From 83b130e0e4a98a5b75ec5d711fe99efc9d4e9c58 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Thu, 13 Jun 2019 17:40:39 -0400
Subject: [PATCH 001/156] [DOC] update package requirements

---
 requirements.txt     |  4 ++--
 requirements_dev.txt | 10 ++++++----
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index b780e72c..98f5fedd 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,7 +5,7 @@ nipype==1.2.0
 pandas==0.24.2
 parse==1.12.0
 tqdm==4.32.1
-pybids==0.8.0
+pybids==0.9.1
 matplotlib==3.1.0
 cytoolz==0.9.0.1
-numba==0.43.1
\ No newline at end of file
+numba==0.44.0
diff --git a/requirements_dev.txt b/requirements_dev.txt
index 01870909..17e71717 100644
--- a/requirements_dev.txt
+++ b/requirements_dev.txt
@@ -3,10 +3,12 @@ bumpversion==0.5.3
 wheel==0.33.4
 watchdog==0.9.0
 flake8==3.7.7
-tox==3.11.1
+tox==3.12.1
 coverage==4.5.3
-Sphinx==2.0.1
+Sphinx==2.1.1
 twine==1.13.0
+black==19.3b0
+versioneer==0.18
 
-pytest==4.5.0
-pytest-runner==4.4
+pytest==4.6.3
+pytest-runner==5.1

From 19111adcecdc2f096ccb8421beafd718f111545c Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Thu, 13 Jun 2019 17:46:15 -0400
Subject: [PATCH 002/156] [REF] refactor dwi code into separate workflow

---
 dmriprep/utils.py                  | 144 +++++++++++++++++-
 dmriprep/workflows/__init__.py     |   0
 dmriprep/workflows/base.py         |  51 +++++++
 dmriprep/workflows/dwi/__init__.py |   3 +
 dmriprep/workflows/dwi/base.py     | 229 +++++++++++++++++++++++++++++
 5 files changed, 426 insertions(+), 1 deletion(-)
 create mode 100644 dmriprep/workflows/__init__.py
 create mode 100644 dmriprep/workflows/base.py
 create mode 100644 dmriprep/workflows/dwi/__init__.py
 create mode 100755 dmriprep/workflows/dwi/base.py

diff --git a/dmriprep/utils.py b/dmriprep/utils.py
index cd92cc17..d88fb120 100644
--- a/dmriprep/utils.py
+++ b/dmriprep/utils.py
@@ -2,10 +2,12 @@
 Utility functions for other submodules
 
 """
+
+import warnings
 import itertools
 
 import numpy as np
-
+from bids.layout import BIDSLayout
 
 mod_logger = logging.getLogger(__name__)
 
@@ -64,3 +66,143 @@ def is_hemispherical(vecs):
     else:
         pole = np.array([0.0, 0.0, 0.0])
     return is_hemi, pole
+
+
+class BIDSError(ValueError):
+    def __init__(self, message, bids_root):
+        indent = 10
+        header = '{sep} BIDS root folder: "{bids_root}" {sep}'.format(
+            bids_root=bids_root, sep=''.join(['-'] * indent))
+        self.msg = '\n{header}\n{indent}{message}\n{footer}'.format(
+            header=header, indent=''.join([' '] * (indent + 1)),
+            message=message, footer=''.join(['-'] * len(header))
+        )
+        super(BIDSError, self).__init__(self.msg)
+        self.bids_root = bids_root
+
+
+class BIDSWarning(RuntimeWarning):
+    pass
+
+
+def collect_participants(bids_dir, participant_label=None, strict=False,
+                         bids_validate=True):
+    """
+    List the participants under the BIDS root and checks that participants
+    designated with the participant_label argument exist in that folder.
+    Returns the list of participants to be finally processed.
+    Requesting all subjects in a BIDS directory root:
+    >>> collect_participants(str(datadir / 'ds114'), bids_validate=False)
+    ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10']
+    Requesting two subjects, given their IDs:
+    >>> collect_participants(str(datadir / 'ds114'), participant_label=['02', '04'],
+    ...                      bids_validate=False)
+    ['02', '04']
+    Requesting two subjects, given their IDs (works with 'sub-' prefixes):
+    >>> collect_participants(str(datadir / 'ds114'), participant_label=['sub-02', 'sub-04'],
+    ...                      bids_validate=False)
+    ['02', '04']
+    Requesting two subjects, but one does not exist:
+    >>> collect_participants(str(datadir / 'ds114'), participant_label=['02', '14'],
+    ...                      bids_validate=False)
+    ['02']
+    >>> collect_participants(
+    ...     str(datadir / 'ds114'), participant_label=['02', '14'],
+    ...     strict=True, bids_validate=False)  # doctest: +IGNORE_EXCEPTION_DETAIL
+    Traceback (most recent call last):
+    fmriprep.utils.bids.BIDSError:
+    ...
+    """
+
+    if isinstance(bids_dir, BIDSLayout):
+        layout = bids_dir
+    else:
+        layout = BIDSLayout(str(bids_dir), validate=bids_validate)
+
+    all_participants = set(layout.get_subjects())
+
+    # Error: bids_dir does not contain subjects
+    if not all_participants:
+        raise BIDSError(
+            'Could not find participants. Please make sure the BIDS data '
+            'structure is present and correct. Datasets can be validated online '
+            'using the BIDS Validator (http://bids-standard.github.io/bids-validator/).\n'
+            'If you are using Docker for Mac or Docker for Windows, you '
+            'may need to adjust your "File sharing" preferences.', bids_dir)
+
+    # No --participant-label was set, return all
+    if not participant_label:
+        return sorted(all_participants)
+
+    if isinstance(participant_label, str):
+        participant_label = [participant_label]
+
+    # Drop sub- prefixes
+    participant_label = [sub[4:] if sub.startswith('sub-') else sub for sub in participant_label]
+    # Remove duplicates
+    participant_label = sorted(set(participant_label))
+    # Remove labels not found
+    found_label = sorted(set(participant_label) & all_participants)
+    if not found_label:
+        raise BIDSError('Could not find participants [{}]'.format(
+            ', '.join(participant_label)), bids_dir)
+
+    # Warn if some IDs were not found
+    notfound_label = sorted(set(participant_label) - all_participants)
+    if notfound_label:
+        exc = BIDSError('Some participants were not found: {}'.format(
+            ', '.join(notfound_label)), bids_dir)
+        if strict:
+            raise exc
+        warnings.warn(exc.msg, BIDSWarning)
+
+    return found_label
+
+
+def collect_data(bids_dir, participant_label, task=None, echo=None,
+                 bids_validate=True):
+    """
+    Uses pybids to retrieve the input data for a given participant
+    >>> bids_root, _ = collect_data(str(datadir / 'ds054'), '100185',
+    ...                             bids_validate=False)
+    >>> bids_root['fmap']  # doctest: +ELLIPSIS
+    ['.../ds054/sub-100185/fmap/sub-100185_magnitude1.nii.gz', \
+'.../ds054/sub-100185/fmap/sub-100185_magnitude2.nii.gz', \
+'.../ds054/sub-100185/fmap/sub-100185_phasediff.nii.gz']
+    >>> bids_root['bold']  # doctest: +ELLIPSIS
+    ['.../ds054/sub-100185/func/sub-100185_task-machinegame_run-01_bold.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-02_bold.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-03_bold.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-04_bold.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-05_bold.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-06_bold.nii.gz']
+    >>> bids_root['sbref']  # doctest: +ELLIPSIS
+    ['.../ds054/sub-100185/func/sub-100185_task-machinegame_run-01_sbref.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-02_sbref.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-03_sbref.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-04_sbref.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-05_sbref.nii.gz', \
+'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-06_sbref.nii.gz']
+    >>> bids_root['t1w']  # doctest: +ELLIPSIS
+    ['.../ds054/sub-100185/anat/sub-100185_T1w.nii.gz']
+    >>> bids_root['t2w']  # doctest: +ELLIPSIS
+    []
+    """
+    if isinstance(bids_dir, BIDSLayout):
+        layout = bids_dir
+    else:
+        layout = BIDSLayout(str(bids_dir), validate=bids_validate)
+
+    queries = {
+        'fmap': {'datatype': 'fmap'},
+        't2w': {'datatype': 'anat', 'suffix': 'T2w'},
+        't1w': {'datatype': 'anat', 'suffix': 'T1w'},
+        'dwi': {'datatype': 'dwi', 'suffix': 'dwi'},
+    }
+
+    subj_data = {
+        dtype: sorted(layout.get(return_type='file', subject=participant_label,
+                                 extensions=['nii', 'nii.gz'], **query))
+        for dtype, query in queries.items()}
+
+    return subj_data, layout
diff --git a/dmriprep/workflows/__init__.py b/dmriprep/workflows/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
new file mode 100644
index 00000000..95b0dcaf
--- /dev/null
+++ b/dmriprep/workflows/base.py
@@ -0,0 +1,51 @@
+#!/usr/bin/env python
+
+import os
+from copy import deepcopy
+
+from nipype.pipeline import engine as pe
+from .dwi import init_dwi_preproc_wf
+
+def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
+    dmriprep_wf = pe.Workflow(name='dmriprep_wf')
+    dmriprep_wf.base_dir = work_dir
+
+    for subject_id in subject_list:
+
+        single_subject_wf = init_single_subject_wf(
+            layout=layout,
+            subject_id=subject_id,
+            name='single_subject_' + subject_id + '_wf',
+            work_dir=work_dir,
+            output_dir=output_dir)
+
+        single_subject_wf.config['execution']['crashdump_dir'] = (
+            os.path.join(output_dir, 'dmriprep', 'sub-' + subject_id, 'log')
+        )
+
+        for node in single_subject_wf._get_all_nodes():
+            node.config = deepcopy(single_subject_wf.config)
+
+        dmriprep_wf.add_nodes([single_subject_wf])
+
+    return dmriprep_wf
+
+
+def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
+    from ..utils import collect_data
+
+    subject_data = collect_data(layout, subject_id)[0]
+
+    if not subject_data['dwi']:
+        raise Exception("No dwi images found for participant {}. "
+                        "All workflows require dwi images".format(subject_id))
+
+    subject_wf = pe.Workflow(name=name)
+
+    for dwi_file in subject_data['dwi']:
+        dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file,
+                                             layout=layout)
+
+        subject_wf.add_nodes([dwi_preproc_wf])
+
+    return subject_wf
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
new file mode 100644
index 00000000..4133e319
--- /dev/null
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -0,0 +1,3 @@
+#!/usr/bin/env python
+
+from .base import init_dwi_preproc_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
new file mode 100755
index 00000000..5afff6a9
--- /dev/null
+++ b/dmriprep/workflows/dwi/base.py
@@ -0,0 +1,229 @@
+#!/usr/bin/env python
+
+def init_dwi_preproc_wf(dwi_file):
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import (freesurfer as fs, fsl, mrtrix3, ants, \
+                                   io as nio, utility as niu)
+    from nipype import logging
+
+    fmaps = []
+    fmaps = layout.get_fieldmap(dwi_file, return_list=True)
+
+    for fmap in fmaps:
+        if fmap['suffix'] == 'phase':
+            fmap_key = 'phase1'
+        else:
+            fmap_key = fmap['suffix']
+        fmap['metadata'] = layout.get_metadata(fmap[fmap_key])
+
+    dwi_wf = pe.Workflow(name="dwi_preproc_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=[
+        'subject_id',
+        'dwi_file',
+        'metadata',
+        'bvec_file',
+        'bval_file',
+        'out_dir',
+        'eddy_niter',
+        'slice_outlier_threshold']),
+        name="inputnode")
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=['out_file', 'out_mask', 'out_bvec']),
+        name="outputnode")
+
+    # name noise and out_file using fname_presuffix
+    denoise = pe.Node(mrtrix3.DWIDenoise(noise='noise.nii.gz',
+                                         out_file='denoised.nii.gz'),
+                      name="denoise")
+
+    # name unring using fname_presuffix
+    unring = pe.Node(mrtrix3.MRDeGibbs(out_file='unringed.nii.gz'),
+                     name="unring")
+
+    def gen_index(in_file):
+        import os.path as op
+        import numpy as np
+        import nibabel as nb
+        from nipype.utils import NUMPY_MMAP
+        from nipype.utils.filemanip import fname_presuffix
+
+        out_file = fname_presuffix(in_file, suffix="_index.txt", newpath=op.abspath('.'), use_ext=False)
+        vols = nb.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
+        index_lines = np.ones((vols, ))
+        index_lines_reshape = index_lines.reshape(1, index_lines.shape[0])
+        np.savetxt(out_file, index_lines_reshape, fmt='%i')
+        return out_file
+
+    gen_idx = pe.Node(
+        niu.Function(
+            input_names=['in_file'],
+            output_names=['out_file'],
+            function=gen_index),
+        name='gen_index')
+
+    def gen_acqparams(in_file, metadata):
+        import os.path as op
+        from nipype.utils.filemanip import fname_presuffix
+
+        out_file = fname_presuffix(in_file, suffix="_acqparams.txt", newpath=op.abspath('.'), use_ext=False)
+
+        acq_param_dict = {
+            'j': '0 1 0 %.7f',
+            'j-': '0 -1 0 %.7f',
+            'i': '1 0 0 %.7f',
+            'i-': '-1 0 0 %.7f',
+            'k': '0 0 1 %.7f',
+            'k-': '0 0 -1 %.7f'
+        }
+
+        pe_dir = metadata.get('PhaseEncodingDirection')
+        total_readout = metadata.get('TotalReadoutTime')
+
+        acq_param_lines = acq_param_dict[pe_dir] % total_readout
+
+        with open(out_file, 'w') as f:
+            f.write(acq_param_lines)
+
+        return out_file
+
+    acqp = pe.Node(
+        niu.Function(
+            input_names=['in_file', 'metadata'],
+            output_names=['out_file'],
+            function=gen_acqparams),
+        name='acqp')
+
+    def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
+        """
+        A function that averages the *b0* volumes from a DWI dataset.
+        As current dMRI data are being acquired with all b-values > 0.0,
+        the *lowb* volumes are selected by specifying the parameter b0_thresh.
+        .. warning:: *b0* should be already registered (head motion artifact should
+          be corrected).
+        """
+        import numpy as np
+        import nibabel as nb
+        import os.path as op
+        from nipype.utils import NUMPY_MMAP
+        from nipype.utils.filemanip import fname_presuffix
+
+        if out_file is None:
+            out_file = fname_presuffix(in_dwi, suffix="_avg_b0", newpath=op.abspath('.'))
+
+        imgs = np.array(nb.four_to_three(nb.load(in_dwi, mmap=NUMPY_MMAP)))
+        bval = np.loadtxt(in_bval)
+        index = np.argwhere(bval <= b0_thresh).flatten().tolist()
+
+        b0s = [im.get_data().astype(np.float32) for im in imgs[index]]
+        b0 = np.average(np.array(b0s), axis=0)
+
+        hdr = imgs[0].header.copy()
+        hdr.set_data_shape(b0.shape)
+        hdr.set_xyzt_units('mm')
+        hdr.set_data_dtype(np.float32)
+        nb.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
+        return out_file
+
+    avg_b0_0 = pe.Node(
+        niu.Function(
+            input_names=['in_dwi', 'in_bval'],
+            output_names=['out_file'],
+            function=b0_average),
+        name='b0_avg_pre')
+
+    # dilate mask
+    bet_dwi0 = pe.Node(
+        fsl.BET(frac=0.3, mask=True, robust=True), name='bet_dwi_pre')
+
+    mrtrix3.MaskFilter
+
+    ecc = pe.Node(fsl.Eddy(repol=True,
+                           cnr_maps=True,
+                           residuals=True,
+                           method='jac'),
+                 name='fsl_eddy')
+
+    import multiprocessing
+    ecc.inputs.num_threads = multiprocessing.cpu_count()
+
+    from numba import cuda
+    try:
+        if cuda.gpus:
+            ecc.inputs.use_cuda = True
+    except:
+        ecc.inputs.use_cuda = False
+
+    avg_b0_1 = pe.Node(
+        niu.Function(
+            input_names=['in_dwi', 'in_bval'],
+            output_names=['out_file'],
+            function=b0_average),
+        name='b0_avg_post')
+
+    bet_dwi1 = pe.Node(
+        fsl.BET(frac=0.3, mask=True, robust=True), name='bet_dwi_post')
+
+    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
+
+    get_path = lambda x: x.split('.nii.gz')[0].split('_fix')[0]
+    get_qc_path = lambda x: x.split('.nii.gz')[0] + '.qc'
+
+    dwi_bias_corr = pe.Node(ants.N4BiasFieldCorrection(), name='dwi_bias_corr')
+
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
+
+    def get_b0_mask_fn(b0_file):
+        import nibabel as nib
+        from nipype.utils.filemanip import fname_presuffix
+        from dipy.segment.mask import median_otsu
+        import os
+
+        mask_file = fname_presuffix(b0_file, suffix="_mask", newpath=os.path.abspath('.'))
+        img = nib.load(b0_file)
+        data, aff = img.get_data(), img.affine
+        _, mask = median_otsu(data, 2, 1)
+        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
+        return mask_file
+
+    b0mask_node = pe.Node(niu.Function(input_names=['b0_file'],
+                                       output_names=['mask_file'],
+                                       function=get_b0_mask_fn),
+                          name="getB0Mask")
+
+    dwi_wf.connect(
+        [(inputnode, denoise, [('dwi_file', 'in_file')]),
+         (denoise, unring, [('out_file', 'in_file')]),
+         (inputnode, avg_b0_0, [('bval_file', 'in_bval')]),
+         (unring, avg_b0_0, [('out_file', 'in_dwi')]),
+         (avg_b0_0, bet_dwi0, [('out_file', 'in_file')]),
+         (inputnode, gen_idx, [('dwi_file', 'in_file')]),
+         (inputnode, acqp, [('dwi_file', 'in_file'),
+                            ('metadata', 'metadata')]),
+         (unring, ecc, [('out_file', 'in_file')]),
+         (inputnode, ecc, [('bval_file', 'in_bval'),
+                           ('bvec_file', 'in_bvec')]),
+         (bet_dwi0, ecc, [('mask_file', 'in_mask')]),
+         (gen_idx, ecc, [('out_file', 'in_index')]),
+         (acqp, ecc, [('out_file', 'in_acqp')]),
+
+         (ecc, fslroi, [('out_corrected', 'in_file')]),
+         (fslroi, b0mask_node, [('roi_file', 'b0_file')]),
+         (ecc, eddy_quad, [(('out_corrected', get_path), 'base_name'),
+                           (('out_corrected', get_qc_path), 'output_dir')]),
+         (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
+         (ecc, eddy_quad, [('out_rotated_bvecs', 'bvec_file')]),
+         (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
+         (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
+         (acqp, eddy_quad, [('out_file', 'param_file')]),
+         # does avg_b0_1 need to be run?
+         (ecc, avg_b0_1, [('out_corrected', 'in_dwi')]),
+         (inputnode, avg_b0_1, [('bval_file', 'in_bval')]),
+         (avg_b0_1, bet_dwi1, [('out_file', 'in_file')]),
+         (ecc, outputnode, [('out_corrected', 'out_file')]),
+         (bet_dwi1, outputnode, [('mask_file', 'out_mask')])
+         (ecc, outputnode, [('out_rotated_bvecs', 'out_bvec')])]
+         )
+
+    return dwi_wf

From ecef8f2e38c8a6ae782c86e5c4ade583f2d30457 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 09:43:49 -0400
Subject: [PATCH 003/156] [REF] remove io module

---
 dmriprep/io.py | 84 --------------------------------------------------
 1 file changed, 84 deletions(-)
 delete mode 100644 dmriprep/io.py

diff --git a/dmriprep/io.py b/dmriprep/io.py
deleted file mode 100644
index a1543873..00000000
--- a/dmriprep/io.py
+++ /dev/null
@@ -1,84 +0,0 @@
-"""
-BIDS-functions to return inputs for the run.py functions.
-
-"""
-import os
-import os.path as op
-from glob import glob
-
-import bids
-
-
-def get_bids_subject_input_files(subject_id, bids_input_directory):
-    """
-    Function to return the needed files for dmriprep based on subject id and a bids directory.
-
-    :param subject_id: string
-    :param bids_input_directory: string to bids dir
-    :return: dict of inputs
-    """
-    layout = bids.layout.BIDSLayout(bids_input_directory, validate=False)
-    subjects = layout.get_subjects()
-    assert subject_id in subjects, "subject {} is not in the bids folder".format(subject_id)
-
-    ap_file = layout.get(subject=subject_id,
-                         datatype='fmap',
-                         suffix='epi',
-                         dir='AP',
-                         extensions=['.nii', '.nii.gz'])
-    assert len(ap_file) == 1, 'found {} ap fieldmap files and we need just 1'.format(len(ap_file))
-
-    pa_file = layout.get(subject=subject_id,
-                         datatype='fmap',
-                         suffix='epi',
-                         dir='PA',
-                         extensions=['.nii', '.nii.gz'])
-    assert len(pa_file) == 1, 'found {} pa fieldmap files and we need just 1'.format(len(pa_file))
-
-    dwi_files = layout.get(subject=subject_id, datatype='dwi', suffix='dwi')
-    valid_dwi_files = []
-
-    for d in dwi_files:
-        if d.path.startswith(op.abspath(op.join(bids_input_directory, 'sub-' + subject_id))):
-            valid_dwi_files.append(d.path)
-
-    dwi_file = [d for d in valid_dwi_files if d.endswith('.nii.gz') and not "TRACE" in d]
-    assert len(dwi_file) == 1, 'found {} dwi files and we need just 1'.format(len(dwi_file))
-
-    bval_file = [d.path for d in dwi_files if d.filename.endswith('.bval')]
-    assert len(bval_file) == 1, 'found {} bval files and we need just 1'.format(len(bval_file))
-
-    bvec_file = [d.path for d in dwi_files if d.filename.endswith('.bvec')]
-    assert len(bvec_file) == 1, 'found {} bvec files and we need just 1'.format(len(bvec_file))
-
-    subjects_dir = op.join(bids_input_directory, 'derivatives', 'sub-'+subject_id)
-
-    if not op.exists(op.join(subjects_dir, 'freesurfer')):
-        raise NotImplementedError('we have not yet implemented a version of dmriprep that runs freesurfer for you.'
-                                  'please run freesurfer and try again'
-                                  )
-
-    outputs = dict(subject_id="sub-"+subject_id,
-                   dwi_file=dwi_file[0],
-                   dwi_file_AP=ap_file[0].path,
-                   dwi_file_PA=pa_file[0].path,
-                   bvec_file=bvec_file[0],
-                   bval_file=bval_file[0],
-                   subjects_dir=op.abspath(subjects_dir))
-    return outputs
-
-
-def get_bids_files(subject_id, bids_input_directory):
-    """
-    subject to get all bids files for am optional subject id and bids dir. if subject id is blank then all subjects
-    are used.
-    :param subject_id:
-    :param bids_input_directory:
-    :return:
-    """
-    if not subject_id:
-        subjects = [s.split("/")[-1].replace("sub-", "") for s in glob(os.path.join(bids_input_directory, "sub-*"))]
-        assert len(subjects), "No subject files found in bids directory"
-        return [get_bids_subject_input_files(sub, bids_input_directory) for sub in subjects]
-    else:
-        return [get_bids_subject_input_files(subject_id, bids_input_directory)]

From feb25ab29ee92296fad99d4dfe54b54d9be9ab7d Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 09:53:19 -0400
Subject: [PATCH 004/156] [REF] modify cli to use refactored workflows

---
 dmriprep/cli.py | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 8b45d7eb..215b6af8 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -7,9 +7,10 @@
 
 import click
 
-from . import io
 from . import run
+from . import utils
 from .data import get_dataset
+from ..workflows.base import init_dmriprep_wf
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
@@ -66,14 +67,15 @@ def main(participant_label, bids_dir, output_dir,
         raise NotImplementedError('The only valid analysis level for dmriprep '
                                   'is participant at the moment.')
 
-    inputs = io.get_bids_files(participant_label, bids_dir)
+    layout = BIDSLayout(bids_dir, validate=False)
+    subject_list = utils.collect_participants(layout,
+                                              participant_label=participant_label)
 
-    for subject_inputs in inputs:
-        run.run_dmriprep_pe(**subject_inputs,
-                            working_dir=os.path.join(output_dir, 'scratch'),
-                            out_dir=output_dir,
-                            eddy_niter=eddy_niter,
-                            slice_outlier_threshold=slice_outlier_threshold)
+    wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir)
+    wf.write_graph(graph2use='colored')
+    wf.config['execution']['remove_unnecessary_outputs'] = False
+    wf.config['execution']['keep_inputs'] = True
+    wf.run()
 
     return 0
 

From 65525ab85dbddde50ee1b7d50b5827f394ac973d Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 10:21:05 -0400
Subject: [PATCH 005/156] [REF] remove io module import

---
 dmriprep/__init__.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/dmriprep/__init__.py b/dmriprep/__init__.py
index 6150760e..cebc3634 100644
--- a/dmriprep/__init__.py
+++ b/dmriprep/__init__.py
@@ -17,7 +17,6 @@
 warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
 
 from . import data
-from . import io
 from . import qc
 from . import run
 

From 77a18b109769e3dac9e6279da3b1e4a7e7313d5a Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 10:28:10 -0400
Subject: [PATCH 006/156] [REF] remove unused dmriprep module

---
 dmriprep/dmriprep.py | 13 -------------
 1 file changed, 13 deletions(-)
 delete mode 100644 dmriprep/dmriprep.py

diff --git a/dmriprep/dmriprep.py b/dmriprep/dmriprep.py
deleted file mode 100644
index 47911d9e..00000000
--- a/dmriprep/dmriprep.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""Main module."""
-
-import logging
-import os
-import os.path as op
-import subprocess
-
-from .run import run_dmriprep
-
-
-mod_logger = logging.getLogger(__name__)

From 377a9b518ea0eda3f5543340c219b07563be28b0 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 11:35:46 -0400
Subject: [PATCH 007/156] [FIX] defined work_dir

---
 dmriprep/cli.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 215b6af8..aec29e00 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -71,6 +71,7 @@ def main(participant_label, bids_dir, output_dir,
     subject_list = utils.collect_participants(layout,
                                               participant_label=participant_label)
 
+    work_dir = os.path.join(output_dir, 'scratch')
     wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir)
     wf.write_graph(graph2use='colored')
     wf.config['execution']['remove_unnecessary_outputs'] = False

From f8eb6ef0a350e08cbf918bf7348336251e1a3335 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 14:30:12 -0400
Subject: [PATCH 008/156] [STY] black formatting changes

---
 dmriprep/cli.py   | 171 ++++++++++++++++++++++++++++------------------
 dmriprep/utils.py |  69 ++++++++++++-------
 2 files changed, 148 insertions(+), 92 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index aec29e00..261e2985 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -10,7 +10,7 @@
 from . import run
 from . import utils
 from .data import get_dataset
-from ..workflows.base import init_dmriprep_wf
+from .workflows.base import init_dmriprep_wf
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
@@ -19,37 +19,47 @@
 
 
 @click.command()
-@click.option('--participant-label',
-              help="The label(s) of the participant(s) that should be"
-                   "analyzed. The label corresponds to"
-                   "sub-<participant_label> from the BIDS spec (so it does"
-                   "not include 'sub-'). If this parameter is not provided"
-                   "all subjects will be analyzed. Multiple participants"
-                   "can be specified with a space separated list.",
-              default=None)
-@click.option('--eddy-niter',
-              help="Fixed number of eddy iterations. See "
-                   "https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide"
-                   "#A--niter",
-              default=5, type=(int))
-@click.option('--slice-outlier-threshold',
-              help="Number of allowed outlier slices per volume. "
-                   "If this is exceeded the volume is dropped from analysis. "
-                   "If an int is provided, it is treated as number of allowed "
-                   "outlier slices. If a float between 0 and 1 "
-                   "(exclusive) is provided, it is treated the fraction of "
-                   "allowed outlier slices.",
-              default=0.02)
-@click.argument('bids_dir',
-                )
-@click.argument('output_dir',
-                )
-@click.argument('analysis_level',
-                type=click.Choice(['participant', 'group']),
-                default='participant')
-def main(participant_label, bids_dir, output_dir,
-         eddy_niter=5, slice_outlier_threshold=0.02,
-         analysis_level="participant"):
+@click.option(
+    "--participant-label",
+    help="The label(s) of the participant(s) that should be"
+    "analyzed. The label corresponds to"
+    "sub-<participant_label> from the BIDS spec (so it does"
+    "not include 'sub-'). If this parameter is not provided"
+    "all subjects will be analyzed. Multiple participants"
+    "can be specified with a space separated list.",
+    default=None,
+)
+@click.option(
+    "--eddy-niter",
+    help="Fixed number of eddy iterations. See "
+    "https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide"
+    "#A--niter",
+    default=5,
+    type=(int),
+)
+@click.option(
+    "--slice-outlier-threshold",
+    help="Number of allowed outlier slices per volume. "
+    "If this is exceeded the volume is dropped from analysis. "
+    "If an int is provided, it is treated as number of allowed "
+    "outlier slices. If a float between 0 and 1 "
+    "(exclusive) is provided, it is treated the fraction of "
+    "allowed outlier slices.",
+    default=0.02,
+)
+@click.argument("bids_dir")
+@click.argument("output_dir")
+@click.argument(
+    "analysis_level", type=click.Choice(["participant", "group"]), default="participant"
+)
+def main(
+    participant_label,
+    bids_dir,
+    output_dir,
+    eddy_niter=5,
+    slice_outlier_threshold=0.02,
+    analysis_level="participant",
+):
     """
     BIDS_DIR: The directory with the input dataset formatted according to
     the BIDS standard.
@@ -63,30 +73,39 @@ def main(participant_label, bids_dir, output_dir,
     participant level analyses can be run independently
     (in parallel).
     """
-    if analysis_level is not 'participant':
-        raise NotImplementedError('The only valid analysis level for dmriprep '
-                                  'is participant at the moment.')
+    if analysis_level is not "participant":
+        raise NotImplementedError(
+            "The only valid analysis level for dmriprep "
+            "is participant at the moment."
+        )
 
     layout = BIDSLayout(bids_dir, validate=False)
-    subject_list = utils.collect_participants(layout,
-                                              participant_label=participant_label)
+    subject_list = utils.collect_participants(
+        layout, participant_label=participant_label
+    )
 
-    work_dir = os.path.join(output_dir, 'scratch')
+    work_dir = os.path.join(output_dir, "scratch")
     wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir)
-    wf.write_graph(graph2use='colored')
-    wf.config['execution']['remove_unnecessary_outputs'] = False
-    wf.config['execution']['keep_inputs'] = True
+    wf.write_graph(graph2use="colored")
+    wf.config["execution"]["remove_unnecessary_outputs"] = False
+    wf.config["execution"]["keep_inputs"] = True
     wf.run()
 
     return 0
 
+
 @click.command()
-@click.argument('output_dir',
-                )
-@click.option('--subject', help="subject id to download (will choose 1 subject if not specified",
-              default="sub-NDARBA507GCT")
-@click.option('--study', help="which study to download. Right now we only support the HBN dataset",
-              default="HBN")
+@click.argument("output_dir")
+@click.option(
+    "--subject",
+    help="subject id to download (will choose 1 subject if not specified",
+    default="sub-NDARBA507GCT",
+)
+@click.option(
+    "--study",
+    help="which study to download. Right now we only support the HBN dataset",
+    default="HBN",
+)
 def data(output_dir, study="HBN", subject="sub-NDARBA507GCT"):
     """
     Download dwi raw data in BIDS format from public datasets
@@ -99,21 +118,27 @@ def data(output_dir, study="HBN", subject="sub-NDARBA507GCT"):
     if not os.path.exists(output_dir):
         os.makedirs(output_dir)
 
-    if study.upper() != 'HBN':
-        raise NotImplementedError('We only support data downloads from the HBN dataset right now.')
+    if study.upper() != "HBN":
+        raise NotImplementedError(
+            "We only support data downloads from the HBN dataset right now."
+        )
 
     get_dataset(os.path.abspath(output_dir), source=study.upper(), subject_id=subject)
-    print('done')
+    print("done")
 
 
 @click.command()
-@click.argument('output_dir')
-@click.argument('bucket')
-@click.option('--access_key', help="your AWS access key")
-@click.option('--secret_key', help="your AWS access secret")
-@click.option('--provider', default='s3', help="Cloud storage provider. Only S3 is supported right now.")
-@click.option('--subject', default=None, help="Subject id to upload (optional)")
-def upload(output_dir, bucket, access_key, secret_key, provider='s3', subject=None):
+@click.argument("output_dir")
+@click.argument("bucket")
+@click.option("--access_key", help="your AWS access key")
+@click.option("--secret_key", help="your AWS access secret")
+@click.option(
+    "--provider",
+    default="s3",
+    help="Cloud storage provider. Only S3 is supported right now.",
+)
+@click.option("--subject", default=None, help="Subject id to upload (optional)")
+def upload(output_dir, bucket, access_key, secret_key, provider="s3", subject=None):
     """
     OUTPUT_DIR: The directory where the output files were stored.
 
@@ -125,31 +150,43 @@ def upload(output_dir, bucket, access_key, secret_key, provider='s3', subject=No
     from tqdm.auto import tqdm
 
     output_dir = os.path.abspath(output_dir)
-    if not output_dir.endswith('/'):
-        output_dir += '/'
+    if not output_dir.endswith("/"):
+        output_dir += "/"
 
-    if provider == 's3' or provider == 'S3':
-        client = boto3.client('s3',  aws_access_key_id=access_key, aws_secret_access_key=secret_key)
+    if provider == "s3" or provider == "S3":
+        client = boto3.client(
+            "s3", aws_access_key_id=access_key, aws_secret_access_key=secret_key
+        )
 
         if subject is not None:
-            assert os.path.exists(os.path.join(output_dir, subject)), 'this subject id does not exist!'
+            assert os.path.exists(
+                os.path.join(output_dir, subject)
+            ), "this subject id does not exist!"
             subjects = [subject]
         else:
-            subjects = [os.path.split(s)[1] for s in glob(os.path.join(output_dir, 'sub-*'))]
+            subjects = [
+                os.path.split(s)[1] for s in glob(os.path.join(output_dir, "sub-*"))
+            ]
 
         def upload_subject(sub, sub_idx):
-            base_dir = os.path.join(output_dir, sub, 'dmriprep')
+            base_dir = os.path.join(output_dir, sub, "dmriprep")
             for root, dirs, files in os.walk(base_dir):
                 if len(files):
-                    for f in tqdm(files, desc=f"Uploading {sub} {root.split('/')[-1]}", position=sub_idx):
+                    for f in tqdm(
+                        files,
+                        desc=f"Uploading {sub} {root.split('/')[-1]}",
+                        position=sub_idx,
+                    ):
                         filepath = os.path.join(root, f)
-                        key = root.replace(output_dir, '')
+                        key = root.replace(output_dir, "")
                         client.upload_file(filepath, bucket, os.path.join(key, f))
 
         uploads = [delayed(upload_subject)(s, idx) for idx, s in enumerate(subjects)]
         _ = list(compute(*uploads, scheduler="threads"))
     else:
-        raise NotImplementedError('Only S3 is the only supported provider for data uploads at the moment')
+        raise NotImplementedError(
+            "Only S3 is the only supported provider for data uploads at the moment"
+        )
 
 
 if __name__ == "__main__":
diff --git a/dmriprep/utils.py b/dmriprep/utils.py
index d88fb120..58799bc8 100644
--- a/dmriprep/utils.py
+++ b/dmriprep/utils.py
@@ -5,6 +5,7 @@
 
 import warnings
 import itertools
+import logging
 
 import numpy as np
 from bids.layout import BIDSLayout
@@ -72,10 +73,13 @@ class BIDSError(ValueError):
     def __init__(self, message, bids_root):
         indent = 10
         header = '{sep} BIDS root folder: "{bids_root}" {sep}'.format(
-            bids_root=bids_root, sep=''.join(['-'] * indent))
-        self.msg = '\n{header}\n{indent}{message}\n{footer}'.format(
-            header=header, indent=''.join([' '] * (indent + 1)),
-            message=message, footer=''.join(['-'] * len(header))
+            bids_root=bids_root, sep="".join(["-"] * indent)
+        )
+        self.msg = "\n{header}\n{indent}{message}\n{footer}".format(
+            header=header,
+            indent="".join([" "] * (indent + 1)),
+            message=message,
+            footer="".join(["-"] * len(header)),
         )
         super(BIDSError, self).__init__(self.msg)
         self.bids_root = bids_root
@@ -85,8 +89,9 @@ class BIDSWarning(RuntimeWarning):
     pass
 
 
-def collect_participants(bids_dir, participant_label=None, strict=False,
-                         bids_validate=True):
+def collect_participants(
+    bids_dir, participant_label=None, strict=False, bids_validate=True
+):
     """
     List the participants under the BIDS root and checks that participants
     designated with the participant_label argument exist in that folder.
@@ -124,11 +129,13 @@ def collect_participants(bids_dir, participant_label=None, strict=False,
     # Error: bids_dir does not contain subjects
     if not all_participants:
         raise BIDSError(
-            'Could not find participants. Please make sure the BIDS data '
-            'structure is present and correct. Datasets can be validated online '
-            'using the BIDS Validator (http://bids-standard.github.io/bids-validator/).\n'
-            'If you are using Docker for Mac or Docker for Windows, you '
-            'may need to adjust your "File sharing" preferences.', bids_dir)
+            "Could not find participants. Please make sure the BIDS data "
+            "structure is present and correct. Datasets can be validated online "
+            "using the BIDS Validator (http://bids-standard.github.io/bids-validator/).\n"
+            "If you are using Docker for Mac or Docker for Windows, you "
+            'may need to adjust your "File sharing" preferences.',
+            bids_dir,
+        )
 
     # No --participant-label was set, return all
     if not participant_label:
@@ -138,20 +145,26 @@ def collect_participants(bids_dir, participant_label=None, strict=False,
         participant_label = [participant_label]
 
     # Drop sub- prefixes
-    participant_label = [sub[4:] if sub.startswith('sub-') else sub for sub in participant_label]
+    participant_label = [
+        sub[4:] if sub.startswith("sub-") else sub for sub in participant_label
+    ]
     # Remove duplicates
     participant_label = sorted(set(participant_label))
     # Remove labels not found
     found_label = sorted(set(participant_label) & all_participants)
     if not found_label:
-        raise BIDSError('Could not find participants [{}]'.format(
-            ', '.join(participant_label)), bids_dir)
+        raise BIDSError(
+            "Could not find participants [{}]".format(", ".join(participant_label)),
+            bids_dir,
+        )
 
     # Warn if some IDs were not found
     notfound_label = sorted(set(participant_label) - all_participants)
     if notfound_label:
-        exc = BIDSError('Some participants were not found: {}'.format(
-            ', '.join(notfound_label)), bids_dir)
+        exc = BIDSError(
+            "Some participants were not found: {}".format(", ".join(notfound_label)),
+            bids_dir,
+        )
         if strict:
             raise exc
         warnings.warn(exc.msg, BIDSWarning)
@@ -159,8 +172,7 @@ def collect_participants(bids_dir, participant_label=None, strict=False,
     return found_label
 
 
-def collect_data(bids_dir, participant_label, task=None, echo=None,
-                 bids_validate=True):
+def collect_data(bids_dir, participant_label, task=None, echo=None, bids_validate=True):
     """
     Uses pybids to retrieve the input data for a given participant
     >>> bids_root, _ = collect_data(str(datadir / 'ds054'), '100185',
@@ -194,15 +206,22 @@ def collect_data(bids_dir, participant_label, task=None, echo=None,
         layout = BIDSLayout(str(bids_dir), validate=bids_validate)
 
     queries = {
-        'fmap': {'datatype': 'fmap'},
-        't2w': {'datatype': 'anat', 'suffix': 'T2w'},
-        't1w': {'datatype': 'anat', 'suffix': 'T1w'},
-        'dwi': {'datatype': 'dwi', 'suffix': 'dwi'},
+        "fmap": {"datatype": "fmap"},
+        "t2w": {"datatype": "anat", "suffix": "T2w"},
+        "t1w": {"datatype": "anat", "suffix": "T1w"},
+        "dwi": {"datatype": "dwi", "suffix": "dwi"},
     }
 
     subj_data = {
-        dtype: sorted(layout.get(return_type='file', subject=participant_label,
-                                 extensions=['nii', 'nii.gz'], **query))
-        for dtype, query in queries.items()}
+        dtype: sorted(
+            layout.get(
+                return_type="file",
+                subject=participant_label,
+                extensions=["nii", "nii.gz"],
+                **query
+            )
+        )
+        for dtype, query in queries.items()
+    }
 
     return subj_data, layout

From 457965c6d1c42a1a983da2882a3291efe96ad5a4 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 14:30:35 -0400
Subject: [PATCH 009/156] [FIX] remove unnecessary mask step

---
 dmriprep/workflows/dwi/base.py | 237 ++++++++++++++++++---------------
 1 file changed, 128 insertions(+), 109 deletions(-)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 5afff6a9..4b5c0d5b 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,46 +1,59 @@
 #!/usr/bin/env python
 
+
 def init_dwi_preproc_wf(dwi_file):
     from nipype.pipeline import engine as pe
-    from nipype.interfaces import (freesurfer as fs, fsl, mrtrix3, ants, \
-                                   io as nio, utility as niu)
+    from nipype.interfaces import (
+        freesurfer as fs,
+        fsl,
+        mrtrix3,
+        ants,
+        io as nio,
+        utility as niu,
+    )
     from nipype import logging
 
     fmaps = []
     fmaps = layout.get_fieldmap(dwi_file, return_list=True)
 
     for fmap in fmaps:
-        if fmap['suffix'] == 'phase':
-            fmap_key = 'phase1'
+        if fmap["suffix"] == "phase":
+            fmap_key = "phase1"
         else:
-            fmap_key = fmap['suffix']
-        fmap['metadata'] = layout.get_metadata(fmap[fmap_key])
+            fmap_key = fmap["suffix"]
+        fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=[
-        'subject_id',
-        'dwi_file',
-        'metadata',
-        'bvec_file',
-        'bval_file',
-        'out_dir',
-        'eddy_niter',
-        'slice_outlier_threshold']),
-        name="inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                "subject_id",
+                "dwi_file",
+                "metadata",
+                "bvec_file",
+                "bval_file",
+                "out_dir",
+                "eddy_niter",
+                "slice_outlier_threshold",
+            ]
+        ),
+        name="inputnode",
+    )
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=['out_file', 'out_mask', 'out_bvec']),
-        name="outputnode")
+        niu.IdentityInterface(fields=["out_file", "out_mask", "out_bvec"]),
+        name="outputnode",
+    )
 
     # name noise and out_file using fname_presuffix
-    denoise = pe.Node(mrtrix3.DWIDenoise(noise='noise.nii.gz',
-                                         out_file='denoised.nii.gz'),
-                      name="denoise")
+    denoise = pe.Node(
+        mrtrix3.DWIDenoise(noise="noise.nii.gz", out_file="denoised.nii.gz"),
+        name="denoise",
+    )
 
     # name unring using fname_presuffix
-    unring = pe.Node(mrtrix3.MRDeGibbs(out_file='unringed.nii.gz'),
-                     name="unring")
+    unring = pe.Node(mrtrix3.MRDeGibbs(out_file="unringed.nii.gz"), name="unring")
 
     def gen_index(in_file):
         import os.path as op
@@ -49,59 +62,65 @@ def gen_index(in_file):
         from nipype.utils import NUMPY_MMAP
         from nipype.utils.filemanip import fname_presuffix
 
-        out_file = fname_presuffix(in_file, suffix="_index.txt", newpath=op.abspath('.'), use_ext=False)
+        out_file = fname_presuffix(
+            in_file, suffix="_index.txt", newpath=op.abspath("."), use_ext=False
+        )
         vols = nb.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
-        index_lines = np.ones((vols, ))
+        index_lines = np.ones((vols,))
         index_lines_reshape = index_lines.reshape(1, index_lines.shape[0])
-        np.savetxt(out_file, index_lines_reshape, fmt='%i')
+        np.savetxt(out_file, index_lines_reshape, fmt="%i")
         return out_file
 
     gen_idx = pe.Node(
         niu.Function(
-            input_names=['in_file'],
-            output_names=['out_file'],
-            function=gen_index),
-        name='gen_index')
+            input_names=["in_file"], output_names=["out_file"], function=gen_index
+        ),
+        name="gen_index",
+    )
 
     def gen_acqparams(in_file, metadata):
         import os.path as op
         from nipype.utils.filemanip import fname_presuffix
 
-        out_file = fname_presuffix(in_file, suffix="_acqparams.txt", newpath=op.abspath('.'), use_ext=False)
+        out_file = fname_presuffix(
+            in_file, suffix="_acqparams.txt", newpath=op.abspath("."), use_ext=False
+        )
 
         acq_param_dict = {
-            'j': '0 1 0 %.7f',
-            'j-': '0 -1 0 %.7f',
-            'i': '1 0 0 %.7f',
-            'i-': '-1 0 0 %.7f',
-            'k': '0 0 1 %.7f',
-            'k-': '0 0 -1 %.7f'
+            "j": "0 1 0 %.7f",
+            "j-": "0 -1 0 %.7f",
+            "i": "1 0 0 %.7f",
+            "i-": "-1 0 0 %.7f",
+            "k": "0 0 1 %.7f",
+            "k-": "0 0 -1 %.7f",
         }
 
-        pe_dir = metadata.get('PhaseEncodingDirection')
-        total_readout = metadata.get('TotalReadoutTime')
+        pe_dir = metadata.get("PhaseEncodingDirection")
+        total_readout = metadata.get("TotalReadoutTime")
 
         acq_param_lines = acq_param_dict[pe_dir] % total_readout
 
-        with open(out_file, 'w') as f:
+        with open(out_file, "w") as f:
             f.write(acq_param_lines)
 
         return out_file
 
     acqp = pe.Node(
         niu.Function(
-            input_names=['in_file', 'metadata'],
-            output_names=['out_file'],
-            function=gen_acqparams),
-        name='acqp')
+            input_names=["in_file", "metadata"],
+            output_names=["out_file"],
+            function=gen_acqparams,
+        ),
+        name="acqp",
+    )
 
     def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         """
         A function that averages the *b0* volumes from a DWI dataset.
         As current dMRI data are being acquired with all b-values > 0.0,
         the *lowb* volumes are selected by specifying the parameter b0_thresh.
-        .. warning:: *b0* should be already registered (head motion artifact should
-          be corrected).
+        .. warning:: *b0* should be already registered (head motion artifact
+        should be corrected).
         """
         import numpy as np
         import nibabel as nb
@@ -110,7 +129,9 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         from nipype.utils.filemanip import fname_presuffix
 
         if out_file is None:
-            out_file = fname_presuffix(in_dwi, suffix="_avg_b0", newpath=op.abspath('.'))
+            out_file = fname_presuffix(
+                in_dwi, suffix="_avg_b0", newpath=op.abspath(".")
+            )
 
         imgs = np.array(nb.four_to_three(nb.load(in_dwi, mmap=NUMPY_MMAP)))
         bval = np.loadtxt(in_bval)
@@ -121,56 +142,48 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
 
         hdr = imgs[0].header.copy()
         hdr.set_data_shape(b0.shape)
-        hdr.set_xyzt_units('mm')
+        hdr.set_xyzt_units("mm")
         hdr.set_data_dtype(np.float32)
         nb.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
         return out_file
 
     avg_b0_0 = pe.Node(
         niu.Function(
-            input_names=['in_dwi', 'in_bval'],
-            output_names=['out_file'],
-            function=b0_average),
-        name='b0_avg_pre')
+            input_names=["in_dwi", "in_bval"],
+            output_names=["out_file"],
+            function=b0_average,
+        ),
+        name="b0_avg_pre",
+    )
 
     # dilate mask
-    bet_dwi0 = pe.Node(
-        fsl.BET(frac=0.3, mask=True, robust=True), name='bet_dwi_pre')
+    bet_dwi0 = pe.Node(fsl.BET(frac=0.3, mask=True, robust=True), name="bet_dwi_pre")
 
     mrtrix3.MaskFilter
 
-    ecc = pe.Node(fsl.Eddy(repol=True,
-                           cnr_maps=True,
-                           residuals=True,
-                           method='jac'),
-                 name='fsl_eddy')
+    ecc = pe.Node(
+        fsl.Eddy(repol=True, cnr_maps=True, residuals=True, method="jac"),
+        name="fsl_eddy",
+    )
 
     import multiprocessing
+
     ecc.inputs.num_threads = multiprocessing.cpu_count()
 
     from numba import cuda
+
     try:
         if cuda.gpus:
             ecc.inputs.use_cuda = True
     except:
         ecc.inputs.use_cuda = False
 
-    avg_b0_1 = pe.Node(
-        niu.Function(
-            input_names=['in_dwi', 'in_bval'],
-            output_names=['out_file'],
-            function=b0_average),
-        name='b0_avg_post')
-
-    bet_dwi1 = pe.Node(
-        fsl.BET(frac=0.3, mask=True, robust=True), name='bet_dwi_post')
-
     eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
 
-    get_path = lambda x: x.split('.nii.gz')[0].split('_fix')[0]
-    get_qc_path = lambda x: x.split('.nii.gz')[0] + '.qc'
+    get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
+    get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
 
-    dwi_bias_corr = pe.Node(ants.N4BiasFieldCorrection(), name='dwi_bias_corr')
+    dwi_bias_corr = pe.Node(ants.N4BiasFieldCorrection(), name="dwi_bias_corr")
 
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
 
@@ -180,50 +193,56 @@ def get_b0_mask_fn(b0_file):
         from dipy.segment.mask import median_otsu
         import os
 
-        mask_file = fname_presuffix(b0_file, suffix="_mask", newpath=os.path.abspath('.'))
+        mask_file = fname_presuffix(
+            b0_file, suffix="_mask", newpath=os.path.abspath(".")
+        )
         img = nib.load(b0_file)
         data, aff = img.get_data(), img.affine
         _, mask = median_otsu(data, 2, 1)
         nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
         return mask_file
 
-    b0mask_node = pe.Node(niu.Function(input_names=['b0_file'],
-                                       output_names=['mask_file'],
-                                       function=get_b0_mask_fn),
-                          name="getB0Mask")
+    b0mask_node = pe.Node(
+        niu.Function(
+            input_names=["b0_file"], output_names=["mask_file"], function=get_b0_mask_fn
+        ),
+        name="getB0Mask",
+    )
 
     dwi_wf.connect(
-        [(inputnode, denoise, [('dwi_file', 'in_file')]),
-         (denoise, unring, [('out_file', 'in_file')]),
-         (inputnode, avg_b0_0, [('bval_file', 'in_bval')]),
-         (unring, avg_b0_0, [('out_file', 'in_dwi')]),
-         (avg_b0_0, bet_dwi0, [('out_file', 'in_file')]),
-         (inputnode, gen_idx, [('dwi_file', 'in_file')]),
-         (inputnode, acqp, [('dwi_file', 'in_file'),
-                            ('metadata', 'metadata')]),
-         (unring, ecc, [('out_file', 'in_file')]),
-         (inputnode, ecc, [('bval_file', 'in_bval'),
-                           ('bvec_file', 'in_bvec')]),
-         (bet_dwi0, ecc, [('mask_file', 'in_mask')]),
-         (gen_idx, ecc, [('out_file', 'in_index')]),
-         (acqp, ecc, [('out_file', 'in_acqp')]),
-
-         (ecc, fslroi, [('out_corrected', 'in_file')]),
-         (fslroi, b0mask_node, [('roi_file', 'b0_file')]),
-         (ecc, eddy_quad, [(('out_corrected', get_path), 'base_name'),
-                           (('out_corrected', get_qc_path), 'output_dir')]),
-         (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
-         (ecc, eddy_quad, [('out_rotated_bvecs', 'bvec_file')]),
-         (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
-         (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
-         (acqp, eddy_quad, [('out_file', 'param_file')]),
-         # does avg_b0_1 need to be run?
-         (ecc, avg_b0_1, [('out_corrected', 'in_dwi')]),
-         (inputnode, avg_b0_1, [('bval_file', 'in_bval')]),
-         (avg_b0_1, bet_dwi1, [('out_file', 'in_file')]),
-         (ecc, outputnode, [('out_corrected', 'out_file')]),
-         (bet_dwi1, outputnode, [('mask_file', 'out_mask')])
-         (ecc, outputnode, [('out_rotated_bvecs', 'out_bvec')])]
-         )
+        [
+            (inputnode, denoise, [("dwi_file", "in_file")]),
+            (denoise, unring, [("out_file", "in_file")]),
+            (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
+            (unring, avg_b0_0, [("out_file", "in_dwi")]),
+            (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
+            (inputnode, gen_idx, [("dwi_file", "in_file")]),
+            (inputnode, acqp, [("dwi_file", "in_file"), ("metadata", "metadata")]),
+            (unring, ecc, [("out_file", "in_file")]),
+            (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
+            (bet_dwi0, ecc, [("mask_file", "in_mask")]),
+            (gen_idx, ecc, [("out_file", "in_index")]),
+            (acqp, ecc, [("out_file", "in_acqp")]),
+            (ecc, fslroi, [("out_corrected", "in_file")]),
+            (fslroi, b0mask_node, [("roi_file", "b0_file")]),
+            (
+                ecc,
+                eddy_quad,
+                [
+                    (("out_corrected", get_path), "base_name"),
+                    (("out_corrected", get_qc_path), "output_dir"),
+                ],
+            ),
+            (inputnode, eddy_quad, [("bval_file", "bval_file")]),
+            (ecc, eddy_quad, [("out_rotated_bvecs", "bvec_file")]),
+            (b0mask_node, eddy_quad, [("mask_file", "mask_file")]),
+            (gen_idx, eddy_quad, [("out_file", "idx_file")]),
+            (acqp, eddy_quad, [("out_file", "param_file")]),
+            (ecc, outputnode, [("out_corrected", "out_file")]),
+            (b0mask_node, outputnode, [("mask_file", "out_mask")])(
+                ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]
+            ),
+        ]
+    )
 
     return dwi_wf

From d9e1fd7ae0c6fe897b60bb6f28082ef051ff512e Mon Sep 17 00:00:00 2001
From: Salim Mansour <smansour@hopper.camhres.ca>
Date: Fri, 14 Jun 2019 16:18:35 -0400
Subject: [PATCH 010/156] Fixed module recognition and added input spec

---
 dmriprep/cli.py                |  1 +
 dmriprep/workflows/base.py     | 11 +++++++++++
 dmriprep/workflows/dwi/base.py | 17 ++++++++---------
 setup.py                       |  2 +-
 4 files changed, 21 insertions(+), 10 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 261e2985..2681c922 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -4,6 +4,7 @@
 import os
 import sys
 import warnings
+from bids import BIDSLayout
 
 import click
 
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 95b0dcaf..089c86d0 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -45,6 +45,17 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
     for dwi_file in subject_data['dwi']:
         dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file,
                                              layout=layout)
+        dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(work_dir), subject_id)
+        entities = layout.parse_file_entities(dwi_file)
+        session_id = entities['session']
+
+        inputspec = dwi_preproc_wf.get_node('inputnode')
+        inputspec.inputs.subject_id = subject_id
+        inputspec.inputs.dwi_file = dwi_file
+        inputspec.inputs.metadata = layout.get_metadata(dwi_file)
+        inputspec.inputs.bvec_file = layout.get_bvec(dwi_file)
+        inputspec.inputs.bval_file = layout.get_bval(dwi_file)
+        inputspec.inputs.out_dir = os.path.abspath(output_dir)
 
         subject_wf.add_nodes([dwi_preproc_wf])
 
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 4b5c0d5b..de4fef1c 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 
 
-def init_dwi_preproc_wf(dwi_file):
+def init_dwi_preproc_wf(dwi_file, layout):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import (
         freesurfer as fs,
@@ -43,13 +43,13 @@ def init_dwi_preproc_wf(dwi_file):
 
     outputnode = pe.Node(
         niu.IdentityInterface(fields=["out_file", "out_mask", "out_bvec"]),
-        name="outputnode",
+        name="outputnode"
     )
 
     # name noise and out_file using fname_presuffix
     denoise = pe.Node(
         mrtrix3.DWIDenoise(noise="noise.nii.gz", out_file="denoised.nii.gz"),
-        name="denoise",
+        name="denoise"
     )
 
     # name unring using fname_presuffix
@@ -159,7 +159,7 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     # dilate mask
     bet_dwi0 = pe.Node(fsl.BET(frac=0.3, mask=True, robust=True), name="bet_dwi_pre")
 
-    mrtrix3.MaskFilter
+    #mrtrix3.MaskFilter
 
     ecc = pe.Node(
         fsl.Eddy(repol=True, cnr_maps=True, residuals=True, method="jac"),
@@ -230,8 +230,8 @@ def get_b0_mask_fn(b0_file):
                 eddy_quad,
                 [
                     (("out_corrected", get_path), "base_name"),
-                    (("out_corrected", get_qc_path), "output_dir"),
-                ],
+                    (("out_corrected", get_qc_path), "output_dir")
+                ]
             ),
             (inputnode, eddy_quad, [("bval_file", "bval_file")]),
             (ecc, eddy_quad, [("out_rotated_bvecs", "bvec_file")]),
@@ -239,9 +239,8 @@ def get_b0_mask_fn(b0_file):
             (gen_idx, eddy_quad, [("out_file", "idx_file")]),
             (acqp, eddy_quad, [("out_file", "param_file")]),
             (ecc, outputnode, [("out_corrected", "out_file")]),
-            (b0mask_node, outputnode, [("mask_file", "out_mask")])(
-                ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]
-            ),
+            (b0mask_node, outputnode, [("mask_file", "out_mask")]),
+            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")])
         ]
     )
 
diff --git a/setup.py b/setup.py
index 38597c97..54452b5b 100644
--- a/setup.py
+++ b/setup.py
@@ -59,7 +59,7 @@
     include_package_data=True,
     keywords="dmriprep",
     name="dmriprep",
-    packages=find_packages(include=["dmriprep"]),
+    packages=find_packages(include=["dmriprep*"]),
     setup_requires=setup_requirements,
     test_suite="tests",
     tests_require=test_requirements,

From 556ecab707c89d6b382436050a11bdb4ebfe3e52 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 14 Jun 2019 17:11:29 -0400
Subject: [PATCH 011/156] [STY] changes created by black

---
 dmriprep/__init__.py           |  18 +-
 dmriprep/data.py               | 472 ++++++++++++++++-----------------
 dmriprep/qc.py                 | 128 +++++----
 dmriprep/workflows/base.py     |  29 +-
 dmriprep/workflows/dwi/base.py |  12 +-
 5 files changed, 334 insertions(+), 325 deletions(-)

diff --git a/dmriprep/__init__.py b/dmriprep/__init__.py
index cebc3634..e0d2b3df 100644
--- a/dmriprep/__init__.py
+++ b/dmriprep/__init__.py
@@ -3,8 +3,8 @@
 """Top-level package for dmriprep."""
 
 __author__ = """Anisha Keshavan"""
-__email__ = 'anishakeshavan@gmail.com'
-__version__ = '0.1.0'
+__email__ = "anishakeshavan@gmail.com"
+__version__ = "0.1.0"
 
 import errno
 import logging
@@ -24,34 +24,32 @@
 
 # get the log level from environment variable
 if "DMIRPREP_LOGLEVEL" in os.environ:
-    loglevel = os.environ['DMRIPREP_LOGLEVEL']
+    loglevel = os.environ["DMRIPREP_LOGLEVEL"]
     module_logger.setLevel(getattr(logging, loglevel.upper()))
 else:
     module_logger.setLevel(logging.WARNING)
 
 # create a file handler
-logpath = os.path.join(os.path.expanduser('~'), '.dmriprep', 'dmriprep.log')
+logpath = os.path.join(os.path.expanduser("~"), ".dmriprep", "dmriprep.log")
 
 # Create the config directory if it doesn't exist
 logdir = os.path.dirname(logpath)
 try:
     os.makedirs(logdir)
 except OSError as e:
-    pre_existing = (e.errno == errno.EEXIST and os.path.isdir(logdir))
+    pre_existing = e.errno == errno.EEXIST and os.path.isdir(logdir)
     if pre_existing:
         pass
     else:
         raise e
 
-handler = logging.FileHandler(logpath, mode='w')
+handler = logging.FileHandler(logpath, mode="w")
 handler.setLevel(logging.DEBUG)
 
 # create a logging format
-formatter = logging.Formatter(
-    '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
-)
+formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
 handler.setFormatter(formatter)
 
 # add the handlers to the logger
 module_logger.addHandler(handler)
-module_logger.info('Started new dmriprep session')
+module_logger.info("Started new dmriprep session")
diff --git a/dmriprep/data.py b/dmriprep/data.py
index d06767e5..15b4366e 100644
--- a/dmriprep/data.py
+++ b/dmriprep/data.py
@@ -20,11 +20,11 @@
 mod_logger = logging.getLogger(__name__)
 
 
-def get_dataset(output_dir, source='HBN', subject_id='sub-NDARBA507GCT'):
-    if source in ['HBN']:
+def get_dataset(output_dir, source="HBN", subject_id="sub-NDARBA507GCT"):
+    if source in ["HBN"]:
         get_hbn_data(output_dir, subject_id)
     else:
-        raise ValueError('Invalid dataset source')
+        raise ValueError("Invalid dataset source")
 
 
 def get_hbn_data(output_dir, subject_id):
@@ -47,11 +47,11 @@ def get_s3_client():
     from botocore.client import Config
 
     # Global s3 client to preserve anonymous config
-    s3_client = boto3.client('s3', config=Config(signature_version=UNSIGNED))
+    s3_client = boto3.client("s3", config=Config(signature_version=UNSIGNED))
     return s3_client
 
 
-def _get_matching_s3_keys(bucket, prefix='', suffix=''):
+def _get_matching_s3_keys(bucket, prefix="", suffix=""):
     """Generate all the matching keys in an S3 bucket.
 
     Parameters
@@ -71,12 +71,12 @@ def _get_matching_s3_keys(bucket, prefix='', suffix=''):
         S3 keys that match the prefix and suffix
     """
     s3 = get_s3_client()
-    kwargs = {'Bucket': bucket, "MaxKeys": 1000}
+    kwargs = {"Bucket": bucket, "MaxKeys": 1000}
 
     # If the prefix is a single string (not a tuple of strings), we can
     # do the filtering directly in the S3 API.
     if isinstance(prefix, str):
-        kwargs['Prefix'] = prefix
+        kwargs["Prefix"] = prefix
 
     while True:
         # The S3 API response is a large blob of metadata.
@@ -84,12 +84,12 @@ def _get_matching_s3_keys(bucket, prefix='', suffix=''):
         resp = s3.list_objects_v2(**kwargs)
 
         try:
-            contents = resp['Contents']
+            contents = resp["Contents"]
         except KeyError:
             return
 
         for obj in contents:
-            key = obj['Key']
+            key = obj["Key"]
             if key.startswith(prefix) and key.endswith(suffix):
                 yield key
 
@@ -97,7 +97,7 @@ def _get_matching_s3_keys(bucket, prefix='', suffix=''):
         # Pass the continuation token into the next response, until we
         # reach the final page (when this field is missing).
         try:
-            kwargs['ContinuationToken'] = resp['NextContinuationToken']
+            kwargs["ContinuationToken"] = resp["NextContinuationToken"]
         except KeyError:
             break
 
@@ -129,7 +129,7 @@ def _download_from_s3(fname, bucket, key, overwrite=False):
         # Download the file
         s3.download_file(Bucket=bucket, Key=key, Filename=fname)
     except FileExistsError:
-        mod_logger.info(f'File {fname} already exists. Continuing...')
+        mod_logger.info(f"File {fname} already exists. Continuing...")
         pass
 
 
@@ -179,12 +179,12 @@ def _cumulative_paths(path_parts, add_ext=""):
     except IndexError:
         pass
 
-    return [''.join(path_parts[:i+1]) + add_ext
-            for i in range(len(path_parts))]
+    return ["".join(path_parts[: i + 1]) + add_ext for i in range(len(path_parts))]
 
 
 class Study:
     """A dMRI based study with a BIDS compliant directory structure"""
+
     def __init__(self, study_id, bucket, s3_prefix, subjects=None):
         """Initialize a Study instance
 
@@ -214,16 +214,18 @@ def __init__(self, study_id, bucket, s3_prefix, subjects=None):
         if not isinstance(s3_prefix, str):
             raise TypeError("s3_prefix must be a string.")
 
-        if not (subjects is None or
-                isinstance(subjects, int) or
-                isinstance(subjects, str) or
-                all(isinstance(s, str) for s in subjects)):
-            raise TypeError("subjects must be an int, string or a "
-                            "sequence of strings.")
+        if not (
+            subjects is None
+            or isinstance(subjects, int)
+            or isinstance(subjects, str)
+            or all(isinstance(s, str) for s in subjects)
+        ):
+            raise TypeError(
+                "subjects must be an int, string or a " "sequence of strings."
+            )
 
         if isinstance(subjects, int) and subjects < 1:
-            raise ValueError("If subjects is an int, it must be "
-                             "greater than 0.")
+            raise ValueError("If subjects is an int, it must be " "greater than 0.")
 
         self._study_id = study_id
         self._bucket = bucket
@@ -256,9 +258,7 @@ def __init__(self, study_id, bucket, s3_prefix, subjects=None):
                 f"{set(subjects) - set(self._all_subjects.keys())}"
             )
 
-        subs = [
-            delayed(self._get_subject)(s) for s in set(subjects)
-        ]
+        subs = [delayed(self._get_subject)(s) for s in set(subjects)]
 
         print("Retrieving subject S3 keys")
         with ProgressBar():
@@ -274,15 +274,13 @@ def __init__(self, study_id, bucket, s3_prefix, subjects=None):
                 if n_needed == 1:
                     subjects = [sorted(self._all_subjects.keys())[idx_lo]]
                 else:
-                    subjects = sorted(
-                        self._all_subjects.keys()
-                    )[idx_lo:idx_lo + n_needed]
+                    subjects = sorted(self._all_subjects.keys())[
+                        idx_lo : idx_lo + n_needed
+                    ]
 
                 idx_lo += n_needed
 
-                subs = [
-                    delayed(self._get_subject)(s) for s in set(subjects)
-                ]
+                subs = [delayed(self._get_subject)(s) for s in set(subjects)]
 
                 with ProgressBar():
                     subjects = list(compute(*subs, scheduler="threads"))
@@ -293,7 +291,6 @@ def __init__(self, study_id, bucket, s3_prefix, subjects=None):
         else:
             self._n_discarded = len([s for s in subjects if not s.valid])
 
-
     @property
     def study_id(self):
         """An identifier string for the study"""
@@ -315,14 +312,16 @@ def subjects(self):
         return self._subjects
 
     def __repr__(self):
-        return (f"{type(self).__name__}(study_id={self.study_id}, "
-                f"bucket={self.bucket}, s3_prefix={self.s3_prefix})")
+        return (
+            f"{type(self).__name__}(study_id={self.study_id}, "
+            f"bucket={self.bucket}, s3_prefix={self.s3_prefix})"
+        )
 
     def _get_subject(self, subject_id):
         """Return a Subject instance from a subject-ID"""
-        return Subject(subject_id=subject_id,
-                       site=self._all_subjects[subject_id],
-                       study=self)
+        return Subject(
+            subject_id=subject_id, site=self._all_subjects[subject_id], study=self
+        )
 
     def list_all_subjects(self):
         """Return a study-specific list of subjects.
@@ -354,8 +353,7 @@ def postprocess(self, subject):
         """
         pass
 
-    def download(self, directory, include_site=False, overwrite=False,
-                 pbar=True):
+    def download(self, directory, include_site=False, overwrite=False, pbar=True):
         """Download files for each subject in the study
 
         Parameters
@@ -376,13 +374,16 @@ def download(self, directory, include_site=False, overwrite=False,
         --------
         dmriprep.data.Subject.download()
         """
-        results = [delayed(sub.download)(
-            directory=directory,
-            include_site=include_site,
-            overwrite=overwrite,
-            pbar=pbar,
-            pbar_idx=idx,
-        ) for idx, sub in enumerate(self.subjects)]
+        results = [
+            delayed(sub.download)(
+                directory=directory,
+                include_site=include_site,
+                overwrite=overwrite,
+                pbar=pbar,
+                pbar_idx=idx,
+            )
+            for idx, sub in enumerate(self.subjects)
+        ]
 
         compute(*results, scheduler="threads")
 
@@ -391,8 +392,8 @@ class S3BidsStudy(Study):
     """
 
     """
-    def __init__(self, study_id, bucket, s3_prefix=None,
-                 subjects=None):
+
+    def __init__(self, study_id, bucket, s3_prefix=None, subjects=None):
         """
         Initialize a study which is organized as BIDS compliant S3 bucket, or a
         sub-path of this bucket.
@@ -415,10 +416,8 @@ def __init__(self, study_id, bucket, s3_prefix=None,
         if s3_prefix is None:
             s3_prefix = ""
         super().__init__(
-            study_id=study_id,
-            bucket=bucket,
-            s3_prefix=s3_prefix,
-            subjects=subjects)
+            study_id=study_id, bucket=bucket, s3_prefix=s3_prefix, subjects=subjects
+        )
 
     def list_all_subjects(self):
         """
@@ -427,8 +426,6 @@ def list_all_subjects(self):
         # XXX Ariel will figure this out.
 
 
-
-
 class HBN(Study):
     """The HBN study
 
@@ -436,6 +433,7 @@ class HBN(Study):
     --------
     dmriprep.data.Study
     """
+
     def __init__(self, subjects=None):
         """Initialize the HBN instance
 
@@ -450,7 +448,7 @@ def __init__(self, subjects=None):
             study_id="HBN",
             bucket="fcp-indi",
             s3_prefix="data/Projects/HBN/MRI",
-            subjects=subjects
+            subjects=subjects,
         )
 
     def list_all_subjects(self):
@@ -463,32 +461,27 @@ def list_all_subjects(self):
         dict
             dict with participant_id as keys and site_id as values
         """
+
         def get_site_tsv_keys(site_id):
-            pre = 'data/Projects/HBN/MRI/'
-            raw = pre + f'{site_id}/participants.tsv'
-            deriv = pre + f'{site_id}/derivatives/participants.tsv'
-            return {'raw': raw, 'deriv': deriv}
+            pre = "data/Projects/HBN/MRI/"
+            raw = pre + f"{site_id}/participants.tsv"
+            deriv = pre + f"{site_id}/derivatives/participants.tsv"
+            return {"raw": raw, "deriv": deriv}
 
-        sites = ['Site-CBIC', 'Site-RU', 'Site-SI']
+        sites = ["Site-CBIC", "Site-RU", "Site-SI"]
         tsv_keys = {site: get_site_tsv_keys(site) for site in sites}
 
         s3 = get_s3_client()
 
         def get_subs_from_tsv_key(s3_key):
-            response = s3.get_object(
-                Bucket=self.bucket,
-                Key=s3_key
-            )
+            response = s3.get_object(Bucket=self.bucket, Key=s3_key)
 
-            return set(pd.read_csv(
-                response.get('Body')
-            ).participant_id.values)
+            return set(pd.read_csv(response.get("Body")).participant_id.values)
 
         subjects = {}
         for site, s3_keys in tsv_keys.items():
-            site_subs = {k: get_subs_from_tsv_key(v)
-                         for k, v in s3_keys.items()}
-            subjects[site] = site_subs['raw'] & site_subs['deriv']
+            site_subs = {k: get_subs_from_tsv_key(v) for k, v in s3_keys.items()}
+            subjects[site] = site_subs["raw"] & site_subs["deriv"]
 
         all_subjects = {}
         for site, subs in subjects.items():
@@ -511,19 +504,15 @@ def filter_keys(self, subject):
             subject instance
         """
         if subject.site == "Site-CBIC":
-            t1w_keys = subject.s3_keys['t1w']
-            freesurfer_keys = subject.s3_keys['freesurfer']
+            t1w_keys = subject.s3_keys["t1w"]
+            freesurfer_keys = subject.s3_keys["freesurfer"]
             correct_dir = "T1w_VNavNorm"
 
-            subject._s3_keys['t1w'] = list(filter(
-                lambda x: correct_dir in x,
-                t1w_keys
-            ))
+            subject._s3_keys["t1w"] = list(filter(lambda x: correct_dir in x, t1w_keys))
 
-            subject._s3_keys['freesurfer'] = list(filter(
-                lambda x: correct_dir in x,
-                freesurfer_keys
-            ))
+            subject._s3_keys["freesurfer"] = list(
+                filter(lambda x: correct_dir in x, freesurfer_keys)
+            )
 
     def postprocess(self, subject):
         """Move the T1 file back into the freesurfer directory.
@@ -538,27 +527,27 @@ def postprocess(self, subject):
             subject instance
         """
         for sess in subject.files.keys():
-            t1_file = subject.files[sess]['t1w'][0]
-            freesurfer_path = op.join(op.dirname(t1_file), 'freesurfer')
+            t1_file = subject.files[sess]["t1w"][0]
+            freesurfer_path = op.join(op.dirname(t1_file), "freesurfer")
 
-            convert_cmd = 'mri_convert {in_:s} {out_:s}'.format(
-                in_=t1_file, out_=op.join(freesurfer_path, 'mri', 'orig.mgz')
+            convert_cmd = "mri_convert {in_:s} {out_:s}".format(
+                in_=t1_file, out_=op.join(freesurfer_path, "mri", "orig.mgz")
             )
 
-            fnull = open(os.devnull, 'w')
-            subprocess.call(convert_cmd.split(),
-                            stdout=fnull,
-                            stderr=subprocess.STDOUT)
+            fnull = open(os.devnull, "w")
+            subprocess.call(convert_cmd.split(), stdout=fnull, stderr=subprocess.STDOUT)
 
             # if the site is CBIC, then the freesurfer directory has an additional level.
             # move that level up by 1 (e.g. removing the T1w_VNavNorm folder
-            if subject.site == 'Site-CBIC':
-                newpath = freesurfer_path.replace('T1w_VNavNorm/', '')
-                move_cmd = 'mv {oldpath} {newpath}'.format(oldpath=freesurfer_path, newpath=newpath)
-                fnull1 = open(os.devnull, 'w')
-                subprocess.call(move_cmd.split(),
-                                stdout=fnull1,
-                                stderr=subprocess.STDOUT)
+            if subject.site == "Site-CBIC":
+                newpath = freesurfer_path.replace("T1w_VNavNorm/", "")
+                move_cmd = "mv {oldpath} {newpath}".format(
+                    oldpath=freesurfer_path, newpath=newpath
+                )
+                fnull1 = open(os.devnull, "w")
+                subprocess.call(
+                    move_cmd.split(), stdout=fnull1, stderr=subprocess.STDOUT
+                )
 
             # now check that the AP/PA files are named correctly
             # eg it should look like "sub-{id}_dir-{dir}_acq-dwi_epi.nii.gz
@@ -568,6 +557,7 @@ def postprocess(self, subject):
 
 class Subject:
     """A single dMRI study subject"""
+
     def __init__(self, subject_id, study, site=None):
         """Initialize a Subject instance
 
@@ -652,9 +642,11 @@ def files(self):
         return self._files
 
     def __repr__(self):
-        return (f"{type(self).__name__}(subject_id={self.subject_id}, "
-                f"study_id={self.study.study_id}, site={self.site}, "
-                f"valid={self.valid})")
+        return (
+            f"{type(self).__name__}(subject_id={self.subject_id}, "
+            f"study_id={self.study.study_id}, site={self.site}, "
+            f"valid={self.valid})"
+        )
 
     def _list_s3_keys(self):
         """Get all required S3 keys for this subject
@@ -665,20 +657,15 @@ def _list_s3_keys(self):
             S3 keys organized into "raw" and "deriv" lists
         """
         prefixes = {
-            'raw': '/'.join([self.study.s3_prefix,
-                             self.site,
-                             self.subject_id]),
-            'deriv': '/'.join([self.study.s3_prefix,
-                               self.site,
-                               'derivatives',
-                               self.subject_id]),
+            "raw": "/".join([self.study.s3_prefix, self.site, self.subject_id]),
+            "deriv": "/".join(
+                [self.study.s3_prefix, self.site, "derivatives", self.subject_id]
+            ),
         }
 
         s3_keys = {
-            rd: list(_get_matching_s3_keys(
-                bucket=self.study.bucket,
-                prefix=prefix,
-            )) for rd, prefix in prefixes.items()
+            rd: list(_get_matching_s3_keys(bucket=self.study.bucket, prefix=prefix))
+            for rd, prefix in prefixes.items()
         }
 
         return s3_keys
@@ -691,29 +678,26 @@ def _organize_s3_keys(self):
         """
         # Retrieve and unpack the s3_keys
         s3_keys = self._list_s3_keys()
-        dwi_keys = [k for k in s3_keys['raw'] if '/dwi/' in k]
-        fmap_keys = [k for k in s3_keys['raw'] if '/fmap/' in k]
-        deriv_keys = s3_keys['deriv']
-        all_json_keys = [k for k in s3_keys['raw'] if k.endswith('.json')]
+        dwi_keys = [k for k in s3_keys["raw"] if "/dwi/" in k]
+        fmap_keys = [k for k in s3_keys["raw"] if "/fmap/" in k]
+        deriv_keys = s3_keys["deriv"]
+        all_json_keys = [k for k in s3_keys["raw"] if k.endswith(".json")]
 
         # Get the dwi files, bvec files, and bval files
-        dwi = [f for f in dwi_keys
-               if f.endswith('.nii.gz') and 'TRACEW' not in f]
-        bvec = [f for f in dwi_keys if f.endswith('.bvec')]
-        bval = [f for f in dwi_keys if f.endswith('.bval')]
-        epi_nii = [f for f in fmap_keys if f.endswith('epi.nii.gz')
-                   and 'fMRI' not in f]
-        epi_json = [f for f in fmap_keys if f.endswith('epi.json')
-                    and 'fMRI' not in f]
-        t1w = [f for f in deriv_keys if f.endswith('/T1w.nii.gz')]
-        freesurfer = [f for f in deriv_keys
-                      if '/freesurfer/' in f]
+        dwi = [f for f in dwi_keys if f.endswith(".nii.gz") and "TRACEW" not in f]
+        bvec = [f for f in dwi_keys if f.endswith(".bvec")]
+        bval = [f for f in dwi_keys if f.endswith(".bval")]
+        epi_nii = [f for f in fmap_keys if f.endswith("epi.nii.gz") and "fMRI" not in f]
+        epi_json = [f for f in fmap_keys if f.endswith("epi.json") and "fMRI" not in f]
+        t1w = [f for f in deriv_keys if f.endswith("/T1w.nii.gz")]
+        freesurfer = [f for f in deriv_keys if "/freesurfer/" in f]
 
         json_keys = []
         for file_list in [dwi, bvec, bval, epi_nii, t1w]:
             for f in file_list:
-                potential_keys = _cumulative_paths(_recursive_split_ext(f),
-                                                   add_ext="json")
+                potential_keys = _cumulative_paths(
+                    _recursive_split_ext(f), add_ext="json"
+                )
                 json_keys += [k for k in potential_keys if k in all_json_keys]
 
         # Use truthiness of non-empty lists to verify that all
@@ -736,8 +720,9 @@ def _organize_s3_keys(self):
             self._valid = False
             self._s3_keys = None
 
-    def download(self, directory, include_site=False,
-                 overwrite=False, pbar=True, pbar_idx=0):
+    def download(
+        self, directory, include_site=False, overwrite=False, pbar=True, pbar_idx=0
+    ):
         """Download files from S3
 
         Parameters
@@ -768,9 +753,11 @@ def download(self, directory, include_site=False,
             directory = op.join(directory, self.site)
 
         files = {
-            k: [op.abspath(op.join(
-                directory, p.split('/' + self.site + '/')[-1]
-            )) for p in v] for k, v in self.s3_keys.items()
+            k: [
+                op.abspath(op.join(directory, p.split("/" + self.site + "/")[-1]))
+                for p in v
+            ]
+            for k, v in self.s3_keys.items()
         }
 
         # Generate list of (key, file) tuples
@@ -812,15 +799,16 @@ def download(self, directory, include_site=False,
 
         # Now iterate through the list and download each item
         if pbar:
-            progress = tqdm(desc=f"Download {self.subject_id}",
-                            position=pbar_idx,
-                            total=len(key_file_pairs) + 1)
+            progress = tqdm(
+                desc=f"Download {self.subject_id}",
+                position=pbar_idx,
+                total=len(key_file_pairs) + 1,
+            )
 
         for (key, fname) in key_file_pairs:
-            _download_from_s3(fname=fname,
-                              bucket=self.study.bucket,
-                              key=key,
-                              overwrite=overwrite)
+            _download_from_s3(
+                fname=fname, bucket=self.study.bucket, key=key, overwrite=overwrite
+            )
 
             if pbar:
                 progress.update()
@@ -834,12 +822,15 @@ def download(self, directory, include_site=False,
             progress.update()
             progress.close()
 
-    def _determine_directions(self,
-                              input_files,
-                              input_type='s3',
-                              metadata_source='json',
-                              json_key='PhaseEncodingDirection',
-                              ap_value='j-', pa_value='j'):
+    def _determine_directions(
+        self,
+        input_files,
+        input_type="s3",
+        metadata_source="json",
+        json_key="PhaseEncodingDirection",
+        ap_value="j-",
+        pa_value="j",
+    ):
         """Determine direction ['AP', 'PA'] of single subject's EPI nifty files
 
         Use either metadata in associated json file or filename
@@ -872,42 +863,39 @@ def _determine_directions(self,
             self.s3_keys except that in the "epi_nii" and "epi_json" keys
             have been replaced with "epi_ap" and "epi_pa."
         """
-        if metadata_source not in ['filename', 'json']:
+        if metadata_source not in ["filename", "json"]:
             raise ValueError('metadata_source must be "filename" or "json".')
 
-        if input_type not in ['s3', 'local']:
+        if input_type not in ["s3", "local"]:
             raise ValueError('input_type must be "local" or "s3".')
 
-        epi_files = input_files['epi_nii']
-        json_files = input_files['epi_json']
-        if metadata_source == 'filename':
-            ap_files = [f for f in epi_files if 'dir-AP' in f]
-            pa_files = [f for f in epi_files if 'dir-PA' in f]
+        epi_files = input_files["epi_nii"]
+        json_files = input_files["epi_json"]
+        if metadata_source == "filename":
+            ap_files = [f for f in epi_files if "dir-AP" in f]
+            pa_files = [f for f in epi_files if "dir-PA" in f]
         else:
             # Confirm that each nifty file has a corresponding json file.
-            required_json = set([f.replace('.nii.gz', '.json') for f in epi_files])
+            required_json = set([f.replace(".nii.gz", ".json") for f in epi_files])
             if set(json_files) != required_json:
                 self._valid = False
                 mod_logger.warning(
-                    f'Subject {self.subject_id} does not have json files '
-                    f'corresponding to its fmap NIFTI files. Failed to '
-                    f'find the following expected files: '
-                    f'{required_json - set(json_files)}. Subject deemed '
-                    f'invalid.'
+                    f"Subject {self.subject_id} does not have json files "
+                    f"corresponding to its fmap NIFTI files. Failed to "
+                    f"find the following expected files: "
+                    f"{required_json - set(json_files)}. Subject deemed "
+                    f"invalid."
                 )
                 return input_files
 
             def get_json(json_file):
-                if input_type == 'local':
-                    with open(json_file, 'r') as fp:
+                if input_type == "local":
+                    with open(json_file, "r") as fp:
                         meta = json.load(fp)
                 else:
                     s3 = get_s3_client()
-                    response = s3.get_object(
-                        Bucket=self.study.bucket,
-                        Key=json_file,
-                    )
-                    meta = json.loads(response.get('Body').read())
+                    response = s3.get_object(Bucket=self.study.bucket, Key=json_file)
+                    meta = json.loads(response.get("Body").read())
 
                 return meta
 
@@ -918,76 +906,76 @@ def get_json(json_file):
 
                 direction = metadata.get(json_key)
                 if direction == ap_value:
-                    if 'dir-PA' in jfile:
+                    if "dir-PA" in jfile:
                         mod_logger.warning(
-                            'The key {key:s}={val:s} does not match the direction '
-                            'suggested by the filename {fn:s}'.format(
+                            "The key {key:s}={val:s} does not match the direction "
+                            "suggested by the filename {fn:s}".format(
                                 key=json_key, val=direction, fn=jfile
                             )
                         )
-                    ap_files.append(jfile.replace('.json', '.nii.gz'))
+                    ap_files.append(jfile.replace(".json", ".nii.gz"))
                 elif direction == pa_value:
-                    if 'dir-AP' in jfile:
+                    if "dir-AP" in jfile:
                         mod_logger.warning(
-                            'The key {key:s}={val:s} does not match the direction '
-                            'suggested by the filename {fn:s}'.format(
+                            "The key {key:s}={val:s} does not match the direction "
+                            "suggested by the filename {fn:s}".format(
                                 key=json_key, val=direction, fn=jfile
                             )
                         )
-                    pa_files.append(jfile.replace('.json', '.nii.gz'))
+                    pa_files.append(jfile.replace(".json", ".nii.gz"))
                 elif direction is None:
                     mod_logger.warning(
-                        'The key {key:s} does not exist in file {jfile:s}. '
-                        'Falling back on filename to determine directionality.'
-                        '\n\n'.format(key=json_key, jfile=jfile)
+                        "The key {key:s} does not exist in file {jfile:s}. "
+                        "Falling back on filename to determine directionality."
+                        "\n\n".format(key=json_key, jfile=jfile)
                     )
-                    if 'dir-AP' in jfile:
-                        ap_files.append(jfile.replace('.json', '.nii.gz'))
-                    elif 'dir-PA' in jfile:
-                        pa_files.append(jfile.replace('.json', '.nii.gz'))
+                    if "dir-AP" in jfile:
+                        ap_files.append(jfile.replace(".json", ".nii.gz"))
+                    elif "dir-PA" in jfile:
+                        pa_files.append(jfile.replace(".json", ".nii.gz"))
                     else:
                         self._valid = False
                         mod_logger.warning(
-                            f'Subject {self.subject_id} lacks the expected '
-                            f'{json_key} key in file {jfile} and the '
-                            f'directionality could not be inferred from the '
-                            f'file name. Setting subject validity to False.'
+                            f"Subject {self.subject_id} lacks the expected "
+                            f"{json_key} key in file {jfile} and the "
+                            f"directionality could not be inferred from the "
+                            f"file name. Setting subject validity to False."
                         )
                         return input_files
                 else:
                     mod_logger.warning(
-                        'The metadata in file {jfile:s} does not match the dir-PA '
-                        'or dir-AP values that you provided. {key:s} = {val:s}. '
-                        'Falling back on filename to determine directionality.\n\n'
-                        ''.format(jfile=jfile, key=json_key, val=direction)
+                        "The metadata in file {jfile:s} does not match the dir-PA "
+                        "or dir-AP values that you provided. {key:s} = {val:s}. "
+                        "Falling back on filename to determine directionality.\n\n"
+                        "".format(jfile=jfile, key=json_key, val=direction)
                     )
-                    if 'dir-AP' in jfile:
-                        ap_files.append(jfile.replace('.json', '.nii.gz'))
-                    elif 'dir-PA' in jfile:
-                        pa_files.append(jfile.replace('.json', '.nii.gz'))
+                    if "dir-AP" in jfile:
+                        ap_files.append(jfile.replace(".json", ".nii.gz"))
+                    elif "dir-PA" in jfile:
+                        pa_files.append(jfile.replace(".json", ".nii.gz"))
                     else:
                         self._valid = False
                         mod_logger.warning(
-                            'The metadata for key {key:s} in file {jfile:s} does '
-                            'not match the dir-PA or dir-AP values that you '
-                            'provided. {key:s} = {val:s}. And the directionality '
-                            'could not be inferred from the file name.'.format(
-                                key=json_key,
-                                jfile=jfile,
-                                val=direction,
-                            ))
+                            "The metadata for key {key:s} in file {jfile:s} does "
+                            "not match the dir-PA or dir-AP values that you "
+                            "provided. {key:s} = {val:s}. And the directionality "
+                            "could not be inferred from the file name.".format(
+                                key=json_key, jfile=jfile, val=direction
+                            )
+                        )
                         return input_files
 
         files = copy.deepcopy(input_files)
-        del files['epi_nii']
-        del files['epi_json']
-        files['epi_ap'] = ap_files
-        files['epi_pa'] = pa_files
+        del files["epi_nii"]
+        del files["epi_json"]
+        files["epi_ap"] = ap_files
+        files["epi_pa"] = pa_files
 
         return files
 
-    def _separate_sessions(self, input_files, multiples_policy='sessions',
-                           assign_empty_sessions=True):
+    def _separate_sessions(
+        self, input_files, multiples_policy="sessions", assign_empty_sessions=True
+    ):
         """Separate input file register into different sessions
 
         Parameters
@@ -1010,22 +998,23 @@ def _separate_sessions(self, input_files, multiples_policy='sessions',
         dict of dicts
             Dict of Dicts of file names
         """
-        if multiples_policy not in ['sessions', 'concatenate']:
-            raise ValueError('`multiples_policy` must be either "sessions" or '
-                             '"concatenate"')
+        if multiples_policy not in ["sessions", "concatenate"]:
+            raise ValueError(
+                '`multiples_policy` must be either "sessions" or ' '"concatenate"'
+            )
 
         # Take only the first of the T1W nifty files
-        if len(input_files['t1w']) > 1:
+        if len(input_files["t1w"]) > 1:
             mod_logger.warning(
                 f"Found more than one T1W file for subject {self.subject_id} "
                 f"at site {self.site}. Discarding the others.\n\n"
             )
 
-        t1w = input_files['t1w']
+        t1w = input_files["t1w"]
 
         # Take only the first freesurfer directory
         freesurfer_dirs = {
-            f.split('/freesurfer/')[0] for f in input_files['freesurfer']
+            f.split("/freesurfer/")[0] for f in input_files["freesurfer"]
         }
 
         if len(freesurfer_dirs) > 1:
@@ -1036,25 +1025,24 @@ def _separate_sessions(self, input_files, multiples_policy='sessions',
             )
 
         freesurfer_dir = freesurfer_dirs.pop()
-        freesurfer = [f for f in input_files['freesurfer']
-                      if f.startswith(freesurfer_dir)]
+        freesurfer = [
+            f for f in input_files["freesurfer"] if f.startswith(freesurfer_dir)
+        ]
 
         # Organize the files by session ID
-        def get_sess_id(filename, fallback='null'):
+        def get_sess_id(filename, fallback="null"):
             # Retrieve the session ID from a filename
-            match = re.search('/ses-[0-9a-zA-Z]*/', filename)
+            match = re.search("/ses-[0-9a-zA-Z]*/", filename)
             if match is not None:
-                return match.group().strip('/')
+                return match.group().strip("/")
             else:
                 return fallback
 
-        ftypes = ['dwi', 'bvec', 'bval', 'epi_ap', 'epi_pa']
+        ftypes = ["dwi", "bvec", "bval", "epi_ap", "epi_pa"]
 
-        sess_ids = {ft: {get_sess_id(fn) for fn in input_files[ft]}
-                    for ft in ftypes}
+        sess_ids = {ft: {get_sess_id(fn) for fn in input_files[ft]} for ft in ftypes}
 
-        if not all([s == list(sess_ids.values())[0]
-                    for s in sess_ids.values()]):
+        if not all([s == list(sess_ids.values())[0] for s in sess_ids.values()]):
             mod_logger.warning(
                 "Session numbers are inconsistent for subject {sub:s} at site "
                 "{site:s}. Ses-IDs: {sess_ids!s}.\n"
@@ -1063,8 +1051,9 @@ def get_sess_id(filename, fallback='null'):
                     site=self.site,
                     sess_ids=sess_ids,
                     files={
-                        k: (v) for k, v in input_files.items()
-                        if k in ['dwi', 'bvec', 'bval', 'epi_ap', 'epi_pa']
+                        k: (v)
+                        for k, v in input_files.items()
+                        if k in ["dwi", "bvec", "bval", "epi_ap", "epi_pa"]
                     },
                 )
             )
@@ -1077,9 +1066,7 @@ def get_sess_id(filename, fallback='null'):
         # Collect files by session ID and then file type
         files_by_session = {
             sess: {
-                ft: [
-                    f for f in input_files[ft] if get_sess_id(f) == sess
-                ]
+                ft: [f for f in input_files[ft] if get_sess_id(f) == sess]
                 for ft in ftypes
             }
             for sess in sess_ids
@@ -1090,8 +1077,11 @@ def get_sess_id(filename, fallback='null'):
         # Loop over each session ID
         for session, files in files_by_session.items():
             # Confirm that the subject has an equal number of each type of file
-            n_files = {k: len(v) for k, v in files.items()
-                       if k in ['dwi', 'bvec', 'bval', 'epi_ap', 'epi_pa']}
+            n_files = {
+                k: len(v)
+                for k, v in files.items()
+                if k in ["dwi", "bvec", "bval", "epi_ap", "epi_pa"]
+            }
 
             if len(set(n_files.values())) != 1:
                 mod_logger.warning(
@@ -1102,32 +1092,34 @@ def get_sess_id(filename, fallback='null'):
             elif len(set(n_files.values())) == 1:
                 # There is only one set of files in this session.
                 # Append to output.
-                if session == 'null':
-                    output_session = 'ses-01' if assign_empty_sessions else None
+                if session == "null":
+                    output_session = "ses-01" if assign_empty_sessions else None
                 else:
                     output_session = session
 
                 output_files[output_session] = dict(
-                    dwi=input_files['dwi'],
-                    bvec=input_files['bvec'],
-                    bval=input_files['bval'],
-                    epi_ap=input_files['epi_ap'],
-                    epi_pa=input_files['epi_pa'],
-                    json=input_files['json'],
+                    dwi=input_files["dwi"],
+                    bvec=input_files["bvec"],
+                    bval=input_files["bval"],
+                    epi_ap=input_files["epi_ap"],
+                    epi_pa=input_files["epi_pa"],
+                    json=input_files["json"],
                     t1w=t1w,
                     freesurfer=freesurfer,
                 )
             else:
                 # There are multiple copies of files for this one session ID.
-                if multiples_policy == 'concatenate':
+                if multiples_policy == "concatenate":
                     # The multiple copies represent one session and should be
                     # concatenated
-                    raise NotImplementedError("Concatenation of multiples not "
-                                              "yet implemented.")
+                    raise NotImplementedError(
+                        "Concatenation of multiples not " "yet implemented."
+                    )
                 else:
                     # The multiple copies represent multiple sessions and
                     # should be further subdivided into sessions
-                    raise NotImplementedError("Session subdivision not yet "
-                                              "implemented.")
+                    raise NotImplementedError(
+                        "Session subdivision not yet " "implemented."
+                    )
 
         return output_files
diff --git a/dmriprep/qc.py b/dmriprep/qc.py
index b6663f22..be3a91a9 100644
--- a/dmriprep/qc.py
+++ b/dmriprep/qc.py
@@ -3,7 +3,8 @@
 from io import BytesIO
 
 import matplotlib
-matplotlib.use('agg')
+
+matplotlib.use("agg")
 import matplotlib.pyplot as plt
 import nibabel as nib
 import numpy as np
@@ -18,15 +19,14 @@ def reorient_array(data, aff):
     data_RAS = nib.orientations.apply_orientation(data, orientation)
     # In RAS
     return nib.orientations.apply_orientation(
-        data_RAS,
-        nib.orientations.axcodes2ornt("IPL")
+        data_RAS, nib.orientations.axcodes2ornt("IPL")
     )
 
 
 def mplfig(data, outfile=None, as_bytes=False):
     fig = plt.figure(frameon=False, dpi=data.shape[0])
-    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
-    ax = plt.Axes(fig, [0., 0., 1., 1.])
+    fig.set_size_inches(float(data.shape[1]) / data.shape[0], 1)
+    ax = plt.Axes(fig, [0.0, 0.0, 1.0, 1.0])
     ax.set_axis_off()
     fig.add_axes(ax)
     ax.imshow(data, aspect=1, cmap=plt.cm.Greys_r)  # previous aspect="normal"
@@ -36,7 +36,7 @@ def mplfig(data, outfile=None, as_bytes=False):
         return outfile
     if as_bytes:
         IObytes = BytesIO()
-        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
+        plt.savefig(IObytes, format="png", dpi=data.shape[0], transparent=True)
         IObytes.seek(0)
         base64_jpgData = base64.b64encode(IObytes.read())
         return base64_jpgData.decode("ascii")
@@ -44,8 +44,8 @@ def mplfig(data, outfile=None, as_bytes=False):
 
 def mplfigcontour(data, outfile=None, as_bytes=False):
     fig = plt.figure(frameon=False)
-    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
-    ax = plt.Axes(fig, [0., 0., 1., 1.])
+    fig.set_size_inches(float(data.shape[1]) / data.shape[0], 1)
+    ax = plt.Axes(fig, [0.0, 0.0, 1.0, 1.0])
     ax.set_axis_off()
     fig.add_axes(ax)
 
@@ -59,7 +59,7 @@ def mplfigcontour(data, outfile=None, as_bytes=False):
         return outfile
     if as_bytes:
         IObytes = BytesIO()
-        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
+        plt.savefig(IObytes, format="png", dpi=data.shape[0], transparent=True)
         IObytes.seek(0)
         base64_jpgData = base64.b64encode(IObytes.read())
         return base64_jpgData.decode("ascii")
@@ -73,31 +73,42 @@ def load_and_reorient(filename):
 
 
 def reshape3D(data, n=256):
-    return np.pad(data, (
-        (
-            (n-data.shape[0]) // 2,
-            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
-        ),
+    return np.pad(
+        data,
         (
-            (n-data.shape[1]) // 2,
-            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
+            (
+                (n - data.shape[0]) // 2,
+                ((n - data.shape[0]) + (data.shape[0] % 2 > 0)) // 2,
+            ),
+            (
+                (n - data.shape[1]) // 2,
+                ((n - data.shape[1]) + (data.shape[1] % 2 > 0)) // 2,
+            ),
+            (0, 0),
         ),
-        (0, 0)
-    ), "constant", constant_values=(0, 0))
+        "constant",
+        constant_values=(0, 0),
+    )
 
 
 def reshape4D(data, n=256):
-    return np.pad(data, (
+    return np.pad(
+        data,
         (
-            (n-data.shape[0]) // 2,
-            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
+            (
+                (n - data.shape[0]) // 2,
+                ((n - data.shape[0]) + (data.shape[0] % 2 > 0)) // 2,
+            ),
+            (
+                (n - data.shape[1]) // 2,
+                ((n - data.shape[1]) + (data.shape[1] % 2 > 0)) // 2,
+            ),
+            (0, 0),
+            (0, 0),
         ),
-        (
-            (n-data.shape[1]) // 2,
-            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
-        ),
-        (0, 0), (0, 0)
-    ), "constant", constant_values=(0, 0))
+        "constant",
+        constant_values=(0, 0),
+    )
 
 
 def get_middle_slices(data, slice_direction):
@@ -117,7 +128,7 @@ def get_middle_slices(data, slice_direction):
 
 def nearest_square(limit):
     answer = 0
-    while (answer+1)**2 < limit:
+    while (answer + 1) ** 2 < limit:
         answer += 1
     if (answer ** 2) == limit:
         return answer
@@ -128,17 +139,17 @@ def nearest_square(limit):
 def create_sprite_from_tiles(tile, out_file=None, as_bytes=False):
     num_slices = tile.shape[-1]
     N = nearest_square(num_slices)
-    M = int(np.ceil(num_slices/N))
+    M = int(np.ceil(num_slices / N))
     # tile is square, so just make a big arr
     pix = tile.shape[0]
 
     if len(tile.shape) == 3:
-        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0]))
+        mosaic = np.zeros((N * tile.shape[0], M * tile.shape[0]))
     else:
-        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0], tile.shape[-2]))
+        mosaic = np.zeros((N * tile.shape[0], M * tile.shape[0], tile.shape[-2]))
 
     mosaic[:] = np.nan
-    helper = np.arange(N*M).reshape((N, M))
+    helper = np.arange(N * M).reshape((N, M))
 
     for t in range(num_slices):
         x, y = np.nonzero(helper == t)
@@ -171,13 +182,13 @@ def createSprite4D(dwi_file):
     dwi = load_and_reorient(dwi_file)[:, :, :, 1:]
 
     # create tiles from center slice on each orientation
-    for orient in ['sag', 'ax', 'cor']:
+    for orient in ["sag", "ax", "cor"]:
         tile = get_middle_slices(dwi, orient)
 
         # create sprite images for each
         results = create_sprite_from_tiles(tile, as_bytes=True)
-        results['img_type'] = '4dsprite'
-        results['orientation'] = orient
+        results["img_type"] = "4dsprite"
+        results["orientation"] = orient
         output.append(results)
 
     return output
@@ -194,45 +205,50 @@ def createB0_ColorFA_Mask_Sprites(b0_file, colorFA_file, mask_file):
     b0 = reshape3D(b0, N)
     _, mask = median_otsu(b0)
     outb0 = create_sprite_from_tiles(b0, as_bytes=True)
-    outb0['img_type'] = 'brainsprite'
+    outb0["img_type"] = "brainsprite"
 
     # make a colorFA sprite, masked by b0
     Q = reshape4D(colorfa, N)
     Q[np.logical_not(mask)] = np.nan
-    Q = np.moveaxis(Q,  -2, -1)
+    Q = np.moveaxis(Q, -2, -1)
     outcolorFA = create_sprite_from_tiles(Q, as_bytes=True)
-    outcolorFA['img_type'] = 'brainsprite'
+    outcolorFA["img_type"] = "brainsprite"
 
     # make an anat mask contour sprite
     outmask = create_sprite_from_tiles(reshape3D(anat_mask, N))
     img = mplfigcontour(outmask.pop("mosaic"), as_bytes=True)
-    outmask['img'] = img
+    outmask["img"] = img
 
     return outb0, outcolorFA, outmask
 
 
-def create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
-                       color_fa_file, anat_mask_file,
-                       outlier_indices,
-                       eddy_qc_file,
-                       outpath=op.abspath('./report.json')):
+def create_report_json(
+    dwi_corrected_file,
+    eddy_rms,
+    eddy_report,
+    color_fa_file,
+    anat_mask_file,
+    outlier_indices,
+    eddy_qc_file,
+    outpath=op.abspath("./report.json"),
+):
 
     report = {}
-    report['dwi_corrected'] = createSprite4D(dwi_corrected_file)
+    report["dwi_corrected"] = createSprite4D(dwi_corrected_file)
 
-    b0, colorFA, mask = createB0_ColorFA_Mask_Sprites(dwi_corrected_file,
-                                                      color_fa_file,
-                                                      anat_mask_file)
-    report['b0'] = b0
-    report['colorFA'] = colorFA
-    report['anat_mask'] = mask
-    report['outlier_volumes'] = outlier_indices.tolist()
+    b0, colorFA, mask = createB0_ColorFA_Mask_Sprites(
+        dwi_corrected_file, color_fa_file, anat_mask_file
+    )
+    report["b0"] = b0
+    report["colorFA"] = colorFA
+    report["anat_mask"] = mask
+    report["outlier_volumes"] = outlier_indices.tolist()
 
-    with open(eddy_report, 'r') as f:
-        report['eddy_report'] = f.readlines()
+    with open(eddy_report, "r") as f:
+        report["eddy_report"] = f.readlines()
 
-    report['eddy_params'] = np.genfromtxt(eddy_rms).tolist()
+    report["eddy_params"] = np.genfromtxt(eddy_rms).tolist()
     eddy_qc = load_json(eddy_qc_file)
-    report['eddy_quad'] = eddy_qc
+    report["eddy_quad"] = eddy_qc
     save_json(outpath, report)
     return outpath
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 089c86d0..3de8e7c3 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -6,8 +6,9 @@
 from nipype.pipeline import engine as pe
 from .dwi import init_dwi_preproc_wf
 
+
 def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
-    dmriprep_wf = pe.Workflow(name='dmriprep_wf')
+    dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = work_dir
 
     for subject_id in subject_list:
@@ -15,12 +16,13 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
         single_subject_wf = init_single_subject_wf(
             layout=layout,
             subject_id=subject_id,
-            name='single_subject_' + subject_id + '_wf',
+            name="single_subject_" + subject_id + "_wf",
             work_dir=work_dir,
-            output_dir=output_dir)
+            output_dir=output_dir,
+        )
 
-        single_subject_wf.config['execution']['crashdump_dir'] = (
-            os.path.join(output_dir, 'dmriprep', 'sub-' + subject_id, 'log')
+        single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
+            output_dir, "dmriprep", "sub-" + subject_id, "log"
         )
 
         for node in single_subject_wf._get_all_nodes():
@@ -36,20 +38,21 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
 
     subject_data = collect_data(layout, subject_id)[0]
 
-    if not subject_data['dwi']:
-        raise Exception("No dwi images found for participant {}. "
-                        "All workflows require dwi images".format(subject_id))
+    if not subject_data["dwi"]:
+        raise Exception(
+            "No dwi images found for participant {}. "
+            "All workflows require dwi images".format(subject_id)
+        )
 
     subject_wf = pe.Workflow(name=name)
 
-    for dwi_file in subject_data['dwi']:
-        dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file,
-                                             layout=layout)
+    for dwi_file in subject_data["dwi"]:
+        dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file, layout=layout)
         dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(work_dir), subject_id)
         entities = layout.parse_file_entities(dwi_file)
-        session_id = entities['session']
+        session_id = entities["session"]
 
-        inputspec = dwi_preproc_wf.get_node('inputnode')
+        inputspec = dwi_preproc_wf.get_node("inputnode")
         inputspec.inputs.subject_id = subject_id
         inputspec.inputs.dwi_file = dwi_file
         inputspec.inputs.metadata = layout.get_metadata(dwi_file)
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index de4fef1c..7d3e37b2 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -43,13 +43,13 @@ def init_dwi_preproc_wf(dwi_file, layout):
 
     outputnode = pe.Node(
         niu.IdentityInterface(fields=["out_file", "out_mask", "out_bvec"]),
-        name="outputnode"
+        name="outputnode",
     )
 
     # name noise and out_file using fname_presuffix
     denoise = pe.Node(
         mrtrix3.DWIDenoise(noise="noise.nii.gz", out_file="denoised.nii.gz"),
-        name="denoise"
+        name="denoise",
     )
 
     # name unring using fname_presuffix
@@ -159,7 +159,7 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     # dilate mask
     bet_dwi0 = pe.Node(fsl.BET(frac=0.3, mask=True, robust=True), name="bet_dwi_pre")
 
-    #mrtrix3.MaskFilter
+    # mrtrix3.MaskFilter
 
     ecc = pe.Node(
         fsl.Eddy(repol=True, cnr_maps=True, residuals=True, method="jac"),
@@ -230,8 +230,8 @@ def get_b0_mask_fn(b0_file):
                 eddy_quad,
                 [
                     (("out_corrected", get_path), "base_name"),
-                    (("out_corrected", get_qc_path), "output_dir")
-                ]
+                    (("out_corrected", get_qc_path), "output_dir"),
+                ],
             ),
             (inputnode, eddy_quad, [("bval_file", "bval_file")]),
             (ecc, eddy_quad, [("out_rotated_bvecs", "bvec_file")]),
@@ -240,7 +240,7 @@ def get_b0_mask_fn(b0_file):
             (acqp, eddy_quad, [("out_file", "param_file")]),
             (ecc, outputnode, [("out_corrected", "out_file")]),
             (b0mask_node, outputnode, [("mask_file", "out_mask")]),
-            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")])
+            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
         ]
     )
 

From 9586fed57a5009491e8b2469b7ce2f91a64efb6b Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Mon, 17 Jun 2019 15:25:32 -0400
Subject: [PATCH 012/156] Added Datasink output workflow

---
 dmriprep/workflows/base.py              | 26 ++++++++++++++--
 dmriprep/workflows/datasink/__init__.py |  3 ++
 dmriprep/workflows/datasink/base.py     | 40 +++++++++++++++++++++++++
 dmriprep/workflows/dwi/base.py          |  4 +--
 4 files changed, 68 insertions(+), 5 deletions(-)
 create mode 100644 dmriprep/workflows/datasink/__init__.py
 create mode 100644 dmriprep/workflows/datasink/base.py

diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 089c86d0..b307da07 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -5,6 +5,7 @@
 
 from nipype.pipeline import engine as pe
 from .dwi import init_dwi_preproc_wf
+from .datasink import init_output_wf
 
 def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
     dmriprep_wf = pe.Workflow(name='dmriprep_wf')
@@ -43,11 +44,15 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
     subject_wf = pe.Workflow(name=name)
 
     for dwi_file in subject_data['dwi']:
+        entities = layout.parse_file_entities(dwi_file)
+        session_id = entities['session']
         dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file,
                                              layout=layout)
+        datasink_wf = init_output_wf(subject=subject_id,
+                                    session=session_id,
+                                    output_folder=output_dir)
+
         dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(work_dir), subject_id)
-        entities = layout.parse_file_entities(dwi_file)
-        session_id = entities['session']
 
         inputspec = dwi_preproc_wf.get_node('inputnode')
         inputspec.inputs.subject_id = subject_id
@@ -57,6 +62,21 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
         inputspec.inputs.bval_file = layout.get_bval(dwi_file)
         inputspec.inputs.out_dir = os.path.abspath(output_dir)
 
-        subject_wf.add_nodes([dwi_preproc_wf])
+        ds_inputspec = datasink_wf.get_node('inputnode')
+        ds_inputspec.inputs.subject = subject_id
+        ds_inputspec.inputs.session = session_id
+        ds_inputspec.inputs.output_folder = output_dir
+
+        wf_name = "sub_" + subject_id + "_ses_" + session_id + "_preproc_wf"
+        full_wf = pe.Workflow(name=wf_name)
+
+        full_wf.connect(
+            [
+            (dwi_preproc_wf, datasink_wf, [('fsl_eddy.out_corrected', 'inputnode.out_file'),
+                                            ('fsl_eddy.out_rotated_bvecs', 'inputnode.out_bvec'),
+                                            ('getB0Mask.mask_file', 'inputnode.out_mask')])
+            ]
+            )
+        subject_wf.add_nodes([full_wf])
 
     return subject_wf
diff --git a/dmriprep/workflows/datasink/__init__.py b/dmriprep/workflows/datasink/__init__.py
new file mode 100644
index 00000000..6fdf35eb
--- /dev/null
+++ b/dmriprep/workflows/datasink/__init__.py
@@ -0,0 +1,3 @@
+#!/usr/bin/env python
+
+from .base import init_output_wf
diff --git a/dmriprep/workflows/datasink/base.py b/dmriprep/workflows/datasink/base.py
new file mode 100644
index 00000000..530b6ba6
--- /dev/null
+++ b/dmriprep/workflows/datasink/base.py
@@ -0,0 +1,40 @@
+#!/usr/bin/env python
+
+def init_output_wf(subject, session, output_folder):
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import (freesurfer as fs, fsl, mrtrix3, io as nio, \
+                                   utility as niu)
+    from nipype import logging
+
+    op_wf = pe.Workflow(name="output_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=[
+        'subject',
+        'session',
+        'out_file',
+        'out_mask',
+        'out_bvec',
+        'output_folder']),
+        name="inputnode")
+
+    def build_path(output_folder, subject, session):
+        import os.path as op
+        return op.join(output_folder, "sub-" + subject, "ses-" + session, "dwi")
+
+    concat = pe.Node(niu.Function(input_names=["output_folder", "subject", "session"], output_names=["built_folder"], function=build_path), name="build_path")
+
+    datasink = pe.Node(nio.DataSink(), name="datasink")
+
+    op_wf.connect(
+        [(inputnode, concat, [('subject', 'subject'),
+                            ('session', 'session'),
+                            ('output_folder', 'output_folder')]),
+         (concat, datasink, [('built_folder', 'base_directory')]),
+         (inputnode, datasink, [('out_file', '@result.@dwi'),
+                             ('out_bvec', '@result.@bvec'),
+                             ('out_mask', '@result.@mask')])
+         ]
+         )
+
+
+    return op_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index de4fef1c..d55f2a8f 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -43,13 +43,13 @@ def init_dwi_preproc_wf(dwi_file, layout):
 
     outputnode = pe.Node(
         niu.IdentityInterface(fields=["out_file", "out_mask", "out_bvec"]),
-        name="outputnode"
+        name="outputnode",
     )
 
     # name noise and out_file using fname_presuffix
     denoise = pe.Node(
         mrtrix3.DWIDenoise(noise="noise.nii.gz", out_file="denoised.nii.gz"),
-        name="denoise"
+        name="denoise",
     )
 
     # name unring using fname_presuffix

From 347e68db5d088c291521b9e47942d2e02bf0b420 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 15:45:41 -0400
Subject: [PATCH 013/156] [ENH] use pybids instead of collect_data

---
 dmriprep/utils.py          | 55 --------------------------------------
 dmriprep/workflows/base.py | 40 ++++++++++++++++-----------
 2 files changed, 25 insertions(+), 70 deletions(-)

diff --git a/dmriprep/utils.py b/dmriprep/utils.py
index 58799bc8..abda5f3c 100644
--- a/dmriprep/utils.py
+++ b/dmriprep/utils.py
@@ -170,58 +170,3 @@ def collect_participants(
         warnings.warn(exc.msg, BIDSWarning)
 
     return found_label
-
-
-def collect_data(bids_dir, participant_label, task=None, echo=None, bids_validate=True):
-    """
-    Uses pybids to retrieve the input data for a given participant
-    >>> bids_root, _ = collect_data(str(datadir / 'ds054'), '100185',
-    ...                             bids_validate=False)
-    >>> bids_root['fmap']  # doctest: +ELLIPSIS
-    ['.../ds054/sub-100185/fmap/sub-100185_magnitude1.nii.gz', \
-'.../ds054/sub-100185/fmap/sub-100185_magnitude2.nii.gz', \
-'.../ds054/sub-100185/fmap/sub-100185_phasediff.nii.gz']
-    >>> bids_root['bold']  # doctest: +ELLIPSIS
-    ['.../ds054/sub-100185/func/sub-100185_task-machinegame_run-01_bold.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-02_bold.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-03_bold.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-04_bold.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-05_bold.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-06_bold.nii.gz']
-    >>> bids_root['sbref']  # doctest: +ELLIPSIS
-    ['.../ds054/sub-100185/func/sub-100185_task-machinegame_run-01_sbref.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-02_sbref.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-03_sbref.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-04_sbref.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-05_sbref.nii.gz', \
-'.../ds054/sub-100185/func/sub-100185_task-machinegame_run-06_sbref.nii.gz']
-    >>> bids_root['t1w']  # doctest: +ELLIPSIS
-    ['.../ds054/sub-100185/anat/sub-100185_T1w.nii.gz']
-    >>> bids_root['t2w']  # doctest: +ELLIPSIS
-    []
-    """
-    if isinstance(bids_dir, BIDSLayout):
-        layout = bids_dir
-    else:
-        layout = BIDSLayout(str(bids_dir), validate=bids_validate)
-
-    queries = {
-        "fmap": {"datatype": "fmap"},
-        "t2w": {"datatype": "anat", "suffix": "T2w"},
-        "t1w": {"datatype": "anat", "suffix": "T1w"},
-        "dwi": {"datatype": "dwi", "suffix": "dwi"},
-    }
-
-    subj_data = {
-        dtype: sorted(
-            layout.get(
-                return_type="file",
-                subject=participant_label,
-                extensions=["nii", "nii.gz"],
-                **query
-            )
-        )
-        for dtype, query in queries.items()
-    }
-
-    return subj_data, layout
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index df774b4e..b6f84550 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -35,11 +35,16 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
 
 
 def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
-    from ..utils import collect_data
 
-    subject_data = collect_data(layout, subject_id)[0]
+    dwi_files = layout.get(
+        subject=subject_id,
+        datatype="dwi",
+        suffix="dwi",
+        extensions=[".nii", ".nii.gz"],
+        return_type="filename",
+    )
 
-    if not subject_data["dwi"]:
+    if not dwi_files:
         raise Exception(
             "No dwi images found for participant {}. "
             "All workflows require dwi images".format(subject_id)
@@ -47,14 +52,13 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
 
     subject_wf = pe.Workflow(name=name)
 
-    for dwi_file in subject_data['dwi']:
+    for dwi_file in dwi_files:
         entities = layout.parse_file_entities(dwi_file)
-        session_id = entities['session']
-        dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file,
-                                             layout=layout)
-        datasink_wf = init_output_wf(subject=subject_id,
-                                    session=session_id,
-                                    output_folder=output_dir)
+        session_id = entities["session"]
+        dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file, layout=layout)
+        datasink_wf = init_output_wf(
+            subject=subject_id, session=session_id, output_folder=output_dir
+        )
 
         dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(work_dir), subject_id)
         entities = layout.parse_file_entities(dwi_file)
@@ -68,7 +72,7 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
         inputspec.inputs.bval_file = layout.get_bval(dwi_file)
         inputspec.inputs.out_dir = os.path.abspath(output_dir)
 
-        ds_inputspec = datasink_wf.get_node('inputnode')
+        ds_inputspec = datasink_wf.get_node("inputnode")
         ds_inputspec.inputs.subject = subject_id
         ds_inputspec.inputs.session = session_id
         ds_inputspec.inputs.output_folder = output_dir
@@ -78,11 +82,17 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
 
         full_wf.connect(
             [
-            (dwi_preproc_wf, datasink_wf, [('fsl_eddy.out_corrected', 'inputnode.out_file'),
-                                            ('fsl_eddy.out_rotated_bvecs', 'inputnode.out_bvec'),
-                                            ('getB0Mask.mask_file', 'inputnode.out_mask')])
+                (
+                    dwi_preproc_wf,
+                    datasink_wf,
+                    [
+                        ("fsl_eddy.out_corrected", "inputnode.out_file"),
+                        ("fsl_eddy.out_rotated_bvecs", "inputnode.out_bvec"),
+                        ("getB0Mask.mask_file", "inputnode.out_mask"),
+                    ],
+                )
             ]
-            )
+        )
         subject_wf.add_nodes([full_wf])
 
     return subject_wf

From 992c0aa2df1c696f248ff95accde7fc5686d5503 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 17:00:20 -0400
Subject: [PATCH 014/156] [REF] remove run module after refactor

---
 dmriprep/run.py | 855 ------------------------------------------------
 1 file changed, 855 deletions(-)
 delete mode 100644 dmriprep/run.py

diff --git a/dmriprep/run.py b/dmriprep/run.py
deleted file mode 100644
index 9ac70d8b..00000000
--- a/dmriprep/run.py
+++ /dev/null
@@ -1,855 +0,0 @@
-import os
-import os.path as op
-from shutil import copyfile
-
-
-def run_dmriprep(dwi_file, bvec_file, bval_file,
-                 subjects_dir, working_dir, out_dir):
-
-    """
-    Runs dmriprep for acquisitions with just one PE direction.
-
-    """
-    from glob import glob
-    import nibabel as nib
-    import nipype.interfaces.freesurfer as fs
-    import nipype.interfaces.fsl as fsl
-    import nipype.interfaces.io as nio
-    import nipype.interfaces.utility as niu
-    import nipype.pipeline.engine as pe
-    import numpy as np
-    from nipype.algorithms.rapidart import ArtifactDetect
-    from nipype.interfaces.dipy import DTI
-    from nipype.interfaces.fsl.utils import AvScale
-    from nipype.utils.filemanip import fname_presuffix
-    from nipype.workflows.dmri.fsl.epi import create_dmri_preprocessing
-
-    wf = create_dmri_preprocessing(name='dmriprep',
-                                   use_fieldmap=False,
-                                   fieldmap_registration=False)
-    wf.inputs.inputnode.ref_num = 0
-    wf.inputs.inputnode.in_file = dwi_file
-    wf.inputs.inputnode.in_bvec = bvec_file
-
-    dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
-    bids_sub_name = dwi_fname.split("_")[0]
-    assert bids_sub_name.startswith("sub-")
-
-    # inputnode = wf.get_node("inputnode")
-    outputspec = wf.get_node("outputnode")
-
-    # QC: FLIRT translation and rotation parameters
-    flirt = wf.get_node("motion_correct.coregistration")
-    # flirt.inputs.save_mats = True
-
-    get_tensor = pe.Node(DTI(), name="dipy_tensor")
-    wf.connect(outputspec, "dmri_corrected", get_tensor, "in_file")
-    # wf.connect(inputspec2,"bvals", get_tensor, "in_bval")
-    get_tensor.inputs.in_bval = bval_file
-    wf.connect(outputspec, "bvec_rotated", get_tensor, "in_bvec")
-
-    scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
-    scale_tensor.inputs.operation = 'mul'
-    scale_tensor.inputs.operand_value = 1000
-    wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-    wf.connect(outputspec, "dmri_corrected", fslroi, "in_file")
-
-    bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="fsl",
-                                  out_fsl_file=True, subjects_dir=subjects_dir,
-                                  epi_mask=True), name="bbreg")
-    # wf.connect(inputspec2,"fsid", bbreg,"subject_id")
-    bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
-    wf.connect(fslroi, "roi_file", bbreg, "source_file")
-
-    voltransform = pe.Node(fs.ApplyVolTransform(inverse=True),
-                           iterfield=['source_file', 'reg_file'],
-                           name='transform')
-    voltransform.inputs.subjects_dir = subjects_dir
-
-    vt2 = voltransform.clone("transform_aparcaseg")
-    vt2.inputs.interp = "nearest"
-
-    def binarize_aparc(aparc_aseg):
-        img = nib.load(aparc_aseg)
-        data, aff = img.get_data(), img.affine
-        outfile = fname_presuffix(
-            aparc_aseg, suffix="bin.nii.gz",
-            newpath=op.abspath("."), use_ext=False
-        )
-        nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
-        return outfile
-
-    # wf.connect(inputspec2, "mask_nii", voltransform, "target_file")
-    create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
-                                       output_names=["outfile"],
-                                       function=binarize_aparc),
-                          name="bin_aparc")
-
-    def get_aparc_aseg(subjects_dir, sub):
-        return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
-
-    create_mask.inputs.aparc_aseg = get_aparc_aseg(subjects_dir, 'freesurfer')
-    wf.connect(create_mask, "outfile", voltransform, "target_file")
-
-    wf.connect(fslroi, "roi_file", voltransform, "source_file")
-    wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
-
-    vt2.inputs.target_file = get_aparc_aseg(subjects_dir, 'freesurfer')
-    # wf.connect(inputspec2, "aparc_aseg", vt2, "target_file")
-    wf.connect(fslroi, "roi_file", vt2, "source_file")
-    wf.connect(bbreg, "out_reg_file", vt2, "reg_file")
-
-    # AK (2017): THIS NODE MIGHT NOT BE NECESSARY
-    # AK (2018) doesn't know why she said that above..
-    threshold2 = pe.Node(fs.Binarize(min=0.5, out_type='nii.gz', dilate=1),
-                         iterfield=['in_file'],
-                         name='threshold2')
-    wf.connect(voltransform, "transformed_file", threshold2, "in_file")
-
-    # wf.connect(getmotion, "motion_params", datasink, "dti.@motparams")
-
-    def get_flirt_motion_parameters(flirt_out_mats):
-        def get_params(A):
-            """This is a copy of spm's spm_imatrix where
-            we already know the rotations and translations matrix,
-            shears and zooms (as outputs from fsl FLIRT/avscale)
-            Let A = the 4x4 rotation and translation matrix
-            R = [          c5*c6,           c5*s6, s5]
-                [-s4*s5*c6-c4*s6, -s4*s5*s6+c4*c6, s4*c5]
-                [-c4*s5*c6+s4*s6, -c4*s5*s6-s4*c6, c4*c5]
-            """
-            def rang(b):
-                a = min(max(b, -1), 1)
-                return a
-            Ry = np.arcsin(A[0, 2])
-            # Rx = np.arcsin(A[1, 2] / np.cos(Ry))
-            # Rz = np.arccos(A[0, 1] / np.sin(Ry))
-
-            if (abs(Ry)-np.pi/2)**2 < 1e-9:
-                Rx = 0
-                Rz = np.arctan2(-rang(A[1, 0]), rang(-A[2, 0]/A[0, 2]))
-            else:
-                c = np.cos(Ry)
-                Rx = np.arctan2(rang(A[1, 2]/c), rang(A[2, 2]/c))
-                Rz = np.arctan2(rang(A[0, 1]/c), rang(A[0, 0]/c))
-
-            rotations = [Rx, Ry, Rz]
-            translations = [A[0, 3], A[1, 3], A[2, 3]]
-
-            return rotations, translations
-
-        motion_params = open(op.abspath('motion_parameters.par'), 'w')
-        for mat in flirt_out_mats:
-            res = AvScale(mat_file=mat).run()
-            A = np.asarray(res.outputs.rotation_translation_matrix)
-            rotations, translations = get_params(A)
-            for i in rotations+translations:
-                motion_params.write('%f ' % i)
-            motion_params.write('\n')
-        motion_params.close()
-        motion_params = op.abspath('motion_parameters.par')
-        return motion_params
-
-    getmotion = pe.Node(
-        niu.Function(input_names=["flirt_out_mats"],
-                     output_names=["motion_params"],
-                     function=get_flirt_motion_parameters),
-        name="get_motion_parameters",
-        iterfield="flirt_out_mats"
-    )
-
-    wf.connect(flirt, "out_matrix_file", getmotion, "flirt_out_mats")
-
-    art = pe.Node(interface=ArtifactDetect(), name="art")
-    art.inputs.use_differences = [True, True]
-    art.inputs.save_plot = False
-    art.inputs.use_norm = True
-    art.inputs.norm_threshold = 3
-    art.inputs.zintensity_threshold = 9
-    art.inputs.mask_type = 'spm_global'
-    art.inputs.parameter_source = 'FSL'
-
-    wf.connect(getmotion, "motion_params", art, "realignment_parameters")
-    wf.connect(outputspec, "dmri_corrected", art, "realigned_files")
-
-    datasink = pe.Node(nio.DataSink(), name="sinker")
-    datasink.inputs.base_directory = out_dir
-    datasink.inputs.substitutions = [
-        ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
-        ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
-        ("motion_parameters.par", dwi_fname + ".motion.txt"),
-        ("_rotated.bvec", ".bvec"),
-        ("aparc+aseg_warped_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
-        ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
-        ("vol0000_flirt_merged", dwi_fname),
-        ("_roi_bbreg_freesurfer", "_register"),
-        ("aparc+asegbin_warped_thresh", dwi_fname.replace("_dwi", "_mask")),
-        ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(bids_sub_name))
-    ]
-
-    wf.connect(art, "statistic_files", datasink, "dmriprep.art.@artstat")
-    wf.connect(art, "outlier_files", datasink, "dmriprep.art.@artoutlier")
-    wf.connect(outputspec, "dmri_corrected", datasink, "dmriprep.dwi.@corrected")
-    wf.connect(outputspec, "bvec_rotated", datasink, "dmriprep.dwi.@rotated")
-    wf.connect(getmotion, "motion_params", datasink, "dmriprep.art.@motion")
-
-    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
-    wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
-    wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
-    wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
-    wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
-    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
-
-    wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
-    wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
-    wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
-    wf.connect(threshold2, "binary_file", datasink, "dmriprep.anat.@mask")
-    # wf.connect(vt2, "transformed_file", datasink, "dwi.@aparc_aseg")
-
-    convert = pe.Node(fs.MRIConvert(out_type="niigz"), name="convert2nii")
-    wf.connect(vt2, "transformed_file", convert, "in_file")
-    wf.connect(convert, "out_file", datasink, "dmriprep.anat.@aparc_aseg")
-
-    wf.base_dir = working_dir
-    wf.run()
-
-    copyfile(bval_file, op.join(
-        out_dir, bids_sub_name, "dmriprep", "dwi",
-        op.split(bval_file)[1]
-    ))
-
-    dmri_corrected = glob(op.join(out_dir, '*/dmriprep/dwi', '*.nii.gz'))[0]
-    bvec_rotated = glob(op.join(out_dir, '*/dmriprep/dwi', '*.bvec'))[0]
-    bval_file = glob(op.join(out_dir, '*/dmriprep/dwi', '*.bval'))[0]
-    art_file = glob(op.join(out_dir, '*/dmriprep/art', '*.art.json'))[0]
-    motion_file = glob(op.join(out_dir, '*/dmriprep/art', '*.motion.txt'))[0]
-    outlier_file = glob(op.join(out_dir, '*/dmriprep/art', '*.outliers.txt'))[0]
-    return dmri_corrected, bvec_rotated, art_file, motion_file, outlier_file
-
-
-def run_dmriprep_pe(subject_id, dwi_file, dwi_file_AP, dwi_file_PA,
-                    bvec_file, bval_file,
-                    subjects_dir, working_dir, out_dir,
-                    eddy_niter=5, slice_outlier_threshold=0.02):
-    """Run the dmriprep (phase encoded) nipype workflow
-
-    Parameters
-    ----------
-    subject_id : str
-        Subject identifier
-
-    dwi_file : str
-        Path to dwi nifti file
-
-    dwi_file_AP : str
-        Path to EPI nifti file (anterior-posterior)
-
-    dwi_file_PA : str
-        Path to EPI nifti file (posterior-anterior)
-
-    bvec_file : str
-        Path to bvec file
-
-    bval_file : str
-        Path to bval file
-
-    subjects_dir : str
-        Path to subject's freesurfer directory
-
-    working_dir : str
-        Path to workflow working directory
-
-    out_dir : str
-        Path to output directory
-
-    eddy_niter : int, default=5
-        Fixed number of eddy iterations. See
-        https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide#A--niter
-
-    slice_outlier_threshold: int or float
-        Number of allowed outlier slices per volume. If this is exceeded the
-        volume is dropped from analysis. If `slice_outlier_threshold` is an
-        int, it is treated as number of allowed outlier slices. If
-        `slice_outlier_threshold` is a float between 0 and 1 (exclusive), it is
-        treated the fraction of allowed outlier slices.
-
-    Notes
-    -----
-    This assumes that there are scans with phase-encode directions AP/PA for
-    topup.
-
-    See Also
-    --------
-    dmriprep.run.get_dmriprep_pe_workflow
-    """
-    wf = get_dmriprep_pe_workflow()
-    wf.base_dir = op.join(op.abspath(working_dir), subject_id)
-
-    inputspec = wf.get_node('inputspec')
-    inputspec.inputs.subject_id = subject_id
-    inputspec.inputs.dwi_file = dwi_file
-    inputspec.inputs.dwi_file_ap = dwi_file_AP
-    inputspec.inputs.dwi_file_pa = dwi_file_PA
-    inputspec.inputs.bvec_file = bvec_file
-    inputspec.inputs.bval_file = bval_file
-    inputspec.inputs.subjects_dir = subjects_dir
-    inputspec.inputs.out_dir = op.abspath(out_dir)
-    inputspec.inputs.eddy_niter = eddy_niter
-    inputspec.inputs.slice_outlier_threshold = slice_outlier_threshold
-
-    # write the graph (this is saved to the working dir)
-    wf.write_graph()
-    wf.config['execution']['remove_unnecessary_outputs'] = False
-    wf.config['execution']['keep_inputs'] = True
-    wf.run()
-
-
-def get_dmriprep_pe_workflow():
-    """Return the dmriprep (phase encoded) nipype workflow
-
-    Parameters
-    ----------
-
-
-    Returns
-    -------
-    wf : nipype.pipeline.engine.Workflow
-        Nipype dmriprep workflow
-
-    Notes
-    -----
-    This assumes that there are scans with phase-encode directions AP/PA for
-    topup.
-    """
-    import nipype.interfaces.freesurfer as fs
-    import nipype.interfaces.fsl as fsl
-    import nipype.interfaces.io as nio
-    import nipype.interfaces.utility as niu
-    import nipype.pipeline.engine as pe
-    from nipype.interfaces.dipy import DTI
-    from nipype.workflows.dmri.fsl.artifacts import all_fsl_pipeline
-
-    inputspec = pe.Node(niu.IdentityInterface(fields=[
-        'subject_id',
-        'dwi_file',
-        'dwi_file_ap',
-        'dwi_file_pa',
-        'bvec_file',
-        'bval_file',
-        'subjects_dir',
-        'out_dir',
-        'eddy_niter',
-        'slice_outlier_threshold'
-    ]), name="inputspec")
-
-    # AK: watch out, other datasets might be encoded LR
-    epi_ap = {'echospacing': 66.5e-3, 'enc_dir': 'y-'}
-    epi_pa = {'echospacing': 66.5e-3, 'enc_dir': 'y'}
-    prep = all_fsl_pipeline(epi_params=epi_ap, altepi_params=epi_pa)
-
-    # initialize an overall workflow
-    wf = pe.Workflow(name="dmriprep")
-
-    wf.connect(inputspec, 'dwi_file', prep, 'inputnode.in_file')
-    wf.connect(inputspec, 'bvec_file', prep, 'inputnode.in_bvec')
-    wf.connect(inputspec, 'bval_file', prep, 'inputnode.in_bval')
-    wf.connect(inputspec, 'eddy_niter', prep, 'fsl_eddy.niter')
-
-    eddy = prep.get_node('fsl_eddy')
-    eddy.inputs.repol = True
-    eddy.inputs.cnr_maps = True
-    eddy.inputs.residuals = True
-    import multiprocessing
-    eddy.inputs.num_threads = multiprocessing.cpu_count()
-    import numba.cuda
-    try:
-        if numba.cuda.gpus:
-            eddy.inputs.use_cuda = True
-    except:
-        eddy.inputs.use_cuda = False
-
-    topup = prep.get_node('peb_correction.topup')
-    topup.inputs.checksize = True
-
-    applytopup = prep.get_node('peb_correction.unwarp')
-    applytopup.inputs.checksize = True
-
-    eddy.inputs.checksize = True
-
-    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True, checksize=True), name="eddy_quad")
-    get_path = lambda x: x.split('.nii.gz')[0].split('_fix')[0]
-    get_qc_path = lambda x: x.split('.nii.gz')[0] + '.qc'
-    wf.connect(prep, ('fsl_eddy.out_corrected', get_path), eddy_quad, 'base_name')
-    wf.connect(inputspec, 'bval_file', eddy_quad, 'bval_file')
-    wf.connect(prep, 'Rotate_Bvec.out_file', eddy_quad, 'bvec_file')
-    wf.connect(prep, 'peb_correction.topup.out_field', eddy_quad, 'field')
-    wf.connect(prep, 'gen_index.out_file', eddy_quad, 'idx_file')
-    wf.connect(prep, 'peb_correction.topup.out_enc_file', eddy_quad, 'param_file')
-    wf.connect(prep, ('fsl_eddy.out_corrected', get_qc_path), eddy_quad, 'output_dir')
-
-    # need a mask file for eddy_quad. lets get it from the B0.
-    def get_b0_mask_fn(b0_file):
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        from dipy.segment.mask import median_otsu
-        import os
-
-        mask_file = fname_presuffix(b0_file, suffix="_mask", newpath=os.path.abspath('.'))
-        img = nib.load(b0_file)
-        data, aff = img.get_data(), img.affine
-        _, mask = median_otsu(data, 2, 1)
-        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
-        return mask_file
-
-
-    def id_outliers_fn(outlier_report, threshold, dwi_file):
-        """Get list of scans that exceed threshold for number of outliers
-
-        Parameters
-        ----------
-        outlier_report: string
-            Path to the fsl_eddy outlier report
-
-        threshold: int or float
-            If threshold is an int, it is treated as number of allowed outlier
-            slices. If threshold is a float between 0 and 1 (exclusive), it is
-            treated the fraction of allowed outlier slices before we drop the
-            whole volume.
-
-        dwi_file: string
-            Path to nii dwi file to determine total number of slices
-
-        Returns
-        -------
-        drop_scans: numpy.ndarray
-            List of scan indices to drop
-        """
-        import nibabel as nib
-        import numpy as np
-        import os.path as op
-        import parse
-
-        with open(op.abspath(outlier_report), 'r') as fp:
-            lines = fp.readlines()
-
-        p = parse.compile(
-            "Slice {slice:d} in scan {scan:d} is an outlier with "
-            "mean {mean_sd:f} standard deviations off, and mean "
-            "squared {mean_sq_sd:f} standard deviations off."
-        )
-
-        outliers = [p.parse(l).named for l in lines]
-        scans = {d['scan'] for d in outliers}
-
-        def num_outliers(scan, outliers):
-            return len([d for d in outliers if d['scan'] == scan])
-
-        if 0 < threshold < 1:
-            img = nib.load(dwi_file)
-            try:
-                threshold *= img.header.get_n_slices()
-            except nib.spatialimages.HeaderDataError:
-                print('WARNING. We are not sure which dimension has the '
-                      'slices in this image. So we are using the 3rd dim.', img.shape)
-                threshold *= img.shape[2]
-
-        drop_scans = np.array([
-            s for s in scans
-            if num_outliers(s, outliers) > threshold
-        ])
-
-        outpath = op.abspath("dropped_scans.txt")
-        np.savetxt(outpath, drop_scans, fmt="%d")
-
-        return drop_scans, outpath
-
-    id_outliers_node = pe.Node(niu.Function(
-        input_names=["outlier_report", "threshold", "dwi_file"],
-        output_names=["drop_scans", "outpath"],
-        function=id_outliers_fn),
-        name="id_outliers_node"
-    )
-
-    wf.connect(inputspec, 'dwi_file', id_outliers_node, 'dwi_file')
-    wf.connect(inputspec, 'slice_outlier_threshold', id_outliers_node, 'threshold')
-
-    wf.connect(prep, "fsl_eddy.out_outlier_report",
-               id_outliers_node, "outlier_report")
-
-    list_merge = pe.Node(niu.Merge(numinputs=2), name="list_merge")
-    wf.connect(inputspec, 'dwi_file_ap', list_merge, 'in1')
-    wf.connect(inputspec, 'dwi_file_pa', list_merge, 'in2')
-
-    merge = pe.Node(fsl.Merge(dimension='t'), name="mergeAPPA")
-    wf.connect(merge, 'merged_file', prep, 'inputnode.alt_file')
-    wf.connect(list_merge, 'out', merge, 'in_files')
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-    wf.connect(prep, "outputnode.out_file", fslroi, "in_file")
-
-    b0mask_node = pe.Node(niu.Function(input_names=['b0_file'],
-                                       output_names=['mask_file'],
-                                       function=get_b0_mask_fn),
-                          name="getB0Mask")
-    wf.connect(fslroi, 'roi_file', b0mask_node, 'b0_file')
-    wf.connect(b0mask_node, 'mask_file', eddy_quad, 'mask_file')
-
-    bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="coreg",
-                                  out_fsl_file=True,
-                                  # subjects_dir=subjects_dir,
-                                  epi_mask=True),
-                    name="bbreg")
-    bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
-    wf.connect(fslroi, "roi_file", bbreg, "source_file")
-    wf.connect(inputspec, 'subjects_dir', bbreg, 'subjects_dir')
-
-    def drop_outliers_fn(in_file, in_bval, in_bvec, drop_scans):
-        """Drop outlier volumes from dwi file
-
-        Parameters
-        ----------
-        in_file: string
-            Path to nii dwi file to drop outlier volumes from
-
-        in_bval: string
-            Path to bval file to drop outlier volumes from
-
-        in_bvec: string
-            Path to bvec file to drop outlier volumes from
-
-        drop_scans: numpy.ndarray
-            List of scan indices to drop
-
-        Returns
-        -------
-        out_file: string
-            Path to "thinned" output dwi file
-
-        out_bval: string
-            Path to "thinned" output bval file
-
-        out_bvec: string
-            Path to "thinned" output bvec file
-        """
-        import nibabel as nib
-        import numpy as np
-        import os.path as op
-        from nipype.utils.filemanip import fname_presuffix
-
-        img = nib.load(op.abspath(in_file))
-        img_data = img.get_data()
-        img_data_thinned = np.delete(img_data,
-                                     drop_scans,
-                                     axis=3)
-        if isinstance(img, nib.nifti1.Nifti1Image):
-            img_thinned = nib.Nifti1Image(img_data_thinned.astype(np.float64),
-                                          img.affine,
-                                          header=img.header)
-        elif isinstance(img, nib.nifti2.Nifti2Image):
-            img_thinned = nib.Nifti2Image(img_data_thinned.astype(np.float64),
-                                          img.affine,
-                                          header=img.header)
-        else:
-            raise TypeError("in_file does not contain Nifti image datatype.")
-
-        out_file = fname_presuffix(in_file, suffix="_thinned", newpath=op.abspath('.'))
-        nib.save(img_thinned, op.abspath(out_file))
-
-        bval = np.loadtxt(in_bval)
-        bval_thinned = np.delete(bval, drop_scans, axis=0)
-        out_bval = fname_presuffix(in_bval, suffix="_thinned", newpath=op.abspath('.'))
-        np.savetxt(out_bval, bval_thinned)
-
-        bvec = np.loadtxt(in_bvec)
-        bvec_thinned = np.delete(bvec, drop_scans, axis=1)
-        out_bvec = fname_presuffix(in_bvec, suffix="_thinned", newpath=op.abspath('.'))
-        np.savetxt(out_bvec, bvec_thinned)
-
-        return out_file, out_bval, out_bvec
-
-    drop_outliers_node = pe.Node(niu.Function(
-        input_names=["in_file", "in_bval", "in_bvec", "drop_scans"],
-        output_names=["out_file", "out_bval", "out_bvec"],
-        function=drop_outliers_fn),
-        name="drop_outliers_node"
-    )
-
-    # Align the output of drop_outliers_node & also the eddy corrected version to the anatomical space
-    # without resampling. and then for aparc+aseg & the mask, resample to the larger voxel size of the B0 image from
-    # fslroi. Also we need to apply the transformation to both bvecs (dropped & eddied) and I think we can just load
-    # the affine from bbreg (sio.loadmat) and np.dot(coord, aff) for each coord in bvec
-
-    def get_orig(subjects_dir, sub='freesurfer'):
-        import os.path as op
-        return op.join(subjects_dir, sub, "mri", "orig.mgz")
-
-    def get_aparc_aseg(subjects_dir, sub='freesurfer'):
-        import os.path as op
-        return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
-
-    # transform the dropped volume version to anat space w/ out resampling
-    voltransform = pe.Node(fs.ApplyVolTransform(no_resample=True),
-                           iterfield=['source_file', 'reg_file'],
-                           name='transform')
-
-    wf.connect(inputspec, 'subjects_dir', voltransform, 'subjects_dir')
-    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), voltransform, 'target_file')
-    wf.connect(prep, "outputnode.out_file", voltransform, "source_file")
-    wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
-
-    def apply_transform_to_bvecs_fn(bvec_file, reg_mat_file):
-        import numpy as np
-        import nipype.utils.filemanip as fm
-        import os
-
-        aff = np.loadtxt(reg_mat_file)
-        bvecs = np.loadtxt(bvec_file)
-        bvec_trans = []
-        for bvec in bvecs.T:
-            coord = np.hstack((bvec, [1]))
-            coord_trans = np.dot(coord, aff)[:-1]
-            bvec_trans.append(coord_trans)
-        out_bvec = fm.fname_presuffix(bvec_file, suffix="anat_space", newpath=os.path.abspath('.'))
-        np.savetxt(out_bvec, np.asarray(bvec_trans).T)
-        return out_bvec
-
-    apply_transform_to_bvecs_node = pe.Node(niu.Function(input_names=['bvec_file', 'reg_mat_file'],
-                                                         output_names=['out_bvec'],
-                                                         function=apply_transform_to_bvecs_fn),
-                                            name="applyTransformToBvecs")
-    wf.connect(bbreg, 'out_fsl_file', apply_transform_to_bvecs_node, 'reg_mat_file')
-    wf.connect(prep, 'outputnode.out_bvec', apply_transform_to_bvecs_node, 'bvec_file')
-
-    # ok cool, now lets do the thresholding.
-
-    wf.connect(id_outliers_node, "drop_scans", drop_outliers_node, "drop_scans")
-    wf.connect(voltransform, "transformed_file", drop_outliers_node, "in_file")
-    wf.connect(inputspec, 'bval_file', drop_outliers_node, 'in_bval')
-    wf.connect(apply_transform_to_bvecs_node, "out_bvec", drop_outliers_node, "in_bvec")
-
-    # lets compute the tensor on both the dropped volume scan
-    # and also the original, eddy corrected one.
-    get_tensor = pe.Node(DTI(), name="dipy_tensor")
-    wf.connect(drop_outliers_node, "out_file", get_tensor, "in_file")
-    wf.connect(drop_outliers_node, "out_bval", get_tensor, "in_bval")
-    wf.connect(drop_outliers_node, "out_bvec", get_tensor, "in_bvec")
-
-    get_tensor_eddy = get_tensor.clone('dipy_tensor_eddy')
-    wf.connect(voltransform, 'transformed_file', get_tensor_eddy, "in_file")
-    wf.connect(apply_transform_to_bvecs_node, 'out_bvec', get_tensor_eddy, "in_bvec")
-    wf.connect(inputspec, 'bval_file', get_tensor_eddy, 'in_bval')
-
-    # AK: What is this, some vestigal node from a previous workflow?
-    # I'm not sure why the tensor gets scaled. but i guess lets scale it for
-    # both the dropped & eddy corrected versions.
-    scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
-    scale_tensor.inputs.operation = 'mul'
-    scale_tensor.inputs.operand_value = 1000
-    wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
-
-    scale_tensor_eddy = scale_tensor.clone('scale_tensor_eddy')
-    wf.connect(get_tensor_eddy, 'out_file', scale_tensor_eddy, 'in_file')
-
-    # OK now that anatomical stuff (segmentation & mask)
-    # We'll need:
-    # 1. the B0 image in anat space (fslroi the 'transformed file' of voltransform
-    # 2. the aparc aseg resampled-like the B0 image (mri_convert)
-    # 3. the resample aparc_aseg binarized to be the mask image.
-
-    def binarize_aparc(aparc_aseg):
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        import os.path as op
-
-        img = nib.load(aparc_aseg)
-        data, aff = img.get_data(), img.affine
-        outfile = fname_presuffix(
-            aparc_aseg, suffix="bin.nii.gz",
-            newpath=op.abspath("."), use_ext=False
-        )
-        nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
-        return outfile
-
-    create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
-                                       output_names=["outfile"],
-                                       function=binarize_aparc),
-                          name="bin_aparc")
-
-    get_b0_anat = fslroi.clone('get_b0_anat')
-    wf.connect(voltransform, 'transformed_file', get_b0_anat, 'in_file')
-
-    # reslice the anat-space aparc+aseg to the DWI resolution
-    reslice_to_dwi = pe.Node(fs.MRIConvert(resample_type="nearest"),
-                             name="reslice_to_dwi")
-    wf.connect(get_b0_anat, 'roi_file', reslice_to_dwi, 'reslice_like')
-    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), reslice_to_dwi, 'in_file')
-
-    # also reslice the orig i suppose
-    reslice_orig_to_dwi = reslice_to_dwi.clone('resliceT1wToDwi')
-    wf.connect(inputspec, ('subjects_dir', get_orig), reslice_orig_to_dwi, 'in_file')
-    # reslice_orig_to_dwi.inputs.in_file = get_orig(subjects_dir, 'freesurfer')
-    reslice_orig_to_dwi.inputs.out_type = 'niigz'
-    wf.connect(get_b0_anat, 'roi_file', reslice_orig_to_dwi, 'reslice_like')
-
-    # we assume the freesurfer is the output of BIDS
-    # so the freesurfer output is in /path/to/derivatives/sub-whatever/freesurfer
-    # which means the subject_dir is /path/to/derivatives/sub-whatever
-    # reslice_to_dwi.inputs.in_file = get_aparc_aseg(subjects_dir, 'freesurfer')
-
-    # now we have a nice aparc+aseg still in anat space but resliced like the dwi file
-    # lets create a mask file from it.
-
-    wf.connect(reslice_to_dwi, 'out_file', create_mask, 'aparc_aseg')
-
-    # save all the things
-    datasink = pe.Node(nio.DataSink(), name="sinker")
-    wf.connect(inputspec, 'out_dir', datasink, 'base_directory')
-    wf.connect(inputspec, 'subject_id', datasink, 'container')
-
-    wf.connect(drop_outliers_node, "out_file", datasink, "dmriprep.dwi.@thinned")
-    wf.connect(drop_outliers_node, "out_bval", datasink, "dmriprep.dwi.@bval_thinned")
-    wf.connect(drop_outliers_node, "out_bvec", datasink, "dmriprep.dwi.@bvec_thinned")
-
-    # eddy corrected files
-    wf.connect(prep, "outputnode.out_file", datasink, "dmriprep.dwi_eddy.@corrected")
-    wf.connect(prep, "outputnode.out_bvec", datasink, "dmriprep.dwi_eddy.@rotated")
-    wf.connect(inputspec, 'bval_file', datasink, 'dmriprep.dwi_eddy.@bval')
-
-    # all the eddy stuff except the corrected files
-    wf.connect(prep, "fsl_eddy.out_movement_rms",
-               datasink, "dmriprep.qc.@eddyparamsrms")
-    wf.connect(prep, "fsl_eddy.out_outlier_report",
-               datasink, "dmriprep.qc.@eddyparamsreport")
-    wf.connect(prep, "fsl_eddy.out_restricted_movement_rms",
-               datasink, "dmriprep.qc.@eddyparamsrestrictrms")
-    wf.connect(prep, "fsl_eddy.out_shell_alignment_parameters",
-               datasink, "dmriprep.qc.@eddyparamsshellalign")
-    wf.connect(prep, "fsl_eddy.out_parameter",
-               datasink, "dmriprep.qc.@eddyparams")
-    wf.connect(prep, "fsl_eddy.out_cnr_maps",
-               datasink, "dmriprep.qc.@eddycndr")
-    wf.connect(prep, "fsl_eddy.out_residuals",
-               datasink, "dmriprep.qc.@eddyresid")
-
-    # the file that told us which volumes to drop
-    wf.connect(id_outliers_node, "outpath", datasink, "dmriprep.qc.@droppedscans")
-
-    # the tensors of the dropped volumes dwi
-    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
-    wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
-    wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
-    wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
-    wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
-    wf.connect(get_tensor, "color_fa_file", datasink, "dmriprep.dti.@colorfa")
-    wf.connect(scale_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
-
-    # the tensors of the eddied volumes dwi
-    wf.connect(get_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@tensor")
-    wf.connect(get_tensor_eddy, "fa_file", datasink, "dmriprep.dti_eddy.@fa")
-    wf.connect(get_tensor_eddy, "md_file", datasink, "dmriprep.dti_eddy.@md")
-    wf.connect(get_tensor_eddy, "ad_file", datasink, "dmriprep.dti_eddy.@ad")
-    wf.connect(get_tensor_eddy, "rd_file", datasink, "dmriprep.dti_eddy.@rd")
-    wf.connect(get_tensor_eddy, "color_fa_file", datasink, "dmriprep.dti_eddy.@colorfa")
-    wf.connect(scale_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@scaled_tensor")
-
-    # all the eddy_quad stuff
-    wf.connect(eddy_quad, 'qc_json', datasink, "dmriprep.qc.@eddyquad_json")
-    wf.connect(eddy_quad, 'qc_pdf', datasink, "dmriprep.qc.@eddyquad_pdf")
-    wf.connect(eddy_quad, 'avg_b_png', datasink, "dmriprep.qc.@eddyquad_bpng")
-    wf.connect(eddy_quad, 'avg_b0_pe_png',
-               datasink, "dmriprep.qc.@eddyquad_b0png")
-    wf.connect(eddy_quad, 'cnr_png', datasink, "dmriprep.qc.@eddyquad_cnr")
-    wf.connect(eddy_quad, 'vdm_png', datasink, "dmriprep.qc.@eddyquad_vdm")
-    wf.connect(eddy_quad, 'residuals', datasink, 'dmriprep.qc.@eddyquad_resid')
-
-    # anatomical registration stuff
-    wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
-    wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
-    wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
-
-    # anatomical files resliced
-    wf.connect(reslice_to_dwi, 'out_file', datasink, 'dmriprep.anat.@segmentation')
-    wf.connect(create_mask, 'outfile', datasink, 'dmriprep.anat.@mask')
-    wf.connect(reslice_orig_to_dwi, 'out_file', datasink, 'dmriprep.anat.@T1w')
-
-    def report_fn(dwi_corrected_file, eddy_rms, eddy_report,
-                  color_fa_file, anat_mask_file, outlier_indices,
-                  eddy_qc_file):
-        from dmriprep.qc import create_report_json
-
-        report = create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
-                                    color_fa_file, anat_mask_file, outlier_indices,
-                                    eddy_qc_file)
-        return report
-
-    report_node = pe.Node(niu.Function(
-        input_names=['dwi_corrected_file', 'eddy_rms',
-                     'eddy_report', 'color_fa_file',
-                     'anat_mask_file', 'outlier_indices', 'eddy_qc_file'],
-        output_names=['report'],
-        function=report_fn
-    ), name="reportJSON")
-
-    # for the report, lets show the eddy corrected (full volume) image
-    wf.connect(voltransform, "transformed_file", report_node, 'dwi_corrected_file')
-    wf.connect(eddy_quad, 'qc_json', report_node, 'eddy_qc_file')
-
-    # add the rms movement output from eddy
-    wf.connect(prep, "fsl_eddy.out_movement_rms", report_node, 'eddy_rms')
-    wf.connect(prep, "fsl_eddy.out_outlier_report", report_node, 'eddy_report')
-    wf.connect(id_outliers_node, 'drop_scans', report_node, 'outlier_indices')
-
-    # the mask file to check our registration, and the colorFA file go in the report
-    wf.connect(create_mask, "outfile", report_node, 'anat_mask_file')
-    wf.connect(get_tensor, "color_fa_file", report_node, 'color_fa_file')
-
-    # save that report!
-    wf.connect(report_node, 'report', datasink, 'dmriprep.report.@report')
-
-    # this part is done last, to get the filenames *just right*
-    # its super annoying.
-    def name_files_nicely(dwi_file, subject_id):
-        import os.path as op
-
-        dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
-        substitutions = [
-            ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
-            ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
-            ("motion_parameters.par", dwi_fname + ".motion.txt"),
-            ("_rotated.bvec", ".bvec"),
-            ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
-            ("vol0000_flirt_merged", dwi_fname),
-            ("_roi_bbreg_freesurfer", "_register"),
-            ("dwi/eddy_corrected", "dwi/%s" % dwi_fname),
-            ("dti/eddy_corrected", "dti/%s" % dwi_fname.replace("_dwi", "")),
-            ("reg/eddy_corrected", "reg/%s" % dwi_fname.replace("_dwi", "")),
-            ("aparc+aseg_outbin", dwi_fname.replace("_dwi", "_mask")),
-            ("aparc+aseg_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
-            ("art.eddy_corrected_outliers", dwi_fname.replace("dwi", "outliers")),
-            ("color_fa", "colorfa"),
-            ("orig_out", dwi_fname.replace("_dwi", "_T1w")),
-            ("stats.eddy_corrected", dwi_fname.replace("dwi", "artStats")),
-            ("eddy_corrected.eddy_parameters", dwi_fname + ".eddy_parameters"),
-            ("qc/eddy_corrected", "qc/" + dwi_fname),
-            ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(subject_id)),
-            ("_rotatedanat_space_thinned", ""),
-            ("_thinned", ""),
-            ("eddy_corrected", dwi_fname),
-            ("_warped", ""),
-            ("_maths", "_scaled"),
-            ("dropped_scans", dwi_fname.replace("_dwi", "_dwi_dropped_scans")),
-            ("report.json", dwi_fname.replace("_dwi", "_dwi_report.json"))
-        ]
-        return substitutions
-
-    node_name_files_nicely = pe.Node(niu.Function(input_names=['dwi_file', 'subject_id'],
-                                                  output_names=['substitutions'],
-                                                  function=name_files_nicely),
-                                     name="name_files_nicely")
-    wf.connect(inputspec, 'dwi_file', node_name_files_nicely, 'dwi_file')
-    wf.connect(inputspec, 'subject_id', node_name_files_nicely, 'subject_id')
-    wf.connect(node_name_files_nicely, 'substitutions', datasink, 'substitutions')
-
-    return wf

From d753b3b9160dfdfacd81a7f7528d5f2f611b4215 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 17:01:40 -0400
Subject: [PATCH 015/156] [ENH] Salim's fieldmap workflow

---
 dmriprep/workflows/fieldmap/__init__.py | 48 +++++++++++++++++++++
 dmriprep/workflows/fieldmap/fmap.py     | 55 +++++++++++++++++++++++++
 2 files changed, 103 insertions(+)
 create mode 100644 dmriprep/workflows/fieldmap/__init__.py
 create mode 100644 dmriprep/workflows/fieldmap/fmap.py

diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
new file mode 100644
index 00000000..a225866a
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -0,0 +1,48 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
+# vi: set ft=python sts=4 ts=4 sw=4 et:
+"""
+.. _sdc_estimation :
+Fieldmap estimation and unwarping workflows
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. automodule:: fmriprep.workflows.fieldmap.base
+    :members:
+    :undoc-members:
+    :show-inheritance:
+.. automodule:: fmriprep.workflows.fieldmap.fmap
+    :members:
+    :undoc-members:
+    :show-inheritance:
+.. automodule:: fmriprep.workflows.fieldmap.phdiff
+    :members:
+    :undoc-members:
+    :show-inheritance:
+.. automodule:: fmriprep.workflows.fieldmap.pepolar
+    :members:
+    :undoc-members:
+    :show-inheritance:
+.. automodule:: fmriprep.workflows.fieldmap.syn
+    :members:
+    :undoc-members:
+    :show-inheritance:
+.. automodule:: fmriprep.workflows.fieldmap.unwarp
+    :members:
+    :undoc-members:
+    :show-inheritance:
+"""
+
+from .base import init_fmap_wf
+
+# from .base import init_sdc_wf
+# from .unwarp import init_sdc_unwarp_wf, init_fmap_unwarp_report_wf
+# from .pepolar import init_pepolar_unwarp_wf
+# from .syn import init_syn_sdc_wf
+#
+# __all__ = [
+#     "init_sdc_wf",
+#     "init_sdc_unwarp_wf",
+#     "init_fmap_unwarp_report_wf",
+#     "init_pepolar_unwarp_wf",
+#     "init_syn_sdc_wf",
+# ]
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
new file mode 100644
index 00000000..cd4995d8
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
+# vi: set ft=python sts=4 ts=4 sw=4 et:
+"""
+.. _sdc_direct_b0 :
+Direct B0 mapping sequences
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+When the fieldmap is directly measured with a prescribed sequence (such as
+:abbr:`SE (spiral echo)`), we only need to calculate the corresponding B-Spline
+coefficients to adapt the fieldmap to the TOPUP tool.
+This procedure is described with more detail `here <https://cni.stanford.edu/\
+wiki/GE_Processing#Fieldmaps>`__.
+This corresponds to the section 8.9.3 --fieldmap image (and one magnitude image)--
+of the BIDS specification.
+"""
+# from sdcflows.workflows.fmap import init_fmap_wf
+#
+# __all__ = ["init_fmap_wf"]
+
+
+def init_fmap_wf():
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import fsl, utility as niu
+    from nipype import logging
+
+    fmap_wf = pe.Workflow(name="fmap_prep_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["fieldmap", "magnitude", "b0_stripped"]),
+        name="inputnode",
+    )
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap"]), name="outputnode")
+
+    rad_to_hz = pe.Node(
+        fsl.BinaryMaths(operation="div", operand_value=6.28), name="radToHz"
+    )
+
+    mag_flirt = pe.Node(fsl.FLIRT(), name="magFlirt")
+
+    fmap_flirt = pe.Node(fsl.FLIRT(apply_xfm=True), name="fmapFlirt")
+
+    fmap_wf.connect(
+        [
+            (inputnode, rad_to_hz, [("fieldmap", "in_file")]),
+            (inputnode, mag_flirt, [("magnitude", "in_file")]),
+            (inputnode, mag_flirt, [("b0_stripped", "reference")]),
+            (rad_to_hz, fmap_flirt, [("out_file", "in_file")]),
+            (inputnode, fmap_flirt, [("b0_stripped", "reference")]),
+            (mag_flirt, fmap_flirt, [("out_matrix_file", "in_matrix_file")]),
+            (fmap_flirt, outputnode, [("out_file", "out_fmap")]),
+        ]
+    )
+
+    return fmap_wf

From d4b0aeaa6b0614a550e5e53be46c74508a4879eb Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 17:02:25 -0400
Subject: [PATCH 016/156] add fmap to main workflow

---
 dmriprep/workflows/dwi/base.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 7d3e37b2..1e579372 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,4 +1,5 @@
 #!/usr/bin/env python
+from .fieldmap import init_fmap_wf
 
 
 def init_dwi_preproc_wf(dwi_file, layout):
@@ -23,6 +24,15 @@ def init_dwi_preproc_wf(dwi_file, layout):
             fmap_key = fmap["suffix"]
         fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
 
+    if not fmaps:
+        raise Exception(
+            "No fieldmap images found for participant {}. "
+            "All workflows require fieldmap images".format(subject_id)
+        )
+
+    if fmaps[0]["suffix"] == "fieldmap":
+        fmap_wf = init_fmap_wf()
+
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
     inputnode = pe.Node(
@@ -241,6 +251,17 @@ def get_b0_mask_fn(b0_file):
             (ecc, outputnode, [("out_corrected", "out_file")]),
             (b0mask_node, outputnode, [("mask_file", "out_mask")]),
             (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
+            (
+                inputnode,
+                fmap_wf,
+                [
+                    ("fieldmap", "inputnode.fieldmap"),
+                    ("magnitude", "inputnode.magnitude"),
+                ],
+            ),
+            (bet_dwi0, fmap_wf, [("out_file", "inputnode.b0_stripped")]),
+            (fmap_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
+            (fmap_wf, eddy_quad, [(("outputnode.out_fmap", get_path), "field")]),
         ]
     )
 

From d2c41367d0eeeeb4838eb159c51e5f677d6ef23d Mon Sep 17 00:00:00 2001
From: Michael Joseph <mjoseph@hopper.camhres.ca>
Date: Mon, 17 Jun 2019 17:09:37 -0400
Subject: [PATCH 017/156] [FIX] remove run module from cli

---
 dmriprep/cli.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 2681c922..6542817b 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -8,7 +8,6 @@
 
 import click
 
-from . import run
 from . import utils
 from .data import get_dataset
 from .workflows.base import init_dmriprep_wf

From 964e7a7cd64ce073a71ca78e5e4f68fa300f77d1 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 17:32:37 -0400
Subject: [PATCH 018/156] [REF] move datasink to dwi workflow and remove run
 module

---
 dmriprep/__init__.py                                     | 1 -
 dmriprep/workflows/base.py                               | 3 +--
 dmriprep/workflows/datasink/__init__.py                  | 3 ---
 dmriprep/workflows/dwi/__init__.py                       | 2 +-
 dmriprep/workflows/{datasink/base.py => dwi/datasink.py} | 0
 tests/test_dmriprep.py                                   | 3 +--
 6 files changed, 3 insertions(+), 9 deletions(-)
 delete mode 100644 dmriprep/workflows/datasink/__init__.py
 rename dmriprep/workflows/{datasink/base.py => dwi/datasink.py} (100%)

diff --git a/dmriprep/__init__.py b/dmriprep/__init__.py
index e0d2b3df..d69154a1 100644
--- a/dmriprep/__init__.py
+++ b/dmriprep/__init__.py
@@ -18,7 +18,6 @@
 
 from . import data
 from . import qc
-from . import run
 
 module_logger = logging.getLogger(__name__)
 
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index b6f84550..4ee7508f 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -4,8 +4,7 @@
 from copy import deepcopy
 
 from nipype.pipeline import engine as pe
-from .dwi import init_dwi_preproc_wf
-from .datasink import init_output_wf
+from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
 def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
diff --git a/dmriprep/workflows/datasink/__init__.py b/dmriprep/workflows/datasink/__init__.py
deleted file mode 100644
index 6fdf35eb..00000000
--- a/dmriprep/workflows/datasink/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-#!/usr/bin/env python
-
-from .base import init_output_wf
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 4133e319..6fb392f3 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -1,3 +1,3 @@
 #!/usr/bin/env python
 
-from .base import init_dwi_preproc_wf
+from .base import init_dwi_preproc_wf, init_output_wf
diff --git a/dmriprep/workflows/datasink/base.py b/dmriprep/workflows/dwi/datasink.py
similarity index 100%
rename from dmriprep/workflows/datasink/base.py
rename to dmriprep/workflows/dwi/datasink.py
diff --git a/tests/test_dmriprep.py b/tests/test_dmriprep.py
index a1553c69..1786035f 100644
--- a/tests/test_dmriprep.py
+++ b/tests/test_dmriprep.py
@@ -7,7 +7,6 @@
 
 from click.testing import CliRunner
 
-from dmriprep import dmriprep
 from dmriprep import cli
 
 
@@ -32,7 +31,7 @@ def test_command_line_interface():
     runner = CliRunner()
     result = runner.invoke(cli.main)
     assert result.exit_code == 0
-    assert 'dmriprep.cli.main' in result.output
+    assert 'cli.main' in result.output
     help_result = runner.invoke(cli.main, ['--help'])
     assert help_result.exit_code == 0
     assert '--help  Show this message and exit.' in help_result.output

From 1ea9e36c8eb66dac435cb6d938255e0d0680a819 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 17:41:56 -0400
Subject: [PATCH 019/156] [FIX] fix bad imports

---
 dmriprep/workflows/dwi/__init__.py      |   3 +-
 dmriprep/workflows/dwi/base.py          |   2 +-
 dmriprep/workflows/dwi/report.py        | 448 ++++++++++++++++++++++++
 dmriprep/workflows/fieldmap/__init__.py |   2 +-
 4 files changed, 452 insertions(+), 3 deletions(-)
 create mode 100644 dmriprep/workflows/dwi/report.py

diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 6fb392f3..c8dbb344 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -1,3 +1,4 @@
 #!/usr/bin/env python
 
-from .base import init_dwi_preproc_wf, init_output_wf
+from .base import init_dwi_preproc_wf
+from .datasink import init_output_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 1e579372..b9481fb0 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-from .fieldmap import init_fmap_wf
+from ..fieldmap import init_fmap_wf
 
 
 def init_dwi_preproc_wf(dwi_file, layout):
diff --git a/dmriprep/workflows/dwi/report.py b/dmriprep/workflows/dwi/report.py
new file mode 100644
index 00000000..29579134
--- /dev/null
+++ b/dmriprep/workflows/dwi/report.py
@@ -0,0 +1,448 @@
+#!/usr/bin/env python
+
+
+def init_dwi_report_wf():
+
+    import nipype.interfaces.freesurfer as fs
+    import nipype.interfaces.fsl as fsl
+    import nipype.interfaces.io as nio
+    import nipype.interfaces.dipy as dipy
+    import nipype.interfaces.utility as niu
+    import nipype.pipeline.engine as pe
+
+    inputspec = pe.Node(niu.IdentityInterface(fields=[
+        'subject_id',
+        'dwi_file',
+        'dwi_file_ap',
+        'dwi_file_pa',
+        'bvec_file',
+        'bval_file',
+        'subjects_dir',
+        'out_dir',
+        'eddy_niter',
+        'slice_outlier_threshold'
+    ]), name="inputspec")
+
+    def id_outliers_fn(outlier_report, threshold, dwi_file):
+        """Get list of scans that exceed threshold for number of outliers
+        Parameters
+        ----------
+        outlier_report: string
+            Path to the fsl_eddy outlier report
+        threshold: int or float
+            If threshold is an int, it is treated as number of allowed outlier
+            slices. If threshold is a float between 0 and 1 (exclusive), it is
+            treated the fraction of allowed outlier slices before we drop the
+            whole volume.
+        dwi_file: string
+            Path to nii dwi file to determine total number of slices
+        Returns
+        -------
+        drop_scans: numpy.ndarray
+            List of scan indices to drop
+        """
+        import nibabel as nib
+        import numpy as np
+        import os.path as op
+        import parse
+
+        with open(op.abspath(outlier_report), 'r') as fp:
+            lines = fp.readlines()
+
+        p = parse.compile(
+            "Slice {slice:d} in scan {scan:d} is an outlier with "
+            "mean {mean_sd:f} standard deviations off, and mean "
+            "squared {mean_sq_sd:f} standard deviations off."
+        )
+
+        outliers = [p.parse(l).named for l in lines]
+        scans = {d['scan'] for d in outliers}
+
+        def num_outliers(scan, outliers):
+            return len([d for d in outliers if d['scan'] == scan])
+
+        if 0 < threshold < 1:
+            img = nib.load(dwi_file)
+            try:
+                threshold *= img.header.get_n_slices()
+            except nib.spatialimages.HeaderDataError:
+                print('WARNING. We are not sure which dimension has the '
+                      'slices in this image. So we are using the 3rd dim.', img.shape)
+                threshold *= img.shape[2]
+
+        drop_scans = np.array([
+            s for s in scans
+            if num_outliers(s, outliers) > threshold
+        ])
+
+        outpath = op.abspath("dropped_scans.txt")
+        np.savetxt(outpath, drop_scans, fmt="%d")
+
+        return drop_scans, outpath
+
+    id_outliers_node = pe.Node(niu.Function(
+        input_names=["outlier_report", "threshold", "dwi_file"],
+        output_names=["drop_scans", "outpath"],
+        function=id_outliers_fn),
+        name="id_outliers_node"
+    )
+
+    wf.connect(inputspec, 'dwi_file', id_outliers_node, 'dwi_file')
+    wf.connect(inputspec, 'slice_outlier_threshold', id_outliers_node, 'threshold')
+
+    wf.connect(prep, "fsl_eddy.out_outlier_report",
+               id_outliers_node, "outlier_report")
+
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
+    wf.connect(prep, "outputnode.out_file", fslroi, "in_file")
+
+    bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="coreg",
+                                  out_fsl_file=True,
+                                  # subjects_dir=subjects_dir,
+                                  epi_mask=True),
+                    name="bbreg")
+    bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
+    wf.connect(fslroi, "roi_file", bbreg, "source_file")
+    wf.connect(inputspec, 'subjects_dir', bbreg, 'subjects_dir')
+
+    def drop_outliers_fn(in_file, in_bval, in_bvec, drop_scans):
+        """Drop outlier volumes from dwi file
+        Parameters
+        ----------
+        in_file: string
+            Path to nii dwi file to drop outlier volumes from
+        in_bval: string
+            Path to bval file to drop outlier volumes from
+        in_bvec: string
+            Path to bvec file to drop outlier volumes from
+        drop_scans: numpy.ndarray
+            List of scan indices to drop
+        Returns
+        -------
+        out_file: string
+            Path to "thinned" output dwi file
+        out_bval: string
+            Path to "thinned" output bval file
+        out_bvec: string
+            Path to "thinned" output bvec file
+        """
+        import nibabel as nib
+        import numpy as np
+        import os.path as op
+        from nipype.utils.filemanip import fname_presuffix
+
+        img = nib.load(op.abspath(in_file))
+        img_data = img.get_data()
+        img_data_thinned = np.delete(img_data,
+                                     drop_scans,
+                                     axis=3)
+        if isinstance(img, nib.nifti1.Nifti1Image):
+            img_thinned = nib.Nifti1Image(img_data_thinned.astype(np.float64),
+                                          img.affine,
+                                          header=img.header)
+        elif isinstance(img, nib.nifti2.Nifti2Image):
+            img_thinned = nib.Nifti2Image(img_data_thinned.astype(np.float64),
+                                          img.affine,
+                                          header=img.header)
+        else:
+            raise TypeError("in_file does not contain Nifti image datatype.")
+
+        out_file = fname_presuffix(in_file, suffix="_thinned", newpath=op.abspath('.'))
+        nib.save(img_thinned, op.abspath(out_file))
+
+        bval = np.loadtxt(in_bval)
+        bval_thinned = np.delete(bval, drop_scans, axis=0)
+        out_bval = fname_presuffix(in_bval, suffix="_thinned", newpath=op.abspath('.'))
+        np.savetxt(out_bval, bval_thinned)
+
+        bvec = np.loadtxt(in_bvec)
+        bvec_thinned = np.delete(bvec, drop_scans, axis=1)
+        out_bvec = fname_presuffix(in_bvec, suffix="_thinned", newpath=op.abspath('.'))
+        np.savetxt(out_bvec, bvec_thinned)
+
+        return out_file, out_bval, out_bvec
+
+    drop_outliers_node = pe.Node(niu.Function(
+        input_names=["in_file", "in_bval", "in_bvec", "drop_scans"],
+        output_names=["out_file", "out_bval", "out_bvec"],
+        function=drop_outliers_fn),
+        name="drop_outliers_node"
+    )
+
+    # Align the output of drop_outliers_node & also the eddy corrected version to the anatomical space
+    # without resampling. and then for aparc+aseg & the mask, resample to the larger voxel size of the B0 image from
+    # fslroi. Also we need to apply the transformation to both bvecs (dropped & eddied) and I think we can just load
+    # the affine from bbreg (sio.loadmat) and np.dot(coord, aff) for each coord in bvec
+
+    def get_orig(subjects_dir, sub='freesurfer'):
+        import os.path as op
+        return op.join(subjects_dir, sub, "mri", "orig.mgz")
+
+    def get_aparc_aseg(subjects_dir, sub='freesurfer'):
+        import os.path as op
+        return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
+
+    # transform the dropped volume version to anat space w/ out resampling
+    voltransform = pe.Node(fs.ApplyVolTransform(no_resample=True),
+                           iterfield=['source_file', 'reg_file'],
+                           name='transform')
+
+    wf.connect(inputspec, 'subjects_dir', voltransform, 'subjects_dir')
+    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), voltransform, 'target_file')
+    wf.connect(prep, "outputnode.out_file", voltransform, "source_file")
+    wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
+
+    def apply_transform_to_bvecs_fn(bvec_file, reg_mat_file):
+        import numpy as np
+        import nipype.utils.filemanip as fm
+        import os
+
+        aff = np.loadtxt(reg_mat_file)
+        bvecs = np.loadtxt(bvec_file)
+        bvec_trans = []
+        for bvec in bvecs.T:
+            coord = np.hstack((bvec, [1]))
+            coord_trans = np.dot(coord, aff)[:-1]
+            bvec_trans.append(coord_trans)
+        out_bvec = fm.fname_presuffix(bvec_file, suffix="anat_space", newpath=os.path.abspath('.'))
+        np.savetxt(out_bvec, np.asarray(bvec_trans).T)
+        return out_bvec
+
+    apply_transform_to_bvecs_node = pe.Node(niu.Function(input_names=['bvec_file', 'reg_mat_file'],
+                                                         output_names=['out_bvec'],
+                                                         function=apply_transform_to_bvecs_fn),
+                                            name="applyTransformToBvecs")
+    wf.connect(bbreg, 'out_fsl_file', apply_transform_to_bvecs_node, 'reg_mat_file')
+    wf.connect(prep, 'outputnode.out_bvec', apply_transform_to_bvecs_node, 'bvec_file')
+
+    # ok cool, now lets do the thresholding.
+
+    wf.connect(id_outliers_node, "drop_scans", drop_outliers_node, "drop_scans")
+    wf.connect(voltransform, "transformed_file", drop_outliers_node, "in_file")
+    wf.connect(inputspec, 'bval_file', drop_outliers_node, 'in_bval')
+    wf.connect(apply_transform_to_bvecs_node, "out_bvec", drop_outliers_node, "in_bvec")
+
+    # lets compute the tensor on both the dropped volume scan
+    # and also the original, eddy corrected one.
+    get_tensor = pe.Node(dipy.DTI(), name="dipy_tensor")
+    wf.connect(drop_outliers_node, "out_file", get_tensor, "in_file")
+    wf.connect(drop_outliers_node, "out_bval", get_tensor, "in_bval")
+    wf.connect(drop_outliers_node, "out_bvec", get_tensor, "in_bvec")
+
+    get_tensor_eddy = get_tensor.clone('dipy_tensor_eddy')
+    wf.connect(voltransform, 'transformed_file', get_tensor_eddy, "in_file")
+    wf.connect(apply_transform_to_bvecs_node, 'out_bvec', get_tensor_eddy, "in_bvec")
+    wf.connect(inputspec, 'bval_file', get_tensor_eddy, 'in_bval')
+
+    # AK: What is this, some vestigal node from a previous workflow?
+    # I'm not sure why the tensor gets scaled. but i guess lets scale it for
+    # both the dropped & eddy corrected versions.
+    scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
+    scale_tensor.inputs.operation = 'mul'
+    scale_tensor.inputs.operand_value = 1000
+    wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
+
+    scale_tensor_eddy = scale_tensor.clone('scale_tensor_eddy')
+    wf.connect(get_tensor_eddy, 'out_file', scale_tensor_eddy, 'in_file')
+
+    # OK now that anatomical stuff (segmentation & mask)
+    # We'll need:
+    # 1. the B0 image in anat space (fslroi the 'transformed file' of voltransform
+    # 2. the aparc aseg resampled-like the B0 image (mri_convert)
+    # 3. the resample aparc_aseg binarized to be the mask image.
+
+    def binarize_aparc(aparc_aseg):
+        import nibabel as nib
+        from nipype.utils.filemanip import fname_presuffix
+        import os.path as op
+
+        img = nib.load(aparc_aseg)
+        data, aff = img.get_data(), img.affine
+        outfile = fname_presuffix(
+            aparc_aseg, suffix="bin.nii.gz",
+            newpath=op.abspath("."), use_ext=False
+        )
+        nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
+        return outfile
+
+    create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
+                                       output_names=["outfile"],
+                                       function=binarize_aparc),
+                          name="bin_aparc")
+
+    get_b0_anat = fslroi.clone('get_b0_anat')
+    wf.connect(voltransform, 'transformed_file', get_b0_anat, 'in_file')
+
+    # reslice the anat-space aparc+aseg to the DWI resolution
+    reslice_to_dwi = pe.Node(fs.MRIConvert(resample_type="nearest"),
+                             name="reslice_to_dwi")
+    wf.connect(get_b0_anat, 'roi_file', reslice_to_dwi, 'reslice_like')
+    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), reslice_to_dwi, 'in_file')
+
+    # also reslice the orig i suppose
+    reslice_orig_to_dwi = reslice_to_dwi.clone('resliceT1wToDwi')
+    wf.connect(inputspec, ('subjects_dir', get_orig), reslice_orig_to_dwi, 'in_file')
+    # reslice_orig_to_dwi.inputs.in_file = get_orig(subjects_dir, 'freesurfer')
+    reslice_orig_to_dwi.inputs.out_type = 'niigz'
+    wf.connect(get_b0_anat, 'roi_file', reslice_orig_to_dwi, 'reslice_like')
+
+    # we assume the freesurfer is the output of BIDS
+    # so the freesurfer output is in /path/to/derivatives/sub-whatever/freesurfer
+    # which means the subject_dir is /path/to/derivatives/sub-whatever
+    # reslice_to_dwi.inputs.in_file = get_aparc_aseg(subjects_dir, 'freesurfer')
+
+    # now we have a nice aparc+aseg still in anat space but resliced like the dwi file
+    # lets create a mask file from it.
+
+    wf.connect(reslice_to_dwi, 'out_file', create_mask, 'aparc_aseg')
+
+    # save all the things
+    datasink = pe.Node(nio.DataSink(), name="sinker")
+    wf.connect(inputspec, 'out_dir', datasink, 'base_directory')
+    wf.connect(inputspec, 'subject_id', datasink, 'container')
+
+    wf.connect(drop_outliers_node, "out_file", datasink, "dmriprep.dwi.@thinned")
+    wf.connect(drop_outliers_node, "out_bval", datasink, "dmriprep.dwi.@bval_thinned")
+    wf.connect(drop_outliers_node, "out_bvec", datasink, "dmriprep.dwi.@bvec_thinned")
+
+    # eddy corrected files
+    wf.connect(prep, "outputnode.out_file", datasink, "dmriprep.dwi_eddy.@corrected")
+    wf.connect(prep, "outputnode.out_bvec", datasink, "dmriprep.dwi_eddy.@rotated")
+    wf.connect(inputspec, 'bval_file', datasink, 'dmriprep.dwi_eddy.@bval')
+
+    # all the eddy stuff except the corrected files
+    wf.connect(prep, "fsl_eddy.out_movement_rms",
+               datasink, "dmriprep.qc.@eddyparamsrms")
+    wf.connect(prep, "fsl_eddy.out_outlier_report",
+               datasink, "dmriprep.qc.@eddyparamsreport")
+    wf.connect(prep, "fsl_eddy.out_restricted_movement_rms",
+               datasink, "dmriprep.qc.@eddyparamsrestrictrms")
+    wf.connect(prep, "fsl_eddy.out_shell_alignment_parameters",
+               datasink, "dmriprep.qc.@eddyparamsshellalign")
+    wf.connect(prep, "fsl_eddy.out_parameter",
+               datasink, "dmriprep.qc.@eddyparams")
+    wf.connect(prep, "fsl_eddy.out_cnr_maps",
+               datasink, "dmriprep.qc.@eddycndr")
+    wf.connect(prep, "fsl_eddy.out_residuals",
+               datasink, "dmriprep.qc.@eddyresid")
+
+    # the file that told us which volumes to drop
+    wf.connect(id_outliers_node, "outpath", datasink, "dmriprep.qc.@droppedscans")
+
+    # the tensors of the dropped volumes dwi
+    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
+    wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
+    wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
+    wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
+    wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
+    wf.connect(get_tensor, "color_fa_file", datasink, "dmriprep.dti.@colorfa")
+    wf.connect(scale_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
+
+    # the tensors of the eddied volumes dwi
+    wf.connect(get_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@tensor")
+    wf.connect(get_tensor_eddy, "fa_file", datasink, "dmriprep.dti_eddy.@fa")
+    wf.connect(get_tensor_eddy, "md_file", datasink, "dmriprep.dti_eddy.@md")
+    wf.connect(get_tensor_eddy, "ad_file", datasink, "dmriprep.dti_eddy.@ad")
+    wf.connect(get_tensor_eddy, "rd_file", datasink, "dmriprep.dti_eddy.@rd")
+    wf.connect(get_tensor_eddy, "color_fa_file", datasink, "dmriprep.dti_eddy.@colorfa")
+    wf.connect(scale_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@scaled_tensor")
+
+    # all the eddy_quad stuff
+    wf.connect(eddy_quad, 'qc_json', datasink, "dmriprep.qc.@eddyquad_json")
+    wf.connect(eddy_quad, 'qc_pdf', datasink, "dmriprep.qc.@eddyquad_pdf")
+    wf.connect(eddy_quad, 'avg_b_png', datasink, "dmriprep.qc.@eddyquad_bpng")
+    wf.connect(eddy_quad, 'avg_b0_pe_png',
+               datasink, "dmriprep.qc.@eddyquad_b0png")
+    wf.connect(eddy_quad, 'cnr_png', datasink, "dmriprep.qc.@eddyquad_cnr")
+    wf.connect(eddy_quad, 'vdm_png', datasink, "dmriprep.qc.@eddyquad_vdm")
+    wf.connect(eddy_quad, 'residuals', datasink, 'dmriprep.qc.@eddyquad_resid')
+
+    # anatomical registration stuff
+    wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
+    wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
+    wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
+
+    # anatomical files resliced
+    wf.connect(reslice_to_dwi, 'out_file', datasink, 'dmriprep.anat.@segmentation')
+    wf.connect(create_mask, 'outfile', datasink, 'dmriprep.anat.@mask')
+    wf.connect(reslice_orig_to_dwi, 'out_file', datasink, 'dmriprep.anat.@T1w')
+
+    def report_fn(dwi_corrected_file, eddy_rms, eddy_report,
+                  color_fa_file, anat_mask_file, outlier_indices,
+                  eddy_qc_file):
+        from dmriprep.qc import create_report_json
+
+        report = create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
+                                    color_fa_file, anat_mask_file, outlier_indices,
+                                    eddy_qc_file)
+        return report
+
+    report_node = pe.Node(niu.Function(
+        input_names=['dwi_corrected_file', 'eddy_rms',
+                     'eddy_report', 'color_fa_file',
+                     'anat_mask_file', 'outlier_indices', 'eddy_qc_file'],
+        output_names=['report'],
+        function=report_fn
+    ), name="reportJSON")
+
+    # for the report, lets show the eddy corrected (full volume) image
+    wf.connect(voltransform, "transformed_file", report_node, 'dwi_corrected_file')
+    wf.connect(eddy_quad, 'qc_json', report_node, 'eddy_qc_file')
+
+    # add the rms movement output from eddy
+    wf.connect(prep, "fsl_eddy.out_movement_rms", report_node, 'eddy_rms')
+    wf.connect(prep, "fsl_eddy.out_outlier_report", report_node, 'eddy_report')
+    wf.connect(id_outliers_node, 'drop_scans', report_node, 'outlier_indices')
+
+    # the mask file to check our registration, and the colorFA file go in the report
+    wf.connect(create_mask, "outfile", report_node, 'anat_mask_file')
+    wf.connect(get_tensor, "color_fa_file", report_node, 'color_fa_file')
+
+    # save that report!
+    wf.connect(report_node, 'report', datasink, 'dmriprep.report.@report')
+
+    # this part is done last, to get the filenames *just right*
+    # its super annoying.
+    def name_files_nicely(dwi_file, subject_id):
+        import os.path as op
+
+        dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
+        substitutions = [
+            ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
+            ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
+            ("motion_parameters.par", dwi_fname + ".motion.txt"),
+            ("_rotated.bvec", ".bvec"),
+            ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
+            ("vol0000_flirt_merged", dwi_fname),
+            ("_roi_bbreg_freesurfer", "_register"),
+            ("dwi/eddy_corrected", "dwi/%s" % dwi_fname),
+            ("dti/eddy_corrected", "dti/%s" % dwi_fname.replace("_dwi", "")),
+            ("reg/eddy_corrected", "reg/%s" % dwi_fname.replace("_dwi", "")),
+            ("aparc+aseg_outbin", dwi_fname.replace("_dwi", "_mask")),
+            ("aparc+aseg_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
+            ("art.eddy_corrected_outliers", dwi_fname.replace("dwi", "outliers")),
+            ("color_fa", "colorfa"),
+            ("orig_out", dwi_fname.replace("_dwi", "_T1w")),
+            ("stats.eddy_corrected", dwi_fname.replace("dwi", "artStats")),
+            ("eddy_corrected.eddy_parameters", dwi_fname + ".eddy_parameters"),
+            ("qc/eddy_corrected", "qc/" + dwi_fname),
+            ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(subject_id)),
+            ("_rotatedanat_space_thinned", ""),
+            ("_thinned", ""),
+            ("eddy_corrected", dwi_fname),
+            ("_warped", ""),
+            ("_maths", "_scaled"),
+            ("dropped_scans", dwi_fname.replace("_dwi", "_dwi_dropped_scans")),
+            ("report.json", dwi_fname.replace("_dwi", "_dwi_report.json"))
+        ]
+        return substitutions
+
+    node_name_files_nicely = pe.Node(niu.Function(input_names=['dwi_file', 'subject_id'],
+                                                  output_names=['substitutions'],
+                                                  function=name_files_nicely),
+                                     name="name_files_nicely")
+    wf.connect(inputspec, 'dwi_file', node_name_files_nicely, 'dwi_file')
+    wf.connect(inputspec, 'subject_id', node_name_files_nicely, 'subject_id')
+    wf.connect(node_name_files_nicely, 'substitutions', datasink, 'substitutions')
+
+    return wf
diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index a225866a..8c1b7432 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -32,7 +32,7 @@
     :show-inheritance:
 """
 
-from .base import init_fmap_wf
+from .fmap import init_fmap_wf
 
 # from .base import init_sdc_wf
 # from .unwarp import init_sdc_unwarp_wf, init_fmap_unwarp_report_wf

From a4822498b07df18dfb76d04ef0a8f74ded703683 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 17:54:14 -0400
Subject: [PATCH 020/156] Add subject_id to dwi base workflow and style changes

---
 dmriprep/workflows/base.py              |  12 +-
 dmriprep/workflows/dwi/base.py          |   2 +-
 dmriprep/workflows/dwi/datasink.py      |  79 ++-
 dmriprep/workflows/dwi/report.py        | 890 ++++++++++++------------
 dmriprep/workflows/fieldmap/__init__.py |  45 --
 dmriprep/workflows/fieldmap/fmap.py     |  19 +-
 6 files changed, 508 insertions(+), 539 deletions(-)

diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 4ee7508f..02bb7d9b 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -54,14 +54,14 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
     for dwi_file in dwi_files:
         entities = layout.parse_file_entities(dwi_file)
         session_id = entities["session"]
-        dwi_preproc_wf = init_dwi_preproc_wf(dwi_file=dwi_file, layout=layout)
+        dwi_preproc_wf = init_dwi_preproc_wf(
+            subject_id=subject_id, dwi_file=dwi_file, layout=layout
+        )
         datasink_wf = init_output_wf(
-            subject=subject_id, session=session_id, output_folder=output_dir
+            subject_id=subject_id, session_id=session_id, output_folder=output_dir
         )
 
         dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(work_dir), subject_id)
-        entities = layout.parse_file_entities(dwi_file)
-        session_id = entities["session"]
 
         inputspec = dwi_preproc_wf.get_node("inputnode")
         inputspec.inputs.subject_id = subject_id
@@ -72,8 +72,8 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
         inputspec.inputs.out_dir = os.path.abspath(output_dir)
 
         ds_inputspec = datasink_wf.get_node("inputnode")
-        ds_inputspec.inputs.subject = subject_id
-        ds_inputspec.inputs.session = session_id
+        ds_inputspec.inputs.subject_id = subject_id
+        ds_inputspec.inputs.session_id = session_id
         ds_inputspec.inputs.output_folder = output_dir
 
         wf_name = "sub_" + subject_id + "_ses_" + session_id + "_preproc_wf"
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index b9481fb0..ff92af50 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -2,7 +2,7 @@
 from ..fieldmap import init_fmap_wf
 
 
-def init_dwi_preproc_wf(dwi_file, layout):
+def init_dwi_preproc_wf(subject_id, dwi_file, layout):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import (
         freesurfer as fs,
diff --git a/dmriprep/workflows/dwi/datasink.py b/dmriprep/workflows/dwi/datasink.py
index 530b6ba6..58500aae 100644
--- a/dmriprep/workflows/dwi/datasink.py
+++ b/dmriprep/workflows/dwi/datasink.py
@@ -1,40 +1,71 @@
 #!/usr/bin/env python
 
-def init_output_wf(subject, session, output_folder):
+
+def init_output_wf(subject_id, session_id, output_folder):
     from nipype.pipeline import engine as pe
-    from nipype.interfaces import (freesurfer as fs, fsl, mrtrix3, io as nio, \
-                                   utility as niu)
+    from nipype.interfaces import (
+        freesurfer as fs,
+        fsl,
+        mrtrix3,
+        io as nio,
+        utility as niu,
+    )
     from nipype import logging
 
     op_wf = pe.Workflow(name="output_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=[
-        'subject',
-        'session',
-        'out_file',
-        'out_mask',
-        'out_bvec',
-        'output_folder']),
-        name="inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                "subject_id",
+                "session_id",
+                "out_file",
+                "out_mask",
+                "out_bvec",
+                "output_folder",
+            ]
+        ),
+        name="inputnode",
+    )
 
-    def build_path(output_folder, subject, session):
+    def build_path(output_folder, subject_id, session_id):
         import os.path as op
-        return op.join(output_folder, "sub-" + subject, "ses-" + session, "dwi")
 
-    concat = pe.Node(niu.Function(input_names=["output_folder", "subject", "session"], output_names=["built_folder"], function=build_path), name="build_path")
+        return op.join(output_folder, "sub-" + subject_id, "ses-" + session_id, "dwi")
+
+    concat = pe.Node(
+        niu.Function(
+            input_names=["output_folder", "subject_id", "session_id"],
+            output_names=["built_folder"],
+            function=build_path,
+        ),
+        name="build_path",
+    )
 
     datasink = pe.Node(nio.DataSink(), name="datasink")
 
     op_wf.connect(
-        [(inputnode, concat, [('subject', 'subject'),
-                            ('session', 'session'),
-                            ('output_folder', 'output_folder')]),
-         (concat, datasink, [('built_folder', 'base_directory')]),
-         (inputnode, datasink, [('out_file', '@result.@dwi'),
-                             ('out_bvec', '@result.@bvec'),
-                             ('out_mask', '@result.@mask')])
-         ]
-         )
-
+        [
+            (
+                inputnode,
+                concat,
+                [
+                    ("subject_id", "subject_id"),
+                    ("session_id", "session_id"),
+                    ("output_folder", "output_folder"),
+                ],
+            ),
+            (concat, datasink, [("built_folder", "base_directory")]),
+            (
+                inputnode,
+                datasink,
+                [
+                    ("out_file", "@result.@dwi"),
+                    ("out_bvec", "@result.@bvec"),
+                    ("out_mask", "@result.@mask"),
+                ],
+            ),
+        ]
+    )
 
     return op_wf
diff --git a/dmriprep/workflows/dwi/report.py b/dmriprep/workflows/dwi/report.py
index 29579134..127123c3 100644
--- a/dmriprep/workflows/dwi/report.py
+++ b/dmriprep/workflows/dwi/report.py
@@ -1,448 +1,448 @@
 #!/usr/bin/env python
 
 
-def init_dwi_report_wf():
-
-    import nipype.interfaces.freesurfer as fs
-    import nipype.interfaces.fsl as fsl
-    import nipype.interfaces.io as nio
-    import nipype.interfaces.dipy as dipy
-    import nipype.interfaces.utility as niu
-    import nipype.pipeline.engine as pe
-
-    inputspec = pe.Node(niu.IdentityInterface(fields=[
-        'subject_id',
-        'dwi_file',
-        'dwi_file_ap',
-        'dwi_file_pa',
-        'bvec_file',
-        'bval_file',
-        'subjects_dir',
-        'out_dir',
-        'eddy_niter',
-        'slice_outlier_threshold'
-    ]), name="inputspec")
-
-    def id_outliers_fn(outlier_report, threshold, dwi_file):
-        """Get list of scans that exceed threshold for number of outliers
-        Parameters
-        ----------
-        outlier_report: string
-            Path to the fsl_eddy outlier report
-        threshold: int or float
-            If threshold is an int, it is treated as number of allowed outlier
-            slices. If threshold is a float between 0 and 1 (exclusive), it is
-            treated the fraction of allowed outlier slices before we drop the
-            whole volume.
-        dwi_file: string
-            Path to nii dwi file to determine total number of slices
-        Returns
-        -------
-        drop_scans: numpy.ndarray
-            List of scan indices to drop
-        """
-        import nibabel as nib
-        import numpy as np
-        import os.path as op
-        import parse
-
-        with open(op.abspath(outlier_report), 'r') as fp:
-            lines = fp.readlines()
-
-        p = parse.compile(
-            "Slice {slice:d} in scan {scan:d} is an outlier with "
-            "mean {mean_sd:f} standard deviations off, and mean "
-            "squared {mean_sq_sd:f} standard deviations off."
-        )
-
-        outliers = [p.parse(l).named for l in lines]
-        scans = {d['scan'] for d in outliers}
-
-        def num_outliers(scan, outliers):
-            return len([d for d in outliers if d['scan'] == scan])
-
-        if 0 < threshold < 1:
-            img = nib.load(dwi_file)
-            try:
-                threshold *= img.header.get_n_slices()
-            except nib.spatialimages.HeaderDataError:
-                print('WARNING. We are not sure which dimension has the '
-                      'slices in this image. So we are using the 3rd dim.', img.shape)
-                threshold *= img.shape[2]
-
-        drop_scans = np.array([
-            s for s in scans
-            if num_outliers(s, outliers) > threshold
-        ])
-
-        outpath = op.abspath("dropped_scans.txt")
-        np.savetxt(outpath, drop_scans, fmt="%d")
-
-        return drop_scans, outpath
-
-    id_outliers_node = pe.Node(niu.Function(
-        input_names=["outlier_report", "threshold", "dwi_file"],
-        output_names=["drop_scans", "outpath"],
-        function=id_outliers_fn),
-        name="id_outliers_node"
-    )
-
-    wf.connect(inputspec, 'dwi_file', id_outliers_node, 'dwi_file')
-    wf.connect(inputspec, 'slice_outlier_threshold', id_outliers_node, 'threshold')
-
-    wf.connect(prep, "fsl_eddy.out_outlier_report",
-               id_outliers_node, "outlier_report")
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-    wf.connect(prep, "outputnode.out_file", fslroi, "in_file")
-
-    bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="coreg",
-                                  out_fsl_file=True,
-                                  # subjects_dir=subjects_dir,
-                                  epi_mask=True),
-                    name="bbreg")
-    bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
-    wf.connect(fslroi, "roi_file", bbreg, "source_file")
-    wf.connect(inputspec, 'subjects_dir', bbreg, 'subjects_dir')
-
-    def drop_outliers_fn(in_file, in_bval, in_bvec, drop_scans):
-        """Drop outlier volumes from dwi file
-        Parameters
-        ----------
-        in_file: string
-            Path to nii dwi file to drop outlier volumes from
-        in_bval: string
-            Path to bval file to drop outlier volumes from
-        in_bvec: string
-            Path to bvec file to drop outlier volumes from
-        drop_scans: numpy.ndarray
-            List of scan indices to drop
-        Returns
-        -------
-        out_file: string
-            Path to "thinned" output dwi file
-        out_bval: string
-            Path to "thinned" output bval file
-        out_bvec: string
-            Path to "thinned" output bvec file
-        """
-        import nibabel as nib
-        import numpy as np
-        import os.path as op
-        from nipype.utils.filemanip import fname_presuffix
-
-        img = nib.load(op.abspath(in_file))
-        img_data = img.get_data()
-        img_data_thinned = np.delete(img_data,
-                                     drop_scans,
-                                     axis=3)
-        if isinstance(img, nib.nifti1.Nifti1Image):
-            img_thinned = nib.Nifti1Image(img_data_thinned.astype(np.float64),
-                                          img.affine,
-                                          header=img.header)
-        elif isinstance(img, nib.nifti2.Nifti2Image):
-            img_thinned = nib.Nifti2Image(img_data_thinned.astype(np.float64),
-                                          img.affine,
-                                          header=img.header)
-        else:
-            raise TypeError("in_file does not contain Nifti image datatype.")
-
-        out_file = fname_presuffix(in_file, suffix="_thinned", newpath=op.abspath('.'))
-        nib.save(img_thinned, op.abspath(out_file))
-
-        bval = np.loadtxt(in_bval)
-        bval_thinned = np.delete(bval, drop_scans, axis=0)
-        out_bval = fname_presuffix(in_bval, suffix="_thinned", newpath=op.abspath('.'))
-        np.savetxt(out_bval, bval_thinned)
-
-        bvec = np.loadtxt(in_bvec)
-        bvec_thinned = np.delete(bvec, drop_scans, axis=1)
-        out_bvec = fname_presuffix(in_bvec, suffix="_thinned", newpath=op.abspath('.'))
-        np.savetxt(out_bvec, bvec_thinned)
-
-        return out_file, out_bval, out_bvec
-
-    drop_outliers_node = pe.Node(niu.Function(
-        input_names=["in_file", "in_bval", "in_bvec", "drop_scans"],
-        output_names=["out_file", "out_bval", "out_bvec"],
-        function=drop_outliers_fn),
-        name="drop_outliers_node"
-    )
-
-    # Align the output of drop_outliers_node & also the eddy corrected version to the anatomical space
-    # without resampling. and then for aparc+aseg & the mask, resample to the larger voxel size of the B0 image from
-    # fslroi. Also we need to apply the transformation to both bvecs (dropped & eddied) and I think we can just load
-    # the affine from bbreg (sio.loadmat) and np.dot(coord, aff) for each coord in bvec
-
-    def get_orig(subjects_dir, sub='freesurfer'):
-        import os.path as op
-        return op.join(subjects_dir, sub, "mri", "orig.mgz")
-
-    def get_aparc_aseg(subjects_dir, sub='freesurfer'):
-        import os.path as op
-        return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
-
-    # transform the dropped volume version to anat space w/ out resampling
-    voltransform = pe.Node(fs.ApplyVolTransform(no_resample=True),
-                           iterfield=['source_file', 'reg_file'],
-                           name='transform')
-
-    wf.connect(inputspec, 'subjects_dir', voltransform, 'subjects_dir')
-    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), voltransform, 'target_file')
-    wf.connect(prep, "outputnode.out_file", voltransform, "source_file")
-    wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
-
-    def apply_transform_to_bvecs_fn(bvec_file, reg_mat_file):
-        import numpy as np
-        import nipype.utils.filemanip as fm
-        import os
-
-        aff = np.loadtxt(reg_mat_file)
-        bvecs = np.loadtxt(bvec_file)
-        bvec_trans = []
-        for bvec in bvecs.T:
-            coord = np.hstack((bvec, [1]))
-            coord_trans = np.dot(coord, aff)[:-1]
-            bvec_trans.append(coord_trans)
-        out_bvec = fm.fname_presuffix(bvec_file, suffix="anat_space", newpath=os.path.abspath('.'))
-        np.savetxt(out_bvec, np.asarray(bvec_trans).T)
-        return out_bvec
-
-    apply_transform_to_bvecs_node = pe.Node(niu.Function(input_names=['bvec_file', 'reg_mat_file'],
-                                                         output_names=['out_bvec'],
-                                                         function=apply_transform_to_bvecs_fn),
-                                            name="applyTransformToBvecs")
-    wf.connect(bbreg, 'out_fsl_file', apply_transform_to_bvecs_node, 'reg_mat_file')
-    wf.connect(prep, 'outputnode.out_bvec', apply_transform_to_bvecs_node, 'bvec_file')
-
-    # ok cool, now lets do the thresholding.
-
-    wf.connect(id_outliers_node, "drop_scans", drop_outliers_node, "drop_scans")
-    wf.connect(voltransform, "transformed_file", drop_outliers_node, "in_file")
-    wf.connect(inputspec, 'bval_file', drop_outliers_node, 'in_bval')
-    wf.connect(apply_transform_to_bvecs_node, "out_bvec", drop_outliers_node, "in_bvec")
-
-    # lets compute the tensor on both the dropped volume scan
-    # and also the original, eddy corrected one.
-    get_tensor = pe.Node(dipy.DTI(), name="dipy_tensor")
-    wf.connect(drop_outliers_node, "out_file", get_tensor, "in_file")
-    wf.connect(drop_outliers_node, "out_bval", get_tensor, "in_bval")
-    wf.connect(drop_outliers_node, "out_bvec", get_tensor, "in_bvec")
-
-    get_tensor_eddy = get_tensor.clone('dipy_tensor_eddy')
-    wf.connect(voltransform, 'transformed_file', get_tensor_eddy, "in_file")
-    wf.connect(apply_transform_to_bvecs_node, 'out_bvec', get_tensor_eddy, "in_bvec")
-    wf.connect(inputspec, 'bval_file', get_tensor_eddy, 'in_bval')
-
-    # AK: What is this, some vestigal node from a previous workflow?
-    # I'm not sure why the tensor gets scaled. but i guess lets scale it for
-    # both the dropped & eddy corrected versions.
-    scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
-    scale_tensor.inputs.operation = 'mul'
-    scale_tensor.inputs.operand_value = 1000
-    wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
-
-    scale_tensor_eddy = scale_tensor.clone('scale_tensor_eddy')
-    wf.connect(get_tensor_eddy, 'out_file', scale_tensor_eddy, 'in_file')
-
-    # OK now that anatomical stuff (segmentation & mask)
-    # We'll need:
-    # 1. the B0 image in anat space (fslroi the 'transformed file' of voltransform
-    # 2. the aparc aseg resampled-like the B0 image (mri_convert)
-    # 3. the resample aparc_aseg binarized to be the mask image.
-
-    def binarize_aparc(aparc_aseg):
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        import os.path as op
-
-        img = nib.load(aparc_aseg)
-        data, aff = img.get_data(), img.affine
-        outfile = fname_presuffix(
-            aparc_aseg, suffix="bin.nii.gz",
-            newpath=op.abspath("."), use_ext=False
-        )
-        nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
-        return outfile
-
-    create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
-                                       output_names=["outfile"],
-                                       function=binarize_aparc),
-                          name="bin_aparc")
-
-    get_b0_anat = fslroi.clone('get_b0_anat')
-    wf.connect(voltransform, 'transformed_file', get_b0_anat, 'in_file')
-
-    # reslice the anat-space aparc+aseg to the DWI resolution
-    reslice_to_dwi = pe.Node(fs.MRIConvert(resample_type="nearest"),
-                             name="reslice_to_dwi")
-    wf.connect(get_b0_anat, 'roi_file', reslice_to_dwi, 'reslice_like')
-    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), reslice_to_dwi, 'in_file')
-
-    # also reslice the orig i suppose
-    reslice_orig_to_dwi = reslice_to_dwi.clone('resliceT1wToDwi')
-    wf.connect(inputspec, ('subjects_dir', get_orig), reslice_orig_to_dwi, 'in_file')
-    # reslice_orig_to_dwi.inputs.in_file = get_orig(subjects_dir, 'freesurfer')
-    reslice_orig_to_dwi.inputs.out_type = 'niigz'
-    wf.connect(get_b0_anat, 'roi_file', reslice_orig_to_dwi, 'reslice_like')
-
-    # we assume the freesurfer is the output of BIDS
-    # so the freesurfer output is in /path/to/derivatives/sub-whatever/freesurfer
-    # which means the subject_dir is /path/to/derivatives/sub-whatever
-    # reslice_to_dwi.inputs.in_file = get_aparc_aseg(subjects_dir, 'freesurfer')
-
-    # now we have a nice aparc+aseg still in anat space but resliced like the dwi file
-    # lets create a mask file from it.
-
-    wf.connect(reslice_to_dwi, 'out_file', create_mask, 'aparc_aseg')
-
-    # save all the things
-    datasink = pe.Node(nio.DataSink(), name="sinker")
-    wf.connect(inputspec, 'out_dir', datasink, 'base_directory')
-    wf.connect(inputspec, 'subject_id', datasink, 'container')
-
-    wf.connect(drop_outliers_node, "out_file", datasink, "dmriprep.dwi.@thinned")
-    wf.connect(drop_outliers_node, "out_bval", datasink, "dmriprep.dwi.@bval_thinned")
-    wf.connect(drop_outliers_node, "out_bvec", datasink, "dmriprep.dwi.@bvec_thinned")
-
-    # eddy corrected files
-    wf.connect(prep, "outputnode.out_file", datasink, "dmriprep.dwi_eddy.@corrected")
-    wf.connect(prep, "outputnode.out_bvec", datasink, "dmriprep.dwi_eddy.@rotated")
-    wf.connect(inputspec, 'bval_file', datasink, 'dmriprep.dwi_eddy.@bval')
-
-    # all the eddy stuff except the corrected files
-    wf.connect(prep, "fsl_eddy.out_movement_rms",
-               datasink, "dmriprep.qc.@eddyparamsrms")
-    wf.connect(prep, "fsl_eddy.out_outlier_report",
-               datasink, "dmriprep.qc.@eddyparamsreport")
-    wf.connect(prep, "fsl_eddy.out_restricted_movement_rms",
-               datasink, "dmriprep.qc.@eddyparamsrestrictrms")
-    wf.connect(prep, "fsl_eddy.out_shell_alignment_parameters",
-               datasink, "dmriprep.qc.@eddyparamsshellalign")
-    wf.connect(prep, "fsl_eddy.out_parameter",
-               datasink, "dmriprep.qc.@eddyparams")
-    wf.connect(prep, "fsl_eddy.out_cnr_maps",
-               datasink, "dmriprep.qc.@eddycndr")
-    wf.connect(prep, "fsl_eddy.out_residuals",
-               datasink, "dmriprep.qc.@eddyresid")
-
-    # the file that told us which volumes to drop
-    wf.connect(id_outliers_node, "outpath", datasink, "dmriprep.qc.@droppedscans")
-
-    # the tensors of the dropped volumes dwi
-    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
-    wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
-    wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
-    wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
-    wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
-    wf.connect(get_tensor, "color_fa_file", datasink, "dmriprep.dti.@colorfa")
-    wf.connect(scale_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
-
-    # the tensors of the eddied volumes dwi
-    wf.connect(get_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@tensor")
-    wf.connect(get_tensor_eddy, "fa_file", datasink, "dmriprep.dti_eddy.@fa")
-    wf.connect(get_tensor_eddy, "md_file", datasink, "dmriprep.dti_eddy.@md")
-    wf.connect(get_tensor_eddy, "ad_file", datasink, "dmriprep.dti_eddy.@ad")
-    wf.connect(get_tensor_eddy, "rd_file", datasink, "dmriprep.dti_eddy.@rd")
-    wf.connect(get_tensor_eddy, "color_fa_file", datasink, "dmriprep.dti_eddy.@colorfa")
-    wf.connect(scale_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@scaled_tensor")
-
-    # all the eddy_quad stuff
-    wf.connect(eddy_quad, 'qc_json', datasink, "dmriprep.qc.@eddyquad_json")
-    wf.connect(eddy_quad, 'qc_pdf', datasink, "dmriprep.qc.@eddyquad_pdf")
-    wf.connect(eddy_quad, 'avg_b_png', datasink, "dmriprep.qc.@eddyquad_bpng")
-    wf.connect(eddy_quad, 'avg_b0_pe_png',
-               datasink, "dmriprep.qc.@eddyquad_b0png")
-    wf.connect(eddy_quad, 'cnr_png', datasink, "dmriprep.qc.@eddyquad_cnr")
-    wf.connect(eddy_quad, 'vdm_png', datasink, "dmriprep.qc.@eddyquad_vdm")
-    wf.connect(eddy_quad, 'residuals', datasink, 'dmriprep.qc.@eddyquad_resid')
-
-    # anatomical registration stuff
-    wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
-    wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
-    wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
-
-    # anatomical files resliced
-    wf.connect(reslice_to_dwi, 'out_file', datasink, 'dmriprep.anat.@segmentation')
-    wf.connect(create_mask, 'outfile', datasink, 'dmriprep.anat.@mask')
-    wf.connect(reslice_orig_to_dwi, 'out_file', datasink, 'dmriprep.anat.@T1w')
-
-    def report_fn(dwi_corrected_file, eddy_rms, eddy_report,
-                  color_fa_file, anat_mask_file, outlier_indices,
-                  eddy_qc_file):
-        from dmriprep.qc import create_report_json
-
-        report = create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
-                                    color_fa_file, anat_mask_file, outlier_indices,
-                                    eddy_qc_file)
-        return report
-
-    report_node = pe.Node(niu.Function(
-        input_names=['dwi_corrected_file', 'eddy_rms',
-                     'eddy_report', 'color_fa_file',
-                     'anat_mask_file', 'outlier_indices', 'eddy_qc_file'],
-        output_names=['report'],
-        function=report_fn
-    ), name="reportJSON")
-
-    # for the report, lets show the eddy corrected (full volume) image
-    wf.connect(voltransform, "transformed_file", report_node, 'dwi_corrected_file')
-    wf.connect(eddy_quad, 'qc_json', report_node, 'eddy_qc_file')
-
-    # add the rms movement output from eddy
-    wf.connect(prep, "fsl_eddy.out_movement_rms", report_node, 'eddy_rms')
-    wf.connect(prep, "fsl_eddy.out_outlier_report", report_node, 'eddy_report')
-    wf.connect(id_outliers_node, 'drop_scans', report_node, 'outlier_indices')
-
-    # the mask file to check our registration, and the colorFA file go in the report
-    wf.connect(create_mask, "outfile", report_node, 'anat_mask_file')
-    wf.connect(get_tensor, "color_fa_file", report_node, 'color_fa_file')
-
-    # save that report!
-    wf.connect(report_node, 'report', datasink, 'dmriprep.report.@report')
-
-    # this part is done last, to get the filenames *just right*
-    # its super annoying.
-    def name_files_nicely(dwi_file, subject_id):
-        import os.path as op
-
-        dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
-        substitutions = [
-            ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
-            ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
-            ("motion_parameters.par", dwi_fname + ".motion.txt"),
-            ("_rotated.bvec", ".bvec"),
-            ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
-            ("vol0000_flirt_merged", dwi_fname),
-            ("_roi_bbreg_freesurfer", "_register"),
-            ("dwi/eddy_corrected", "dwi/%s" % dwi_fname),
-            ("dti/eddy_corrected", "dti/%s" % dwi_fname.replace("_dwi", "")),
-            ("reg/eddy_corrected", "reg/%s" % dwi_fname.replace("_dwi", "")),
-            ("aparc+aseg_outbin", dwi_fname.replace("_dwi", "_mask")),
-            ("aparc+aseg_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
-            ("art.eddy_corrected_outliers", dwi_fname.replace("dwi", "outliers")),
-            ("color_fa", "colorfa"),
-            ("orig_out", dwi_fname.replace("_dwi", "_T1w")),
-            ("stats.eddy_corrected", dwi_fname.replace("dwi", "artStats")),
-            ("eddy_corrected.eddy_parameters", dwi_fname + ".eddy_parameters"),
-            ("qc/eddy_corrected", "qc/" + dwi_fname),
-            ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(subject_id)),
-            ("_rotatedanat_space_thinned", ""),
-            ("_thinned", ""),
-            ("eddy_corrected", dwi_fname),
-            ("_warped", ""),
-            ("_maths", "_scaled"),
-            ("dropped_scans", dwi_fname.replace("_dwi", "_dwi_dropped_scans")),
-            ("report.json", dwi_fname.replace("_dwi", "_dwi_report.json"))
-        ]
-        return substitutions
-
-    node_name_files_nicely = pe.Node(niu.Function(input_names=['dwi_file', 'subject_id'],
-                                                  output_names=['substitutions'],
-                                                  function=name_files_nicely),
-                                     name="name_files_nicely")
-    wf.connect(inputspec, 'dwi_file', node_name_files_nicely, 'dwi_file')
-    wf.connect(inputspec, 'subject_id', node_name_files_nicely, 'subject_id')
-    wf.connect(node_name_files_nicely, 'substitutions', datasink, 'substitutions')
-
-    return wf
+# def init_dwi_report_wf():
+#
+#     import nipype.interfaces.freesurfer as fs
+#     import nipype.interfaces.fsl as fsl
+#     import nipype.interfaces.io as nio
+#     import nipype.interfaces.dipy as dipy
+#     import nipype.interfaces.utility as niu
+#     import nipype.pipeline.engine as pe
+#
+#     inputspec = pe.Node(niu.IdentityInterface(fields=[
+#         'subject_id',
+#         'dwi_file',
+#         'dwi_file_ap',
+#         'dwi_file_pa',
+#         'bvec_file',
+#         'bval_file',
+#         'subjects_dir',
+#         'out_dir',
+#         'eddy_niter',
+#         'slice_outlier_threshold'
+#     ]), name="inputspec")
+#
+#     def id_outliers_fn(outlier_report, threshold, dwi_file):
+#         """Get list of scans that exceed threshold for number of outliers
+#         Parameters
+#         ----------
+#         outlier_report: string
+#             Path to the fsl_eddy outlier report
+#         threshold: int or float
+#             If threshold is an int, it is treated as number of allowed outlier
+#             slices. If threshold is a float between 0 and 1 (exclusive), it is
+#             treated the fraction of allowed outlier slices before we drop the
+#             whole volume.
+#         dwi_file: string
+#             Path to nii dwi file to determine total number of slices
+#         Returns
+#         -------
+#         drop_scans: numpy.ndarray
+#             List of scan indices to drop
+#         """
+#         import nibabel as nib
+#         import numpy as np
+#         import os.path as op
+#         import parse
+#
+#         with open(op.abspath(outlier_report), 'r') as fp:
+#             lines = fp.readlines()
+#
+#         p = parse.compile(
+#             "Slice {slice:d} in scan {scan:d} is an outlier with "
+#             "mean {mean_sd:f} standard deviations off, and mean "
+#             "squared {mean_sq_sd:f} standard deviations off."
+#         )
+#
+#         outliers = [p.parse(l).named for l in lines]
+#         scans = {d['scan'] for d in outliers}
+#
+#         def num_outliers(scan, outliers):
+#             return len([d for d in outliers if d['scan'] == scan])
+#
+#         if 0 < threshold < 1:
+#             img = nib.load(dwi_file)
+#             try:
+#                 threshold *= img.header.get_n_slices()
+#             except nib.spatialimages.HeaderDataError:
+#                 print('WARNING. We are not sure which dimension has the '
+#                       'slices in this image. So we are using the 3rd dim.', img.shape)
+#                 threshold *= img.shape[2]
+#
+#         drop_scans = np.array([
+#             s for s in scans
+#             if num_outliers(s, outliers) > threshold
+#         ])
+#
+#         outpath = op.abspath("dropped_scans.txt")
+#         np.savetxt(outpath, drop_scans, fmt="%d")
+#
+#         return drop_scans, outpath
+#
+#     id_outliers_node = pe.Node(niu.Function(
+#         input_names=["outlier_report", "threshold", "dwi_file"],
+#         output_names=["drop_scans", "outpath"],
+#         function=id_outliers_fn),
+#         name="id_outliers_node"
+#     )
+#
+#     wf.connect(inputspec, 'dwi_file', id_outliers_node, 'dwi_file')
+#     wf.connect(inputspec, 'slice_outlier_threshold', id_outliers_node, 'threshold')
+#
+#     wf.connect(prep, "fsl_eddy.out_outlier_report",
+#                id_outliers_node, "outlier_report")
+#
+#     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
+#     wf.connect(prep, "outputnode.out_file", fslroi, "in_file")
+#
+#     bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="coreg",
+#                                   out_fsl_file=True,
+#                                   # subjects_dir=subjects_dir,
+#                                   epi_mask=True),
+#                     name="bbreg")
+#     bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
+#     wf.connect(fslroi, "roi_file", bbreg, "source_file")
+#     wf.connect(inputspec, 'subjects_dir', bbreg, 'subjects_dir')
+#
+#     def drop_outliers_fn(in_file, in_bval, in_bvec, drop_scans):
+#         """Drop outlier volumes from dwi file
+#         Parameters
+#         ----------
+#         in_file: string
+#             Path to nii dwi file to drop outlier volumes from
+#         in_bval: string
+#             Path to bval file to drop outlier volumes from
+#         in_bvec: string
+#             Path to bvec file to drop outlier volumes from
+#         drop_scans: numpy.ndarray
+#             List of scan indices to drop
+#         Returns
+#         -------
+#         out_file: string
+#             Path to "thinned" output dwi file
+#         out_bval: string
+#             Path to "thinned" output bval file
+#         out_bvec: string
+#             Path to "thinned" output bvec file
+#         """
+#         import nibabel as nib
+#         import numpy as np
+#         import os.path as op
+#         from nipype.utils.filemanip import fname_presuffix
+#
+#         img = nib.load(op.abspath(in_file))
+#         img_data = img.get_data()
+#         img_data_thinned = np.delete(img_data,
+#                                      drop_scans,
+#                                      axis=3)
+#         if isinstance(img, nib.nifti1.Nifti1Image):
+#             img_thinned = nib.Nifti1Image(img_data_thinned.astype(np.float64),
+#                                           img.affine,
+#                                           header=img.header)
+#         elif isinstance(img, nib.nifti2.Nifti2Image):
+#             img_thinned = nib.Nifti2Image(img_data_thinned.astype(np.float64),
+#                                           img.affine,
+#                                           header=img.header)
+#         else:
+#             raise TypeError("in_file does not contain Nifti image datatype.")
+#
+#         out_file = fname_presuffix(in_file, suffix="_thinned", newpath=op.abspath('.'))
+#         nib.save(img_thinned, op.abspath(out_file))
+#
+#         bval = np.loadtxt(in_bval)
+#         bval_thinned = np.delete(bval, drop_scans, axis=0)
+#         out_bval = fname_presuffix(in_bval, suffix="_thinned", newpath=op.abspath('.'))
+#         np.savetxt(out_bval, bval_thinned)
+#
+#         bvec = np.loadtxt(in_bvec)
+#         bvec_thinned = np.delete(bvec, drop_scans, axis=1)
+#         out_bvec = fname_presuffix(in_bvec, suffix="_thinned", newpath=op.abspath('.'))
+#         np.savetxt(out_bvec, bvec_thinned)
+#
+#         return out_file, out_bval, out_bvec
+#
+#     drop_outliers_node = pe.Node(niu.Function(
+#         input_names=["in_file", "in_bval", "in_bvec", "drop_scans"],
+#         output_names=["out_file", "out_bval", "out_bvec"],
+#         function=drop_outliers_fn),
+#         name="drop_outliers_node"
+#     )
+#
+#     # Align the output of drop_outliers_node & also the eddy corrected version to the anatomical space
+#     # without resampling. and then for aparc+aseg & the mask, resample to the larger voxel size of the B0 image from
+#     # fslroi. Also we need to apply the transformation to both bvecs (dropped & eddied) and I think we can just load
+#     # the affine from bbreg (sio.loadmat) and np.dot(coord, aff) for each coord in bvec
+#
+#     def get_orig(subjects_dir, sub='freesurfer'):
+#         import os.path as op
+#         return op.join(subjects_dir, sub, "mri", "orig.mgz")
+#
+#     def get_aparc_aseg(subjects_dir, sub='freesurfer'):
+#         import os.path as op
+#         return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
+#
+#     # transform the dropped volume version to anat space w/ out resampling
+#     voltransform = pe.Node(fs.ApplyVolTransform(no_resample=True),
+#                            iterfield=['source_file', 'reg_file'],
+#                            name='transform')
+#
+#     wf.connect(inputspec, 'subjects_dir', voltransform, 'subjects_dir')
+#     wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), voltransform, 'target_file')
+#     wf.connect(prep, "outputnode.out_file", voltransform, "source_file")
+#     wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
+#
+#     def apply_transform_to_bvecs_fn(bvec_file, reg_mat_file):
+#         import numpy as np
+#         import nipype.utils.filemanip as fm
+#         import os
+#
+#         aff = np.loadtxt(reg_mat_file)
+#         bvecs = np.loadtxt(bvec_file)
+#         bvec_trans = []
+#         for bvec in bvecs.T:
+#             coord = np.hstack((bvec, [1]))
+#             coord_trans = np.dot(coord, aff)[:-1]
+#             bvec_trans.append(coord_trans)
+#         out_bvec = fm.fname_presuffix(bvec_file, suffix="anat_space", newpath=os.path.abspath('.'))
+#         np.savetxt(out_bvec, np.asarray(bvec_trans).T)
+#         return out_bvec
+#
+#     apply_transform_to_bvecs_node = pe.Node(niu.Function(input_names=['bvec_file', 'reg_mat_file'],
+#                                                          output_names=['out_bvec'],
+#                                                          function=apply_transform_to_bvecs_fn),
+#                                             name="applyTransformToBvecs")
+#     wf.connect(bbreg, 'out_fsl_file', apply_transform_to_bvecs_node, 'reg_mat_file')
+#     wf.connect(prep, 'outputnode.out_bvec', apply_transform_to_bvecs_node, 'bvec_file')
+#
+#     # ok cool, now lets do the thresholding.
+#
+#     wf.connect(id_outliers_node, "drop_scans", drop_outliers_node, "drop_scans")
+#     wf.connect(voltransform, "transformed_file", drop_outliers_node, "in_file")
+#     wf.connect(inputspec, 'bval_file', drop_outliers_node, 'in_bval')
+#     wf.connect(apply_transform_to_bvecs_node, "out_bvec", drop_outliers_node, "in_bvec")
+#
+#     # lets compute the tensor on both the dropped volume scan
+#     # and also the original, eddy corrected one.
+#     get_tensor = pe.Node(dipy.DTI(), name="dipy_tensor")
+#     wf.connect(drop_outliers_node, "out_file", get_tensor, "in_file")
+#     wf.connect(drop_outliers_node, "out_bval", get_tensor, "in_bval")
+#     wf.connect(drop_outliers_node, "out_bvec", get_tensor, "in_bvec")
+#
+#     get_tensor_eddy = get_tensor.clone('dipy_tensor_eddy')
+#     wf.connect(voltransform, 'transformed_file', get_tensor_eddy, "in_file")
+#     wf.connect(apply_transform_to_bvecs_node, 'out_bvec', get_tensor_eddy, "in_bvec")
+#     wf.connect(inputspec, 'bval_file', get_tensor_eddy, 'in_bval')
+#
+#     # AK: What is this, some vestigal node from a previous workflow?
+#     # I'm not sure why the tensor gets scaled. but i guess lets scale it for
+#     # both the dropped & eddy corrected versions.
+#     scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
+#     scale_tensor.inputs.operation = 'mul'
+#     scale_tensor.inputs.operand_value = 1000
+#     wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
+#
+#     scale_tensor_eddy = scale_tensor.clone('scale_tensor_eddy')
+#     wf.connect(get_tensor_eddy, 'out_file', scale_tensor_eddy, 'in_file')
+#
+#     # OK now that anatomical stuff (segmentation & mask)
+#     # We'll need:
+#     # 1. the B0 image in anat space (fslroi the 'transformed file' of voltransform
+#     # 2. the aparc aseg resampled-like the B0 image (mri_convert)
+#     # 3. the resample aparc_aseg binarized to be the mask image.
+#
+#     def binarize_aparc(aparc_aseg):
+#         import nibabel as nib
+#         from nipype.utils.filemanip import fname_presuffix
+#         import os.path as op
+#
+#         img = nib.load(aparc_aseg)
+#         data, aff = img.get_data(), img.affine
+#         outfile = fname_presuffix(
+#             aparc_aseg, suffix="bin.nii.gz",
+#             newpath=op.abspath("."), use_ext=False
+#         )
+#         nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
+#         return outfile
+#
+#     create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
+#                                        output_names=["outfile"],
+#                                        function=binarize_aparc),
+#                           name="bin_aparc")
+#
+#     get_b0_anat = fslroi.clone('get_b0_anat')
+#     wf.connect(voltransform, 'transformed_file', get_b0_anat, 'in_file')
+#
+#     # reslice the anat-space aparc+aseg to the DWI resolution
+#     reslice_to_dwi = pe.Node(fs.MRIConvert(resample_type="nearest"),
+#                              name="reslice_to_dwi")
+#     wf.connect(get_b0_anat, 'roi_file', reslice_to_dwi, 'reslice_like')
+#     wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), reslice_to_dwi, 'in_file')
+#
+#     # also reslice the orig i suppose
+#     reslice_orig_to_dwi = reslice_to_dwi.clone('resliceT1wToDwi')
+#     wf.connect(inputspec, ('subjects_dir', get_orig), reslice_orig_to_dwi, 'in_file')
+#     # reslice_orig_to_dwi.inputs.in_file = get_orig(subjects_dir, 'freesurfer')
+#     reslice_orig_to_dwi.inputs.out_type = 'niigz'
+#     wf.connect(get_b0_anat, 'roi_file', reslice_orig_to_dwi, 'reslice_like')
+#
+#     # we assume the freesurfer is the output of BIDS
+#     # so the freesurfer output is in /path/to/derivatives/sub-whatever/freesurfer
+#     # which means the subject_dir is /path/to/derivatives/sub-whatever
+#     # reslice_to_dwi.inputs.in_file = get_aparc_aseg(subjects_dir, 'freesurfer')
+#
+#     # now we have a nice aparc+aseg still in anat space but resliced like the dwi file
+#     # lets create a mask file from it.
+#
+#     wf.connect(reslice_to_dwi, 'out_file', create_mask, 'aparc_aseg')
+#
+#     # save all the things
+#     datasink = pe.Node(nio.DataSink(), name="sinker")
+#     wf.connect(inputspec, 'out_dir', datasink, 'base_directory')
+#     wf.connect(inputspec, 'subject_id', datasink, 'container')
+#
+#     wf.connect(drop_outliers_node, "out_file", datasink, "dmriprep.dwi.@thinned")
+#     wf.connect(drop_outliers_node, "out_bval", datasink, "dmriprep.dwi.@bval_thinned")
+#     wf.connect(drop_outliers_node, "out_bvec", datasink, "dmriprep.dwi.@bvec_thinned")
+#
+#     # eddy corrected files
+#     wf.connect(prep, "outputnode.out_file", datasink, "dmriprep.dwi_eddy.@corrected")
+#     wf.connect(prep, "outputnode.out_bvec", datasink, "dmriprep.dwi_eddy.@rotated")
+#     wf.connect(inputspec, 'bval_file', datasink, 'dmriprep.dwi_eddy.@bval')
+#
+#     # all the eddy stuff except the corrected files
+#     wf.connect(prep, "fsl_eddy.out_movement_rms",
+#                datasink, "dmriprep.qc.@eddyparamsrms")
+#     wf.connect(prep, "fsl_eddy.out_outlier_report",
+#                datasink, "dmriprep.qc.@eddyparamsreport")
+#     wf.connect(prep, "fsl_eddy.out_restricted_movement_rms",
+#                datasink, "dmriprep.qc.@eddyparamsrestrictrms")
+#     wf.connect(prep, "fsl_eddy.out_shell_alignment_parameters",
+#                datasink, "dmriprep.qc.@eddyparamsshellalign")
+#     wf.connect(prep, "fsl_eddy.out_parameter",
+#                datasink, "dmriprep.qc.@eddyparams")
+#     wf.connect(prep, "fsl_eddy.out_cnr_maps",
+#                datasink, "dmriprep.qc.@eddycndr")
+#     wf.connect(prep, "fsl_eddy.out_residuals",
+#                datasink, "dmriprep.qc.@eddyresid")
+#
+#     # the file that told us which volumes to drop
+#     wf.connect(id_outliers_node, "outpath", datasink, "dmriprep.qc.@droppedscans")
+#
+#     # the tensors of the dropped volumes dwi
+#     wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
+#     wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
+#     wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
+#     wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
+#     wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
+#     wf.connect(get_tensor, "color_fa_file", datasink, "dmriprep.dti.@colorfa")
+#     wf.connect(scale_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
+#
+#     # the tensors of the eddied volumes dwi
+#     wf.connect(get_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@tensor")
+#     wf.connect(get_tensor_eddy, "fa_file", datasink, "dmriprep.dti_eddy.@fa")
+#     wf.connect(get_tensor_eddy, "md_file", datasink, "dmriprep.dti_eddy.@md")
+#     wf.connect(get_tensor_eddy, "ad_file", datasink, "dmriprep.dti_eddy.@ad")
+#     wf.connect(get_tensor_eddy, "rd_file", datasink, "dmriprep.dti_eddy.@rd")
+#     wf.connect(get_tensor_eddy, "color_fa_file", datasink, "dmriprep.dti_eddy.@colorfa")
+#     wf.connect(scale_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@scaled_tensor")
+#
+#     # all the eddy_quad stuff
+#     wf.connect(eddy_quad, 'qc_json', datasink, "dmriprep.qc.@eddyquad_json")
+#     wf.connect(eddy_quad, 'qc_pdf', datasink, "dmriprep.qc.@eddyquad_pdf")
+#     wf.connect(eddy_quad, 'avg_b_png', datasink, "dmriprep.qc.@eddyquad_bpng")
+#     wf.connect(eddy_quad, 'avg_b0_pe_png',
+#                datasink, "dmriprep.qc.@eddyquad_b0png")
+#     wf.connect(eddy_quad, 'cnr_png', datasink, "dmriprep.qc.@eddyquad_cnr")
+#     wf.connect(eddy_quad, 'vdm_png', datasink, "dmriprep.qc.@eddyquad_vdm")
+#     wf.connect(eddy_quad, 'residuals', datasink, 'dmriprep.qc.@eddyquad_resid')
+#
+#     # anatomical registration stuff
+#     wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
+#     wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
+#     wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
+#
+#     # anatomical files resliced
+#     wf.connect(reslice_to_dwi, 'out_file', datasink, 'dmriprep.anat.@segmentation')
+#     wf.connect(create_mask, 'outfile', datasink, 'dmriprep.anat.@mask')
+#     wf.connect(reslice_orig_to_dwi, 'out_file', datasink, 'dmriprep.anat.@T1w')
+#
+#     def report_fn(dwi_corrected_file, eddy_rms, eddy_report,
+#                   color_fa_file, anat_mask_file, outlier_indices,
+#                   eddy_qc_file):
+#         from dmriprep.qc import create_report_json
+#
+#         report = create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
+#                                     color_fa_file, anat_mask_file, outlier_indices,
+#                                     eddy_qc_file)
+#         return report
+#
+#     report_node = pe.Node(niu.Function(
+#         input_names=['dwi_corrected_file', 'eddy_rms',
+#                      'eddy_report', 'color_fa_file',
+#                      'anat_mask_file', 'outlier_indices', 'eddy_qc_file'],
+#         output_names=['report'],
+#         function=report_fn
+#     ), name="reportJSON")
+#
+#     # for the report, lets show the eddy corrected (full volume) image
+#     wf.connect(voltransform, "transformed_file", report_node, 'dwi_corrected_file')
+#     wf.connect(eddy_quad, 'qc_json', report_node, 'eddy_qc_file')
+#
+#     # add the rms movement output from eddy
+#     wf.connect(prep, "fsl_eddy.out_movement_rms", report_node, 'eddy_rms')
+#     wf.connect(prep, "fsl_eddy.out_outlier_report", report_node, 'eddy_report')
+#     wf.connect(id_outliers_node, 'drop_scans', report_node, 'outlier_indices')
+#
+#     # the mask file to check our registration, and the colorFA file go in the report
+#     wf.connect(create_mask, "outfile", report_node, 'anat_mask_file')
+#     wf.connect(get_tensor, "color_fa_file", report_node, 'color_fa_file')
+#
+#     # save that report!
+#     wf.connect(report_node, 'report', datasink, 'dmriprep.report.@report')
+#
+#     # this part is done last, to get the filenames *just right*
+#     # its super annoying.
+#     def name_files_nicely(dwi_file, subject_id):
+#         import os.path as op
+#
+#         dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
+#         substitutions = [
+#             ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
+#             ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
+#             ("motion_parameters.par", dwi_fname + ".motion.txt"),
+#             ("_rotated.bvec", ".bvec"),
+#             ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
+#             ("vol0000_flirt_merged", dwi_fname),
+#             ("_roi_bbreg_freesurfer", "_register"),
+#             ("dwi/eddy_corrected", "dwi/%s" % dwi_fname),
+#             ("dti/eddy_corrected", "dti/%s" % dwi_fname.replace("_dwi", "")),
+#             ("reg/eddy_corrected", "reg/%s" % dwi_fname.replace("_dwi", "")),
+#             ("aparc+aseg_outbin", dwi_fname.replace("_dwi", "_mask")),
+#             ("aparc+aseg_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
+#             ("art.eddy_corrected_outliers", dwi_fname.replace("dwi", "outliers")),
+#             ("color_fa", "colorfa"),
+#             ("orig_out", dwi_fname.replace("_dwi", "_T1w")),
+#             ("stats.eddy_corrected", dwi_fname.replace("dwi", "artStats")),
+#             ("eddy_corrected.eddy_parameters", dwi_fname + ".eddy_parameters"),
+#             ("qc/eddy_corrected", "qc/" + dwi_fname),
+#             ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(subject_id)),
+#             ("_rotatedanat_space_thinned", ""),
+#             ("_thinned", ""),
+#             ("eddy_corrected", dwi_fname),
+#             ("_warped", ""),
+#             ("_maths", "_scaled"),
+#             ("dropped_scans", dwi_fname.replace("_dwi", "_dwi_dropped_scans")),
+#             ("report.json", dwi_fname.replace("_dwi", "_dwi_report.json"))
+#         ]
+#         return substitutions
+#
+#     node_name_files_nicely = pe.Node(niu.Function(input_names=['dwi_file', 'subject_id'],
+#                                                   output_names=['substitutions'],
+#                                                   function=name_files_nicely),
+#                                      name="name_files_nicely")
+#     wf.connect(inputspec, 'dwi_file', node_name_files_nicely, 'dwi_file')
+#     wf.connect(inputspec, 'subject_id', node_name_files_nicely, 'subject_id')
+#     wf.connect(node_name_files_nicely, 'substitutions', datasink, 'substitutions')
+#
+#     return wf
diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index 8c1b7432..b2738743 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -1,48 +1,3 @@
 #!/usr/bin/env python
-# -*- coding: utf-8 -*-
-# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
-# vi: set ft=python sts=4 ts=4 sw=4 et:
-"""
-.. _sdc_estimation :
-Fieldmap estimation and unwarping workflows
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-.. automodule:: fmriprep.workflows.fieldmap.base
-    :members:
-    :undoc-members:
-    :show-inheritance:
-.. automodule:: fmriprep.workflows.fieldmap.fmap
-    :members:
-    :undoc-members:
-    :show-inheritance:
-.. automodule:: fmriprep.workflows.fieldmap.phdiff
-    :members:
-    :undoc-members:
-    :show-inheritance:
-.. automodule:: fmriprep.workflows.fieldmap.pepolar
-    :members:
-    :undoc-members:
-    :show-inheritance:
-.. automodule:: fmriprep.workflows.fieldmap.syn
-    :members:
-    :undoc-members:
-    :show-inheritance:
-.. automodule:: fmriprep.workflows.fieldmap.unwarp
-    :members:
-    :undoc-members:
-    :show-inheritance:
-"""
 
 from .fmap import init_fmap_wf
-
-# from .base import init_sdc_wf
-# from .unwarp import init_sdc_unwarp_wf, init_fmap_unwarp_report_wf
-# from .pepolar import init_pepolar_unwarp_wf
-# from .syn import init_syn_sdc_wf
-#
-# __all__ = [
-#     "init_sdc_wf",
-#     "init_sdc_unwarp_wf",
-#     "init_fmap_unwarp_report_wf",
-#     "init_pepolar_unwarp_wf",
-#     "init_syn_sdc_wf",
-# ]
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
index cd4995d8..6eccc565 100644
--- a/dmriprep/workflows/fieldmap/fmap.py
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -1,21 +1,4 @@
-# -*- coding: utf-8 -*-
-# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
-# vi: set ft=python sts=4 ts=4 sw=4 et:
-"""
-.. _sdc_direct_b0 :
-Direct B0 mapping sequences
-~~~~~~~~~~~~~~~~~~~~~~~~~~~
-When the fieldmap is directly measured with a prescribed sequence (such as
-:abbr:`SE (spiral echo)`), we only need to calculate the corresponding B-Spline
-coefficients to adapt the fieldmap to the TOPUP tool.
-This procedure is described with more detail `here <https://cni.stanford.edu/\
-wiki/GE_Processing#Fieldmaps>`__.
-This corresponds to the section 8.9.3 --fieldmap image (and one magnitude image)--
-of the BIDS specification.
-"""
-# from sdcflows.workflows.fmap import init_fmap_wf
-#
-# __all__ = ["init_fmap_wf"]
+#!/usr/bin/env python
 
 
 def init_fmap_wf():

From c991ac1aa5bc33ee9ca4acb1b199d624e46e98a6 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 17 Jun 2019 19:15:44 -0400
Subject: [PATCH 021/156] [FIX] add spaces to help and update fmap wf import

---
 dmriprep/cli.py                | 10 +++++-----
 dmriprep/workflows/dwi/base.py |  4 +++-
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 6542817b..2f5dab9f 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -21,11 +21,11 @@
 @click.command()
 @click.option(
     "--participant-label",
-    help="The label(s) of the participant(s) that should be"
-    "analyzed. The label corresponds to"
-    "sub-<participant_label> from the BIDS spec (so it does"
-    "not include 'sub-'). If this parameter is not provided"
-    "all subjects will be analyzed. Multiple participants"
+    help="The label(s) of the participant(s) that should be "
+    "analyzed. The label corresponds to "
+    "sub-<participant_label> from the BIDS spec (so it does "
+    "not include 'sub-'). If this parameter is not provided "
+    "all subjects will be analyzed. Multiple participants "
     "can be specified with a space separated list.",
     default=None,
 )
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index ff92af50..c8c9998e 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-from ..fieldmap import init_fmap_wf
+from ..fieldmap.fmap import init_fmap_wf
 
 
 def init_dwi_preproc_wf(subject_id, dwi_file, layout):
@@ -43,6 +43,8 @@ def init_dwi_preproc_wf(subject_id, dwi_file, layout):
                 "metadata",
                 "bvec_file",
                 "bval_file",
+                "fieldmap",
+                "magnitude"
                 "out_dir",
                 "eddy_niter",
                 "slice_outlier_threshold",

From 9dfb717001a87d88f564b1464f2dcc3ba071e018 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 18 Jun 2019 10:04:09 -0400
Subject: [PATCH 022/156] [REF] refactor sdc workflow to allow multiple fmap
 types in future

---
 dmriprep/workflows/base.py              |  5 +--
 dmriprep/workflows/dwi/base.py          | 42 ++++++++-----------------
 dmriprep/workflows/fieldmap/__init__.py |  1 +
 dmriprep/workflows/fieldmap/base.py     | 33 +++++++++++++++++++
 dmriprep/workflows/fieldmap/fmap.py     | 12 +++----
 5 files changed, 54 insertions(+), 39 deletions(-)
 create mode 100644 dmriprep/workflows/fieldmap/base.py

diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 02bb7d9b..644a8d07 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -54,8 +54,9 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
     for dwi_file in dwi_files:
         entities = layout.parse_file_entities(dwi_file)
         session_id = entities["session"]
+        metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
-            subject_id=subject_id, dwi_file=dwi_file, layout=layout
+            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout
         )
         datasink_wf = init_output_wf(
             subject_id=subject_id, session_id=session_id, output_folder=output_dir
@@ -66,7 +67,7 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
         inputspec = dwi_preproc_wf.get_node("inputnode")
         inputspec.inputs.subject_id = subject_id
         inputspec.inputs.dwi_file = dwi_file
-        inputspec.inputs.metadata = layout.get_metadata(dwi_file)
+        inputspec.inputs.metadata = metadata
         inputspec.inputs.bvec_file = layout.get_bvec(dwi_file)
         inputspec.inputs.bval_file = layout.get_bval(dwi_file)
         inputspec.inputs.out_dir = os.path.abspath(output_dir)
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index c8c9998e..89f9243f 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,8 +1,7 @@
 #!/usr/bin/env python
-from ..fieldmap.fmap import init_fmap_wf
 
 
-def init_dwi_preproc_wf(subject_id, dwi_file, layout):
+def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import (
         freesurfer as fs,
@@ -12,26 +11,21 @@ def init_dwi_preproc_wf(subject_id, dwi_file, layout):
         io as nio,
         utility as niu,
     )
-    from nipype import logging
+
+    from ..fieldmap.base import init_sdc_prep_wf
 
     fmaps = []
     fmaps = layout.get_fieldmap(dwi_file, return_list=True)
 
     for fmap in fmaps:
-        if fmap["suffix"] == "phase":
-            fmap_key = "phase1"
-        else:
-            fmap_key = fmap["suffix"]
-        fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
-
-    if not fmaps:
-        raise Exception(
-            "No fieldmap images found for participant {}. "
-            "All workflows require fieldmap images".format(subject_id)
-        )
+        # if fmap["suffix"] == "phase":
+        #     fmap_key = "phase1"
+        # else:
+        #     fmap_key = fmap["suffix"]
+        # fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
+        fmap["metadata"] = layout.get_metadata(fmap["suffix"])
 
-    if fmaps[0]["suffix"] == "fieldmap":
-        fmap_wf = init_fmap_wf()
+    sdc_wf = init_sdc_prep_wf(fmaps, metadata)
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
@@ -43,8 +37,6 @@ def init_dwi_preproc_wf(subject_id, dwi_file, layout):
                 "metadata",
                 "bvec_file",
                 "bval_file",
-                "fieldmap",
-                "magnitude"
                 "out_dir",
                 "eddy_niter",
                 "slice_outlier_threshold",
@@ -253,17 +245,9 @@ def get_b0_mask_fn(b0_file):
             (ecc, outputnode, [("out_corrected", "out_file")]),
             (b0mask_node, outputnode, [("mask_file", "out_mask")]),
             (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
-            (
-                inputnode,
-                fmap_wf,
-                [
-                    ("fieldmap", "inputnode.fieldmap"),
-                    ("magnitude", "inputnode.magnitude"),
-                ],
-            ),
-            (bet_dwi0, fmap_wf, [("out_file", "inputnode.b0_stripped")]),
-            (fmap_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
-            (fmap_wf, eddy_quad, [(("outputnode.out_fmap", get_path), "field")]),
+            (bet_dwi0, sdc_wf, [("out_file", "inputnode.b0_stripped")]),
+            (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
+            (sdc_wf, eddy_quad, [(("outputnode.out_fmap", get_path), "field")]),
         ]
     )
 
diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index b2738743..0af22be8 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -1,3 +1,4 @@
 #!/usr/bin/env python
 
+from .base import init_sdc_prep_wf
 from .fmap import init_fmap_wf
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
new file mode 100644
index 00000000..3ec9e2a0
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -0,0 +1,33 @@
+#!/usr/bin/env python
+
+FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
+
+
+def init_sdc_prep_wf(fmaps, dwi_meta):
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import utility as niu
+
+    sdc_prep_wf = pe.Workflow(name="sdc_prep_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode")
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap"]), name="outputnode")
+
+    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+    fmap = fmaps[0]
+
+    if fmap["suffix"] == "fieldmap":
+        from .fmap import init_fmap_wf
+
+        fmap_wf = init_fmap_wf()
+        fmap_wf.inputs.inputnode.fieldmap = fmap["fieldmap"]
+        fmap_wf.inputs.inputnode.magnitude = fmap["magnitude"]
+
+        sdc_prep_wf.connect(
+            [
+                (inputnode, fmap_wf, [("b0_stripped", "inputnode.b0_stripped")]),
+                (fmap_wf, outputnode, [("outputnode.out_fmap", "out_fmap")]),
+            ]
+        )
+
+    return sdc_prep_wf
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
index 6eccc565..64716f07 100644
--- a/dmriprep/workflows/fieldmap/fmap.py
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -4,14 +4,10 @@
 def init_fmap_wf():
     from nipype.pipeline import engine as pe
     from nipype.interfaces import fsl, utility as niu
-    from nipype import logging
 
-    fmap_wf = pe.Workflow(name="fmap_prep_wf")
+    wf = pe.Workflow(name="fmap_prep_wf")
 
-    inputnode = pe.Node(
-        niu.IdentityInterface(fields=["fieldmap", "magnitude", "b0_stripped"]),
-        name="inputnode",
-    )
+    inputnode = pe.Node(niu.IdentityInterface(fields=["fieldmap", "magnitude", "b0_stripped"]), name="inputnode")
 
     outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap"]), name="outputnode")
 
@@ -23,7 +19,7 @@ def init_fmap_wf():
 
     fmap_flirt = pe.Node(fsl.FLIRT(apply_xfm=True), name="fmapFlirt")
 
-    fmap_wf.connect(
+    wf.connect(
         [
             (inputnode, rad_to_hz, [("fieldmap", "in_file")]),
             (inputnode, mag_flirt, [("magnitude", "in_file")]),
@@ -35,4 +31,4 @@ def init_fmap_wf():
         ]
     )
 
-    return fmap_wf
+    return wf

From 0d6402c285468a8a95e0af1e3d28735e04e8ec21 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 18 Jun 2019 10:41:17 -0400
Subject: [PATCH 023/156] [STY] name denoise and unring output files nicely

---
 dmriprep/workflows/dwi/base.py | 21 ++++++++++++++-------
 1 file changed, 14 insertions(+), 7 deletions(-)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 89f9243f..81d8a757 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,5 +1,7 @@
 #!/usr/bin/env python
 
+import os
+
 
 def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
     from nipype.pipeline import engine as pe
@@ -11,6 +13,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
         io as nio,
         utility as niu,
     )
+    from nipype.utils.filemanip import fname_presuffix
 
     from ..fieldmap.base import init_sdc_prep_wf
 
@@ -50,14 +53,18 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
         name="outputnode",
     )
 
-    # name noise and out_file using fname_presuffix
-    denoise = pe.Node(
-        mrtrix3.DWIDenoise(noise="noise.nii.gz", out_file="denoised.nii.gz"),
-        name="denoise",
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+    denoise.inputs.noise = fname_presuffix(
+        dwi_file, suffix="_noise", newpath=os.path.abspath("."), use_ext=True
+    )
+    denoise.inputs.out_file = fname_presuffix(
+        dwi_file, suffix="_denoised", newpath=os.path.abspath("."), use_ext=True
     )
 
-    # name unring using fname_presuffix
-    unring = pe.Node(mrtrix3.MRDeGibbs(out_file="unringed.nii.gz"), name="unring")
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+    unring.inputs.out_file = fname_presuffix(
+        dwi_file, suffix="_unringed", newpath=os.path.abspath("."), use_ext=True
+    )
 
     def gen_index(in_file):
         import os.path as op
@@ -247,7 +254,7 @@ def get_b0_mask_fn(b0_file):
             (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
             (bet_dwi0, sdc_wf, [("out_file", "inputnode.b0_stripped")]),
             (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
-            (sdc_wf, eddy_quad, [(("outputnode.out_fmap", get_path), "field")]),
+            (sdc_wf, eddy_quad, [("outputnode.out_fmap", "field")]),
         ]
     )
 

From f30abe16d4e0f0ea90fcb31ca80a58c125b6e177 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Mon, 24 Jun 2019 15:43:15 -0400
Subject: [PATCH 024/156] Fix for eddy_quad input

---
 dmriprep/workflows/dwi/base.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 89f9243f..ac5dc38a 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -247,7 +247,7 @@ def get_b0_mask_fn(b0_file):
             (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
             (bet_dwi0, sdc_wf, [("out_file", "inputnode.b0_stripped")]),
             (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
-            (sdc_wf, eddy_quad, [(("outputnode.out_fmap", get_path), "field")]),
+            (sdc_wf, eddy_quad, [("outputnode.out_fmap", "field")]),
         ]
     )
 

From c70b8747f5dca6aef832a8cca3dc0fbfd4384fa8 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 24 Jun 2019 15:56:18 -0400
Subject: [PATCH 025/156] update denoise and unring filenames

---
 dmriprep/workflows/dwi/base.py   |  32 ++-
 dmriprep/workflows/dwi/report.py | 448 -------------------------------
 2 files changed, 23 insertions(+), 457 deletions(-)
 delete mode 100644 dmriprep/workflows/dwi/report.py

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 81d8a757..2c87bcaf 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -20,6 +20,12 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
     fmaps = []
     fmaps = layout.get_fieldmap(dwi_file, return_list=True)
 
+    if not fmaps:
+        raise Exception(
+            "No fieldmaps found for participant {}. "
+            "All workflows require fieldmaps".format(subject_id)
+        )
+
     for fmap in fmaps:
         # if fmap["suffix"] == "phase":
         #     fmap_key = "phase1"
@@ -53,17 +59,25 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
         name="outputnode",
     )
 
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-    denoise.inputs.noise = fname_presuffix(
-        dwi_file, suffix="_noise", newpath=os.path.abspath("."), use_ext=True
-    )
-    denoise.inputs.out_file = fname_presuffix(
-        dwi_file, suffix="_denoised", newpath=os.path.abspath("."), use_ext=True
+    denoise = pe.Node(
+        mrtrix3.DWIDenoise(
+            noise=fname_presuffix(
+                dwi_file, suffix="_noise", newpath=os.path.abspath("."), use_ext=True
+            ),
+            out_file=fname_presuffix(
+                dwi_file, suffix="_denoised", newpath=os.path.abspath("."), use_ext=True
+            ),
+        ),
+        name="denoise",
     )
 
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-    unring.inputs.out_file = fname_presuffix(
-        dwi_file, suffix="_unringed", newpath=os.path.abspath("."), use_ext=True
+    unring = pe.Node(
+        mrtrix3.MRDeGibbs(
+            out_file=fname_presuffix(
+                dwi_file, suffix="_unringed", newpath=os.path.abspath("."), use_ext=True
+            )
+        ),
+        name="unring",
     )
 
     def gen_index(in_file):
diff --git a/dmriprep/workflows/dwi/report.py b/dmriprep/workflows/dwi/report.py
deleted file mode 100644
index 127123c3..00000000
--- a/dmriprep/workflows/dwi/report.py
+++ /dev/null
@@ -1,448 +0,0 @@
-#!/usr/bin/env python
-
-
-# def init_dwi_report_wf():
-#
-#     import nipype.interfaces.freesurfer as fs
-#     import nipype.interfaces.fsl as fsl
-#     import nipype.interfaces.io as nio
-#     import nipype.interfaces.dipy as dipy
-#     import nipype.interfaces.utility as niu
-#     import nipype.pipeline.engine as pe
-#
-#     inputspec = pe.Node(niu.IdentityInterface(fields=[
-#         'subject_id',
-#         'dwi_file',
-#         'dwi_file_ap',
-#         'dwi_file_pa',
-#         'bvec_file',
-#         'bval_file',
-#         'subjects_dir',
-#         'out_dir',
-#         'eddy_niter',
-#         'slice_outlier_threshold'
-#     ]), name="inputspec")
-#
-#     def id_outliers_fn(outlier_report, threshold, dwi_file):
-#         """Get list of scans that exceed threshold for number of outliers
-#         Parameters
-#         ----------
-#         outlier_report: string
-#             Path to the fsl_eddy outlier report
-#         threshold: int or float
-#             If threshold is an int, it is treated as number of allowed outlier
-#             slices. If threshold is a float between 0 and 1 (exclusive), it is
-#             treated the fraction of allowed outlier slices before we drop the
-#             whole volume.
-#         dwi_file: string
-#             Path to nii dwi file to determine total number of slices
-#         Returns
-#         -------
-#         drop_scans: numpy.ndarray
-#             List of scan indices to drop
-#         """
-#         import nibabel as nib
-#         import numpy as np
-#         import os.path as op
-#         import parse
-#
-#         with open(op.abspath(outlier_report), 'r') as fp:
-#             lines = fp.readlines()
-#
-#         p = parse.compile(
-#             "Slice {slice:d} in scan {scan:d} is an outlier with "
-#             "mean {mean_sd:f} standard deviations off, and mean "
-#             "squared {mean_sq_sd:f} standard deviations off."
-#         )
-#
-#         outliers = [p.parse(l).named for l in lines]
-#         scans = {d['scan'] for d in outliers}
-#
-#         def num_outliers(scan, outliers):
-#             return len([d for d in outliers if d['scan'] == scan])
-#
-#         if 0 < threshold < 1:
-#             img = nib.load(dwi_file)
-#             try:
-#                 threshold *= img.header.get_n_slices()
-#             except nib.spatialimages.HeaderDataError:
-#                 print('WARNING. We are not sure which dimension has the '
-#                       'slices in this image. So we are using the 3rd dim.', img.shape)
-#                 threshold *= img.shape[2]
-#
-#         drop_scans = np.array([
-#             s for s in scans
-#             if num_outliers(s, outliers) > threshold
-#         ])
-#
-#         outpath = op.abspath("dropped_scans.txt")
-#         np.savetxt(outpath, drop_scans, fmt="%d")
-#
-#         return drop_scans, outpath
-#
-#     id_outliers_node = pe.Node(niu.Function(
-#         input_names=["outlier_report", "threshold", "dwi_file"],
-#         output_names=["drop_scans", "outpath"],
-#         function=id_outliers_fn),
-#         name="id_outliers_node"
-#     )
-#
-#     wf.connect(inputspec, 'dwi_file', id_outliers_node, 'dwi_file')
-#     wf.connect(inputspec, 'slice_outlier_threshold', id_outliers_node, 'threshold')
-#
-#     wf.connect(prep, "fsl_eddy.out_outlier_report",
-#                id_outliers_node, "outlier_report")
-#
-#     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-#     wf.connect(prep, "outputnode.out_file", fslroi, "in_file")
-#
-#     bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="coreg",
-#                                   out_fsl_file=True,
-#                                   # subjects_dir=subjects_dir,
-#                                   epi_mask=True),
-#                     name="bbreg")
-#     bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
-#     wf.connect(fslroi, "roi_file", bbreg, "source_file")
-#     wf.connect(inputspec, 'subjects_dir', bbreg, 'subjects_dir')
-#
-#     def drop_outliers_fn(in_file, in_bval, in_bvec, drop_scans):
-#         """Drop outlier volumes from dwi file
-#         Parameters
-#         ----------
-#         in_file: string
-#             Path to nii dwi file to drop outlier volumes from
-#         in_bval: string
-#             Path to bval file to drop outlier volumes from
-#         in_bvec: string
-#             Path to bvec file to drop outlier volumes from
-#         drop_scans: numpy.ndarray
-#             List of scan indices to drop
-#         Returns
-#         -------
-#         out_file: string
-#             Path to "thinned" output dwi file
-#         out_bval: string
-#             Path to "thinned" output bval file
-#         out_bvec: string
-#             Path to "thinned" output bvec file
-#         """
-#         import nibabel as nib
-#         import numpy as np
-#         import os.path as op
-#         from nipype.utils.filemanip import fname_presuffix
-#
-#         img = nib.load(op.abspath(in_file))
-#         img_data = img.get_data()
-#         img_data_thinned = np.delete(img_data,
-#                                      drop_scans,
-#                                      axis=3)
-#         if isinstance(img, nib.nifti1.Nifti1Image):
-#             img_thinned = nib.Nifti1Image(img_data_thinned.astype(np.float64),
-#                                           img.affine,
-#                                           header=img.header)
-#         elif isinstance(img, nib.nifti2.Nifti2Image):
-#             img_thinned = nib.Nifti2Image(img_data_thinned.astype(np.float64),
-#                                           img.affine,
-#                                           header=img.header)
-#         else:
-#             raise TypeError("in_file does not contain Nifti image datatype.")
-#
-#         out_file = fname_presuffix(in_file, suffix="_thinned", newpath=op.abspath('.'))
-#         nib.save(img_thinned, op.abspath(out_file))
-#
-#         bval = np.loadtxt(in_bval)
-#         bval_thinned = np.delete(bval, drop_scans, axis=0)
-#         out_bval = fname_presuffix(in_bval, suffix="_thinned", newpath=op.abspath('.'))
-#         np.savetxt(out_bval, bval_thinned)
-#
-#         bvec = np.loadtxt(in_bvec)
-#         bvec_thinned = np.delete(bvec, drop_scans, axis=1)
-#         out_bvec = fname_presuffix(in_bvec, suffix="_thinned", newpath=op.abspath('.'))
-#         np.savetxt(out_bvec, bvec_thinned)
-#
-#         return out_file, out_bval, out_bvec
-#
-#     drop_outliers_node = pe.Node(niu.Function(
-#         input_names=["in_file", "in_bval", "in_bvec", "drop_scans"],
-#         output_names=["out_file", "out_bval", "out_bvec"],
-#         function=drop_outliers_fn),
-#         name="drop_outliers_node"
-#     )
-#
-#     # Align the output of drop_outliers_node & also the eddy corrected version to the anatomical space
-#     # without resampling. and then for aparc+aseg & the mask, resample to the larger voxel size of the B0 image from
-#     # fslroi. Also we need to apply the transformation to both bvecs (dropped & eddied) and I think we can just load
-#     # the affine from bbreg (sio.loadmat) and np.dot(coord, aff) for each coord in bvec
-#
-#     def get_orig(subjects_dir, sub='freesurfer'):
-#         import os.path as op
-#         return op.join(subjects_dir, sub, "mri", "orig.mgz")
-#
-#     def get_aparc_aseg(subjects_dir, sub='freesurfer'):
-#         import os.path as op
-#         return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
-#
-#     # transform the dropped volume version to anat space w/ out resampling
-#     voltransform = pe.Node(fs.ApplyVolTransform(no_resample=True),
-#                            iterfield=['source_file', 'reg_file'],
-#                            name='transform')
-#
-#     wf.connect(inputspec, 'subjects_dir', voltransform, 'subjects_dir')
-#     wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), voltransform, 'target_file')
-#     wf.connect(prep, "outputnode.out_file", voltransform, "source_file")
-#     wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
-#
-#     def apply_transform_to_bvecs_fn(bvec_file, reg_mat_file):
-#         import numpy as np
-#         import nipype.utils.filemanip as fm
-#         import os
-#
-#         aff = np.loadtxt(reg_mat_file)
-#         bvecs = np.loadtxt(bvec_file)
-#         bvec_trans = []
-#         for bvec in bvecs.T:
-#             coord = np.hstack((bvec, [1]))
-#             coord_trans = np.dot(coord, aff)[:-1]
-#             bvec_trans.append(coord_trans)
-#         out_bvec = fm.fname_presuffix(bvec_file, suffix="anat_space", newpath=os.path.abspath('.'))
-#         np.savetxt(out_bvec, np.asarray(bvec_trans).T)
-#         return out_bvec
-#
-#     apply_transform_to_bvecs_node = pe.Node(niu.Function(input_names=['bvec_file', 'reg_mat_file'],
-#                                                          output_names=['out_bvec'],
-#                                                          function=apply_transform_to_bvecs_fn),
-#                                             name="applyTransformToBvecs")
-#     wf.connect(bbreg, 'out_fsl_file', apply_transform_to_bvecs_node, 'reg_mat_file')
-#     wf.connect(prep, 'outputnode.out_bvec', apply_transform_to_bvecs_node, 'bvec_file')
-#
-#     # ok cool, now lets do the thresholding.
-#
-#     wf.connect(id_outliers_node, "drop_scans", drop_outliers_node, "drop_scans")
-#     wf.connect(voltransform, "transformed_file", drop_outliers_node, "in_file")
-#     wf.connect(inputspec, 'bval_file', drop_outliers_node, 'in_bval')
-#     wf.connect(apply_transform_to_bvecs_node, "out_bvec", drop_outliers_node, "in_bvec")
-#
-#     # lets compute the tensor on both the dropped volume scan
-#     # and also the original, eddy corrected one.
-#     get_tensor = pe.Node(dipy.DTI(), name="dipy_tensor")
-#     wf.connect(drop_outliers_node, "out_file", get_tensor, "in_file")
-#     wf.connect(drop_outliers_node, "out_bval", get_tensor, "in_bval")
-#     wf.connect(drop_outliers_node, "out_bvec", get_tensor, "in_bvec")
-#
-#     get_tensor_eddy = get_tensor.clone('dipy_tensor_eddy')
-#     wf.connect(voltransform, 'transformed_file', get_tensor_eddy, "in_file")
-#     wf.connect(apply_transform_to_bvecs_node, 'out_bvec', get_tensor_eddy, "in_bvec")
-#     wf.connect(inputspec, 'bval_file', get_tensor_eddy, 'in_bval')
-#
-#     # AK: What is this, some vestigal node from a previous workflow?
-#     # I'm not sure why the tensor gets scaled. but i guess lets scale it for
-#     # both the dropped & eddy corrected versions.
-#     scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
-#     scale_tensor.inputs.operation = 'mul'
-#     scale_tensor.inputs.operand_value = 1000
-#     wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
-#
-#     scale_tensor_eddy = scale_tensor.clone('scale_tensor_eddy')
-#     wf.connect(get_tensor_eddy, 'out_file', scale_tensor_eddy, 'in_file')
-#
-#     # OK now that anatomical stuff (segmentation & mask)
-#     # We'll need:
-#     # 1. the B0 image in anat space (fslroi the 'transformed file' of voltransform
-#     # 2. the aparc aseg resampled-like the B0 image (mri_convert)
-#     # 3. the resample aparc_aseg binarized to be the mask image.
-#
-#     def binarize_aparc(aparc_aseg):
-#         import nibabel as nib
-#         from nipype.utils.filemanip import fname_presuffix
-#         import os.path as op
-#
-#         img = nib.load(aparc_aseg)
-#         data, aff = img.get_data(), img.affine
-#         outfile = fname_presuffix(
-#             aparc_aseg, suffix="bin.nii.gz",
-#             newpath=op.abspath("."), use_ext=False
-#         )
-#         nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
-#         return outfile
-#
-#     create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
-#                                        output_names=["outfile"],
-#                                        function=binarize_aparc),
-#                           name="bin_aparc")
-#
-#     get_b0_anat = fslroi.clone('get_b0_anat')
-#     wf.connect(voltransform, 'transformed_file', get_b0_anat, 'in_file')
-#
-#     # reslice the anat-space aparc+aseg to the DWI resolution
-#     reslice_to_dwi = pe.Node(fs.MRIConvert(resample_type="nearest"),
-#                              name="reslice_to_dwi")
-#     wf.connect(get_b0_anat, 'roi_file', reslice_to_dwi, 'reslice_like')
-#     wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), reslice_to_dwi, 'in_file')
-#
-#     # also reslice the orig i suppose
-#     reslice_orig_to_dwi = reslice_to_dwi.clone('resliceT1wToDwi')
-#     wf.connect(inputspec, ('subjects_dir', get_orig), reslice_orig_to_dwi, 'in_file')
-#     # reslice_orig_to_dwi.inputs.in_file = get_orig(subjects_dir, 'freesurfer')
-#     reslice_orig_to_dwi.inputs.out_type = 'niigz'
-#     wf.connect(get_b0_anat, 'roi_file', reslice_orig_to_dwi, 'reslice_like')
-#
-#     # we assume the freesurfer is the output of BIDS
-#     # so the freesurfer output is in /path/to/derivatives/sub-whatever/freesurfer
-#     # which means the subject_dir is /path/to/derivatives/sub-whatever
-#     # reslice_to_dwi.inputs.in_file = get_aparc_aseg(subjects_dir, 'freesurfer')
-#
-#     # now we have a nice aparc+aseg still in anat space but resliced like the dwi file
-#     # lets create a mask file from it.
-#
-#     wf.connect(reslice_to_dwi, 'out_file', create_mask, 'aparc_aseg')
-#
-#     # save all the things
-#     datasink = pe.Node(nio.DataSink(), name="sinker")
-#     wf.connect(inputspec, 'out_dir', datasink, 'base_directory')
-#     wf.connect(inputspec, 'subject_id', datasink, 'container')
-#
-#     wf.connect(drop_outliers_node, "out_file", datasink, "dmriprep.dwi.@thinned")
-#     wf.connect(drop_outliers_node, "out_bval", datasink, "dmriprep.dwi.@bval_thinned")
-#     wf.connect(drop_outliers_node, "out_bvec", datasink, "dmriprep.dwi.@bvec_thinned")
-#
-#     # eddy corrected files
-#     wf.connect(prep, "outputnode.out_file", datasink, "dmriprep.dwi_eddy.@corrected")
-#     wf.connect(prep, "outputnode.out_bvec", datasink, "dmriprep.dwi_eddy.@rotated")
-#     wf.connect(inputspec, 'bval_file', datasink, 'dmriprep.dwi_eddy.@bval')
-#
-#     # all the eddy stuff except the corrected files
-#     wf.connect(prep, "fsl_eddy.out_movement_rms",
-#                datasink, "dmriprep.qc.@eddyparamsrms")
-#     wf.connect(prep, "fsl_eddy.out_outlier_report",
-#                datasink, "dmriprep.qc.@eddyparamsreport")
-#     wf.connect(prep, "fsl_eddy.out_restricted_movement_rms",
-#                datasink, "dmriprep.qc.@eddyparamsrestrictrms")
-#     wf.connect(prep, "fsl_eddy.out_shell_alignment_parameters",
-#                datasink, "dmriprep.qc.@eddyparamsshellalign")
-#     wf.connect(prep, "fsl_eddy.out_parameter",
-#                datasink, "dmriprep.qc.@eddyparams")
-#     wf.connect(prep, "fsl_eddy.out_cnr_maps",
-#                datasink, "dmriprep.qc.@eddycndr")
-#     wf.connect(prep, "fsl_eddy.out_residuals",
-#                datasink, "dmriprep.qc.@eddyresid")
-#
-#     # the file that told us which volumes to drop
-#     wf.connect(id_outliers_node, "outpath", datasink, "dmriprep.qc.@droppedscans")
-#
-#     # the tensors of the dropped volumes dwi
-#     wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
-#     wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
-#     wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
-#     wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
-#     wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
-#     wf.connect(get_tensor, "color_fa_file", datasink, "dmriprep.dti.@colorfa")
-#     wf.connect(scale_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
-#
-#     # the tensors of the eddied volumes dwi
-#     wf.connect(get_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@tensor")
-#     wf.connect(get_tensor_eddy, "fa_file", datasink, "dmriprep.dti_eddy.@fa")
-#     wf.connect(get_tensor_eddy, "md_file", datasink, "dmriprep.dti_eddy.@md")
-#     wf.connect(get_tensor_eddy, "ad_file", datasink, "dmriprep.dti_eddy.@ad")
-#     wf.connect(get_tensor_eddy, "rd_file", datasink, "dmriprep.dti_eddy.@rd")
-#     wf.connect(get_tensor_eddy, "color_fa_file", datasink, "dmriprep.dti_eddy.@colorfa")
-#     wf.connect(scale_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@scaled_tensor")
-#
-#     # all the eddy_quad stuff
-#     wf.connect(eddy_quad, 'qc_json', datasink, "dmriprep.qc.@eddyquad_json")
-#     wf.connect(eddy_quad, 'qc_pdf', datasink, "dmriprep.qc.@eddyquad_pdf")
-#     wf.connect(eddy_quad, 'avg_b_png', datasink, "dmriprep.qc.@eddyquad_bpng")
-#     wf.connect(eddy_quad, 'avg_b0_pe_png',
-#                datasink, "dmriprep.qc.@eddyquad_b0png")
-#     wf.connect(eddy_quad, 'cnr_png', datasink, "dmriprep.qc.@eddyquad_cnr")
-#     wf.connect(eddy_quad, 'vdm_png', datasink, "dmriprep.qc.@eddyquad_vdm")
-#     wf.connect(eddy_quad, 'residuals', datasink, 'dmriprep.qc.@eddyquad_resid')
-#
-#     # anatomical registration stuff
-#     wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
-#     wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
-#     wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
-#
-#     # anatomical files resliced
-#     wf.connect(reslice_to_dwi, 'out_file', datasink, 'dmriprep.anat.@segmentation')
-#     wf.connect(create_mask, 'outfile', datasink, 'dmriprep.anat.@mask')
-#     wf.connect(reslice_orig_to_dwi, 'out_file', datasink, 'dmriprep.anat.@T1w')
-#
-#     def report_fn(dwi_corrected_file, eddy_rms, eddy_report,
-#                   color_fa_file, anat_mask_file, outlier_indices,
-#                   eddy_qc_file):
-#         from dmriprep.qc import create_report_json
-#
-#         report = create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
-#                                     color_fa_file, anat_mask_file, outlier_indices,
-#                                     eddy_qc_file)
-#         return report
-#
-#     report_node = pe.Node(niu.Function(
-#         input_names=['dwi_corrected_file', 'eddy_rms',
-#                      'eddy_report', 'color_fa_file',
-#                      'anat_mask_file', 'outlier_indices', 'eddy_qc_file'],
-#         output_names=['report'],
-#         function=report_fn
-#     ), name="reportJSON")
-#
-#     # for the report, lets show the eddy corrected (full volume) image
-#     wf.connect(voltransform, "transformed_file", report_node, 'dwi_corrected_file')
-#     wf.connect(eddy_quad, 'qc_json', report_node, 'eddy_qc_file')
-#
-#     # add the rms movement output from eddy
-#     wf.connect(prep, "fsl_eddy.out_movement_rms", report_node, 'eddy_rms')
-#     wf.connect(prep, "fsl_eddy.out_outlier_report", report_node, 'eddy_report')
-#     wf.connect(id_outliers_node, 'drop_scans', report_node, 'outlier_indices')
-#
-#     # the mask file to check our registration, and the colorFA file go in the report
-#     wf.connect(create_mask, "outfile", report_node, 'anat_mask_file')
-#     wf.connect(get_tensor, "color_fa_file", report_node, 'color_fa_file')
-#
-#     # save that report!
-#     wf.connect(report_node, 'report', datasink, 'dmriprep.report.@report')
-#
-#     # this part is done last, to get the filenames *just right*
-#     # its super annoying.
-#     def name_files_nicely(dwi_file, subject_id):
-#         import os.path as op
-#
-#         dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
-#         substitutions = [
-#             ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
-#             ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
-#             ("motion_parameters.par", dwi_fname + ".motion.txt"),
-#             ("_rotated.bvec", ".bvec"),
-#             ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
-#             ("vol0000_flirt_merged", dwi_fname),
-#             ("_roi_bbreg_freesurfer", "_register"),
-#             ("dwi/eddy_corrected", "dwi/%s" % dwi_fname),
-#             ("dti/eddy_corrected", "dti/%s" % dwi_fname.replace("_dwi", "")),
-#             ("reg/eddy_corrected", "reg/%s" % dwi_fname.replace("_dwi", "")),
-#             ("aparc+aseg_outbin", dwi_fname.replace("_dwi", "_mask")),
-#             ("aparc+aseg_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
-#             ("art.eddy_corrected_outliers", dwi_fname.replace("dwi", "outliers")),
-#             ("color_fa", "colorfa"),
-#             ("orig_out", dwi_fname.replace("_dwi", "_T1w")),
-#             ("stats.eddy_corrected", dwi_fname.replace("dwi", "artStats")),
-#             ("eddy_corrected.eddy_parameters", dwi_fname + ".eddy_parameters"),
-#             ("qc/eddy_corrected", "qc/" + dwi_fname),
-#             ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(subject_id)),
-#             ("_rotatedanat_space_thinned", ""),
-#             ("_thinned", ""),
-#             ("eddy_corrected", dwi_fname),
-#             ("_warped", ""),
-#             ("_maths", "_scaled"),
-#             ("dropped_scans", dwi_fname.replace("_dwi", "_dwi_dropped_scans")),
-#             ("report.json", dwi_fname.replace("_dwi", "_dwi_report.json"))
-#         ]
-#         return substitutions
-#
-#     node_name_files_nicely = pe.Node(niu.Function(input_names=['dwi_file', 'subject_id'],
-#                                                   output_names=['substitutions'],
-#                                                   function=name_files_nicely),
-#                                      name="name_files_nicely")
-#     wf.connect(inputspec, 'dwi_file', node_name_files_nicely, 'dwi_file')
-#     wf.connect(inputspec, 'subject_id', node_name_files_nicely, 'subject_id')
-#     wf.connect(node_name_files_nicely, 'substitutions', datasink, 'substitutions')
-#
-#     return wf

From b75c5d62d7cfc1533b027df3d5ba3d5af348546e Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Mon, 24 Jun 2019 16:57:07 -0400
Subject: [PATCH 026/156] Added base files necessary for phdiff implementation

---
 dmriprep/interfaces/__init__.py       |   3 +
 dmriprep/interfaces/fmap.py           | 621 ++++++++++++++++++++++++++
 dmriprep/workflows/base.py            |   1 +
 dmriprep/workflows/dwi/base.py        |   2 +-
 dmriprep/workflows/fieldmap/base.py   |  74 ++-
 dmriprep/workflows/fieldmap/phdiff.py | 435 ++++++++++++++++++
 dmriprep/workflows/fieldmap/unwarp.py | 331 ++++++++++++++
 7 files changed, 1464 insertions(+), 3 deletions(-)
 create mode 100644 dmriprep/interfaces/__init__.py
 create mode 100644 dmriprep/interfaces/fmap.py
 create mode 100644 dmriprep/workflows/fieldmap/phdiff.py
 create mode 100644 dmriprep/workflows/fieldmap/unwarp.py

diff --git a/dmriprep/interfaces/__init__.py b/dmriprep/interfaces/__init__.py
new file mode 100644
index 00000000..0319100e
--- /dev/null
+++ b/dmriprep/interfaces/__init__.py
@@ -0,0 +1,3 @@
+#!/usr/bin/env python
+
+from .fmap import FieldEnhance, FieldToRadS, FieldToHz, Phasediff2Fieldmap, Phases2Fieldmap
diff --git a/dmriprep/interfaces/fmap.py b/dmriprep/interfaces/fmap.py
new file mode 100644
index 00000000..71c96cc2
--- /dev/null
+++ b/dmriprep/interfaces/fmap.py
@@ -0,0 +1,621 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
+# vi: set ft=python sts=4 ts=4 sw=4 et:
+"""
+Interfaces to deal with the various types of fieldmap sources
+
+    .. testsetup::
+
+        >>> tmpdir = getfixture('tmpdir')
+        >>> tmp = tmpdir.chdir() # changing to a temporary directory
+        >>> nb.Nifti1Image(np.zeros((90, 90, 60)), None, None).to_filename(
+        ...     tmpdir.join('epi.nii.gz').strpath)
+
+
+"""
+
+import numpy as np
+import nibabel as nb
+from nipype import logging
+from nipype.utils.filemanip import fname_presuffix
+from nipype.interfaces.base import (
+    BaseInterfaceInputSpec, TraitedSpec, File, isdefined, traits,
+    SimpleInterface, InputMultiObject)
+
+LOGGER = logging.getLogger('nipype.interface')
+
+
+class FieldEnhanceInputSpec(BaseInterfaceInputSpec):
+    in_file = File(exists=True, mandatory=True, desc='input fieldmap')
+    in_mask = File(exists=True, desc='brain mask')
+    in_magnitude = File(exists=True, desc='input magnitude')
+    unwrap = traits.Bool(False, usedefault=True, desc='run phase unwrap')
+    despike = traits.Bool(True, usedefault=True, desc='run despike filter')
+    bspline_smooth = traits.Bool(True, usedefault=True, desc='run 3D bspline smoother')
+    mask_erode = traits.Int(1, usedefault=True, desc='mask erosion iterations')
+    despike_threshold = traits.Float(0.2, usedefault=True, desc='mask erosion iterations')
+    num_threads = traits.Int(1, usedefault=True, nohash=True, desc='number of jobs')
+
+
+class FieldEnhanceOutputSpec(TraitedSpec):
+    out_file = File(desc='the output fieldmap')
+    out_unwrapped = File(desc='unwrapped fieldmap')
+
+
+class FieldEnhance(SimpleInterface):
+    """
+    The FieldEnhance interface wraps a workflow to massage the input fieldmap
+    and return it masked, despiked, etc.
+    """
+    input_spec = FieldEnhanceInputSpec
+    output_spec = FieldEnhanceOutputSpec
+
+    def _run_interface(self, runtime):
+        from scipy import ndimage as sim
+
+        fmap_nii = nb.load(self.inputs.in_file)
+        data = np.squeeze(fmap_nii.get_data().astype(np.float32))
+
+        # Despike / denoise (no-mask)
+        if self.inputs.despike:
+            data = _despike2d(data, self.inputs.despike_threshold)
+
+        mask = None
+        if isdefined(self.inputs.in_mask):
+            masknii = nb.load(self.inputs.in_mask)
+            mask = masknii.get_data().astype(np.uint8)
+
+            # Dilate mask
+            if self.inputs.mask_erode > 0:
+                struc = sim.iterate_structure(sim.generate_binary_structure(3, 2), 1)
+                mask = sim.binary_erosion(
+                    mask, struc,
+                    iterations=self.inputs.mask_erode
+                ).astype(np.uint8)  # pylint: disable=no-member
+
+        self._results['out_file'] = fname_presuffix(
+            self.inputs.in_file, suffix='_enh', newpath=runtime.cwd)
+        datanii = nb.Nifti1Image(data, fmap_nii.affine, fmap_nii.header)
+
+        if self.inputs.unwrap:
+            data = _unwrap(data, self.inputs.in_magnitude, mask)
+            self._results['out_unwrapped'] = fname_presuffix(
+                self.inputs.in_file, suffix='_unwrap', newpath=runtime.cwd)
+            nb.Nifti1Image(data, fmap_nii.affine, fmap_nii.header).to_filename(
+                self._results['out_unwrapped'])
+
+        if not self.inputs.bspline_smooth:
+            datanii.to_filename(self._results['out_file'])
+            return runtime
+        else:
+            from ..utils import bspline as fbsp
+            from statsmodels.robust.scale import mad
+
+            # Fit BSplines (coarse)
+            bspobj = fbsp.BSplineFieldmap(datanii, weights=mask,
+                                          njobs=self.inputs.num_threads)
+            bspobj.fit()
+            smoothed1 = bspobj.get_smoothed()
+
+            # Manipulate the difference map
+            diffmap = data - smoothed1.get_data()
+            sderror = mad(diffmap[mask > 0])
+            LOGGER.info('SD of error after B-Spline fitting is %f', sderror)
+            errormask = np.zeros_like(diffmap)
+            errormask[np.abs(diffmap) > (10 * sderror)] = 1
+            errormask *= mask
+
+            nslices = 0
+            try:
+                errorslice = np.squeeze(np.argwhere(errormask.sum(0).sum(0) > 0))
+                nslices = errorslice[-1] - errorslice[0]
+            except IndexError:  # mask is empty, do not refine
+                pass
+
+            if nslices > 1:
+                diffmapmsk = mask[..., errorslice[0]:errorslice[-1]]
+                diffmapnii = nb.Nifti1Image(
+                    diffmap[..., errorslice[0]:errorslice[-1]] * diffmapmsk,
+                    datanii.affine, datanii.header)
+
+                bspobj2 = fbsp.BSplineFieldmap(diffmapnii, knots_zooms=[24., 24., 4.],
+                                               njobs=self.inputs.num_threads)
+                bspobj2.fit()
+                smoothed2 = bspobj2.get_smoothed().get_data()
+
+                final = smoothed1.get_data().copy()
+                final[..., errorslice[0]:errorslice[-1]] += smoothed2
+            else:
+                final = smoothed1.get_data()
+
+            nb.Nifti1Image(final, datanii.affine, datanii.header).to_filename(
+                self._results['out_file'])
+
+        return runtime
+
+
+class FieldToRadSInputSpec(BaseInterfaceInputSpec):
+    in_file = File(exists=True, mandatory=True, desc='input fieldmap')
+    fmap_range = traits.Float(desc='range of input field map')
+
+
+class FieldToRadSOutputSpec(TraitedSpec):
+    out_file = File(desc='the output fieldmap')
+    fmap_range = traits.Float(desc='range of input field map')
+
+
+class FieldToRadS(SimpleInterface):
+    """
+    The FieldToRadS converts from arbitrary units to rad/s
+    """
+    input_spec = FieldToRadSInputSpec
+    output_spec = FieldToRadSOutputSpec
+
+    def _run_interface(self, runtime):
+        fmap_range = None
+        if isdefined(self.inputs.fmap_range):
+            fmap_range = self.inputs.fmap_range
+        self._results['out_file'], self._results['fmap_range'] = _torads(
+            self.inputs.in_file, fmap_range, newpath=runtime.cwd)
+        return runtime
+
+
+class FieldToHzInputSpec(BaseInterfaceInputSpec):
+    in_file = File(exists=True, mandatory=True, desc='input fieldmap')
+    range_hz = traits.Float(mandatory=True, desc='range of input field map')
+
+
+class FieldToHzOutputSpec(TraitedSpec):
+    out_file = File(desc='the output fieldmap')
+
+
+class FieldToHz(SimpleInterface):
+    """
+    The FieldToHz converts from arbitrary units to Hz
+    """
+    input_spec = FieldToHzInputSpec
+    output_spec = FieldToHzOutputSpec
+
+    def _run_interface(self, runtime):
+        self._results['out_file'] = _tohz(
+            self.inputs.in_file, self.inputs.range_hz, newpath=runtime.cwd)
+        return runtime
+
+
+class Phasediff2FieldmapInputSpec(BaseInterfaceInputSpec):
+    in_file = File(exists=True, mandatory=True, desc='input fieldmap')
+    metadata = traits.Dict(mandatory=True, desc='BIDS metadata dictionary')
+
+
+class Phasediff2FieldmapOutputSpec(TraitedSpec):
+    out_file = File(desc='the output fieldmap')
+
+
+class Phasediff2Fieldmap(SimpleInterface):
+    """
+    Convert a phase difference map into a fieldmap in Hz
+    """
+    input_spec = Phasediff2FieldmapInputSpec
+    output_spec = Phasediff2FieldmapOutputSpec
+
+    def _run_interface(self, runtime):
+        self._results['out_file'] = phdiff2fmap(
+            self.inputs.in_file,
+            _delta_te(self.inputs.metadata),
+            newpath=runtime.cwd)
+        return runtime
+
+
+class Phases2FieldmapInputSpec(BaseInterfaceInputSpec):
+    phase_files = InputMultiObject(
+        File(exists=True), mandatory=True, desc='list of phase1, phase2 files')
+    metadatas = traits.List(
+        traits.Dict, mandatory=True, desc='list of phase1, phase2 metadata dicts')
+
+
+class Phases2FieldmapOutputSpec(TraitedSpec):
+    out_file = File(desc='the output fieldmap')
+    phasediff_metadata = traits.Dict(desc='the phasediff metadata')
+
+
+class Phases2Fieldmap(SimpleInterface):
+    """
+    Convert a phase1, phase2 into a difference map
+    """
+    input_spec = Phases2FieldmapInputSpec
+    output_spec = Phases2FieldmapOutputSpec
+
+    def _run_interface(self, runtime):
+        # Get the echo times
+        fmap_file, merged_metadata = phases2fmap(self.inputs.phase_files, self.inputs.metadatas,
+                                                 newpath=runtime.cwd)
+        self._results['phasediff_metadata'] = merged_metadata
+        self._results['out_file'] = fmap_file
+        return runtime
+
+
+def _despike2d(data, thres, neigh=None):
+    """
+    despiking as done in FSL fugue
+    """
+
+    if neigh is None:
+        neigh = [-1, 0, 1]
+    nslices = data.shape[-1]
+
+    for k in range(nslices):
+        data2d = data[..., k]
+
+        for i in range(data2d.shape[0]):
+            for j in range(data2d.shape[1]):
+                vals = []
+                thisval = data2d[i, j]
+                for ii in neigh:
+                    for jj in neigh:
+                        try:
+                            vals.append(data2d[i + ii, j + jj])
+                        except IndexError:
+                            pass
+                vals = np.array(vals)
+                patch_range = vals.max() - vals.min()
+                patch_med = np.median(vals)
+
+                if (patch_range > 1e-6 and
+                        (abs(thisval - patch_med) / patch_range) > thres):
+                    data[i, j, k] = patch_med
+    return data
+
+
+def _unwrap(fmap_data, mag_file, mask=None):
+    from math import pi
+    from nipype.interfaces.fsl import PRELUDE
+    magnii = nb.load(mag_file)
+
+    if mask is None:
+        mask = np.ones_like(fmap_data, dtype=np.uint8)
+
+    fmapmax = max(abs(fmap_data[mask > 0].min()), fmap_data[mask > 0].max())
+    fmap_data *= pi / fmapmax
+
+    nb.Nifti1Image(fmap_data, magnii.affine).to_filename('fmap_rad.nii.gz')
+    nb.Nifti1Image(mask, magnii.affine).to_filename('fmap_mask.nii.gz')
+    nb.Nifti1Image(magnii.get_data(), magnii.affine).to_filename('fmap_mag.nii.gz')
+
+    # Run prelude
+    res = PRELUDE(phase_file='fmap_rad.nii.gz',
+                  magnitude_file='fmap_mag.nii.gz',
+                  mask_file='fmap_mask.nii.gz').run()
+
+    unwrapped = nb.load(res.outputs.unwrapped_phase_file).get_data() * (fmapmax / pi)
+    return unwrapped
+
+
+def get_ees(in_meta, in_file=None):
+    """
+    Calculate the *effective echo spacing* :math:`t_\\text{ees}`
+    for an input :abbr:`EPI (echo-planar imaging)` scan.
+
+
+    There are several procedures to calculate the effective
+    echo spacing. The basic one is that an ``EffectiveEchoSpacing``
+    field is set in the JSON sidecar. The following examples
+    use an ``'epi.nii.gz'`` file-stub which has 90 pixels in the
+    j-axis encoding direction.
+
+    >>> meta = {'EffectiveEchoSpacing': 0.00059,
+    ...         'PhaseEncodingDirection': 'j-'}
+    >>> get_ees(meta)
+    0.00059
+
+    If the *total readout time* :math:`T_\\text{ro}` (``TotalReadoutTime``
+    BIDS field) is provided, then the effective echo spacing can be
+    calculated reading the number of voxels :math:`N_\\text{PE}` along the
+    readout direction and the parallel acceleration
+    factor of the EPI
+
+      .. math ::
+
+           =  T_\\text{ro} \\,  (N_\\text{PE} / f_\\text{acc} - 1)^{-1}
+
+    where :math:`N_y` is the number of pixels along the phase-encoding direction
+    :math:`y`, and :math:`f_\\text{acc}` is the parallel imaging acceleration factor
+    (:abbr:`GRAPPA (GeneRalized Autocalibrating Partial Parallel Acquisition)`,
+    :abbr:`ARC (Autocalibrating Reconstruction for Cartesian imaging)`, etc.).
+
+    >>> meta = {'TotalReadoutTime': 0.02596,
+    ...         'PhaseEncodingDirection': 'j-',
+    ...         'ParallelReductionFactorInPlane': 2}
+    >>> get_ees(meta, in_file='epi.nii.gz')
+    0.00059
+
+    Some vendors, like Philips, store different parameter names
+    (see http://dbic.dartmouth.edu/pipermail/mrusers/attachments/\
+20141112/eb1d20e6/attachment.pdf):
+
+    >>> meta = {'WaterFatShift': 8.129,
+    ...         'MagneticFieldStrength': 3,
+    ...         'PhaseEncodingDirection': 'j-',
+    ...         'ParallelReductionFactorInPlane': 2}
+    >>> get_ees(meta, in_file='epi.nii.gz')
+    0.00041602630141921826
+
+    """
+
+    import nibabel as nb
+    from fmriprep.interfaces.fmap import _get_pe_index
+
+    # Use case 1: EES is defined
+    ees = in_meta.get('EffectiveEchoSpacing', None)
+    if ees is not None:
+        return ees
+
+    # All other cases require the parallel acc and npe (N vox in PE dir)
+    acc = float(in_meta.get('ParallelReductionFactorInPlane', 1.0))
+    npe = nb.load(in_file).shape[_get_pe_index(in_meta)]
+    etl = npe // acc
+
+    # Use case 2: TRT is defined
+    trt = in_meta.get('TotalReadoutTime', None)
+    if trt is not None:
+        return trt / (etl - 1)
+
+    # Use case 3 (philips scans)
+    wfs = in_meta.get('WaterFatShift', None)
+    if wfs is not None:
+        fstrength = in_meta['MagneticFieldStrength']
+        wfd_ppm = 3.4  # water-fat diff in ppm
+        g_ratio_mhz_t = 42.57  # gyromagnetic ratio for proton (1H) in MHz/T
+        wfs_hz = fstrength * wfd_ppm * g_ratio_mhz_t
+        return wfs / (wfs_hz * etl)
+
+    raise ValueError('Unknown effective echo-spacing specification')
+
+
+def get_trt(in_meta, in_file=None):
+    """
+    Calculate the *total readout time* for an input
+    :abbr:`EPI (echo-planar imaging)` scan.
+
+
+    There are several procedures to calculate the total
+    readout time. The basic one is that a ``TotalReadoutTime``
+    field is set in the JSON sidecar. The following examples
+    use an ``'epi.nii.gz'`` file-stub which has 90 pixels in the
+    j-axis encoding direction.
+
+    >>> meta = {'TotalReadoutTime': 0.02596}
+    >>> get_trt(meta)
+    0.02596
+
+    If the *effective echo spacing* :math:`t_\\text{ees}`
+    (``EffectiveEchoSpacing`` BIDS field) is provided, then the
+    total readout time can be calculated reading the number
+    of voxels along the readout direction :math:`T_\\text{ro}`
+    and the parallel acceleration factor of the EPI :math:`f_\\text{acc}`.
+
+      .. math ::
+
+          T_\\text{ro} = t_\\text{ees} \\, (N_\\text{PE} / f_\\text{acc} - 1)
+
+    >>> meta = {'EffectiveEchoSpacing': 0.00059,
+    ...         'PhaseEncodingDirection': 'j-',
+    ...         'ParallelReductionFactorInPlane': 2}
+    >>> get_trt(meta, in_file='epi.nii.gz')
+    0.02596
+
+    Some vendors, like Philips, store different parameter names:
+
+    >>> meta = {'WaterFatShift': 8.129,
+    ...         'MagneticFieldStrength': 3,
+    ...         'PhaseEncodingDirection': 'j-',
+    ...         'ParallelReductionFactorInPlane': 2}
+    >>> get_trt(meta, in_file='epi.nii.gz')
+    0.018721183563864822
+
+    """
+
+    # Use case 1: TRT is defined
+    trt = in_meta.get('TotalReadoutTime', None)
+    if trt is not None:
+        return trt
+
+    # All other cases require the parallel acc and npe (N vox in PE dir)
+    acc = float(in_meta.get('ParallelReductionFactorInPlane', 1.0))
+    npe = nb.load(in_file).shape[_get_pe_index(in_meta)]
+    etl = npe // acc
+
+    # Use case 2: TRT is defined
+    ees = in_meta.get('EffectiveEchoSpacing', None)
+    if ees is not None:
+        return ees * (etl - 1)
+
+    # Use case 3 (philips scans)
+    wfs = in_meta.get('WaterFatShift', None)
+    if wfs is not None:
+        fstrength = in_meta['MagneticFieldStrength']
+        wfd_ppm = 3.4  # water-fat diff in ppm
+        g_ratio_mhz_t = 42.57  # gyromagnetic ratio for proton (1H) in MHz/T
+        wfs_hz = fstrength * wfd_ppm * g_ratio_mhz_t
+        return wfs / wfs_hz
+
+    raise ValueError('Unknown total-readout time specification')
+
+
+def _get_pe_index(meta):
+    pe = meta['PhaseEncodingDirection']
+    try:
+        return {'i': 0, 'j': 1, 'k': 2}[pe[0]]
+    except KeyError:
+        raise RuntimeError('"%s" is an invalid PE string' % pe)
+
+
+def _torads(in_file, fmap_range=None, newpath=None):
+    """
+    Convert a field map to rad/s units
+
+    If fmap_range is None, the range of the fieldmap
+    will be automatically calculated.
+
+    Use fmap_range=0.5 to convert from Hz to rad/s
+    """
+    from math import pi
+    import nibabel as nb
+    from nipype.utils.filemanip import fname_presuffix
+
+    out_file = fname_presuffix(in_file, suffix='_rad', newpath=newpath)
+    fmapnii = nb.load(in_file)
+    fmapdata = fmapnii.get_data()
+
+    if fmap_range is None:
+        fmap_range = max(abs(fmapdata.min()), fmapdata.max())
+    fmapdata = fmapdata * (pi / fmap_range)
+    out_img = nb.Nifti1Image(fmapdata, fmapnii.affine, fmapnii.header)
+    out_img.set_data_dtype('float32')
+    out_img.to_filename(out_file)
+    return out_file, fmap_range
+
+
+def _tohz(in_file, range_hz, newpath=None):
+    """Convert a field map to Hz units"""
+    from math import pi
+    import nibabel as nb
+    from nipype.utils.filemanip import fname_presuffix
+
+    out_file = fname_presuffix(in_file, suffix='_hz', newpath=newpath)
+    fmapnii = nb.load(in_file)
+    fmapdata = fmapnii.get_data()
+    fmapdata = fmapdata * (range_hz / pi)
+    out_img = nb.Nifti1Image(fmapdata, fmapnii.affine, fmapnii.header)
+    out_img.set_data_dtype('float32')
+    out_img.to_filename(out_file)
+    return out_file
+
+
+def phdiff2fmap(in_file, delta_te, newpath=None):
+    r"""
+    Converts the input phase-difference map into a fieldmap in Hz,
+    using the eq. (1) of [Hutton2002]_:
+
+    .. math::
+
+        \Delta B_0 (\text{T}^{-1}) = \frac{\Delta \Theta}{2\pi\gamma \Delta\text{TE}}
+
+
+    In this case, we do not take into account the gyromagnetic ratio of the
+    proton (:math:`\gamma`), since it will be applied inside TOPUP:
+
+    .. math::
+
+        \Delta B_0 (\text{Hz}) = \frac{\Delta \Theta}{2\pi \Delta\text{TE}}
+
+    """
+    import math
+    import numpy as np
+    import nibabel as nb
+    from nipype.utils.filemanip import fname_presuffix
+    #  GYROMAG_RATIO_H_PROTON_MHZ = 42.576
+
+    out_file = fname_presuffix(in_file, suffix='_fmap', newpath=newpath)
+    image = nb.load(in_file)
+    data = (image.get_data().astype(np.float32) / (2. * math.pi * delta_te))
+    nii = nb.Nifti1Image(data, image.affine, image.header)
+    nii.set_data_dtype(np.float32)
+    nii.to_filename(out_file)
+    return out_file
+
+
+def phases2fmap(phase_files, metadatas, newpath=None):
+    """Calculates a phasediff from two phase images. Assumes monopolar
+    readout. """
+    import numpy as np
+    import nibabel as nb
+    from nipype.utils.filemanip import fname_presuffix
+    from copy import deepcopy
+
+    phasediff_file = fname_presuffix(phase_files[0], suffix='_phasediff', newpath=newpath)
+    echo_times = [meta.get("EchoTime") for meta in metadatas]
+    if None in echo_times or echo_times[0] == echo_times[1]:
+        raise RuntimeError()
+    # Determine the order of subtraction
+    short_echo_index = echo_times.index(min(echo_times))
+    long_echo_index = echo_times.index(max(echo_times))
+
+    short_phase_image = phase_files[short_echo_index]
+    long_phase_image = phase_files[long_echo_index]
+
+    image0 = nb.load(short_phase_image)
+    phase0 = image0.get_fdata()
+    image1 = nb.load(long_phase_image)
+    phase1 = image1.get_fdata()
+
+    def rescale_image(img):
+        if np.any(img < -128):
+            # This happens sometimes on 7T fieldmaps
+            LOGGER.info("Found negative values in phase image: rescaling")
+            imax = img.max()
+            imin = img.min()
+            scaled = 2 * ((img - imin) / (imax - imin) - 0.5)
+            return np.pi * scaled
+        mask = img > 0
+        imax = img.max()
+        imin = img.min()
+        max_check = imax - 4096
+        if np.abs(max_check) > 10 or np.abs(imin) > 10:
+            LOGGER.warning("Phase image may be scaled incorrectly: check results")
+        return mask * (img / 2048 * np.pi - np.pi)
+
+    # Calculate fieldmaps
+    rad0 = rescale_image(phase0)
+    rad1 = rescale_image(phase1)
+    a = np.cos(rad0)
+    b = np.sin(rad0)
+    c = np.cos(rad1)
+    d = np.sin(rad1)
+    fmap = -np.arctan2(b * c - a * d, a * c + b * d)
+
+    phasediff_nii = nb.Nifti1Image(fmap, image0.affine)
+    phasediff_nii.set_data_dtype(np.float32)
+    phasediff_nii.to_filename(phasediff_file)
+
+    merged_metadata = deepcopy(metadatas[0])
+    del merged_metadata['EchoTime']
+    merged_metadata['EchoTime1'] = float(echo_times[short_echo_index])
+    merged_metadata['EchoTime2'] = float(echo_times[long_echo_index])
+
+    return phasediff_file, merged_metadata
+
+
+def _delta_te(in_values, te1=None, te2=None):
+    r"""Read :math:`\Delta_\text{TE}` from BIDS metadata dict"""
+    if isinstance(in_values, float):
+        te2 = in_values
+        te1 = 0.
+
+    if isinstance(in_values, dict):
+        te1 = in_values.get('EchoTime1')
+        te2 = in_values.get('EchoTime2')
+
+        if not all((te1, te2)):
+            te2 = in_values.get('EchoTimeDifference')
+            te1 = 0
+
+    if isinstance(in_values, list):
+        te2, te1 = in_values
+        if isinstance(te1, list):
+            te1 = te1[1]
+        if isinstance(te2, list):
+            te2 = te2[1]
+
+    # For convienience if both are missing we should give one error about them
+    if te1 is None and te2 is None:
+        raise RuntimeError('EchoTime1 and EchoTime2 metadata fields not found. '
+                           'Please consult the BIDS specification.')
+    if te1 is None:
+        raise RuntimeError(
+            'EchoTime1 metadata field not found. Please consult the BIDS specification.')
+    if te2 is None:
+        raise RuntimeError(
+            'EchoTime2 metadata field not found. Please consult the BIDS specification.')
+
+    return abs(float(te2) - float(te1))
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 644a8d07..ddbb04fb 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -76,6 +76,7 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
         ds_inputspec.inputs.subject_id = subject_id
         ds_inputspec.inputs.session_id = session_id
         ds_inputspec.inputs.output_folder = output_dir
+        ds_inputspec.inputs.metadata = metadata
 
         wf_name = "sub_" + subject_id + "_ses_" + session_id + "_preproc_wf"
         full_wf = pe.Workflow(name=wf_name)
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 2c87bcaf..f89a650e 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -34,7 +34,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
         # fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
         fmap["metadata"] = layout.get_metadata(fmap["suffix"])
 
-    sdc_wf = init_sdc_prep_wf(fmaps, metadata)
+    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout)
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 3ec9e2a0..165bb7d5 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -3,7 +3,7 @@
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
-def init_sdc_prep_wf(fmaps, dwi_meta):
+def init_sdc_prep_wf(fmaps, dwi_meta, layout, omp_nthreads=1, fmap_bspline=False):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import utility as niu
 
@@ -11,7 +11,22 @@ def init_sdc_prep_wf(fmaps, dwi_meta):
 
     inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode")
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap"]), name="outputnode")
+    #outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap",]), name="outputnode")
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                "out_fmap",
+                "bold_ref",
+                "bold_mask",
+                "bold_ref_brain",
+                "out_warp",
+                "syn_bold_ref",
+                "method"
+            ]
+        ),
+        name="outputnode",
+    )
 
     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
     fmap = fmaps[0]
@@ -30,4 +45,59 @@ def init_sdc_prep_wf(fmaps, dwi_meta):
             ]
         )
 
+    if fmap['suffix'] in ('phasediff', 'phase'):
+        from .phdiff import init_phdiff_wf
+        fmap_estimator_wf = init_phdiff_wf(omp_nthreads=omp_nthreads,
+                                            phasetype=fmap['suffix'],
+                                            layout=layout)
+        if fmap['suffix'] == 'phasediff':
+            fmap_estimator_wf.inputs.inputnode.phasediff = fmap['phasediff']
+        elif fmap['suffix'] == 'phase':
+            # Check that fieldmap is not bipolar
+            fmap_polarity = fmap['metadata'].get('DiffusionScheme', None)
+            if fmap_polarity == 'Bipolar':
+                LOGGER.warning("Bipolar fieldmaps are not supported. Ignoring")
+                sdc_prep_wf.__postdesc__ = ""
+                outputnode.inputs.method = 'None'
+                sdc_prep_wf.connect([
+                    (inputnode, outputnode, [('bold_ref', 'bold_ref'),
+                                             ('bold_mask', 'bold_mask'),
+                                             ('bold_ref_brain', 'bold_ref_brain')]),
+                ])
+                return sdc_prep_wf
+            if fmap_polarity is None:
+                LOGGER.warning("Assuming phase images are Monopolar")
+
+            fmap_estimator_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
+
+        fmap_estimator_wf.inputs.inputnode.magnitude = [
+            fmap_ for key, fmap_ in sorted(fmap.items())
+            if key.startswith("magnitude")
+        ]
+
+        sdc_unwarp_wf = init_sdc_unwarp_wf(
+            omp_nthreads=omp_nthreads,
+            fmap_demean=fmap_demean,
+            debug=debug,
+            name='sdc_unwarp_wf')
+        sdc_unwarp_wf.inputs.inputnode.metadata = bold_meta
+
+        sdc_prep_wf.connect([
+            (inputnode, sdc_unwarp_wf, [
+                ('bold_ref', 'inputnode.in_reference'),
+                ('bold_ref_brain', 'inputnode.in_reference_brain'),
+                ('bold_mask', 'inputnode.in_mask')]),
+            (fmap_estimator_wf, sdc_unwarp_wf, [
+                ('outputnode.fmap', 'inputnode.fmap'),
+                ('outputnode.fmap_ref', 'inputnode.fmap_ref'),
+                ('outputnode.fmap_mask', 'inputnode.fmap_mask')]),
+        ])
+
+        sdc_prep_wf.connect([
+            (sdc_unwarp_wf, outputnode, [
+                ('outputnode.out_warp', 'out_warp'),
+                ('outputnode.out_reference', 'bold_ref'),
+                ('outputnode.out_reference_brain', 'bold_ref_brain'),
+                ('outputnode.out_mask', 'bold_mask')]),
+        ])
     return sdc_prep_wf
diff --git a/dmriprep/workflows/fieldmap/phdiff.py b/dmriprep/workflows/fieldmap/phdiff.py
new file mode 100644
index 00000000..82ff08ea
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/phdiff.py
@@ -0,0 +1,435 @@
+#!/usr/bin/env python
+
+"""
+.. _sdc_phasediff :
+Phase-difference B0 estimation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The field inhomogeneity inside the scanner (fieldmap) is proportional to the
+phase drift between two subsequent :abbr:`GRE (gradient recall echo)`
+sequence.
+Fieldmap preprocessing workflow for fieldmap data structure
+8.9.1 in BIDS 1.0.0: one phase diff and at least one magnitude image
+8.9.2 in BIDS 1.0.0: two phases and at least one magnitude image
+"""
+
+from nipype.interfaces import ants, fsl, utility as niu
+from nipype.pipeline import engine as pe
+from nipype.workflows.dmri.fsl.utils import siemens2rads, demean_image, \
+    cleanup_edge_pipeline
+#from niworkflows.engine.workflows import LiterateWorkflow as Workflow
+#from niworkflows.interfaces.bids import ReadSidecarJSON
+#from niworkflows.interfaces.images import IntraModalMerge
+#from niworkflows.interfaces.masks import BETRPT
+
+from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
+
+def init_phdiff_wf(omp_nthreads, layout, phasetype='phasediff', name='phdiff_wf'):
+    """
+    Estimates the fieldmap using a phase-difference image and one or more
+    magnitude images corresponding to two or more :abbr:`GRE (Gradient Echo sequence)`
+    acquisitions. The `original code was taken from nipype
+    <https://github.com/nipy/nipype/blob/master/nipype/workflows/dmri/fsl/artifacts.py#L514>`_.
+    .. workflow ::
+        :graph2use: orig
+        :simple_form: yes
+        from fmriprep.workflows.fieldmap.phdiff import init_phdiff_wf
+        wf = init_phdiff_wf(omp_nthreads=1)
+    Outputs::
+      outputnode.fmap_ref - The average magnitude image, skull-stripped
+      outputnode.fmap_mask - The brain mask applied to the fieldmap
+      outputnode.fmap - The estimated fieldmap in Hz
+    """
+
+    workflow = pe.Workflow(name=name)
+    '''
+    workflow.__desc__ = """\
+A deformation field to correct for susceptibility distortions was estimated
+based on a field map that was co-registered to the BOLD reference,
+using a custom workflow of *fMRIPrep* derived from D. Greve's `epidewarp.fsl`
+[script](http://www.nmr.mgh.harvard.edu/~greve/fbirn/b0/epidewarp.fsl) and
+further improvements of HCP Pipelines [@hcppipelines].
+"""
+    '''
+    inputnode = pe.Node(niu.IdentityInterface(fields=['magnitude', 'phasediff']),
+                        name='inputnode')
+
+    outputnode = pe.Node(niu.IdentityInterface(
+        fields=['fmap', 'fmap_ref', 'fmap_mask']), name='outputnode')
+
+    # Merge input magnitude images
+    magmrg = pe.Node(IntraModalMerge(), name='magmrg')
+
+    # de-gradient the fields ("bias/illumination artifact")
+    n4 = pe.Node(ants.N4BiasFieldCorrection(dimension=3, copy_header=True),
+                 name='n4', n_procs=omp_nthreads)
+    #bet = pe.Node(BETRPT(generate_report=True, frac=0.6, mask=True),
+    #              name='bet')
+    bet = pe.Node(fsl.BET(frac=0.6, mask=True),
+                  name='bet')
+    ds_report_fmap_mask = pe.Node(DerivativesDataSink(
+        desc='brain', suffix='mask'), name='ds_report_fmap_mask',
+        mem_gb=0.01, run_without_submitting=True)
+    # uses mask from bet; outputs a mask
+    # dilate = pe.Node(fsl.maths.MathsCommand(
+    #     nan2zeros=True, args='-kernel sphere 5 -dilM'), name='MskDilate')
+
+    # FSL PRELUDE will perform phase-unwrapping
+    prelude = pe.Node(fsl.PRELUDE(), name='prelude')
+
+    denoise = pe.Node(fsl.SpatialFilter(operation='median', kernel_shape='sphere',
+                                        kernel_size=3), name='denoise')
+
+    demean = pe.Node(niu.Function(function=demean_image), name='demean')
+
+    cleanup_wf = cleanup_edge_pipeline(name="cleanup_wf")
+
+    compfmap = pe.Node(Phasediff2Fieldmap(), name='compfmap')
+    compfmap.inputs.metadata = metadata
+
+    # The phdiff2fmap interface is equivalent to:
+    # rad2rsec (using rads2radsec from nipype.workflows.dmri.fsl.utils)
+    # pre_fugue = pe.Node(fsl.FUGUE(save_fmap=True), name='ComputeFieldmapFUGUE')
+    # rsec2hz (divide by 2pi)
+
+    if phasetype == "phasediff":
+        # Read phasediff echo times
+        meta = pe.Node(ReadSidecarJSON(bids_validate=False), name='meta', mem_gb=0.01)
+
+        # phase diff -> radians
+        pha2rads = pe.Node(niu.Function(function=siemens2rads),
+                           name='pha2rads')
+        # Read phasediff echo times
+        meta = pe.Node(ReadSidecarJSON(), name='meta', mem_gb=0.01,
+                       run_without_submitting=True)
+        workflow.connect([
+            #(meta, compfmap, [('out_dict', 'metadata')]),
+            (inputnode, pha2rads, [('phasediff', 'in_file')]),
+            (pha2rads, prelude, [('out', 'phase_file')]),
+            (inputnode, ds_report_fmap_mask, [('phasediff', 'source_file')]),
+        ])
+
+    elif phasetype == "phase":
+        workflow.__desc__ += """\
+The phase difference used for unwarping was calculated using two separate phase measurements
+ [@pncprocessing].
+    """
+        # Special case for phase1, phase2 images
+        meta = pe.MapNode(ReadSidecarJSON(), name='meta', mem_gb=0.01,
+                          run_without_submitting=True, iterfield=['in_file'])
+        phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
+        workflow.connect([
+            (meta, phases2fmap, [('out_dict', 'metadatas')]),
+            (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
+            (phases2fmap, prelude, [('out_file', 'phase_file')]),
+            (phases2fmap, compfmap, [('phasediff_metadata', 'metadata')]),
+            (phases2fmap, ds_report_fmap_mask, [('out_file', 'source_file')])
+        ])
+
+    workflow.connect([
+        (inputnode, meta, [('phasediff', 'in_file')]),
+        (inputnode, magmrg, [('magnitude', 'in_files')]),
+        (magmrg, n4, [('out_avg', 'input_image')]),
+        (n4, prelude, [('output_image', 'magnitude_file')]),
+        (n4, bet, [('output_image', 'in_file')]),
+        (bet, prelude, [('mask_file', 'mask_file')]),
+        (prelude, denoise, [('unwrapped_phase_file', 'in_file')]),
+        (denoise, demean, [('out_file', 'in_file')]),
+        (demean, cleanup_wf, [('out', 'inputnode.in_file')]),
+        (bet, cleanup_wf, [('mask_file', 'inputnode.in_mask')]),
+        (cleanup_wf, compfmap, [('outputnode.out_file', 'in_file')]),
+        (compfmap, outputnode, [('out_file', 'fmap')]),
+        (bet, outputnode, [('mask_file', 'fmap_mask'),
+                           ('out_file', 'fmap_ref')]),
+        (bet, ds_report_fmap_mask, [('out_report', 'in_file')]),
+    ])
+
+    return workflow
+
+class ReadSidecarJSONInputSpec(BIDSBaseInputSpec):
+    in_file = File(exists=True, mandatory=True, desc='the input nifti file')
+
+
+class ReadSidecarJSONOutputSpec(BIDSInfoOutputSpec):
+    out_dict = traits.Dict()
+
+
+class ReadSidecarJSON(SimpleInterface):
+    input_spec = ReadSidecarJSONInputSpec
+    output_spec = ReadSidecarJSONOutputSpec
+    layout = None
+    _always_run = True
+
+    def __init__(self, fields=None, undef_fields=False, **inputs):
+        super(ReadSidecarJSON, self).__init__(**inputs)
+        self._fields = fields or []
+        if isinstance(self._fields, str):
+            self._fields = [self._fields]
+
+        self._undef_fields = undef_fields
+
+    def _outputs(self):
+        base = super(ReadSidecarJSON, self)._outputs()
+        if self._fields:
+            base = add_traits(base, self._fields)
+        return base
+
+    def _run_interface(self, runtime):
+        self.layout = self.inputs.bids_dir or self.layout
+        self.layout = _init_layout(self.inputs.in_file,
+                                   self.layout,
+                                   self.inputs.bids_validate)
+
+        # Fill in BIDS entities of the output ("*_id")
+        output_keys = list(BIDSInfoOutputSpec().get().keys())
+        params = self.layout.parse_file_entities(self.inputs.in_file)
+        self._results = {key: params.get(key.split('_')[0], Undefined)
+                         for key in output_keys}
+
+        # Fill in metadata
+        metadata = self.layout.get_metadata(self.inputs.in_file)
+        self._results['out_dict'] = metadata
+
+        # Set dynamic outputs if fields input is present
+        for fname in self._fields:
+            if not self._undef_fields and fname not in metadata:
+                raise KeyError(
+                    'Metadata field "%s" not found for file %s' % (
+                        fname, self.inputs.in_file))
+            self._results[fname] = metadata.get(fname, Undefined)
+        return runtime
+
+class IntraModalMergeInputSpec(BaseInterfaceInputSpec):
+    in_files = InputMultiPath(File(exists=True), mandatory=True,
+                              desc='input files')
+    hmc = traits.Bool(True, usedefault=True)
+    zero_based_avg = traits.Bool(True, usedefault=True)
+    to_ras = traits.Bool(True, usedefault=True)
+
+
+class IntraModalMergeOutputSpec(TraitedSpec):
+    out_file = File(exists=True, desc='merged image')
+    out_avg = File(exists=True, desc='average image')
+    out_mats = OutputMultiPath(File(exists=True), desc='output matrices')
+    out_movpar = OutputMultiPath(File(exists=True), desc='output movement parameters')
+
+
+class IntraModalMerge(SimpleInterface):
+    input_spec = IntraModalMergeInputSpec
+    output_spec = IntraModalMergeOutputSpec
+
+    def _run_interface(self, runtime):
+        in_files = self.inputs.in_files
+        if not isinstance(in_files, list):
+            in_files = [self.inputs.in_files]
+
+        # Generate output average name early
+        self._results['out_avg'] = fname_presuffix(self.inputs.in_files[0],
+                                                   suffix='_avg', newpath=runtime.cwd)
+
+        if self.inputs.to_ras:
+            in_files = [reorient(inf, newpath=runtime.cwd)
+                        for inf in in_files]
+
+        if len(in_files) == 1:
+            filenii = nb.load(in_files[0])
+            filedata = filenii.get_data()
+
+            # magnitude files can have an extra dimension empty
+            if filedata.ndim == 5:
+                sqdata = np.squeeze(filedata)
+                if sqdata.ndim == 5:
+                    raise RuntimeError('Input image (%s) is 5D' % in_files[0])
+                else:
+                    in_files = [fname_presuffix(in_files[0], suffix='_squeezed',
+                                                newpath=runtime.cwd)]
+                    nb.Nifti1Image(sqdata, filenii.affine,
+                                   filenii.header).to_filename(in_files[0])
+
+            if np.squeeze(nb.load(in_files[0]).get_data()).ndim < 4:
+                self._results['out_file'] = in_files[0]
+                self._results['out_avg'] = in_files[0]
+                # TODO: generate identity out_mats and zero-filled out_movpar
+                return runtime
+            in_files = in_files[0]
+        else:
+            magmrg = fsl.Merge(dimension='t', in_files=self.inputs.in_files)
+            in_files = magmrg.run().outputs.merged_file
+        mcflirt = fsl.MCFLIRT(cost='normcorr', save_mats=True, save_plots=True,
+                              ref_vol=0, in_file=in_files)
+        mcres = mcflirt.run()
+        self._results['out_mats'] = mcres.outputs.mat_file
+        self._results['out_movpar'] = mcres.outputs.par_file
+        self._results['out_file'] = mcres.outputs.out_file
+
+        hmcnii = nb.load(mcres.outputs.out_file)
+        hmcdat = hmcnii.get_data().mean(axis=3)
+        if self.inputs.zero_based_avg:
+            hmcdat -= hmcdat.min()
+
+        nb.Nifti1Image(
+            hmcdat, hmcnii.affine, hmcnii.header).to_filename(
+            self._results['out_avg'])
+
+        return runtime
+
+class DerivativesDataSinkInputSpec(DynamicTraitedSpec, BaseInterfaceInputSpec):
+    base_directory = traits.Directory(
+        desc='Path to the base directory for storing data.')
+    check_hdr = traits.Bool(True, usedefault=True, desc='fix headers of NIfTI outputs')
+    compress = traits.Bool(desc="force compression (True) or uncompression (False)"
+                                " of the output file (default: same as input)")
+    desc = Str('', usedefault=True, desc='Label for description field')
+    extra_values = traits.List(Str)
+    in_file = InputMultiObject(File(exists=True), mandatory=True,
+                               desc='the object to be saved')
+    keep_dtype = traits.Bool(False, usedefault=True, desc='keep datatype suffix')
+    meta_dict = traits.DictStrAny(desc='an input dictionary containing metadata')
+    source_file = File(exists=False, mandatory=True, desc='the input func file')
+    space = Str('', usedefault=True, desc='Label for space field')
+    suffix = Str('', usedefault=True, desc='suffix appended to source_file')
+
+
+class DerivativesDataSinkOutputSpec(TraitedSpec):
+    out_file = OutputMultiObject(File(exists=True, desc='written file path'))
+    out_meta = OutputMultiObject(File(exists=True, desc='written JSON sidecar path'))
+    compression = OutputMultiObject(
+        traits.Bool, desc='whether ``in_file`` was compressed/uncompressed '
+                          'or `it was copied directly.')
+    fixed_hdr = traits.List(traits.Bool, desc='whether derivative header was fixed')
+
+
+class DerivativesDataSink(SimpleInterface):
+    input_spec = DerivativesDataSinkInputSpec
+    output_spec = DerivativesDataSinkOutputSpec
+    out_path_base = "niworkflows"
+    _always_run = True
+
+    def __init__(self, allowed_entities=None, out_path_base=None, **inputs):
+        self._allowed_entities = allowed_entities or []
+
+        self._metadata = {}
+        self._static_traits = self.input_spec.class_editable_traits() + self._allowed_entities
+        for dynamic_input in set(inputs) - set(self._static_traits):
+            self._metadata[dynamic_input] = inputs.pop(dynamic_input)
+
+        super(DerivativesDataSink, self).__init__(**inputs)
+        if self._allowed_entities:
+            add_traits(self.inputs, self._allowed_entities)
+            for k in set(self._allowed_entities).intersection(list(inputs.keys())):
+                setattr(self.inputs, k, inputs[k])
+
+        self._results['out_file'] = []
+        if out_path_base:
+            self.out_path_base = out_path_base
+
+    def _run_interface(self, runtime):
+        if isdefined(self.inputs.meta_dict):
+            meta = self.inputs.meta_dict
+            # inputs passed in construction take priority
+            meta.update(self._metadata)
+            self._metadata = meta
+
+        src_fname, _ = _splitext(self.inputs.source_file)
+        src_fname, dtype = src_fname.rsplit('_', 1)
+        _, ext = _splitext(self.inputs.in_file[0])
+        if self.inputs.compress is True and not ext.endswith('.gz'):
+            ext += '.gz'
+        elif self.inputs.compress is False and ext.endswith('.gz'):
+            ext = ext[:-3]
+
+        m = BIDS_NAME.search(src_fname)
+
+        mod = Path(self.inputs.source_file).parent.name
+
+        base_directory = runtime.cwd
+        if isdefined(self.inputs.base_directory):
+            base_directory = self.inputs.base_directory
+
+        base_directory = Path(base_directory).resolve()
+        out_path = base_directory / self.out_path_base / \
+            '{subject_id}'.format(**m.groupdict())
+
+        if m.groupdict().get('session_id') is not None:
+            out_path = out_path / '{session_id}'.format(**m.groupdict())
+
+        out_path = out_path / '{}'.format(mod)
+        out_path.mkdir(exist_ok=True, parents=True)
+        base_fname = str(out_path / src_fname)
+
+        allowed_entities = {}
+        for key in self._allowed_entities:
+            value = getattr(self.inputs, key)
+            if value is not None and isdefined(value):
+                allowed_entities[key] = '_%s-%s' % (key, value)
+
+        formatbase = '{bname}{space}{desc}' + ''.join(
+            [allowed_entities.get(s, '') for s in self._allowed_entities])
+
+        formatstr = formatbase + '{extra}{suffix}{dtype}{ext}'
+        if len(self.inputs.in_file) > 1 and not isdefined(self.inputs.extra_values):
+            formatstr = formatbase + '{suffix}{i:04d}{dtype}{ext}'
+
+        space = '_space-{}'.format(self.inputs.space) if self.inputs.space else ''
+        desc = '_desc-{}'.format(self.inputs.desc) if self.inputs.desc else ''
+        suffix = '_{}'.format(self.inputs.suffix) if self.inputs.suffix else ''
+        dtype = '' if not self.inputs.keep_dtype else ('_%s' % dtype)
+
+        self._results['compression'] = []
+        self._results['fixed_hdr'] = [False] * len(self.inputs.in_file)
+
+        for i, fname in enumerate(self.inputs.in_file):
+            extra = ''
+            if isdefined(self.inputs.extra_values):
+                extra = '_{}'.format(self.inputs.extra_values[i])
+            out_file = formatstr.format(
+                bname=base_fname,
+                space=space,
+                desc=desc,
+                extra=extra,
+                suffix=suffix,
+                i=i,
+                dtype=dtype,
+                ext=ext,
+            )
+            self._results['out_file'].append(out_file)
+            self._results['compression'].append(_copy_any(fname, out_file))
+
+            is_nii = out_file.endswith('.nii') or out_file.endswith('.nii.gz')
+            if self.inputs.check_hdr and is_nii:
+                nii = nb.load(out_file)
+                if not isinstance(nii, (nb.Nifti1Image, nb.Nifti2Image)):
+                    # .dtseries.nii are CIfTI2, therefore skip check
+                    return runtime
+                hdr = nii.header.copy()
+                curr_units = tuple([None if u == 'unknown' else u
+                                    for u in hdr.get_xyzt_units()])
+                curr_codes = (int(hdr['qform_code']), int(hdr['sform_code']))
+
+                # Default to mm, use sec if data type is bold
+                units = (curr_units[0] or 'mm', 'sec' if dtype == '_bold' else None)
+                xcodes = (1, 1)  # Derivative in its original scanner space
+                if self.inputs.space:
+                    xcodes = (4, 4) if self.inputs.space in STANDARD_SPACES \
+                        else (2, 2)
+
+                if curr_codes != xcodes or curr_units != units:
+                    self._results['fixed_hdr'][i] = True
+                    hdr.set_qform(nii.affine, xcodes[0])
+                    hdr.set_sform(nii.affine, xcodes[1])
+                    hdr.set_xyzt_units(*units)
+
+                    # Rewrite file with new header
+                    nii.__class__(np.array(nii.dataobj), nii.affine, hdr).to_filename(
+                        out_file)
+
+        if len(self._results['out_file']) == 1:
+            meta_fields = self.inputs.copyable_trait_names()
+            self._metadata.update({
+                k: getattr(self.inputs, k)
+                for k in meta_fields if k not in self._static_traits})
+            if self._metadata:
+                sidecar = (Path(self._results['out_file'][0]).parent /
+                           ('%s.json' % _splitext(self._results['out_file'][0])[0]))
+                sidecar.write_text(dumps(self._metadata, sort_keys=True, indent=2))
+                self._results['out_meta'] = str(sidecar)
+        return runtime
diff --git a/dmriprep/workflows/fieldmap/unwarp.py b/dmriprep/workflows/fieldmap/unwarp.py
new file mode 100644
index 00000000..1456cf11
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/unwarp.py
@@ -0,0 +1,331 @@
+#!/usr/bin/env python
+
+"""
+.. _sdc_unwarp :
+
+Unwarping
+~~~~~~~~~
+
+.. topic :: Abbreviations
+
+    fmap
+        fieldmap
+    VSM
+        voxel-shift map -- a 3D nifti where displacements are in pixels (not mm)
+    DFM
+        displacements field map -- a nifti warp file compatible with ANTs (mm)
+
+"""
+
+import pkg_resources as pkgr
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import ants, fsl, utility as niu
+from niworkflows.engine.workflows import LiterateWorkflow as Workflow
+from niworkflows.interfaces import itk
+from niworkflows.interfaces.images import DemeanImage, FilledImageLike
+from niworkflows.interfaces.registration import ANTSApplyTransformsRPT, ANTSRegistrationRPT
+
+from ...interfaces import DerivativesDataSink
+from ...interfaces.fmap import get_ees as _get_ees, FieldToRadS
+from ..bold.util import init_enhance_and_skullstrip_bold_wf
+
+class LiterateWorkflow(pe.Workflow):
+    """Controls the setup and execution of a pipeline of processes."""
+
+    def __init__(self, name, base_dir=None):
+        """Create a workflow object.
+        Parameters
+        ----------
+        name : alphanumeric string
+            unique identifier for the workflow
+        base_dir : string, optional
+            path to workflow storage
+        """
+        super(LiterateWorkflow, self).__init__(name, base_dir)
+        self.__desc__ = None
+        self.__postdesc__ = None
+
+    def visit_desc(self):
+        """
+        Builds a citation boilerplate by visiting all workflows
+        appending their ``__desc__`` field
+        """
+        desc = []
+
+        if self.__desc__:
+            desc += [self.__desc__]
+
+        for node in pe.utils.topological_sort(self._graph)[0]:
+            if isinstance(node, LiterateWorkflow):
+                add_desc = node.visit_desc()
+                if add_desc not in desc:
+                    desc.append(add_desc)
+
+        if self.__postdesc__:
+            desc += [self.__postdesc__]
+
+        return ''.join(desc)
+
+def init_sdc_unwarp_wf(omp_nthreads, fmap_demean, debug, name='sdc_unwarp_wf'):
+    """
+    This workflow takes in a displacements fieldmap and calculates the corresponding
+    displacements field (in other words, an ANTs-compatible warp file).
+
+    It also calculates a new mask for the input dataset that takes into account the distortions.
+    The mask is restricted to the field of view of the fieldmap since outside of it corrections
+    could not be performed.
+
+    .. workflow ::
+        :graph2use: orig
+        :simple_form: yes
+
+        from fmriprep.workflows.fieldmap.unwarp import init_sdc_unwarp_wf
+        wf = init_sdc_unwarp_wf(omp_nthreads=8,
+                                fmap_demean=True,
+                                debug=False)
+
+
+    Inputs
+
+        in_reference
+            the reference image
+        in_reference_brain
+            the reference image (skull-stripped)
+        in_mask
+            a brain mask corresponding to ``in_reference``
+        metadata
+            metadata associated to the ``in_reference`` EPI input
+        fmap
+            the fieldmap in Hz
+        fmap_ref
+            the reference (anatomical) image corresponding to ``fmap``
+        fmap_mask
+            a brain mask corresponding to ``fmap``
+
+
+    Outputs
+
+        out_reference
+            the ``in_reference`` after unwarping
+        out_reference_brain
+            the ``in_reference`` after unwarping and skullstripping
+        out_warp
+            the corresponding :abbr:`DFM (displacements field map)` compatible with
+            ANTs
+        out_jacobian
+            the jacobian of the field (for drop-out alleviation)
+        out_mask
+            mask of the unwarped input file
+
+    """
+
+    workflow = Workflow(name=name)
+    inputnode = pe.Node(niu.IdentityInterface(
+        fields=['in_reference', 'in_reference_brain', 'in_mask', 'metadata',
+                'fmap_ref', 'fmap_mask', 'fmap']), name='inputnode')
+    outputnode = pe.Node(niu.IdentityInterface(
+        fields=['out_reference', 'out_reference_brain', 'out_warp', 'out_mask',
+                'out_jacobian']), name='outputnode')
+
+    # Register the reference of the fieldmap to the reference
+    # of the target image (the one that shall be corrected)
+    ants_settings = pkgr.resource_filename('fmriprep', 'data/fmap-any_registration.json')
+    if debug:
+        ants_settings = pkgr.resource_filename(
+            'fmriprep', 'data/fmap-any_registration_testing.json')
+    fmap2ref_reg = pe.Node(
+        ANTSRegistrationRPT(generate_report=True, from_file=ants_settings,
+                            output_inverse_warped_image=True, output_warped_image=True),
+        name='fmap2ref_reg', n_procs=omp_nthreads)
+
+    ds_report_reg = pe.Node(DerivativesDataSink(
+        desc='magnitude', suffix='bold'), name='ds_report_reg',
+        mem_gb=0.01, run_without_submitting=True)
+
+    # Map the VSM into the EPI space
+    fmap2ref_apply = pe.Node(ANTSApplyTransformsRPT(
+        generate_report=True, dimension=3, interpolation='BSpline', float=True),
+        name='fmap2ref_apply')
+
+    fmap_mask2ref_apply = pe.Node(ANTSApplyTransformsRPT(
+        generate_report=False, dimension=3, interpolation='MultiLabel',
+        float=True),
+        name='fmap_mask2ref_apply')
+
+    ds_report_vsm = pe.Node(DerivativesDataSink(
+        desc='fieldmap', suffix='bold'), name='ds_report_vsm',
+        mem_gb=0.01, run_without_submitting=True)
+
+    # Fieldmap to rads and then to voxels (VSM - voxel shift map)
+    torads = pe.Node(FieldToRadS(fmap_range=0.5), name='torads')
+
+    get_ees = pe.Node(niu.Function(function=_get_ees, output_names=['ees']), name='get_ees')
+
+    gen_vsm = pe.Node(fsl.FUGUE(save_unmasked_shift=True), name='gen_vsm')
+    # Convert the VSM into a DFM (displacements field map)
+    # or: FUGUE shift to ANTS warping.
+    vsm2dfm = pe.Node(itk.FUGUEvsm2ANTSwarp(), name='vsm2dfm')
+    jac_dfm = pe.Node(ants.CreateJacobianDeterminantImage(
+        imageDimension=3, outputImage='jacobian.nii.gz'), name='jac_dfm')
+
+    unwarp_reference = pe.Node(ANTSApplyTransformsRPT(dimension=3,
+                                                      generate_report=False,
+                                                      float=True,
+                                                      interpolation='LanczosWindowedSinc'),
+                               name='unwarp_reference')
+
+    fieldmap_fov_mask = pe.Node(FilledImageLike(dtype='uint8'), name='fieldmap_fov_mask')
+
+    fmap_fov2ref_apply = pe.Node(ANTSApplyTransformsRPT(
+        generate_report=False, dimension=3, interpolation='NearestNeighbor',
+        float=True),
+        name='fmap_fov2ref_apply')
+
+    apply_fov_mask = pe.Node(fsl.ApplyMask(), name="apply_fov_mask")
+
+    enhance_and_skullstrip_bold_wf = init_enhance_and_skullstrip_bold_wf(omp_nthreads=omp_nthreads,
+                                                                         pre_mask=True)
+
+    workflow.connect([
+        (inputnode, fmap2ref_reg, [('fmap_ref', 'moving_image')]),
+        (inputnode, fmap2ref_apply, [('in_reference', 'reference_image')]),
+        (fmap2ref_reg, fmap2ref_apply, [
+            ('composite_transform', 'transforms')]),
+        (inputnode, fmap_mask2ref_apply, [('in_reference', 'reference_image')]),
+        (fmap2ref_reg, fmap_mask2ref_apply, [
+            ('composite_transform', 'transforms')]),
+        (fmap2ref_apply, ds_report_vsm, [('out_report', 'in_file')]),
+        (inputnode, fmap2ref_reg, [('in_reference_brain', 'fixed_image')]),
+        (fmap2ref_reg, ds_report_reg, [('out_report', 'in_file')]),
+        (inputnode, fmap2ref_apply, [('fmap', 'input_image')]),
+        (inputnode, fmap_mask2ref_apply, [('fmap_mask', 'input_image')]),
+        (fmap2ref_apply, torads, [('output_image', 'in_file')]),
+        (inputnode, get_ees, [('in_reference', 'in_file'),
+                              ('metadata', 'in_meta')]),
+        (fmap_mask2ref_apply, gen_vsm, [('output_image', 'mask_file')]),
+        (get_ees, gen_vsm, [('ees', 'dwell_time')]),
+        (inputnode, gen_vsm, [(('metadata', _get_pedir_fugue), 'unwarp_direction')]),
+        (inputnode, vsm2dfm, [(('metadata', _get_pedir_bids), 'pe_dir')]),
+        (torads, gen_vsm, [('out_file', 'fmap_in_file')]),
+        (vsm2dfm, unwarp_reference, [('out_file', 'transforms')]),
+        (inputnode, unwarp_reference, [('in_reference', 'reference_image')]),
+        (inputnode, unwarp_reference, [('in_reference', 'input_image')]),
+        (vsm2dfm, outputnode, [('out_file', 'out_warp')]),
+        (vsm2dfm, jac_dfm, [('out_file', 'deformationField')]),
+        (inputnode, fieldmap_fov_mask, [('fmap_ref', 'in_file')]),
+        (fieldmap_fov_mask, fmap_fov2ref_apply, [('out_file', 'input_image')]),
+        (inputnode, fmap_fov2ref_apply, [('in_reference', 'reference_image')]),
+        (fmap2ref_reg, fmap_fov2ref_apply, [('composite_transform', 'transforms')]),
+        (fmap_fov2ref_apply, apply_fov_mask, [('output_image', 'mask_file')]),
+        (unwarp_reference, apply_fov_mask, [('output_image', 'in_file')]),
+        (apply_fov_mask, enhance_and_skullstrip_bold_wf, [('out_file', 'inputnode.in_file')]),
+        (fmap_mask2ref_apply, enhance_and_skullstrip_bold_wf,
+            [('output_image', 'inputnode.pre_mask')]),
+        (apply_fov_mask, outputnode, [('out_file', 'out_reference')]),
+        (enhance_and_skullstrip_bold_wf, outputnode, [
+            ('outputnode.mask_file', 'out_mask'),
+            ('outputnode.skull_stripped_file', 'out_reference_brain')]),
+        (jac_dfm, outputnode, [('jacobian_image', 'out_jacobian')]),
+    ])
+
+    if fmap_demean:
+        # Demean within mask
+        demean = pe.Node(DemeanImage(), name='demean')
+
+        workflow.connect([
+            (gen_vsm, demean, [('shift_out_file', 'in_file')]),
+            (fmap_mask2ref_apply, demean, [('output_image', 'in_mask')]),
+            (demean, vsm2dfm, [('out_file', 'in_file')]),
+        ])
+
+    else:
+        workflow.connect([
+            (gen_vsm, vsm2dfm, [('shift_out_file', 'in_file')]),
+        ])
+
+    return workflow
+
+
+def init_fmap_unwarp_report_wf(name='fmap_unwarp_report_wf', forcedsyn=False):
+    """
+    This workflow generates and saves a reportlet showing the effect of fieldmap
+    unwarping a BOLD image.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+        from fmriprep.workflows.fieldmap.unwarp import init_fmap_unwarp_report_wf
+        wf = init_fmap_unwarp_report_wf()
+
+    **Parameters**
+
+        name : str, optional
+            Workflow name (default: fmap_unwarp_report_wf)
+        forcedsyn : bool, optional
+            Whether SyN-SDC was forced.
+
+    **Inputs**
+
+        in_pre
+            Reference image, before unwarping
+        in_post
+            Reference image, after unwarping
+        in_seg
+            Segmentation of preprocessed structural image, including
+            gray-matter (GM), white-matter (WM) and cerebrospinal fluid (CSF)
+        in_xfm
+            Affine transform from T1 space to BOLD space (ITK format)
+
+    """
+    from niworkflows.interfaces import SimpleBeforeAfter
+    from niworkflows.interfaces.fixes import FixHeaderApplyTransforms as ApplyTransforms
+    from niworkflows.interfaces.images import extract_wm
+
+    DEFAULT_MEMORY_MIN_GB = 0.01
+
+    workflow = Workflow(name=name)
+
+    inputnode = pe.Node(niu.IdentityInterface(
+        fields=['in_pre', 'in_post', 'in_seg', 'in_xfm']), name='inputnode')
+
+    map_seg = pe.Node(ApplyTransforms(
+        dimension=3, float=True, interpolation='MultiLabel'),
+        name='map_seg', mem_gb=0.3)
+
+    sel_wm = pe.Node(niu.Function(function=extract_wm), name='sel_wm',
+                     mem_gb=DEFAULT_MEMORY_MIN_GB)
+
+    bold_rpt = pe.Node(SimpleBeforeAfter(), name='bold_rpt',
+                       mem_gb=0.1)
+    ds_report_sdc = pe.Node(
+        DerivativesDataSink(desc='sdc' if not forcedsyn else 'forcedsyn',
+                            suffix='bold'), name='ds_report_sdc',
+        mem_gb=DEFAULT_MEMORY_MIN_GB, run_without_submitting=True
+    )
+
+    workflow.connect([
+        (inputnode, bold_rpt, [('in_post', 'after'),
+                               ('in_pre', 'before')]),
+        (bold_rpt, ds_report_sdc, [('out_report', 'in_file')]),
+        (inputnode, map_seg, [('in_post', 'reference_image'),
+                              ('in_seg', 'input_image'),
+                              ('in_xfm', 'transforms')]),
+        (map_seg, sel_wm, [('output_image', 'in_seg')]),
+        (sel_wm, bold_rpt, [('out', 'wm_seg')]),
+    ])
+
+    return workflow
+
+
+# Helper functions
+# ------------------------------------------------------------
+
+
+def _get_pedir_bids(in_dict):
+    return in_dict['PhaseEncodingDirection']
+
+
+def _get_pedir_fugue(in_dict):
+    return in_dict['PhaseEncodingDirection'].replace('i', 'x').replace('j', 'y').replace('k', 'z')

From bf663f4d165fa5c76745df3905d94356855e4ce6 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Tue, 25 Jun 2019 15:52:32 -0400
Subject: [PATCH 027/156] Replaced metadata and output nodes in phdiff
 workflows

---
 dmriprep/workflows/fieldmap/base.py   |  6 +--
 dmriprep/workflows/fieldmap/phdiff.py | 75 +++++++++++++++++++--------
 2 files changed, 56 insertions(+), 25 deletions(-)

diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 165bb7d5..89d4a641 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -3,7 +3,7 @@
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
-def init_sdc_prep_wf(fmaps, dwi_meta, layout, omp_nthreads=1, fmap_bspline=False):
+def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import utility as niu
 
@@ -48,8 +48,8 @@ def init_sdc_prep_wf(fmaps, dwi_meta, layout, omp_nthreads=1, fmap_bspline=False
     if fmap['suffix'] in ('phasediff', 'phase'):
         from .phdiff import init_phdiff_wf
         fmap_estimator_wf = init_phdiff_wf(omp_nthreads=omp_nthreads,
-                                            phasetype=fmap['suffix'],
-                                            layout=layout)
+                                            phasetype=fmap['suffix'])
+        fmap_estimator_wf.inputs.inputnode.layout = layout
         if fmap['suffix'] == 'phasediff':
             fmap_estimator_wf.inputs.inputnode.phasediff = fmap['phasediff']
         elif fmap['suffix'] == 'phase':
diff --git a/dmriprep/workflows/fieldmap/phdiff.py b/dmriprep/workflows/fieldmap/phdiff.py
index 82ff08ea..2f5256c7 100644
--- a/dmriprep/workflows/fieldmap/phdiff.py
+++ b/dmriprep/workflows/fieldmap/phdiff.py
@@ -16,6 +16,12 @@
 from nipype.pipeline import engine as pe
 from nipype.workflows.dmri.fsl.utils import siemens2rads, demean_image, \
     cleanup_edge_pipeline
+from nipype.interfaces.base import (
+    traits, isdefined, Undefined,
+    TraitedSpec, BaseInterfaceInputSpec, DynamicTraitedSpec,
+    File, Directory, InputMultiObject, OutputMultiObject, Str,
+    SimpleInterface, InputMultiPath, OutputMultiPath
+)
 #from niworkflows.engine.workflows import LiterateWorkflow as Workflow
 #from niworkflows.interfaces.bids import ReadSidecarJSON
 #from niworkflows.interfaces.images import IntraModalMerge
@@ -23,7 +29,7 @@
 
 from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
 
-def init_phdiff_wf(omp_nthreads, layout, phasetype='phasediff', name='phdiff_wf'):
+def init_phdiff_wf(omp_nthreads, phasetype='phasediff', name='phdiff_wf'):
     """
     Estimates the fieldmap using a phase-difference image and one or more
     magnitude images corresponding to two or more :abbr:`GRE (Gradient Echo sequence)`
@@ -50,7 +56,7 @@ def init_phdiff_wf(omp_nthreads, layout, phasetype='phasediff', name='phdiff_wf'
 further improvements of HCP Pipelines [@hcppipelines].
 """
     '''
-    inputnode = pe.Node(niu.IdentityInterface(fields=['magnitude', 'phasediff']),
+    inputnode = pe.Node(niu.IdentityInterface(fields=['magnitude', 'phasediff', 'layout']),
                         name='inputnode')
 
     outputnode = pe.Node(niu.IdentityInterface(
@@ -66,9 +72,10 @@ def init_phdiff_wf(omp_nthreads, layout, phasetype='phasediff', name='phdiff_wf'
     #              name='bet')
     bet = pe.Node(fsl.BET(frac=0.6, mask=True),
                   name='bet')
-    ds_report_fmap_mask = pe.Node(DerivativesDataSink(
-        desc='brain', suffix='mask'), name='ds_report_fmap_mask',
-        mem_gb=0.01, run_without_submitting=True)
+    #ds_report_fmap_mask = pe.Node(DerivativesDataSink(
+    #    desc='brain', suffix='mask'), name='ds_report_fmap_mask',
+    #    mem_gb=0.01, run_without_submitting=True)
+
     # uses mask from bet; outputs a mask
     # dilate = pe.Node(fsl.maths.MathsCommand(
     #     nan2zeros=True, args='-kernel sphere 5 -dilM'), name='MskDilate')
@@ -84,7 +91,6 @@ def init_phdiff_wf(omp_nthreads, layout, phasetype='phasediff', name='phdiff_wf'
     cleanup_wf = cleanup_edge_pipeline(name="cleanup_wf")
 
     compfmap = pe.Node(Phasediff2Fieldmap(), name='compfmap')
-    compfmap.inputs.metadata = metadata
 
     # The phdiff2fmap interface is equivalent to:
     # rad2rsec (using rads2radsec from nipype.workflows.dmri.fsl.utils)
@@ -93,40 +99,60 @@ def init_phdiff_wf(omp_nthreads, layout, phasetype='phasediff', name='phdiff_wf'
 
     if phasetype == "phasediff":
         # Read phasediff echo times
-        meta = pe.Node(ReadSidecarJSON(bids_validate=False), name='meta', mem_gb=0.01)
+        #meta = pe.Node(ReadSidecarJSON(bids_validate=False), name='meta', mem_gb=0.01)
 
         # phase diff -> radians
         pha2rads = pe.Node(niu.Function(function=siemens2rads),
                            name='pha2rads')
         # Read phasediff echo times
-        meta = pe.Node(ReadSidecarJSON(), name='meta', mem_gb=0.01,
-                       run_without_submitting=True)
+        #meta = pe.Node(ReadSidecarJSON(bids_validate=False), name='meta', mem_gb=0.01,
+        #               run_without_submitting=True)
+
+        meta = pe.Node(
+            niu.Function(
+                input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
+            ),
+            name="meta",
+        )
+
         workflow.connect([
-            #(meta, compfmap, [('out_dict', 'metadata')]),
+            (meta, compfmap, [('out_dict', 'metadata')]),
             (inputnode, pha2rads, [('phasediff', 'in_file')]),
             (pha2rads, prelude, [('out', 'phase_file')]),
-            (inputnode, ds_report_fmap_mask, [('phasediff', 'source_file')]),
+            #(inputnode, ds_report_fmap_mask, [('phasediff', 'source_file')]),
         ])
 
     elif phasetype == "phase":
-        workflow.__desc__ += """\
-The phase difference used for unwarping was calculated using two separate phase measurements
- [@pncprocessing].
-    """
         # Special case for phase1, phase2 images
-        meta = pe.MapNode(ReadSidecarJSON(), name='meta', mem_gb=0.01,
-                          run_without_submitting=True, iterfield=['in_file'])
+        #meta = pe.MapNode(ReadSidecarJSON(), name='meta', mem_gb=0.01,
+        #                  run_without_submitting=True, iterfield=['in_file'])
+
+        meta = pe.Node(
+            niu.Function(
+                input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
+            ),
+            name="meta",
+        )
+
         phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
         workflow.connect([
             (meta, phases2fmap, [('out_dict', 'metadatas')]),
             (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
             (phases2fmap, prelude, [('out_file', 'phase_file')]),
             (phases2fmap, compfmap, [('phasediff_metadata', 'metadata')]),
-            (phases2fmap, ds_report_fmap_mask, [('out_file', 'source_file')])
+            #(phases2fmap, ds_report_fmap_mask, [('out_file', 'source_file')])
         ])
 
     workflow.connect([
-        (inputnode, meta, [('phasediff', 'in_file')]),
+        #(inputnode, meta, [('phasediff', 'in_file')]),
+        (
+            inputnode,
+            meta,
+            [
+                ('phasediff', 'in_file'),
+                ('layout', 'in_layout'),
+            ],
+        ),
         (inputnode, magmrg, [('magnitude', 'in_files')]),
         (magmrg, n4, [('out_avg', 'input_image')]),
         (n4, prelude, [('output_image', 'magnitude_file')]),
@@ -140,11 +166,15 @@ def init_phdiff_wf(omp_nthreads, layout, phasetype='phasediff', name='phdiff_wf'
         (compfmap, outputnode, [('out_file', 'fmap')]),
         (bet, outputnode, [('mask_file', 'fmap_mask'),
                            ('out_file', 'fmap_ref')]),
-        (bet, ds_report_fmap_mask, [('out_report', 'in_file')]),
+        #(bet, ds_report_fmap_mask, [('out_report', 'in_file')]),
     ])
 
     return workflow
 
+def get_metadata(in_file, in_layout):
+    out_dict = in_layout.get_metadata(in_file)
+    return out_dict
+'''
 class ReadSidecarJSONInputSpec(BIDSBaseInputSpec):
     in_file = File(exists=True, mandatory=True, desc='the input nifti file')
 
@@ -197,7 +227,7 @@ def _run_interface(self, runtime):
                         fname, self.inputs.in_file))
             self._results[fname] = metadata.get(fname, Undefined)
         return runtime
-
+'''
 class IntraModalMergeInputSpec(BaseInterfaceInputSpec):
     in_files = InputMultiPath(File(exists=True), mandatory=True,
                               desc='input files')
@@ -271,7 +301,7 @@ def _run_interface(self, runtime):
             self._results['out_avg'])
 
         return runtime
-
+'''
 class DerivativesDataSinkInputSpec(DynamicTraitedSpec, BaseInterfaceInputSpec):
     base_directory = traits.Directory(
         desc='Path to the base directory for storing data.')
@@ -433,3 +463,4 @@ def _run_interface(self, runtime):
                 sidecar.write_text(dumps(self._metadata, sort_keys=True, indent=2))
                 self._results['out_meta'] = str(sidecar)
         return runtime
+'''

From 978a802480a386244836e81e921274eb5ea3f13f Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 25 Jun 2019 16:38:08 -0400
Subject: [PATCH 028/156] update requirements for EddyQuad fix in nipype

---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 98f5fedd..6788228f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,7 +1,7 @@
 Click>=6.0
 dask==1.2.2
 dipy==0.16.0
-nipype==1.2.0
+nipype==1.2.1
 pandas==0.24.2
 parse==1.12.0
 tqdm==4.32.1

From 6589b4e59469b243cdf3e7f0627381050d724b99 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 25 Jun 2019 16:38:24 -0400
Subject: [PATCH 029/156] output into dmriprep folder

---
 dmriprep/workflows/dwi/datasink.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/dmriprep/workflows/dwi/datasink.py b/dmriprep/workflows/dwi/datasink.py
index 58500aae..af4455eb 100644
--- a/dmriprep/workflows/dwi/datasink.py
+++ b/dmriprep/workflows/dwi/datasink.py
@@ -31,7 +31,9 @@ def init_output_wf(subject_id, session_id, output_folder):
     def build_path(output_folder, subject_id, session_id):
         import os.path as op
 
-        return op.join(output_folder, "sub-" + subject_id, "ses-" + session_id, "dwi")
+        return op.join(
+            output_folder, "dmriprep", "sub-" + subject_id, "ses-" + session_id, "dwi"
+        )
 
     concat = pe.Node(
         niu.Function(

From afe56faab266ec669e2f2e9b03c17822b159893b Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Thu, 27 Jun 2019 18:39:53 -0400
Subject: [PATCH 030/156] fix denoise interface

---
 dmriprep/interfaces/__init__.py |   0
 dmriprep/interfaces/mrtrix.py   | 152 ++++++++++++++++++++++++++++++++
 2 files changed, 152 insertions(+)
 create mode 100644 dmriprep/interfaces/__init__.py
 create mode 100644 dmriprep/interfaces/mrtrix.py

diff --git a/dmriprep/interfaces/__init__.py b/dmriprep/interfaces/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/dmriprep/interfaces/mrtrix.py b/dmriprep/interfaces/mrtrix.py
new file mode 100644
index 00000000..9dc585c1
--- /dev/null
+++ b/dmriprep/interfaces/mrtrix.py
@@ -0,0 +1,152 @@
+#!/usr/bin/env python
+
+from __future__ import print_function, division, unicode_literals, absolute_import
+
+from nipype.interfaces.base import traits, TraitedSpec, File
+from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base
+
+
+class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):
+    in_file = File(
+        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+    )
+    mask = File(exists=True, argstr="-mask %s", position=1, desc="mask image")
+    extent = traits.Tuple(
+        (traits.Int, traits.Int, traits.Int),
+        argstr="-extent %d,%d,%d",
+        desc="set the window size of the denoising filter. (default = 5,5,5)",
+    )
+    noise = File(
+        argstr="-noise %s",
+        name_template="%s_noise",
+        name_source=["in_file"],
+        keep_extension=True,
+        desc="the output noise map",
+    )
+    out_file = File(
+        argstr="%s",
+        name_template="%s_denoised",
+        name_source=["in_file"],
+        keep_extension=True,
+        position=-1,
+        desc="the output denoised DWI image",
+    )
+
+
+class DWIDenoiseOutputSpec(TraitedSpec):
+    out_file = File(desc="the output denoised DWI image", exists=True)
+    noise = File(desc="the output noise map (if generated)", exists=True)
+
+
+class DWIDenoise(MRTrix3Base):
+    """
+    Denoise DWI data and estimate the noise level based on the optimal
+    threshold for PCA.
+    DWI data denoising and noise map estimation by exploiting data redundancy
+    in the PCA domain using the prior knowledge that the eigenspectrum of
+    random covariance matrices is described by the universal Marchenko Pastur
+    distribution.
+    Important note: image denoising must be performed as the first step of the
+    image processing pipeline. The routine will fail if interpolation or
+    smoothing has been applied to the data prior to denoising.
+    Note that this function does not correct for non-Gaussian noise biases.
+    For more information, see
+    <https://mrtrix.readthedocs.io/en/latest/reference/commands/dwidenoise.html>
+    Example
+    -------
+    >>> import nipype.interfaces.mrtrix3 as mrt
+    >>> denoise = mrt.DWIDenoise()
+    >>> denoise.inputs.in_file = 'dwi.mif'
+    >>> denoise.inputs.mask = 'mask.mif'
+    >>> denoise.cmdline                               # doctest: +ELLIPSIS
+    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'
+    >>> denoise.run()                                 # doctest: +SKIP
+    """
+
+    _cmd = "dwidenoise"
+    input_spec = DWIDenoiseInputSpec
+    output_spec = DWIDenoiseOutputSpec
+
+
+class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):
+    in_file = File(
+        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+    )
+    axes = traits.ListInt(
+        default_value=[0, 1],
+        usedefault=True,
+        sep=",",
+        minlen=2,
+        maxlen=2,
+        argstr="-axes %s",
+        desc="indicate the plane in which the data was acquired (axial = 0,1; "
+        "coronal = 0,2; sagittal = 1,2",
+    )
+    nshifts = traits.Int(
+        default_value=20,
+        usedefault=True,
+        argstr="-nshifts %d",
+        desc="discretization of subpixel spacing (default = 20)",
+    )
+    minW = traits.Int(
+        default_value=1,
+        usedefault=True,
+        argstr="-minW %d",
+        desc="left border of window used for total variation (TV) computation "
+        "(default = 1)",
+    )
+    maxW = traits.Int(
+        default_value=3,
+        usedefault=True,
+        argstr="-maxW %d",
+        desc="right border of window used for total variation (TV) computation "
+        "(default = 3)",
+    )
+    out_file = File(
+        name_template="%s_unr",
+        name_source="in_file",
+        keep_extension=True,
+        argstr="%s",
+        position=-1,
+        desc="the output unringed DWI image",
+        genfile=True,
+    )
+
+
+class MRDeGibbsOutputSpec(TraitedSpec):
+    out_file = File(desc="the output unringed DWI image", exists=True)
+
+
+class MRDeGibbs(MRTrix3Base):
+    """
+    Remove Gibbs ringing artifacts.
+    This application attempts to remove Gibbs ringing artefacts from MRI images
+    using the method of local subvoxel-shifts proposed by Kellner et al.
+    This command is designed to run on data directly after it has been
+    reconstructed by the scanner, before any interpolation of any kind has
+    taken place. You should not run this command after any form of motion
+    correction (e.g. not after dwipreproc). Similarly, if you intend running
+    dwidenoise, you should run this command afterwards, since it has the
+    potential to alter the noise structure, which would impact on dwidenoise's
+    performance.
+    Note that this method is designed to work on images acquired with full
+    k-space coverage. Running this method on partial Fourier ('half-scan') data
+    may lead to suboptimal and/or biased results, as noted in the original
+    reference below. There is currently no means of dealing with this; users
+    should exercise caution when using this method on partial Fourier data, and
+    inspect its output for any obvious artefacts.
+    For more information, see
+    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrdegibbs.html>
+    Example
+    -------
+    >>> import nipype.interfaces.mrtrix3 as mrt
+    >>> unring = mrt.MRDeGibbs()
+    >>> unring.inputs.in_file = 'dwi.mif'
+    >>> unring.cmdline
+    'mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 dwi.mif dwi_unr.mif'
+    >>> unring.run()                                 # doctest: +SKIP
+    """
+
+    _cmd = "mrdegibbs"
+    input_spec = MRDeGibbsInputSpec
+    output_spec = MRDeGibbsOutputSpec

From 59680c56c1541ce02b5ff4c2e9555cae324bafe3 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Thu, 27 Jun 2019 18:40:53 -0400
Subject: [PATCH 031/156] add dtifit and denoise after eddy

---
 dmriprep/workflows/dwi/base.py | 49 +++++++++-------------------------
 1 file changed, 12 insertions(+), 37 deletions(-)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 2c87bcaf..2218f864 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,20 +1,11 @@
 #!/usr/bin/env python
 
-import os
-
 
 def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
     from nipype.pipeline import engine as pe
-    from nipype.interfaces import (
-        freesurfer as fs,
-        fsl,
-        mrtrix3,
-        ants,
-        io as nio,
-        utility as niu,
-    )
-    from nipype.utils.filemanip import fname_presuffix
+    from nipype.interfaces import fsl, utility as niu
 
+    from ...interfaces import mrtrix
     from ..fieldmap.base import init_sdc_prep_wf
 
     fmaps = []
@@ -27,11 +18,6 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
         )
 
     for fmap in fmaps:
-        # if fmap["suffix"] == "phase":
-        #     fmap_key = "phase1"
-        # else:
-        #     fmap_key = fmap["suffix"]
-        # fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
         fmap["metadata"] = layout.get_metadata(fmap["suffix"])
 
     sdc_wf = init_sdc_prep_wf(fmaps, metadata)
@@ -59,26 +45,9 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
         name="outputnode",
     )
 
-    denoise = pe.Node(
-        mrtrix3.DWIDenoise(
-            noise=fname_presuffix(
-                dwi_file, suffix="_noise", newpath=os.path.abspath("."), use_ext=True
-            ),
-            out_file=fname_presuffix(
-                dwi_file, suffix="_denoised", newpath=os.path.abspath("."), use_ext=True
-            ),
-        ),
-        name="denoise",
-    )
+    denoise = pe.Node(mrtrix.DWIDenoise(), name="denoise")
 
-    unring = pe.Node(
-        mrtrix3.MRDeGibbs(
-            out_file=fname_presuffix(
-                dwi_file, suffix="_unringed", newpath=os.path.abspath("."), use_ext=True
-            )
-        ),
-        name="unring",
-    )
+    unring = pe.Node(mrtrix.MRDeGibbs(), name="unring")
 
     def gen_index(in_file):
         import os.path as op
@@ -203,13 +172,13 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     except:
         ecc.inputs.use_cuda = False
 
+    denoise_eddy = pe.Node(mrtrix.DWIDenoise(), name="denoise_eddy")
+
     eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
 
     get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
     get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
 
-    dwi_bias_corr = pe.Node(ants.N4BiasFieldCorrection(), name="dwi_bias_corr")
-
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
 
     def get_b0_mask_fn(b0_file):
@@ -234,6 +203,8 @@ def get_b0_mask_fn(b0_file):
         name="getB0Mask",
     )
 
+    dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name="dtifit")
+
     dwi_wf.connect(
         [
             (inputnode, denoise, [("dwi_file", "in_file")]),
@@ -248,6 +219,7 @@ def get_b0_mask_fn(b0_file):
             (bet_dwi0, ecc, [("mask_file", "in_mask")]),
             (gen_idx, ecc, [("out_file", "in_index")]),
             (acqp, ecc, [("out_file", "in_acqp")]),
+            (ecc, denoise_eddy, [("out_corrected", "in_file")]),
             (ecc, fslroi, [("out_corrected", "in_file")]),
             (fslroi, b0mask_node, [("roi_file", "b0_file")]),
             (
@@ -269,6 +241,9 @@ def get_b0_mask_fn(b0_file):
             (bet_dwi0, sdc_wf, [("out_file", "inputnode.b0_stripped")]),
             (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
             (sdc_wf, eddy_quad, [("outputnode.out_fmap", "field")]),
+            (ecc, dtifit, [("out_corrected", "dwi"), ("out_rotated_bvecs", "bvecs")]),
+            (b0mask_node, dtifit, [("mask_file", "mask")]),
+            (inputnode, dtifit, [("bval_file", "bvals")]),
         ]
     )
 

From 6365ef18324d784028f4a38102bc5e013a63d798 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Thu, 27 Jun 2019 18:41:04 -0400
Subject: [PATCH 032/156] update datasink

---
 dmriprep/workflows/base.py         |  8 ++++++++
 dmriprep/workflows/dwi/datasink.py | 25 +++++++++++++++++--------
 2 files changed, 25 insertions(+), 8 deletions(-)

diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 644a8d07..ff92812d 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -89,10 +89,18 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
                         ("fsl_eddy.out_corrected", "inputnode.out_file"),
                         ("fsl_eddy.out_rotated_bvecs", "inputnode.out_bvec"),
                         ("getB0Mask.mask_file", "inputnode.out_mask"),
+                        ("inputnode.bval_file", "inputnode.out_bval"),
+                        ("bet_dwi_pre.out_file", "inputnode.out_b0_brain"),
+                        ("bet_dwi_pre.mask_file", "inputnode.out_b0_mask"),
+                        ("eddy_quad.qc_json", "inputnode.out_eddy_qc"),
+                        ("dtifit.FA", "inputnode.out_FA"),
+                        ("dtifit.V1", "inputnode.out_V1"),
+                        ("denoise_eddy.noise", "inputnode.out_sh_residual"),
                     ],
                 )
             ]
         )
+
         subject_wf.add_nodes([full_wf])
 
     return subject_wf
diff --git a/dmriprep/workflows/dwi/datasink.py b/dmriprep/workflows/dwi/datasink.py
index af4455eb..30cd1bc0 100644
--- a/dmriprep/workflows/dwi/datasink.py
+++ b/dmriprep/workflows/dwi/datasink.py
@@ -3,14 +3,7 @@
 
 def init_output_wf(subject_id, session_id, output_folder):
     from nipype.pipeline import engine as pe
-    from nipype.interfaces import (
-        freesurfer as fs,
-        fsl,
-        mrtrix3,
-        io as nio,
-        utility as niu,
-    )
-    from nipype import logging
+    from nipype.interfaces import io as nio, utility as niu
 
     op_wf = pe.Workflow(name="output_wf")
 
@@ -22,6 +15,14 @@ def init_output_wf(subject_id, session_id, output_folder):
                 "out_file",
                 "out_mask",
                 "out_bvec",
+                "out_bval",
+                "out_b0_brain",
+                "out_b0_mask",
+                "out_fieldmap_brain",
+                "out_eddy_qc",
+                "out_FA",
+                "out_V1",
+                "out_sh_residual",
                 "output_folder",
             ]
         ),
@@ -64,7 +65,15 @@ def build_path(output_folder, subject_id, session_id):
                 [
                     ("out_file", "@result.@dwi"),
                     ("out_bvec", "@result.@bvec"),
+                    ("out_bval", "@result.@bval"),
                     ("out_mask", "@result.@mask"),
+                    ("out_b0_brain", "@result.@b0brain"),
+                    ("out_b0_mask", "@result.@b0mask"),
+                    # ("out_fieldmap_brain", "@result.@fmapbrain"),
+                    ("out_eddy_qc", "@result.@eddyqc"),
+                    ("out_FA", "@result.@fa"),
+                    ("out_V1", "@result.@v1"),
+                    ("out_sh_residual", "@result.@residual"),
                 ],
             ),
         ]

From f06e2ea9b3f74232fa6f416fd9332a4141c023dd Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Fri, 28 Jun 2019 10:20:50 -0400
Subject: [PATCH 033/156] Added new phasediff workflow suited for SIEMENS

---
 dmriprep/workflows/fieldmap/__init__.py  |   1 +
 dmriprep/workflows/fieldmap/base.py      |  36 ++++--
 dmriprep/workflows/fieldmap/phasediff.py | 109 +++++++++++++++++++
 dmriprep/workflows/fieldmap/phdiff.py    |  72 +++++++++++-
 dmriprep/workflows/fieldmap/unwarp.py    | 133 ++++++++++++++---------
 5 files changed, 287 insertions(+), 64 deletions(-)
 create mode 100644 dmriprep/workflows/fieldmap/phasediff.py

diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index 0af22be8..cc9ce59d 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -2,3 +2,4 @@
 
 from .base import init_sdc_prep_wf
 from .fmap import init_fmap_wf
+from .phasediff import init_phase_wf
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 89d4a641..790f55c3 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -46,18 +46,22 @@ def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False
         )
 
     if fmap['suffix'] in ('phasediff', 'phase'):
-        from .phdiff import init_phdiff_wf
-        fmap_estimator_wf = init_phdiff_wf(omp_nthreads=omp_nthreads,
-                                            phasetype=fmap['suffix'])
-        fmap_estimator_wf.inputs.inputnode.layout = layout
+        print("phase made")
+        #from .phdiff import init_phdiff_wf
+        from .phasediff import init_phase_wf
+        #fmap_estimator_wf = init_phdiff_wf(omp_nthreads=omp_nthreads,
+        #                                    phasetype=fmap['suffix'])
+        phase_wf = init_phase_wf(layout)
+        #fmap_estimator_wf.inputs.inputnode.layout = layout
         if fmap['suffix'] == 'phasediff':
-            fmap_estimator_wf.inputs.inputnode.phasediff = fmap['phasediff']
+            phase_wf.inputs.inputnode.phasediff = fmap['phasediff']
         elif fmap['suffix'] == 'phase':
+            '''
             # Check that fieldmap is not bipolar
             fmap_polarity = fmap['metadata'].get('DiffusionScheme', None)
             if fmap_polarity == 'Bipolar':
-                LOGGER.warning("Bipolar fieldmaps are not supported. Ignoring")
-                sdc_prep_wf.__postdesc__ = ""
+                #LOGGER.warning("Bipolar fieldmaps are not supported. Ignoring")
+                #sdc_prep_wf.__postdesc__ = ""
                 outputnode.inputs.method = 'None'
                 sdc_prep_wf.connect([
                     (inputnode, outputnode, [('bold_ref', 'bold_ref'),
@@ -65,16 +69,24 @@ def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False
                                              ('bold_ref_brain', 'bold_ref_brain')]),
                 ])
                 return sdc_prep_wf
-            if fmap_polarity is None:
-                LOGGER.warning("Assuming phase images are Monopolar")
+            #if fmap_polarity is None:
+                #LOGGER.warning("Assuming phase images are Monopolar")
+            '''
 
-            fmap_estimator_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
+            phase_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
 
-        fmap_estimator_wf.inputs.inputnode.magnitude = [
+        phase_wf.inputs.inputnode.magnitude1 = [
             fmap_ for key, fmap_ in sorted(fmap.items())
             if key.startswith("magnitude")
         ]
 
+        sdc_prep_wf.connect(
+            [
+                (phase_wf, outputnode, [("outputnode.out_fieldmap", "out_fmap")])
+            ]
+        )
+
+        '''
         sdc_unwarp_wf = init_sdc_unwarp_wf(
             omp_nthreads=omp_nthreads,
             fmap_demean=fmap_demean,
@@ -100,4 +112,6 @@ def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False
                 ('outputnode.out_reference_brain', 'bold_ref_brain'),
                 ('outputnode.out_mask', 'bold_mask')]),
         ])
+        '''
+
     return sdc_prep_wf
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
new file mode 100644
index 00000000..b0397557
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -0,0 +1,109 @@
+#!/usr/bin/env python
+
+def init_phase_wf(layout):
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import fsl, utility as niu
+    from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
+
+    wf = pe.Workflow(name="phase_prep_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["magnitude1", "phasediff", "b0_stripped"]), name="inputnode")
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fieldmap"]), name="outputnode")
+
+    mag_bet = pe.Node(fsl.BET(frac=0.6, robust=True),
+                                    name='mag_bet')
+
+    prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS'),
+                                    name='prep_fmap')
+
+    rad_to_hz = pe.Node(
+        fsl.BinaryMaths(operation="div", operand_value=6.28), name="radToHz"
+    )
+
+    phases_meta = pe.Node(
+        niu.Function(
+            input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
+        ),
+        name="phases_meta",
+    )
+    phases_meta.inputs.in_layout = layout
+
+    phdiff_meta = pe.Node(
+        niu.Function(
+            input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
+        ),
+        name="phdiff_meta",
+    )
+    phdiff_meta.inputs.in_layout = layout
+
+    delta_te = pe.Node(
+        niu.Function(
+            input_names=["in_values"], output_names=["out_value"], function=_delta_te
+        ),
+        name="delta_te",
+    )
+
+    phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
+
+    wf.connect(
+        [
+            # Mag bet
+            (inputnode, mag_bet, [("magnitude1", "in_file")]),
+            # phases -> phdiff
+            (inputnode, phases_meta, [('out_dict', 'in_file')]),
+            (phases_meta, phases2fmap, [('out_dict', 'metadatas')]),
+            (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
+            # phdiff delta_te
+            (phases2fmap, phdiff_meta, [('out_file', 'in_file')]),
+            (phdiff_meta, delta_te, [('out_dict', 'in_values')]),
+            # prep fmap
+            (mag_bet, prep_fmap, [("out_file", "in_magnitude")]),
+            (phases2fmap, prep_fmap, [('out_file', 'in_phase')]),
+            (delta_te, prep_fmap, [('out_value', 'delta_TE')]),
+            # radToHz
+            (prep_fmap, rad_to_hz, [("out_fieldmap", "in_file")]),
+            (rad_to_hz, outputnode, [("out_file", "fieldmap")])
+        ]
+    )
+
+    return wf
+
+
+def get_metadata(in_file, in_layout):
+    out_dict = in_layout.get_metadata(in_file)
+    return out_dict
+
+def _delta_te(in_values, te1=None, te2=None):
+    """Read :math:`\Delta_\text{TE}` from BIDS metadata dict"""
+    if isinstance(in_values, float):
+        te2 = in_values
+        te1 = 0.
+
+    if isinstance(in_values, dict):
+        te1 = in_values.get('EchoTime1')
+        te2 = in_values.get('EchoTime2')
+
+        if not all((te1, te2)):
+            te2 = in_values.get('EchoTimeDifference')
+            te1 = 0
+
+    if isinstance(in_values, list):
+        te2, te1 = in_values
+        if isinstance(te1, list):
+            te1 = te1[1]
+        if isinstance(te2, list):
+            te2 = te2[1]
+
+    # For convienience if both are missing we should give one error about them
+    if te1 is None and te2 is None:
+        raise RuntimeError('EchoTime1 and EchoTime2 metadata fields not found. '
+                           'Please consult the BIDS specification.')
+    if te1 is None:
+        raise RuntimeError(
+            'EchoTime1 metadata field not found. Please consult the BIDS specification.')
+    if te2 is None:
+        raise RuntimeError(
+            'EchoTime2 metadata field not found. Please consult the BIDS specification.')
+
+    return abs(float(te2) - float(te1))
diff --git a/dmriprep/workflows/fieldmap/phdiff.py b/dmriprep/workflows/fieldmap/phdiff.py
index 2f5256c7..8591b230 100644
--- a/dmriprep/workflows/fieldmap/phdiff.py
+++ b/dmriprep/workflows/fieldmap/phdiff.py
@@ -16,12 +16,14 @@
 from nipype.pipeline import engine as pe
 from nipype.workflows.dmri.fsl.utils import siemens2rads, demean_image, \
     cleanup_edge_pipeline
+'''
 from nipype.interfaces.base import (
     traits, isdefined, Undefined,
     TraitedSpec, BaseInterfaceInputSpec, DynamicTraitedSpec,
     File, Directory, InputMultiObject, OutputMultiObject, Str,
     SimpleInterface, InputMultiPath, OutputMultiPath
 )
+'''
 #from niworkflows.engine.workflows import LiterateWorkflow as Workflow
 #from niworkflows.interfaces.bids import ReadSidecarJSON
 #from niworkflows.interfaces.images import IntraModalMerge
@@ -63,7 +65,13 @@ def init_phdiff_wf(omp_nthreads, phasetype='phasediff', name='phdiff_wf'):
         fields=['fmap', 'fmap_ref', 'fmap_mask']), name='outputnode')
 
     # Merge input magnitude images
-    magmrg = pe.Node(IntraModalMerge(), name='magmrg')
+    #magmrg = pe.Node(IntraModalMerge(), name='magmrg')
+    magmrg = pe.Node(
+        niu.Function(
+            input_names=["in_file", "hmc", "zero_based_avg", "to_ras"], output_names=["out_dict"], function=intra_modal_merge
+        ),
+        name="magmrg",
+    )
 
     # de-gradient the fields ("bias/illumination artifact")
     n4 = pe.Node(ants.N4BiasFieldCorrection(dimension=3, copy_header=True),
@@ -228,6 +236,66 @@ def _run_interface(self, runtime):
             self._results[fname] = metadata.get(fname, Undefined)
         return runtime
 '''
+
+def intra_modal_merge(in_file, hmc, zero_based_avg, to_ras):
+    #OUTPUTS
+    # out_avg, out_file, out_mats, out_movpar
+
+    #in_files = self.inputs.in_files
+    #if not isinstance(in_files, list):
+    #    in_files = [self.inputs.in_files]
+    in_files = [in_file]
+
+    # Generate output average name early
+    #self._results['out_avg'] = fname_presuffix(self.inputs.in_files[0],
+    #                                           suffix='_avg', newpath=runtime.cwd)
+    out_avg = fname_presuffix(in_files, suffix='_avg', newpath=runtime.cwd)
+    if to_ras:
+        in_files = [reorient(inf, newpath=runtime.cwd)
+                    for inf in in_files]
+
+    if len(in_files) == 1:
+        filenii = nb.load(in_files[0])
+        filedata = filenii.get_data()
+
+        # magnitude files can have an extra dimension empty
+        if filedata.ndim == 5:
+            sqdata = np.squeeze(filedata)
+            if sqdata.ndim == 5:
+                raise RuntimeError('Input image (%s) is 5D' % in_files[0])
+            else:
+                in_files = [fname_presuffix(in_files[0], suffix='_squeezed',
+                                            newpath=runtime.cwd)]
+                nb.Nifti1Image(sqdata, filenii.affine,
+                               filenii.header).to_filename(in_files[0])
+
+        if np.squeeze(nb.load(in_files[0]).get_data()).ndim < 4:
+            out_file = in_files[0]
+            out_avg = in_files[0]
+            # TODO: generate identity out_mats and zero-filled out_movpar
+            return runtime
+        in_files = in_files[0]
+    else:
+        magmrg = fsl.Merge(dimension='t', in_files=in_files)
+        in_files = magmrg.run().outputs.merged_file
+    mcflirt = fsl.MCFLIRT(cost='normcorr', save_mats=True, save_plots=True,
+                          ref_vol=0, in_file=in_files)
+    mcres = mcflirt.run()
+    out_mats = mcres.outputs.mat_file
+    out_movpar = mcres.outputs.par_file
+    out_file = mcres.outputs.out_file
+
+    hmcnii = nb.load(mcres.outputs.out_file)
+    hmcdat = hmcnii.get_data().mean(axis=3)
+    if zero_based_avg:
+        hmcdat -= hmcdat.min()
+
+    nb.Nifti1Image(
+        hmcdat, hmcnii.affine, hmcnii.header).to_filename(
+        out_avg)
+
+    return runtime
+'''
 class IntraModalMergeInputSpec(BaseInterfaceInputSpec):
     in_files = InputMultiPath(File(exists=True), mandatory=True,
                               desc='input files')
@@ -301,7 +369,7 @@ def _run_interface(self, runtime):
             self._results['out_avg'])
 
         return runtime
-'''
+
 class DerivativesDataSinkInputSpec(DynamicTraitedSpec, BaseInterfaceInputSpec):
     base_directory = traits.Directory(
         desc='Path to the base directory for storing data.')
diff --git a/dmriprep/workflows/fieldmap/unwarp.py b/dmriprep/workflows/fieldmap/unwarp.py
index 1456cf11..0fb8c306 100644
--- a/dmriprep/workflows/fieldmap/unwarp.py
+++ b/dmriprep/workflows/fieldmap/unwarp.py
@@ -21,52 +21,20 @@
 
 from nipype.pipeline import engine as pe
 from nipype.interfaces import ants, fsl, utility as niu
-from niworkflows.engine.workflows import LiterateWorkflow as Workflow
-from niworkflows.interfaces import itk
-from niworkflows.interfaces.images import DemeanImage, FilledImageLike
-from niworkflows.interfaces.registration import ANTSApplyTransformsRPT, ANTSRegistrationRPT
-
-from ...interfaces import DerivativesDataSink
+#from niworkflows.engine.workflows import LiterateWorkflow as Workflow
+#from niworkflows.interfaces import itk
+#from niworkflows.interfaces.images import DemeanImage, FilledImageLike
+#from niworkflows.interfaces.registration import ANTSApplyTransformsRPT, ANTSRegistrationRPT
+from nipype.interfaces.base import (
+    traits, isdefined, Undefined,
+    TraitedSpec, BaseInterfaceInputSpec, DynamicTraitedSpec,
+    File, Directory, InputMultiObject, OutputMultiObject, Str,
+    SimpleInterface, InputMultiPath, OutputMultiPath
+)
+#from ...interfaces import DerivativesDataSink
 from ...interfaces.fmap import get_ees as _get_ees, FieldToRadS
 from ..bold.util import init_enhance_and_skullstrip_bold_wf
 
-class LiterateWorkflow(pe.Workflow):
-    """Controls the setup and execution of a pipeline of processes."""
-
-    def __init__(self, name, base_dir=None):
-        """Create a workflow object.
-        Parameters
-        ----------
-        name : alphanumeric string
-            unique identifier for the workflow
-        base_dir : string, optional
-            path to workflow storage
-        """
-        super(LiterateWorkflow, self).__init__(name, base_dir)
-        self.__desc__ = None
-        self.__postdesc__ = None
-
-    def visit_desc(self):
-        """
-        Builds a citation boilerplate by visiting all workflows
-        appending their ``__desc__`` field
-        """
-        desc = []
-
-        if self.__desc__:
-            desc += [self.__desc__]
-
-        for node in pe.utils.topological_sort(self._graph)[0]:
-            if isinstance(node, LiterateWorkflow):
-                add_desc = node.visit_desc()
-                if add_desc not in desc:
-                    desc.append(add_desc)
-
-        if self.__postdesc__:
-            desc += [self.__postdesc__]
-
-        return ''.join(desc)
-
 def init_sdc_unwarp_wf(omp_nthreads, fmap_demean, debug, name='sdc_unwarp_wf'):
     """
     This workflow takes in a displacements fieldmap and calculates the corresponding
@@ -120,7 +88,7 @@ def init_sdc_unwarp_wf(omp_nthreads, fmap_demean, debug, name='sdc_unwarp_wf'):
 
     """
 
-    workflow = Workflow(name=name)
+    workflow = pe.Workflow(name=name)
     inputnode = pe.Node(niu.IdentityInterface(
         fields=['in_reference', 'in_reference_brain', 'in_mask', 'metadata',
                 'fmap_ref', 'fmap_mask', 'fmap']), name='inputnode')
@@ -197,7 +165,7 @@ def init_sdc_unwarp_wf(omp_nthreads, fmap_demean, debug, name='sdc_unwarp_wf'):
             ('composite_transform', 'transforms')]),
         (fmap2ref_apply, ds_report_vsm, [('out_report', 'in_file')]),
         (inputnode, fmap2ref_reg, [('in_reference_brain', 'fixed_image')]),
-        (fmap2ref_reg, ds_report_reg, [('out_report', 'in_file')]),
+        #(fmap2ref_reg, ds_report_reg, [('out_report', 'in_file')]),
         (inputnode, fmap2ref_apply, [('fmap', 'input_image')]),
         (inputnode, fmap_mask2ref_apply, [('fmap_mask', 'input_image')]),
         (fmap2ref_apply, torads, [('output_image', 'in_file')]),
@@ -299,16 +267,16 @@ def init_fmap_unwarp_report_wf(name='fmap_unwarp_report_wf', forcedsyn=False):
 
     bold_rpt = pe.Node(SimpleBeforeAfter(), name='bold_rpt',
                        mem_gb=0.1)
-    ds_report_sdc = pe.Node(
-        DerivativesDataSink(desc='sdc' if not forcedsyn else 'forcedsyn',
-                            suffix='bold'), name='ds_report_sdc',
-        mem_gb=DEFAULT_MEMORY_MIN_GB, run_without_submitting=True
-    )
+    #ds_report_sdc = pe.Node(
+    #    DerivativesDataSink(desc='sdc' if not forcedsyn else 'forcedsyn',
+    #                        suffix='bold'), name='ds_report_sdc',
+    #    mem_gb=DEFAULT_MEMORY_MIN_GB, run_without_submitting=True
+    #)
 
     workflow.connect([
         (inputnode, bold_rpt, [('in_post', 'after'),
                                ('in_pre', 'before')]),
-        (bold_rpt, ds_report_sdc, [('out_report', 'in_file')]),
+        #(bold_rpt, ds_report_sdc, [('out_report', 'in_file')]),
         (inputnode, map_seg, [('in_post', 'reference_image'),
                               ('in_seg', 'input_image'),
                               ('in_xfm', 'transforms')]),
@@ -318,6 +286,69 @@ def init_fmap_unwarp_report_wf(name='fmap_unwarp_report_wf', forcedsyn=False):
 
     return workflow
 
+class FUGUEvsm2ANTSwarpInputSpec(BaseInterfaceInputSpec):
+    in_file = File(exists=True, mandatory=True,
+                   desc='input displacements field map')
+    pe_dir = traits.Enum('i', 'i-', 'j', 'j-', 'k', 'k-',
+                         desc='phase-encoding axis')
+
+
+class FUGUEvsm2ANTSwarpOutputSpec(TraitedSpec):
+    out_file = File(desc='the output warp field')
+
+
+class FUGUEvsm2ANTSwarp(SimpleInterface):
+
+    """
+    Convert a voxel-shift-map to ants warp
+    """
+    input_spec = FUGUEvsm2ANTSwarpInputSpec
+    output_spec = FUGUEvsm2ANTSwarpOutputSpec
+
+    def _run_interface(self, runtime):
+
+        nii = nb.load(self.inputs.in_file)
+
+        phaseEncDim = {'i': 0, 'j': 1, 'k': 2}[self.inputs.pe_dir[0]]
+
+        if len(self.inputs.pe_dir) == 2:
+            phaseEncSign = 1.0
+        else:
+            phaseEncSign = -1.0
+
+        # Fix header
+        hdr = nii.header.copy()
+        hdr.set_data_dtype(np.dtype('<f4'))
+        hdr.set_intent('vector', (), '')
+
+        # Get data, convert to mm
+        data = nii.get_data()
+
+        aff = np.diag([1.0, 1.0, -1.0])
+        if np.linalg.det(aff) < 0 and phaseEncDim != 0:
+            # Reverse direction since ITK is LPS
+            aff *= -1.0
+
+        aff = aff.dot(nii.affine[:3, :3])
+
+        data *= phaseEncSign * nii.header.get_zooms()[phaseEncDim]
+
+        # Add missing dimensions
+        zeros = np.zeros_like(data)
+        field = [zeros, zeros]
+        field.insert(phaseEncDim, data)
+        field = np.stack(field, -1)
+        # Add empty axis
+        field = field[:, :, :, np.newaxis, :]
+
+        # Write out
+        self._results['out_file'] = fname_presuffix(
+            self.inputs.in_file, suffix='_antswarp', newpath=runtime.cwd)
+        nb.Nifti1Image(
+            field.astype(np.dtype('<f4')), nii.affine, hdr).to_filename(
+                self._results['out_file'])
+
+        return runtime
 
 # Helper functions
 # ------------------------------------------------------------

From c29781132e01b0f852b050e3546dbaff37139886 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Wed, 3 Jul 2019 10:10:51 -0400
Subject: [PATCH 034/156] Added phasediff support for SIEMENS scanners

---
 dmriprep/cli.py                          |  2 +-
 dmriprep/workflows/base.py               |  7 ++-
 dmriprep/workflows/dwi/base.py           |  5 +-
 dmriprep/workflows/fieldmap/base.py      | 72 ++++++------------------
 dmriprep/workflows/fieldmap/phasediff.py | 59 +++++++------------
 5 files changed, 45 insertions(+), 100 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 2f5dab9f..e19317d5 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -85,7 +85,7 @@ def main(
     )
 
     work_dir = os.path.join(output_dir, "scratch")
-    wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir)
+    wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bids_dir)
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
     wf.config["execution"]["keep_inputs"] = True
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index ddbb04fb..8509c4d5 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -7,7 +7,7 @@
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
-def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
+def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bids_dir):
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = work_dir
 
@@ -19,6 +19,7 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
             name="single_subject_" + subject_id + "_wf",
             work_dir=work_dir,
             output_dir=output_dir,
+            bids_dir=bids_dir
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
@@ -33,7 +34,7 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
     return dmriprep_wf
 
 
-def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
+def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir, bids_dir):
 
     dwi_files = layout.get(
         subject=subject_id,
@@ -56,7 +57,7 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
         session_id = entities["session"]
         metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
-            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout
+            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout, bids_dir=bids_dir
         )
         datasink_wf = init_output_wf(
             subject_id=subject_id, session_id=session_id, output_folder=output_dir
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index f89a650e..4cf79935 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -3,7 +3,7 @@
 import os
 
 
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
+def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bids_dir):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import (
         freesurfer as fs,
@@ -34,7 +34,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
         # fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
         fmap["metadata"] = layout.get_metadata(fmap["suffix"])
 
-    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout)
+    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout, bids_dir)
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
@@ -202,6 +202,7 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
             ecc.inputs.use_cuda = True
     except:
         ecc.inputs.use_cuda = False
+    ecc.inputs.use_cuda = False
 
     eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
 
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 790f55c3..5b59d4f1 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -3,13 +3,13 @@
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
-def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False):
+def init_sdc_prep_wf(fmaps, metadata, layout, bids_dir, omp_nthreads=1, fmap_bspline=False):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import utility as niu
 
     sdc_prep_wf = pe.Workflow(name="sdc_prep_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode")
+    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped", "bids_dir"]), name="inputnode")
 
     #outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap",]), name="outputnode")
 
@@ -46,72 +46,32 @@ def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False
         )
 
     if fmap['suffix'] in ('phasediff', 'phase'):
-        print("phase made")
-        #from .phdiff import init_phdiff_wf
         from .phasediff import init_phase_wf
-        #fmap_estimator_wf = init_phdiff_wf(omp_nthreads=omp_nthreads,
-        #                                    phasetype=fmap['suffix'])
-        phase_wf = init_phase_wf(layout)
-        #fmap_estimator_wf.inputs.inputnode.layout = layout
+        from .fmap import init_fmap_wf
+        phase_wf = init_phase_wf()
         if fmap['suffix'] == 'phasediff':
             phase_wf.inputs.inputnode.phasediff = fmap['phasediff']
         elif fmap['suffix'] == 'phase':
-            '''
-            # Check that fieldmap is not bipolar
-            fmap_polarity = fmap['metadata'].get('DiffusionScheme', None)
-            if fmap_polarity == 'Bipolar':
-                #LOGGER.warning("Bipolar fieldmaps are not supported. Ignoring")
-                #sdc_prep_wf.__postdesc__ = ""
-                outputnode.inputs.method = 'None'
-                sdc_prep_wf.connect([
-                    (inputnode, outputnode, [('bold_ref', 'bold_ref'),
-                                             ('bold_mask', 'bold_mask'),
-                                             ('bold_ref_brain', 'bold_ref_brain')]),
-                ])
-                return sdc_prep_wf
-            #if fmap_polarity is None:
-                #LOGGER.warning("Assuming phase images are Monopolar")
-            '''
-
             phase_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
 
         phase_wf.inputs.inputnode.magnitude1 = [
             fmap_ for key, fmap_ in sorted(fmap.items())
-            if key.startswith("magnitude")
+            if key.startswith("magnitude1")
+        ][0]
+
+        phase_wf.inputs.inputnode.phases_meta = [
+            layout.get_metadata(i)
+            for i in phase_wf.inputs.inputnode.phasediff
         ]
 
+        post_phase_wf = init_fmap_wf()
+
         sdc_prep_wf.connect(
             [
-                (phase_wf, outputnode, [("outputnode.out_fieldmap", "out_fmap")])
+                (inputnode, post_phase_wf, [("b0_stripped", "inputnode.b0_stripped")]),
+                (phase_wf, post_phase_wf, [("outputnode.out_fmap", "inputnode.fieldmap")]),
+                (phase_wf, post_phase_wf, [("outputnode.out_mag", "inputnode.magnitude")]),
+                (post_phase_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])
             ]
         )
-
-        '''
-        sdc_unwarp_wf = init_sdc_unwarp_wf(
-            omp_nthreads=omp_nthreads,
-            fmap_demean=fmap_demean,
-            debug=debug,
-            name='sdc_unwarp_wf')
-        sdc_unwarp_wf.inputs.inputnode.metadata = bold_meta
-
-        sdc_prep_wf.connect([
-            (inputnode, sdc_unwarp_wf, [
-                ('bold_ref', 'inputnode.in_reference'),
-                ('bold_ref_brain', 'inputnode.in_reference_brain'),
-                ('bold_mask', 'inputnode.in_mask')]),
-            (fmap_estimator_wf, sdc_unwarp_wf, [
-                ('outputnode.fmap', 'inputnode.fmap'),
-                ('outputnode.fmap_ref', 'inputnode.fmap_ref'),
-                ('outputnode.fmap_mask', 'inputnode.fmap_mask')]),
-        ])
-
-        sdc_prep_wf.connect([
-            (sdc_unwarp_wf, outputnode, [
-                ('outputnode.out_warp', 'out_warp'),
-                ('outputnode.out_reference', 'bold_ref'),
-                ('outputnode.out_reference_brain', 'bold_ref_brain'),
-                ('outputnode.out_mask', 'bold_mask')]),
-        ])
-        '''
-
     return sdc_prep_wf
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index b0397557..d994489e 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -1,47 +1,29 @@
 #!/usr/bin/env python
 
-def init_phase_wf(layout):
+def init_phase_wf():
     from nipype.pipeline import engine as pe
     from nipype.interfaces import fsl, utility as niu
     from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
 
     wf = pe.Workflow(name="phase_prep_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["magnitude1", "phasediff", "b0_stripped"]), name="inputnode")
+    inputnode = pe.Node(niu.IdentityInterface(fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]), name="inputnode")
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fieldmap"]), name="outputnode")
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap", "out_mag"]), name="outputnode")
 
-    mag_bet = pe.Node(fsl.BET(frac=0.6, robust=True),
+    mag_bet = pe.Node(fsl.BET(frac=0.3, robust=True),
                                     name='mag_bet')
 
-    prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS'),
+    prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS', nocheck=True),
                                     name='prep_fmap')
 
-    rad_to_hz = pe.Node(
-        fsl.BinaryMaths(operation="div", operand_value=6.28), name="radToHz"
-    )
-
-    phases_meta = pe.Node(
-        niu.Function(
-            input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
-        ),
-        name="phases_meta",
-    )
-    phases_meta.inputs.in_layout = layout
-
-    phdiff_meta = pe.Node(
-        niu.Function(
-            input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
-        ),
-        name="phdiff_meta",
-    )
-    phdiff_meta.inputs.in_layout = layout
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi_phase")
 
-    delta_te = pe.Node(
+    delta = pe.Node(
         niu.Function(
-            input_names=["in_values"], output_names=["out_value"], function=_delta_te
+            input_names=["in_values"], output_names=["out_value"], function=delta_te
         ),
-        name="delta_te",
+        name="delta",
     )
 
     phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
@@ -51,30 +33,31 @@ def init_phase_wf(layout):
             # Mag bet
             (inputnode, mag_bet, [("magnitude1", "in_file")]),
             # phases -> phdiff
-            (inputnode, phases_meta, [('out_dict', 'in_file')]),
-            (phases_meta, phases2fmap, [('out_dict', 'metadatas')]),
+            (inputnode, phases2fmap, [('phases_meta', 'metadatas')]),
             (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
             # phdiff delta_te
-            (phases2fmap, phdiff_meta, [('out_file', 'in_file')]),
-            (phdiff_meta, delta_te, [('out_dict', 'in_values')]),
+            (phases2fmap, delta, [('phasediff_metadata', 'in_values')]),
             # prep fmap
             (mag_bet, prep_fmap, [("out_file", "in_magnitude")]),
             (phases2fmap, prep_fmap, [('out_file', 'in_phase')]),
-            (delta_te, prep_fmap, [('out_value', 'delta_TE')]),
-            # radToHz
-            (prep_fmap, rad_to_hz, [("out_fieldmap", "in_file")]),
-            (rad_to_hz, outputnode, [("out_file", "fieldmap")])
+            (delta, prep_fmap, [('out_value', 'delta_TE')]),
+            # Remove second empty volume
+            (prep_fmap, fslroi, [("out_fieldmap", "in_file")]),
+            (fslroi, outputnode, [("roi_file", "out_fmap")]),
+            (inputnode, outputnode, [("magnitude1", "out_mag")])
         ]
     )
 
     return wf
 
 
-def get_metadata(in_file, in_layout):
-    out_dict = in_layout.get_metadata(in_file)
+def get_metadata(in_file, bids_dir):
+    from bids import BIDSLayout
+    layout = BIDSLayout(bids_dir, validate=False)
+    out_dict = layout.get_metadata(in_file)
     return out_dict
 
-def _delta_te(in_values, te1=None, te2=None):
+def delta_te(in_values, te1=None, te2=None):
     """Read :math:`\Delta_\text{TE}` from BIDS metadata dict"""
     if isinstance(in_values, float):
         te2 = in_values

From bc26d3027d1a35509a22c4d308fa0f2ef1870d72 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Thu, 4 Jul 2019 13:24:02 -0400
Subject: [PATCH 035/156] Added support for when one phdiff file is given,
 removed unecessary parameters

---
 dmriprep/cli.py                          |  2 +-
 dmriprep/workflows/base.py               |  9 ++--
 dmriprep/workflows/dwi/base.py           |  4 +-
 dmriprep/workflows/fieldmap/__init__.py  |  2 +-
 dmriprep/workflows/fieldmap/base.py      | 62 +++++++++++++++---------
 dmriprep/workflows/fieldmap/phasediff.py | 53 ++++++++++++++++++--
 6 files changed, 98 insertions(+), 34 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index e19317d5..2f5dab9f 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -85,7 +85,7 @@ def main(
     )
 
     work_dir = os.path.join(output_dir, "scratch")
-    wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bids_dir)
+    wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir)
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
     wf.config["execution"]["keep_inputs"] = True
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 8509c4d5..2d6f014b 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -7,7 +7,7 @@
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
-def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bids_dir):
+def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = work_dir
 
@@ -18,8 +18,7 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bids_dir):
             subject_id=subject_id,
             name="single_subject_" + subject_id + "_wf",
             work_dir=work_dir,
-            output_dir=output_dir,
-            bids_dir=bids_dir
+            output_dir=output_dir
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
@@ -34,7 +33,7 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bids_dir):
     return dmriprep_wf
 
 
-def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir, bids_dir):
+def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
 
     dwi_files = layout.get(
         subject=subject_id,
@@ -57,7 +56,7 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir, bids_
         session_id = entities["session"]
         metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
-            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout, bids_dir=bids_dir
+            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout
         )
         datasink_wf = init_output_wf(
             subject_id=subject_id, session_id=session_id, output_folder=output_dir
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 4cf79935..0e822fb8 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -3,7 +3,7 @@
 import os
 
 
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bids_dir):
+def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import (
         freesurfer as fs,
@@ -34,7 +34,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bids_dir):
         # fmap["metadata"] = layout.get_metadata(fmap[fmap_key])
         fmap["metadata"] = layout.get_metadata(fmap["suffix"])
 
-    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout, bids_dir)
+    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout)
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index cc9ce59d..2b2d1f4b 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -2,4 +2,4 @@
 
 from .base import init_sdc_prep_wf
 from .fmap import init_fmap_wf
-from .phasediff import init_phase_wf
+from .phasediff import init_phase_wf, init_phdiff_wf
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 5b59d4f1..6d37e8df 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -3,13 +3,13 @@
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
-def init_sdc_prep_wf(fmaps, metadata, layout, bids_dir, omp_nthreads=1, fmap_bspline=False):
+def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import utility as niu
 
     sdc_prep_wf = pe.Workflow(name="sdc_prep_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped", "bids_dir"]), name="inputnode")
+    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode")
 
     #outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap",]), name="outputnode")
 
@@ -46,32 +46,50 @@ def init_sdc_prep_wf(fmaps, metadata, layout, bids_dir, omp_nthreads=1, fmap_bsp
         )
 
     if fmap['suffix'] in ('phasediff', 'phase'):
-        from .phasediff import init_phase_wf
+        from .phasediff import init_phase_wf, init_phdiff_wf
         from .fmap import init_fmap_wf
-        phase_wf = init_phase_wf()
         if fmap['suffix'] == 'phasediff':
+            phase_wf = init_phdiff_wf()
             phase_wf.inputs.inputnode.phasediff = fmap['phasediff']
-        elif fmap['suffix'] == 'phase':
-            phase_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
 
-        phase_wf.inputs.inputnode.magnitude1 = [
-            fmap_ for key, fmap_ in sorted(fmap.items())
-            if key.startswith("magnitude1")
-        ][0]
+            phase_wf.inputs.inputnode.magnitude1 = [
+                fmap_ for key, fmap_ in sorted(fmap.items())
+                if key.startswith("magnitude1")
+            ][0]
 
-        phase_wf.inputs.inputnode.phases_meta = [
-            layout.get_metadata(i)
-            for i in phase_wf.inputs.inputnode.phasediff
-        ]
+            phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(phase_wf.inputs.inputnode.phasediff)
+            post_phase_wf = init_fmap_wf()
 
-        post_phase_wf = init_fmap_wf()
+            sdc_prep_wf.connect(
+                [
+                    (inputnode, post_phase_wf, [("b0_stripped", "inputnode.b0_stripped")]),
+                    (phase_wf, post_phase_wf, [("outputnode.out_fmap", "inputnode.fieldmap")]),
+                    (phase_wf, post_phase_wf, [("outputnode.out_mag", "inputnode.magnitude")]),
+                    (post_phase_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])
+                ]
+            )
 
-        sdc_prep_wf.connect(
-            [
-                (inputnode, post_phase_wf, [("b0_stripped", "inputnode.b0_stripped")]),
-                (phase_wf, post_phase_wf, [("outputnode.out_fmap", "inputnode.fieldmap")]),
-                (phase_wf, post_phase_wf, [("outputnode.out_mag", "inputnode.magnitude")]),
-                (post_phase_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])
+        elif fmap['suffix'] == 'phase':
+            phase_wf = init_phase_wf()
+            phase_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
+
+            phase_wf.inputs.inputnode.magnitude1 = [
+                fmap_ for key, fmap_ in sorted(fmap.items())
+                if key.startswith("magnitude1")
+            ][0]
+
+            phase_wf.inputs.inputnode.phases_meta = [
+                layout.get_metadata(i)
+                for i in phase_wf.inputs.inputnode.phasediff
             ]
-        )
+            post_phase_wf = init_fmap_wf()
+
+            sdc_prep_wf.connect(
+                [
+                    (inputnode, post_phase_wf, [("b0_stripped", "inputnode.b0_stripped")]),
+                    (phase_wf, post_phase_wf, [("outputnode.out_fmap", "inputnode.fieldmap")]),
+                    (phase_wf, post_phase_wf, [("outputnode.out_mag", "inputnode.magnitude")]),
+                    (post_phase_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])
+                ]
+            )
     return sdc_prep_wf
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index d994489e..ef3d4f88 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -11,6 +11,8 @@ def init_phase_wf():
 
     outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap", "out_mag"]), name="outputnode")
 
+    phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
+
     mag_bet = pe.Node(fsl.BET(frac=0.3, robust=True),
                                     name='mag_bet')
 
@@ -26,8 +28,6 @@ def init_phase_wf():
         name="delta",
     )
 
-    phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
-
     wf.connect(
         [
             # Mag bet
@@ -50,6 +50,53 @@ def init_phase_wf():
 
     return wf
 
+def init_phdiff_wf():
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import fsl, utility as niu
+    from ...interfaces import Phasediff2Fieldmap
+
+    wf = pe.Workflow(name="phase_prep_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]), name="inputnode")
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap", "out_mag"]), name="outputnode")
+
+    mag_bet = pe.Node(fsl.BET(frac=0.3, robust=True),
+                                    name='mag_bet')
+
+    prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS'),
+                                    name='prep_fmap')
+
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi_phase")
+
+    delta = pe.Node(
+        niu.Function(
+            input_names=["in_values"], output_names=["out_value"], function=delta_te
+        ),
+        name="delta",
+    )
+
+    #phdiff2fmap = pe.Node(Phasediff2Fieldmap(), name='phdiff2fmap')
+
+    wf.connect(
+        [
+            # mag bet
+            (inputnode, mag_bet, [("magnitude1", "in_file")]),
+            # phdiff delta_te
+            (inputnode, delta, [('phases_meta', 'in_values')]),
+            # prep fmap
+            (mag_bet, prep_fmap, [("out_file", "in_magnitude")]),
+            (inputnode, prep_fmap, [('phasediff', 'in_phase')]),
+            (delta, prep_fmap, [('out_value', 'delta_TE')]),
+            # Remove second empty volume
+            (prep_fmap, fslroi, [("out_fieldmap", "in_file")]),
+            # Output
+            (fslroi, outputnode, [("roi_file", "out_fmap")]),
+            (inputnode, outputnode, [("magnitude1", "out_mag")])
+        ]
+    )
+    return wf
+
 
 def get_metadata(in_file, bids_dir):
     from bids import BIDSLayout
@@ -89,4 +136,4 @@ def delta_te(in_values, te1=None, te2=None):
         raise RuntimeError(
             'EchoTime2 metadata field not found. Please consult the BIDS specification.')
 
-    return abs(float(te2) - float(te1))
+    return 1000*abs(float(te2) - float(te1))

From e96932f2161c5f023cbc707ebc8781a946f6af3c Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Thu, 4 Jul 2019 14:50:39 -0400
Subject: [PATCH 036/156] Renamed phdiff workflow and removed cuda debug line

---
 dmriprep/workflows/dwi/base.py           | 1 -
 dmriprep/workflows/fieldmap/base.py      | 2 --
 dmriprep/workflows/fieldmap/phasediff.py | 2 +-
 3 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index d9247d53..871a7808 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -171,7 +171,6 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
             ecc.inputs.use_cuda = True
     except:
         ecc.inputs.use_cuda = False
-    ecc.inputs.use_cuda = False
 
     denoise_eddy = pe.Node(mrtrix.DWIDenoise(), name="denoise_eddy")
 
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 6d37e8df..cd1286bf 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -11,8 +11,6 @@ def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False
 
     inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode")
 
-    #outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap",]), name="outputnode")
-
     outputnode = pe.Node(
         niu.IdentityInterface(
             fields=[
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index ef3d4f88..72372f7d 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -55,7 +55,7 @@ def init_phdiff_wf():
     from nipype.interfaces import fsl, utility as niu
     from ...interfaces import Phasediff2Fieldmap
 
-    wf = pe.Workflow(name="phase_prep_wf")
+    wf = pe.Workflow(name="phdiff_prep_wf")
 
     inputnode = pe.Node(niu.IdentityInterface(fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]), name="inputnode")
 

From 47ba1477d685ca3460b2ea8ce2608fc5bec2c57c Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Fri, 5 Jul 2019 10:57:51 -0400
Subject: [PATCH 037/156] Added dwi and mag frac parameters for BET nodes in
 command line

---
 dmriprep/cli.py                          | 24 +++++++++++++++++++++++-
 dmriprep/workflows/base.py               | 11 +++++++----
 dmriprep/workflows/dwi/base.py           |  6 +++---
 dmriprep/workflows/fieldmap/base.py      |  6 +++---
 dmriprep/workflows/fieldmap/fmap.py      |  2 +-
 dmriprep/workflows/fieldmap/phasediff.py |  8 ++++----
 6 files changed, 41 insertions(+), 16 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 2f5dab9f..75f6b3fa 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -47,6 +47,24 @@
     "allowed outlier slices.",
     default=0.02,
 )
+@click.option(
+    "--bet-dwi",
+    help="Fractional intensity threshold for BET on the DWI. "
+    "A higher value will be more strict; it will cut off more "
+    "around what it analyzes the brain to be. "
+    "If this parameter is not provided a default of 0.3 will "
+    "be used.",
+    default=0.3,
+)
+@click.option(
+    "--bet-mag",
+    help="Fractional intensity threshold for BET on the magnitude. "
+    "A higher value will be more strict; it will cut off more "
+    "around what it analyzes the brain to be. "
+    "If this parameter is not provided a default of 0.3 will "
+    "be used.",
+    default=0.3,
+)
 @click.argument("bids_dir")
 @click.argument("output_dir")
 @click.argument(
@@ -57,6 +75,8 @@ def main(
     bids_dir,
     output_dir,
     eddy_niter=5,
+    bet_dwi=0.3,
+    bet_mag=0.3,
     slice_outlier_threshold=0.02,
     analysis_level="participant",
 ):
@@ -85,7 +105,9 @@ def main(
     )
 
     work_dir = os.path.join(output_dir, "scratch")
-    wf = init_dmriprep_wf(layout, subject_list, work_dir, output_dir)
+    wf = init_dmriprep_wf(
+        layout, subject_list, work_dir, output_dir, bet_dwi, bet_mag
+    )
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
     wf.config["execution"]["keep_inputs"] = True
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index da8bf01c..f787b046 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -7,7 +7,7 @@
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
-def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
+def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bet_dwi, bet_mag):
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = work_dir
 
@@ -18,7 +18,9 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
             subject_id=subject_id,
             name="single_subject_" + subject_id + "_wf",
             work_dir=work_dir,
-            output_dir=output_dir
+            output_dir=output_dir,
+            bet_dwi=bet_dwi,
+            bet_mag=bet_mag
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
@@ -33,7 +35,7 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir):
     return dmriprep_wf
 
 
-def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
+def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir, bet_dwi, bet_mag):
 
     dwi_files = layout.get(
         subject=subject_id,
@@ -56,7 +58,8 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir):
         session_id = entities["session"]
         metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
-            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout
+            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout,
+            bet_dwi_frac=bet_dwi, bet_mag_frac=bet_mag
         )
         datasink_wf = init_output_wf(
             subject_id=subject_id, session_id=session_id, output_folder=output_dir
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 871a7808..63f66342 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 
 
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
+def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bet_dwi_frac, bet_mag_frac):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import fsl, utility as niu
 
@@ -20,7 +20,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout):
     for fmap in fmaps:
         fmap["metadata"] = layout.get_metadata(fmap["suffix"])
 
-    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout)
+    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac)
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
@@ -151,7 +151,7 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     )
 
     # dilate mask
-    bet_dwi0 = pe.Node(fsl.BET(frac=0.3, mask=True, robust=True), name="bet_dwi_pre")
+    bet_dwi0 = pe.Node(fsl.BET(frac=bet_dwi_frac, mask=True, robust=True), name="bet_dwi_pre")
 
     # mrtrix3.MaskFilter
 
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index cd1286bf..1447c7f0 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -3,7 +3,7 @@
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
-def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False):
+def init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap_bspline=False):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import utility as niu
 
@@ -47,7 +47,7 @@ def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False
         from .phasediff import init_phase_wf, init_phdiff_wf
         from .fmap import init_fmap_wf
         if fmap['suffix'] == 'phasediff':
-            phase_wf = init_phdiff_wf()
+            phase_wf = init_phdiff_wf(bet_mag_frac)
             phase_wf.inputs.inputnode.phasediff = fmap['phasediff']
 
             phase_wf.inputs.inputnode.magnitude1 = [
@@ -68,7 +68,7 @@ def init_sdc_prep_wf(fmaps, metadata, layout, omp_nthreads=1, fmap_bspline=False
             )
 
         elif fmap['suffix'] == 'phase':
-            phase_wf = init_phase_wf()
+            phase_wf = init_phase_wf(bet_mag_frac)
             phase_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
 
             phase_wf.inputs.inputnode.magnitude1 = [
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
index 64716f07..df002a5d 100644
--- a/dmriprep/workflows/fieldmap/fmap.py
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -15,7 +15,7 @@ def init_fmap_wf():
         fsl.BinaryMaths(operation="div", operand_value=6.28), name="radToHz"
     )
 
-    mag_flirt = pe.Node(fsl.FLIRT(), name="magFlirt")
+    mag_flirt = pe.Node(fsl.FLIRT(dof=6), name="magFlirt")
 
     fmap_flirt = pe.Node(fsl.FLIRT(apply_xfm=True), name="fmapFlirt")
 
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index 72372f7d..de5e7cae 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 
-def init_phase_wf():
+def init_phase_wf(bet_mag_frac):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import fsl, utility as niu
     from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
@@ -13,7 +13,7 @@ def init_phase_wf():
 
     phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
 
-    mag_bet = pe.Node(fsl.BET(frac=0.3, robust=True),
+    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True),
                                     name='mag_bet')
 
     prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS', nocheck=True),
@@ -50,7 +50,7 @@ def init_phase_wf():
 
     return wf
 
-def init_phdiff_wf():
+def init_phdiff_wf(bet_mag_frac):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import fsl, utility as niu
     from ...interfaces import Phasediff2Fieldmap
@@ -61,7 +61,7 @@ def init_phdiff_wf():
 
     outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap", "out_mag"]), name="outputnode")
 
-    mag_bet = pe.Node(fsl.BET(frac=0.3, robust=True),
+    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True),
                                     name='mag_bet')
 
     prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS'),

From 2e6453e554d968938f5b94ce2a01fb67388ab087 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Fri, 5 Jul 2019 17:36:18 -0400
Subject: [PATCH 038/156] Deleted unneeded phdiff and unwarp files

---
 dmriprep/workflows/fieldmap/phdiff.py | 534 --------------------------
 dmriprep/workflows/fieldmap/unwarp.py | 362 -----------------
 2 files changed, 896 deletions(-)
 delete mode 100644 dmriprep/workflows/fieldmap/phdiff.py
 delete mode 100644 dmriprep/workflows/fieldmap/unwarp.py

diff --git a/dmriprep/workflows/fieldmap/phdiff.py b/dmriprep/workflows/fieldmap/phdiff.py
deleted file mode 100644
index 8591b230..00000000
--- a/dmriprep/workflows/fieldmap/phdiff.py
+++ /dev/null
@@ -1,534 +0,0 @@
-#!/usr/bin/env python
-
-"""
-.. _sdc_phasediff :
-Phase-difference B0 estimation
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-The field inhomogeneity inside the scanner (fieldmap) is proportional to the
-phase drift between two subsequent :abbr:`GRE (gradient recall echo)`
-sequence.
-Fieldmap preprocessing workflow for fieldmap data structure
-8.9.1 in BIDS 1.0.0: one phase diff and at least one magnitude image
-8.9.2 in BIDS 1.0.0: two phases and at least one magnitude image
-"""
-
-from nipype.interfaces import ants, fsl, utility as niu
-from nipype.pipeline import engine as pe
-from nipype.workflows.dmri.fsl.utils import siemens2rads, demean_image, \
-    cleanup_edge_pipeline
-'''
-from nipype.interfaces.base import (
-    traits, isdefined, Undefined,
-    TraitedSpec, BaseInterfaceInputSpec, DynamicTraitedSpec,
-    File, Directory, InputMultiObject, OutputMultiObject, Str,
-    SimpleInterface, InputMultiPath, OutputMultiPath
-)
-'''
-#from niworkflows.engine.workflows import LiterateWorkflow as Workflow
-#from niworkflows.interfaces.bids import ReadSidecarJSON
-#from niworkflows.interfaces.images import IntraModalMerge
-#from niworkflows.interfaces.masks import BETRPT
-
-from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
-
-def init_phdiff_wf(omp_nthreads, phasetype='phasediff', name='phdiff_wf'):
-    """
-    Estimates the fieldmap using a phase-difference image and one or more
-    magnitude images corresponding to two or more :abbr:`GRE (Gradient Echo sequence)`
-    acquisitions. The `original code was taken from nipype
-    <https://github.com/nipy/nipype/blob/master/nipype/workflows/dmri/fsl/artifacts.py#L514>`_.
-    .. workflow ::
-        :graph2use: orig
-        :simple_form: yes
-        from fmriprep.workflows.fieldmap.phdiff import init_phdiff_wf
-        wf = init_phdiff_wf(omp_nthreads=1)
-    Outputs::
-      outputnode.fmap_ref - The average magnitude image, skull-stripped
-      outputnode.fmap_mask - The brain mask applied to the fieldmap
-      outputnode.fmap - The estimated fieldmap in Hz
-    """
-
-    workflow = pe.Workflow(name=name)
-    '''
-    workflow.__desc__ = """\
-A deformation field to correct for susceptibility distortions was estimated
-based on a field map that was co-registered to the BOLD reference,
-using a custom workflow of *fMRIPrep* derived from D. Greve's `epidewarp.fsl`
-[script](http://www.nmr.mgh.harvard.edu/~greve/fbirn/b0/epidewarp.fsl) and
-further improvements of HCP Pipelines [@hcppipelines].
-"""
-    '''
-    inputnode = pe.Node(niu.IdentityInterface(fields=['magnitude', 'phasediff', 'layout']),
-                        name='inputnode')
-
-    outputnode = pe.Node(niu.IdentityInterface(
-        fields=['fmap', 'fmap_ref', 'fmap_mask']), name='outputnode')
-
-    # Merge input magnitude images
-    #magmrg = pe.Node(IntraModalMerge(), name='magmrg')
-    magmrg = pe.Node(
-        niu.Function(
-            input_names=["in_file", "hmc", "zero_based_avg", "to_ras"], output_names=["out_dict"], function=intra_modal_merge
-        ),
-        name="magmrg",
-    )
-
-    # de-gradient the fields ("bias/illumination artifact")
-    n4 = pe.Node(ants.N4BiasFieldCorrection(dimension=3, copy_header=True),
-                 name='n4', n_procs=omp_nthreads)
-    #bet = pe.Node(BETRPT(generate_report=True, frac=0.6, mask=True),
-    #              name='bet')
-    bet = pe.Node(fsl.BET(frac=0.6, mask=True),
-                  name='bet')
-    #ds_report_fmap_mask = pe.Node(DerivativesDataSink(
-    #    desc='brain', suffix='mask'), name='ds_report_fmap_mask',
-    #    mem_gb=0.01, run_without_submitting=True)
-
-    # uses mask from bet; outputs a mask
-    # dilate = pe.Node(fsl.maths.MathsCommand(
-    #     nan2zeros=True, args='-kernel sphere 5 -dilM'), name='MskDilate')
-
-    # FSL PRELUDE will perform phase-unwrapping
-    prelude = pe.Node(fsl.PRELUDE(), name='prelude')
-
-    denoise = pe.Node(fsl.SpatialFilter(operation='median', kernel_shape='sphere',
-                                        kernel_size=3), name='denoise')
-
-    demean = pe.Node(niu.Function(function=demean_image), name='demean')
-
-    cleanup_wf = cleanup_edge_pipeline(name="cleanup_wf")
-
-    compfmap = pe.Node(Phasediff2Fieldmap(), name='compfmap')
-
-    # The phdiff2fmap interface is equivalent to:
-    # rad2rsec (using rads2radsec from nipype.workflows.dmri.fsl.utils)
-    # pre_fugue = pe.Node(fsl.FUGUE(save_fmap=True), name='ComputeFieldmapFUGUE')
-    # rsec2hz (divide by 2pi)
-
-    if phasetype == "phasediff":
-        # Read phasediff echo times
-        #meta = pe.Node(ReadSidecarJSON(bids_validate=False), name='meta', mem_gb=0.01)
-
-        # phase diff -> radians
-        pha2rads = pe.Node(niu.Function(function=siemens2rads),
-                           name='pha2rads')
-        # Read phasediff echo times
-        #meta = pe.Node(ReadSidecarJSON(bids_validate=False), name='meta', mem_gb=0.01,
-        #               run_without_submitting=True)
-
-        meta = pe.Node(
-            niu.Function(
-                input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
-            ),
-            name="meta",
-        )
-
-        workflow.connect([
-            (meta, compfmap, [('out_dict', 'metadata')]),
-            (inputnode, pha2rads, [('phasediff', 'in_file')]),
-            (pha2rads, prelude, [('out', 'phase_file')]),
-            #(inputnode, ds_report_fmap_mask, [('phasediff', 'source_file')]),
-        ])
-
-    elif phasetype == "phase":
-        # Special case for phase1, phase2 images
-        #meta = pe.MapNode(ReadSidecarJSON(), name='meta', mem_gb=0.01,
-        #                  run_without_submitting=True, iterfield=['in_file'])
-
-        meta = pe.Node(
-            niu.Function(
-                input_names=["in_file", "in_layout"], output_names=["out_dict"], function=get_metadata
-            ),
-            name="meta",
-        )
-
-        phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
-        workflow.connect([
-            (meta, phases2fmap, [('out_dict', 'metadatas')]),
-            (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
-            (phases2fmap, prelude, [('out_file', 'phase_file')]),
-            (phases2fmap, compfmap, [('phasediff_metadata', 'metadata')]),
-            #(phases2fmap, ds_report_fmap_mask, [('out_file', 'source_file')])
-        ])
-
-    workflow.connect([
-        #(inputnode, meta, [('phasediff', 'in_file')]),
-        (
-            inputnode,
-            meta,
-            [
-                ('phasediff', 'in_file'),
-                ('layout', 'in_layout'),
-            ],
-        ),
-        (inputnode, magmrg, [('magnitude', 'in_files')]),
-        (magmrg, n4, [('out_avg', 'input_image')]),
-        (n4, prelude, [('output_image', 'magnitude_file')]),
-        (n4, bet, [('output_image', 'in_file')]),
-        (bet, prelude, [('mask_file', 'mask_file')]),
-        (prelude, denoise, [('unwrapped_phase_file', 'in_file')]),
-        (denoise, demean, [('out_file', 'in_file')]),
-        (demean, cleanup_wf, [('out', 'inputnode.in_file')]),
-        (bet, cleanup_wf, [('mask_file', 'inputnode.in_mask')]),
-        (cleanup_wf, compfmap, [('outputnode.out_file', 'in_file')]),
-        (compfmap, outputnode, [('out_file', 'fmap')]),
-        (bet, outputnode, [('mask_file', 'fmap_mask'),
-                           ('out_file', 'fmap_ref')]),
-        #(bet, ds_report_fmap_mask, [('out_report', 'in_file')]),
-    ])
-
-    return workflow
-
-def get_metadata(in_file, in_layout):
-    out_dict = in_layout.get_metadata(in_file)
-    return out_dict
-'''
-class ReadSidecarJSONInputSpec(BIDSBaseInputSpec):
-    in_file = File(exists=True, mandatory=True, desc='the input nifti file')
-
-
-class ReadSidecarJSONOutputSpec(BIDSInfoOutputSpec):
-    out_dict = traits.Dict()
-
-
-class ReadSidecarJSON(SimpleInterface):
-    input_spec = ReadSidecarJSONInputSpec
-    output_spec = ReadSidecarJSONOutputSpec
-    layout = None
-    _always_run = True
-
-    def __init__(self, fields=None, undef_fields=False, **inputs):
-        super(ReadSidecarJSON, self).__init__(**inputs)
-        self._fields = fields or []
-        if isinstance(self._fields, str):
-            self._fields = [self._fields]
-
-        self._undef_fields = undef_fields
-
-    def _outputs(self):
-        base = super(ReadSidecarJSON, self)._outputs()
-        if self._fields:
-            base = add_traits(base, self._fields)
-        return base
-
-    def _run_interface(self, runtime):
-        self.layout = self.inputs.bids_dir or self.layout
-        self.layout = _init_layout(self.inputs.in_file,
-                                   self.layout,
-                                   self.inputs.bids_validate)
-
-        # Fill in BIDS entities of the output ("*_id")
-        output_keys = list(BIDSInfoOutputSpec().get().keys())
-        params = self.layout.parse_file_entities(self.inputs.in_file)
-        self._results = {key: params.get(key.split('_')[0], Undefined)
-                         for key in output_keys}
-
-        # Fill in metadata
-        metadata = self.layout.get_metadata(self.inputs.in_file)
-        self._results['out_dict'] = metadata
-
-        # Set dynamic outputs if fields input is present
-        for fname in self._fields:
-            if not self._undef_fields and fname not in metadata:
-                raise KeyError(
-                    'Metadata field "%s" not found for file %s' % (
-                        fname, self.inputs.in_file))
-            self._results[fname] = metadata.get(fname, Undefined)
-        return runtime
-'''
-
-def intra_modal_merge(in_file, hmc, zero_based_avg, to_ras):
-    #OUTPUTS
-    # out_avg, out_file, out_mats, out_movpar
-
-    #in_files = self.inputs.in_files
-    #if not isinstance(in_files, list):
-    #    in_files = [self.inputs.in_files]
-    in_files = [in_file]
-
-    # Generate output average name early
-    #self._results['out_avg'] = fname_presuffix(self.inputs.in_files[0],
-    #                                           suffix='_avg', newpath=runtime.cwd)
-    out_avg = fname_presuffix(in_files, suffix='_avg', newpath=runtime.cwd)
-    if to_ras:
-        in_files = [reorient(inf, newpath=runtime.cwd)
-                    for inf in in_files]
-
-    if len(in_files) == 1:
-        filenii = nb.load(in_files[0])
-        filedata = filenii.get_data()
-
-        # magnitude files can have an extra dimension empty
-        if filedata.ndim == 5:
-            sqdata = np.squeeze(filedata)
-            if sqdata.ndim == 5:
-                raise RuntimeError('Input image (%s) is 5D' % in_files[0])
-            else:
-                in_files = [fname_presuffix(in_files[0], suffix='_squeezed',
-                                            newpath=runtime.cwd)]
-                nb.Nifti1Image(sqdata, filenii.affine,
-                               filenii.header).to_filename(in_files[0])
-
-        if np.squeeze(nb.load(in_files[0]).get_data()).ndim < 4:
-            out_file = in_files[0]
-            out_avg = in_files[0]
-            # TODO: generate identity out_mats and zero-filled out_movpar
-            return runtime
-        in_files = in_files[0]
-    else:
-        magmrg = fsl.Merge(dimension='t', in_files=in_files)
-        in_files = magmrg.run().outputs.merged_file
-    mcflirt = fsl.MCFLIRT(cost='normcorr', save_mats=True, save_plots=True,
-                          ref_vol=0, in_file=in_files)
-    mcres = mcflirt.run()
-    out_mats = mcres.outputs.mat_file
-    out_movpar = mcres.outputs.par_file
-    out_file = mcres.outputs.out_file
-
-    hmcnii = nb.load(mcres.outputs.out_file)
-    hmcdat = hmcnii.get_data().mean(axis=3)
-    if zero_based_avg:
-        hmcdat -= hmcdat.min()
-
-    nb.Nifti1Image(
-        hmcdat, hmcnii.affine, hmcnii.header).to_filename(
-        out_avg)
-
-    return runtime
-'''
-class IntraModalMergeInputSpec(BaseInterfaceInputSpec):
-    in_files = InputMultiPath(File(exists=True), mandatory=True,
-                              desc='input files')
-    hmc = traits.Bool(True, usedefault=True)
-    zero_based_avg = traits.Bool(True, usedefault=True)
-    to_ras = traits.Bool(True, usedefault=True)
-
-
-class IntraModalMergeOutputSpec(TraitedSpec):
-    out_file = File(exists=True, desc='merged image')
-    out_avg = File(exists=True, desc='average image')
-    out_mats = OutputMultiPath(File(exists=True), desc='output matrices')
-    out_movpar = OutputMultiPath(File(exists=True), desc='output movement parameters')
-
-
-class IntraModalMerge(SimpleInterface):
-    input_spec = IntraModalMergeInputSpec
-    output_spec = IntraModalMergeOutputSpec
-
-    def _run_interface(self, runtime):
-        in_files = self.inputs.in_files
-        if not isinstance(in_files, list):
-            in_files = [self.inputs.in_files]
-
-        # Generate output average name early
-        self._results['out_avg'] = fname_presuffix(self.inputs.in_files[0],
-                                                   suffix='_avg', newpath=runtime.cwd)
-
-        if self.inputs.to_ras:
-            in_files = [reorient(inf, newpath=runtime.cwd)
-                        for inf in in_files]
-
-        if len(in_files) == 1:
-            filenii = nb.load(in_files[0])
-            filedata = filenii.get_data()
-
-            # magnitude files can have an extra dimension empty
-            if filedata.ndim == 5:
-                sqdata = np.squeeze(filedata)
-                if sqdata.ndim == 5:
-                    raise RuntimeError('Input image (%s) is 5D' % in_files[0])
-                else:
-                    in_files = [fname_presuffix(in_files[0], suffix='_squeezed',
-                                                newpath=runtime.cwd)]
-                    nb.Nifti1Image(sqdata, filenii.affine,
-                                   filenii.header).to_filename(in_files[0])
-
-            if np.squeeze(nb.load(in_files[0]).get_data()).ndim < 4:
-                self._results['out_file'] = in_files[0]
-                self._results['out_avg'] = in_files[0]
-                # TODO: generate identity out_mats and zero-filled out_movpar
-                return runtime
-            in_files = in_files[0]
-        else:
-            magmrg = fsl.Merge(dimension='t', in_files=self.inputs.in_files)
-            in_files = magmrg.run().outputs.merged_file
-        mcflirt = fsl.MCFLIRT(cost='normcorr', save_mats=True, save_plots=True,
-                              ref_vol=0, in_file=in_files)
-        mcres = mcflirt.run()
-        self._results['out_mats'] = mcres.outputs.mat_file
-        self._results['out_movpar'] = mcres.outputs.par_file
-        self._results['out_file'] = mcres.outputs.out_file
-
-        hmcnii = nb.load(mcres.outputs.out_file)
-        hmcdat = hmcnii.get_data().mean(axis=3)
-        if self.inputs.zero_based_avg:
-            hmcdat -= hmcdat.min()
-
-        nb.Nifti1Image(
-            hmcdat, hmcnii.affine, hmcnii.header).to_filename(
-            self._results['out_avg'])
-
-        return runtime
-
-class DerivativesDataSinkInputSpec(DynamicTraitedSpec, BaseInterfaceInputSpec):
-    base_directory = traits.Directory(
-        desc='Path to the base directory for storing data.')
-    check_hdr = traits.Bool(True, usedefault=True, desc='fix headers of NIfTI outputs')
-    compress = traits.Bool(desc="force compression (True) or uncompression (False)"
-                                " of the output file (default: same as input)")
-    desc = Str('', usedefault=True, desc='Label for description field')
-    extra_values = traits.List(Str)
-    in_file = InputMultiObject(File(exists=True), mandatory=True,
-                               desc='the object to be saved')
-    keep_dtype = traits.Bool(False, usedefault=True, desc='keep datatype suffix')
-    meta_dict = traits.DictStrAny(desc='an input dictionary containing metadata')
-    source_file = File(exists=False, mandatory=True, desc='the input func file')
-    space = Str('', usedefault=True, desc='Label for space field')
-    suffix = Str('', usedefault=True, desc='suffix appended to source_file')
-
-
-class DerivativesDataSinkOutputSpec(TraitedSpec):
-    out_file = OutputMultiObject(File(exists=True, desc='written file path'))
-    out_meta = OutputMultiObject(File(exists=True, desc='written JSON sidecar path'))
-    compression = OutputMultiObject(
-        traits.Bool, desc='whether ``in_file`` was compressed/uncompressed '
-                          'or `it was copied directly.')
-    fixed_hdr = traits.List(traits.Bool, desc='whether derivative header was fixed')
-
-
-class DerivativesDataSink(SimpleInterface):
-    input_spec = DerivativesDataSinkInputSpec
-    output_spec = DerivativesDataSinkOutputSpec
-    out_path_base = "niworkflows"
-    _always_run = True
-
-    def __init__(self, allowed_entities=None, out_path_base=None, **inputs):
-        self._allowed_entities = allowed_entities or []
-
-        self._metadata = {}
-        self._static_traits = self.input_spec.class_editable_traits() + self._allowed_entities
-        for dynamic_input in set(inputs) - set(self._static_traits):
-            self._metadata[dynamic_input] = inputs.pop(dynamic_input)
-
-        super(DerivativesDataSink, self).__init__(**inputs)
-        if self._allowed_entities:
-            add_traits(self.inputs, self._allowed_entities)
-            for k in set(self._allowed_entities).intersection(list(inputs.keys())):
-                setattr(self.inputs, k, inputs[k])
-
-        self._results['out_file'] = []
-        if out_path_base:
-            self.out_path_base = out_path_base
-
-    def _run_interface(self, runtime):
-        if isdefined(self.inputs.meta_dict):
-            meta = self.inputs.meta_dict
-            # inputs passed in construction take priority
-            meta.update(self._metadata)
-            self._metadata = meta
-
-        src_fname, _ = _splitext(self.inputs.source_file)
-        src_fname, dtype = src_fname.rsplit('_', 1)
-        _, ext = _splitext(self.inputs.in_file[0])
-        if self.inputs.compress is True and not ext.endswith('.gz'):
-            ext += '.gz'
-        elif self.inputs.compress is False and ext.endswith('.gz'):
-            ext = ext[:-3]
-
-        m = BIDS_NAME.search(src_fname)
-
-        mod = Path(self.inputs.source_file).parent.name
-
-        base_directory = runtime.cwd
-        if isdefined(self.inputs.base_directory):
-            base_directory = self.inputs.base_directory
-
-        base_directory = Path(base_directory).resolve()
-        out_path = base_directory / self.out_path_base / \
-            '{subject_id}'.format(**m.groupdict())
-
-        if m.groupdict().get('session_id') is not None:
-            out_path = out_path / '{session_id}'.format(**m.groupdict())
-
-        out_path = out_path / '{}'.format(mod)
-        out_path.mkdir(exist_ok=True, parents=True)
-        base_fname = str(out_path / src_fname)
-
-        allowed_entities = {}
-        for key in self._allowed_entities:
-            value = getattr(self.inputs, key)
-            if value is not None and isdefined(value):
-                allowed_entities[key] = '_%s-%s' % (key, value)
-
-        formatbase = '{bname}{space}{desc}' + ''.join(
-            [allowed_entities.get(s, '') for s in self._allowed_entities])
-
-        formatstr = formatbase + '{extra}{suffix}{dtype}{ext}'
-        if len(self.inputs.in_file) > 1 and not isdefined(self.inputs.extra_values):
-            formatstr = formatbase + '{suffix}{i:04d}{dtype}{ext}'
-
-        space = '_space-{}'.format(self.inputs.space) if self.inputs.space else ''
-        desc = '_desc-{}'.format(self.inputs.desc) if self.inputs.desc else ''
-        suffix = '_{}'.format(self.inputs.suffix) if self.inputs.suffix else ''
-        dtype = '' if not self.inputs.keep_dtype else ('_%s' % dtype)
-
-        self._results['compression'] = []
-        self._results['fixed_hdr'] = [False] * len(self.inputs.in_file)
-
-        for i, fname in enumerate(self.inputs.in_file):
-            extra = ''
-            if isdefined(self.inputs.extra_values):
-                extra = '_{}'.format(self.inputs.extra_values[i])
-            out_file = formatstr.format(
-                bname=base_fname,
-                space=space,
-                desc=desc,
-                extra=extra,
-                suffix=suffix,
-                i=i,
-                dtype=dtype,
-                ext=ext,
-            )
-            self._results['out_file'].append(out_file)
-            self._results['compression'].append(_copy_any(fname, out_file))
-
-            is_nii = out_file.endswith('.nii') or out_file.endswith('.nii.gz')
-            if self.inputs.check_hdr and is_nii:
-                nii = nb.load(out_file)
-                if not isinstance(nii, (nb.Nifti1Image, nb.Nifti2Image)):
-                    # .dtseries.nii are CIfTI2, therefore skip check
-                    return runtime
-                hdr = nii.header.copy()
-                curr_units = tuple([None if u == 'unknown' else u
-                                    for u in hdr.get_xyzt_units()])
-                curr_codes = (int(hdr['qform_code']), int(hdr['sform_code']))
-
-                # Default to mm, use sec if data type is bold
-                units = (curr_units[0] or 'mm', 'sec' if dtype == '_bold' else None)
-                xcodes = (1, 1)  # Derivative in its original scanner space
-                if self.inputs.space:
-                    xcodes = (4, 4) if self.inputs.space in STANDARD_SPACES \
-                        else (2, 2)
-
-                if curr_codes != xcodes or curr_units != units:
-                    self._results['fixed_hdr'][i] = True
-                    hdr.set_qform(nii.affine, xcodes[0])
-                    hdr.set_sform(nii.affine, xcodes[1])
-                    hdr.set_xyzt_units(*units)
-
-                    # Rewrite file with new header
-                    nii.__class__(np.array(nii.dataobj), nii.affine, hdr).to_filename(
-                        out_file)
-
-        if len(self._results['out_file']) == 1:
-            meta_fields = self.inputs.copyable_trait_names()
-            self._metadata.update({
-                k: getattr(self.inputs, k)
-                for k in meta_fields if k not in self._static_traits})
-            if self._metadata:
-                sidecar = (Path(self._results['out_file'][0]).parent /
-                           ('%s.json' % _splitext(self._results['out_file'][0])[0]))
-                sidecar.write_text(dumps(self._metadata, sort_keys=True, indent=2))
-                self._results['out_meta'] = str(sidecar)
-        return runtime
-'''
diff --git a/dmriprep/workflows/fieldmap/unwarp.py b/dmriprep/workflows/fieldmap/unwarp.py
deleted file mode 100644
index 0fb8c306..00000000
--- a/dmriprep/workflows/fieldmap/unwarp.py
+++ /dev/null
@@ -1,362 +0,0 @@
-#!/usr/bin/env python
-
-"""
-.. _sdc_unwarp :
-
-Unwarping
-~~~~~~~~~
-
-.. topic :: Abbreviations
-
-    fmap
-        fieldmap
-    VSM
-        voxel-shift map -- a 3D nifti where displacements are in pixels (not mm)
-    DFM
-        displacements field map -- a nifti warp file compatible with ANTs (mm)
-
-"""
-
-import pkg_resources as pkgr
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import ants, fsl, utility as niu
-#from niworkflows.engine.workflows import LiterateWorkflow as Workflow
-#from niworkflows.interfaces import itk
-#from niworkflows.interfaces.images import DemeanImage, FilledImageLike
-#from niworkflows.interfaces.registration import ANTSApplyTransformsRPT, ANTSRegistrationRPT
-from nipype.interfaces.base import (
-    traits, isdefined, Undefined,
-    TraitedSpec, BaseInterfaceInputSpec, DynamicTraitedSpec,
-    File, Directory, InputMultiObject, OutputMultiObject, Str,
-    SimpleInterface, InputMultiPath, OutputMultiPath
-)
-#from ...interfaces import DerivativesDataSink
-from ...interfaces.fmap import get_ees as _get_ees, FieldToRadS
-from ..bold.util import init_enhance_and_skullstrip_bold_wf
-
-def init_sdc_unwarp_wf(omp_nthreads, fmap_demean, debug, name='sdc_unwarp_wf'):
-    """
-    This workflow takes in a displacements fieldmap and calculates the corresponding
-    displacements field (in other words, an ANTs-compatible warp file).
-
-    It also calculates a new mask for the input dataset that takes into account the distortions.
-    The mask is restricted to the field of view of the fieldmap since outside of it corrections
-    could not be performed.
-
-    .. workflow ::
-        :graph2use: orig
-        :simple_form: yes
-
-        from fmriprep.workflows.fieldmap.unwarp import init_sdc_unwarp_wf
-        wf = init_sdc_unwarp_wf(omp_nthreads=8,
-                                fmap_demean=True,
-                                debug=False)
-
-
-    Inputs
-
-        in_reference
-            the reference image
-        in_reference_brain
-            the reference image (skull-stripped)
-        in_mask
-            a brain mask corresponding to ``in_reference``
-        metadata
-            metadata associated to the ``in_reference`` EPI input
-        fmap
-            the fieldmap in Hz
-        fmap_ref
-            the reference (anatomical) image corresponding to ``fmap``
-        fmap_mask
-            a brain mask corresponding to ``fmap``
-
-
-    Outputs
-
-        out_reference
-            the ``in_reference`` after unwarping
-        out_reference_brain
-            the ``in_reference`` after unwarping and skullstripping
-        out_warp
-            the corresponding :abbr:`DFM (displacements field map)` compatible with
-            ANTs
-        out_jacobian
-            the jacobian of the field (for drop-out alleviation)
-        out_mask
-            mask of the unwarped input file
-
-    """
-
-    workflow = pe.Workflow(name=name)
-    inputnode = pe.Node(niu.IdentityInterface(
-        fields=['in_reference', 'in_reference_brain', 'in_mask', 'metadata',
-                'fmap_ref', 'fmap_mask', 'fmap']), name='inputnode')
-    outputnode = pe.Node(niu.IdentityInterface(
-        fields=['out_reference', 'out_reference_brain', 'out_warp', 'out_mask',
-                'out_jacobian']), name='outputnode')
-
-    # Register the reference of the fieldmap to the reference
-    # of the target image (the one that shall be corrected)
-    ants_settings = pkgr.resource_filename('fmriprep', 'data/fmap-any_registration.json')
-    if debug:
-        ants_settings = pkgr.resource_filename(
-            'fmriprep', 'data/fmap-any_registration_testing.json')
-    fmap2ref_reg = pe.Node(
-        ANTSRegistrationRPT(generate_report=True, from_file=ants_settings,
-                            output_inverse_warped_image=True, output_warped_image=True),
-        name='fmap2ref_reg', n_procs=omp_nthreads)
-
-    ds_report_reg = pe.Node(DerivativesDataSink(
-        desc='magnitude', suffix='bold'), name='ds_report_reg',
-        mem_gb=0.01, run_without_submitting=True)
-
-    # Map the VSM into the EPI space
-    fmap2ref_apply = pe.Node(ANTSApplyTransformsRPT(
-        generate_report=True, dimension=3, interpolation='BSpline', float=True),
-        name='fmap2ref_apply')
-
-    fmap_mask2ref_apply = pe.Node(ANTSApplyTransformsRPT(
-        generate_report=False, dimension=3, interpolation='MultiLabel',
-        float=True),
-        name='fmap_mask2ref_apply')
-
-    ds_report_vsm = pe.Node(DerivativesDataSink(
-        desc='fieldmap', suffix='bold'), name='ds_report_vsm',
-        mem_gb=0.01, run_without_submitting=True)
-
-    # Fieldmap to rads and then to voxels (VSM - voxel shift map)
-    torads = pe.Node(FieldToRadS(fmap_range=0.5), name='torads')
-
-    get_ees = pe.Node(niu.Function(function=_get_ees, output_names=['ees']), name='get_ees')
-
-    gen_vsm = pe.Node(fsl.FUGUE(save_unmasked_shift=True), name='gen_vsm')
-    # Convert the VSM into a DFM (displacements field map)
-    # or: FUGUE shift to ANTS warping.
-    vsm2dfm = pe.Node(itk.FUGUEvsm2ANTSwarp(), name='vsm2dfm')
-    jac_dfm = pe.Node(ants.CreateJacobianDeterminantImage(
-        imageDimension=3, outputImage='jacobian.nii.gz'), name='jac_dfm')
-
-    unwarp_reference = pe.Node(ANTSApplyTransformsRPT(dimension=3,
-                                                      generate_report=False,
-                                                      float=True,
-                                                      interpolation='LanczosWindowedSinc'),
-                               name='unwarp_reference')
-
-    fieldmap_fov_mask = pe.Node(FilledImageLike(dtype='uint8'), name='fieldmap_fov_mask')
-
-    fmap_fov2ref_apply = pe.Node(ANTSApplyTransformsRPT(
-        generate_report=False, dimension=3, interpolation='NearestNeighbor',
-        float=True),
-        name='fmap_fov2ref_apply')
-
-    apply_fov_mask = pe.Node(fsl.ApplyMask(), name="apply_fov_mask")
-
-    enhance_and_skullstrip_bold_wf = init_enhance_and_skullstrip_bold_wf(omp_nthreads=omp_nthreads,
-                                                                         pre_mask=True)
-
-    workflow.connect([
-        (inputnode, fmap2ref_reg, [('fmap_ref', 'moving_image')]),
-        (inputnode, fmap2ref_apply, [('in_reference', 'reference_image')]),
-        (fmap2ref_reg, fmap2ref_apply, [
-            ('composite_transform', 'transforms')]),
-        (inputnode, fmap_mask2ref_apply, [('in_reference', 'reference_image')]),
-        (fmap2ref_reg, fmap_mask2ref_apply, [
-            ('composite_transform', 'transforms')]),
-        (fmap2ref_apply, ds_report_vsm, [('out_report', 'in_file')]),
-        (inputnode, fmap2ref_reg, [('in_reference_brain', 'fixed_image')]),
-        #(fmap2ref_reg, ds_report_reg, [('out_report', 'in_file')]),
-        (inputnode, fmap2ref_apply, [('fmap', 'input_image')]),
-        (inputnode, fmap_mask2ref_apply, [('fmap_mask', 'input_image')]),
-        (fmap2ref_apply, torads, [('output_image', 'in_file')]),
-        (inputnode, get_ees, [('in_reference', 'in_file'),
-                              ('metadata', 'in_meta')]),
-        (fmap_mask2ref_apply, gen_vsm, [('output_image', 'mask_file')]),
-        (get_ees, gen_vsm, [('ees', 'dwell_time')]),
-        (inputnode, gen_vsm, [(('metadata', _get_pedir_fugue), 'unwarp_direction')]),
-        (inputnode, vsm2dfm, [(('metadata', _get_pedir_bids), 'pe_dir')]),
-        (torads, gen_vsm, [('out_file', 'fmap_in_file')]),
-        (vsm2dfm, unwarp_reference, [('out_file', 'transforms')]),
-        (inputnode, unwarp_reference, [('in_reference', 'reference_image')]),
-        (inputnode, unwarp_reference, [('in_reference', 'input_image')]),
-        (vsm2dfm, outputnode, [('out_file', 'out_warp')]),
-        (vsm2dfm, jac_dfm, [('out_file', 'deformationField')]),
-        (inputnode, fieldmap_fov_mask, [('fmap_ref', 'in_file')]),
-        (fieldmap_fov_mask, fmap_fov2ref_apply, [('out_file', 'input_image')]),
-        (inputnode, fmap_fov2ref_apply, [('in_reference', 'reference_image')]),
-        (fmap2ref_reg, fmap_fov2ref_apply, [('composite_transform', 'transforms')]),
-        (fmap_fov2ref_apply, apply_fov_mask, [('output_image', 'mask_file')]),
-        (unwarp_reference, apply_fov_mask, [('output_image', 'in_file')]),
-        (apply_fov_mask, enhance_and_skullstrip_bold_wf, [('out_file', 'inputnode.in_file')]),
-        (fmap_mask2ref_apply, enhance_and_skullstrip_bold_wf,
-            [('output_image', 'inputnode.pre_mask')]),
-        (apply_fov_mask, outputnode, [('out_file', 'out_reference')]),
-        (enhance_and_skullstrip_bold_wf, outputnode, [
-            ('outputnode.mask_file', 'out_mask'),
-            ('outputnode.skull_stripped_file', 'out_reference_brain')]),
-        (jac_dfm, outputnode, [('jacobian_image', 'out_jacobian')]),
-    ])
-
-    if fmap_demean:
-        # Demean within mask
-        demean = pe.Node(DemeanImage(), name='demean')
-
-        workflow.connect([
-            (gen_vsm, demean, [('shift_out_file', 'in_file')]),
-            (fmap_mask2ref_apply, demean, [('output_image', 'in_mask')]),
-            (demean, vsm2dfm, [('out_file', 'in_file')]),
-        ])
-
-    else:
-        workflow.connect([
-            (gen_vsm, vsm2dfm, [('shift_out_file', 'in_file')]),
-        ])
-
-    return workflow
-
-
-def init_fmap_unwarp_report_wf(name='fmap_unwarp_report_wf', forcedsyn=False):
-    """
-    This workflow generates and saves a reportlet showing the effect of fieldmap
-    unwarping a BOLD image.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from fmriprep.workflows.fieldmap.unwarp import init_fmap_unwarp_report_wf
-        wf = init_fmap_unwarp_report_wf()
-
-    **Parameters**
-
-        name : str, optional
-            Workflow name (default: fmap_unwarp_report_wf)
-        forcedsyn : bool, optional
-            Whether SyN-SDC was forced.
-
-    **Inputs**
-
-        in_pre
-            Reference image, before unwarping
-        in_post
-            Reference image, after unwarping
-        in_seg
-            Segmentation of preprocessed structural image, including
-            gray-matter (GM), white-matter (WM) and cerebrospinal fluid (CSF)
-        in_xfm
-            Affine transform from T1 space to BOLD space (ITK format)
-
-    """
-    from niworkflows.interfaces import SimpleBeforeAfter
-    from niworkflows.interfaces.fixes import FixHeaderApplyTransforms as ApplyTransforms
-    from niworkflows.interfaces.images import extract_wm
-
-    DEFAULT_MEMORY_MIN_GB = 0.01
-
-    workflow = Workflow(name=name)
-
-    inputnode = pe.Node(niu.IdentityInterface(
-        fields=['in_pre', 'in_post', 'in_seg', 'in_xfm']), name='inputnode')
-
-    map_seg = pe.Node(ApplyTransforms(
-        dimension=3, float=True, interpolation='MultiLabel'),
-        name='map_seg', mem_gb=0.3)
-
-    sel_wm = pe.Node(niu.Function(function=extract_wm), name='sel_wm',
-                     mem_gb=DEFAULT_MEMORY_MIN_GB)
-
-    bold_rpt = pe.Node(SimpleBeforeAfter(), name='bold_rpt',
-                       mem_gb=0.1)
-    #ds_report_sdc = pe.Node(
-    #    DerivativesDataSink(desc='sdc' if not forcedsyn else 'forcedsyn',
-    #                        suffix='bold'), name='ds_report_sdc',
-    #    mem_gb=DEFAULT_MEMORY_MIN_GB, run_without_submitting=True
-    #)
-
-    workflow.connect([
-        (inputnode, bold_rpt, [('in_post', 'after'),
-                               ('in_pre', 'before')]),
-        #(bold_rpt, ds_report_sdc, [('out_report', 'in_file')]),
-        (inputnode, map_seg, [('in_post', 'reference_image'),
-                              ('in_seg', 'input_image'),
-                              ('in_xfm', 'transforms')]),
-        (map_seg, sel_wm, [('output_image', 'in_seg')]),
-        (sel_wm, bold_rpt, [('out', 'wm_seg')]),
-    ])
-
-    return workflow
-
-class FUGUEvsm2ANTSwarpInputSpec(BaseInterfaceInputSpec):
-    in_file = File(exists=True, mandatory=True,
-                   desc='input displacements field map')
-    pe_dir = traits.Enum('i', 'i-', 'j', 'j-', 'k', 'k-',
-                         desc='phase-encoding axis')
-
-
-class FUGUEvsm2ANTSwarpOutputSpec(TraitedSpec):
-    out_file = File(desc='the output warp field')
-
-
-class FUGUEvsm2ANTSwarp(SimpleInterface):
-
-    """
-    Convert a voxel-shift-map to ants warp
-    """
-    input_spec = FUGUEvsm2ANTSwarpInputSpec
-    output_spec = FUGUEvsm2ANTSwarpOutputSpec
-
-    def _run_interface(self, runtime):
-
-        nii = nb.load(self.inputs.in_file)
-
-        phaseEncDim = {'i': 0, 'j': 1, 'k': 2}[self.inputs.pe_dir[0]]
-
-        if len(self.inputs.pe_dir) == 2:
-            phaseEncSign = 1.0
-        else:
-            phaseEncSign = -1.0
-
-        # Fix header
-        hdr = nii.header.copy()
-        hdr.set_data_dtype(np.dtype('<f4'))
-        hdr.set_intent('vector', (), '')
-
-        # Get data, convert to mm
-        data = nii.get_data()
-
-        aff = np.diag([1.0, 1.0, -1.0])
-        if np.linalg.det(aff) < 0 and phaseEncDim != 0:
-            # Reverse direction since ITK is LPS
-            aff *= -1.0
-
-        aff = aff.dot(nii.affine[:3, :3])
-
-        data *= phaseEncSign * nii.header.get_zooms()[phaseEncDim]
-
-        # Add missing dimensions
-        zeros = np.zeros_like(data)
-        field = [zeros, zeros]
-        field.insert(phaseEncDim, data)
-        field = np.stack(field, -1)
-        # Add empty axis
-        field = field[:, :, :, np.newaxis, :]
-
-        # Write out
-        self._results['out_file'] = fname_presuffix(
-            self.inputs.in_file, suffix='_antswarp', newpath=runtime.cwd)
-        nb.Nifti1Image(
-            field.astype(np.dtype('<f4')), nii.affine, hdr).to_filename(
-                self._results['out_file'])
-
-        return runtime
-
-# Helper functions
-# ------------------------------------------------------------
-
-
-def _get_pedir_bids(in_dict):
-    return in_dict['PhaseEncodingDirection']
-
-
-def _get_pedir_fugue(in_dict):
-    return in_dict['PhaseEncodingDirection'].replace('i', 'x').replace('j', 'y').replace('k', 'z')

From 211181e33da4be1f36f353cdbec67b2562f9f5f9 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 15:03:16 -0400
Subject: [PATCH 039/156] remove unnecessary files

---
 .travis.yml                                   |    53 +-
 AUTHORS.md                                    |    11 -
 AUTHORS.rst                                   |    10 +
 Dockerfile-dmriprep                           |     6 -
 HISTORY.rst                                   |     2 +-
 Makefile                                      |     6 -
 dmriprep-docker                               |    22 -
 dmriprepViewer/.babelrc                       |    18 -
 dmriprepViewer/.editorconfig                  |     9 -
 dmriprepViewer/.eslintignore                  |     5 -
 dmriprepViewer/.eslintrc.js                   |    50 -
 dmriprepViewer/.gitignore                     |    17 -
 dmriprepViewer/.postcssrc.js                  |    10 -
 dmriprepViewer/README.md                      |    30 -
 dmriprepViewer/build/build.js                 |    41 -
 dmriprepViewer/build/check-versions.js        |    54 -
 dmriprepViewer/build/logo.png                 |   Bin 6849 -> 0 bytes
 dmriprepViewer/build/utils.js                 |   101 -
 dmriprepViewer/build/vue-loader.conf.js       |    22 -
 dmriprepViewer/build/webpack.base.conf.js     |    92 -
 dmriprepViewer/build/webpack.dev.conf.js      |    95 -
 dmriprepViewer/build/webpack.prod.conf.js     |   149 -
 dmriprepViewer/config/dev.env.js              |     7 -
 dmriprepViewer/config/index.js                |    76 -
 dmriprepViewer/config/prod.env.js             |     4 -
 dmriprepViewer/config/test.env.js             |     7 -
 dmriprepViewer/deploy.sh                      |    36 -
 dmriprepViewer/index.html                     |    12 -
 dmriprepViewer/package-lock.json              | 15340 ----------------
 dmriprepViewer/package.json                   |    91 -
 dmriprepViewer/src/App.vue                    |    30 -
 dmriprepViewer/src/assets/logo.svg            |     1 -
 dmriprepViewer/src/components/BrainSprite.vue |    75 -
 dmriprepViewer/src/components/Bucket.vue      |   195 -
 dmriprepViewer/src/components/GroupStats.vue  |    96 -
 dmriprepViewer/src/components/HelloWorld.vue  |   114 -
 dmriprepViewer/src/components/LineChart.vue   |   191 -
 dmriprepViewer/src/components/Report.vue      |   162 -
 dmriprepViewer/src/components/Sprite4D.vue    |    63 -
 dmriprepViewer/src/components/brainsprite.js  |   587 -
 dmriprepViewer/src/main.js                    |    15 -
 dmriprepViewer/src/router/index.js            |    27 -
 dmriprepViewer/static/.gitkeep                |     0
 .../e2e/custom-assertions/elementCount.js     |    27 -
 dmriprepViewer/test/e2e/nightwatch.conf.js    |    46 -
 dmriprepViewer/test/e2e/runner.js             |    48 -
 dmriprepViewer/test/e2e/specs/test.js         |    19 -
 dmriprepViewer/test/unit/.eslintrc            |     7 -
 dmriprepViewer/test/unit/jest.conf.js         |    30 -
 dmriprepViewer/test/unit/setup.js             |     3 -
 .../test/unit/specs/HelloWorld.spec.js        |    11 -
 docker/Dockerfile                             |   174 -
 docker/environment.yml                        |    17 -
 docker/license.txt                            |     4 -
 kubernetes/create_kube_job.py                 |    27 -
 kubernetes/delete_cluster.sh                  |     2 -
 kubernetes/delete_job.sh                      |     2 -
 kubernetes/docker/build_tag_push.sh           |     4 -
 kubernetes/docker/dmriprep_all.sh             |     6 -
 kubernetes/docker/dockerfile-dmriprep-kube    |     3 -
 kubernetes/run_dmriprep.yml.tmpl              |    17 -
 kubernetes/run_job.sh                         |     2 -
 kubernetes/setup_gcp_kubernetes_dmriprep.sh   |    18 -
 pyproject.toml                                |    22 +
 tox.ini                                       |    10 +-
 65 files changed, 62 insertions(+), 18369 deletions(-)
 delete mode 100644 AUTHORS.md
 create mode 100644 AUTHORS.rst
 delete mode 100644 Dockerfile-dmriprep
 delete mode 100755 dmriprep-docker
 delete mode 100644 dmriprepViewer/.babelrc
 delete mode 100644 dmriprepViewer/.editorconfig
 delete mode 100644 dmriprepViewer/.eslintignore
 delete mode 100644 dmriprepViewer/.eslintrc.js
 delete mode 100644 dmriprepViewer/.gitignore
 delete mode 100644 dmriprepViewer/.postcssrc.js
 delete mode 100644 dmriprepViewer/README.md
 delete mode 100644 dmriprepViewer/build/build.js
 delete mode 100644 dmriprepViewer/build/check-versions.js
 delete mode 100644 dmriprepViewer/build/logo.png
 delete mode 100644 dmriprepViewer/build/utils.js
 delete mode 100644 dmriprepViewer/build/vue-loader.conf.js
 delete mode 100644 dmriprepViewer/build/webpack.base.conf.js
 delete mode 100755 dmriprepViewer/build/webpack.dev.conf.js
 delete mode 100644 dmriprepViewer/build/webpack.prod.conf.js
 delete mode 100644 dmriprepViewer/config/dev.env.js
 delete mode 100644 dmriprepViewer/config/index.js
 delete mode 100644 dmriprepViewer/config/prod.env.js
 delete mode 100644 dmriprepViewer/config/test.env.js
 delete mode 100644 dmriprepViewer/deploy.sh
 delete mode 100644 dmriprepViewer/index.html
 delete mode 100644 dmriprepViewer/package-lock.json
 delete mode 100644 dmriprepViewer/package.json
 delete mode 100644 dmriprepViewer/src/App.vue
 delete mode 100644 dmriprepViewer/src/assets/logo.svg
 delete mode 100644 dmriprepViewer/src/components/BrainSprite.vue
 delete mode 100644 dmriprepViewer/src/components/Bucket.vue
 delete mode 100644 dmriprepViewer/src/components/GroupStats.vue
 delete mode 100644 dmriprepViewer/src/components/HelloWorld.vue
 delete mode 100644 dmriprepViewer/src/components/LineChart.vue
 delete mode 100644 dmriprepViewer/src/components/Report.vue
 delete mode 100644 dmriprepViewer/src/components/Sprite4D.vue
 delete mode 100644 dmriprepViewer/src/components/brainsprite.js
 delete mode 100644 dmriprepViewer/src/main.js
 delete mode 100644 dmriprepViewer/src/router/index.js
 delete mode 100644 dmriprepViewer/static/.gitkeep
 delete mode 100644 dmriprepViewer/test/e2e/custom-assertions/elementCount.js
 delete mode 100644 dmriprepViewer/test/e2e/nightwatch.conf.js
 delete mode 100644 dmriprepViewer/test/e2e/runner.js
 delete mode 100644 dmriprepViewer/test/e2e/specs/test.js
 delete mode 100644 dmriprepViewer/test/unit/.eslintrc
 delete mode 100644 dmriprepViewer/test/unit/jest.conf.js
 delete mode 100644 dmriprepViewer/test/unit/setup.js
 delete mode 100644 dmriprepViewer/test/unit/specs/HelloWorld.spec.js
 delete mode 100644 docker/Dockerfile
 delete mode 100644 docker/environment.yml
 delete mode 100644 docker/license.txt
 delete mode 100755 kubernetes/create_kube_job.py
 delete mode 100755 kubernetes/delete_cluster.sh
 delete mode 100755 kubernetes/delete_job.sh
 delete mode 100755 kubernetes/docker/build_tag_push.sh
 delete mode 100755 kubernetes/docker/dmriprep_all.sh
 delete mode 100644 kubernetes/docker/dockerfile-dmriprep-kube
 delete mode 100644 kubernetes/run_dmriprep.yml.tmpl
 delete mode 100755 kubernetes/run_job.sh
 delete mode 100755 kubernetes/setup_gcp_kubernetes_dmriprep.sh
 create mode 100644 pyproject.toml

diff --git a/.travis.yml b/.travis.yml
index 9a7b84e9..fee7fbc0 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,25 +1,28 @@
-sudo: false
-language: node_js
-node_js:
-- '6.0'
-cache:
-  directories:
-  - dmriprepViewer/node_modules
-branches:
-  only:
-  - master
-notifications:
-  email: false
-before_script:
-- cd dmriprepViewer
-- npm prune
-script:
-- npm install
-- npm run build
-after_success:
-- bash ./deploy.sh
-env:
-  global:
-  - GH_USER: nipy
-  - GH_REPO: dmriprep
-  - secure: raeexu68fu/Hu4Ey0VkP3ljvAJut2X8xRAkTXO9nL6HlWQGt1pjYhXSxaLLZVQpgpDcDeOziUUCb4y7UALFHTkIrYrzp/Jq3Cn10tmsItEMAhH0cfzTuMr0Huhl/Zeiw67Qn16W7xpYEtV7zHBOYicQIFvzAOhNWDy/A/9c7XkKsEU47FqN/vxodCv+WMHQyvuM3ceaofccF+mVekAg7PztPrukzpwP+uishNfSeoHI3WeUDjX82bQZ3KE/oRHrB+YCB5rFg0wfekfsUnkyhS9HWF9CECM5mKWcPle0AZpjQXODrUIXk8dRSAprAzD1XGxRzmYG3nYPGx9a6gm6ofueHbLPery/0cLVYNX4IHBR2UpW6aA9VsgMBgG8LAdGiMqvvio2CZ+/tGdmIXx5twRCTGaJ4qJUdyyL881ChaUl8rBde7R8EtCBThKeV8Tnnun2PfLPt12qAc+EAc1r6a9zf/Mb8ahjTrZSU1heUn5irs44KvJk+QuftW9hF6hIvBfug7SHBIAdvyCd8TjMNShJNVPqQZU6NWSwTAGAj4Y/QsocvxYRoKHIhpyHbMZ+Lj+P27VfNYdkTe/viQcLEg8x4YYHCaKiYl4iwepEtyevtbtzUtb1Ba5clotgisw/PFao9q6GrWuy57eb/ZM8aKSHfb4JhN0swmi1t0uBOzP0=
+# Config file for automatic testing at travis-ci.org
+
+language: python
+python:
+  - 3.7
+  - 3.6
+  - 3.5
+
+# Command to install dependencies, e.g. pip install -r requirements.txt --use-mirrors
+install: pip install -U tox-travis
+
+# Command to run tests, e.g. python setup.py test
+script: tox
+
+# Assuming you have installed the travis-ci CLI tool, after you
+# create the Github repo and add it to Travis, run the
+# following command to finish PyPI deployment setup:
+# $ travis encrypt --add deploy.password
+deploy:
+  provider: pypi
+  distributions: sdist bdist_wheel
+  user: josephmje
+  password:
+    secure: PLEASE_REPLACE_ME
+  on:
+    tags: true
+    repo: tigrlab/dmripreproc
+    python: 3.7
diff --git a/AUTHORS.md b/AUTHORS.md
deleted file mode 100644
index 6312fe10..00000000
--- a/AUTHORS.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# Credits
-
-## Development Leads
-
-- Anisha Keshavan <keshavan@berkeley.edu> [Corresponding developer]
-- Adam Richie-Halford <richiehalford@gmail.com>
-
-## Contributors
-
-- Ariel Rokem <arokem@uw.edu>
-- Add your name here
diff --git a/AUTHORS.rst b/AUTHORS.rst
new file mode 100644
index 00000000..bf162e51
--- /dev/null
+++ b/AUTHORS.rst
@@ -0,0 +1,10 @@
+# Credits
+
+## Development Leads
+
+- Michael Joseph <michael.joseph@camh.ca> [Corresponding developer]
+- Salim Mansour <salim.mansour@camh.ca>
+
+## Contributors
+
+None yet. Why not be the first?
diff --git a/Dockerfile-dmriprep b/Dockerfile-dmriprep
deleted file mode 100644
index 6343c373..00000000
--- a/Dockerfile-dmriprep
+++ /dev/null
@@ -1,6 +0,0 @@
-FROM dmriprep:dev
-
-ADD . /dmriprep
-WORKDIR /dmriprep
-RUN /neurodocker/startup.sh python setup.py install
-WORKDIR /
diff --git a/HISTORY.rst b/HISTORY.rst
index a7ebd0a9..96674295 100644
--- a/HISTORY.rst
+++ b/HISTORY.rst
@@ -2,7 +2,7 @@
 History
 =======
 
-0.1.0 (2018-09-06)
+0.1.0 (2019-07-08)
 ------------------
 
 * First release on GitHub.
diff --git a/Makefile b/Makefile
index 4c042a3a..7f76d452 100644
--- a/Makefile
+++ b/Makefile
@@ -86,9 +86,3 @@ dist: clean ## builds source and wheel package
 
 install: clean ## install the package to the active Python's site-packages
 	python setup.py install
-
-docker-dev: ## build the development environment
-	docker build -t dmriprep:dev -f docker/Dockerfile docker/.
-
-docker: docker-dev
-	docker build -t dmriprep:prod -f Dockerfile-dmriprep .
diff --git a/dmriprep-docker b/dmriprep-docker
deleted file mode 100755
index 3ae00d0f..00000000
--- a/dmriprep-docker
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/bin/bash
-
-if [ -z "$1" ]; then
-    echo "usage: dmriprep-docker /input_dir /output_dir"
-    exit
-fi
-
-if [ -z "$2" ]; then
-    echo "usage: dmriprep-docker /input_dir /output_dir"
-    exit
-fi
-
-if [ -z "$3" ]; then
-    docker run --rm -ti -v "$1":/inputs -v "$2":/outputs dmriprep:prod dmriprep /inputs /outputs
-else
-    inputDir=$1
-    outputDir=$2
-
-    shift 2
-
-    docker run --rm -ti -v "$inputDir":/inputs -v "$outputDir":/outputs dmriprep:prod dmriprep /inputs /outputs --participant-label "$@"
-fi
diff --git a/dmriprepViewer/.babelrc b/dmriprepViewer/.babelrc
deleted file mode 100644
index 9390d164..00000000
--- a/dmriprepViewer/.babelrc
+++ /dev/null
@@ -1,18 +0,0 @@
-{
-  "presets": [
-    ["env", {
-      "modules": false,
-      "targets": {
-        "browsers": ["> 1%", "last 2 versions", "not ie <= 8"]
-      }
-    }],
-    "stage-2"
-  ],
-  "plugins": ["transform-vue-jsx", "transform-runtime"],
-  "env": {
-    "test": {
-      "presets": ["env", "stage-2"],
-      "plugins": ["transform-vue-jsx", "transform-es2015-modules-commonjs", "dynamic-import-node"]
-    }
-  }
-}
diff --git a/dmriprepViewer/.editorconfig b/dmriprepViewer/.editorconfig
deleted file mode 100644
index 9d08a1a8..00000000
--- a/dmriprepViewer/.editorconfig
+++ /dev/null
@@ -1,9 +0,0 @@
-root = true
-
-[*]
-charset = utf-8
-indent_style = space
-indent_size = 2
-end_of_line = lf
-insert_final_newline = true
-trim_trailing_whitespace = true
diff --git a/dmriprepViewer/.eslintignore b/dmriprepViewer/.eslintignore
deleted file mode 100644
index e2192c5c..00000000
--- a/dmriprepViewer/.eslintignore
+++ /dev/null
@@ -1,5 +0,0 @@
-/build/
-/config/
-/dist/
-/*.js
-/test/unit/coverage/
diff --git a/dmriprepViewer/.eslintrc.js b/dmriprepViewer/.eslintrc.js
deleted file mode 100644
index 3b855403..00000000
--- a/dmriprepViewer/.eslintrc.js
+++ /dev/null
@@ -1,50 +0,0 @@
-// https://eslint.org/docs/user-guide/configuring
-
-module.exports = {
-  root: true,
-  parserOptions: {
-    parser: 'babel-eslint'
-  },
-  env: {
-    browser: true,
-  },
-  // https://github.com/vuejs/eslint-plugin-vue#priority-a-essential-error-prevention
-  // consider switching to `plugin:vue/strongly-recommended` or `plugin:vue/recommended` for stricter rules.
-  extends: ['plugin:vue/essential', 'airbnb-base'],
-  // required to lint *.vue files
-  plugins: [
-    'vue'
-  ],
-  // check if imports actually resolve
-  settings: {
-    'import/resolver': {
-      webpack: {
-        config: 'build/webpack.base.conf.js'
-      }
-    }
-  },
-  // add your custom rules here
-  rules: {
-    // don't require .vue extension when importing
-    'import/extensions': ['error', 'always', {
-      js: 'never',
-      vue: 'never'
-    }],
-    // disallow reassignment of function parameters
-    // disallow parameter object manipulation except for specific exclusions
-    'no-param-reassign': ['error', {
-      props: true,
-      ignorePropertyModificationsFor: [
-        'state', // for vuex state
-        'acc', // for reduce accumulators
-        'e' // for e.returnvalue
-      ]
-    }],
-    // allow optionalDependencies
-    'import/no-extraneous-dependencies': ['error', {
-      optionalDependencies: ['test/unit/index.js']
-    }],
-    // allow debugger during development
-    'no-debugger': process.env.NODE_ENV === 'production' ? 'error' : 'off'
-  }
-}
diff --git a/dmriprepViewer/.gitignore b/dmriprepViewer/.gitignore
deleted file mode 100644
index dfb4167f..00000000
--- a/dmriprepViewer/.gitignore
+++ /dev/null
@@ -1,17 +0,0 @@
-.DS_Store
-node_modules/
-/dist/
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-/test/unit/coverage/
-/test/e2e/reports/
-selenium-debug.log
-
-# Editor directories and files
-.idea
-.vscode
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
diff --git a/dmriprepViewer/.postcssrc.js b/dmriprepViewer/.postcssrc.js
deleted file mode 100644
index eee3e92d..00000000
--- a/dmriprepViewer/.postcssrc.js
+++ /dev/null
@@ -1,10 +0,0 @@
-// https://github.com/michael-ciniawsky/postcss-load-config
-
-module.exports = {
-  "plugins": {
-    "postcss-import": {},
-    "postcss-url": {},
-    // to edit target browsers: use "browserslist" field in package.json
-    "autoprefixer": {}
-  }
-}
diff --git a/dmriprepViewer/README.md b/dmriprepViewer/README.md
deleted file mode 100644
index c18e32fd..00000000
--- a/dmriprepViewer/README.md
+++ /dev/null
@@ -1,30 +0,0 @@
-# dmriprep-viewer
-
-> Viewer for dmriprep reports
-
-## Build Setup
-
-``` bash
-# install dependencies
-npm install
-
-# serve with hot reload at localhost:8080
-npm run dev
-
-# build for production with minification
-npm run build
-
-# build for production and view the bundle analyzer report
-npm run build --report
-
-# run unit tests
-npm run unit
-
-# run e2e tests
-npm run e2e
-
-# run all tests
-npm test
-```
-
-For a detailed explanation on how things work, check out the [guide](http://vuejs-templates.github.io/webpack/) and [docs for vue-loader](http://vuejs.github.io/vue-loader).
diff --git a/dmriprepViewer/build/build.js b/dmriprepViewer/build/build.js
deleted file mode 100644
index 8f2ad8ad..00000000
--- a/dmriprepViewer/build/build.js
+++ /dev/null
@@ -1,41 +0,0 @@
-'use strict'
-require('./check-versions')()
-
-process.env.NODE_ENV = 'production'
-
-const ora = require('ora')
-const rm = require('rimraf')
-const path = require('path')
-const chalk = require('chalk')
-const webpack = require('webpack')
-const config = require('../config')
-const webpackConfig = require('./webpack.prod.conf')
-
-const spinner = ora('building for production...')
-spinner.start()
-
-rm(path.join(config.build.assetsRoot, config.build.assetsSubDirectory), err => {
-  if (err) throw err
-  webpack(webpackConfig, (err, stats) => {
-    spinner.stop()
-    if (err) throw err
-    process.stdout.write(stats.toString({
-      colors: true,
-      modules: false,
-      children: false, // If you are using ts-loader, setting this to true will make TypeScript errors show up during build.
-      chunks: false,
-      chunkModules: false
-    }) + '\n\n')
-
-    if (stats.hasErrors()) {
-      console.log(chalk.red('  Build failed with errors.\n'))
-      process.exit(1)
-    }
-
-    console.log(chalk.cyan('  Build complete.\n'))
-    console.log(chalk.yellow(
-      '  Tip: built files are meant to be served over an HTTP server.\n' +
-      '  Opening index.html over file:// won\'t work.\n'
-    ))
-  })
-})
diff --git a/dmriprepViewer/build/check-versions.js b/dmriprepViewer/build/check-versions.js
deleted file mode 100644
index 3ef972a0..00000000
--- a/dmriprepViewer/build/check-versions.js
+++ /dev/null
@@ -1,54 +0,0 @@
-'use strict'
-const chalk = require('chalk')
-const semver = require('semver')
-const packageConfig = require('../package.json')
-const shell = require('shelljs')
-
-function exec (cmd) {
-  return require('child_process').execSync(cmd).toString().trim()
-}
-
-const versionRequirements = [
-  {
-    name: 'node',
-    currentVersion: semver.clean(process.version),
-    versionRequirement: packageConfig.engines.node
-  }
-]
-
-if (shell.which('npm')) {
-  versionRequirements.push({
-    name: 'npm',
-    currentVersion: exec('npm --version'),
-    versionRequirement: packageConfig.engines.npm
-  })
-}
-
-module.exports = function () {
-  const warnings = []
-
-  for (let i = 0; i < versionRequirements.length; i++) {
-    const mod = versionRequirements[i]
-
-    if (!semver.satisfies(mod.currentVersion, mod.versionRequirement)) {
-      warnings.push(mod.name + ': ' +
-        chalk.red(mod.currentVersion) + ' should be ' +
-        chalk.green(mod.versionRequirement)
-      )
-    }
-  }
-
-  if (warnings.length) {
-    console.log('')
-    console.log(chalk.yellow('To use this template, you must update following to modules:'))
-    console.log()
-
-    for (let i = 0; i < warnings.length; i++) {
-      const warning = warnings[i]
-      console.log('  ' + warning)
-    }
-
-    console.log()
-    process.exit(1)
-  }
-}
diff --git a/dmriprepViewer/build/logo.png b/dmriprepViewer/build/logo.png
deleted file mode 100644
index f3d2503fc2a44b5053b0837ebea6e87a2d339a43..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/dmriprepViewer/build/utils.js b/dmriprepViewer/build/utils.js
deleted file mode 100644
index e534fb0f..00000000
--- a/dmriprepViewer/build/utils.js
+++ /dev/null
@@ -1,101 +0,0 @@
-'use strict'
-const path = require('path')
-const config = require('../config')
-const ExtractTextPlugin = require('extract-text-webpack-plugin')
-const packageConfig = require('../package.json')
-
-exports.assetsPath = function (_path) {
-  const assetsSubDirectory = process.env.NODE_ENV === 'production'
-    ? config.build.assetsSubDirectory
-    : config.dev.assetsSubDirectory
-
-  return path.posix.join(assetsSubDirectory, _path)
-}
-
-exports.cssLoaders = function (options) {
-  options = options || {}
-
-  const cssLoader = {
-    loader: 'css-loader',
-    options: {
-      sourceMap: options.sourceMap
-    }
-  }
-
-  const postcssLoader = {
-    loader: 'postcss-loader',
-    options: {
-      sourceMap: options.sourceMap
-    }
-  }
-
-  // generate loader string to be used with extract text plugin
-  function generateLoaders (loader, loaderOptions) {
-    const loaders = options.usePostCSS ? [cssLoader, postcssLoader] : [cssLoader]
-
-    if (loader) {
-      loaders.push({
-        loader: loader + '-loader',
-        options: Object.assign({}, loaderOptions, {
-          sourceMap: options.sourceMap
-        })
-      })
-    }
-
-    // Extract CSS when that option is specified
-    // (which is the case during production build)
-    if (options.extract) {
-      return ExtractTextPlugin.extract({
-        use: loaders,
-        fallback: 'vue-style-loader'
-      })
-    } else {
-      return ['vue-style-loader'].concat(loaders)
-    }
-  }
-
-  // https://vue-loader.vuejs.org/en/configurations/extract-css.html
-  return {
-    css: generateLoaders(),
-    postcss: generateLoaders(),
-    less: generateLoaders('less'),
-    sass: generateLoaders('sass', { indentedSyntax: true }),
-    scss: generateLoaders('sass'),
-    stylus: generateLoaders('stylus'),
-    styl: generateLoaders('stylus')
-  }
-}
-
-// Generate loaders for standalone style files (outside of .vue)
-exports.styleLoaders = function (options) {
-  const output = []
-  const loaders = exports.cssLoaders(options)
-
-  for (const extension in loaders) {
-    const loader = loaders[extension]
-    output.push({
-      test: new RegExp('\\.' + extension + '$'),
-      use: loader
-    })
-  }
-
-  return output
-}
-
-exports.createNotifierCallback = () => {
-  const notifier = require('node-notifier')
-
-  return (severity, errors) => {
-    if (severity !== 'error') return
-
-    const error = errors[0]
-    const filename = error.file && error.file.split('!').pop()
-
-    notifier.notify({
-      title: packageConfig.name,
-      message: severity + ': ' + error.name,
-      subtitle: filename || '',
-      icon: path.join(__dirname, 'logo.png')
-    })
-  }
-}
diff --git a/dmriprepViewer/build/vue-loader.conf.js b/dmriprepViewer/build/vue-loader.conf.js
deleted file mode 100644
index 33ed58bc..00000000
--- a/dmriprepViewer/build/vue-loader.conf.js
+++ /dev/null
@@ -1,22 +0,0 @@
-'use strict'
-const utils = require('./utils')
-const config = require('../config')
-const isProduction = process.env.NODE_ENV === 'production'
-const sourceMapEnabled = isProduction
-  ? config.build.productionSourceMap
-  : config.dev.cssSourceMap
-
-module.exports = {
-  loaders: utils.cssLoaders({
-    sourceMap: sourceMapEnabled,
-    extract: isProduction
-  }),
-  cssSourceMap: sourceMapEnabled,
-  cacheBusting: config.dev.cacheBusting,
-  transformToRequire: {
-    video: ['src', 'poster'],
-    source: 'src',
-    img: 'src',
-    image: 'xlink:href'
-  }
-}
diff --git a/dmriprepViewer/build/webpack.base.conf.js b/dmriprepViewer/build/webpack.base.conf.js
deleted file mode 100644
index 1f4f47e4..00000000
--- a/dmriprepViewer/build/webpack.base.conf.js
+++ /dev/null
@@ -1,92 +0,0 @@
-'use strict'
-const path = require('path')
-const utils = require('./utils')
-const config = require('../config')
-const vueLoaderConfig = require('./vue-loader.conf')
-
-function resolve (dir) {
-  return path.join(__dirname, '..', dir)
-}
-
-const createLintingRule = () => ({
-  test: /\.(js|vue)$/,
-  loader: 'eslint-loader',
-  enforce: 'pre',
-  include: [resolve('src'), resolve('test')],
-  options: {
-    formatter: require('eslint-friendly-formatter'),
-    emitWarning: !config.dev.showEslintErrorsInOverlay
-  }
-})
-
-module.exports = {
-  context: path.resolve(__dirname, '../'),
-  entry: {
-    app: './src/main.js'
-  },
-  output: {
-    path: config.build.assetsRoot,
-    filename: '[name].js',
-    publicPath: process.env.NODE_ENV === 'production'
-      ? config.build.assetsPublicPath
-      : config.dev.assetsPublicPath
-  },
-  resolve: {
-    extensions: ['.js', '.vue', '.json'],
-    alias: {
-      'vue$': 'vue/dist/vue.esm.js',
-      '@': resolve('src'),
-    }
-  },
-  module: {
-    rules: [
-      ...(config.dev.useEslint ? [createLintingRule()] : []),
-      {
-        test: /\.vue$/,
-        loader: 'vue-loader',
-        options: vueLoaderConfig
-      },
-      {
-        test: /\.js$/,
-        loader: 'babel-loader',
-        include: [resolve('src'), resolve('test'), resolve('node_modules/webpack-dev-server/client')]
-      },
-      {
-        test: /\.(png|jpe?g|gif|svg)(\?.*)?$/,
-        loader: 'url-loader',
-        options: {
-          limit: 10000,
-          name: utils.assetsPath('img/[name].[hash:7].[ext]')
-        }
-      },
-      {
-        test: /\.(mp4|webm|ogg|mp3|wav|flac|aac)(\?.*)?$/,
-        loader: 'url-loader',
-        options: {
-          limit: 10000,
-          name: utils.assetsPath('media/[name].[hash:7].[ext]')
-        }
-      },
-      {
-        test: /\.(woff2?|eot|ttf|otf)(\?.*)?$/,
-        loader: 'url-loader',
-        options: {
-          limit: 10000,
-          name: utils.assetsPath('fonts/[name].[hash:7].[ext]')
-        }
-      }
-    ]
-  },
-  node: {
-    // prevent webpack from injecting useless setImmediate polyfill because Vue
-    // source contains it (although only uses it if it's native).
-    setImmediate: false,
-    // prevent webpack from injecting mocks to Node native modules
-    // that does not make sense for the client
-    dgram: 'empty',
-    fs: 'empty',
-    net: 'empty',
-    tls: 'empty',
-    child_process: 'empty'
-  }
-}
diff --git a/dmriprepViewer/build/webpack.dev.conf.js b/dmriprepViewer/build/webpack.dev.conf.js
deleted file mode 100755
index 070ae221..00000000
--- a/dmriprepViewer/build/webpack.dev.conf.js
+++ /dev/null
@@ -1,95 +0,0 @@
-'use strict'
-const utils = require('./utils')
-const webpack = require('webpack')
-const config = require('../config')
-const merge = require('webpack-merge')
-const path = require('path')
-const baseWebpackConfig = require('./webpack.base.conf')
-const CopyWebpackPlugin = require('copy-webpack-plugin')
-const HtmlWebpackPlugin = require('html-webpack-plugin')
-const FriendlyErrorsPlugin = require('friendly-errors-webpack-plugin')
-const portfinder = require('portfinder')
-
-const HOST = process.env.HOST
-const PORT = process.env.PORT && Number(process.env.PORT)
-
-const devWebpackConfig = merge(baseWebpackConfig, {
-  module: {
-    rules: utils.styleLoaders({ sourceMap: config.dev.cssSourceMap, usePostCSS: true })
-  },
-  // cheap-module-eval-source-map is faster for development
-  devtool: config.dev.devtool,
-
-  // these devServer options should be customized in /config/index.js
-  devServer: {
-    clientLogLevel: 'warning',
-    historyApiFallback: {
-      rewrites: [
-        { from: /.*/, to: path.posix.join(config.dev.assetsPublicPath, 'index.html') },
-      ],
-    },
-    hot: true,
-    contentBase: false, // since we use CopyWebpackPlugin.
-    compress: true,
-    host: HOST || config.dev.host,
-    port: PORT || config.dev.port,
-    open: config.dev.autoOpenBrowser,
-    overlay: config.dev.errorOverlay
-      ? { warnings: false, errors: true }
-      : false,
-    publicPath: config.dev.assetsPublicPath,
-    proxy: config.dev.proxyTable,
-    quiet: true, // necessary for FriendlyErrorsPlugin
-    watchOptions: {
-      poll: config.dev.poll,
-    }
-  },
-  plugins: [
-    new webpack.DefinePlugin({
-      'process.env': require('../config/dev.env')
-    }),
-    new webpack.HotModuleReplacementPlugin(),
-    new webpack.NamedModulesPlugin(), // HMR shows correct file names in console on update.
-    new webpack.NoEmitOnErrorsPlugin(),
-    // https://github.com/ampedandwired/html-webpack-plugin
-    new HtmlWebpackPlugin({
-      filename: 'index.html',
-      template: 'index.html',
-      inject: true
-    }),
-    // copy custom static assets
-    new CopyWebpackPlugin([
-      {
-        from: path.resolve(__dirname, '../static'),
-        to: config.dev.assetsSubDirectory,
-        ignore: ['.*']
-      }
-    ])
-  ]
-})
-
-module.exports = new Promise((resolve, reject) => {
-  portfinder.basePort = process.env.PORT || config.dev.port
-  portfinder.getPort((err, port) => {
-    if (err) {
-      reject(err)
-    } else {
-      // publish the new Port, necessary for e2e tests
-      process.env.PORT = port
-      // add port to devServer config
-      devWebpackConfig.devServer.port = port
-
-      // Add FriendlyErrorsPlugin
-      devWebpackConfig.plugins.push(new FriendlyErrorsPlugin({
-        compilationSuccessInfo: {
-          messages: [`Your application is running here: http://${devWebpackConfig.devServer.host}:${port}`],
-        },
-        onErrors: config.dev.notifyOnErrors
-        ? utils.createNotifierCallback()
-        : undefined
-      }))
-
-      resolve(devWebpackConfig)
-    }
-  })
-})
diff --git a/dmriprepViewer/build/webpack.prod.conf.js b/dmriprepViewer/build/webpack.prod.conf.js
deleted file mode 100644
index 2f172596..00000000
--- a/dmriprepViewer/build/webpack.prod.conf.js
+++ /dev/null
@@ -1,149 +0,0 @@
-'use strict'
-const path = require('path')
-const utils = require('./utils')
-const webpack = require('webpack')
-const config = require('../config')
-const merge = require('webpack-merge')
-const baseWebpackConfig = require('./webpack.base.conf')
-const CopyWebpackPlugin = require('copy-webpack-plugin')
-const HtmlWebpackPlugin = require('html-webpack-plugin')
-const ExtractTextPlugin = require('extract-text-webpack-plugin')
-const OptimizeCSSPlugin = require('optimize-css-assets-webpack-plugin')
-const UglifyJsPlugin = require('uglifyjs-webpack-plugin')
-
-const env = process.env.NODE_ENV === 'testing'
-  ? require('../config/test.env')
-  : require('../config/prod.env')
-
-const webpackConfig = merge(baseWebpackConfig, {
-  module: {
-    rules: utils.styleLoaders({
-      sourceMap: config.build.productionSourceMap,
-      extract: true,
-      usePostCSS: true
-    })
-  },
-  devtool: config.build.productionSourceMap ? config.build.devtool : false,
-  output: {
-    path: config.build.assetsRoot,
-    filename: utils.assetsPath('js/[name].[chunkhash].js'),
-    chunkFilename: utils.assetsPath('js/[id].[chunkhash].js')
-  },
-  plugins: [
-    // http://vuejs.github.io/vue-loader/en/workflow/production.html
-    new webpack.DefinePlugin({
-      'process.env': env
-    }),
-    new UglifyJsPlugin({
-      uglifyOptions: {
-        compress: {
-          warnings: false
-        }
-      },
-      sourceMap: config.build.productionSourceMap,
-      parallel: true
-    }),
-    // extract css into its own file
-    new ExtractTextPlugin({
-      filename: utils.assetsPath('css/[name].[contenthash].css'),
-      // Setting the following option to `false` will not extract CSS from codesplit chunks.
-      // Their CSS will instead be inserted dynamically with style-loader when the codesplit chunk has been loaded by webpack.
-      // It's currently set to `true` because we are seeing that sourcemaps are included in the codesplit bundle as well when it's `false`, 
-      // increasing file size: https://github.com/vuejs-templates/webpack/issues/1110
-      allChunks: true,
-    }),
-    // Compress extracted CSS. We are using this plugin so that possible
-    // duplicated CSS from different components can be deduped.
-    new OptimizeCSSPlugin({
-      cssProcessorOptions: config.build.productionSourceMap
-        ? { safe: true, map: { inline: false } }
-        : { safe: true }
-    }),
-    // generate dist index.html with correct asset hash for caching.
-    // you can customize output by editing /index.html
-    // see https://github.com/ampedandwired/html-webpack-plugin
-    new HtmlWebpackPlugin({
-      filename: process.env.NODE_ENV === 'testing'
-        ? 'index.html'
-        : config.build.index,
-      template: 'index.html',
-      inject: true,
-      minify: {
-        removeComments: true,
-        collapseWhitespace: true,
-        removeAttributeQuotes: true
-        // more options:
-        // https://github.com/kangax/html-minifier#options-quick-reference
-      },
-      // necessary to consistently work with multiple chunks via CommonsChunkPlugin
-      chunksSortMode: 'dependency'
-    }),
-    // keep module.id stable when vendor modules does not change
-    new webpack.HashedModuleIdsPlugin(),
-    // enable scope hoisting
-    new webpack.optimize.ModuleConcatenationPlugin(),
-    // split vendor js into its own file
-    new webpack.optimize.CommonsChunkPlugin({
-      name: 'vendor',
-      minChunks (module) {
-        // any required modules inside node_modules are extracted to vendor
-        return (
-          module.resource &&
-          /\.js$/.test(module.resource) &&
-          module.resource.indexOf(
-            path.join(__dirname, '../node_modules')
-          ) === 0
-        )
-      }
-    }),
-    // extract webpack runtime and module manifest to its own file in order to
-    // prevent vendor hash from being updated whenever app bundle is updated
-    new webpack.optimize.CommonsChunkPlugin({
-      name: 'manifest',
-      minChunks: Infinity
-    }),
-    // This instance extracts shared chunks from code splitted chunks and bundles them
-    // in a separate chunk, similar to the vendor chunk
-    // see: https://webpack.js.org/plugins/commons-chunk-plugin/#extra-async-commons-chunk
-    new webpack.optimize.CommonsChunkPlugin({
-      name: 'app',
-      async: 'vendor-async',
-      children: true,
-      minChunks: 3
-    }),
-
-    // copy custom static assets
-    new CopyWebpackPlugin([
-      {
-        from: path.resolve(__dirname, '../static'),
-        to: config.build.assetsSubDirectory,
-        ignore: ['.*']
-      }
-    ])
-  ]
-})
-
-if (config.build.productionGzip) {
-  const CompressionWebpackPlugin = require('compression-webpack-plugin')
-
-  webpackConfig.plugins.push(
-    new CompressionWebpackPlugin({
-      asset: '[path].gz[query]',
-      algorithm: 'gzip',
-      test: new RegExp(
-        '\\.(' +
-        config.build.productionGzipExtensions.join('|') +
-        ')$'
-      ),
-      threshold: 10240,
-      minRatio: 0.8
-    })
-  )
-}
-
-if (config.build.bundleAnalyzerReport) {
-  const BundleAnalyzerPlugin = require('webpack-bundle-analyzer').BundleAnalyzerPlugin
-  webpackConfig.plugins.push(new BundleAnalyzerPlugin())
-}
-
-module.exports = webpackConfig
diff --git a/dmriprepViewer/config/dev.env.js b/dmriprepViewer/config/dev.env.js
deleted file mode 100644
index 1e22973a..00000000
--- a/dmriprepViewer/config/dev.env.js
+++ /dev/null
@@ -1,7 +0,0 @@
-'use strict'
-const merge = require('webpack-merge')
-const prodEnv = require('./prod.env')
-
-module.exports = merge(prodEnv, {
-  NODE_ENV: '"development"'
-})
diff --git a/dmriprepViewer/config/index.js b/dmriprepViewer/config/index.js
deleted file mode 100644
index c65b7762..00000000
--- a/dmriprepViewer/config/index.js
+++ /dev/null
@@ -1,76 +0,0 @@
-'use strict'
-// Template version: 1.3.1
-// see http://vuejs-templates.github.io/webpack for documentation.
-
-const path = require('path')
-
-module.exports = {
-  dev: {
-
-    // Paths
-    assetsSubDirectory: 'static',
-    assetsPublicPath: '/',
-    proxyTable: {},
-
-    // Various Dev Server settings
-    host: 'localhost', // can be overwritten by process.env.HOST
-    port: 8080, // can be overwritten by process.env.PORT, if port is in use, a free one will be determined
-    autoOpenBrowser: false,
-    errorOverlay: true,
-    notifyOnErrors: true,
-    poll: false, // https://webpack.js.org/configuration/dev-server/#devserver-watchoptions-
-
-    // Use Eslint Loader?
-    // If true, your code will be linted during bundling and
-    // linting errors and warnings will be shown in the console.
-    useEslint: true,
-    // If true, eslint errors and warnings will also be shown in the error overlay
-    // in the browser.
-    showEslintErrorsInOverlay: false,
-
-    /**
-     * Source Maps
-     */
-
-    // https://webpack.js.org/configuration/devtool/#development
-    devtool: 'cheap-module-eval-source-map',
-
-    // If you have problems debugging vue-files in devtools,
-    // set this to false - it *may* help
-    // https://vue-loader.vuejs.org/en/options.html#cachebusting
-    cacheBusting: true,
-
-    cssSourceMap: true
-  },
-
-  build: {
-    // Template for index.html
-    index: path.resolve(__dirname, '../dist/index.html'),
-
-    // Paths
-    assetsRoot: path.resolve(__dirname, '../dist'),
-    assetsSubDirectory: 'static',
-    assetsPublicPath: '/dmriprep/',
-
-    /**
-     * Source Maps
-     */
-
-    productionSourceMap: true,
-    // https://webpack.js.org/configuration/devtool/#production
-    devtool: '#source-map',
-
-    // Gzip off by default as many popular static hosts such as
-    // Surge or Netlify already gzip all static assets for you.
-    // Before setting to `true`, make sure to:
-    // npm install --save-dev compression-webpack-plugin
-    productionGzip: false,
-    productionGzipExtensions: ['js', 'css'],
-
-    // Run the build command with an extra argument to
-    // View the bundle analyzer report after build finishes:
-    // `npm run build --report`
-    // Set to `true` or `false` to always turn it on or off
-    bundleAnalyzerReport: process.env.npm_config_report
-  }
-}
diff --git a/dmriprepViewer/config/prod.env.js b/dmriprepViewer/config/prod.env.js
deleted file mode 100644
index a6f99761..00000000
--- a/dmriprepViewer/config/prod.env.js
+++ /dev/null
@@ -1,4 +0,0 @@
-'use strict'
-module.exports = {
-  NODE_ENV: '"production"'
-}
diff --git a/dmriprepViewer/config/test.env.js b/dmriprepViewer/config/test.env.js
deleted file mode 100644
index c2824a30..00000000
--- a/dmriprepViewer/config/test.env.js
+++ /dev/null
@@ -1,7 +0,0 @@
-'use strict'
-const merge = require('webpack-merge')
-const devEnv = require('./dev.env')
-
-module.exports = merge(devEnv, {
-  NODE_ENV: '"testing"'
-})
diff --git a/dmriprepViewer/deploy.sh b/dmriprepViewer/deploy.sh
deleted file mode 100644
index ae136ca1..00000000
--- a/dmriprepViewer/deploy.sh
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/bin/bash
-
-set -e # exit with nonzero exit code if anything fails
-
-if [[ $TRAVIS_BRANCH == "master" && $TRAVIS_PULL_REQUEST == "false" ]]; then
-
-echo "Starting to update gh-pages\n"
-
-#copy data we're interested in to other place
-cp -R dist $HOME/dist
-
-#go to home and setup git
-cd $HOME
-git config --global user.email "travis@travis-ci.org"
-git config --global user.name "Travis"
-
-#using token clone gh-pages branch
-git clone --quiet --branch=gh-pages https://${GH_TOKEN}@github.com/${GH_USER}/${GH_REPO}.git gh-pages > /dev/null
-
-#go into directory and copy data we're interested in to that directory
-cd gh-pages
-cp -Rf $HOME/dist/* .
-
-echo "Allow files with underscore https://help.github.com/articles/files-that-start-with-an-underscore-are-missing/" > .nojekyll
-echo "[View live](https://${GH_USER}.github.io/${GH_REPO}/)" > README.md
-
-#add, commit and push files
-git add -f .
-git commit -m "Travis build $TRAVIS_BUILD_NUMBER"
-git push -fq origin gh-pages > /dev/null
-
-echo "Done updating gh-pages\n"
-
-else
- echo "Skipped updating gh-pages, because build is not triggered from the master branch."
-fi;
diff --git a/dmriprepViewer/index.html b/dmriprepViewer/index.html
deleted file mode 100644
index c2581b52..00000000
--- a/dmriprepViewer/index.html
+++ /dev/null
@@ -1,12 +0,0 @@
-<!DOCTYPE html>
-<html>
-  <head>
-    <meta charset="utf-8">
-    <meta name="viewport" content="width=device-width,initial-scale=1.0">
-    <title>dmriprep-viewer</title>
-  </head>
-  <body>
-    <div id="app"></div>
-    <!-- built files will be auto injected -->
-  </body>
-</html>
diff --git a/dmriprepViewer/package-lock.json b/dmriprepViewer/package-lock.json
deleted file mode 100644
index f76ffb85..00000000
--- a/dmriprepViewer/package-lock.json
+++ /dev/null
@@ -1,15340 +0,0 @@
-{
-  "name": "dmriprep-viewer",
-  "version": "1.0.0",
-  "lockfileVersion": 1,
-  "requires": true,
-  "dependencies": {
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-      "dev": true,
-      "requires": {
-        "@babel/highlight": "7.0.0-beta.44"
-      }
-    },
-    "@babel/generator": {
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-      "resolved": "http://registry.npmjs.org/@babel/generator/-/generator-7.0.0-beta.44.tgz",
-      "integrity": "sha512-5xVb7hlhjGcdkKpMXgicAVgx8syK5VJz193k0i/0sLP6DzE6lRrU1K3B/rFefgdo9LPGMAOOOAWW4jycj07ShQ==",
-      "dev": true,
-      "requires": {
-        "@babel/types": "7.0.0-beta.44",
-        "jsesc": "^2.5.1",
-        "lodash": "^4.2.0",
-        "source-map": "^0.5.0",
-        "trim-right": "^1.0.1"
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-          "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.1.tgz",
-          "integrity": "sha1-5CGiqOINawgZ3yiQj3glJrlt0f4=",
-          "dev": true
-        },
-        "source-map": {
-          "version": "0.5.7",
-          "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
-          "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w=",
-          "dev": true
-        }
-      }
-    },
-    "@babel/helper-function-name": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.0.0-beta.44.tgz",
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-      "dev": true,
-      "requires": {
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-        "@babel/template": "7.0.0-beta.44",
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-      "dev": true,
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diff --git a/dmriprepViewer/package.json b/dmriprepViewer/package.json
deleted file mode 100644
index c8f44ef0..00000000
--- a/dmriprepViewer/package.json
+++ /dev/null
@@ -1,91 +0,0 @@
-{
-  "name": "dmriprep-viewer",
-  "version": "1.0.0",
-  "description": "Viewer for dmriprep reports",
-  "author": "akeshavan <keshavan@berkeley.edu>",
-  "private": true,
-  "scripts": {
-    "dev": "webpack-dev-server --inline --progress --config build/webpack.dev.conf.js",
-    "start": "npm run dev",
-    "unit": "jest --config test/unit/jest.conf.js --coverage",
-    "e2e": "node test/e2e/runner.js",
-    "test": "npm run unit && npm run e2e",
-    "lint": "eslint --ext .js,.vue src test/unit test/e2e/specs",
-    "build": "node build/build.js"
-  },
-  "dependencies": {
-    "axios": "^0.18.0",
-    "bootstrap-vue": "^2.0.0-rc.11",
-    "brainsprite.js": "git+https://git@github.com/SIMEXP/brainsprite.js.git",
-    "d3": "^5.7.0",
-    "lodash": "^4.17.11",
-    "vue": "^2.5.2",
-    "vue-router": "^3.0.1",
-    "vue-slider-component": "^2.7.7"
-  },
-  "devDependencies": {
-    "autoprefixer": "^7.1.2",
-    "babel-core": "^6.22.1",
-    "babel-eslint": "^8.2.1",
-    "babel-helper-vue-jsx-merge-props": "^2.0.3",
-    "babel-jest": "^21.0.2",
-    "babel-loader": "^7.1.1",
-    "babel-plugin-dynamic-import-node": "^1.2.0",
-    "babel-plugin-syntax-jsx": "^6.18.0",
-    "babel-plugin-transform-es2015-modules-commonjs": "^6.26.0",
-    "babel-plugin-transform-runtime": "^6.22.0",
-    "babel-plugin-transform-vue-jsx": "^3.5.0",
-    "babel-preset-env": "^1.3.2",
-    "babel-preset-stage-2": "^6.22.0",
-    "babel-register": "^6.22.0",
-    "chalk": "^2.0.1",
-    "chromedriver": "^2.27.2",
-    "copy-webpack-plugin": "^4.0.1",
-    "cross-spawn": "^5.0.1",
-    "css-loader": "^0.28.0",
-    "eslint": "^4.15.0",
-    "eslint-config-airbnb-base": "^11.3.0",
-    "eslint-friendly-formatter": "^3.0.0",
-    "eslint-import-resolver-webpack": "^0.8.3",
-    "eslint-loader": "^1.7.1",
-    "eslint-plugin-import": "^2.7.0",
-    "eslint-plugin-vue": "^4.0.0",
-    "extract-text-webpack-plugin": "^3.0.0",
-    "file-loader": "^1.1.4",
-    "friendly-errors-webpack-plugin": "^1.6.1",
-    "html-webpack-plugin": "^2.30.1",
-    "jest": "^22.0.4",
-    "jest-serializer-vue": "^0.3.0",
-    "nightwatch": "^0.9.12",
-    "node-notifier": "^5.1.2",
-    "optimize-css-assets-webpack-plugin": "^3.2.0",
-    "ora": "^1.2.0",
-    "portfinder": "^1.0.13",
-    "postcss-import": "^11.0.0",
-    "postcss-loader": "^2.0.8",
-    "postcss-url": "^7.2.1",
-    "rimraf": "^2.6.0",
-    "selenium-server": "^3.0.1",
-    "semver": "^5.3.0",
-    "shelljs": "^0.7.6",
-    "uglifyjs-webpack-plugin": "^1.1.1",
-    "url-loader": "^0.5.8",
-    "vue-jest": "^1.0.2",
-    "vue-loader": "^13.3.0",
-    "vue-style-loader": "^3.0.1",
-    "vue-template-compiler": "^2.5.2",
-    "webpack": "^3.6.0",
-    "webpack-bundle-analyzer": "^2.9.0",
-    "webpack-dev-server": "^2.9.1",
-    "webpack-merge": "^4.1.0"
-  },
-  "engines": {
-    "node": ">= 6.0.0",
-    "npm": ">= 3.0.0"
-  },
-  "browserslist": [
-    "> 1%",
-    "last 2 versions",
-    "not ie <= 8"
-  ]
-}
diff --git a/dmriprepViewer/src/App.vue b/dmriprepViewer/src/App.vue
deleted file mode 100644
index 1d0185f2..00000000
--- a/dmriprepViewer/src/App.vue
+++ /dev/null
@@ -1,30 +0,0 @@
-<template>
-  <div id="app">
-    <router-view/>
-  </div>
-</template>
-
-<script>
-import Vue from 'vue';
-import BootstrapVue from 'bootstrap-vue';
-// eslint-disable-next-line
-import 'bootstrap/dist/css/bootstrap.css';
-import 'bootstrap-vue/dist/bootstrap-vue.css';
-
-Vue.use(BootstrapVue);
-
-export default {
-  name: 'App',
-};
-</script>
-
-<style>
-#app {
-  font-family: 'Avenir', Helvetica, Arial, sans-serif;
-  -webkit-font-smoothing: antialiased;
-  -moz-osx-font-smoothing: grayscale;
-  text-align: center;
-  color: #2c3e50;
-  margin-top: 60px;
-}
-</style>
diff --git a/dmriprepViewer/src/assets/logo.svg b/dmriprepViewer/src/assets/logo.svg
deleted file mode 100644
index 16528882..00000000
--- a/dmriprepViewer/src/assets/logo.svg
+++ /dev/null
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\ No newline at end of file
diff --git a/dmriprepViewer/src/components/BrainSprite.vue b/dmriprepViewer/src/components/BrainSprite.vue
deleted file mode 100644
index 15384a24..00000000
--- a/dmriprepViewer/src/components/BrainSprite.vue
+++ /dev/null
@@ -1,75 +0,0 @@
-<template>
-  <div class="brainsprite">
-        <div v-if="!done">Hold on...</div>
-        <canvas :id="id"></canvas>
-        <img :id="id+'_spriteImg'"
-         class="hidden"
-         :src="'data:image/png;base64,' + base"
-         v-if="showOrig"
-        />
-        <img :id="id+'_overlayImg'"
-         class="hidden"
-         v-if="overlay && showOrig"
-         :src="'data:image/png;base64,' + overlay"
-        />
-  </div>
-</template>
-
-<style scoped>
-  .hidden {
-    visibility: hidden;
-    /* display: none; */
-  }
-  canvas {
-    width: 100%;
-  }
-  img {
-    /* width: 10px;
-    height: 10px; */
-  }
-</style>
-
-<script>
-import brainsprite from './brainsprite';
-
-export default {
-  name: 'brainsprite',
-  props: ['base', 'overlay', 'id',
-    'base_dim_x', 'base_dim_y',
-    'overlay_dim_x', 'overlay_dim_y'],
-  data() {
-    return {
-      brain: null,
-      showOrig: true,
-      done: false,
-      ready: false,
-    };
-  },
-  methods: {
-    initBrainSprite() {
-      /* eslint-disable-next-line */
-      const brain = new brainsprite({
-        canvas: this.id,
-        sprite: `${this.id}_spriteImg`,
-        nbSlice: { Y: this.base_dim_x, Z: this.base_dim_y },
-        overlay: {
-          sprite: `${this.id}_overlayImg`,
-          nbSlice: { Y: this.overlay_dim_x, Z: this.overlay_dim_y },
-          opacity: 0.5,
-        },
-      });
-      this.brain = brain;
-      this.showOrig = false;
-      this.done = true;
-    },
-  },
-  mounted() {
-    this.$nextTick(() => {
-      setTimeout(() => {
-        this.ready = true;
-        this.initBrainSprite();
-      }, 100);
-    });
-  },
-};
-</script>
diff --git a/dmriprepViewer/src/components/Bucket.vue b/dmriprepViewer/src/components/Bucket.vue
deleted file mode 100644
index 4d3e65b5..00000000
--- a/dmriprepViewer/src/components/Bucket.vue
+++ /dev/null
@@ -1,195 +0,0 @@
-<template>
-  <div class="bucket">
-    <div class="row">
-      <div class="col-md-3">
-        <div class="container">
-        <h3>{{bucket}} ({{manifestEntries.length}})</h3>
-          <div class="mb-3">
-            <b-button v-if="!statsReady" @click="getAllReports">
-              Compute Statistics
-            </b-button>
-          </div>
-          <b-nav vertical pills class="w-100">
-            <!-- <b-nav-item active>Active</b-nav-item> -->
-            <b-nav-item v-for="(subject, index) in manifestEntries"
-             :key="subject" :active="index === currentReportIdx"
-             @click="currentReportIdx = index">
-              {{subject.split('/')[0]}}
-            </b-nav-item>
-          </b-nav>
-        </div>
-      </div>
-      <div class="col-md-9">
-        <h1 v-if="manifestEntries.length">
-          {{manifestEntries[currentReportIdx].split('/')[0]}}
-        </h1>
-        <div v-if="statsReady">
-          <GroupStats :data="allReports" :individual="currentReport.eddy_quad"/>
-        </div>
-        <div v-if="ready">
-          <report
-            :reportProp="currentReport"
-          />
-        </div>
-        <div v-else>
-          loading...
-        </div>
-      </div>
-    </div>
-  </div>
-</template>
-
-<script>
-import axios from 'axios';
-import _ from 'lodash';
-import Report from './Report';
-import GroupStats from './GroupStats';
-
-export default {
-  name: 'bucket',
-  data() {
-    return {
-      manifestEntries: [],
-      currentReportIdx: 0,
-      currentReport: {},
-      ready: false,
-      allReports: [],
-      statsReady: false,
-    };
-  },
-  components: {
-    Report,
-    GroupStats,
-  },
-  methods: {
-    getReport(r) {
-      return axios.get(`https://s3-us-west-2.amazonaws.com/${this.bucket}/${r}`);
-    },
-    /**
-    *
-    */
-    async getAllReports() {
-      this.statsReady = false;
-      const reports = await _.map(this.manifestEntries, m => this.getReport(m));
-      _.map(reports, (r) => {
-        r.then((resp) => {
-          if (resp.data.eddy_quad) {
-            this.allReports.push(resp.data.eddy_quad);
-          }
-        });
-      });
-      this.statsReady = true;
-    },
-    /**
-    * XML parser for pubmed query returns.
-    */
-    xmlParser(input) {
-      const parser = new DOMParser();
-      const xmlDoc = parser.parseFromString(input, 'text/xml');
-      return xmlDoc;
-    },
-    /**
-    *
-    */
-    parseS3(data) {
-      const xml = this.xmlParser(data);
-      const keys = xml.getElementsByTagName('Key');
-      const continuation = xml.getElementsByTagName('NextContinuationToken');
-      const isTruncated = xml.getElementsByTagName('IsTruncated')[0].innerHTML;
-      if (isTruncated === 'true') {
-        this.continuation = encodeURIComponent(continuation[0].innerHTML);
-      } else {
-        this.continuation = null;
-      }
-      const allKeys = _.map(keys, k => k.innerHTML);
-      const reportsFiltered = _.filter(allKeys, k => k.endsWith('_report.json'));// _.map(allKeys, k => k.split('/')[0]);
-      const keysFixed = _.uniq(reportsFiltered);
-      return keysFixed;
-    },
-    /**
-    * if there is a continuation token..
-    */
-    S3Continuation(token) {
-      let url = `https://s3-us-west-2.amazonaws.com/${this.bucket}/?list-type=2&`;
-      // url += `prefix=${this.config.manifestS3.prefix}/&max-keys=100000`;
-      url += '&max-keys=100000';
-      // url += `&delimiter=${this.config.manifestS3.delimiter}`;
-      url += `&continuation-token=${token}`;
-      if (!token) {
-        return 0;
-      }
-      return axios.get(url).then((resp) => {
-        const keysFixed2 = this.parseS3(resp.data);
-        this.manifestEntries = _.uniq(this.manifestEntries.concat(keysFixed2));
-        if (this.continuation) {
-          this.S3Continuation(this.continuation);
-        }
-      });
-    },
-    /**
-    * get a list of files that are in a bucket of an S3
-    * with a prefix and a delimiter (usually, a .)
-    * TODO: make the keys firebase safe!!
-    */
-    getS3Manifest() {
-      let url = `https://s3-us-west-2.amazonaws.com/${this.bucket}/?list-type=2&`;
-      url += '&max-keys=100000';
-      // url += `prefix=${this.config.manifestS3.prefix}
-      // /&max-keys=${this.config.manifestS3.max_keys}`;
-      // url += `&delimiter=${this.config.manifestS3.delimiter}`;
-      // console.log(url);
-      return axios.get(url).then((resp) => {
-        const keysFixed = this.parseS3(resp.data);
-        this.manifestEntries = _.uniq(this.manifestEntries.concat(keysFixed));
-        if (this.continuation) {
-          this.S3Continuation(this.continuation);
-        }
-      });
-    },
-    updateReport() {
-      this.ready = false;
-      const reportUrl = `https://s3-us-west-2.amazonaws.com/${this.bucket}/${this.manifestEntries[this.currentReportIdx]}`;
-      return axios.get(reportUrl)
-        .then((resp) => {
-          this.currentReport = resp.data;
-          this.ready = true;
-          this.$router.replace({ name: 'Bucket',
-            params: { bucket: this.bucket },
-            query: { report: reportUrl } });
-        });
-    },
-  },
-  computed: {
-    bucket() {
-      return this.$route.params.bucket;
-    },
-  },
-  watch: {
-    bucket() {
-      this.getS3Manifest();
-    },
-    currentReportIdx() {
-      this.updateReport();
-    },
-  },
-  mounted() {
-    let path = null;
-    if (this.$route.query) {
-      if (this.$route.query.report) {
-        path = this.$route.query.report.split(`https://s3-us-west-2.amazonaws.com/${this.bucket}/`)[1];
-      }
-    }
-
-    this.getS3Manifest().then(this.updateReport).then(() => {
-      if (path) {
-        this.currentReportIdx = this.manifestEntries.indexOf(path);
-      }
-      this.getAllReports();
-    });
-  },
-};
-</script>
-
-<style>
-
-</style>
diff --git a/dmriprepViewer/src/components/GroupStats.vue b/dmriprepViewer/src/components/GroupStats.vue
deleted file mode 100644
index d17716d9..00000000
--- a/dmriprepViewer/src/components/GroupStats.vue
+++ /dev/null
@@ -1,96 +0,0 @@
-<template>
-  <div>
-    <div class="mb-3">
-      <p class="lead">
-        Comparison to Group Eddy_Quad Statistics
-      </p>
-      <p>Absolute Motion (Z = {{numberFormatter(individual_abs_mot_z)}})</p>
-      <b-progress class="w-50 mx-auto">
-        <b-progress-bar :value="scaleZ(individual_abs_mot_z)"
-         :variant="getColor(0, individual_abs_mot_z)">
-          z = {{numberFormatter(individual_abs_mot_z)}}
-        </b-progress-bar>
-      </b-progress>
-    </div>
-    <div class="mb-3">
-      <p>Relative Motion (Z = {{numberFormatter(individual_rel_mot_z)}})</p>
-      <b-progress class="w-50 mx-auto">
-        <b-progress-bar :value="scaleZ(individual_rel_mot_z)"
-         :variant="getColor(0, individual_rel_mot_z)">
-          z = {{numberFormatter(individual_rel_mot_z)}}
-        </b-progress-bar>
-      </b-progress>
-    </div>
-
-  </div>
-</template>
-
-<script>
-// import _ from 'lodash';
-const d3 = require('d3');
-
-export default {
-  name: 'GroupStats',
-  props: ['data', 'individual'],
-  data() {
-    return {
-
-    };
-  },
-  methods: {
-    scaleZ(val) {
-      const scaler = d3.scaleLinear().range([0, 100]).domain([-3, 3]);
-      return scaler(val);
-    },
-    numberFormatter(val) {
-      const formatter = d3.format('.3n');
-      return formatter(val);
-    },
-    getColor(direction, zScore) {
-      if (direction) {
-        // positive is good
-        if (zScore <= -1) {
-          return 'danger';
-        } else if (zScore >= 1) {
-          return 'success';
-        }
-      }
-      if (zScore <= -1) {
-        return 'success';
-      } else if (zScore >= 1) {
-        return 'danger';
-      }
-      return 'primary';
-    },
-  },
-  computed: {
-    mean_group_abs_mot() {
-      return d3.mean(this.data, d => d.qc_mot_abs);
-    },
-    std_group_abs_mot() {
-      return d3.deviation(this.data, d => d.qc_mot_abs);
-    },
-    individual_abs_mot_z() {
-      if (this.individual) {
-        return (this.individual.qc_mot_abs - this.mean_group_abs_mot) / this.std_group_abs_mot;
-      }
-      return null;
-    },
-    mean_group_rel_mot() {
-      return d3.mean(this.data, d => d.qc_mot_rel);
-    },
-    std_group_rel_mot() {
-      return d3.deviation(this.data, d => d.qc_mot_rel);
-    },
-    individual_rel_mot_z() {
-      if (this.individual) {
-        return (this.individual.qc_mot_rel - this.mean_group_rel_mot) / this.std_group_rel_mot;
-      }
-      return null;
-    },
-  },
-};
-</script>
-
-<style>
-</style>
diff --git a/dmriprepViewer/src/components/HelloWorld.vue b/dmriprepViewer/src/components/HelloWorld.vue
deleted file mode 100644
index e225ba2d..00000000
--- a/dmriprepViewer/src/components/HelloWorld.vue
+++ /dev/null
@@ -1,114 +0,0 @@
-<template>
-  <b-container>
-      <img class="logo" src="../assets/logo.svg" />
-      <h1>dmriprep Viewer</h1>
-      <p class="lead">Upload your report.json file from dmriprep</p>
-      <b-form-file class="mt-3" v-model="file"
-       :state="Boolean(file)" placeholder="Choose a file...">
-     </b-form-file>
-
-     <p class="lead mt-3">OR copy/paste a URL</p>
-     <b-input-group size="md" class="mb-3" prepend="URL">
-        <b-form-input v-model="url" />
-        <b-input-group-append>
-          <b-btn size="md" text="Button"
-           variant="primary"
-           @click="navigate">Go</b-btn>
-        </b-input-group-append>
-      </b-input-group>
-
-      <p class="lead mt-3">OR point to an S3 bucket</p>
-      <b-input-group size="md" class="mb-3" prepend="Bucket">
-         <b-form-input v-model="bucket" />
-         <b-input-group-append>
-           <b-btn size="md" text="Button"
-            variant="primary"
-            @click="s3">Go</b-btn>
-         </b-input-group-append>
-       </b-input-group>
-
-      <report v-if="report.b0" :reportProp="report"></report>
-  </b-container>
-</template>
-
-<script>
-import vueSlider from 'vue-slider-component';
-import sprite4d from './Sprite4D';
-import lineChart from './LineChart';
-import report from './Report';
-
-
-export default {
-  name: 'HelloWorld',
-  components: {
-    sprite4d,
-    vueSlider,
-    lineChart,
-    report,
-  },
-  data() {
-    return {
-      file: null,
-      msg: 'Welcome to Your Vue.js App',
-      report: {},
-      time: 0,
-      spriteSlice: 0,
-      url: null,
-      bucket: null,
-    };
-  },
-  methods: {
-    get_mid_slice() {
-      return Math.floor(this.report.b0.num_slices / 2);
-    },
-    navigate() {
-      this.$router.push({ path: '/report', query: { url: this.url } });
-    },
-    s3() {
-      this.$router.push({ path: `/bucket/${this.bucket}` });
-    },
-  },
-  watch: {
-    file() {
-      if (this.file) {
-        const reader = new FileReader();
-        const self = this;
-        reader.onload = function Load(e) {
-          const contents = e.target.result;
-          self.report = JSON.parse(contents);
-          // console.log(self.report);
-        };
-        reader.readAsText(this.file);
-      }
-    },
-    report() {
-      if (this.report.b0) {
-        this.spriteSlice = this.get_mid_slice();
-      }
-    },
-  },
-};
-</script>
-
-<!-- Add "scoped" attribute to limit CSS to this component only -->
-<style scoped>
-
-.logo {
-  max-width: 300px;
-}
-
-h1, h2 {
-  font-weight: normal;
-}
-ul {
-  list-style-type: none;
-  padding: 0;
-}
-li {
-  display: inline-block;
-  margin: 0 10px;
-}
-a {
-  color: #42b983;
-}
-</style>
diff --git a/dmriprepViewer/src/components/LineChart.vue b/dmriprepViewer/src/components/LineChart.vue
deleted file mode 100644
index e335b6bd..00000000
--- a/dmriprepViewer/src/components/LineChart.vue
+++ /dev/null
@@ -1,191 +0,0 @@
-<template>
-  <svg ref="chart" :id="id" class="lineChart"></svg>
-</template>
-
-<script>
-const d3 = require('d3');
-
-window.d3 = d3;
-
-export default {
-  name: 'lineChart',
-  data() {
-    return {
-      svg: null,
-      g: null,
-      x: null,
-      y: null,
-      xDomain: [0, 1],
-      yDomain: [0, 1],
-      margin: { top: 20, right: 20, bottom: 30, left: 50 },
-      lines: [],
-    };
-  },
-  computed: {
-    width() {
-      return this.$refs.chart.clientWidth - this.margin.left - this.margin.right;
-    },
-    height() {
-      return this.$refs.chart.clientHeight - this.margin.top - this.margin.bottom;
-    },
-  },
-  watch: {
-    highlightIdx() {
-      // console.log('watching', this.highlightIdx)
-      this.updateHighlightPoints();
-    },
-  },
-  methods: {
-    initAx() {
-      // console.log(this.$refs.chart.clientWidth);
-      const svg = d3.select(`#${this.id}`);
-
-      // const width = this.$refs.chart.clientWidth - margin.left - margin.right
-      // const height = this.$refs.chart.clientHeight - margin.top - margin.bottom
-      const g = svg.append('g').attr('transform', `translate(${this.margin.left}, ${this.margin.top})`);
-      const y = d3.scaleLinear()
-        .range([this.height, 0]);
-      const x = d3.scaleLinear()
-        .range([0, this.width]);
-
-      this.svg = svg;
-      this.g = g;
-      this.x = x;
-      this.y = y;
-
-      this.initXaxis();
-      this.initYaxis();
-      this.initHighlightPoints();
-    },
-    initXaxis() {
-      this.g.append('g')
-        .attr('class', 'x axis')
-        .attr('transform', `translate(0, ${this.height})`)
-        .call(d3.axisBottom(this.x));
-      // this.updateXaxis();
-    },
-    updateXaxis() {
-      this.x.range([0, this.width]).domain(this.xDomain);
-      d3.select(`#${this.id} .x.axis`).call(d3.axisBottom(this.x));
-    },
-    initYaxis() {
-      this.g.append('g')
-        .attr('class', 'y axis')
-        .call(d3.axisLeft(this.y))
-        .append('text')
-        .attr('fill', '#000')
-        .attr('transform', 'rotate(-90)')
-        .attr('y', 6)
-        .attr('dy', '0.71em')
-        .attr('text-anchor', 'end')
-        .text(this.ylabel);
-      // this.updateYaxis();
-    },
-    updateYaxis() {
-      this.y.range([this.height, 0]).domain(this.yDomain);
-      d3.select(`#${this.id} .y.axis`).call(d3.axisLeft(this.y));
-    },
-    initHighlightPoints() {
-      this.g.append('circle').attr('class', 'dot-series-1');
-      this.g.append('circle').attr('class', 'dot-series-2');
-    },
-    updateHighlightPoints() {
-      const self = this;
-      d3.select(`#${this.id} .dot-series-1`)
-        .attr('r', 7)
-        .attr('cx', () => self.x(self.highlightIdx))
-        .attr('cy', () => self.y(self.data[self.highlightIdx][0]))
-        .attr('fill', 'steelblue');
-
-      d3.select(`#${this.id} .dot-series-2`)
-        .attr('r', 7)
-        .attr('cx', () => self.x(self.highlightIdx))
-        .attr('cy', () => self.y(self.data[self.highlightIdx][1]))
-        .attr('fill', 'red');
-    },
-    plotData() {
-      const self = this;
-
-      /* eslint-disable */
-      const minX = d3.min(this.data, function g(d, i) { return i; });
-      const maxX = d3.max(this.data, function g(d, i) { return i; });
-
-      const maxY = d3.max(this.data, function g(d, i) { return d3.max(d); });
-      const minY = d3.min(this.data, function g(d, i) { return d3.min(d); });
-      /* eslint-enable */
-
-      this.xDomain = [minX, maxX];
-      this.yDomain = [minY, maxY];
-
-      this.updateXaxis();
-      this.updateYaxis();
-
-      /* eslint-disable */
-      const line1 = d3.line()
-             .x(function f(d, i) { return self.x(i); })
-             .y(function f(d, i) { return self.y(d[0]); });
-
-      const line2 = d3.line()
-             .x(function f(d, i) { return self.x(i); })
-             .y(function f(d, i) { return self.y(d[1]); });
-      /* eslint-enable */
-
-      this.lines = [line1, line2];
-
-
-      this.g.append('path')
-        .attr('class', 'series-1')
-        .datum(this.data)
-        .attr('fill', 'none')
-        .attr('stroke', 'steelblue')
-        .attr('stroke-linejoin', 'round')
-        .attr('stroke-linecap', 'round')
-        .attr('stroke-width', 1.5)
-        .attr('d', line1);
-
-      this.g.append('path')
-        .attr('class', 'series-2')
-        .datum(this.data)
-        .attr('fill', 'none')
-        .attr('stroke', 'red')
-        .attr('stroke-linejoin', 'round')
-        .attr('stroke-linecap', 'round')
-        .attr('stroke-width', 1.5)
-        .attr('d', line2);
-
-      this.g.selectAll('.outlier')
-        .data(this.outlier_indices)
-        .enter()
-        .append('rect')
-        .attr('class', 'outlier')
-        .attr('x', i => self.x(i) - 1.5)
-        .attr('y', () => self.y(maxY))
-        .attr('width', '3px')
-        .attr('height', () => `${self.height}px`)
-        .attr('fill', 'black');
-
-
-      this.svg.on('mousemove', () => {
-        // const x0 = self.x.invert(d3.mouse(this)[0]);
-        // const bisect = d3.bisector(function(d){return d[0]}).left;
-        // window.bisect = bisect;
-        // console.log(x0, self.x(0));
-      });
-    },
-
-
-  },
-  mounted() {
-    this.initAx();
-    this.plotData();
-  },
-  props: ['ylabel', 'xlabel', 'data', 'id', 'highlightIdx', 'outlier_indices'],
-};
-</script>
-
-<style>
-  .lineChart {
-    width: 100%;
-    height: 100%;
-  }
-</style>
diff --git a/dmriprepViewer/src/components/Report.vue b/dmriprepViewer/src/components/Report.vue
deleted file mode 100644
index a1c333d3..00000000
--- a/dmriprepViewer/src/components/Report.vue
+++ /dev/null
@@ -1,162 +0,0 @@
-<template>
-  <div class="mt-3 container">
-    <div v-if="report">
-      <h2 class="mt-3 pt-3">Corrected dwi</h2>
-      <p class="lead">Result of eddy</p>
-
-      <sprite4d v-for="view in report.dwi_corrected"
-                :key="view.orientation"
-                :M="view.M"
-                :N="view.N"
-                :img="view.img"
-                :num_slices="view.num_slices"
-                :pix="view.pix"
-                :id="view.orientation"
-                :time="time"
-                :overlayMode="false"
-                opacity="1"
-      >
-      </sprite4d>
-      <vue-slider ref="timeSlider" v-model="time"
-       :min="0" :max="report.dwi_corrected[0].num_slices-1">
-     </vue-slider>
-      <h2 class="mt-3 pt-3">Eddy Report</h2>
-      <p class="lead"> <b-btn v-b-toggle.collapse1 variant="primary">
-        Outliers ({{report.eddy_report.length}})</b-btn> </p>
-        <b-collapse id="collapse1" class="mt-2">
-          <b-card>
-
-            <p v-for="e in report.eddy_report" :key="e">{{e}}</p>
-
-          </b-card>
-        </b-collapse>
-
-        <div style="height: 200px; width: 100%; display: inline-flex;">
-          <line-chart id="motion_params"
-           :data="report.eddy_params"
-           :outlier_indices="report.outlier_volumes"
-           xlabel="TR"
-           ylabel="RMS"
-           :highlightIdx="time"
-          >
-          </line-chart>
-        </div>
-
-      <h2 class="mt-3 pt-3">Registration + Brain Mask</h2>
-      <p class="lead">Brain mask computed on T1w, and mapped to B0</p>
-
-      <BrainSprite
-        id="brainMaskSprite"
-        ref="brainMaskSprite"
-        :base_dim_x="report.b0.pix"
-        :base_dim_y="report.b0.pix"
-        :overlay_dim_x="report.anat_mask.pix"
-        :overlay_dim_y="report.anat_mask.pix"
-        :base="report.b0.img"
-        :overlay="report.anat_mask.img"
-      />
-
-      <h2 class="mt-3 pt-3">DTI: ColorFA</h2>
-      <p class="lead">Color FA mapped on B0</p>
-
-      <BrainSprite
-        id="colorFASprite"
-        ref="colorFASprite"
-        :base_dim_x="report.b0.pix"
-        :base_dim_y="report.b0.pix"
-        :overlay_dim_x="report.colorFA.pix"
-        :overlay_dim_y="report.colorFA.pix"
-        :base="report.b0.img"
-        :overlay="report.colorFA.img"
-      />
-
-    </div>
-  </div>
-</template>
-
-<script>
-import axios from 'axios';
-import vueSlider from 'vue-slider-component';
-import sprite4d from './Sprite4D';
-import lineChart from './LineChart';
-import BrainSprite from './BrainSprite.vue';
-
-export default {
-  name: 'report',
-  components: {
-    sprite4d,
-    vueSlider,
-    lineChart,
-    BrainSprite,
-  },
-  data() {
-    return {
-      time: 0,
-      spriteSlice: 0,
-      report: null,
-    };
-  },
-  methods: {
-    get_mid_slice() {
-      return Math.floor(this.report.b0.num_slices / 2);
-    },
-  },
-  created() {
-    // console.log('in created', this.$route.query);
-    if (this.$route.query) {
-      // load the json
-      if (!this.$route.query.url && this.$route.name === 'Report') {
-        this.$router.push('/');
-      } else if (this.$route.query.url) {
-        axios.get(this.$route.query.url).then((resp) => {
-          this.report = resp.data;
-        });
-      }
-    }
-  },
-  mounted() {
-    if (this.reportProp) {
-      this.report = this.reportProp;
-    }
-    this.$nextTick(() => {
-      if (this.report) {
-        this.spriteSlice = this.get_mid_slice();
-        // this.$refs.brainMaskSprite.initBrainSprite();
-        // this.$refs.colorFASprite.initBrainSprite();
-      }
-    });
-  },
-  watch: {
-    reportProp() {
-      if (this.reportProp) {
-        this.report = this.reportProp;
-      }
-    },
-    report() {
-      if (this.report) {
-        this.spriteSlice = this.get_mid_slice();
-      }
-    },
-    $route() {
-      if (this.$route.query) {
-        // load the json
-        if (!this.$route.query.url && this.$route.name === 'Report') {
-          this.$router.push('/');
-        } else {
-          console.log('getting axios?', this.$route.query.url);
-          axios.get(this.$route.query.url).then((resp) => {
-            this.report = resp.data;
-          });
-        }
-      }
-    },
-  },
-  props: {
-    reportProp: Object,
-  },
-};
-</script>
-
-<style>
-
-</style>
diff --git a/dmriprepViewer/src/components/Sprite4D.vue b/dmriprepViewer/src/components/Sprite4D.vue
deleted file mode 100644
index 2180661d..00000000
--- a/dmriprepViewer/src/components/Sprite4D.vue
+++ /dev/null
@@ -1,63 +0,0 @@
-<template>
-  <span class="mt-3">
-    <div class="sprite" :id="id" :style="style">
-    </div>
-  </span>
-</template>
-
-<script>
-export default {
-  name: 'sprite4d',
-  computed: {
-    row_idx() {
-      return Math.floor(this.time / this.M);
-    },
-    col_idx() {
-      return this.time % this.M;
-    },
-    style() {
-      const output = {
-        width: `${this.pix}px`,
-        height: `${this.pix}px`,
-        zoom: 3,
-        'background-position-x': `-${this.col_idx * this.pix}px`,
-        'background-position-y': `-${this.row_idx * this.pix}px`,
-        'background-image': `url('data:image/png;base64,${this.img}')`,
-        display: 'inline-flex',
-        opacity: this.opacity,
-      };
-      if (this.overlayMode) {
-        output.position = 'absolute';
-        output.left = `calc(50% - ${this.pix / 2}px)`;
-      }
-
-      return output;
-    },
-  },
-  data() {
-    return {
-
-    };
-  },
-  methods: {
-
-  },
-  mounted() {
-
-  },
-  watch: {
-    time() {
-
-    },
-  },
-  props: [
-    'M', 'N', 'pix', 'num_slices', 'img', 'id', 'time', 'overlayMode', 'opacity',
-  ],
-};
-</script>
-
-<style>
-  .sprite {
-    background-position: "0px 0px"
-  }
-</style>
diff --git a/dmriprepViewer/src/components/brainsprite.js b/dmriprepViewer/src/components/brainsprite.js
deleted file mode 100644
index e0281843..00000000
--- a/dmriprepViewer/src/components/brainsprite.js
+++ /dev/null
@@ -1,587 +0,0 @@
-/* eslint-disable */
-function brainsprite(params) {
-
-  // Function to add nearest neighbour interpolation to a canvas
-  function setNearestNeighbour(context,flag){
-    context.imageSmoothingEnabled = flag;
-    return context;
-  }
-
-  // Initialize the brain object
-  var brain = {};
-
-  // Initialize the brain object
-  var defaultParams = {
-     // Flag for "NaN" image values, i.e. unable to read values
-    nanValue: false,
-
-     // Smoothing of the main slices
-    smooth: false,
-
-     // Draw (or not) the current value
-     flagValue: false,
-
-     // Background color for the canvas
-    colorBackground: '#000000',
-
-    // Flag to turn on/off slice numbers
-    flagCoordinates: false,
-
-    // Origins and voxel size
-    origin: { X: 0, Y: 0, Z: 0 },
-    voxelSize: 1,
-
-    // Affine transformation
-    affine: false,
-
-    // Colorbar size parameters
-    heightColorBar: 0.04,
-
-    // Font parameters
-    sizeFont: 0.075,
-    colorFont: '#FFFFFF',
-
-    // Number of decimals displayed
-    nbDecimals: 3,
-
-    // Flag to turn on/off the crosshair
-    crosshair: false,
-
-    // Color of the crosshair
-    colorCrosshair: "#0000FF",
-
-    // Size crosshair - percentage of the field of view
-    sizeCrosshair: 0.9,
-
-    // Optional title for the viewer
-    title: false,
-
-    // Coordinates for the initial cut
-    numSlice: false,
-  }
-
-  var brain = Object.assign({}, defaultParams, params);
-
-  // Build affine, if not specified
-  if (typeof brain.affine === 'boolean' && brain.affine === false) {
-    brain.affine = [[brain.voxelSize , 0 , 0 , -brain.origin.X],
-                    [0 , brain.voxelSize , 0 , -brain.origin.Y],
-                    [0 , 0 , brain.voxelSize , -brain.origin.Z],
-                    [0 , 0 , 0               , 1]]
-
-  }
-
-  // The main canvas, where the three slices are drawn
-  brain.canvas = document.getElementById(params.canvas);
-  brain.context = brain.canvas.getContext('2d');
-  brain.context = setNearestNeighbour(brain.context,brain.smooth);
-
-  // An in-memory canvas to draw intermediate reconstruction
-  // of the coronal slice, at native resolution
-  brain.canvasY = document.createElement('canvas');
-  brain.contextY = brain.canvasY.getContext('2d');
-
-  // An in-memory canvas to draw intermediate reconstruction
-  // of the axial slice, at native resolution
-  brain.canvasZ = document.createElement('canvas');
-  brain.contextZ = brain.canvasZ.getContext('2d');
-
-  // An in-memory canvas to read the value of pixels
-  brain.canvasRead = document.createElement('canvas');
-  brain.contextRead = brain.canvasRead.getContext('2d');
-  brain.canvasRead.width = 1;
-  brain.canvasRead.height = 1;
-
-  // Onclick events
-  brain.onclick = typeof params.onclick !== 'undefined' ? params.onclick : "";
-
-  // Font parameters
-  if (brain.flagCoordinates) {
-    brain.spaceFont = 0.1;
-  } else {
-    brain.spaceFont = 0;
-  };
-
-  //******************//
-  // The sprite image //
-  //******************//
-  brain.sprite = document.getElementById(params.sprite);
-
-  // Number of columns and rows in the sprite
-  brain.nbCol = brain.sprite.width/params.nbSlice.Y;
-  brain.nbRow = brain.sprite.height/params.nbSlice.Z;
-  // Number of slices
-
-  brain.nbSlice = {
-    X: typeof params.nbSlice.X !== 'undefined' ? params.nbSlice.X : brain.nbCol*brain.nbRow,
-    Y: params.nbSlice.Y,
-    Z: params.nbSlice.Z
-  };
-
-  // width and height for the canvas
-  brain.widthCanvas  = {'X':0 , 'Y':0 , 'Z':0 };
-  brain.heightCanvas = {'X':0 , 'Y':0 , 'Z':0 , 'max':0};
-
-  // the slice numbers
-  if (brain.numSlice == false) {
-    brain.numSlice = { X: Math.floor(brain.nbSlice.X/2),
-                       Y: Math.floor(brain.nbSlice.Y/2),
-                       Z: Math.floor(brain.nbSlice.Z/2)}
-  };
-
-  // Coordinates for current slices - these will get updated when drawing the slices
-  brain.coordinatesSlice = {'X': 0, 'Y': 0, 'Z': 0 };
-
-  //*************//
-  // The planes  //
-  //*************//
-  brain.planes = {};
-  // A master sagital canvas for the merge of background and overlay
-  brain.planes.canvasMaster = document.createElement('canvas');
-  brain.planes.contextMaster = brain.planes.canvasMaster.getContext('2d');
-
-  //*************//
-  // The overlay //
-  //*************//
-  params.overlay = typeof params.overlay !== 'undefined' ? params.overlay : false;
-  if (params.overlay) {
-      // Initialize the overlay
-      brain.overlay = {};
-      // Get the sprite
-      brain.overlay.sprite = document.getElementById(params.overlay.sprite);
-      // Ratio between the resolution of the foreground and background
-      // Number of columns and rows in the overlay
-      brain.overlay.nbCol = brain.overlay.sprite.width/params.overlay.nbSlice.Y;
-      brain.overlay.nbRow = brain.overlay.sprite.height/params.overlay.nbSlice.Z;
-      // Number of slices in the overlay
-      brain.overlay.nbSlice = {
-        X: typeof params.overlay.nbSlice.X !== 'undefined' ? params.overlay.nbSlice.X : brain.overlay.nbCol*brain.overlay.nbRow,
-        Y: params.overlay.nbSlice.Y,
-        Z: params.overlay.nbSlice.Z
-      };
-      // opacity
-      brain.overlay.opacity = typeof params.overlay.opacity !== 'undefined' ? params.overlay.opacity : 1;
-  };
-
-  //**************//
-  // The colormap //
-  //**************//
-  params.colorMap = typeof params.colorMap !== 'undefined' ? params.colorMap: false;
-  if (params.colorMap) {
-      // Initialize the color map
-      brain.colorMap = {};
-      // Get the sprite
-      brain.colorMap.img = document.getElementById(params.colorMap.img);
-      // Set min / max
-      brain.colorMap.min = params.colorMap.min;
-      brain.colorMap.max = params.colorMap.max;
-      // Set visibility
-      params.colorMap.hide = typeof params.colorMap.hide !== 'undefined' ? params.colorMap.hide: false;
-      // An in-memory canvas to store the colormap
-      brain.colorMap.canvas = document.createElement('canvas');
-      brain.colorMap.context = brain.colorMap.canvas.getContext('2d');
-      brain.colorMap.canvas.width  = brain.colorMap.img.width;
-      brain.colorMap.canvas.height = brain.colorMap.img.height;
-
-      // Copy the color map in an in-memory canvas
-      brain.colorMap.context.drawImage(brain.colorMap.img,
-                0,0,brain.colorMap.img.width, brain.colorMap.img.height,
-                0,0,brain.colorMap.img.width, brain.colorMap.img.height);
-  };
-
-  //*******************************************//
-  // Extract the value associated with a voxel //
-  //*******************************************//
-  brain.getValue = function(rgb,colorMap) {
-    if (!colorMap) {
-      return NaN;
-    }
-    var cv, dist, nbColor, ind, val, voxelValue;
-    nbColor = colorMap.canvas.width;
-    ind = NaN;
-    val = Infinity;
-    for (let xx=0; xx<nbColor; xx++) {
-      cv = colorMap.context.getImageData(xx,0,1,1).data;
-      dist = Math.pow(cv[0]-rgb[0],2)+Math.pow(cv[1]-rgb[1],2)+Math.pow(cv[2]-rgb[2],2);
-      if (dist<val) {
-        ind = xx;
-        val = dist;
-      }
-    }
-    voxelValue = (ind*(colorMap.max - colorMap.min)/(nbColor-1)) + colorMap.min;
-    return voxelValue;
-  };
-
-
-  //***************************************//
-  // Update voxel value                    //
-  //***************************************//
-  brain.updateValue = function() {
-    var pos={};
-    var test1=[];
-    var test2=[];
-    if (brain.overlay && !brain.nanValue) {
-      try {
-        pos.XW = Math.round((brain.numSlice.X) % brain.nbCol);
-        pos.XH = Math.round((brain.numSlice.X - pos.XW) / brain.nbCol);
-        brain.contextRead.fillStyle='#FFFFFF';
-        brain.contextRead.fillRect(0, 0, 1, 1);
-        brain.contextRead.drawImage(brain.overlay.sprite,
-                                    pos.XW*brain.nbSlice.Y+brain.numSlice.Y,
-                                    pos.XH*brain.nbSlice.Z+brain.nbSlice.Z-brain.numSlice.Z-1,
-                                    1, 1, 0, 0, 1, 1);
-        let rgb = brain.contextRead.getImageData(0,0,1,1).data;
-        test1 = ( (rgb[0] == 255) && (rgb[1]==255) && (rgb[2]==255));
-        brain.contextRead.fillStyle='#000000';
-        brain.contextRead.fillRect(0, 0, 1, 1);
-        brain.contextRead.drawImage(brain.overlay.sprite,
-                                    pos.XW*brain.nbSlice.Y+brain.numSlice.Y,
-                                    pos.XH*brain.nbSlice.Z+brain.nbSlice.Z-brain.numSlice.Z-1,
-                                    1, 1, 0, 0, 1, 1 );
-        rgb = brain.contextRead.getImageData(0,0,1,1).data;
-        test2 = ( (rgb[0] == 0) && (rgb[1]==0) && (rgb[2]==0));
-        if (test1&&test2){
-          brain.voxelValue = NaN
-        }
-        else {
-          brain.voxelValue = brain.getValue(rgb,brain.colorMap);
-        }
-      }
-      catch(err) {
-        console.warn(err.message);
-        rgb = 0;
-        brain.nanValue = true;
-        brain.voxelValue = NaN;
-      }
-    } else {
-      brain.voxelValue = NaN;
-    };
-  };
-
-
-  //***************************************//
-  // Multiply two matrices                 //
-  //***************************************//
-  // Snippet copied from https://stackoverflow.com/questions/27205018/multiply-2-matrices-in-javascript
-  brain.multiply = function (a, b) {
-    var aNumRows = a.length, aNumCols = a[0].length,
-        bNumRows = b.length, bNumCols = b[0].length,
-        m = new Array(aNumRows);  // initialize array of rows
-    for (var r = 0; r < aNumRows; ++r) {
-      m[r] = new Array(bNumCols); // initialize the current row
-      for (var c = 0; c < bNumCols; ++c) {
-        m[r][c] = 0;             // initialize the current cell
-        for (var i = 0; i < aNumCols; ++i) {
-          m[r][c] += a[r][i] * b[i][c];
-        }
-      }
-    }
-    return m;
-  }
-
-
-  //***************************************//
-  // Update slice coordinates              //
-  //***************************************//
-  brain.updateCoordinates = function() {
-    const coordVoxel = brain.multiply(brain.affine,
-                  [ [brain.numSlice.X+1] ,
-                    [brain.numSlice.Y+1] ,
-                    [brain.numSlice.Z+1] ,
-                    [1] ]);
-    brain.coordinatesSlice.X = coordVoxel[0];
-    brain.coordinatesSlice.Y = coordVoxel[1];
-    brain.coordinatesSlice.Z = coordVoxel[2];
-  };
-
-
-  //***********************//
-  // Initialize the viewer //
-  //***********************//
-  brain.init = function() {
-
-    // Update the width of the X, Y and Z slices in the canvas, based on the width of its parent
-    brain.widthCanvas.X = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.Y/(2*brain.nbSlice.X+brain.nbSlice.Y)));
-    brain.widthCanvas.Y = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.X/(2*brain.nbSlice.X+brain.nbSlice.Y)));
-    brain.widthCanvas.Z = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.X/(2*brain.nbSlice.X+brain.nbSlice.Y)));
-    brain.widthCanvas.max = Math.max(brain.widthCanvas.X,brain.widthCanvas.Y,brain.widthCanvas.Z);
-
-    // Update the height of the slices in the canvas, based on width and image ratio
-    brain.heightCanvas.X = Math.floor(brain.widthCanvas.X * brain.nbSlice.Z / brain.nbSlice.Y );
-    brain.heightCanvas.Y = Math.floor(brain.widthCanvas.Y * brain.nbSlice.Z / brain.nbSlice.X );
-    brain.heightCanvas.Z = Math.floor(brain.widthCanvas.Z * brain.nbSlice.Y / brain.nbSlice.X );
-    brain.heightCanvas.max = Math.max(brain.heightCanvas.X,brain.heightCanvas.Y,brain.heightCanvas.Z);
-
-    // Apply the width/height to the canvas, if necessary
-    if (brain.canvas.width!=(brain.widthCanvas.X+brain.widthCanvas.Y+brain.widthCanvas.Z)) {
-      brain.canvas.width = brain.widthCanvas.X+brain.widthCanvas.Y+brain.widthCanvas.Z;
-      brain.canvas.height = Math.round((1+brain.spaceFont)*(brain.heightCanvas.max));
-      brain.context = setNearestNeighbour(brain.context,brain.smooth);
-    };
-
-    // Size for fonts
-    brain.sizeFontPixels = Math.round(brain.sizeFont*(brain.heightCanvas.max));
-
-    // fonts
-    brain.context.font = brain.sizeFontPixels + "px Arial";
-
-    // Draw the Master canvas
-    brain.planes.canvasMaster.width = brain.sprite.width;
-    brain.planes.canvasMaster.height = brain.sprite.height;
-    brain.planes.contextMaster.globalAlpha = 1;
-    brain.planes.contextMaster.drawImage(brain.sprite,
-            0, 0, brain.sprite.width, brain.sprite.height,0, 0, brain.sprite.width, brain.sprite.height );
-    if (brain.overlay) {
-        // Draw the overlay on a canvas
-        brain.planes.contextMaster.globalAlpha = brain.overlay.opacity;
-        brain.planes.contextMaster.drawImage(brain.overlay.sprite,
-            0, 0, brain.overlay.sprite.width, brain.overlay.sprite.height,0,0,brain.sprite.width,brain.sprite.height);
-    };
-
-    // Draw the X canvas (sagital)
-    brain.planes.canvasX = document.createElement('canvas');
-    brain.planes.contextX = brain.planes.canvasX.getContext('2d');
-    brain.planes.canvasX.width  = brain.nbSlice.Y;
-    brain.planes.canvasX.height = brain.nbSlice.Z;
-
-    // Draw the Y canvas (coronal)
-    brain.planes.canvasY = document.createElement('canvas');
-    brain.planes.contextY = brain.planes.canvasY.getContext('2d');
-    brain.planes.canvasY.width  = brain.nbSlice.X;
-    brain.planes.canvasY.height = brain.nbSlice.Z;
-
-    // Draw the Z canvas (axial)
-    brain.planes.canvasZ = document.createElement('canvas');
-    brain.planes.contextZ = brain.planes.canvasZ.getContext('2d');
-    brain.planes.canvasZ.width = brain.nbSlice.X;
-    brain.planes.canvasZ.height = brain.nbSlice.Y;
-    brain.planes.contextZ.rotate(-Math.PI/2);
-    brain.planes.contextZ.translate(-brain.nbSlice.Y,0);
-
-    // Update value
-    brain.updateValue()
-
-    // Update coordinates
-    brain.updateCoordinates()
-
-    // Round up slice coordinates
-    brain.numSlice.X = Math.round(brain.numSlice.X)
-    brain.numSlice.Y = Math.round(brain.numSlice.Y)
-    brain.numSlice.Z = Math.round(brain.numSlice.Z)
-
-  }
-
-
-  //***************************************//
-  // Draw a particular slice in the canvas //
-  //***************************************//
-  brain.draw = function(slice,type) {
-
-    // Init variables
-    var pos={}, coord, coordWidth, offset={X:'',Y:'',Z:''};
-    offset.X = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.X/2)
-    offset.Y = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.Y/2)
-    offset.Z = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.Z/2)
-
-    // Now draw the slice
-    switch(type) {
-      case 'X':
-        // Draw a sagital slice in memory
-        pos.XW = ((brain.numSlice.X)%brain.nbCol);
-        pos.XH = (brain.numSlice.X-pos.XW)/brain.nbCol;
-        brain.planes.contextX.drawImage(brain.planes.canvasMaster,
-                pos.XW*brain.nbSlice.Y, pos.XH*brain.nbSlice.Z, brain.nbSlice.Y, brain.nbSlice.Z,0, 0, brain.nbSlice.Y, brain.nbSlice.Z );
-
-        // Add a crosshair
-        if (brain.crosshair) {
-          brain.planes.contextX.fillStyle = brain.colorCrosshair;
-          brain.planes.contextX.fillRect( brain.numSlice.Y, offset.Z , 1 , brain.nbSlice.Z-2*offset.Z );
-          brain.planes.contextX.fillRect( offset.Y, brain.nbSlice.Z-brain.numSlice.Z-1, brain.nbSlice.Y-2*offset.Y , 1 );
-        }
-
-        // fill the slice with background color
-        brain.context.fillStyle=brain.colorBackground;
-        brain.context.fillRect(0, 0, brain.widthCanvas.X , brain.canvas.height);
-
-        // Draw on the main canvas
-        brain.context.drawImage(brain.planes.canvasX,
-                0, 0, brain.nbSlice.Y, brain.nbSlice.Z,0, (brain.heightCanvas.max-brain.heightCanvas.X)/2, brain.widthCanvas.X, brain.heightCanvas.X );
-
-        // Draw the title
-        if (brain.title) {
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(brain.title,Math.round(brain.widthCanvas.X/10),Math.round( (brain.heightCanvas.max*brain.heightColorBar) + (1/4)*(brain.sizeFontPixels)));
-        }
-
-        // Draw the value at current voxel
-        if (brain.flagValue) {
-          value = "value = "+Number.parseFloat(brain.voxelValue).toPrecision(brain.nbDecimals).replace(/0+$/,"")
-          valueWidth = brain.context.measureText(value).width;
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(value,Math.round(brain.widthCanvas.X/10),Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels)));
-        }
-
-        // Add X coordinates on the slice
-        if (brain.flagCoordinates) {
-          coord = "x = "+Math.round(brain.coordinatesSlice.X);
-          coordWidth = brain.context.measureText(coord).width;
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(coord,brain.widthCanvas.X/2-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
-        }
-      break;
-
-      case 'Y':
-        // Draw a single coronal slice at native resolution
-        brain.context.fillStyle=brain.colorBackground;
-        brain.context.fillRect(brain.widthCanvas.X, 0, brain.widthCanvas.Y, brain.canvas.height);
-        for (let xx=0; xx<brain.nbSlice.X; xx++) {
-          const posW = (xx%brain.nbCol);
-          const posH = (xx-posW)/brain.nbCol;
-          brain.planes.contextY.drawImage(brain.planes.canvasMaster,
-              posW*brain.nbSlice.Y + brain.numSlice.Y, posH*brain.nbSlice.Z, 1, brain.nbSlice.Z, xx, 0, 1, brain.nbSlice.Z );
-        }
-
-        // Add a crosshair
-        if (brain.crosshair) {
-          brain.planes.contextY.fillStyle = brain.colorCrosshair;
-          brain.planes.contextY.fillRect( brain.numSlice.X, offset.Z , 1 , brain.nbSlice.Z-2*offset.Z );
-          brain.planes.contextY.fillRect( offset.X, brain.nbSlice.Z-brain.numSlice.Z-1 , brain.nbSlice.X-2*offset.X , 1 );
-        }
-
-        // Redraw the coronal slice in the canvas at screen resolution
-        brain.context.drawImage(brain.planes.canvasY,
-          0, 0, brain.nbSlice.X, brain.nbSlice.Z, brain.widthCanvas.X, (brain.heightCanvas.max-brain.heightCanvas.Y)/2, brain.widthCanvas.Y, brain.heightCanvas.Y );
-
-        // Add colorbar
-        if ((brain.colorMap)&&(!brain.colorMap.hide)) {
-          // draw the colorMap on the coronal slice at screen resolution
-          brain.context.drawImage(brain.colorMap.img,
-                0, 0, brain.colorMap.img.width, 1, Math.round(brain.widthCanvas.X + brain.widthCanvas.Y*0.2) , Math.round(brain.heightCanvas.max * brain.heightColorBar / 2), Math.round(brain.widthCanvas.Y*0.6) , Math.round(brain.heightCanvas.max * brain.heightColorBar));
-          brain.context.fillStyle = brain.colorFont;
-          label_min = Number.parseFloat(brain.colorMap.min).toPrecision(brain.nbDecimals).replace(/0+$/,"")
-          label_max = Number.parseFloat(brain.colorMap.max).toPrecision(brain.nbDecimals).replace(/0+$/,"")
-          brain.context.fillText(label_min,brain.widthCanvas.X+(brain.widthCanvas.Y*0.2)-brain.context.measureText(label_min).width/2,Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels) ));
-          brain.context.fillText(label_max,brain.widthCanvas.X+(brain.widthCanvas.Y*0.8)-brain.context.measureText(label_max).width/2,Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels) ));
-        }
-
-        // Add Y coordinates on the slice
-        if (brain.flagCoordinates) {
-          brain.context.font = brain.sizeFontPixels + "px Arial";
-          brain.context.fillStyle = brain.colorFont;
-          coord = "y = "+Math.round(brain.coordinatesSlice.Y);
-          coordWidth = brain.context.measureText(coord).width;
-          brain.context.fillText(coord,brain.widthCanvas.X+(brain.widthCanvas.Y/2)-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
-        }
-
-      case 'Z':
-        // Draw a single axial slice at native resolution
-        brain.context.fillStyle=brain.colorBackground;
-        brain.context.fillRect(brain.widthCanvas.X+brain.widthCanvas.Y, 0, brain.widthCanvas.Z, brain.canvas.height);
-
-        for (let xx=0; xx<brain.nbSlice.X; xx++) {
-          const posW = (xx%brain.nbCol);
-          const posH = (xx-posW)/brain.nbCol;
-          brain.planes.contextZ.drawImage(brain.planes.canvasMaster,
-              posW*brain.nbSlice.Y , posH*brain.nbSlice.Z + brain.nbSlice.Z-brain.numSlice.Z-1, brain.nbSlice.Y, 1, 0, xx, brain.nbSlice.Y, 1 );
-        }
-
-        // Add a crosshair
-        if (brain.crosshair) {
-          brain.planes.contextZ.fillStyle = brain.colorCrosshair;
-          brain.planes.contextZ.fillRect( offset.Y,  brain.numSlice.X , brain.nbSlice.Y-2*offset.Y , 1 );
-          brain.planes.contextZ.fillRect( brain.numSlice.Y , offset.X , 1, brain.nbSlice.X-2*offset.X );
-        }
-
-        // Redraw the axial slice in the canvas at screen resolution
-        brain.context.drawImage(brain.planes.canvasZ,
-          0, 0, brain.nbSlice.X, brain.nbSlice.Y, brain.widthCanvas.X+brain.widthCanvas.Y, (brain.heightCanvas.max-brain.heightCanvas.Z)/2, brain.widthCanvas.Z, brain.heightCanvas.Z );
-
-        // Add Z coordinates on the slice
-        if (brain.flagCoordinates) {
-          coord = "z = "+Math.round(brain.coordinatesSlice.Z);
-          coordWidth = brain.context.measureText(coord).width;
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(coord,brain.widthCanvas.X+brain.widthCanvas.Y+(brain.widthCanvas.Z/2)-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
-        }
-    }
-  };
-
-  // In case of click, update brain slices
-  brain.clickBrain = function(e){
-    var rect = brain.canvas.getBoundingClientRect();
-    var xx = e.clientX - rect.left;
-    var yy = e.clientY - rect.top;
-    var sx, sy, sz;
-
-    if (xx<brain.widthCanvas.X){
-      sy = Math.round((brain.nbSlice.Y-1)*(xx/brain.widthCanvas.X));
-      sz = Math.round((brain.nbSlice.Z-1)*(((brain.heightCanvas.max+brain.heightCanvas.X)/2)-yy)/brain.heightCanvas.X);
-      brain.numSlice.Y = Math.max(Math.min(sy,brain.nbSlice.Y-1),0);
-      brain.numSlice.Z = Math.max(Math.min(sz,brain.nbSlice.Z-1),0);
-    } else if (xx<(brain.widthCanvas.X+brain.widthCanvas.Y)) {
-      xx = xx-brain.widthCanvas.X;
-      sx = Math.round((brain.nbSlice.X-1)*(xx/brain.widthCanvas.Y));
-      sz = Math.round((brain.nbSlice.Z-1)*(((brain.heightCanvas.max+brain.heightCanvas.X)/2)-yy)/brain.heightCanvas.X);
-      brain.numSlice.X = Math.max(Math.min(sx,brain.nbSlice.X-1),0);
-      brain.numSlice.Z = Math.max(Math.min(sz,brain.nbSlice.Z-1),0);
-    } else {
-      xx = xx-brain.widthCanvas.X-brain.widthCanvas.Y;
-      sx = Math.round((brain.nbSlice.X-1)*(xx/brain.widthCanvas.Z));
-      sy = Math.round((brain.nbSlice.Y-1)*(((brain.heightCanvas.max+brain.heightCanvas.Z)/2)-yy)/brain.heightCanvas.Z);
-      brain.numSlice.X = Math.max(Math.min(sx,brain.nbSlice.X-1),0);
-      brain.numSlice.Y = Math.max(Math.min(sy,brain.nbSlice.Y-1),0);
-    };
-    // Update value
-    brain.updateValue()
-
-    // Update coordinates
-    brain.updateCoordinates()
-
-    // Redraw slices
-    brain.drawAll()
-    if (brain.onclick) {
-      brain.onclick(e);
-    };
-  };
-
-  brain.drawAll = function(){
-    brain.draw(brain.numSlice.X,'X');
-    brain.draw(brain.numSlice.Y,'Y');
-    brain.draw(brain.numSlice.Z,'Z');
-  };
-
-  // Attach a listener for clicks
-  brain.canvas.addEventListener('click', brain.clickBrain, false);
-
-  // Attach a listener on mouse down
-  brain.canvas.addEventListener('mousedown', function(e) {
-    brain.canvas.addEventListener('mousemove', brain.clickBrain, false);
-  }, false);
-
-  // Detach the listener on mouse up
-  brain.canvas.addEventListener('mouseup', function(e) {
-      brain.canvas.removeEventListener('mousemove', brain.clickBrain, false);
-    }, false);
-
-  // Draw all slices when background/overlay are loaded
-  brain.sprite.addEventListener('load', function(){
-    brain.init();
-    brain.drawAll();
-  });
-  if (brain.overlay) {
-    brain.overlay.sprite.addEventListener('load', function(){
-      brain.init();
-      brain.drawAll();
-    });
-  }
-
-  // Init the viewer
-  brain.init();
-
-  // Draw all slices
-  brain.drawAll();
-
-  return brain;
-};
-
-export default brainsprite
diff --git a/dmriprepViewer/src/main.js b/dmriprepViewer/src/main.js
deleted file mode 100644
index b31b5b6f..00000000
--- a/dmriprepViewer/src/main.js
+++ /dev/null
@@ -1,15 +0,0 @@
-// The Vue build version to load with the `import` command
-// (runtime-only or standalone) has been set in webpack.base.conf with an alias.
-import Vue from 'vue';
-import App from './App';
-import router from './router';
-
-Vue.config.productionTip = false;
-
-/* eslint-disable no-new */
-new Vue({
-  el: '#app',
-  router,
-  components: { App },
-  template: '<App/>',
-});
diff --git a/dmriprepViewer/src/router/index.js b/dmriprepViewer/src/router/index.js
deleted file mode 100644
index 5ddffbe7..00000000
--- a/dmriprepViewer/src/router/index.js
+++ /dev/null
@@ -1,27 +0,0 @@
-import Vue from 'vue';
-import Router from 'vue-router';
-import HelloWorld from '@/components/HelloWorld';
-import Report from '@/components/Report';
-import Bucket from '@/components/Bucket';
-
-Vue.use(Router);
-
-export default new Router({
-  routes: [
-    {
-      path: '/',
-      name: 'HelloWorld',
-      component: HelloWorld,
-    },
-    {
-      path: '/report',
-      name: 'Report',
-      component: Report,
-    },
-    {
-      path: '/bucket/:bucket',
-      name: 'Bucket',
-      component: Bucket,
-    },
-  ],
-});
diff --git a/dmriprepViewer/static/.gitkeep b/dmriprepViewer/static/.gitkeep
deleted file mode 100644
index e69de29b..00000000
diff --git a/dmriprepViewer/test/e2e/custom-assertions/elementCount.js b/dmriprepViewer/test/e2e/custom-assertions/elementCount.js
deleted file mode 100644
index 818e6020..00000000
--- a/dmriprepViewer/test/e2e/custom-assertions/elementCount.js
+++ /dev/null
@@ -1,27 +0,0 @@
-// A custom Nightwatch assertion.
-// The assertion name is the filename.
-// Example usage:
-//
-//   browser.assert.elementCount(selector, count)
-//
-// For more information on custom assertions see:
-// http://nightwatchjs.org/guide#writing-custom-assertions
-
-exports.assertion = function (selector, count) {
-  this.message = 'Testing if element <' + selector + '> has count: ' + count
-  this.expected = count
-  this.pass = function (val) {
-    return val === this.expected
-  }
-  this.value = function (res) {
-    return res.value
-  }
-  this.command = function (cb) {
-    var self = this
-    return this.api.execute(function (selector) {
-      return document.querySelectorAll(selector).length
-    }, [selector], function (res) {
-      cb.call(self, res)
-    })
-  }
-}
diff --git a/dmriprepViewer/test/e2e/nightwatch.conf.js b/dmriprepViewer/test/e2e/nightwatch.conf.js
deleted file mode 100644
index f019c0ac..00000000
--- a/dmriprepViewer/test/e2e/nightwatch.conf.js
+++ /dev/null
@@ -1,46 +0,0 @@
-require('babel-register')
-var config = require('../../config')
-
-// http://nightwatchjs.org/gettingstarted#settings-file
-module.exports = {
-  src_folders: ['test/e2e/specs'],
-  output_folder: 'test/e2e/reports',
-  custom_assertions_path: ['test/e2e/custom-assertions'],
-
-  selenium: {
-    start_process: true,
-    server_path: require('selenium-server').path,
-    host: '127.0.0.1',
-    port: 4444,
-    cli_args: {
-      'webdriver.chrome.driver': require('chromedriver').path
-    }
-  },
-
-  test_settings: {
-    default: {
-      selenium_port: 4444,
-      selenium_host: 'localhost',
-      silent: true,
-      globals: {
-        devServerURL: 'http://localhost:' + (process.env.PORT || config.dev.port)
-      }
-    },
-
-    chrome: {
-      desiredCapabilities: {
-        browserName: 'chrome',
-        javascriptEnabled: true,
-        acceptSslCerts: true
-      }
-    },
-
-    firefox: {
-      desiredCapabilities: {
-        browserName: 'firefox',
-        javascriptEnabled: true,
-        acceptSslCerts: true
-      }
-    }
-  }
-}
diff --git a/dmriprepViewer/test/e2e/runner.js b/dmriprepViewer/test/e2e/runner.js
deleted file mode 100644
index 27220329..00000000
--- a/dmriprepViewer/test/e2e/runner.js
+++ /dev/null
@@ -1,48 +0,0 @@
-// 1. start the dev server using production config
-process.env.NODE_ENV = 'testing'
-
-const webpack = require('webpack')
-const DevServer = require('webpack-dev-server')
-
-const webpackConfig = require('../../build/webpack.prod.conf')
-const devConfigPromise = require('../../build/webpack.dev.conf')
-
-let server
-
-devConfigPromise.then(devConfig => {
-  const devServerOptions = devConfig.devServer
-  const compiler = webpack(webpackConfig)
-  server = new DevServer(compiler, devServerOptions)
-  const port = devServerOptions.port
-  const host = devServerOptions.host
-  return server.listen(port, host)
-})
-.then(() => {
-  // 2. run the nightwatch test suite against it
-  // to run in additional browsers:
-  //    1. add an entry in test/e2e/nightwatch.conf.js under "test_settings"
-  //    2. add it to the --env flag below
-  // or override the environment flag, for example: `npm run e2e -- --env chrome,firefox`
-  // For more information on Nightwatch's config file, see
-  // http://nightwatchjs.org/guide#settings-file
-  let opts = process.argv.slice(2)
-  if (opts.indexOf('--config') === -1) {
-    opts = opts.concat(['--config', 'test/e2e/nightwatch.conf.js'])
-  }
-  if (opts.indexOf('--env') === -1) {
-    opts = opts.concat(['--env', 'chrome'])
-  }
-
-  const spawn = require('cross-spawn')
-  const runner = spawn('./node_modules/.bin/nightwatch', opts, { stdio: 'inherit' })
-
-  runner.on('exit', function (code) {
-    server.close()
-    process.exit(code)
-  })
-
-  runner.on('error', function (err) {
-    server.close()
-    throw err
-  })
-})
diff --git a/dmriprepViewer/test/e2e/specs/test.js b/dmriprepViewer/test/e2e/specs/test.js
deleted file mode 100644
index ee3514ee..00000000
--- a/dmriprepViewer/test/e2e/specs/test.js
+++ /dev/null
@@ -1,19 +0,0 @@
-// For authoring Nightwatch tests, see
-// http://nightwatchjs.org/guide#usage
-
-module.exports = {
-  'default e2e tests': function test(browser) {
-    // automatically uses dev Server port from /config.index.js
-    // default: http://localhost:8080
-    // see nightwatch.conf.js
-    const devServer = browser.globals.devServerURL;
-
-    browser
-      .url(devServer)
-      .waitForElementVisible('#app', 5000)
-      .assert.elementPresent('.hello')
-      .assert.containsText('h1', 'Welcome to Your Vue.js App')
-      .assert.elementCount('img', 1)
-      .end();
-  },
-};
diff --git a/dmriprepViewer/test/unit/.eslintrc b/dmriprepViewer/test/unit/.eslintrc
deleted file mode 100644
index 4d5d98f3..00000000
--- a/dmriprepViewer/test/unit/.eslintrc
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-  "env": { 
-    "jest": true
-  },
-  "globals": { 
-  }
-}
diff --git a/dmriprepViewer/test/unit/jest.conf.js b/dmriprepViewer/test/unit/jest.conf.js
deleted file mode 100644
index 8a1977ee..00000000
--- a/dmriprepViewer/test/unit/jest.conf.js
+++ /dev/null
@@ -1,30 +0,0 @@
-const path = require('path');
-
-module.exports = {
-  rootDir: path.resolve(__dirname, '../../'),
-  moduleFileExtensions: [
-    'js',
-    'json',
-    'vue',
-  ],
-  moduleNameMapper: {
-    '^@/(.*)$': '<rootDir>/src/$1',
-  },
-  transform: {
-    '^.+\\.js$': '<rootDir>/node_modules/babel-jest',
-    '.*\\.(vue)$': '<rootDir>/node_modules/vue-jest',
-  },
-  testPathIgnorePatterns: [
-    '<rootDir>/test/e2e',
-  ],
-  snapshotSerializers: ['<rootDir>/node_modules/jest-serializer-vue'],
-  setupFiles: ['<rootDir>/test/unit/setup'],
-  mapCoverage: true,
-  coverageDirectory: '<rootDir>/test/unit/coverage',
-  collectCoverageFrom: [
-    'src/**/*.{js,vue}',
-    '!src/main.js',
-    '!src/router/index.js',
-    '!**/node_modules/**',
-  ],
-};
diff --git a/dmriprepViewer/test/unit/setup.js b/dmriprepViewer/test/unit/setup.js
deleted file mode 100644
index a9bec302..00000000
--- a/dmriprepViewer/test/unit/setup.js
+++ /dev/null
@@ -1,3 +0,0 @@
-import Vue from 'vue';
-
-Vue.config.productionTip = false;
diff --git a/dmriprepViewer/test/unit/specs/HelloWorld.spec.js b/dmriprepViewer/test/unit/specs/HelloWorld.spec.js
deleted file mode 100644
index 3348a98f..00000000
--- a/dmriprepViewer/test/unit/specs/HelloWorld.spec.js
+++ /dev/null
@@ -1,11 +0,0 @@
-import Vue from 'vue';
-import HelloWorld from '@/components/HelloWorld';
-
-describe('HelloWorld.vue', () => {
-  it('should render correct contents', () => {
-    const Constructor = Vue.extend(HelloWorld);
-    const vm = new Constructor().$mount();
-    expect(vm.$el.querySelector('.hello h1').textContent)
-      .toEqual('Welcome to Your Vue.js App');
-  });
-});
diff --git a/docker/Dockerfile b/docker/Dockerfile
deleted file mode 100644
index 06515d67..00000000
--- a/docker/Dockerfile
+++ /dev/null
@@ -1,174 +0,0 @@
-# Generated by Neurodocker version 0.4.1
-# Timestamp: 2018-09-04 17:44:34 UTC
-#
-# Thank you for using Neurodocker. If you discover any issues
-# or ways to improve this software, please submit an issue or
-# pull request on our GitHub repository:
-#
-#     https://github.com/kaczmarj/neurodocker
-
-FROM debian:stretch
-
-ARG DEBIAN_FRONTEND="noninteractive"
-
-ENV LANG="en_US.UTF-8" \
-    LC_ALL="en_US.UTF-8" \
-    ND_ENTRYPOINT="/neurodocker/startup.sh"
-RUN export ND_ENTRYPOINT="/neurodocker/startup.sh" \
-    && apt-get update -qq \
-    && apt-get install -y -q --no-install-recommends \
-           apt-utils \
-           bzip2 \
-           ca-certificates \
-           curl \
-           locales \
-           unzip \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* \
-    && sed -i -e 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen \
-    && dpkg-reconfigure --frontend=noninteractive locales \
-    && update-locale LANG="en_US.UTF-8" \
-    && chmod 777 /opt && chmod a+s /opt \
-    && mkdir -p /neurodocker \
-    && if [ ! -f "$ND_ENTRYPOINT" ]; then \
-         echo '#!/usr/bin/env bash' >> "$ND_ENTRYPOINT" \
-    &&   echo 'set -e' >> "$ND_ENTRYPOINT" \
-    &&   echo 'if [ -n "$1" ]; then "$@"; else /usr/bin/env bash; fi' >> "$ND_ENTRYPOINT"; \
-    fi \
-    && chmod -R 777 /neurodocker && chmod a+s /neurodocker
-
-ENTRYPOINT ["/neurodocker/startup.sh"]
-
-ENV FSLDIR="/opt/fsl-5.0.11" \
-    PATH="/opt/fsl-5.0.11/bin:$PATH"
-RUN apt-get update -qq \
-    && apt-get install -y -q --no-install-recommends \
-           bc \
-           dc \
-           file \
-           libfontconfig1 \
-           libfreetype6 \
-           libgl1-mesa-dev \
-           libglu1-mesa-dev \
-           libgomp1 \
-           libice6 \
-           libmng1 \
-           libxcursor1 \
-           libxft2 \
-           libxinerama1 \
-           libxrandr2 \
-           libxrender1 \
-           libxt6 \
-           wget \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* \
-    && echo "Downloading FSL ..." \
-    && mkdir -p /opt/fsl-5.0.11 \
-    && curl -fsSL --retry 5 https://fsl.fmrib.ox.ac.uk/fsldownloads/fsl-5.0.11-centos6_64.tar.gz \
-    | tar -xz -C /opt/fsl-5.0.11 --strip-components 1 \
-    && sed -i '$iecho Some packages in this Docker container are non-free' $ND_ENTRYPOINT \
-    && sed -i '$iecho If you are considering commercial use of this container, please consult the relevant license:' $ND_ENTRYPOINT \
-    && sed -i '$iecho https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Licence' $ND_ENTRYPOINT \
-    && sed -i '$isource $FSLDIR/etc/fslconf/fsl.sh' $ND_ENTRYPOINT \
-    && echo "Installing FSL conda environment ..." \
-    && bash /opt/fsl-5.0.11/etc/fslconf/fslpython_install.sh -f /opt/fsl-5.0.11
-
-ENV CONDA_DIR="/opt/miniconda-latest" \
-    PATH="/opt/miniconda-latest/bin:$PATH"
-RUN export PATH="/opt/miniconda-latest/bin:$PATH" \
-    && echo "Downloading Miniconda installer ..." \
-    && conda_installer="/tmp/miniconda.sh" \
-    && curl -fsSL --retry 5 -o "$conda_installer" https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh \
-    && bash "$conda_installer" -b -p /opt/miniconda-latest \
-    && rm -f "$conda_installer" \
-    && conda update -yq -nbase conda \
-    && conda config --system --prepend channels conda-forge \
-    && conda config --system --set auto_update_conda false \
-    && conda config --system --set show_channel_urls true \
-    && sync && conda clean -tipsy && sync
-#    && conda create -y -q --name dmriprep
-
-# RUN conda install -y -q --name dmriprep \
-#            -c \
-#            conda-forge \
-#            python=3.6 \
-#            nipype \
-#            dipy \
-#            boto3 \
-#     && sync && conda clean -tipsy && sync
-
-
-ENV FREESURFER_HOME="/opt/freesurfer-6.0.0" \
-    PATH="/opt/freesurfer-6.0.0/bin:$PATH"
-
-RUN apt-get update -qq \
-    && apt-get install -y -q --no-install-recommends \
-           bc \
-           libgomp1 \
-           libxmu6 \
-           libxt6 \
-           perl \
-           tcsh \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* \
-    && echo "Downloading FreeSurfer ..." \
-    && mkdir -p /opt/freesurfer-6.0.0 \
-    && curl -fsSL --retry 5 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/6.0.0/freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0.tar.gz \
-    | tar -xz -C /opt/freesurfer-6.0.0 --strip-components 1 \
-         --exclude='freesurfer/average/mult-comp-cor' \
-         --exclude='freesurfer/lib/cuda' \
-         --exclude='freesurfer/lib/qt' \
-         --exclude='freesurfer/subjects/V1_average' \
-         --exclude='freesurfer/subjects/bert' \
-         --exclude='freesurfer/subjects/cvs_avg35' \
-         --exclude='freesurfer/subjects/cvs_avg35_inMNI152' \
-         --exclude='freesurfer/subjects/fsaverage3' \
-         --exclude='freesurfer/subjects/fsaverage4' \
-         --exclude='freesurfer/subjects/fsaverage5' \
-         --exclude='freesurfer/subjects/fsaverage6' \
-         --exclude='freesurfer/subjects/fsaverage_sym' \
-         --exclude='freesurfer/trctrain' \
-    && sed -i '$isource "/opt/freesurfer-6.0.0/SetUpFreeSurfer.sh"' "$ND_ENTRYPOINT"
-
-COPY ./license.txt /opt/freesurfer-6.0.0/license.txt
-
-#&& sync && conda clean -tipsy && sync
-
-RUN apt-get update && apt-get install -y git gcc libopenblas-base
-ADD environment.yml environment.yml
-RUN conda env create -f environment.yml
-
-ENV LD_LIBRARY_PATH=/usr/lib/openblas-base/
-
-RUN sed -i '$isource activate dmriprep' $ND_ENTRYPOINT
-
-
-RUN echo '{ \
-    \n  "pkg_manager": "apt", \
-    \n  "instructions": [ \
-    \n    [ \
-    \n      "base", \
-    \n      "debian:stretch" \
-    \n    ], \
-    \n    [ \
-    \n      "fsl", \
-    \n      { \
-    \n        "version": "5.0.11" \
-    \n      } \
-    \n    ], \
-    \n    [ \
-    \n      "miniconda", \
-    \n      { \
-    \n        "conda_install": [ \
-    \n          "-c", \
-    \n          "conda-forge", \
-    \n          "python=3.6", \
-    \n          "nipype", \
-    \n          "dipy" \
-    \n        ], \
-    \n        "create_env": "dmriprep", \
-    \n        "use_env": "dmriprep" \
-    \n      } \
-    \n    ] \
-    \n  ] \
-    \n}' > /neurodocker/neurodocker_specs.json
diff --git a/docker/environment.yml b/docker/environment.yml
deleted file mode 100644
index 30b45f5f..00000000
--- a/docker/environment.yml
+++ /dev/null
@@ -1,17 +0,0 @@
-name: dmriprep
-channels:
-   - conda-forge
-dependencies:
-   - python=3.6
-   - boto3
-   - dask
-   - dipy=0.15
-   - graphviz
-   - ipython
-   - pandas
-   - tqdm
-   - pip:
-     - "--editable=git+https://github.com/akeshavan/nipype@87e53615867c9850c359002909c71825343b2e35#egg=nipype"
-     - "--editable=git+https://git.fmrib.ox.ac.uk/matteob/eddy_qc_release@57bb11da6a634c4195593fbc439ba9f8998157b0#egg=eddy_qc"
-     - bids
-     - duecredit
diff --git a/docker/license.txt b/docker/license.txt
deleted file mode 100644
index 2f4623ee..00000000
--- a/docker/license.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-keshavan@uw.edu
-37716
- *C9LImOstH7yw
- FSrY9yK/yWp8E
diff --git a/kubernetes/create_kube_job.py b/kubernetes/create_kube_job.py
deleted file mode 100755
index a19c3fa7..00000000
--- a/kubernetes/create_kube_job.py
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/usr/bin/env python
-import sys
-from boto3 import Session
-
-if __name__ == "__main__":
-    if len(sys.argv) > 1:
-        subject = sys.argv[1]
-
-        session = Session()
-        credentials = session.get_credentials()
-        # Credentials are refreshable, so accessing your access key / secret key
-        # separately can lead to a race condition. Use this to get an actual matched
-        # set.
-        current_credentials = credentials.get_frozen_credentials()
-
-        access_key = current_credentials.access_key
-        secret_key = current_credentials.secret_key
-
-        with open("run_dmriprep.yml.tmpl", 'r') as template:
-            with open("jobs/job_{}.yml".format(subject), 'w') as f:
-                all_text = "\n".join(template.readlines())
-                all_text = all_text.replace("{{subject_lower}}", subject.lower())
-                all_text = all_text.replace("{{subject}}", subject)
-                all_text = all_text.replace("{{access_key}}", access_key)
-                all_text = all_text.replace("{{secret_key}}", secret_key)
-                f.write(all_text)
-
diff --git a/kubernetes/delete_cluster.sh b/kubernetes/delete_cluster.sh
deleted file mode 100755
index 5f2d07f1..00000000
--- a/kubernetes/delete_cluster.sh
+++ /dev/null
@@ -1,2 +0,0 @@
-#!/bin/bash
-gcloud container clusters delete dmriprep --zone=us-west1-a
diff --git a/kubernetes/delete_job.sh b/kubernetes/delete_job.sh
deleted file mode 100755
index 4c43b70e..00000000
--- a/kubernetes/delete_job.sh
+++ /dev/null
@@ -1,2 +0,0 @@
-#!/bin/bash
-kubectl delete -f run_dmriprep.yml
diff --git a/kubernetes/docker/build_tag_push.sh b/kubernetes/docker/build_tag_push.sh
deleted file mode 100755
index afaec546..00000000
--- a/kubernetes/docker/build_tag_push.sh
+++ /dev/null
@@ -1,4 +0,0 @@
-#!/bin/bash
-docker build -t dmriprep:kube4 -f dockerfile-dmriprep-kube .
-docker tag dmriprep:kube4 gcr.io/dmriprep/dmriprep:kube4
-docker push gcr.io/dmriprep/dmriprep:kube4
diff --git a/kubernetes/docker/dmriprep_all.sh b/kubernetes/docker/dmriprep_all.sh
deleted file mode 100755
index 3e0bfafa..00000000
--- a/kubernetes/docker/dmriprep_all.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/bin/bash
-mkdir inputs
-mkdir outputs
-dmriprep-data --subject $1 $PWD/inputs/
-dmriprep $PWD/inputs $PWD/outputs
-dmriprep-upload --access_key $2 --secret_key $3 $PWD/outputs preafq-hbn 
diff --git a/kubernetes/docker/dockerfile-dmriprep-kube b/kubernetes/docker/dockerfile-dmriprep-kube
deleted file mode 100644
index 77bd5d0c..00000000
--- a/kubernetes/docker/dockerfile-dmriprep-kube
+++ /dev/null
@@ -1,3 +0,0 @@
-FROM dmriprep:prod
-COPY dmriprep_all.sh /dmriprep_all.sh
-CMD ["/neurodocker/startup.sh", "dmriprep_all.sh"]
diff --git a/kubernetes/run_dmriprep.yml.tmpl b/kubernetes/run_dmriprep.yml.tmpl
deleted file mode 100644
index 2bd01876..00000000
--- a/kubernetes/run_dmriprep.yml.tmpl
+++ /dev/null
@@ -1,17 +0,0 @@
-apiVersion: batch/v1
-kind: Job
-metadata:
-  name: dmriprep-{{subject_lower}}
-spec:
-  template:
-    spec:
-      containers:
-      - name: dmriprep-subject
-        image: gcr.io/dmriprep/dmriprep:kube4
-        command: ["/neurodocker/startup.sh", "./dmriprep_all.sh",  "{{subject}}", "{{access_key}}", "{{secret_key}}"]
-        resources:
-          requests:
-            memory: "12G"
-            cpu: "2"
-      restartPolicy: Never
-  backoffLimit: 1
diff --git a/kubernetes/run_job.sh b/kubernetes/run_job.sh
deleted file mode 100755
index d87e4302..00000000
--- a/kubernetes/run_job.sh
+++ /dev/null
@@ -1,2 +0,0 @@
-#!/bin/bash
-kubectl apply -f run_dmriprep.yml
diff --git a/kubernetes/setup_gcp_kubernetes_dmriprep.sh b/kubernetes/setup_gcp_kubernetes_dmriprep.sh
deleted file mode 100755
index d80c89fa..00000000
--- a/kubernetes/setup_gcp_kubernetes_dmriprep.sh
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/bin/bash
-
-# login
-gcloud auth login anishakeshavan@gmail.com
-
-# set the project to dmriprep
-gcloud config set project dmriprep
-
-# some variables
-ZONE=us-west1-a
-MAX_NODES=4
-CLUSTERNAME=dmriprep
-
-# set the default compute zone
-gcloud config set compute/zone $ZONE
-
-# start the cluster!
-gcloud beta container clusters create $CLUSTERNAME --machine-type n1-highmem-4 --enable-autoscaling --max-nodes=$MAX_NODES --num-nodes 1 --cluster-version latest --node-labels dmriprep/node-purpose=core
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 00000000..b4c8b1ad
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,22 @@
+[tool.black]
+line-length = 79
+target-version = ['py36', 'py37', 'py38']
+include = '\.pyi?$'
+exclude = '''
+/(
+    \.eggs
+  | \.git
+  | \.hg
+  | \.mypy_cache
+  | \.tox
+  | \.venv
+  | _build
+  | buck-out
+  | build
+  | dist
+  # The following are specific to Black, you probably don't want those.
+  | blib2to3
+  | tests/data
+  | profiling
+)/
+'''
diff --git a/tox.ini b/tox.ini
index b4e7bf75..2bb783a1 100644
--- a/tox.ini
+++ b/tox.ini
@@ -16,13 +16,5 @@ commands = flake8 dmriprep
 [testenv]
 setenv =
     PYTHONPATH = {toxinidir}
-deps =
-    -r{toxinidir}/requirements_dev.txt
-; If you want to make tox run the tests with the same versions, create a
-; requirements.txt with the pinned versions and uncomment the following line:
-;     -r{toxinidir}/requirements.txt
-commands =
-    pip install -U pip
-    py.test --basetemp={envtmpdir}
-
 
+commands = python setup.py test

From 998ee5eb9f2b828e6df5a33803118c04fb78be54 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 15:10:41 -0400
Subject: [PATCH 040/156] update precommit framework

---
 .flake8                 | 7 ++++---
 .pre-commit-config.yaml | 4 ++++
 pyproject.toml          | 4 ----
 requirements_dev.txt    | 1 +
 4 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/.flake8 b/.flake8
index 9f731ead..d9ad0b40 100644
--- a/.flake8
+++ b/.flake8
@@ -1,4 +1,5 @@
 [flake8]
-max-line-length = 80
-select = C,E,F,W,B,B950
-ignore = E501,N802,N806,W503,E203
+ignore = E203, E266, E501, W503, F403, F401
+max-line-length = 79
+max-complexity = 18
+select = B,C,E,F,W,T4,B9
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 799985da..17bddd8a 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -4,3 +4,7 @@ repos:
     hooks:
     - id: black
       language_version: python3.6
+-   repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v2.2.3
+    hooks:
+    - id: flake8
diff --git a/pyproject.toml b/pyproject.toml
index b4c8b1ad..3dbb3802 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,9 +14,5 @@ exclude = '''
   | buck-out
   | build
   | dist
-  # The following are specific to Black, you probably don't want those.
-  | blib2to3
-  | tests/data
-  | profiling
 )/
 '''
diff --git a/requirements_dev.txt b/requirements_dev.txt
index 17e71717..e043d23c 100644
--- a/requirements_dev.txt
+++ b/requirements_dev.txt
@@ -9,6 +9,7 @@ Sphinx==2.1.1
 twine==1.13.0
 black==19.3b0
 versioneer==0.18
+pre-commit==1.17.0
 
 pytest==4.6.3
 pytest-runner==5.1

From 25c493947fe7d443305fac9d9438c740802b50e9 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Mon, 8 Jul 2019 15:27:58 -0400
Subject: [PATCH 041/156] Added optional total_readout_time parameter

---
 dmriprep/cli.py                | 11 ++++++++++-
 dmriprep/workflows/base.py     | 15 +++++++++++----
 dmriprep/workflows/dwi/base.py | 17 +++++++++++++----
 3 files changed, 34 insertions(+), 9 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 75f6b3fa..5d065b50 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -65,6 +65,14 @@
     "be used.",
     default=0.3,
 )
+@click.option(
+    "--total-readout",
+    help="Manual option for what value will be used in acquired params step. "
+    "If this parameter is not provided the value will be taken from the "
+    "TotalReadoutTime field in the dwi json. ",
+    default=None,
+    type=(float),
+)
 @click.argument("bids_dir")
 @click.argument("output_dir")
 @click.argument(
@@ -78,6 +86,7 @@ def main(
     bet_dwi=0.3,
     bet_mag=0.3,
     slice_outlier_threshold=0.02,
+    total_readout=None,
     analysis_level="participant",
 ):
     """
@@ -106,7 +115,7 @@ def main(
 
     work_dir = os.path.join(output_dir, "scratch")
     wf = init_dmriprep_wf(
-        layout, subject_list, work_dir, output_dir, bet_dwi, bet_mag
+        layout, subject_list, work_dir, output_dir, bet_dwi, bet_mag, total_readout
     )
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index f787b046..42d0a1e1 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -7,7 +7,10 @@
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
-def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bet_dwi, bet_mag):
+def init_dmriprep_wf(
+    layout, subject_list, work_dir, output_dir,
+    bet_dwi, bet_mag, total_readout
+):
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = work_dir
 
@@ -20,7 +23,8 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bet_dwi, bet_ma
             work_dir=work_dir,
             output_dir=output_dir,
             bet_dwi=bet_dwi,
-            bet_mag=bet_mag
+            bet_mag=bet_mag,
+            total_readout=total_readout,
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
@@ -35,7 +39,10 @@ def init_dmriprep_wf(layout, subject_list, work_dir, output_dir, bet_dwi, bet_ma
     return dmriprep_wf
 
 
-def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir, bet_dwi, bet_mag):
+def init_single_subject_wf(
+    layout, subject_id, name, work_dir, output_dir,
+    bet_dwi, bet_mag, total_readout
+):
 
     dwi_files = layout.get(
         subject=subject_id,
@@ -59,7 +66,7 @@ def init_single_subject_wf(layout, subject_id, name, work_dir, output_dir, bet_d
         metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
             subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout,
-            bet_dwi_frac=bet_dwi, bet_mag_frac=bet_mag
+            bet_dwi_frac=bet_dwi, bet_mag_frac=bet_mag, total_readout=total_readout
         )
         datasink_wf = init_output_wf(
             subject_id=subject_id, session_id=session_id, output_folder=output_dir
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 63f66342..0bfc9fca 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,7 +1,10 @@
 #!/usr/bin/env python
 
 
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bet_dwi_frac, bet_mag_frac):
+def init_dwi_preproc_wf(
+    subject_id, dwi_file, metadata, layout,
+    bet_dwi_frac, bet_mag_frac, total_readout
+):
     from nipype.pipeline import engine as pe
     from nipype.interfaces import fsl, utility as niu
 
@@ -72,7 +75,7 @@ def gen_index(in_file):
         name="gen_index",
     )
 
-    def gen_acqparams(in_file, metadata):
+    def gen_acqparams(in_file, metadata, total_readout_time):
         import os.path as op
         from nipype.utils.filemanip import fname_presuffix
 
@@ -90,7 +93,11 @@ def gen_acqparams(in_file, metadata):
         }
 
         pe_dir = metadata.get("PhaseEncodingDirection")
-        total_readout = metadata.get("TotalReadoutTime")
+        
+        if total_readout_time:
+            total_readout = total_readout_time
+        else:
+            total_readout = metadata.get("TotalReadoutTime")
 
         acq_param_lines = acq_param_dict[pe_dir] % total_readout
 
@@ -101,13 +108,15 @@ def gen_acqparams(in_file, metadata):
 
     acqp = pe.Node(
         niu.Function(
-            input_names=["in_file", "metadata"],
+            input_names=["in_file", "metadata", "total_readout_time"],
             output_names=["out_file"],
             function=gen_acqparams,
         ),
         name="acqp",
     )
 
+    acqp.inputs.total_readout_time = total_readout
+
     def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         """
         A function that averages the *b0* volumes from a DWI dataset.

From 2e96c78270d0c0ccd4393deee0377fa1909a7e63 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 15:34:47 -0400
Subject: [PATCH 042/156] add upsample spec

---
 dmriprep/interfaces/{mrtrix.py => mrtrix3.py} |  94 +++++++++++++++-
 dmriprep/workflows/dwi/base.py                | 101 +++++++++++-------
 2 files changed, 151 insertions(+), 44 deletions(-)
 rename dmriprep/interfaces/{mrtrix.py => mrtrix3.py} (66%)

diff --git a/dmriprep/interfaces/mrtrix.py b/dmriprep/interfaces/mrtrix3.py
similarity index 66%
rename from dmriprep/interfaces/mrtrix.py
rename to dmriprep/interfaces/mrtrix3.py
index 9dc585c1..c1f55613 100644
--- a/dmriprep/interfaces/mrtrix.py
+++ b/dmriprep/interfaces/mrtrix3.py
@@ -1,6 +1,11 @@
 #!/usr/bin/env python
 
-from __future__ import print_function, division, unicode_literals, absolute_import
+from __future__ import (
+    print_function,
+    division,
+    unicode_literals,
+    absolute_import,
+)
 
 from nipype.interfaces.base import traits, TraitedSpec, File
 from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base
@@ -8,7 +13,11 @@
 
 class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):
     in_file = File(
-        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+        exists=True,
+        argstr="%s",
+        position=-2,
+        mandatory=True,
+        desc="input DWI image",
     )
     mask = File(exists=True, argstr="-mask %s", position=1, desc="mask image")
     extent = traits.Tuple(
@@ -70,7 +79,11 @@ class DWIDenoise(MRTrix3Base):
 
 class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):
     in_file = File(
-        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+        exists=True,
+        argstr="%s",
+        position=-2,
+        mandatory=True,
+        desc="input DWI image",
     )
     axes = traits.ListInt(
         default_value=[0, 1],
@@ -150,3 +163,78 @@ class MRDeGibbs(MRTrix3Base):
     _cmd = "mrdegibbs"
     input_spec = MRDeGibbsInputSpec
     output_spec = MRDeGibbsOutputSpec
+
+
+class MRResizeInputSpec(MRTrix3BaseInputSpec):
+    in_file = File(
+        exists=True,
+        argstr="%s",
+        position=-2,
+        mandatory=True,
+        desc="input DWI image",
+    )
+    size = traits.List(
+        traits.Int(),
+        argstr="-size %s",
+        desc="define the new image size for the output image. This should be "
+        "specified as a comma-separated list.",
+    )
+    voxel_size = traits.List(
+        traits.Float(),
+        argstr="-voxel %s",
+        desc="define the new voxel size for the output image. This can be "
+        "specified either as a single value to be used for all "
+        "dimensions, or as a comma-separated list of the size for each "
+        "voxel dimension.",
+    )
+    scale = traits.Float(
+        argstr="-scale %s",
+        desc="scale the image resolution by the supplied factor. This can be "
+        "specified either as a single value to be used for all "
+        "dimensions, or as a comma-separated list of scale factors for "
+        "each dimension.",
+    )
+    interp = traits.Enum(
+        "nearest",
+        "linear",
+        "cubic",
+        "sinc",
+        default="cubic",
+        argstr="-interp %s",
+        desc="set the interpolation method to use when resizing (choices: "
+        "nearest, linear, cubic, sinc. Default: cubic).",
+    )
+
+    out_file = File(
+        argstr="%s",
+        name_template="%s_resized",
+        name_source=["in_file"],
+        keep_extension=True,
+        position=-1,
+        desc="the output resized DWI image",
+    )
+
+
+class MRResizeOutputSpec(TraitedSpec):
+    out_file = File(desc="the output resized DWI image", exists=True)
+
+
+class MRResize(MRTrix3Base):
+    """
+    Resize an image by defining the new image resolution, voxel size or a scale factor
+    For more information, see
+    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrresize.html>
+    Example
+    -------
+    >>> import nipype.interfaces.mrtrix3 as mrt
+    >>> resize = mrt.MRResize()
+    >>> resize.inputs.in_file = 'dwi.mif'
+    >>> denoise.inputs.mask = 'mask.mif'
+    >>> denoise.cmdline                               # doctest: +ELLIPSIS
+    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'
+    >>> denoise.run()                                 # doctest: +SKIP
+    """
+
+    _cmd = "mrresize"
+    input_spec = MRResizeInputSpec
+    output_spec = MRResizeOutputSpec
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 63f66342..a6a8fc96 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,12 +1,24 @@
 #!/usr/bin/env python
 
+import os
+import multiprocessing
 
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bet_dwi_frac, bet_mag_frac):
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import fsl, utility as niu
+import numpy as np
+import nibabel as nib
+from nipype.pipeline import engine as pe
+from nipype.interfaces import fsl, utility as niu
+from nipype.utils import NUMPY_MMAP
+from nipype.utils.filemanip import fname_presuffix
+from dipy.segment.mask import median_otsu
+from numba import cuda
 
-    from ...interfaces import mrtrix
-    from ..fieldmap.base import init_sdc_prep_wf
+from ...interfaces import mrtrix3
+from ..fieldmap.base import init_sdc_prep_wf
+
+
+def init_dwi_preproc_wf(
+    subject_id, dwi_file, metadata, layout, bet_dwi_frac, bet_mag_frac
+):
 
     fmaps = []
     fmaps = layout.get_fieldmap(dwi_file, return_list=True)
@@ -18,7 +30,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bet_dwi_frac, be
         )
 
     for fmap in fmaps:
-        fmap["metadata"] = layout.get_metadata(fmap["suffix"])
+        fmap["metadata"] = layout.get_metadata(fmap[fmap["suffix"]])
 
     sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac)
 
@@ -45,21 +57,21 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, layout, bet_dwi_frac, be
         name="outputnode",
     )
 
-    denoise = pe.Node(mrtrix.DWIDenoise(), name="denoise")
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
 
-    unring = pe.Node(mrtrix.MRDeGibbs(), name="unring")
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    resize = pe.Node(mrtrix3.MRResize(), name="resize")
 
     def gen_index(in_file):
-        import os.path as op
-        import numpy as np
-        import nibabel as nb
-        from nipype.utils import NUMPY_MMAP
-        from nipype.utils.filemanip import fname_presuffix
 
         out_file = fname_presuffix(
-            in_file, suffix="_index.txt", newpath=op.abspath("."), use_ext=False
+            in_file,
+            suffix="_index.txt",
+            newpath=os.path.abspath("."),
+            use_ext=False,
         )
-        vols = nb.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
+        vols = nib.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
         index_lines = np.ones((vols,))
         index_lines_reshape = index_lines.reshape(1, index_lines.shape[0])
         np.savetxt(out_file, index_lines_reshape, fmt="%i")
@@ -67,17 +79,20 @@ def gen_index(in_file):
 
     gen_idx = pe.Node(
         niu.Function(
-            input_names=["in_file"], output_names=["out_file"], function=gen_index
+            input_names=["in_file"],
+            output_names=["out_file"],
+            function=gen_index,
         ),
         name="gen_index",
     )
 
     def gen_acqparams(in_file, metadata):
-        import os.path as op
-        from nipype.utils.filemanip import fname_presuffix
 
         out_file = fname_presuffix(
-            in_file, suffix="_acqparams.txt", newpath=op.abspath("."), use_ext=False
+            in_file,
+            suffix="_acqparams.txt",
+            newpath=os.path.abspath("."),
+            use_ext=False,
         )
 
         acq_param_dict = {
@@ -116,18 +131,13 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         .. warning:: *b0* should be already registered (head motion artifact
         should be corrected).
         """
-        import numpy as np
-        import nibabel as nb
-        import os.path as op
-        from nipype.utils import NUMPY_MMAP
-        from nipype.utils.filemanip import fname_presuffix
 
         if out_file is None:
             out_file = fname_presuffix(
-                in_dwi, suffix="_avg_b0", newpath=op.abspath(".")
+                in_dwi, suffix="_avg_b0", newpath=os.path.abspath(".")
             )
 
-        imgs = np.array(nb.four_to_three(nb.load(in_dwi, mmap=NUMPY_MMAP)))
+        imgs = np.array(nib.four_to_three(nib.load(in_dwi, mmap=NUMPY_MMAP)))
         bval = np.loadtxt(in_bval)
         index = np.argwhere(bval <= b0_thresh).flatten().tolist()
 
@@ -138,7 +148,7 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         hdr.set_data_shape(b0.shape)
         hdr.set_xyzt_units("mm")
         hdr.set_data_dtype(np.float32)
-        nb.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
+        nib.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
         return out_file
 
     avg_b0_0 = pe.Node(
@@ -151,7 +161,9 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     )
 
     # dilate mask
-    bet_dwi0 = pe.Node(fsl.BET(frac=bet_dwi_frac, mask=True, robust=True), name="bet_dwi_pre")
+    bet_dwi0 = pe.Node(
+        fsl.BET(frac=bet_dwi_frac, mask=True, robust=True), name="bet_dwi_pre"
+    )
 
     # mrtrix3.MaskFilter
 
@@ -160,19 +172,16 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         name="fsl_eddy",
     )
 
-    import multiprocessing
-
+    # if nthreads not specified, do this
     ecc.inputs.num_threads = multiprocessing.cpu_count()
 
-    from numba import cuda
-
     try:
         if cuda.gpus:
             ecc.inputs.use_cuda = True
     except:
         ecc.inputs.use_cuda = False
 
-    denoise_eddy = pe.Node(mrtrix.DWIDenoise(), name="denoise_eddy")
+    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name="denoise_eddy")
 
     eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
 
@@ -182,10 +191,6 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
 
     def get_b0_mask_fn(b0_file):
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        from dipy.segment.mask import median_otsu
-        import os
 
         mask_file = fname_presuffix(
             b0_file, suffix="_mask", newpath=os.path.abspath(".")
@@ -198,7 +203,9 @@ def get_b0_mask_fn(b0_file):
 
     b0mask_node = pe.Node(
         niu.Function(
-            input_names=["b0_file"], output_names=["mask_file"], function=get_b0_mask_fn
+            input_names=["b0_file"],
+            output_names=["mask_file"],
+            function=get_b0_mask_fn,
         ),
         name="getB0Mask",
     )
@@ -213,9 +220,17 @@ def get_b0_mask_fn(b0_file):
             (unring, avg_b0_0, [("out_file", "in_dwi")]),
             (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
             (inputnode, gen_idx, [("dwi_file", "in_file")]),
-            (inputnode, acqp, [("dwi_file", "in_file"), ("metadata", "metadata")]),
+            (
+                inputnode,
+                acqp,
+                [("dwi_file", "in_file"), ("metadata", "metadata")],
+            ),
             (unring, ecc, [("out_file", "in_file")]),
-            (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
+            (
+                inputnode,
+                ecc,
+                [("bval_file", "in_bval"), ("bvec_file", "in_bvec")],
+            ),
             (bet_dwi0, ecc, [("mask_file", "in_mask")]),
             (gen_idx, ecc, [("out_file", "in_index")]),
             (acqp, ecc, [("out_file", "in_acqp")]),
@@ -241,7 +256,11 @@ def get_b0_mask_fn(b0_file):
             (bet_dwi0, sdc_wf, [("out_file", "inputnode.b0_stripped")]),
             (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
             (sdc_wf, eddy_quad, [("outputnode.out_fmap", "field")]),
-            (ecc, dtifit, [("out_corrected", "dwi"), ("out_rotated_bvecs", "bvecs")]),
+            (
+                ecc,
+                dtifit,
+                [("out_corrected", "dwi"), ("out_rotated_bvecs", "bvecs")],
+            ),
             (b0mask_node, dtifit, [("mask_file", "mask")]),
             (inputnode, dtifit, [("bval_file", "bvals")]),
         ]

From aad6f1bb370ae8ada2b9cfe8a7db194292e64639 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Mon, 8 Jul 2019 15:53:57 -0400
Subject: [PATCH 043/156] Removed outdated docker setup step

---
 setup.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/setup.py b/setup.py
index 54452b5b..58974637 100644
--- a/setup.py
+++ b/setup.py
@@ -51,7 +51,6 @@
             "dmriprep-upload=dmriprep.cli:upload",
         ]
     },
-    scripts=["./dmriprep-docker"],
     install_requires=requirements,
     extras_require=extras_require,
     license="BSD license",

From 087676fa23023c48058c4cf0ace1e4e24d42498d Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 16:17:17 -0400
Subject: [PATCH 044/156] remove subject data download and eddy outlier
 threshold

---
 dmriprep/__init__.py           |    5 +-
 dmriprep/cli.py                |  119 +---
 dmriprep/data.py               | 1125 --------------------------------
 dmriprep/workflows/dwi/base.py |    1 -
 4 files changed, 13 insertions(+), 1237 deletions(-)
 delete mode 100644 dmriprep/data.py

diff --git a/dmriprep/__init__.py b/dmriprep/__init__.py
index d69154a1..d7678e1e 100644
--- a/dmriprep/__init__.py
+++ b/dmriprep/__init__.py
@@ -16,7 +16,6 @@
 warnings.filterwarnings("ignore", message="numpy.dtype size changed")
 warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
 
-from . import data
 from . import qc
 
 module_logger = logging.getLogger(__name__)
@@ -46,7 +45,9 @@
 handler.setLevel(logging.DEBUG)
 
 # create a logging format
-formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+formatter = logging.Formatter(
+    "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
 handler.setFormatter(formatter)
 
 # add the handlers to the logger
diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 5d065b50..338dd4bb 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -9,7 +9,6 @@
 import click
 
 from . import utils
-from .data import get_dataset
 from .workflows.base import init_dmriprep_wf
 
 # Filter warnings that are visible whenever you import another package that
@@ -37,16 +36,6 @@
     default=5,
     type=(int),
 )
-@click.option(
-    "--slice-outlier-threshold",
-    help="Number of allowed outlier slices per volume. "
-    "If this is exceeded the volume is dropped from analysis. "
-    "If an int is provided, it is treated as number of allowed "
-    "outlier slices. If a float between 0 and 1 "
-    "(exclusive) is provided, it is treated the fraction of "
-    "allowed outlier slices.",
-    default=0.02,
-)
 @click.option(
     "--bet-dwi",
     help="Fractional intensity threshold for BET on the DWI. "
@@ -76,7 +65,9 @@
 @click.argument("bids_dir")
 @click.argument("output_dir")
 @click.argument(
-    "analysis_level", type=click.Choice(["participant", "group"]), default="participant"
+    "analysis_level",
+    type=click.Choice(["participant", "group"]),
+    default="participant",
 )
 def main(
     participant_label,
@@ -85,7 +76,6 @@ def main(
     eddy_niter=5,
     bet_dwi=0.3,
     bet_mag=0.3,
-    slice_outlier_threshold=0.02,
     total_readout=None,
     analysis_level="participant",
 ):
@@ -115,7 +105,13 @@ def main(
 
     work_dir = os.path.join(output_dir, "scratch")
     wf = init_dmriprep_wf(
-        layout, subject_list, work_dir, output_dir, bet_dwi, bet_mag, total_readout
+        layout,
+        subject_list,
+        work_dir,
+        output_dir,
+        bet_dwi,
+        bet_mag,
+        total_readout,
     )
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
@@ -125,100 +121,5 @@ def main(
     return 0
 
 
-@click.command()
-@click.argument("output_dir")
-@click.option(
-    "--subject",
-    help="subject id to download (will choose 1 subject if not specified",
-    default="sub-NDARBA507GCT",
-)
-@click.option(
-    "--study",
-    help="which study to download. Right now we only support the HBN dataset",
-    default="HBN",
-)
-def data(output_dir, study="HBN", subject="sub-NDARBA507GCT"):
-    """
-    Download dwi raw data in BIDS format from public datasets
-
-    :param output_dir: A directory to write files to
-    :param study: A study name, right now we only support 'HBN'
-    :param subject: A subject from the study, starting with 'sub-'
-    :return: None
-    """
-    if not os.path.exists(output_dir):
-        os.makedirs(output_dir)
-
-    if study.upper() != "HBN":
-        raise NotImplementedError(
-            "We only support data downloads from the HBN dataset right now."
-        )
-
-    get_dataset(os.path.abspath(output_dir), source=study.upper(), subject_id=subject)
-    print("done")
-
-
-@click.command()
-@click.argument("output_dir")
-@click.argument("bucket")
-@click.option("--access_key", help="your AWS access key")
-@click.option("--secret_key", help="your AWS access secret")
-@click.option(
-    "--provider",
-    default="s3",
-    help="Cloud storage provider. Only S3 is supported right now.",
-)
-@click.option("--subject", default=None, help="Subject id to upload (optional)")
-def upload(output_dir, bucket, access_key, secret_key, provider="s3", subject=None):
-    """
-    OUTPUT_DIR: The directory where the output files were stored.
-
-    BUCKET: The cloud bucket name to upload data to.
-    """
-    import boto3
-    from dask import compute, delayed
-    from glob import glob
-    from tqdm.auto import tqdm
-
-    output_dir = os.path.abspath(output_dir)
-    if not output_dir.endswith("/"):
-        output_dir += "/"
-
-    if provider == "s3" or provider == "S3":
-        client = boto3.client(
-            "s3", aws_access_key_id=access_key, aws_secret_access_key=secret_key
-        )
-
-        if subject is not None:
-            assert os.path.exists(
-                os.path.join(output_dir, subject)
-            ), "this subject id does not exist!"
-            subjects = [subject]
-        else:
-            subjects = [
-                os.path.split(s)[1] for s in glob(os.path.join(output_dir, "sub-*"))
-            ]
-
-        def upload_subject(sub, sub_idx):
-            base_dir = os.path.join(output_dir, sub, "dmriprep")
-            for root, dirs, files in os.walk(base_dir):
-                if len(files):
-                    for f in tqdm(
-                        files,
-                        desc=f"Uploading {sub} {root.split('/')[-1]}",
-                        position=sub_idx,
-                    ):
-                        filepath = os.path.join(root, f)
-                        key = root.replace(output_dir, "")
-                        client.upload_file(filepath, bucket, os.path.join(key, f))
-
-        uploads = [delayed(upload_subject)(s, idx) for idx, s in enumerate(subjects)]
-        _ = list(compute(*uploads, scheduler="threads"))
-    else:
-        raise NotImplementedError(
-            "Only S3 is the only supported provider for data uploads at the moment"
-        )
-
-
 if __name__ == "__main__":
     sys.exit(main())  # pragma: no cover
diff --git a/dmriprep/data.py b/dmriprep/data.py
deleted file mode 100644
index 15b4366e..00000000
--- a/dmriprep/data.py
+++ /dev/null
@@ -1,1125 +0,0 @@
-"""
-Functions to download example data from public repositories.
-
-"""
-import copy
-import json
-import logging
-import os
-import os.path as op
-import re
-import subprocess
-from pathlib import Path
-
-import pandas as pd
-from dask import compute, delayed
-from dask.diagnostics import ProgressBar
-from tqdm.auto import tqdm
-
-
-mod_logger = logging.getLogger(__name__)
-
-
-def get_dataset(output_dir, source="HBN", subject_id="sub-NDARBA507GCT"):
-    if source in ["HBN"]:
-        get_hbn_data(output_dir, subject_id)
-    else:
-        raise ValueError("Invalid dataset source")
-
-
-def get_hbn_data(output_dir, subject_id):
-    hbn_study = HBN(subjects=subject_id)
-    subject = hbn_study.subjects[0]
-    subject.download(directory=output_dir)
-    # TODO: return a dict of subject ids and folder locations.
-    return os.path.join(output_dir, subject_id)
-
-
-def get_s3_client():
-    """Return a boto3 s3 client
-
-    Returns
-    -------
-    s3_client : boto3.client('s3')
-    """
-    import boto3
-    from botocore import UNSIGNED
-    from botocore.client import Config
-
-    # Global s3 client to preserve anonymous config
-    s3_client = boto3.client("s3", config=Config(signature_version=UNSIGNED))
-    return s3_client
-
-
-def _get_matching_s3_keys(bucket, prefix="", suffix=""):
-    """Generate all the matching keys in an S3 bucket.
-
-    Parameters
-    ----------
-    bucket : str
-        Name of the S3 bucket
-
-    prefix : str, optional
-        Only fetch keys that start with this prefix
-
-    suffix : str, optional
-        Only fetch keys that end with this suffix
-
-    Yields
-    ------
-    key : str
-        S3 keys that match the prefix and suffix
-    """
-    s3 = get_s3_client()
-    kwargs = {"Bucket": bucket, "MaxKeys": 1000}
-
-    # If the prefix is a single string (not a tuple of strings), we can
-    # do the filtering directly in the S3 API.
-    if isinstance(prefix, str):
-        kwargs["Prefix"] = prefix
-
-    while True:
-        # The S3 API response is a large blob of metadata.
-        # 'Contents' contains information about the listed objects.
-        resp = s3.list_objects_v2(**kwargs)
-
-        try:
-            contents = resp["Contents"]
-        except KeyError:
-            return
-
-        for obj in contents:
-            key = obj["Key"]
-            if key.startswith(prefix) and key.endswith(suffix):
-                yield key
-
-        # The S3 API is paginated, returning up to 1000 keys at a time.
-        # Pass the continuation token into the next response, until we
-        # reach the final page (when this field is missing).
-        try:
-            kwargs["ContinuationToken"] = resp["NextContinuationToken"]
-        except KeyError:
-            break
-
-
-def _download_from_s3(fname, bucket, key, overwrite=False):
-    """Download object from S3 to local file
-
-    Parameters
-    ----------
-    fname : str
-        File path to which to download the object
-
-    bucket : str
-        S3 bucket name
-
-    key : str
-        S3 key for the object to download
-
-    overwrite : bool, default=False
-        If True, overwrite file if it already exists.
-        If False, skip download and return
-    """
-    # Create the directory and file if necessary
-    s3 = get_s3_client()
-    Path(op.dirname(fname)).mkdir(parents=True, exist_ok=True)
-    try:
-        Path(fname).touch(exist_ok=overwrite)
-
-        # Download the file
-        s3.download_file(Bucket=bucket, Key=key, Filename=fname)
-    except FileExistsError:
-        mod_logger.info(f"File {fname} already exists. Continuing...")
-        pass
-
-
-def _recursive_split_ext(path):
-    """Recursively split pathname `path` into components.
-
-    Parameters
-    ----------
-    path : path-like object
-
-    Returns
-    -------
-    tuple :
-        tuple of path parts. All parts except the first have a beginning
-        period.
-
-    """
-    p0, p1 = op.splitext(path)
-    if p1:
-        return _recursive_split_ext(p0) + (p1,)
-    else:
-        return (p0,)
-
-
-def _cumulative_paths(path_parts, add_ext=""):
-    """Return all possible cumulative path names from a list of path parts
-
-    For example, if `path_parts` = ["a", ".b", ".c", ".d"],
-    this function will return ["a", "a.b", "a.b.c", "a.b.c.d"]
-
-    Parameters
-    ----------
-    path_parts: sequence of strings
-        The sequence of path substrings. All elements except the first must
-        begin with a period.
-
-    add_ext: str
-        If provided, add this extension to each element of the result
-
-    Returns
-    -------
-    list :
-        List of cumulative path names
-    """
-    try:
-        add_ext = add_ext if add_ext[0] == "." else "." + add_ext
-    except IndexError:
-        pass
-
-    return ["".join(path_parts[: i + 1]) + add_ext for i in range(len(path_parts))]
-
-
-class Study:
-    """A dMRI based study with a BIDS compliant directory structure"""
-
-    def __init__(self, study_id, bucket, s3_prefix, subjects=None):
-        """Initialize a Study instance
-
-        Parameters
-        ----------
-        study_id : str
-            An identifier string for the study
-
-        bucket : str
-            The S3 bucket that contains the study data
-
-        s3_prefix : str
-            The S3 prefix common to all of the study objects on S3
-
-        subjects : str, sequence(str), int, or None
-            If int, retrieve S3 keys for the first `subjects` subjects.
-            If "all", retrieve all subjects.
-            If str or sequence of strings, retrieve S3 keys for the specified
-            subjects. If None, retrieve S3 keys for the first subject.
-        """
-        if not isinstance(study_id, str):
-            raise TypeError("subject_id must be a string.")
-
-        if not isinstance(bucket, str):
-            raise TypeError("bucket must be a string.")
-
-        if not isinstance(s3_prefix, str):
-            raise TypeError("s3_prefix must be a string.")
-
-        if not (
-            subjects is None
-            or isinstance(subjects, int)
-            or isinstance(subjects, str)
-            or all(isinstance(s, str) for s in subjects)
-        ):
-            raise TypeError(
-                "subjects must be an int, string or a " "sequence of strings."
-            )
-
-        if isinstance(subjects, int) and subjects < 1:
-            raise ValueError("If subjects is an int, it must be " "greater than 0.")
-
-        self._study_id = study_id
-        self._bucket = bucket
-        self._s3_prefix = s3_prefix
-
-        self._all_subjects = self.list_all_subjects()
-        if subjects is None or subjects == 1:
-            enter_validation_loop = True
-            subjects = [sorted(self._all_subjects.keys())[0]]
-            self._n_requested = 1
-        elif isinstance(subjects, int) and subjects > 1:
-            enter_validation_loop = True
-            self._n_requested = subjects
-            subjects = sorted(self._all_subjects.keys())[:subjects]
-        elif subjects == "all":
-            enter_validation_loop = False
-            self._n_requested = len(self._all_subjects)
-            subjects = list(self._all_subjects.keys())
-        elif isinstance(subjects, str):
-            enter_validation_loop = False
-            self._n_requested = 1
-            subjects = [subjects]
-        else:
-            enter_validation_loop = False
-            self._n_requested = len(subjects)
-
-        if not set(subjects) <= set(self._all_subjects.keys()):
-            raise ValueError(
-                f"The following subjects could not be found in the study: "
-                f"{set(subjects) - set(self._all_subjects.keys())}"
-            )
-
-        subs = [delayed(self._get_subject)(s) for s in set(subjects)]
-
-        print("Retrieving subject S3 keys")
-        with ProgressBar():
-            subjects = list(compute(*subs, scheduler="threads"))
-
-        self._subjects = [s for s in subjects if s.valid]
-
-        if enter_validation_loop:
-            # index of first uninspected subject
-            idx_lo = self._n_requested
-            while len(self._subjects) < self._n_requested:
-                n_needed = self._n_requested - len(self._subjects)
-                if n_needed == 1:
-                    subjects = [sorted(self._all_subjects.keys())[idx_lo]]
-                else:
-                    subjects = sorted(self._all_subjects.keys())[
-                        idx_lo : idx_lo + n_needed
-                    ]
-
-                idx_lo += n_needed
-
-                subs = [delayed(self._get_subject)(s) for s in set(subjects)]
-
-                with ProgressBar():
-                    subjects = list(compute(*subs, scheduler="threads"))
-
-                self._subjects += [s for s in subjects if s.valid]
-
-            self._n_discarded = 0
-        else:
-            self._n_discarded = len([s for s in subjects if not s.valid])
-
-    @property
-    def study_id(self):
-        """An identifier string for the study"""
-        return self._study_id
-
-    @property
-    def bucket(self):
-        """The S3 bucket that contains the study data"""
-        return self._bucket
-
-    @property
-    def s3_prefix(self):
-        """The S3 prefix common to all of the study objects on S3"""
-        return self._s3_prefix
-
-    @property
-    def subjects(self):
-        """A list of Subject instances for each requested subject"""
-        return self._subjects
-
-    def __repr__(self):
-        return (
-            f"{type(self).__name__}(study_id={self.study_id}, "
-            f"bucket={self.bucket}, s3_prefix={self.s3_prefix})"
-        )
-
-    def _get_subject(self, subject_id):
-        """Return a Subject instance from a subject-ID"""
-        return Subject(
-            subject_id=subject_id, site=self._all_subjects[subject_id], study=self
-        )
-
-    def list_all_subjects(self):
-        """Return a study-specific list of subjects.
-
-        Returns
-        -------
-        dict
-            dict with participant_id as keys and site_id as values
-        """
-        raise NotImplementedError
-
-    def filter_keys(self, subject):
-        """Study-specific S3 key filtering
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        pass
-
-    def postprocess(self, subject):
-        """Study-specific postprocessing steps
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        pass
-
-    def download(self, directory, include_site=False, overwrite=False, pbar=True):
-        """Download files for each subject in the study
-
-        Parameters
-        ----------
-        directory : str
-            Directory to which to download subject files
-
-        include_site : bool, default=False
-            If True, include the site-ID in the download path
-
-        overwrite : bool, default=False
-            If True, overwrite files for each subject
-
-        pbar : bool, default=True
-            If True, include progress bar
-
-        See Also
-        --------
-        dmriprep.data.Subject.download()
-        """
-        results = [
-            delayed(sub.download)(
-                directory=directory,
-                include_site=include_site,
-                overwrite=overwrite,
-                pbar=pbar,
-                pbar_idx=idx,
-            )
-            for idx, sub in enumerate(self.subjects)
-        ]
-
-        compute(*results, scheduler="threads")
-
-
-class S3BidsStudy(Study):
-    """
-
-    """
-
-    def __init__(self, study_id, bucket, s3_prefix=None, subjects=None):
-        """
-        Initialize a study which is organized as BIDS compliant S3 bucket, or a
-        sub-path of this bucket.
-
-        Parameters
-        ----------
-        study_id : str An identifier string for the study
-
-        bucket : str The S3 bucket that contains the study data
-
-        s3_prefix : str, optional The S3 prefix common to all of the study
-            objects on S3. Defaults to the root of the bucket.
-
-        subjects : str, sequence(str), int, or None
-            If int, retrieve S3 keys for the first `subjects` subjects.
-            If str or sequence of strings, retrieve S3 keys for the specified
-            subjects. If None, retrieve S3 keys for the first subject. If 'all',
-            use all of the subjects in the study.
-        """
-        if s3_prefix is None:
-            s3_prefix = ""
-        super().__init__(
-            study_id=study_id, bucket=bucket, s3_prefix=s3_prefix, subjects=subjects
-        )
-
-    def list_all_subjects(self):
-        """
-        Find the identifiers of all subjects
-        """
-        # XXX Ariel will figure this out.
-
-
-class HBN(Study):
-    """The HBN study
-
-    See Also
-    --------
-    dmriprep.data.Study
-    """
-
-    def __init__(self, subjects=None):
-        """Initialize the HBN instance
-
-        Parameters
-        ----------
-        subjects : str, sequence(str), int, or None
-            If int, retrieve S3 keys for the first `subjects` subjects.
-            If str or sequence of strings, retrieve S3 keys for the specified
-            subjects. If None, retrieve S3 keys for the first subject.
-        """
-        super().__init__(
-            study_id="HBN",
-            bucket="fcp-indi",
-            s3_prefix="data/Projects/HBN/MRI",
-            subjects=subjects,
-        )
-
-    def list_all_subjects(self):
-        """Return dict of HBN subjects
-
-        Retrieve subjects from the participants.tsv files at each site
-
-        Returns
-        -------
-        dict
-            dict with participant_id as keys and site_id as values
-        """
-
-        def get_site_tsv_keys(site_id):
-            pre = "data/Projects/HBN/MRI/"
-            raw = pre + f"{site_id}/participants.tsv"
-            deriv = pre + f"{site_id}/derivatives/participants.tsv"
-            return {"raw": raw, "deriv": deriv}
-
-        sites = ["Site-CBIC", "Site-RU", "Site-SI"]
-        tsv_keys = {site: get_site_tsv_keys(site) for site in sites}
-
-        s3 = get_s3_client()
-
-        def get_subs_from_tsv_key(s3_key):
-            response = s3.get_object(Bucket=self.bucket, Key=s3_key)
-
-            return set(pd.read_csv(response.get("Body")).participant_id.values)
-
-        subjects = {}
-        for site, s3_keys in tsv_keys.items():
-            site_subs = {k: get_subs_from_tsv_key(v) for k, v in s3_keys.items()}
-            subjects[site] = site_subs["raw"] & site_subs["deriv"]
-
-        all_subjects = {}
-        for site, subs in subjects.items():
-            for s in subs:
-                all_subjects[s] = site
-
-        return all_subjects
-
-    def filter_keys(self, subject):
-        """Filter S3 keys based on HBN specific vagaries
-
-        HBN Site-CBIC has multiple anatomy folders due to
-        motion correction software at the scanner level.
-        If subject.site == "Site-CBIC" then choose only the
-        anatomy files in the T1W_VNavNorm files
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        if subject.site == "Site-CBIC":
-            t1w_keys = subject.s3_keys["t1w"]
-            freesurfer_keys = subject.s3_keys["freesurfer"]
-            correct_dir = "T1w_VNavNorm"
-
-            subject._s3_keys["t1w"] = list(filter(lambda x: correct_dir in x, t1w_keys))
-
-            subject._s3_keys["freesurfer"] = list(
-                filter(lambda x: correct_dir in x, freesurfer_keys)
-            )
-
-    def postprocess(self, subject):
-        """Move the T1 file back into the freesurfer directory.
-
-        This step is specific to the HBN dataset where the T1 files
-        are outside of the derivatives/sub-XXX/freesurfer directory,
-        due to defacing protocols.
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        for sess in subject.files.keys():
-            t1_file = subject.files[sess]["t1w"][0]
-            freesurfer_path = op.join(op.dirname(t1_file), "freesurfer")
-
-            convert_cmd = "mri_convert {in_:s} {out_:s}".format(
-                in_=t1_file, out_=op.join(freesurfer_path, "mri", "orig.mgz")
-            )
-
-            fnull = open(os.devnull, "w")
-            subprocess.call(convert_cmd.split(), stdout=fnull, stderr=subprocess.STDOUT)
-
-            # if the site is CBIC, then the freesurfer directory has an additional level.
-            # move that level up by 1 (e.g. removing the T1w_VNavNorm folder
-            if subject.site == "Site-CBIC":
-                newpath = freesurfer_path.replace("T1w_VNavNorm/", "")
-                move_cmd = "mv {oldpath} {newpath}".format(
-                    oldpath=freesurfer_path, newpath=newpath
-                )
-                fnull1 = open(os.devnull, "w")
-                subprocess.call(
-                    move_cmd.split(), stdout=fnull1, stderr=subprocess.STDOUT
-                )
-
-            # now check that the AP/PA files are named correctly
-            # eg it should look like "sub-{id}_dir-{dir}_acq-dwi_epi.nii.gz
-            # but sometimes it looks like sub-{id}_acq-dwi_run-01_epi.nii.gz
-            # which is silly. the direction should be in the filename.
-
-
-class Subject:
-    """A single dMRI study subject"""
-
-    def __init__(self, subject_id, study, site=None):
-        """Initialize a Subject instance
-
-        Parameters
-        ----------
-        subject_id : str
-            Subject-ID for this subject
-
-        study : dmriprep.data.Study
-            The Study for which this subject was a participant
-
-        site : str, optional
-            Site-ID for the site from which this subject's data was collected
-        """
-        if not isinstance(subject_id, str):
-            raise TypeError("subject_id must be a string.")
-
-        if not isinstance(study, Study):
-            raise TypeError("study must be an instance of Study.")
-
-        self._subject_id = subject_id
-        self._study = study
-        self._site = site
-        self._valid = False
-        self._organize_s3_keys()
-        if self.valid:
-            self.study.filter_keys(self)
-            self._s3_keys = self._determine_directions(self._s3_keys)
-            self._files = None
-
-    @property
-    def subject_id(self):
-        """An identifier string for the subject"""
-        return self._subject_id
-
-    @property
-    def study(self):
-        """The study in which this subject participated"""
-        return self._study
-
-    @property
-    def site(self):
-        """The site at which this subject was a participant"""
-        return self._site
-
-    @property
-    def valid(self):
-        """If True, this subject has all the required MRI files"""
-        return self._valid
-
-    @property
-    def s3_keys(self):
-        """S3 keys for this subject's dMRI data
-
-        The S3 keys are stored in a dict with following keys:
-        - "dwi": Nifti file for DWI image
-        - "bval": Bval file
-        - "bvec": Bvec file
-        - "epi_ap": Nifti EPI image (anterior to posterior)
-        - "epi_pa": Nifti EPI image (posterior to anterior)
-        - "freesurfer": Freesurfer structural files
-        - "t1w": T1W Nifti file
-        """
-        return self._s3_keys
-
-    @property
-    def files(self):
-        """Local files for this subject's dMRI data
-
-        Before the call to subject.download(), this is None.
-        Afterward, the files are stored in a dict with keys
-        for each imaging session. The value for each session
-        is itself a dict with the following keys:
-        - "dwi": Nifti file for DWI image
-        - "bval": Bval file
-        - "bvec": Bvec file
-        - "epi_ap": Nifti EPI image (anterior to posterior)
-        - "epi_pa": Nifti EPI image (posterior to anterior)
-        - "freesurfer": Freesurfer structural files
-        - "t1w": T1W Nifti file
-        """
-        return self._files
-
-    def __repr__(self):
-        return (
-            f"{type(self).__name__}(subject_id={self.subject_id}, "
-            f"study_id={self.study.study_id}, site={self.site}, "
-            f"valid={self.valid})"
-        )
-
-    def _list_s3_keys(self):
-        """Get all required S3 keys for this subject
-
-        Returns
-        -------
-        s3_keys : dict
-            S3 keys organized into "raw" and "deriv" lists
-        """
-        prefixes = {
-            "raw": "/".join([self.study.s3_prefix, self.site, self.subject_id]),
-            "deriv": "/".join(
-                [self.study.s3_prefix, self.site, "derivatives", self.subject_id]
-            ),
-        }
-
-        s3_keys = {
-            rd: list(_get_matching_s3_keys(bucket=self.study.bucket, prefix=prefix))
-            for rd, prefix in prefixes.items()
-        }
-
-        return s3_keys
-
-    def _organize_s3_keys(self):
-        """Organize S3 keys into a dict
-
-        The dict keys are "dwi," "bvec," "bval," "epi_nii," "epi_json,"
-        "freesurfer," "t1w" and the values are the associated S3 object keys
-        """
-        # Retrieve and unpack the s3_keys
-        s3_keys = self._list_s3_keys()
-        dwi_keys = [k for k in s3_keys["raw"] if "/dwi/" in k]
-        fmap_keys = [k for k in s3_keys["raw"] if "/fmap/" in k]
-        deriv_keys = s3_keys["deriv"]
-        all_json_keys = [k for k in s3_keys["raw"] if k.endswith(".json")]
-
-        # Get the dwi files, bvec files, and bval files
-        dwi = [f for f in dwi_keys if f.endswith(".nii.gz") and "TRACEW" not in f]
-        bvec = [f for f in dwi_keys if f.endswith(".bvec")]
-        bval = [f for f in dwi_keys if f.endswith(".bval")]
-        epi_nii = [f for f in fmap_keys if f.endswith("epi.nii.gz") and "fMRI" not in f]
-        epi_json = [f for f in fmap_keys if f.endswith("epi.json") and "fMRI" not in f]
-        t1w = [f for f in deriv_keys if f.endswith("/T1w.nii.gz")]
-        freesurfer = [f for f in deriv_keys if "/freesurfer/" in f]
-
-        json_keys = []
-        for file_list in [dwi, bvec, bval, epi_nii, t1w]:
-            for f in file_list:
-                potential_keys = _cumulative_paths(
-                    _recursive_split_ext(f), add_ext="json"
-                )
-                json_keys += [k for k in potential_keys if k in all_json_keys]
-
-        # Use truthiness of non-empty lists to verify that all
-        # of the required prereq files exist in `s3_keys`
-        # TODO: If some of the files are missing, look farther up in the directory
-        # TODO: structure to see if there are files we should inherit
-        if all([dwi, bval, bvec, epi_nii, epi_json, t1w, freesurfer]):
-            self._valid = True
-            self._s3_keys = dict(
-                dwi=dwi,
-                bvec=bvec,
-                bval=bval,
-                json=json_keys,
-                epi_nii=epi_nii,
-                epi_json=epi_json,
-                freesurfer=freesurfer,
-                t1w=t1w,
-            )
-        else:
-            self._valid = False
-            self._s3_keys = None
-
-    def download(
-        self, directory, include_site=False, overwrite=False, pbar=True, pbar_idx=0
-    ):
-        """Download files from S3
-
-        Parameters
-        ----------
-        directory : str
-            Directory to which to download subject files
-
-        include_site : bool, default=False
-            If True, include the site-ID in the download path
-
-        overwrite : bool, default=False
-            If True, overwrite files for each subject
-
-        pbar : bool, default=True
-            If True, include download progress bar
-
-        pbar_idx : int, default=0
-            Progress bar index for multithreaded progress bars
-        """
-        if not self.valid:
-            mod_logger.warning(
-                f"Subject {self.subject_id} is not a valid subject. "
-                f"Skipping download."
-            )
-            return
-
-        if include_site:
-            directory = op.join(directory, self.site)
-
-        files = {
-            k: [
-                op.abspath(op.join(directory, p.split("/" + self.site + "/")[-1]))
-                for p in v
-            ]
-            for k, v in self.s3_keys.items()
-        }
-
-        # Generate list of (key, file) tuples
-        key_file_pairs = []
-
-        for ftype in self.s3_keys.keys():
-            s3_keys = self.s3_keys[ftype]
-            if isinstance(s3_keys, str):
-                key_file_pairs.append((s3_keys, files[ftype]))
-            elif all(isinstance(x, str) for x in s3_keys):
-                for key, fname in zip(s3_keys, files[ftype]):
-                    key_file_pairs.append((key, fname))
-            else:
-                raise TypeError(
-                    f"This subject {self.subject_id} has {ftype} S3 keys that "
-                    f"are neither strings nor a sequence of strings. The "
-                    f"offending S3 keys are {s3_keys!s}"
-                )
-
-        try:
-            files_by_session = self._separate_sessions(files)
-            self._files = files_by_session
-        except NotImplementedError:
-            self._valid = False
-            mod_logger.warning(
-                f"Subject {self.subject_id} has inconsistent session numbers."
-                f"Skipping download."
-            )
-            return
-
-        if not files_by_session.keys():
-            # There were no valid sessions
-            self._valid = False
-            mod_logger.warning(
-                f"Subject {self.subject_id} is not a valid subject. "
-                f"Skipping download."
-            )
-            return
-
-        # Now iterate through the list and download each item
-        if pbar:
-            progress = tqdm(
-                desc=f"Download {self.subject_id}",
-                position=pbar_idx,
-                total=len(key_file_pairs) + 1,
-            )
-
-        for (key, fname) in key_file_pairs:
-            _download_from_s3(
-                fname=fname, bucket=self.study.bucket, key=key, overwrite=overwrite
-            )
-
-            if pbar:
-                progress.update()
-
-        if pbar:
-            progress.set_description(f"Postproc {self.subject_id}")
-
-        self.study.postprocess(subject=self)
-
-        if pbar:
-            progress.update()
-            progress.close()
-
-    def _determine_directions(
-        self,
-        input_files,
-        input_type="s3",
-        metadata_source="json",
-        json_key="PhaseEncodingDirection",
-        ap_value="j-",
-        pa_value="j",
-    ):
-        """Determine direction ['AP', 'PA'] of single subject's EPI nifty files
-
-        Use either metadata in associated json file or filename
-
-        Parameters
-        ----------
-        input_files : dict
-            The local input files for the subject
-
-        input_type : "s3" or "local", default="s3"
-            The location of the input files, local or on S3
-
-        metadata_source : "json" or "filename", default="json"
-            If "filename," look for the direction in the filename,
-            otherwise, use the json file and the other parameters
-
-        json_key : string, default="PhaseEncodingDirection"
-            The key that stores the direction information
-
-        ap_value : string, default="j-"
-            Metadata value to associate with dir-AP
-
-        pa_value : string, default="j"
-            Metadata value to associate with dir-PA
-
-        Returns
-        -------
-        dict
-            Filenames or S3 keys where all fields match self.files or
-            self.s3_keys except that in the "epi_nii" and "epi_json" keys
-            have been replaced with "epi_ap" and "epi_pa."
-        """
-        if metadata_source not in ["filename", "json"]:
-            raise ValueError('metadata_source must be "filename" or "json".')
-
-        if input_type not in ["s3", "local"]:
-            raise ValueError('input_type must be "local" or "s3".')
-
-        epi_files = input_files["epi_nii"]
-        json_files = input_files["epi_json"]
-        if metadata_source == "filename":
-            ap_files = [f for f in epi_files if "dir-AP" in f]
-            pa_files = [f for f in epi_files if "dir-PA" in f]
-        else:
-            # Confirm that each nifty file has a corresponding json file.
-            required_json = set([f.replace(".nii.gz", ".json") for f in epi_files])
-            if set(json_files) != required_json:
-                self._valid = False
-                mod_logger.warning(
-                    f"Subject {self.subject_id} does not have json files "
-                    f"corresponding to its fmap NIFTI files. Failed to "
-                    f"find the following expected files: "
-                    f"{required_json - set(json_files)}. Subject deemed "
-                    f"invalid."
-                )
-                return input_files
-
-            def get_json(json_file):
-                if input_type == "local":
-                    with open(json_file, "r") as fp:
-                        meta = json.load(fp)
-                else:
-                    s3 = get_s3_client()
-                    response = s3.get_object(Bucket=self.study.bucket, Key=json_file)
-                    meta = json.loads(response.get("Body").read())
-
-                return meta
-
-            ap_files = []
-            pa_files = []
-            for jfile in json_files:
-                metadata = get_json(jfile)
-
-                direction = metadata.get(json_key)
-                if direction == ap_value:
-                    if "dir-PA" in jfile:
-                        mod_logger.warning(
-                            "The key {key:s}={val:s} does not match the direction "
-                            "suggested by the filename {fn:s}".format(
-                                key=json_key, val=direction, fn=jfile
-                            )
-                        )
-                    ap_files.append(jfile.replace(".json", ".nii.gz"))
-                elif direction == pa_value:
-                    if "dir-AP" in jfile:
-                        mod_logger.warning(
-                            "The key {key:s}={val:s} does not match the direction "
-                            "suggested by the filename {fn:s}".format(
-                                key=json_key, val=direction, fn=jfile
-                            )
-                        )
-                    pa_files.append(jfile.replace(".json", ".nii.gz"))
-                elif direction is None:
-                    mod_logger.warning(
-                        "The key {key:s} does not exist in file {jfile:s}. "
-                        "Falling back on filename to determine directionality."
-                        "\n\n".format(key=json_key, jfile=jfile)
-                    )
-                    if "dir-AP" in jfile:
-                        ap_files.append(jfile.replace(".json", ".nii.gz"))
-                    elif "dir-PA" in jfile:
-                        pa_files.append(jfile.replace(".json", ".nii.gz"))
-                    else:
-                        self._valid = False
-                        mod_logger.warning(
-                            f"Subject {self.subject_id} lacks the expected "
-                            f"{json_key} key in file {jfile} and the "
-                            f"directionality could not be inferred from the "
-                            f"file name. Setting subject validity to False."
-                        )
-                        return input_files
-                else:
-                    mod_logger.warning(
-                        "The metadata in file {jfile:s} does not match the dir-PA "
-                        "or dir-AP values that you provided. {key:s} = {val:s}. "
-                        "Falling back on filename to determine directionality.\n\n"
-                        "".format(jfile=jfile, key=json_key, val=direction)
-                    )
-                    if "dir-AP" in jfile:
-                        ap_files.append(jfile.replace(".json", ".nii.gz"))
-                    elif "dir-PA" in jfile:
-                        pa_files.append(jfile.replace(".json", ".nii.gz"))
-                    else:
-                        self._valid = False
-                        mod_logger.warning(
-                            "The metadata for key {key:s} in file {jfile:s} does "
-                            "not match the dir-PA or dir-AP values that you "
-                            "provided. {key:s} = {val:s}. And the directionality "
-                            "could not be inferred from the file name.".format(
-                                key=json_key, jfile=jfile, val=direction
-                            )
-                        )
-                        return input_files
-
-        files = copy.deepcopy(input_files)
-        del files["epi_nii"]
-        del files["epi_json"]
-        files["epi_ap"] = ap_files
-        files["epi_pa"] = pa_files
-
-        return files
-
-    def _separate_sessions(
-        self, input_files, multiples_policy="sessions", assign_empty_sessions=True
-    ):
-        """Separate input file register into different sessions
-
-        Parameters
-        ----------
-        input_files : dict
-            Dictionary of subject files
-
-        multiples_policy : "sessions" or "concatenate"
-            Flag that dictates how to handle multiple files in a session.
-            If "sessions," treat multiples as different sessions and assign
-            to new session IDs. If "concatenate," concatenate multiples into
-            a single session
-
-        assign_empty_sessions : bool
-            If True, assign session IDs to files without a session ID in
-            their path
-
-        Returns
-        -------
-        dict of dicts
-            Dict of Dicts of file names
-        """
-        if multiples_policy not in ["sessions", "concatenate"]:
-            raise ValueError(
-                '`multiples_policy` must be either "sessions" or ' '"concatenate"'
-            )
-
-        # Take only the first of the T1W nifty files
-        if len(input_files["t1w"]) > 1:
-            mod_logger.warning(
-                f"Found more than one T1W file for subject {self.subject_id} "
-                f"at site {self.site}. Discarding the others.\n\n"
-            )
-
-        t1w = input_files["t1w"]
-
-        # Take only the first freesurfer directory
-        freesurfer_dirs = {
-            f.split("/freesurfer/")[0] for f in input_files["freesurfer"]
-        }
-
-        if len(freesurfer_dirs) > 1:
-            mod_logger.warning(
-                f"Found more than one freesurfer directory for subject "
-                f"{self.subject_id} at site {self.site}. Discarding the "
-                f"others.\n\n"
-            )
-
-        freesurfer_dir = freesurfer_dirs.pop()
-        freesurfer = [
-            f for f in input_files["freesurfer"] if f.startswith(freesurfer_dir)
-        ]
-
-        # Organize the files by session ID
-        def get_sess_id(filename, fallback="null"):
-            # Retrieve the session ID from a filename
-            match = re.search("/ses-[0-9a-zA-Z]*/", filename)
-            if match is not None:
-                return match.group().strip("/")
-            else:
-                return fallback
-
-        ftypes = ["dwi", "bvec", "bval", "epi_ap", "epi_pa"]
-
-        sess_ids = {ft: {get_sess_id(fn) for fn in input_files[ft]} for ft in ftypes}
-
-        if not all([s == list(sess_ids.values())[0] for s in sess_ids.values()]):
-            mod_logger.warning(
-                "Session numbers are inconsistent for subject {sub:s} at site "
-                "{site:s}. Ses-IDs: {sess_ids!s}.\n"
-                "Files: {files!s}\n\n".format(
-                    sub=self.subject_id,
-                    site=self.site,
-                    sess_ids=sess_ids,
-                    files={
-                        k: (v)
-                        for k, v in input_files.items()
-                        if k in ["dwi", "bvec", "bval", "epi_ap", "epi_pa"]
-                    },
-                )
-            )
-            return
-
-        # We just confirmed that all of the session ID sets are equal so we can
-        # pop one set of session IDs off of `sess_ids` and use it from now on
-        sess_ids = sess_ids[ftypes[0]]
-
-        # Collect files by session ID and then file type
-        files_by_session = {
-            sess: {
-                ft: [f for f in input_files[ft] if get_sess_id(f) == sess]
-                for ft in ftypes
-            }
-            for sess in sess_ids
-        }
-
-        output_files = {}
-
-        # Loop over each session ID
-        for session, files in files_by_session.items():
-            # Confirm that the subject has an equal number of each type of file
-            n_files = {
-                k: len(v)
-                for k, v in files.items()
-                if k in ["dwi", "bvec", "bval", "epi_ap", "epi_pa"]
-            }
-
-            if len(set(n_files.values())) != 1:
-                mod_logger.warning(
-                    f"The number of files is inconsistent for subject "
-                    f"{self.subject_id} at site {self.site}. The file numbers "
-                    f"are {n_files!s}\n\n"
-                )
-            elif len(set(n_files.values())) == 1:
-                # There is only one set of files in this session.
-                # Append to output.
-                if session == "null":
-                    output_session = "ses-01" if assign_empty_sessions else None
-                else:
-                    output_session = session
-
-                output_files[output_session] = dict(
-                    dwi=input_files["dwi"],
-                    bvec=input_files["bvec"],
-                    bval=input_files["bval"],
-                    epi_ap=input_files["epi_ap"],
-                    epi_pa=input_files["epi_pa"],
-                    json=input_files["json"],
-                    t1w=t1w,
-                    freesurfer=freesurfer,
-                )
-            else:
-                # There are multiple copies of files for this one session ID.
-                if multiples_policy == "concatenate":
-                    # The multiple copies represent one session and should be
-                    # concatenated
-                    raise NotImplementedError(
-                        "Concatenation of multiples not " "yet implemented."
-                    )
-                else:
-                    # The multiple copies represent multiple sessions and
-                    # should be further subdivided into sessions
-                    raise NotImplementedError(
-                        "Session subdivision not yet " "implemented."
-                    )
-
-        return output_files
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index f9bcb4dc..43d829fb 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -52,7 +52,6 @@ def init_dwi_preproc_wf(
                 "bval_file",
                 "out_dir",
                 "eddy_niter",
-                "slice_outlier_threshold",
             ]
         ),
         name="inputnode",

From 612e01f0fa37c7e998df4a2fb1bb12ae14ff7a98 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 16:17:32 -0400
Subject: [PATCH 045/156] rename datasink to outputs

---
 dmriprep/workflows/dwi/{datasink.py => outputs.py} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename dmriprep/workflows/dwi/{datasink.py => outputs.py} (100%)

diff --git a/dmriprep/workflows/dwi/datasink.py b/dmriprep/workflows/dwi/outputs.py
similarity index 100%
rename from dmriprep/workflows/dwi/datasink.py
rename to dmriprep/workflows/dwi/outputs.py

From e1212dc74d464cdf3858d012e233cd2874f53d9b Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 16:18:32 -0400
Subject: [PATCH 046/156] rename datasink to outputs

---
 dmriprep/workflows/dwi/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index c8dbb344..24c6efe7 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -1,4 +1,4 @@
 #!/usr/bin/env python
 
 from .base import init_dwi_preproc_wf
-from .datasink import init_output_wf
+from .outputs import init_output_wf

From 286f9a912f8c68eac8e3930e0da3473a2641c3a8 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 17:19:55 -0400
Subject: [PATCH 047/156] update configs

---
 .gitignore       |  3 ---
 CONTRIBUTING.rst | 11 ++++++++++-
 requirements.txt |  2 --
 setup.py         |  2 --
 tox.ini          |  5 ++---
 5 files changed, 12 insertions(+), 11 deletions(-)

diff --git a/.gitignore b/.gitignore
index a8237ba3..3cae9a46 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,6 +103,3 @@ ENV/
 
 # Mac OS nonsense:
 .DS_Store
-
-#kubernetes stuff
-kubernetes/jobs/
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 6a178e58..2896e4d5 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -119,10 +119,19 @@ Before you submit a pull request, check that it meets these guidelines:
 2. If the pull request adds functionality, the docs should be updated. Put
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
-3. The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check
+3. The pull request should work for Python 3.5, 3.6 and 3.7, and for PyPy. Check
    https://travis-ci.org/nipy/dmriprep/pull_requests
    and make sure that the tests pass for all supported Python versions.
 
+When opening a pull request, please use one of the following prefixes:
+
+* **[ENH]** for enhancements
+* **[FIX]** for bug fixes
+* **[TST]** for new or updated tests
+* **[DOC]** for new or updated documentation
+* **[STY]** for stylistic changes
+* **[REF]** for refactoring existing code
+
 Tips
 ----
 
diff --git a/requirements.txt b/requirements.txt
index 6788228f..29ffc900 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,4 @@
 Click>=6.0
-dask==1.2.2
 dipy==0.16.0
 nipype==1.2.1
 pandas==0.24.2
@@ -7,5 +6,4 @@ parse==1.12.0
 tqdm==4.32.1
 pybids==0.9.1
 matplotlib==3.1.0
-cytoolz==0.9.0.1
 numba==0.44.0
diff --git a/setup.py b/setup.py
index 58974637..b4add0ae 100644
--- a/setup.py
+++ b/setup.py
@@ -13,7 +13,6 @@
 
 requirements = [
     "Click>=6.0",
-    "dask",
     "dipy",
     "nipype",
     "pandas",
@@ -21,7 +20,6 @@
     "tqdm",
     "pybids",
     "matplotlib",
-    "cytoolz",
     "numba",
 ]
 
diff --git a/tox.ini b/tox.ini
index 2bb783a1..4347a530 100644
--- a/tox.ini
+++ b/tox.ini
@@ -1,12 +1,11 @@
 [tox]
-envlist = py27, py34, py35, py36, flake8
+envlist = py35, py36, py37, flake8
 
 [travis]
 python =
+    3.7: py37
     3.6: py36
     3.5: py35
-    3.4: py34
-    2.7: py27
 
 [testenv:flake8]
 basepython = python

From ebaca839976f409bb90f82b9515c24ea936418f7 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 17:30:15 -0400
Subject: [PATCH 048/156] updating cli

---
 dmriprep/cli.py                | 11 ++++++++++
 dmriprep/workflows/base.py     | 40 +++++++++++++++++++++++++++-------
 dmriprep/workflows/dwi/base.py | 12 +++++-----
 3 files changed, 50 insertions(+), 13 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 338dd4bb..9dce15cf 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -28,6 +28,15 @@
     "can be specified with a space separated list.",
     default=None,
 )
+@click.command()
+@click.option(
+    "--ignore",
+    help="Ignore selected parts of the workflow.",
+    type=click.Choice(["denoise", "unring"]),
+)
+@click.option(
+    "--resize-scale", help="Scale factor to resize DWI image", type=(float)
+)
 @click.option(
     "--eddy-niter",
     help="Fixed number of eddy iterations. See "
@@ -73,6 +82,7 @@ def main(
     participant_label,
     bids_dir,
     output_dir,
+    resize_scale,
     eddy_niter=5,
     bet_dwi=0.3,
     bet_mag=0.3,
@@ -109,6 +119,7 @@ def main(
         subject_list,
         work_dir,
         output_dir,
+        resize_scale,
         bet_dwi,
         bet_mag,
         total_readout,
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 42d0a1e1..588db766 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -8,8 +8,14 @@
 
 
 def init_dmriprep_wf(
-    layout, subject_list, work_dir, output_dir,
-    bet_dwi, bet_mag, total_readout
+    layout,
+    subject_list,
+    work_dir,
+    output_dir,
+    resize_scale,
+    bet_dwi,
+    bet_mag,
+    total_readout,
 ):
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = work_dir
@@ -22,6 +28,7 @@ def init_dmriprep_wf(
             name="single_subject_" + subject_id + "_wf",
             work_dir=work_dir,
             output_dir=output_dir,
+            resize_scale=resize_scale,
             bet_dwi=bet_dwi,
             bet_mag=bet_mag,
             total_readout=total_readout,
@@ -40,8 +47,15 @@ def init_dmriprep_wf(
 
 
 def init_single_subject_wf(
-    layout, subject_id, name, work_dir, output_dir,
-    bet_dwi, bet_mag, total_readout
+    layout,
+    subject_id,
+    name,
+    work_dir,
+    output_dir,
+    resize_scale,
+    bet_dwi,
+    bet_mag,
+    total_readout,
 ):
 
     dwi_files = layout.get(
@@ -65,14 +79,24 @@ def init_single_subject_wf(
         session_id = entities["session"]
         metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
-            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout,
-            bet_dwi_frac=bet_dwi, bet_mag_frac=bet_mag, total_readout=total_readout
+            subject_id=subject_id,
+            dwi_file=dwi_file,
+            dwi_meta=metadata,
+            layout=layout,
+            resize_scale=resize_scale,
+            bet_dwi_frac=bet_dwi,
+            bet_mag_frac=bet_mag,
+            total_readout=total_readout,
         )
         datasink_wf = init_output_wf(
-            subject_id=subject_id, session_id=session_id, output_folder=output_dir
+            subject_id=subject_id,
+            session_id=session_id,
+            output_folder=output_dir,
         )
 
-        dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(work_dir), subject_id)
+        dwi_preproc_wf.base_dir = os.path.join(
+            os.path.abspath(work_dir), subject_id
+        )
 
         inputspec = dwi_preproc_wf.get_node("inputnode")
         inputspec.inputs.subject_id = subject_id
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 43d829fb..e133b630 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -19,8 +19,9 @@
 def init_dwi_preproc_wf(
     subject_id,
     dwi_file,
-    metadata,
+    dwi_meta,
     layout,
+    resize_scale,
     bet_dwi_frac,
     bet_mag_frac,
     total_readout,
@@ -38,7 +39,7 @@ def init_dwi_preproc_wf(
     for fmap in fmaps:
         fmap["metadata"] = layout.get_metadata(fmap[fmap["suffix"]])
 
-    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac)
+    sdc_wf = init_sdc_prep_wf(fmaps, dwi_meta, layout, bet_mag_frac)
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
@@ -47,7 +48,7 @@ def init_dwi_preproc_wf(
             fields=[
                 "subject_id",
                 "dwi_file",
-                "metadata",
+                "di_meta",
                 "bvec_file",
                 "bval_file",
                 "out_dir",
@@ -66,7 +67,8 @@ def init_dwi_preproc_wf(
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
 
-    resize = pe.Node(mrtrix3.MRResize(), name="resize")
+    if resize_scale:
+        resize = pe.Node(mrtrix3.MRResize(scale=resize_scale), name="resize")
 
     def gen_index(in_file):
 
@@ -234,7 +236,7 @@ def get_b0_mask_fn(b0_file):
             (
                 inputnode,
                 acqp,
-                [("dwi_file", "in_file"), ("metadata", "metadata")],
+                [("dwi_file", "in_file"), ("dwi_meta", "metadata")],
             ),
             (unring, ecc, [("out_file", "in_file")]),
             (

From d39949ac03702a92915525867a8ae82932cdd665 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 17:30:27 -0400
Subject: [PATCH 049/156] move package imports to top

---
 dmriprep/workflows/dwi/outputs.py | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/dmriprep/workflows/dwi/outputs.py b/dmriprep/workflows/dwi/outputs.py
index 30cd1bc0..c14fe3a5 100644
--- a/dmriprep/workflows/dwi/outputs.py
+++ b/dmriprep/workflows/dwi/outputs.py
@@ -1,9 +1,12 @@
 #!/usr/bin/env python
 
+import os
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import io as nio, utility as niu
+
 
 def init_output_wf(subject_id, session_id, output_folder):
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import io as nio, utility as niu
 
     op_wf = pe.Workflow(name="output_wf")
 
@@ -30,10 +33,13 @@ def init_output_wf(subject_id, session_id, output_folder):
     )
 
     def build_path(output_folder, subject_id, session_id):
-        import os.path as op
 
-        return op.join(
-            output_folder, "dmriprep", "sub-" + subject_id, "ses-" + session_id, "dwi"
+        return os.path.join(
+            output_folder,
+            "dmriprep",
+            "sub-" + subject_id,
+            "ses-" + session_id,
+            "dwi",
         )
 
     concat = pe.Node(

From e2c08434ebfa7e6b8397e4c47139b53acc64b85d Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 17:30:49 -0400
Subject: [PATCH 050/156] update docs

---
 docs/dmriprep.interfaces.rst         | 30 ++++++++++++++++++
 docs/dmriprep.rst                    | 46 ++++++++++++++++++++++++++++
 docs/dmriprep.workflows.dwi.rst      | 38 +++++++++++++++++++++++
 docs/dmriprep.workflows.fieldmap.rst | 38 +++++++++++++++++++++++
 docs/dmriprep.workflows.rst          | 30 ++++++++++++++++++
 docs/modules.rst                     |  7 +++++
 6 files changed, 189 insertions(+)
 create mode 100644 docs/dmriprep.interfaces.rst
 create mode 100644 docs/dmriprep.rst
 create mode 100644 docs/dmriprep.workflows.dwi.rst
 create mode 100644 docs/dmriprep.workflows.fieldmap.rst
 create mode 100644 docs/dmriprep.workflows.rst
 create mode 100644 docs/modules.rst

diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
new file mode 100644
index 00000000..a7517461
--- /dev/null
+++ b/docs/dmriprep.interfaces.rst
@@ -0,0 +1,30 @@
+dmriprep.interfaces package
+===========================
+
+Submodules
+----------
+
+dmriprep.interfaces.fmap module
+-------------------------------
+
+.. automodule:: dmriprep.interfaces.fmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.interfaces.mrtrix3 module
+----------------------------------
+
+.. automodule:: dmriprep.interfaces.mrtrix3
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.interfaces
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
new file mode 100644
index 00000000..4fef8f43
--- /dev/null
+++ b/docs/dmriprep.rst
@@ -0,0 +1,46 @@
+dmriprep package
+================
+
+Subpackages
+-----------
+
+.. toctree::
+
+   dmriprep.interfaces
+   dmriprep.workflows
+
+Submodules
+----------
+
+dmriprep.cli module
+-------------------
+
+.. automodule:: dmriprep.cli
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.qc module
+------------------
+
+.. automodule:: dmriprep.qc
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.utils module
+---------------------
+
+.. automodule:: dmriprep.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
new file mode 100644
index 00000000..187803f6
--- /dev/null
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -0,0 +1,38 @@
+dmriprep.workflows.dwi package
+==============================
+
+Submodules
+----------
+
+dmriprep.workflows.dwi.base module
+----------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.outputs module
+-------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.outputs
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.tensor module
+------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.tensor
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.workflows.dwi
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
new file mode 100644
index 00000000..73619ae0
--- /dev/null
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -0,0 +1,38 @@
+dmriprep.workflows.fieldmap package
+===================================
+
+Submodules
+----------
+
+dmriprep.workflows.fieldmap.base module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.fieldmap.fmap module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.fmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.fieldmap.phasediff module
+--------------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.phasediff
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.workflows.fieldmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.rst b/docs/dmriprep.workflows.rst
new file mode 100644
index 00000000..8dc264ff
--- /dev/null
+++ b/docs/dmriprep.workflows.rst
@@ -0,0 +1,30 @@
+dmriprep.workflows package
+==========================
+
+Subpackages
+-----------
+
+.. toctree::
+
+   dmriprep.workflows.dwi
+   dmriprep.workflows.fieldmap
+
+Submodules
+----------
+
+dmriprep.workflows.base module
+------------------------------
+
+.. automodule:: dmriprep.workflows.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.workflows
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/modules.rst b/docs/modules.rst
new file mode 100644
index 00000000..05dd5a95
--- /dev/null
+++ b/docs/modules.rst
@@ -0,0 +1,7 @@
+dmriprep
+========
+
+.. toctree::
+   :maxdepth: 4
+
+   dmriprep

From d02c7bcdaa60d6f709669468c63ece902d539619 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 17:31:04 -0400
Subject: [PATCH 051/156] temp tensor module

---
 dmriprep/workflows/dwi/tensor.py | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 dmriprep/workflows/dwi/tensor.py

diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
new file mode 100644
index 00000000..e69de29b

From c4690b67f30f2a47e92374aac9fe3b92463a374c Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 17:34:57 -0400
Subject: [PATCH 052/156] update grabbing fmap metadata

---
 dmriprep/workflows/dwi/base.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index e133b630..dfc3588e 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -37,7 +37,12 @@ def init_dwi_preproc_wf(
         )
 
     for fmap in fmaps:
-        fmap["metadata"] = layout.get_metadata(fmap[fmap["suffix"]])
+        if fmap["suffix"] == "phase":
+            fmap["metadata"] = {}
+            fmap["metadata"]["phase1"] = layout.get_metadata(fmap["phase1"])
+            fmap["metadata"]["phase2"] = layout.get_metadata(fmap["phase2"])
+        else:
+            fmap["metadata"] = layout.get_metadata(fmap[fmap["suffix"]])
 
     sdc_wf = init_sdc_prep_wf(fmaps, dwi_meta, layout, bet_mag_frac)
 

From 80005d0cc97f9c1ad75620a2d7c4ce2b660a420b Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 8 Jul 2019 17:36:12 -0400
Subject: [PATCH 053/156] rename dmriprep to dmripreproc

---
 .github/ISSUE_TEMPLATE.md                     |  2 +-
 .travis.yml                                   |  2 +-
 CONTRIBUTING.rst                              | 28 ++++++++--------
 Makefile                                      |  8 ++---
 README.md                                     | 32 +++++++++----------
 {dmriprep => dmripreproc}/__init__.py         |  8 ++---
 {dmriprep => dmripreproc}/cli.py              |  8 ++---
 .../interfaces/__init__.py                    |  0
 {dmriprep => dmripreproc}/interfaces/fmap.py  |  0
 .../interfaces/mrtrix3.py                     |  0
 {dmriprep => dmripreproc}/qc.py               |  0
 {dmriprep => dmripreproc}/utils.py            |  0
 .../workflows/__init__.py                     |  0
 {dmriprep => dmripreproc}/workflows/base.py   | 12 +++----
 .../workflows/dwi/__init__.py                 |  0
 .../workflows/dwi/base.py                     |  0
 .../workflows/dwi/outputs.py                  |  2 +-
 .../workflows/dwi/tensor.py                   |  0
 .../workflows/fieldmap/__init__.py            |  0
 .../workflows/fieldmap/base.py                |  0
 .../workflows/fieldmap/fmap.py                |  0
 .../workflows/fieldmap/phasediff.py           |  0
 docs/Makefile                                 |  2 +-
 docs/conf.py                                  | 26 +++++++--------
 docs/dmriprep.interfaces.rst                  | 12 +++----
 docs/dmriprep.rst                             | 20 ++++++------
 docs/dmriprep.workflows.dwi.rst               | 16 +++++-----
 docs/dmriprep.workflows.fieldmap.rst          | 16 +++++-----
 docs/dmriprep.workflows.rst                   | 12 +++----
 docs/img/dmriprep_icon.svg                    |  4 +--
 docs/index.rst                                |  2 +-
 docs/installation.rst                         | 16 +++++-----
 docs/make.bat                                 |  2 +-
 docs/modules.rst                              |  4 +--
 docs/usage.rst                                |  4 +--
 setup.cfg                                     |  2 +-
 setup.py                                      | 14 ++++----
 tests/test_dmriprep.py                        |  4 +--
 tests/test_utils.py                           |  4 +--
 tox.ini                                       |  2 +-
 40 files changed, 132 insertions(+), 132 deletions(-)
 rename {dmriprep => dmripreproc}/__init__.py (85%)
 rename {dmriprep => dmripreproc}/cli.py (95%)
 rename {dmriprep => dmripreproc}/interfaces/__init__.py (100%)
 rename {dmriprep => dmripreproc}/interfaces/fmap.py (100%)
 rename {dmriprep => dmripreproc}/interfaces/mrtrix3.py (100%)
 rename {dmriprep => dmripreproc}/qc.py (100%)
 rename {dmriprep => dmripreproc}/utils.py (100%)
 rename {dmriprep => dmripreproc}/workflows/__init__.py (100%)
 rename {dmriprep => dmripreproc}/workflows/base.py (93%)
 rename {dmriprep => dmripreproc}/workflows/dwi/__init__.py (100%)
 rename {dmriprep => dmripreproc}/workflows/dwi/base.py (100%)
 rename {dmriprep => dmripreproc}/workflows/dwi/outputs.py (98%)
 rename {dmriprep => dmripreproc}/workflows/dwi/tensor.py (100%)
 rename {dmriprep => dmripreproc}/workflows/fieldmap/__init__.py (100%)
 rename {dmriprep => dmripreproc}/workflows/fieldmap/base.py (100%)
 rename {dmriprep => dmripreproc}/workflows/fieldmap/fmap.py (100%)
 rename {dmriprep => dmripreproc}/workflows/fieldmap/phasediff.py (100%)

diff --git a/.github/ISSUE_TEMPLATE.md b/.github/ISSUE_TEMPLATE.md
index 82215755..b1e3287a 100644
--- a/.github/ISSUE_TEMPLATE.md
+++ b/.github/ISSUE_TEMPLATE.md
@@ -1,4 +1,4 @@
-* dmriprep version:
+* dmriprepoc version:
 * Python version:
 * Operating System:
 
diff --git a/.travis.yml b/.travis.yml
index fee7fbc0..3f5e8338 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -24,5 +24,5 @@ deploy:
     secure: PLEASE_REPLACE_ME
   on:
     tags: true
-    repo: tigrlab/dmripreproc
+    repo: tigrlab/dmriprepocroc
     python: 3.7
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 2896e4d5..7b7906a9 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -7,10 +7,10 @@ Contributing
 Contributions are welcome, and they are greatly appreciated! Every little bit
 helps, and credit will always be given.
 
-Installing a development version of dmriprep
+Installing a development version of dmriprepoc
 --------------------------------------------
 
-First, you can install a development version of dmriprep by cloning this repository
+First, you can install a development version of dmriprepoc by cloning this repository
 and then typing::
 
     $ pip install -e .[dev]
@@ -32,7 +32,7 @@ You can contribute in many ways:
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/nipy/dmriprep/issues.
+Report bugs at https://github.com/nipy/dmriprepoc/issues.
 
 If you are reporting a bug, please include:
 
@@ -55,14 +55,14 @@ and "help wanted" is open to whoever wants to implement it.
 Write Documentation
 ~~~~~~~~~~~~~~~~~~~
 
-dmriprep could always use more documentation, whether as part of the
-official dmriprep docs, in docstrings, or even on the web in blog posts,
+dmriprepoc could always use more documentation, whether as part of the
+official dmriprepoc docs, in docstrings, or even on the web in blog posts,
 articles, and such.
 
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/nipy/dmriprep/issues.
+The best way to send feedback is to file an issue at https://github.com/nipy/dmriprepoc/issues.
 
 If you are proposing a feature:
 
@@ -74,17 +74,17 @@ If you are proposing a feature:
 Get Started!
 ------------
 
-Ready to contribute? Here's how to set up `dmriprep` for local development.
+Ready to contribute? Here's how to set up `dmriprepoc` for local development.
 
-1. Fork the `dmriprep` repo on GitHub.
+1. Fork the `dmriprepoc` repo on GitHub.
 2. Clone your fork locally::
 
-    $ git clone git@github.com:your_name_here/dmriprep.git
+    $ git clone git@github.com:your_name_here/dmriprepoc.git
 
 3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::
 
-    $ mkvirtualenv dmriprep
-    $ cd dmriprep/
+    $ mkvirtualenv dmriprepoc
+    $ cd dmriprepoc/
     $ python setup.py develop
 
 4. Create a branch for local development::
@@ -96,7 +96,7 @@ Ready to contribute? Here's how to set up `dmriprep` for local development.
 5. When you're done making changes, check that your changes pass flake8 and the
    tests, including testing other Python versions with tox::
 
-    $ flake8 dmriprep tests
+    $ flake8 dmriprepoc tests
     $ python setup.py test or py.test
     $ tox
 
@@ -120,7 +120,7 @@ Before you submit a pull request, check that it meets these guidelines:
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
 3. The pull request should work for Python 3.5, 3.6 and 3.7, and for PyPy. Check
-   https://travis-ci.org/nipy/dmriprep/pull_requests
+   https://travis-ci.org/nipy/dmriprepoc/pull_requests
    and make sure that the tests pass for all supported Python versions.
 
 When opening a pull request, please use one of the following prefixes:
@@ -137,7 +137,7 @@ Tips
 
 To run a subset of tests::
 
-$ py.test tests.test_dmriprep
+$ py.test tests.test_dmriprepoc
 
 
 Deploying
diff --git a/Makefile b/Makefile
index 7f76d452..88ba6d85 100644
--- a/Makefile
+++ b/Makefile
@@ -51,7 +51,7 @@ clean-test: ## remove test and coverage artifacts
 	rm -fr .pytest_cache
 
 lint: ## check style with flake8
-	flake8 dmriprep tests
+	flake8 dmriprepoc tests
 
 test: ## run tests quickly with the default Python
 	py.test
@@ -60,15 +60,15 @@ test-all: ## run tests on every Python version with tox
 	tox
 
 coverage: ## check code coverage quickly with the default Python
-	coverage run --source dmriprep -m pytest
+	coverage run --source dmriprepoc -m pytest
 	coverage report -m
 	coverage html
 	$(BROWSER) htmlcov/index.html
 
 docs: ## generate Sphinx HTML documentation, including API docs
-	rm -f docs/dmriprep.rst
+	rm -f docs/dmriprepoc.rst
 	rm -f docs/modules.rst
-	sphinx-apidoc -o docs/ dmriprep
+	sphinx-apidoc -o docs/ dmriprepoc
 	$(MAKE) -C docs clean
 	$(MAKE) -C docs html
 	$(BROWSER) docs/_build/html/index.html
diff --git a/README.md b/README.md
index ed752966..dc65c3eb 100644
--- a/README.md
+++ b/README.md
@@ -1,16 +1,16 @@
-[![Known Vulnerabilities](https://snyk.io/test/github/nipy/dmriprep/badge.svg)](https://snyk.io/test/github/nipy/dmriprep)
-[![Documentation Status](https://readthedocs.org/projects/dmriprep/badge/?version=latest)](httpsL//dmriprep.readthredocs.io/en/latest/?badge=latest)
-[![Build Status](https://travis-ci.org/nipy/dmriprep.png?branch=master)](https://travis-ci.org/nipy/dmriprep)
-[![Coverage Status](https://coveralls.io/repos/github/nipy/dmriprep/badge.svg?branch=master)](https://coveralls.io/github/nipy/dmriprep?branch=master)
+[![Known Vulnerabilities](https://snyk.io/test/github/nipy/dmriprepoc/badge.svg)](https://snyk.io/test/github/nipy/dmriprepoc)
+[![Documentation Status](https://readthedocs.org/projects/dmriprepoc/badge/?version=latest)](httpsL//dmriprepoc.readthredocs.io/en/latest/?badge=latest)
+[![Build Status](https://travis-ci.org/nipy/dmriprepoc.png?branch=master)](https://travis-ci.org/nipy/dmriprepoc)
+[![Coverage Status](https://coveralls.io/repos/github/nipy/dmriprepoc/badge.svg?branch=master)](https://coveralls.io/github/nipy/dmriprepoc?branch=master)
 [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
 
-# <img alt="dmriprep" src="docs/img/dmriprep_icon.svg" height="128"> dmriprep
+# <img alt="dmriprepoc" src="docs/img/dmriprepoc_icon.svg" height="128"> dmriprepoc
 
 Preprocessing of neuroimaging data in preparation for AFQ analysis
 
 * Free software: BSD license
-* Documentation: https://dmriprep.readthedocs.io.
+* Documentation: https://dmriprepoc.readthedocs.io.
 
 ## Preparing your data
 
@@ -34,28 +34,28 @@ You should have raw data organized in the BIDS format. Also, you should have run
 ## Quickstart
 
 ```bash
-git clone https://github.com/nipy/dmriprep
-cd dmriprep
+git clone https://github.com/nipy/dmriprepoc
+cd dmriprepoc
 python setup.py install
 
-dmriprep $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
+dmriprepoc $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
 ```
 
 ```bash
-git clone https://github.com/nipy/dmriprep
-cd dmriprep
+git clone https://github.com/nipy/dmriprepoc
+cd dmriprepoc
 make docker
 
 # If you don't want to log into the docker image:
 
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod dmriprep /inputs /outputs
+docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprepoc:prod dmriprepoc /inputs /outputs
 
 # If you want to log into the image:
 
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod 
+docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprepoc:prod 
 
 # Run this inside the docker image:
-dmriprep /inputs /outpus --participant-label 01
+dmriprepoc /inputs /outpus --participant-label 01
 ```
 
 ## Features
@@ -64,11 +64,11 @@ dmriprep /inputs /outpus --participant-label 01
 
 ## Contributing
 
-We love contributions! dmriprep is open source, built on open source,
+We love contributions! dmriprepoc is open source, built on open source,
 and we'd love to have you hang out in our community.
 
 We have developed some [guidelines](CONTRIBUTING.rst) for contributing to
-dmriprep.
+dmriprepoc.
 
 **Imposter syndrome disclaimer**: We want your help. No, really.
 
diff --git a/dmriprep/__init__.py b/dmripreproc/__init__.py
similarity index 85%
rename from dmriprep/__init__.py
rename to dmripreproc/__init__.py
index d7678e1e..ea3a9a84 100644
--- a/dmriprep/__init__.py
+++ b/dmripreproc/__init__.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Top-level package for dmriprep."""
+"""Top-level package for dmriprepoc."""
 
 __author__ = """Anisha Keshavan"""
 __email__ = "anishakeshavan@gmail.com"
@@ -22,13 +22,13 @@
 
 # get the log level from environment variable
 if "DMIRPREP_LOGLEVEL" in os.environ:
-    loglevel = os.environ["DMRIPREP_LOGLEVEL"]
+    loglevel = os.environ["dmriprepoc_LOGLEVEL"]
     module_logger.setLevel(getattr(logging, loglevel.upper()))
 else:
     module_logger.setLevel(logging.WARNING)
 
 # create a file handler
-logpath = os.path.join(os.path.expanduser("~"), ".dmriprep", "dmriprep.log")
+logpath = os.path.join(os.path.expanduser("~"), ".dmriprepoc", "dmriprepoc.log")
 
 # Create the config directory if it doesn't exist
 logdir = os.path.dirname(logpath)
@@ -52,4 +52,4 @@
 
 # add the handlers to the logger
 module_logger.addHandler(handler)
-module_logger.info("Started new dmriprep session")
+module_logger.info("Started new dmriprepoc session")
diff --git a/dmriprep/cli.py b/dmripreproc/cli.py
similarity index 95%
rename from dmriprep/cli.py
rename to dmripreproc/cli.py
index 9dce15cf..ad21a3c2 100644
--- a/dmriprep/cli.py
+++ b/dmripreproc/cli.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Console script for dmriprep."""
+"""Console script for dmriprepoc."""
 import os
 import sys
 import warnings
@@ -9,7 +9,7 @@
 import click
 
 from . import utils
-from .workflows.base import init_dmriprep_wf
+from .workflows.base import init_dmriprepoc_wf
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
@@ -104,7 +104,7 @@ def main(
     """
     if analysis_level is not "participant":
         raise NotImplementedError(
-            "The only valid analysis level for dmriprep "
+            "The only valid analysis level for dmriprepoc "
             "is participant at the moment."
         )
 
@@ -114,7 +114,7 @@ def main(
     )
 
     work_dir = os.path.join(output_dir, "scratch")
-    wf = init_dmriprep_wf(
+    wf = init_dmriprepoc_wf(
         layout,
         subject_list,
         work_dir,
diff --git a/dmriprep/interfaces/__init__.py b/dmripreproc/interfaces/__init__.py
similarity index 100%
rename from dmriprep/interfaces/__init__.py
rename to dmripreproc/interfaces/__init__.py
diff --git a/dmriprep/interfaces/fmap.py b/dmripreproc/interfaces/fmap.py
similarity index 100%
rename from dmriprep/interfaces/fmap.py
rename to dmripreproc/interfaces/fmap.py
diff --git a/dmriprep/interfaces/mrtrix3.py b/dmripreproc/interfaces/mrtrix3.py
similarity index 100%
rename from dmriprep/interfaces/mrtrix3.py
rename to dmripreproc/interfaces/mrtrix3.py
diff --git a/dmriprep/qc.py b/dmripreproc/qc.py
similarity index 100%
rename from dmriprep/qc.py
rename to dmripreproc/qc.py
diff --git a/dmriprep/utils.py b/dmripreproc/utils.py
similarity index 100%
rename from dmriprep/utils.py
rename to dmripreproc/utils.py
diff --git a/dmriprep/workflows/__init__.py b/dmripreproc/workflows/__init__.py
similarity index 100%
rename from dmriprep/workflows/__init__.py
rename to dmripreproc/workflows/__init__.py
diff --git a/dmriprep/workflows/base.py b/dmripreproc/workflows/base.py
similarity index 93%
rename from dmriprep/workflows/base.py
rename to dmripreproc/workflows/base.py
index 588db766..80f02787 100644
--- a/dmriprep/workflows/base.py
+++ b/dmripreproc/workflows/base.py
@@ -7,7 +7,7 @@
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
-def init_dmriprep_wf(
+def init_dmriprepoc_wf(
     layout,
     subject_list,
     work_dir,
@@ -17,8 +17,8 @@ def init_dmriprep_wf(
     bet_mag,
     total_readout,
 ):
-    dmriprep_wf = pe.Workflow(name="dmriprep_wf")
-    dmriprep_wf.base_dir = work_dir
+    dmriprepoc_wf = pe.Workflow(name="dmriprepoc_wf")
+    dmriprepoc_wf.base_dir = work_dir
 
     for subject_id in subject_list:
 
@@ -35,15 +35,15 @@ def init_dmriprep_wf(
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
-            output_dir, "dmriprep", "sub-" + subject_id, "log"
+            output_dir, "dmriprepoc", "sub-" + subject_id, "log"
         )
 
         for node in single_subject_wf._get_all_nodes():
             node.config = deepcopy(single_subject_wf.config)
 
-        dmriprep_wf.add_nodes([single_subject_wf])
+        dmriprepoc_wf.add_nodes([single_subject_wf])
 
-    return dmriprep_wf
+    return dmriprepoc_wf
 
 
 def init_single_subject_wf(
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmripreproc/workflows/dwi/__init__.py
similarity index 100%
rename from dmriprep/workflows/dwi/__init__.py
rename to dmripreproc/workflows/dwi/__init__.py
diff --git a/dmriprep/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
similarity index 100%
rename from dmriprep/workflows/dwi/base.py
rename to dmripreproc/workflows/dwi/base.py
diff --git a/dmriprep/workflows/dwi/outputs.py b/dmripreproc/workflows/dwi/outputs.py
similarity index 98%
rename from dmriprep/workflows/dwi/outputs.py
rename to dmripreproc/workflows/dwi/outputs.py
index c14fe3a5..a69322f9 100644
--- a/dmriprep/workflows/dwi/outputs.py
+++ b/dmripreproc/workflows/dwi/outputs.py
@@ -36,7 +36,7 @@ def build_path(output_folder, subject_id, session_id):
 
         return os.path.join(
             output_folder,
-            "dmriprep",
+            "dmriprepoc",
             "sub-" + subject_id,
             "ses-" + session_id,
             "dwi",
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmripreproc/workflows/dwi/tensor.py
similarity index 100%
rename from dmriprep/workflows/dwi/tensor.py
rename to dmripreproc/workflows/dwi/tensor.py
diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmripreproc/workflows/fieldmap/__init__.py
similarity index 100%
rename from dmriprep/workflows/fieldmap/__init__.py
rename to dmripreproc/workflows/fieldmap/__init__.py
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmripreproc/workflows/fieldmap/base.py
similarity index 100%
rename from dmriprep/workflows/fieldmap/base.py
rename to dmripreproc/workflows/fieldmap/base.py
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmripreproc/workflows/fieldmap/fmap.py
similarity index 100%
rename from dmriprep/workflows/fieldmap/fmap.py
rename to dmripreproc/workflows/fieldmap/fmap.py
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmripreproc/workflows/fieldmap/phasediff.py
similarity index 100%
rename from dmriprep/workflows/fieldmap/phasediff.py
rename to dmripreproc/workflows/fieldmap/phasediff.py
diff --git a/docs/Makefile b/docs/Makefile
index 9b90b864..22b578e9 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -4,7 +4,7 @@
 # You can set these variables from the command line.
 SPHINXOPTS    =
 SPHINXBUILD   = python -msphinx
-SPHINXPROJ    = dmriprep
+SPHINXPROJ    = dmriprepoc
 SOURCEDIR     = .
 BUILDDIR      = _build
 
diff --git a/docs/conf.py b/docs/conf.py
index 97b2a08e..1969c5d6 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 #
-# dmriprep documentation build configuration file, created by
+# dmriprepoc documentation build configuration file, created by
 # sphinx-quickstart on Fri Jun  9 13:47:02 2017.
 #
 # This file is execfile()d with the current directory set to its
@@ -22,7 +22,7 @@
 import sys
 sys.path.insert(0, os.path.abspath('..'))
 
-import dmriprep
+import dmriprepoc
 
 # -- General configuration ---------------------------------------------
 
@@ -47,7 +47,7 @@
 master_doc = 'index'
 
 # General information about the project.
-project = u'dmriprep'
+project = u'dmriprepoc'
 copyright = u"2018, Anisha Keshavan"
 author = u"Anisha Keshavan"
 
@@ -56,9 +56,9 @@
 # the built documents.
 #
 # The short X.Y version.
-version = dmriprep.__version__
+version = dmriprepoc.__version__
 # The full version, including alpha/beta/rc tags.
-release = dmriprep.__version__
+release = dmriprepoc.__version__
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -101,7 +101,7 @@
 # -- Options for HTMLHelp output ---------------------------------------
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = 'dmriprepdoc'
+htmlhelp_basename = 'dmriprepocdoc'
 
 
 # -- Options for LaTeX output ------------------------------------------
@@ -128,8 +128,8 @@
 # (source start file, target name, title, author, documentclass
 # [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, 'dmriprep.tex',
-     u'dmriprep Documentation',
+    (master_doc, 'dmriprepoc.tex',
+     u'dmriprepoc Documentation',
      u'Anisha Keshavan', 'manual'),
 ]
 
@@ -139,8 +139,8 @@
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    (master_doc, 'dmriprep',
-     u'dmriprep Documentation',
+    (master_doc, 'dmriprepoc',
+     u'dmriprepoc Documentation',
      [author], 1)
 ]
 
@@ -151,10 +151,10 @@
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-    (master_doc, 'dmriprep',
-     u'dmriprep Documentation',
+    (master_doc, 'dmriprepoc',
+     u'dmriprepoc Documentation',
      author,
-     'dmriprep',
+     'dmriprepoc',
      'One line description of project.',
      'Miscellaneous'),
 ]
diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
index a7517461..81890580 100644
--- a/docs/dmriprep.interfaces.rst
+++ b/docs/dmriprep.interfaces.rst
@@ -1,21 +1,21 @@
-dmriprep.interfaces package
+dmriprepoc.interfaces package
 ===========================
 
 Submodules
 ----------
 
-dmriprep.interfaces.fmap module
+dmriprepoc.interfaces.fmap module
 -------------------------------
 
-.. automodule:: dmriprep.interfaces.fmap
+.. automodule:: dmriprepoc.interfaces.fmap
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprep.interfaces.mrtrix3 module
+dmriprepoc.interfaces.mrtrix3 module
 ----------------------------------
 
-.. automodule:: dmriprep.interfaces.mrtrix3
+.. automodule:: dmriprepoc.interfaces.mrtrix3
    :members:
    :undoc-members:
    :show-inheritance:
@@ -24,7 +24,7 @@ dmriprep.interfaces.mrtrix3 module
 Module contents
 ---------------
 
-.. automodule:: dmriprep.interfaces
+.. automodule:: dmriprepoc.interfaces
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
index 4fef8f43..dd17d085 100644
--- a/docs/dmriprep.rst
+++ b/docs/dmriprep.rst
@@ -1,4 +1,4 @@
-dmriprep package
+dmriprepoc package
 ================
 
 Subpackages
@@ -6,32 +6,32 @@ Subpackages
 
 .. toctree::
 
-   dmriprep.interfaces
-   dmriprep.workflows
+   dmriprepoc.interfaces
+   dmriprepoc.workflows
 
 Submodules
 ----------
 
-dmriprep.cli module
+dmriprepoc.cli module
 -------------------
 
-.. automodule:: dmriprep.cli
+.. automodule:: dmriprepoc.cli
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprep.qc module
+dmriprepoc.qc module
 ------------------
 
-.. automodule:: dmriprep.qc
+.. automodule:: dmriprepoc.qc
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprep.utils module
+dmriprepoc.utils module
 ---------------------
 
-.. automodule:: dmriprep.utils
+.. automodule:: dmriprepoc.utils
    :members:
    :undoc-members:
    :show-inheritance:
@@ -40,7 +40,7 @@ dmriprep.utils module
 Module contents
 ---------------
 
-.. automodule:: dmriprep
+.. automodule:: dmriprepoc
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
index 187803f6..66a921ff 100644
--- a/docs/dmriprep.workflows.dwi.rst
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -1,29 +1,29 @@
-dmriprep.workflows.dwi package
+dmriprepoc.workflows.dwi package
 ==============================
 
 Submodules
 ----------
 
-dmriprep.workflows.dwi.base module
+dmriprepoc.workflows.dwi.base module
 ----------------------------------
 
-.. automodule:: dmriprep.workflows.dwi.base
+.. automodule:: dmriprepoc.workflows.dwi.base
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.outputs module
+dmriprepoc.workflows.dwi.outputs module
 -------------------------------------
 
-.. automodule:: dmriprep.workflows.dwi.outputs
+.. automodule:: dmriprepoc.workflows.dwi.outputs
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.tensor module
+dmriprepoc.workflows.dwi.tensor module
 ------------------------------------
 
-.. automodule:: dmriprep.workflows.dwi.tensor
+.. automodule:: dmriprepoc.workflows.dwi.tensor
    :members:
    :undoc-members:
    :show-inheritance:
@@ -32,7 +32,7 @@ dmriprep.workflows.dwi.tensor module
 Module contents
 ---------------
 
-.. automodule:: dmriprep.workflows.dwi
+.. automodule:: dmriprepoc.workflows.dwi
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index 73619ae0..6ad3e485 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -1,29 +1,29 @@
-dmriprep.workflows.fieldmap package
+dmriprepoc.workflows.fieldmap package
 ===================================
 
 Submodules
 ----------
 
-dmriprep.workflows.fieldmap.base module
+dmriprepoc.workflows.fieldmap.base module
 ---------------------------------------
 
-.. automodule:: dmriprep.workflows.fieldmap.base
+.. automodule:: dmriprepoc.workflows.fieldmap.base
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.fieldmap.fmap module
+dmriprepoc.workflows.fieldmap.fmap module
 ---------------------------------------
 
-.. automodule:: dmriprep.workflows.fieldmap.fmap
+.. automodule:: dmriprepoc.workflows.fieldmap.fmap
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.fieldmap.phasediff module
+dmriprepoc.workflows.fieldmap.phasediff module
 --------------------------------------------
 
-.. automodule:: dmriprep.workflows.fieldmap.phasediff
+.. automodule:: dmriprepoc.workflows.fieldmap.phasediff
    :members:
    :undoc-members:
    :show-inheritance:
@@ -32,7 +32,7 @@ dmriprep.workflows.fieldmap.phasediff module
 Module contents
 ---------------
 
-.. automodule:: dmriprep.workflows.fieldmap
+.. automodule:: dmriprepoc.workflows.fieldmap
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.workflows.rst b/docs/dmriprep.workflows.rst
index 8dc264ff..11d0f655 100644
--- a/docs/dmriprep.workflows.rst
+++ b/docs/dmriprep.workflows.rst
@@ -1,4 +1,4 @@
-dmriprep.workflows package
+dmriprepoc.workflows package
 ==========================
 
 Subpackages
@@ -6,16 +6,16 @@ Subpackages
 
 .. toctree::
 
-   dmriprep.workflows.dwi
-   dmriprep.workflows.fieldmap
+   dmriprepoc.workflows.dwi
+   dmriprepoc.workflows.fieldmap
 
 Submodules
 ----------
 
-dmriprep.workflows.base module
+dmriprepoc.workflows.base module
 ------------------------------
 
-.. automodule:: dmriprep.workflows.base
+.. automodule:: dmriprepoc.workflows.base
    :members:
    :undoc-members:
    :show-inheritance:
@@ -24,7 +24,7 @@ dmriprep.workflows.base module
 Module contents
 ---------------
 
-.. automodule:: dmriprep.workflows
+.. automodule:: dmriprepoc.workflows
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/img/dmriprep_icon.svg b/docs/img/dmriprep_icon.svg
index ce8ba162..e6df76d0 100644
--- a/docs/img/dmriprep_icon.svg
+++ b/docs/img/dmriprep_icon.svg
@@ -1,9 +1,9 @@
 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
 <!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
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/2AlwC6QAmAAABFhcWFAYiJycVFAYHBiMiJyY1ETQ2NzYzMhcWFRU2NzYyFhQHBgcBYplAIVAzJNwDCA5ARgwGAwgOQEYNBYhUIzRQHjp6AXCTSiUzRSr7wxgWDxsmECMCLBcXDxslESO/mWIpRTMjQ3UAAAEAKAAAAjIC3QAYAAA3ITIWFhQGBwYjISInJjURNDY3NjMyFxYV2QEQIR4KCgwTIf6YRgwGAwgOQEYNBZQPIDUgBgomECMCLBcXDxslESMAAQAoAAEDPgLcADQAAAEWFhURFAcGIiYmJyY1EQ4EIiYnJyYmJxEUBgcGIyInJiY1ETQ2NzYzMhYXFxM2NzYyAzMIAyYTOiISBQUZYBoKJy0lCAgUdgUDCA8/PQ8IAwMIDz8bJwYG46o5EX8CwQ8YF/3VRQwGCg4NESMBTx+HIg0XFQoLGaMG/q8XFw4bGw4YGAIrFxcPGg0HBv7W4UgbAAEAKAAAAqgC3AAqAAAANjIWFhcWFREUBgcGIyImJwInERQGBwYjIicmJjURNDY2MhYXFhcSFxE0AgsmOSMRBAYDCA5AJx4K4UcDCA5APg4IAxMmPCMHBBPTRwLQDAoODhAj/dUYFg8bDA0BLFz+txgWDxsbDxgXAi4mIwwLBwMX/uFcAVImAAACABn/9ALuAuYACwATAAABMhYQBiAmNTQ+AgIWMjY0JiIGAYCU2tD+0NU8ZIJxc45yc45yAubW/sPf3JhTkWI4/i5vbLZubwACACgAAQJfAt0AGgAiAAAAFAYHBiMjFRQGBwYjIicmNRE0Njc2MzMyFxYCNjQmIyMVMwJfNClTWX0DCA5ARgwGAwgOQNZYUym2OjoffX4CFIJpH0BxFxcPGyURIwIrFxcPG0Af/v0sWC2xAAACABn/9AMvAuYAGQAhAAAlFhcWFAYjIicmJicGIyImNTQ+AjMyFhUUBBYyNjQmIgYCyS4UJDwfEycFLg1ddJvVPGSCRZTa/dxzjnJzjnLHHw4bMVgbAyAISNyYU5FiONakUwVvbLZubwAAAAACACj/+gJoAt0AJQAtAAAlFhUUBwYiJicmJwcjFRQGBwYjIicmNRE0Njc2MzMyFxYWFRQHFiUzMjY0JiMjAlkPPiAnGQYKRB9+AwgOQEYMBgMIDkDYWFMoNEsW/q6AHTo6H358JBAmGg4TChOiAnEXFw8bJREjAisXFw8bQB9qQXFJNZcsWC0AAQAZ//YCLgLpADYAADcmNDc2MhcWFjMyNTQuBDU0NjMyFhcXFhQHBiMiJyYmJyYiBhQeBBQGBwYjIiYnJiczGisZODIONBZdM0xYTDODcTxjExkfGCIkFR8DEQcVQSszTFpMMzQqUVwvVBo1FWcgMyoYMhEfTBcfDh8qW0BYgx8QEx0oIzIUAhAFDR83IgwZJFmCYxs1FxEgHgAAAQAPAAACzALeAB0AABMhMhYWFAYHBiMjERQOAiIuAjURIyImJjQ2NzZYAiwgHgoKDBIhvwMPJj4lDwPAIB4KCgwSAt4PIDQfBgn+CRcWHQwMHRcXAfYPIDQfBgkAAAAAAQAo//QCrgLeACYAAAA2MhYWFxYVERQHBgYiJicmNRE0PgIyFhcWFREUFxYWMzI2NRE0AhEmOSISBAZSKH6ZfSdRAxAmQCYHDB4PPClJSALSDAoODhEj/tKEbDM/QDRqhgEtGBceDAwPFyj+1D03HCJsRwEyJwAAAQAPAAEDAALjACAAAAEWFRQHAQYGIyMiJicBJjU0NzYyFhceBBcTNjc2MgLFOw/+7AstGAoZLQv+7A87ISMSCAkPPkc/BMgIBhI0AtIdIxAg/dAWGxsWAjAgECMdEQgKDB2JmokIAbYTCxsAAQAPAAED2ALjACwAAAEWFRQHAw4CIiYnAwIGBgcGIiYnJwMmNTQ3NjIWFxMTNjc2MhYXExM+AjIDlUMMwAIKKzsrB3VvBA4JF0ApBwfBC0MdLxkKbm0OJRAzLAZzbggKGygC2RgoDST91QcUISEQAVn+uAwWCRceDw8CKyEQKBcKICH+sgFJKhAHIRD+pQFQFxYVAAEAD//2AtYC8AAbAAABFxYUBiInJwcGIiY0NzcnJjQ2MhcXNzYyFhQHAevJIk01I76+JDNPI8nJI041I76+JDNOIgFz3SY0Rija2ihHMifd3SU0Ryja2ihGNiQAAQAP//4CnwLoAB4AAAEWFRQHAxUUDgIiLgI1NQMmNTQ2MhcWFxc3NjYyAm4xF9gDECZAJhAD2BdYJgsRE5ubExwlAs8iIBMi/r2/FxceDAwfFxi9AUMiEyA7CAse+PgeEwAAAAEAGf/+AmoC3gAjAAAlMhYWFAYGBwYjISInJjU0NwEjIiYnJjU0NzY2MyEyFhYUBwECEycjDQoODhAj/mAXFSwMATbmGBcQHRsPFxgBkhcqFwz+yqsTJDgiEgQGDBk2GhABrQMHDj1ADggDGCg2EP5TAAAAAQAo/x4BTQMFAB0AABczMhcWFRQHBiMjIicmNRE0NjYzMzIXFhUUBwYjI8pKGQwUEg8ZmjoNChEkHZoZDBQSDxlJUggMNTMLCRoVKAM6JyMMBw01MwsJAAEAD//IAgEDDgASAAAFASY1NDc2MhYXFhcBFhQGBiImAV/+vQ04Ix8QBwcMAUAOGEEoFggCoRsPIBsQBwgKF/1kJR8YHhcAAAEAD/8eATQDBQAdAAATMhcWFREUBgYjIyInJjQ2NzYzMxEjIicmNDY3NjPiOw0KESMdmi4IBAgJDxlKSS4IBAgJDxkDBRsUJ/zGKCMMHhAzIAYJAscfDzMgBgkAAQApAPgB5QIgABsAABM2MzIzMhcXFhYUDgIjIicnBwYGIi4CNTQ31xcTBgUUGJMQCgYuGggMGWNiDw4QGy4GGgIHGRmUDw8PGi4GGWNjDwoGLhoHDhgAAAEAD/8cAyv/pgARAAAXIicmNDY3NjMhMhcWFAYHBiNMMAgFCQoRGgKhMAgFCQoPHOQdDzIeBggeDzEeBggAAAABAGECOgGJAwUAEwAAAAYiJycmJjQ3Njc2MzIWFhcWFAYBagwXFaUaEggRFggECoBGBxYQAkYMBjQJFB4bMwYCKBYDCyowAAACABkAAgIsAg8AGAAgAAABNjMyHgIVERQGBwYiJicGIiY0NjMyFhYGFjI2NCYiBgF+BkknJg8DAwcObSUDJa2UlVkiOBavNEoxL08xAdc4DB4XF/6iFxcPGhsaNZ7RnRgV+zU2QTg4AAIAKAABAjcDBQAaACIAAAEyFhQGIicGIyInJiY1ETQ2NzYzMhcWFhUVNhIyNjQmIgYUAUlZlZSqJAhOPw4HAwMHDkA/DQgDKAtKNDBQLwIOntGdMDEbDxcXAlUXFw4bGw8XF9Ax/qI2Qjc4QQAAAAABABn/+wHsAhUAJQAANhYyNjMyFxYVFAcGIyInJiY0Njc2MzIWFxcWFxYUBwYjIicmIgbNOD83ER4rFzc5U11WKTQ0KVNeJkgREBIKGhUkIRMjEkM63S8lNR0XJiEoQyBrgWkgQhUKCgwHFDMgNxYRMAAAAAIAHgABAi4DBQAZACEAAAA2Mh4CFREUBgcGIicGIyImNDYzMhc1NDYCMjY0JiIGFAGRJj8mDwMDCA+LCCpLWpSVWUopA4FKMS9QMAL5DAweFxf9qxcXDhsxMJ3RnjLSFxf91DZBODdCAAAAAAIAGf/zAiQCGgAcACQAAAAGIyMUFjMyNzc2MzIXFhUUIyImJyY1NDYzMhcWBzI1NCYiBhUCJD0l7UIhOiELGBAgFw3VSnMgP6N6i0Ei0yYjQUABCTscJgwECy0bE1kzKlFkfpdiNFsgFxw1HgAAAAABAA///wGzAwcALQAAATIXFhQGBwYjJxEUBgYiLgI1ESMmJyY1NDMzNTQ2MzIWFxYVFAcGByIjIhUVAVxFDAYNDhUoQBMnPiUQAyQaCxM7IW5oFxcPGxEOHgkTJQIOJhM+JQgMBP70JiUMDR0YFwEJAgoTNlI1TX0DCA1AMBUQAhk3AAACABn/HQIhAhEAIwArAAAlBiImNDYzMhYWFzY2Mh4CFREUBiMiJjU0NzY2MhcWMzI2NSYWMjY0JiIGAXYmppGSVyI4FQYDI04kDwOgZEyKHhMVHA8wOCYwsjNJMC5OMEIymcyaGRUJHB0MHRYX/mJzjUoeJx4VEAwlPCrKNDU/NzYAAAABACgAAAI1AwUALAAAATIWFRUUBgcGIyInJiY1NTQmIgYHFRQGBwYjIicmJjURNDY3NjMyFxYWFRU2AUxkhQMIDUA9DwgDLkc2BAMIDUA/DgcDAwcOQD8NCAMyAg2YbrAXFw8aGg8YGK8pLisbwhcXDxobDxYYAlYXFw4bGw8XF909AAACACgAAADXAwUAFgAnAAATNDY3NjMyFxYXFhURFAYHBiMiJyYmNRIGIi4CNDY3NjMyFxYWFAYoAwcOQDAUEQEBAwgNQD8OBwOdJj8mDwMDBw5APw0IAwMBtxcXDxoRDh0KE/6iFxcPGhsPFhgCCgwMHhcuFw4bGw8XLhcAAv98/x4A1AMEABIAKAAAEiIuAjQ2NzYzMhcWFhUVFA4CMh4CFREUBiMiJicmNDYyNjURNDacPiQPAwMHDj88DwcDAxBhPiQPA6JhFxYOGitJOBMCWAwdFy4WDhoaDRYWBhYWHFEMHRcX/mR1jAMHDnYeKDQBnCMhAAAAAAEAKP/6AgkDBwAvAAABFxYWFRQHBiMiJycmJicVFAYHBiMiJyYmNRE0Njc2MzIXFhcWFRE2Njc3NjIWFAcBXoUZDR8iGhYnChdgGQMIDUA/DgcDAwcOQDAUEQEBEkkSDCMyQSUBCG4VFgoYKSodBxNfFE0XFw8aGw8XFwJXFxcPGxEOHgkT/sMPSA8IG1EuHwAAAAABACj/+AE4AwcAGgAAEzQ2NzYzMhcWFhURFBYyFhcWFRQHBicmJyY1KAMHDkA9DwgDDCkOChQUGmJNFxwCrxcXDxsbDxgX/jEkEwMHDTo/DhIMCikxawAAAQAoAAADKwIQAD4AABM2MzIXPgIzMhYVFRQGBwYjIicmJjU1NCMiBhUVFAYHBiMiJyYmNTU0IyIVFRQGBwYjIicmJjURNDY3NjIW1C9CZjILH0QkUGwDCA1APw4HAz4jGQMIDkA/DgcDPjwDCA8/Pw4HAwMID3AiAclHVw8hJ3uOrxcXDxscDxcXr1cuKq8YFg8bHA8XF69XV7EXFw8aGw8WGAFgFxcOGyQAAAEAKAABAjYCDwAsAAABMhYVFRQGBwYjIicmNTU0JiIGFRUUBgcGIyInJiY1ETQ2NzYzMhcWFTY2NzYBTWSFAwcOQEcLBi9PMQMIDUA/DgcDAwgOPz0OCgQcDSICD5lusBcXDhslESKwKS4wJ7EXFw4bGw8XFwFiFhcOGRcRGAcaCBcAAAIAGf/3Aj8CGwALABMAABI2MhYVFAYGIiYmNRYyNjQmIgYUGajYplZ7hHxV8UJCPkg+AX+cm3hTgT1Bf1BgMmIwMmEAAgAo/xwCLQIPABgAIAAAFxE0Njc2MhYXNjIWFAYiJxUUDgIiLgISFBYyNjQmIigDBw5qJQMmo5KRpCUDDyQ+JQ8Dry9JMzBNjwJIFxYOGxsaNJrMmi7KFxYdDAwcFgHTQDU0QjUAAAACABn/HAIeAg8AGQAhAAABNjMyHgIVERQOAiIuAjU1BiMiJjQ2MgIyNjQmIgYUAXQGSCYkDwMDDyU+JA8DKElZkJKjV0gwLk0wAdo1DB0WF/24FxYcDAwdFhfKLprMmv6qNT83NUIAAAEAKAAAAboCFAAkAAAAFhQGIyImIgYVFRQGBwYjIicmJzQ1ETQ2NzYzMhcWFT4CMhYBoRkmJBIhNi8DCA8/MBUQAgMHDkA8DwsFEz4vIAIDHUBMECYb0hcXDxoRDh0KEwFfFxcOGxcQEQcUIgUAAAABABn/9wHQAhkAKAAANyY0NzYyFjMyNTQnJicmJjU0MzIXFhQGIyImIyIVFBcWFxYWFAYHBiIsEyYLMVQiPUM/Ph0m2UdLIywXDEEmO0RCPh0nJyNAwS8MNDURMRgTCQkmEk01niIQMEYeFh4JBx8ORWhJEh8AAAABAA8AAAGyAsMAMAAAAScVFBYyFhcWFRQHBgYjIiY1NQYiJjQ2NzYzFzU0Njc2MzIXFhUVNjIWFxYVFAcGBgFaQREvGQ4XHA8XFmhsEywdCgkQGCEDCA1ARA0FLC0XDxobDxcBXgSKGxgDCA02Pw4HA15wlAMiUiUIDQRnFxYNGSUQI2IEAwgNQD8OBwMAAAABACgAAQI2AhAALAAAJSImNTU0Njc2MzIXFhUVFBYyNjU1NDY3NjMyFxYWFREUBgcGIyInJjUGBgcGARJlhQMHDkBGDAYvTzEDCA1APw4HAwMIDz49DgoEHA0iAplurxgWDxsmECOvKS4wJ7EXFw8aGw8XF/6eFhcOGhgRGAcaCRYAAAABAA//+wJvAhkAGgAAARYVFAcDBgYiJicnAyY1NDc2MhYXFzc+AjICOzQUzwosKycICdAUNCYsGQ6DgwsLGCgCAx8jFCP+nREbFQsLAWQhFSQfFhsb/PwTEREAAAEAD//9AwoCFQAzAAABFhUUBgcDBgcGIiYnJyYnDgQHBiImJwMmNTQ3NjIWFhcWFzc2NzYyFhcXFhc3NjMyAspAIAtuDyMPLisHCAgzCicLAw4JGD4qB5cKOSAoGQoDETY7BhAdPCsICDIJPRgwEwILHCkRSxz+9CwSByMSERSIGG0bCRgJGCMSAXAeCSgXDRERCSiUohQPHSAQEYwUpkAAAAAAAQAP//oCKAIXABsAAAEXFhQGIicnBwYiJjQ3NycmNDYyFxc3NjIWFAcBlW8kSDIkbm8kMUkkb28kSTEkb24kMkgkAQhwJDNHJG9vJEczJHBwJDNIJHBwJEgzJAABAA//FAJNAhoAIAAAARYVFAYVAQ4CIicmNTQ3AyY1NDc2Mh4CFz4CNzYyAhI7EP76CAsYJCM7YMcUNiImGAtjLQViBwgNLwIJGiUSIAH9thMUEg8aJBjNAU8hECAgFBARqUkQ1w4KEQAAAAABABkAAAIxAg8AIAAAJTMyFhYUDgIjISImND4CNyMiJyY0NjY3NjMhMhYUBgEvqygjDAweFxf+lyM0NGxYBI05DxEKDg0RIwFFIzQ8sBQmPiYPAzRIM2BNBBMWSCMRBQUySzoAAQAP/x4BbgMFADsAABc3NCc0IyMiJyY0Njc2MzMyNTY1NDYzMhYWFAYHBiMiFRUUBgcHFhYXFgYVFRQXFjIWFxYVFAcGIyImNYIBAjwGIgkFCQgNEQQ/AV1GIR4KCgwTHxQeDg8GGQgUAQUHGxMNFhcSH0ZeHF1AGDAfEDIgBgkxtxVNYg8fMh8GCyeqLEoPDwMeES2iMBgMBwcDBgszNAsJZE8AAAAAAQAo/xgAsQMFABEAABM0NzYyFhcWFREUBwYiJicmNSgdDzEeBggdDzEeBggCr0QMBgwPEyn8wEQMBgwPFCkAAAEAD/8eAW4DBQA5AAA3FxUUBiMiJyY0Njc2MjY2NTUnNDY3Ny4CNTc0JyYiLgI0Njc2MzIWFRcUMzMyFxYUBgYjIyIVBvkBXkY4CgUKDBIjBgsBHg8PBxQhAQsEGRMXCgoLEiFGXQE/BCMJBBISDQY8AkFdE09kHhA0HgYJAQ0MGJI3Tw0MBhZMLKohBQEEDR8yHwYJYk3MMR8QOSMFMBgAAAAAAQAxAJ4CPQF6ACMAAAEWFRQOBCImJiIHBhUGIiY1NDY2NzYzMhYXFjMyNzc2MgIOLxQIHiQ9STsnFwgNHzVGHR4SMEIeMw0iDxkIAx8yAWggGw8hDSIaFR8gBAcFMDsTEC8hDCITCx8LBC4AAgAo/xwA5AH+AAsAHwAAEiY1NDc2MhYVFAcGBjIeAhURFA4CIi4CNRE0NjZPJxYYZycWGE9AJg8DAxAnQCYPAwMQAUIoODoQEig3OxASTQoaFBX+wxUVGgsLGxUVAT0VFBkAAAEAGf+vAZkCmwAxAAA2FjI2MzIXFhUUBwYHFRQGBiImJyY1NSYmNDY3NTQ3NjIWFxYVFRYXFhQHBiMiJyYiBq0vNCoQGSMTLRgmDBkqGQUHRF1eQxgNKhkFBykrFhEdHBAbEDcv+yceKxcUHxsRCVAiHQoKDREiURVuo24UXzsKBQoNESNcCiAPKxstEg4nAAEADwAAApQC3wBCAAAlITIWFhQGBwYjISImNTQ2NjU0JyMiJyY0Njc2MzMmNTQ2NjMyFxYXFxYUBiInJiYjIgYVFRQXMzIXFhUUBwYjIxYUASoBGCUiCwwOEyb+YCAxICEJPDEIBAkMDyAXAT+NUm1OFgQKGzs+Fgk+IEk3A2UdDRUTDxxFBqMRJDojBwooKhgoNikOJB0PLx0GCAoTTINKNQ8FCSE5NRwMFkctCg8GBwwxLgsJHjwAAAAAAgAZAAUCjAMEADoAQwAAJRYXFhQGIicmJyYjIyIHBwYGIicmNTQ3NjcmNDcuAjU0NjIeBTMzMjc3NjYyFxYVFAcGBxYUBTI2NCYiBhUUAjwHGDFDKhcEDQ+SFIAUEA8VHBwpECEhPT0LLBhAHRMJDg4OUEEMjQ8PEBYcGycPISE9/tZITUqMSL8EHTszKykEFh4dHBoODxccERk6FUn0SwcwMw4bKQ4NGBYKDx4ZGg4PFxwQGjgWSfUVPaFAQU2QAAAAAAEADwABApYC4QBEAAAANjIWFRQHBzMyFxYUBgcGIyMVMzIXFhQGBwYjIxQHBiImJyY1IyImJjQ2NjMzNSMiJiY0Njc2MzMnJjU0NjIWFhcXNzYCBBcnVBmaDy0KEgoLESBKRy0KEgoLESBKKRI7JQgNSxYYFxoYGEZLFhgXDA0THg6dF1YmFw0LmZkLAtIPOh8UJuUJEDEXBAdCCRAwFwUGPQ0FCwwVIwQZMhkDQgQZLBgEB+ojER87DxEQ9fUQAAIAKP8hAK8DBQARACMAADc2MhYXFhURFAYGIiYnJjURNBIyFhcWFREUBwYiJicmNRE0N0YPLx4FCA4eMB0GCCwwHQYIHQ8vHgYIHuIGDQ0UE/7PKCEMDA8TKAEwLgIwDA8TKP7QLQwHDQwTFAExQwwAAAAAAgAZ/x4CFwMAAD0ASAAAJRYVFAYHBiMiJyYnJyY1NDc2MhcXFhYzMjU0Jy4ENTQ3JjQ2MzIWFxcWFAcGIyInJiMiBhQeBBQnNjU0JyYnBgYVFAHqLTInUFdaPTIUCBkpGDUoCA0zFVlBHUVGOiQxMX1sOV8TFx4YISIdHxowFykxSVVJMc8lICInFSGMMFU9Xxk0JiAbCx8UHyYXKAgRHUkjEggRHSxPNU04M6t+Hg4THCUiMR0ZHTUhCxgjVJANES8bDg0KAxwcNAAAAgAoAlMB6QMFAA8AHwAAEiIuAj4DMh4CFAYGFiIuAjQ+AjIeAhQGBqFAJhADAQMPJ0AmEAMDEOdAJhADAxAnQCYQAwMQAlMMHxcxFR4MDB8XLxceDAwfFzAXHQwMHxcvFx4AAAMAGQBgAq4C6wANABcAOAAAARYVFA4CIyInJhA2IBM2ECYgBwYQFiADJiIGFBYzMjYyFhcWFRUGBwYjIiY1NDYzMhcWFRQHBiICVlggT3dlpkpaqQFIDUBt/vs2P3EBATkcSDY4IhwnGQkNEwETMzhSd29QSS0UHgsVAqBVpzyBWC9IVwFRm/35NwEKcTE5/vRrATIYMVQwHQYPGRIEEA0kbV1HdCcRCSIYCQACABkBUQGVAskAFgAeAAABNjMyFxYVFRQGBiMiJwYiJjQ2MzIXFgYWMjY0JiIGARgGMzILBwQdHjgFGX5pakAYFB53JjUiITkjAqEoEw8d+hcVEyYmcpVxCQzAJScuKCgAAAAAAgAPAAICjQIKABYALQAAJRYWFxYUBiInJyY0Nzc2MhYVFAYGBwcFFhYXFhQGIicnJjQ3NzYyFhUUBgYHBwE3AhUEDz4sH60cHK8dLT0TEwN0AZ4CFQUOPiwfrRwcrx0tPhQSBHSTAhQFECg+H6wcOhyuHT0YERURBHRzAhQFECg+H6weOhquHT4XEhQRBHQAAQAPAH0B/wG4ABgAAAEWFhUVFAcGIiYnJjU1ISInJjQ+AjMhMgHZGQ0dDzAdBgj+2jMLBQsZEREBYhgBtAYeG7YzCgULDBQbSSUTPSUPAwAEABkAYAKuAusAHAAkADIAOwAAAR4CFAYiJyYnBiMjFRQGBiImJjURNDYzMzIWFCY2NiYjIxUzNxYVFA4CIyInJhA2IAUGEBYgNhAmIAHdGAgJJTMKDRYKEx4EGC8YAxcmUzpYfxgBGRIrLeNYIE93ZaZKWqkBSP6lP3EBAHZt/vsBfzgTEhkfGRo2ATMQERAREBABIRUVS3gSEyMVS+dVpzyBWC9IVwFRm4Y5/vRrbwEBcQACABkBlwF+AwAABwAPAAASNjIWFAYiJjYyNjQmIgYUGW2MbG+Hb5wsKiguKQKZZ2agY2UPIEEgIUAAAAACABkAAQHgAh8AKAA6AAABMhYWFAYHBiIjIxUUBgYiJicmNTUjIicmNDY3NjMzNTQ2NjIWFxYVFRMhIicmNDY3NjMhMhcWFAYHBgGVIh8KCgwRIwJMECE2IAcJTSsNEwsMEyJMECE2IAYKRP7gNQsFCwwUGwEgNQoGCgwQAbAQITYgBgkeIh8KCwwTIh0KEUsgBgokIh8KCwwTIiP+UR0OMR4FCR0PMR4GBwAAAQAZANgBuALvACcAAAEzMhcWFAYHBiMhIiY0PgM1NCYiBwYUBiMiJyY1NDYyFhUUBgcGASNaLgkECQoPGf7vHTUzSUkzHyoNEB0yMQoJb6tyIBkqAWogEDQfBgkjUz4qKDYgDxsOEjkkGRMbT3h0VCZFGCkAAAAAAQAZANABsALvADgAAAEWFAYjIiYnJicnJjU0MzIXFhcWMjc2NTU0JiYiJicmNTQ2NjMzMjU0JiIOAwcGIicmNDYyFhQBeDhuYShDEyoKBRFPMAwNGQsmDhUEGyoPChIUExAELh0jFQgHBQQLNx8WZaZrAe4piWwWECMXCyIfMx0tCwYKEBQEDQwMAgUJLBQWAy0RFgwMFAoFDhkUP2RjfgAAAAABAJcCOQG9AwYAEwAAEwYjIicmNDc2Nzc2MzIXFhQHBgfuDhAeEwgHCRulGgQeEggHCRsCQAc7GCIJDQgzBzsYIQkNCAAAAAABACj/JAIxAhAAMgAAJQYjIiYnFRQOAiIuAjURND4CMh4CFRUUFjI2NTU0PgIyHgIVERQGBwYjIicmAYUlPiElBgMQJj4lDwMDDyY+Jg8DLk8wAw8mPiYPAwMIDUA7DwpFPhcCphcXHAwMHRcXAj4XFh0MDB0XF64pLS8orhcXHQwMHhcX/qUXFw4aFxAAAAABAB7/GAIsAmUAIQAAEyEyFxYVERQHBiImJyY1ESMRFAcGIiYnJjURJiY1ND4C0AEYMQsIHQ8xHgYISh0PMR4GCGxGCiNJAmUbEyn9YEQMBgwPFCkCkP1uRAwGDA8UKQGYAVNaMjgxFAAAAAABABkA1wDUAZIAEAAAExYVFRQGBwYiJjU1NDY3NjLDEQMJD3knAwgPeQF9ETUEGBcQHSY1BBcYDx4AAAABALD/QAF0AB4AHQAAJTIWFAcGIiYnNTQ3NjIXFhYyNjQmIgcGIicmNzY2AQQoSCcfTC8DCxQZDwQGDA8QEQUQGhIKAQM9HjtpHhwgDwQPDBgLAQILGAwFChkRCxsWAAABAA8A2AEZAukAFgAAEzIVERQHBiImJyY1NQYiJjU0Nzc2NzbQSSEQNB8GCRcrNQ8LbwQXAuk9/mYtCQQKCxEW6RAxHBYODGQEFwAAAgAZAUIBngLFAAcADwAAEjYyFhQGIiY2FjI2NCYiBhl3mXV4k3p+LS8uLDIsAldubqxpbDMjI0YhIwAAAgAPAAICjgIKABcAMAAAJTcnJiYnJyY0NjIXFxYUBwcGIiY1NDY2JTcnLgMnJjQ2MhcXFhQHBwYiJjU0NjYBZnN1AhEDCQo+LR+sHR2sHyw+ExX+1nR1AwwHCgMHPy4drRwcsRouPRMVk3N0Ag8DCwwnPh+sHTgdrB8+FxEVFAJzdAMKBwsFCiM/H6wcOhywGj0XERUUAAADADL/4gLWAxAAIAAuAEIAAAA2MhYXFhURFAcGIiYnJjU1IyImNDc3NjMyFhUHBzM1NAM2MhYVFAcBBwYiJjQ3EzUGIiY0NzY3NjMyFREUBwYiJiYCbxkpGQUHGA0pGQUHlBUaBSoKHiAsCRpDZA0ZMAf+fQILGDAHFBMiKhVYAxIXORkNLxoEAZ0HCAkNF/7BIwcDCAcLFEQZKxapLRkUMGWOGAFwFxoPBwz9JQMUGRgMAW26DScqEk8DEjD+vCQGBBAQAAAAAAMAMv/iAugDEAAlADMARwAAJTMyFxYUBgYjIyImNDY2NzY1NCYiBwYUBgYiJiY1NDYyFhUUBwYDNjIWFRQHAQcGIiY0NxM1BiImNDc2NzYzMhURFAcGIiYmAnJHIwgEDxAQ2BcqKDodRRghCg0GHTUZA1iGWi0gjA0ZMAf+fQILGDAHFBMiKhVYAxIXORkNLxoEdBgNMBoEG0IxIg8lLw0UCw8jFREVExE+X1xCPiseAnYXGg8HDP0lAxQZGAwBbboNJyoSTwMSMP68JAYEEBAAAAAAAwAy/+IDDgMQADIAUwBhAAABFhQGIyInJiY1NDMyFx4CFxYyNjQmJyYiLgI0NjYzMzI1NCYiBgcGFQYiJjQ2MhYUBDYyFhcWFREUBwYiJicmNScjIiY0Nzc2MzIWFQcHMzU0AzYyFhUUBwEHBiImNDcBSCxXTU0xChY+KQkBAwkFDSQcAgQILgwOBg8PDQQkFxwRAgkNLypQg1UBOxopGQUHGA0pGQUHAZMVGgUqCh4gLAkaQmMNGTAH/n0CCxgwBwI1IGxWNwwuFykdBQoNBQsVGggFCgIIFCARAyQOEAkFEQQWJDFPTmSxBwgJDRf+wSMHAwgHCxREGTEQqS0ZFDBljRkBcBcaDwcM/SUDFBkYDAAAAgAZ/yIB8AISACoAOAAAJRYVFA4FIyImNTQ2NzY3NzQ+AjIWFxYVFRQOAhQWMjY3NzY2MgIGIiY1NTQ2NzYyFhUUAa5CCgIIIy1SMmqFHxYsJhADDyM6IgcKMToxJUojBAMIGCdIKVcnAwgQeScdGiEUFAcVNCchiForSRUqDQYSERUJCQwRIwgrMhElQSQYDAsZHAE/DiYpEBgXEB0oNycAAAADAA//9gLuA8EAEgAuADEAAAEiJycmJjQ3NjMyFxcWFxYUBwYHARYVFAcGIiYmJychBw4CIicmNTQ3ATY2MzIDBzMBvgkVpRsQCBMeBBqlDggVCBMNAQ4ROiInGQsKNP7rNAoLGSciOhEBDgstGTY3QoUC9Ac0CBYhGDsHMwUECi0YO0v90iIRJB0REhQUbGwUEhMRHCQRIgIvFxz+3IkAAwAP//YC7gPOABMALwAyAAABMAciJyY0NzY3NzYzMhcWFAcGBwcBFhUUBwYiJiYnJyEHDgIiJyY1NDcBNjYzMgMHMwFhHh4TCAYKG6UaBB4SCAYKGzYBDhE6IicZCwo0/us0CgsZJyI6EQEOCy0ZNjdChQMIBzsYIgkNCDMHOxghCQ0Ik/3SIhEkHRESFBRsbBQSExEcJBEiAi8XHP7ciQAAAAADAA//9gLuA84AFwAzADYAAAEXFhYVFAcGIyInJwciMQYjIicmNTQ3NxMBFhUUBwYiJiYnJyEHDgIiJyY1NDcBNjYzMgMHMwGAF11TCxoiCRdgXQEUDSYYDCaLZwEOEToiJxkLCjT+6zQKCxknIjoRAQ4LLRk2N0KFA84FHhwjExU1ByooBzMaECANLv7g/dIiESQdERIUFGxsFBITERwkESICLxcc/tyJAAAAAwAP//YC7gPNACAAPAA/AAABFhUUDgIHBiImJiMiBwYiJjQ+Ajc2MhYWMzI3NjMyAwEWFRQHBiImJicnIQcOAiInJjU0NwE2NjMyAwczAiIkEAYWDiZOLR0JDgwXJzcQBhcOJVAsHAkQChUYDz4BDhE6IicZCwo0/us0CgsZJyI6EQEOCy0ZNjdChQO+GRcOGgscCxwaGgwoMB8aCxsLGxkZDCb+3P3SIhEkHRESFBRsbBQSExEcJBEiAi8XHP7ciQAAAAQAD//2Au4DzQAPAB8AOwA+AAAAIi4CPgMyHgIUBgYWIi4CND4CMh4CFAYGBwEWFRQHBiImJicnIQcOAiInJjU0NwE2NjMyAwczARpAJhADAQMPJ0AmEAMDEOdAJhADAxAnQCYQAwMQgAEOEToiJxkLCjT+6zQKCxknIjoRAQ4LLRk2N0KFAxsMHxcxFR4MDB8XLxceDAwfFzAXHQwMHxcvFx5+/dIiESQdERIUFGxsFBITERwkESICLxcc/tyJAAMAD//2Au4DlwAdACUAKAAAEjYyFhQHARYVFAcGIiYmJychBw4CIicmNTQ2ASY2MjY0JiIGFBMHM/1PZU4zAREROiInGQsKNP7rNAoLGSciOhEBETRsKignLCc9QoUDTklIeSf9zCIRJB0REhQUbGwUEhMRHCQRIQI1JgQfPR4fPf7CiQAAAAACAAD/9wRjAt4ALwAzAAAlITIXFhUUBwYjISImNTUhBwYiJjQ3NgE2MyEyFhcWFRQHBiMhFTMyFhYUDgIjIyUzNQYC2gE3JREcJREj/nYkNP7lbiE+QCFAAbgZJwGyFxcPGxkVJf7KwygkDAwdGBjC/rmVBLIKET5GDQU2JDp5JU0vJUUB5xoDCA5APg8LZRQmPiYQAxKkBQAAAAABABn/PwKOAuYASwAABTY3JicmJjQ2Njc2MzIWFxcWFxYUBwYjIicmIyIHBgYUFhcWMzI2PwI2MzIXFhQGBgcGBxYUBiMiJyYnJzQ2MhYXFjI2NCYiBiImATUDD25bLjc0UTRhZS9gGRkRChoVJh8RIypGQT8eKCggPkAfNwwMByAQHiQWEhESOFQmRScaDiYCAR4VDgQEEA8PERIfFxsSCRhWLIifgFIdNh4ODwwHFDUdNhYiLRZQZVEXLBAICQQVOCMkGg0LKA4fZDkHExMFDCQJAQQMFgwOKQAAAgAoAAACZQPBACoAPAAANyEyFhcWFRQHBiMhIicmNRE0NjMhMhYXFhUUBwYjIRUzMhYXFhUUBwYjIxMnJyYmNDc2MzIXFxYXFhQHBtkBNBcXDxslESP+dEYMBiY1AYoXFw8bJREj/s3GFxcPGyYRI8TQHqUbEAgTHgQapQ4HFggTsQMIDkBGDAYmECMCLDMlAwgOQEYMBmUDCA5ARgwGAd4HNAgWIRg7BzMFBAotGDsAAAAAAgAoAAACZQPOACoAPgAANyEyFhcWFRQHBiMhIicmNRE0NjMhMhYXFhUUBwYjIRUzMhYXFhUUBwYjIxMGIyInJjQ3Njc3NjMyFxYUBwYH2QE0FxcPGyURI/50RgwGJjUBihcXDxslESP+zcYXFw8bJhEjxEcOEB4TCAcJG6UaBB4SCAcJG7EDCA5ARgwGJhAjAiwzJQMIDkBGDAZlAwgOQEYMBgHyBzsYIgkNCDMHOxghCQ0IAAAAAAIAKAAAAmUDzgAqAEIAADchMhYXFhUUBwYjISInJjURNDYzITIWFxYVFAcGIyEVMzIWFxYVFAcGIyMTFxYWFRQHBiMiJycHIjEGIyInJjU0NzfZATQXFw8bJREj/nRGDAYmNQGKFxcPGyURI/7NxhcXDxsmESPEaxddUwsaIgkXYF0BFA0mGAwmi7EDCA5ARgwGJhAjAiwzJQMIDkBGDAZlAwgOQEYMBgK4BR4cIxMVNQcqKAczGhAgDS4AAwAoAAACZQPNACoAOgBKAAA3ITIWFxYVFAcGIyEiJyY1ETQ2MyEyFhcWFRQHBiMhFTMyFhcWFRQHBiMjEiIuAj4DMh4CFAYGFiIuAjQ+AjIeAhQGBtkBNBcXDxslESP+dEYMBiY1AYoXFw8bJREj/s3GFxcPGyYRI8QJQCYQAwEDDydAJhADAxDnQCYQAwMQJ0AmEAMDELEDCA5ARgwGJhAjAiwzJQMIDkBGDAZlAwgOQEYMBgIFDB8XMRUeDAwfFy8XHgwMHxcwFx0MDB8XLxceAAAC/88AAAD2A8EAEwAlAAATNDY3NjMyFxYVERQGBwYjIicmNRMnJyYmNDc2MzIXFxYXFhQHBi0DCA5ARgwGAwgOQEYNBZAepRsQCBMeBBqlDgcWCBMChRcXDxslESP91BgWDxsmECMCmwc0CBYhGDsHMwUECi0YOwACABcAAAE9A84AEwAnAAATNDY3NjMyFxYVERQGBwYjIicmNRMGIyInJjQ3Njc3NjMyFxYUBwYHLgMIDkBGDQUDCA5ARgwGQA4QHhMIBwkbpRoEHhIIBwkbAoUXFw8bJREj/dQYFg8bJhAjAq8HOxgiCQ0IMwc7GCEJDQgAAv+/AAABTwPOABMAKwAAEzQ2NzYzMhcWFREUBgcGIyInJjUTFxYWFRQHBiMiJycHIjEGIyInJjU0NzcuAwgOQEYNBQMIDkBGDAZaF11TCxoiCRdgXQEUDSYYDCaLAoUXFw8bJREj/dQYFg8bJhAjA3UFHhwjExU1ByooBzMaECANLgAAA/+oAAABaQPNABMAIwAzAAATNDY3NjMyFxYVERQGBwYjIicmNQIiLgI+AzIeAhQGBhYiLgI0PgIyHgIUBgYvAwgOQEYMBgMIDkBGDQUOQCYQAwEDDydAJhADAxDnQCYQAwMQJ0AmEAMDEAKFFxcPGyURI/3UGBYPGyYQIwLCDB8XMRUeDAwfFy8XHgwMHxcwFx0MDB8XLxceAAAAAgAZAAEC7gLeABsALgAAExcyFhAGIyMiJyY1NSMiJyY0Njc2MzM1NDY3NhMjFTMyNjQmIyMVMzIXFhQGBwbIuZHc15m3PQ8MGS4KBQoLERgYAwgOsBhhSHRxTGAZLgoFCQsOAt4B0f7P2hkVK9MdDzAdBgjSGBYPG/5Pe2uibXgdDzAdBggAAAIAKAAAAqgDzQAqAEsAAAA2MhYWFxYVERQGBwYjIiYnAicRFAYHBiMiJyYmNRE0NjYyFhcWFxIXETQTFhUUDgIHBiImJiMiBwYiJjQ+Ajc2MhYWMzI3NjMyAgsmOSMRBAYDCA5AJx4K4UcDCA5APg4IAxMmPCMHBBPTRxQkEAYWDiZOLR0JDgwXJzcQBhcOJVAsHAkQChUYDwLQDAoODhAj/dUYFg8bDA0BLFz+txgWDxsbDxgXAi4mIwwLBwMX/uFcAVImAREZFw4aCxwLHBoaDCgwHxoLGwsbGRkMJgAAAwAZ//QC7gPBAAsAEwAmAAABMhYQBiAmNTQ+AgIWMjY0JiIGEyInJyYmNDc2MzIXFxYXFhQHBgGAlNrQ/tDVPGSCcXOOcnOOcv4JFaUbEAgTHgQapQ4IFQgTAubW/sPf3JhTkWI4/i5vbLZubwEuBzQIFiEYOwczBQQKLRg7AAADABn/9ALuA84ACwATACYAAAEyFhAGICY1ND4CAhYyNjQmIgYTByInJjQ3Njc3NjMyFxYUBwYHAYCU2tD+0NU8ZIJxc45yc45ykx4eEwgGChulGgQeEggGChsC5tb+w9/cmFORYjj+Lm9stm5vAUIHOxgiCQ0IMwc7GCEJDQgAAAMAGf/0Au4DzgALABMAKwAAATIWEAYgJjU0PgICFjI2NCYiBhMXFhYVFAcGIyInJwciMQYjIicmNTQ3NwGAlNrQ/tDVPGSCcXOOcnOOcrwXXVMLGiIJF2BdARQNJhgMJosC5tb+w9/cmFORYjj+Lm9stm5vAggFHhwjExU1ByooBzMaECANLgADABn/9ALuA80ACwATADQAAAEyFhAGICY1ND4CAhYyNjQmIgYBFhUUDgIHBiImJiMiBwYiJjQ+Ajc2MhYWMzI3NjMyAYCU2tD+0NU8ZIJxc45yc45yAXMkEAYWDiZOLR0JDgwXJzcQBhcOJVAsHAkSCBUYDwLm1v7D39yYU5FiOP4ub2y2bm8B+BkXDhoLHAscGhoMKDAfGgsbCxsZGQwmAAAAAAQAGf/0Au4DzQALABMAIwAzAAABMhYQBiAmNTQ+AgIWMjY0JiIGEiIuAj4DMh4CFAYGFiIuAjQ+AjIeAhQGBgGAlNrQ/tDVPGSCcXOOcnOOck5AJhADAQMPJ0AmEAMDEOdAJhADAxAnQCYQAwMQAubW/sPf3JhTkWI4/i5vbLZubwFVDB8XMRUeDAwfFy8XHgwMHxcwFx0MDB8XLxceAAABABkAHgHwAfMAGwAAARcWFAYiJycHBiImNDc3JyY0NjIXFzc2MhYUBwF0WyE/MSBcWyAxPyFbXCBBMCBaWyAwQSIBCVshMD8gXFwgPzAhW1wgLUEgW1sgQS0iAAMAGf/IAu4DDgAfACYALAAABQYjIiYmNDc3JiY0PgIyFzY3NjIXFhUUBxYVFAYjIgIGFBcTJiMXNCcDNjYBNhIkFEIXDARBSTxkgnctEBQIHyM2En3QlSYncimdBAi5IJZHbwI2HhccJAg0mamRYjgNKQgEEBofEyhwrpnfAkFvpDQBRgHIQDD+yAJsAAAAAAIAKP/0Aq4DwQAmADgAAAA2MhYWFxYVERQHBgYiJicmNRE0PgIyFhcWFREUFxYWMzI2NRE0LwImJjQ3NjMyFxcWFxYUBwYCESY5IhIEBlIofpl9J1EDECZAJgcMHg88KUlIcB6lGxAIEx4EGqUOBxYIEwLSDAoODhEj/tKEbDM/QDRqhgEtGBceDAwPFyj+1D03HCJsRwEyJ0IHNAgWIRg7BzMFBAotGDsAAAACACj/9AKuA84AJgA5AAAANjIWFhcWFREUBwYGIiYnJjURND4CMhYXFhURFBcWFjMyNjURNCcHIicmNDc2Nzc2MzIXFhQHBgcCESY5IhIEBlIofpl9J1EDECZAJgcMHg88KUlIoB4eEwgGChulGgQeEggGChsC0gwKDg4RI/7ShGwzP0A0aoYBLRgXHgwMDxco/tQ9NxwibEcBMidWBzsYIgkNCDMHOxghCQ0IAAAAAAIAKP/0Aq4DzgAmADwAAAA2MhYWFxYVERQHBgYiJicmNRE0PgIyFhcWFREUFxYWMzI2NRE0AxcWFhUUBwYjIicnBwYjIicmNTQ3NwIRJjkiEgQGUih+mX0nUQMQJkAmBwweDzwpSUiEF11TCxshCRdgXQ4UJhgMJosC0gwKDg4RI/7ShGwzP0A0aoYBLRgXHgwMDxco/tQ9NxwibEcBMicBHAUeHCMTFTUHKigHMxoQIA0uAAMAKP/0Aq4DzQAmADYARgAAADYyFhYXFhURFAcGBiImJyY1ETQ+AjIWFxYVERQXFhYzMjY1ETQ2Ii4CND4CMh4CFAYGBCIuAj4DMh4CFAYGAhEmOSISBAZSKH6ZfSdRAxAmQCYHDB4PPClJSBVAJhADAxAnQCYQAwMQ/stAJhADAQMPJ0AmEAMDEALSDAoODhEj/tKEbDM/QDRqhgEtGBceDAwPFyj+1D03HCJsRwEyJ2kMHxcwFx0MDB8XLxceDAwfFzEVHgwMHxcvFx4AAAACAA///gKfA84AHgAyAAABFhUUBwMVFA4CIi4CNTUDJjU0NjIXFhcXNzY2MiUGIyInJjQ3Njc3NjMyFxYUBwYHAm4xF9gDECZAJhAD2BdYJgsRE5ubExwl/ugOEB4TCAcJG6UaBB4SCAcJGwLPIiATIv69vxcXHgwMHxcYvQFDIhMgOwgLHvj4HhMgBzsYIgkNCDMHOxghCQ0IAAACACgAAQJfAt0AHwAnAAATNDY3NjMyFxYVFTMyFxYWFAYHBiMjFRQGBwYjIicmNSQ2NCYjIxUzKAMIDkBGDQV+WFMpNDQpU1l9AwgOQEYMBgFNOjoffX4ChRcXDxslESMMQB9qgmkfQAwXFw8bJREjvCxYLbEAAAABACj/4AJgAvAANAAAAAYUHgMVFCMiJiY0NzYzMhYzMjU0LgI0Njc2NTQjIhURFA4CIi4CNRE0NjYzMhUUAdwqJDMzJLckWSYHDyANRA0iND40Fw0lMFoDDyY+JQ8DKIBd2gHiLB8iICpKMbMOGjUcOhs3DyclR084DiYbGU7+JhcWHAwMHRcXAc9VWjuKNgADABkAAgIsAwYAGAArADMAAAE2MzIeAhURFAYHBiImJwYiJjQ2MzIWFjciJycmJjQ3NjMyFxcWFxYUBwYCFjI2NCYiBgF+BkknJg8DAwcObSUDJa2UlVkiOBYbDhClGxAIEx4EGqUOCBUIE+g0SjEvTzEB1zgMHhcX/qIXFw8aGxo1ntGdGBVYBzQIFiEYOwczBQMLLRg7/q01NkE4OAAAAwAZAAICLAMGABgAKwAzAAABNjMyHgIVERQGBwYiJicGIiY0NjMyFhYnByInJjQ3Njc3NjMyFxYUBwYHAhYyNjQmIgYBfgZJJyYPAwMHDm0lAyWtlJVZIjgWbh4eEwgGChulGgQeEggGChvlNEoxL08xAdc4DB4XF/6iFxcPGhsaNZ7RnRgVXwc7GCIJDQgzBzsYIQkNCP5yNTZBODgAAAMAGQACAiwDBgAYACAANgAAATYzMh4CFREUBgcGIiYnBiImNDYzMhYWBhYyNjQmIgYTFxYWFRQHBiMiJycHBiMiJyY1NDc3AX4GSScmDwMDBw5tJQMlrZSVWSI4Fq80SjEvTzF/F11TCxshCRdgXQ4UJhgMJosB1zgMHhcX/qIXFw8aGxo1ntGdGBX7NTZBODgB3gUeHCMTFTUHKigHMxoQIA0uAAAAAAMAGQACAiwDBQAYACAAQgAAATYzMh4CFREUBgcGIiYnBiImNDYzMhYWBhYyNjQmIgYBFhUUDgIHBiImJiMiBwYiJjQ+Ajc2MzIXFjMyNzYzMgF+BkknJg8DAwcObSUDJa2UlVkiOBavNEoxL08xASEkEAYWDiZOLR0JDgwXJzcQBhcOJTIuKg4JEggVGA8B1zgMHhcX/qIXFw8aGxo1ntGdGBX7NTZBODgBzhkXDhoLHAscGhoMKDAfGgsbCxslDQwmAAAEABkAAgIsAwUAGAAgADAAQAAAATYzMh4CFREUBgcGIiYnBiImNDYzMhYWBhYyNjQmIgYSIi4CPgMyHgIUBgYWIi4CND4CMh4CFAYGAX4GSScmDwMDBw5tJQMlrZSVWSI4Fq80SjEvTzEWQCYQAwEDDydAJhADAxDnQCYQAwMQJ0AmEAMDEAHXOAweFxf+ohcXDxobGjWe0Z0YFfs1NkE4OAErDB8XMRUeDAwfFy8XHgwMHxcwFx0MDB8XLxceAAAEABkAAgIsAu8ABwAPACgAMAAAEjYyFhQGIiYWMjY0JiIGFBc2MzIeAhURFAYHBiImJwYiJjQ2MzIWFgYWMjY0JiIG4j9QPT9NQFUiHx4jH2YGSScmDwMDBw5tJQMlrZSVWSI4Fq80SjEvTzECtTo5Wjg5AxgwGBkvmzgMHhcX/qIXFw8aGxo1ntGdGBX7NTZBODgAAwAZ//cDdQIXADUAPgBGAAAlNjMyFxYUDgMHBiMiJwcGBiMiNTQ2Mhc1JiMiBiImNDY2MzIXNjMyFhcWFAYjIxQWMzI3BTI2NycmIhUUJCYiBhUzMjUC8BoNIRYNFhQRAwFFTolMAidhW7Z0ri4KSixCPUNAakFoS013Ol8bOD0l6UEgOyD+DyZJEwMulAIYIz8/fiOfCisaJhsJBgEBGVUEKCueQUIfBnZGUDQ7KUhFJx8/hTkcJgwuHRgJEiIu8xw0Hh8AAAABABn/QAHzAhoAPwAAFzY3JiY1NDY3NjMyFhcXFhcWFAcGIyInJiIGFBYyNjMyFxYVFAcGBxYUBiMiJyYnJzQ2MhYXFjI2NCYiBwYiJskDDVFvNClXXidIERETCRsWJCITIxNEOjlANxEeLRc3IDMjRykbDicCAR8WDgQEEQ8PEQUQGxsVEQoah2RAayBEFAoLDAcVMiM3FhEvVzAlNh0YJSMWCx9lOwgUEwUMJQkBBAwXDAUKKgAAAwAZ//MCJAMGABEALgA2AAABJycmJjQ3NjMyFxcWFxYUBwYSBiMjFBYzMjc3NjMyFxYVFCMiJicmNTQ2MzIXFgcyNTQmIgYVAXsepRsQCBMeBBqlDgcWCBOLPSXtQiE6IQsYECAXDdVKcyA/o3qLQSLTJiNBQAI5BzQIFiEYOwczBQMLLRg7/tA7HCYMBAstGxNZMypRZH6XYjRbIBccNR4AAAADABn/8wIkAwYAEwAwADgAAAEGIyInJjQ3Njc3NjMyFxYUBwYHEgYjIxQWMzI3NzYzMhcWFRQjIiYnJjU0NjMyFxYHMjU0JiIGFQEADhAeEwgHCRulGgQeEggHCRuAPSXtQiE6IQsYECAXDdVKcyA/o3qLQSLTJiNBQAJABzsYIgkNCDMHOxghCQ0I/pU7HCYMBAstGxNZMypRZH6XYjRbIBccNR4AAAADABn/8wIkAwYAFQAyADoAAAEXFhYVFAcGIyInJwcGIyInJjU0NzcABiMjFBYzMjc3NjMyFxYVFCMiJicmNTQ2MzIXFgcyNTQmIgYVASkXXVMLGyEJF2BdDhQmGAwmiwETPSXtQiE6IQsYECAXDdVKcyA/o3qLQSLTJiNBQAMGBR4cIxMVNQcqKAczGhAgDS7+CDscJgwECy0bE1kzKlFkfpdiNFsgFxw1HgAABAAZ//MCJAMFAA8AHwA8AEQAAAAiLgI0PgIyHgIUBgYEIi4CPgMyHgIUBgYABiMjFBYzMjc3NjMyFxYVFCMiJicmNTQ2MzIXFgcyNTQmIgYVAcdAJhADAxAnQCYQAwMQ/stAJhADAQMPJ0AmEAMDEAFEPSXtQiE6IQsYECAXDdVKcyA/o3qLQSLTJiNBQAJTDB8XMBcdDAwfFy8XHgwMHxcxFR4MDB8XLxce/qo7HCYMBAstGxNZMypRZH6XYjRbIBccNR4AAAAC/9EAAAD4AwYAFgAoAAATNDY3NjMyFxYXFhURFAYHBiMiJyYmNRMnJyYmNDc2MzIXFxYXFhQHBigDBw5AMBQRAQEDCA1APw4HA5cepRsQCBMeBBqlDgcWCBMBtxcXDxoRDh0KE/6iFxcPGhsPFhgB4Qc0CBYhGDsHMwUDCy0YOwAAAAACABAAAAE2AwYAFgAqAAATNDY3NjMyFxYXFhURFAYHBiMiJyYmNRMwByInJjQ3Njc3NjMyFxYUBwYHKAMHDkAwFBEBAQMIDUA/DgcDPx4eEwgGChulGgQeEggGChsBtxcXDxoRDh0KE/6iFxcPGhsPFhgB6Ac7GCIJDQgzBzsYIQkNCAAC/7gAAAFIAwYAFgAsAAATNDY3NjMyFxYXFhURFAYHBiMiJyYmNRMXFhYVFAcGIyInJwcGIyInJjU0NzcoAwcOQDAUEQEBAwgNQD8OBwNZF11TCxshCRdgXQ4UJhgMJosBtxcXDxoRDh0KE/6iFxcPGhsPFhgCrgUeHCMTFTUHKigHMxoQIA0uAAAAAAP/nwAAAWADBQAWACYANgAAEzQ2NzYzMhcWFxYVERQGBwYjIicmJjUCIi4CPgMyHgIUBgYWIi4CND4CMh4CFAYGKAMHDkAwFBEBAQMIDUA/DgcDEEAmEAMBAw8nQCYQAwMQ50AmEAMDECdAJhADAxABtxcXDxoRDh0KE/6iFxcPGhsPFhgB+wwfFzEVHgwMHxcvFx4MDB8XMBcdDAwfFy8XHgAAAgAZ//cCMAMmADAAOAAAAQcWERQHBgYiJjU0PgIyFhcmJwcGIicmNTQ3NycuAjQ3NjMyFzc+Ajc2MhcWFAIWMjY0JiIGAYIYxgIGl9KmL0pYWzkeNUsfERgQHQ0XAwEhCw4WHg8yGAIHBAMIFBAbyD5BPzxGPALfIJD+8xAgX5yVczhkQiYYF1soKRcKEREJER8BAREPHhsqFiACCwUDBgsQG/3iLy9gLjAAAAIAKAABAjYDBQAsAE0AAAEyFhUVFAYHBiMiJyY1NTQmIgYVFRQGBwYjIicmJjURNDY3NjMyFxYVNjY3NjcWFRQOAgcGIiYmIyIHBiImND4CNzYyFhYzMjc2MzIBTWSFAwcOQEcLBi9PMQMIDUA/DgcDAwgOPz0OCgQcDSKyJBAGFg4mTi0dCQ4MFyc3EAYXDiVQLBwJEAoVGA8CD5lusBcXDhslESKwKS4wJ7EXFw4bGw8XFwFiFhcOGRcRGAcaCBfnGRcOGgscCxwaGgwoMB8aCxsLGxkZDCYAAAADABn/9wI/AwYACwAdACUAABI2MhYVFAYGIiYmNQEnJyYmNDc2MzIXFxYXFhQHBgIyNjQmIgYUGajYplZ7hHxVAWwepRsQCBMeBBqlDgcWCBOZQkI+SD4Bf5ybeFOBPUF/UAEyBzQIFiEYOwczBQMLLRg7/m4yYjAyYQAAAwAZ//cCPwMGAAsAHgAmAAASNjIWFRQGBiImJjUTByInJjQ3Njc3NjMyFxYUBwYHAjI2NCYiBhQZqNimVnuEfFXuHh4TCAYKG6UaBB4SCAYKG6FCQj5IPgF/nJt4U4E9QX9QATkHOxgiCQ0IMwc7GCEJDQj+MzJiMDJhAAMAGf/3Aj8DBgALABMAKwAAEjYyFhUUBgYiJiY1FjI2NCYiBhQTFxYWFRQHBiMiJycHIjEGIyInJjU0NzcZqNimVnuEfFXxQkI+SD5mF11TCxoiCRdgXQEUDSYYDCaLAX+cm3hTgT1Bf1BgMmIwMmECLgUeHCMTFTUHKigHMxoQIA0uAAMAGf/3Aj8DBQALABMANAAAEjYyFhUUBgYiJiY1FjI2NCYiBhQBFhUUDgIHBiImJiMiBwYiJjQ+Ajc2MhYWMzI3NjMyGajYplZ7hHxV8UJCPkg+AQgkEAYWDiZOLR0JDgwXJzcQBhcOJVAsHAkQChUYDwF/nJt4U4E9QX9QYDJiMDJhAh4ZFw4aCxwLHBoaDCgwHxoLGwsbGRkMJgAAAAAEABn/9wI/AwUACwATACMAMwAAEjYyFhUUBgYiJiY1FjI2NCYiBhQCIi4CPgMyHgIUBgYWIi4CND4CMh4CFAYGGajYplZ7hHxV8UJCPkg+CkAmEAMBAw8nQCYQAwMQ50AmEAMDECdAJhADAxABf5ybeFOBPUF/UGAyYjAyYQF7DB8XMRUeDAwfFy8XHgwMHxcwFx0MDB8XLxceAAADABkAAgHeAiIAEQAfAC0AAAEyFxYUBgcGIyEiJyY0Njc2MxY2MhYVFRQHBiInJjY2EgYiJjY2NzYyFxYVFRQBlTkKBgoMEiL+yzUMBQwNFB1ZI0wiCQ5qEhABA44kTCIBAwcNaBQPAVoeEDQeBgogDzMfBgnBDCItBCMRHBMPRhQBDQwjRRQNGhIPLgQjAAACABn/ZQI/AqsAIgAqAAABFhUUBgYjIicHDgIiJiY0NzcmNDYzMhc3Njc2MhcWFRQHADI2NCYiBhQB6FdWe0EVEzAICRUiQhcMMVioahMUMBMPCB8jNg7+9EJCPkg+AdBQeVOBPQNkERAPHhcoGGZQ7pwDZCYHAxAaHw0l/nYyYjAyYQACACgAAQI2AwYALAA/AAAlIiY1NTQ2NzYzMhcWFRUUFjI2NTU0Njc2MzIXFhYVERQGBwYjIicmNQYGBwYTIicnJiY0NzYzMhcXFhcWFAcGARJlhQMHDkBGDAYvTzEDCA1APw4HAwMIDz49DgoEHA0iSg4QpRsQCBMeBBqlDggVCBMCmW6vGBYPGyYQI68pLjAnsRcXDxobDxcX/p4WFw4aGBEYBxoJFgI3BzQIFiEYOwczBQMLLRg7AAAAAAIAKAABAjYDBgAsAD8AACUiJjU1NDY3NjMyFxYVFRQWMjY1NTQ2NzYzMhcWFhURFAYHBiMiJyY1BgYHBgMHIicmNDc2Nzc2MzIXFhQHBgcBEmWFAwcOQEYMBi9PMQMIDUA/DgcDAwgPPj0OCgQcDSIjHh4TCAYKG6UaBB4SCAYKGwKZbq8YFg8bJhAjrykuMCexFxcPGhsPFxf+nhYXDhoYERgHGgkWAj4HOxgiCQ0IMwc7GCEJDQgAAAAAAgAoAAECNgMGACwARAAAJSImNTU0Njc2MzIXFhUVFBYyNjU1NDY3NjMyFxYWFREUBgcGIyInJjUGBgcGAxcWFhUUBwYjIicnByIxBiMiJyY1NDc3ARJlhQMHDkBGDAYvTzEDCA1APw4HAwMIDz49DgoEHA0iBhddUwsaIgkXYF0BFA0mGAwmiwKZbq8YFg8bJhAjrykuMCexFxcPGhsPFxf+nhYXDhoYERgHGgkWAwQFHhwjExU1ByooBzMaECANLgAAAAMAKAABAjYDBQAsADwATAAAJSImNTU0Njc2MzIXFhUVFBYyNjU1NDY3NjMyFxYWFREUBgcGIyInJjUGBgcGEiIuAjQ+AjIeAhQGBgQiLgI+AzIeAhQGBgESZYUDBw5ARgwGL08xAwgNQD8OBwMDCA8+PQ4KBBwNIplAJhADAxAnQCYQAwMQ/stAJhADAQMPJ0AmEAMDEAKZbq8YFg8bJhAjrykuMCexFxcPGhsPFxf+nhYXDhoYERgHGgkWAlEMHxcwFx0MDB8XLxceDAwfFzEVHgwMHxcvFx4AAAACAA//FAJNAwYAIAAzAAABFhUUBhUBDgIiJyY1NDcDJjU0NzYyHgIXPgI3NjInByInJjQ3Njc3NjMyFxYUBwYHAhI7EP76CAsYJCM7YMcUNiImGAtjLQViBwgNL98eHhMIBgobpRoEHhIIBgobAgkaJRIgAf22ExQSDxokGM0BTyEQICAUEBGpSRDXDgoRKQc7GCIJDQgzBzsYIQkNCAAAAgAo/x4CKwMTABoAIgAAATIWFAYiJxUUBgYiJicmNRE0NjYyFhcWFRU2EjI2NCYiBhQBPVmVlKglESM7IgcKESQ6IwcKKAtKNDBQLwIOntGdLr0nIgwMDhUoA0gnIwwMDxQo3zH+ojZCNzhBAAAAAAMAD/8UAk0DBQAgADAAQAAAARYVFAYVAQ4CIicmNTQ3AyY1NDc2Mh4CFz4CNzYyJCIuAj4DMh4CFAYGFiIuAjQ+AjIeAhQGBgISOxD++ggLGCQjO2DHFDYiJhgLYy0FYgcIDS/+3kAmEAMBAw8nQCYQAwMQ50AmEAMDECdAJhADAxACCRolEiAB/bYTFBIPGiQYzQFPIRAgIBQQEalJENcOChE8DB8XMRUeDAwfFy8XHgwMHxcwFx0MDB8XLxceAAEAKAAAANcCDgAWAAATNDY3NjMyFxYXFhURFAYHBiMiJyYmNSgDBw5AMBQRAQEDCA1APw4HAwG3FxcPGhEOHQoT/qIXFw8aGw8WGAABABkAAAKWAt0AMAAAJSEyFhYUBgcGIyEiJyY1NQcGIyInJjQ2Njc3NTQ2NzYzMhcWFRU3NjMyFxYUBgYHBwE9ARAhHgoKDBMh/phGDAYgFAohDwUREBBCAwgOQEYNBUAUCiEOBRAPEWKUDyA1IAYKJhAjygkGMxQaFQcEEt4XFw8bJREjqhIGMxYZFAYFHAABAA//+AHFAwcAMgAAEzQ2NzYzMhcWFhUVNzYzMhcWFAYGBwcVFBYyFhcWFRQHBicmJyY1NQcGIyInJjQ2Njc3hAMHDkA9DwgDQBQKIQ4FEA8RYgwpDgoUFBpiTRccIhQKIQ8FERAQRAKvFxcPGxsPGBfUEgYzFhkUBgUcdiQTAwcNOj8OEgwKKTFrUAkGMxQaFQcEEwAAAAIAGQAABCsC3QAnAC8AACUyFhcWFRQHBiMhJiYQNjMhMhYXFhUUBwYjIRUzMhYXFhUUBwYjIxUFMxEjBgYUFgPTFxcPGyURI/2jlMjRiwJeFxcPGyURI/7NxhcXDxsmESPE/tZ5eURnaLEDCA5ARgwGCNMBLdUDCA5ARgwGZQMIDkBGDAZlBAGDBmqkaQAAAAMAGP/1A5cCGQAoADAAOAAAJTYzMhcWFA4DBwYjIicGIyImJjU0NjIXNjMyFhcWFAYjIxQWMzI3JDI2NCYiBhQkJiIGFTMyNQMSGg0hFg0WFBEDAUVOeUxRaUN8VajXUE13Ol8bOD0l6EAgOyD+AUJCPkg+AiMjPz9+I58KKxomGwkGAQEZRUlBf1B4nEpFJx8/hTkcJgwKMmIwMmGKHDQeHwAAAgAZ//YCLgPNADYATwAANyY0NzYyFxYWMzI1NC4ENTQ2MzIWFxcWFAcGIyInJiYnJiIGFB4EFAYHBiMiJicmJxMnJicmNTQ3Njc2MzIXFzc2MhcWFhUUBwczGisZODIONBZdM0xYTDODcTxjExkfGCIkFR8DEQcVQSszTFpMMzQqUVwvVBo1FecXXS4lChgaCQQLEmFWGhoHGh4ni2cgMyoYMhEfTBcfDh8qW0BYgx8QEx0oIzIUAhAFDR83IgwZJFmCYxs1FxEgHgKzBR8PCyIRGTECAQYqJgkDCz0TIAwuAAAAAgAZ//cB0AMFABgAQQAAEycmJyY1NDc2NzYzMhcXNzYyFxYWFRQHBwMmNDc2MhYzMjU0JyYnJiY1NDMyFxYUBiMiJiMiFRQXFhcWFhQGBwYi6hddLiUKGBsIBAsSYVYaGgcaHieL1RMmCzFUIj1DPz4dJtlHSyMsFwxBJjtEQj4dJycjQMECRwUfDwsiERkxAgEGKiYJAws9EyAMLv3jDDQ1ETEYEwkJJhJNNZ4iEDBGHhYeCQcfDkVoSRIfAAAAAwAP//4CnwPNAB4ALgA+AAABFhUUBwMVFA4CIi4CNTUDJjU0NjIXFhcXNzY2MiQiLgI+AzIeAhQGBhYiLgI0PgIyHgIUBgYCbjEX2AMQJkAmEAPYF1gmCxETm5sTHCX+qUAmEAMBAw8nQCYQAwMQ50AmEAMDECdAJhADAxACzyIgEyL+vb8XFx4MDB8XGL0BQyITIDsICx74+B4TMwwfFzEVHgwMHxcvFx4MDB8XMBcdDAwfFy8XHgAAAAACABn//gJqA80AIwA8AAAlMhYWFAYGBwYjISInJjU0NwEjIiYnJjU0NzY2MyEyFhYUBwETJyYnJjU0NzY3NjMyFxc3NjIXFhYVFAcHAhMnIw0KDg4QI/5gFxUsDAE25hgXEB0bDxcYAZIXKhcM/somF10uJQoYGwgECxJhVhoaBxoeJ4urEyQ4IhIEBgwZNhoQAa0DBw49QA4IAxgoNhD+UwJkBR8PCyIRGTECAQYqJgkDCz0TIAwuAAAAAAIAGQAAAjEDBQAYADkAAAEnJicmNTQ3Njc2MzIXFzc2MhcWFhUUBwcDMzIWFhQOAiMhIiY0PgI3IyInJjQ2Njc2MyEyFhQGAS4XXS4lChgbCAQLEmFWGhoHGh4nixarKCMMDB4XF/6XIzQ0bFgEjTkPEQoODREjAUUjNDwCRwUfDwsiERkxAgEGKiYJAws9EyAMLv5kFCY+Jg8DNEgzYE0EExZIIxEFBTJLOgABAAD/IAICAuYAMwAAACIHBzcyFxYVFAcGIycDBgYjIiYmNTQ3NjYyNxI3BiImJyY1NDc2NjMXNzY2MzIXFhUUBwHLUAMFQSQQGiMXJ0AnFmhrGhwbBAkvTgMhBgUlFw0XIxAXFxQHCHpnJBAaIgI5GTYFBwsuUBEMA/6jZmIEGhMeCS4iHgEqNAIDBgstUBEIAwIxTHwGDC5REQABAGYCRwH2AwYAFQAAARcWFhUUBwYjIicnBwYjIicmNTQ3NwEvF11TCxshCRdgXQ4UJhgMJosDBgUeHCMTFTUHKigHMxoQIA0uAAAAAQBnAkcB9wMFABgAAAEnJicmNTQ3Njc2MzIXFzc2MhcWFhUUBwcBLhddLiUKGBsIBAsSYVYaGgcaHieLAkcFHw8LIhEZMQIBBiomCQMLPRMgDC4AAQA8Ar8A6wNuABAAABIGIi4CNDY3NjMyFxYWFAbZJj8mDwMDBw5APw0IAwMCywwMHhcuFw8aGw8XLhcAAgA8ApUBPgOXAAcADwAAEjYyFhQGIiYWMjY0JiIGFDxPZU5QYVFsKignLCcDTklIc0dJBR89Hh89AAAAAQCv/z8BdAAeAB0AAAUmIgYUFjMyNzYyFhQHBgcGIiY0NjIXFhQHBiMiJwEtBREQEAcGCAseHwECFyBER0hLFxsKERIJED8FDBcMAwslDwMPEBA7aTsQER4OGgoAAAAAAQBOAlAB3gMFACAAAAEWFRQOAgcGIiYmIyIHBiImND4CNzYyFhYzMjc2MzIBuiQQBhYOJk4tHQkODBcnNxAGFw4lUCwcCRAKFRgPAvYZFw4aCxwLHBoaDCgwHxoLGwsbGRkMJgAAAAABAA8AwQIiAWMAEQAAJSEiJyY0NzYzITIXFhQGBgcGAdb+gR8OGxkTHwF9OQwGCQsMDsEJD3QNCSMRNCAQBQUAAQAPAMECpgFjABAAACUhIicmNDc2MyEyFxYUBgcGAlv9/B8OGxkTHwICOgoGCgwSwQkPdA0JIxE6IwcKAAAAAAEAGQGDANQC3QAZAAASFhUVFAYHBiImNTQ3NjYzMhYUDgMHBgeyIgMID3onAgdaRQcLCQsGDwYRAgI6IikPGBgQHSg4GQxYfRUhFAMBCQgULQAAAAEAGQGDANQC3QAZAAATFhUVFAcGBiMiJjQ+Azc2NyYmNTQ2NjLDEQIHWkUHCwkLBhAGEAIiIRQpVgLIESkQGQxYfhUiEwMBCQgVLAUiNygnDQAAAAEAGf9gANQAugAZAAA3FhUVFAcGBiMiJjQ+Azc2NyYmNTQ2NjLDEQIHWkUHCwkLBhAGEAIiIRQpVqURKRAZDFh+FSITAwEJCBUsBSI3KCcNAAAAAAIAGQGDAckC3QAZADEAABIWFRUUBgcGIiY1NDc2NjMyFhQOAwcGBzMWFhUUBwYiJjU0NzY2MzIWFA4DBwayIgMID3onAgdaRQcLCQsGDwYRAvQhIxUZZycCB1tFBwsJCwYQBhECOiIpDxgYEB0oOBkMWH0VIRQDAQkIFC0DIzc7EBIoOBkMWH0VIRQDAQkIFAAAAAACABkBgwHJAt0AFwAxAAAANjIWFRQHBiMiJjQ+Azc2NyYnJjY2JxYVFRQHBgYjIiY0PgM3NjcmJjU0NjYyASIoWCc3LUUHCwkLBhAGEAIgERIBA04RAgdaRQcLCQsGEAYQAiIhFClWAtANJzhxSz8VIhMDAQkIFSwEEBNPFxgRKRAZDFh+FSITAwEJCBUsBSI3KCcNAAAAAAIAGf9gAckAugAXADEAACQ2MhYVFAcGIyImND4DNzY3JicmNjYnFhUVFAcGBiMiJjQ+Azc2NyYmNTQ2NjIBIihYJzctRQcLCQsGEAYQAiAREgEDThECB1pFBwsJCwYQBhACIiEUKVatDSc4cUs/FSITAwEJCBUsBBATTxcYESkQGQxYfhUiEwMBCQgVLAUiNygnDQABAA//QwIAAusAKQAAATIXFhQGBwYjJxEUDgIiLgI1EQciJyY0Njc2Mxc1ND4CMh4CFRUBsT0MBgsNEyVSAw8mPiUPA1Y6DAYNDhQhUgMQJT4lDwMCASIROSIHCgb+MRcWHQwMHBgXAc4GIhI4IwcJB54WFhwLDB0XF5oAAQAP/0MCAALrAD8AACUyFxYUBgcGIycVFA4CIi4CNTUHIicmNDY3NjMXNQciJyY0Njc2Mxc1ND4CMh4CFRU3MhcWFAYHBiMnFQGxPQwGDQ4UIVIDDyY+JQ8DUz0MBgsNEyVSVjoMBg0OFCFSAxAlPiUPA1M9DAYLDRMlUswiEjgjBwkHmxcWHQwMHBgXmgciETkiBwoGogYiEjgjBwkHnhYWHAsMHRcXmgciETkiBwoGogAAAQAZAKoBPQHOAAMAAAAQIBABPf7cAc7+3AEkAAMAGf//A3YAugAOABwAKQAANxYVFRQGBwYiJjU0NjYyFjYyFhUUBgYiJjU1NDYkNjIWFRQHBiImNTY2wxEDCA96JxQpVtIoWCcUKVcnAwFiKFgnFhhnJwEDpREpEBcYEB0oNygnDQ0NJzgnJw4nKQ8YFyANJzg6EBIoNxgXAAAABwAo/+IEnwMQAAcAEAAYACEAKQAyAEAAAAA2MhYUBiImNzI1NCYiBhQWJDYyFhQGIiY3MjU0JiIGFBYANjIWFAYiJjcyNTQmIgYUFgE2MhYVFAcBBwYiJjQ3A05aoFdXnV2oPBw/HR39+FqhVlaeXag9HT8cHf3PWqBXV51dqDwcPx0eAYsNGTAH/n0CCxgwBwEOZmSxYWUTRCQeH0kemGZksWFlE0QkHh9IHwIEZmSwYWQUQyQeH0cfARYXGg8HDP0lAxQZGAwAAAAAAQAP//8BcAIQABMAABMnNDc3NjIWFAcHFxYUBiInJyY1EAEesB8uRhp5eBtFLx+zGwEHBxUesB9GLRx6dx0vRR+yHRMAAAAAAQAP//4BcAIQABYAAAEWFRQHFhUUBwcGIicmNDc3JyY0NjIXAVIeAQEesh4sJCMedXccRi4fAUEcFQYDAwYVHLEeIyMwHnV4HC9GHwAAAAABACn/2gIIAw8AEAAAADY2MhYUBwEGBwYnJjU0NwEBuQgNDC4K/oAGBA0hHQkBgAMFCQEZHAv9KgwFDhIQDAkSAtYAAAEADwACAksDAgBOAAABFzMyFhYUBgcGIyMWFjMzMhYWFAYHBiMjIi4CJyMiJyY0NjYzMyY1NSMiJyY0NjYzMzY2NzYzMzIeAhQOAiMjIgczMhcWFAYHBiMjAQ4B0BEREgcIDRnADzAeeSgjDAwNFCV/PFs3Mg0pGQsREhIQHgEcGQsREhIQKA5AKUtOfBYXHAsMHhcXeUEZvygIBAcIDRnPAYQgAxkrFwQHLxwTJj0lBwwqNF49BQo/GQMNGxIFCj8ZA0poGS4DECY+Jg8DShcMJRcEBwAAAAIADwDuAyACewAnAEIAAAE2MhYXFhURFAYGIiYmNTUGIyImJycVFAcGIyInJjU2NDY2MzIfAiUyFxYUBiMjFRQHBiImJyY1NSMiJyY0Njc2MwKrEjgdBggEGzkeBSgiECQKCgcMLisJBwEEHxYjEAVT/uwmBgMUG0YaDisbBghFJggECAgLEwJhGQwMFBr+7xITEA8TEmI8Hg8PXhwKEhANGF7MFRkQBXWJGgwzHuApCAQJCQ4W3xkNKhsFBwAAAAEAGQDBAiwBYwARAAAlISInJjQ2NzYzITIXFhQGBwYB4P6DOQsGDA0THwF9OQwGCw0TwSISOiQHCSMROiQHCQABAA8AAAMUAwgAUAAAATIXFhQGBwYjJxEUBgYiLgI1EQYjJxEUBgYiLgI1EQYiJjQ2NzYzFzU0NjMyFhcWFRQHBgcGIyIVFTYzFzU0NjMyFhcWFRQHBgcGIyIVFQK9RQwGDQ4VKEATJz4lEAMwH2ITJz4lEAMTLB0KCRAYIW5oFxcPGxEOHgkTJTYnVG5oGBYPGxEOHQoTJQIPJhM+JQgMBP70JiUMDR0YFwEJAwT+9CYlDA0dGBcBCQMiUiUIDQQ1TX0DBw5AMBQRAQEZNwQENU19AwcOQDAUEQEBGTcAAAMAD///Ap0DBwAtAEQAVQAAATIXFhQGBwYjJxEUBgYiLgI1ESMmJyY1NDMzNTQ2MzIWFxYVFAcGByIjIhUVFzQ2NzYzMhcWFxYVERQGBwYjIicmJjUSBiIuAjQ2NzYzMhcWFhQGAVxFDAYNDhUoQBMnPiUQAyQaCxM7IW5oFxcPGxEOHgkTJdMDBw5AMBQRAQEDCA1APw4HA50mPyYPAwMHDkA/DQgDAwIOJhM+JQgMBP70JiUMDR0YFwEJAgoTNlI1TX0DCA1AMBUQAhk3URcXDxoRDh0KE/6iFxcPGhsPFhgCCgwMHhcuFw4bGw8XLhcAAAACAA//+AL3AwcALQBIAAABMhcWFAYHBiMnERQGBiIuAjURIyYnJjU0MzM1NDYzMhYXFhUUBwYHIiMiFRU3NDY3NjMyFxYWFREUFjIWFxYVFAcGJyYnJjUBXEUMBg0OFShAEyc+JRADJBoLEzshbmgXFw8bEQ4eCRMlzAMIDUA9DwgDDCkOCxMTG2JNGBsCDiYTPiUIDAT+9CYlDA0dGBcBCQIKEzZSNU19AwgNQDAVEAIZN6cXFw8bGw8YF/4xJBMDBw06Pw4SDAopMWsAAAAAAwAPAAAD+wMIAFAAYQB1AAABMhcWFAYHBiMnERQGBiIuAjURBiMnERQGBiIuAjURBiImNDY3NjMXNTQ2MzIWFxYVFAcGBwYjIhUVNjMXNTQ2MzIWFxYVFAcGBwYjIhUVJCIuAjQ2NzYzMhcWFhQOAjYyHgIVERQOAiIuAjURNDYCvUUMBg0OFShAEyc+JRADMR9hEyc+JRADFCsdCgkQGCFuaBcXDxsRDh4JEyU1J1VuaBgWDxsRDh0KEyUBRz4mDwMDCA1APg0IAwMPiiY/JQ8DAw8mPiYPAwMCDyYTPiUIDAT+9CYlDA0dGBcBCQME/vQmJQwNHRgXAQkDIlIlCA0ENU19AwcOQDAUEQEBGTcEBDVNfQMHDkAwFBEBARk3SQweFy4XDhoaDxcuFx1fDAweFxj+pBcWHQwMHRcXAV0XFwAAAQAPAAADHwMIAFIAAAEnFRQWMhYXFhUUBwYGIyImNTUGIycRFAYGIi4CNREGIiY0Njc2Mxc1NDYzMhYXFhUUBwYHBiMiFRU2Mxc1NDY3NjMyFxYVFTYyFhcWFRQHBgYCx0ERLxkNGBwPFxZicjYmYRMnPiUQAxQrHQoJEBghbmgXFw8bEQ4eCRMlNyldAwcOQEQMBiwtFw4bGw8XAV4EihsYAwgNNj8OBwNuYJQDBP70JiUMDR0YFwEJAyJSJQgNBDVNfQMHDkAwFBEBARk3BARnFxYNGSUQI2IEAwgNQD8OBwMAAQAPAAADCwLDAFIAAAEnFRQWMhYXFhUUBwYGIyImNTUGIycVFBYyFhcWFRQHBgYjIiY1NQYiJjQ2NzYzFzU0Njc2MzIXFhUVNjMXNTQ2NzYzMhcWFRU2MhYXFhUUBwYGArNBES8ZDRgcDxcWZHAwIFsRLxkOFxwPFxZkcBQrHQoJEBghAwgNQEQNBS8qUgMHDkBEDAYsLRcOGxsPFwFeBIobGAMIDTY/DgcDaGaUBASKGxgDCA02Pw4HA2hmlAMiUiUIDQRnFxYNGSUQI18BAWQXFg0ZJRAjYgQDCA1APw4HAwAAAgAoAAICYwMIABUAKQAANzIWFAYjIiY1ETQ2NzYzMhcWFhURFCQWMhYUBiMiNQM0Njc2MzIXFhUR4CEgIiBlUgMHDkA9DwgDAQ4QQiwvKtQBAwgPPz0PC7EiaiNhcQHdFxcPGhwOFxf+IB8MDCJqI9IB3RcXDxocFib+IAAAAAAE/3z/GAHhAwAADwAqADwAVAAAEiIuAjQ+AjIeAhQGBhcRFAYHBiMiJicmNDYyNjY1ETQ2NzYzMhcWFjYiJiYnJjQ+AjIeAhQOAzYyHgIVERQGIyImJyY1NDMyNjURNDacPiQPAwMPJT4lDwMDDxIwJk9eFxYOGio9IyIDBwxBPQ4HA88yIRIEBQMPJT4lDwMCCBJ/Jj8kDwNjWRcWDhpBFg4DAlQMHRcuFhwMDB0WLhccqf5jPGQgQQMIDXYeCy0kAZcYFA8aGw4WhQoNDhA5FhwMDB0WKxAcDFwLDB0WF/5jfIUDBw4/VR4+AZcYFAAAABIA3gABAAAAAAAAAGEAAAABAAAAAAABAAsAYQABAAAAAAACAAcAbAABAAAAAAADADAAcwABAAAAAAAEAAsAYQABAAAAAAAFAA0AowABAAAAAAAGABIAsAABAAAAAAANAJAAwgABAAAAAAAOABoBUgADAAEECQAAAMIBbAADAAEECQABABYCLgADAAEECQACAA4CRAADAAEECQADAGACUgADAAEECQAEABYCLgADAAEECQAFABoCsgADAAEECQAGACQCzAADAAEECQANASAC8AADAAEECQAOADQEEENvcHlyaWdodCAoYykgMjAxMSBNaWxlbmEgQiBCcmFuZGFvIChtaWxlbmFiYnJhbmRhb0BnbWFpbC5jb20pLCB3aXRoIFJlc2VydmVkIEZvbnQgTmFtZSAiRnJlZG9rYSJGcmVkb2thIE9uZVJlZ3VsYXJGb250Rm9yZ2UgMi4wIDogRnJlZG9rYSBPbmUgUmVndWxhciA6IDI3LTExLTIwMTFWZXJzaW9uIDEuMDAxRnJlZG9rYU9uZS1SZWd1bGFyVGhpcyBGb250IFNvZnR3YXJlIGlzIGxpY2Vuc2VkIHVuZGVyIHRoZSBTSUwgT3BlbiBGb250IExpY2Vuc2UsIFZlcnNpb24gMS4xLiBUaGlzIGxpY2Vuc2UgaXMgYXZhaWxhYmxlIHdpdGggYSBGQVEgYXQ6IGh0dHA6Ly9zY3JpcHRzLnNpbC5vcmcvT0ZMaHR0cDovL3NjcmlwdHMuc2lsLm9yZy9PRkwAQwBvAHAAeQByAGkAZwBoAHQAIAAoAGMAKQAgADIAMAAxADEAIABNAGkAbABlAG4AYQAgAEIAIABCAHIAYQBuAGQAYQBvACAAKABtAGkAbABlAG4AYQBiAGIAcgBhAG4AZABhAG8AQABnAG0AYQBpAGwALgBjAG8AbQApACwAIAB3AGkAdABoACAAUgBlAHMAZQByAHYAZQBkACAARgBvAG4AdAAgAE4AYQBtAGUAIAAiAEYAcgBlAGQAbwBrAGEAIgBGAHIAZQBkAG8AawBhACAATwBuAGUAUgBlAGcAdQBsAGEAcgBGAG8AbgB0AEYAbwByAGcAZQAgADIALgAwACAAOgAgAEYAcgBlAGQAbwBrAGEAIABPAG4AZQAgAFIAZQBnAHUAbABhAHIAIAA6ACAAMgA3AC0AMQAxAC0AMgAwADEAMQBWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxAEYAcgBlAGQAbwBrAGEATwBuAGUALQBSAGUAZwB1AGwAYQByAFQAaABpAHMAIABGAG8AbgB0ACAAUwBvAGYAdAB3AGEAcgBlACAAaQBzACAAbABpAGMAZQBuAHMAZQBkACAAdQBuAGQAZQByACAAdABoAGUAIABTAEkATAAgAE8AcABlAG4AIABGAG8AbgB0ACAATABpAGMAZQBuAHMAZQAsACAAVgBlAHIAcwBpAG8AbgAgADEALgAxAC4AIABUAGgAaQBzACAAbABpAGMAZQBuAHMAZQAgAGkAcwAgAGEAdgBhAGkAbABhAGIAbABlACAAdwBpAHQAaAAgAGEAIABGAEEAUQAgAGEAdAA6ACAAaAB0AHQAcAA6AC8ALwBzAGMAcgBpAHAAdABzAC4AcwBpAGwALgBvAHIAZwAvAE8ARgBMAGgAdAB0AHAAOgAvAC8AcwBjAHIAaQBwAHQAcwAuAHMAaQBsAC4AbwByAGcALwBPAEYATAAAAAIAAAAAAAD/tQAyAAAAAAAAAAAAAAAAAAAAAAAAAAAA6wAAAAEAAgADAAQABQAGAAcACAAJAAoACwAMAA0ADgAPABAAEQASABMAFAAVABYAFwAYABkAGgAbABwAHQAeAB8AIAAhACIAIwAkACUAJgAnACgAKQAqACsALAAtAC4ALwAwADEAMgAzADQANQA2ADcAOAA5ADoAOwA8AD0APgA/AEAAQQBCAEMARABFAEYARwBIAEkASgBLAEwATQBOAE8AUABRAFIAUwBUAFUAVgBXAFgAWQBaAFsAXABdAF4AXwBgAGEAowCEAIUAvQCWAOgAhgCOAIsAnQCpAKQAigCDAJMA8gDzAI0AlwCIAMMA3gDxAJ4AqgD1APQA9gCiAK0AyQDHAK4AYgBjAJAAZADLAGUAyADKAM8AzADNAM4A6QBmANMA0ADRAK8AZwDwAJEA1gDUANUAaADrAO0AiQBqAGkAawBtAGwAbgCgAG8AcQBwAHIAcwB1AHQAdgB3AOoAeAB6AHkAewB9AHwAuAChAH8AfgCAAIEA7ADuALoA1wDiAOMAsACxAOQA5QC7AOYA5wCmANgA4QDcAN0A4ADZALIAswC2ALcAxAC0ALUAxQCCAMIAhwCrAMYAvgC/ALwBAgCMAO8BAwDAAMEBBAEFAQYBBwEIBEV1cm8DZl9mBWZfZl9pA2ZfdAN0X3QDbF9sA2pfagAAAQAB//8ADwAAAAEAAAAAyYlvMQAAAADIRCsJAAAAAMr4pksAAQAAAAwAAABAAEgAAgAIAAMABwABAAgACAACAAkAegABAHsAfQACAH4A2wABANwA3AACAN0A4gABAOMA6gACAAQAAAABAAAAAgABAAAAAAAAAAAAAQAAAAoAHgAsAAFsYXRuAAgABAAAAAD//wABAAAAAWtlcm4ACAAAAAEAAAABAAQAAgAAAAMADAP6EqAAAQDwAAQAAABzBFwBbAPaAYIBvAR+Ad4B8AM8BLwFwgXcBfIDMgIuAjgBnAcoCEIDUAlEAk4KhgvcDOIDfAO2AmQNqAJ2Df4DRg4UDqIOyA7qA+QCkAKQAq4C4g+YD6oDbgGyAtAQgBEaEcgDCAPAAbwBvAG8AbwBvAG8AzwB3gM8AzwDPAM8AfACLgI4AjgCOAI4AjgCOAJOAk4CTgJOA3wCZAJkAmQCZAJkAmQDRgJ2A0YDRgNGA0YCkAKuAq4CrgKuAq4CrgLQAtAC0ALQAwgC4gMIAzID5AM8A0YDUANuA3wDtgPAA9oD2hIyA+QAAgAUAAUABQAAAAoACgABAA8ADwACABEAEQADACQAKgAEAC0ALwALADEAPQAOAEQASwAbAE4AXQAjAH8AigAzAI8AlQA/AJcAnABGAJ8AqgBMALAAtQBYALcAvgBeAMAAyABmANQA1ABvANcA1wBwANsA2wBxAOUA5QByAAUAKQAUAC3/agAwABQANQAUAE4ACgAGADf/OAA5/1YAOv+mAFT/7ABZ/84AWv/sAAUAN//WADr/5AA7/+wAhf9ZANv/fgACADn/5QA6/+UACAA3/0UAOf9qADr/gwBH/9gASv/YAE//7ABZ/4gAWv+cAAQANP/2AEf/7ABK/+wAWv/iAA8AN//EADn/2AA7/9gAR//xAFn/9gBa//YAW//2ALz/9gC+//YAyP/sANT/zgDX/84A2//OAOT/9gDl//YAAgBZ//EAWv/2AAUAN//EADn/2AA7/9gAWf/2AFv/9gAFAC3/2ABZ//YAWv/2AIX/1gDb/+wABAA3/5EAOf+7ADr/1wBZ//EABgA3/2oAOf+cADr/ugBL//oAWf/2AFr/9gAHADf/dQA5/5EAOv+fAFn/4gBa/+IA5P/sAOX/7AAIADf/iAA5/5wAOv+6ADv/7ABZ/+IAWv/sAFv/7ADb/9gABAA3/4gAOf+7ADr/yQBZ//YACQA3/4gAOf+cADr/ugA7/+wAVP/2AFn/4gBa/+wAW//sANv/2AAKAC3/qQA3/3YAOf/YADr/5AA7/8IAUP/wAIX/nwCl/9gAw//YANv/ugACAFn/fgBa/5wAAgBZ/8QAWv/iAAIAWf/iAFr/4gAHADf/zgA5/+IAOv/iAFn/4gBa/+IAW//sANv/7AADADf/iABZ/9gAWv/iAA4AHv+yAC3/ZwBH/34ASv9+AE3/7ABQ/6YAU/+wAFT/iABV/7AAWf+wAFr/tQBb/7AAhf9aANv/agACAFn/xABa/84ABgA3/58AOf+7ADr/rQBZ//YAWv/2AKX/4gACADf/kwBa/9EAAgBZ/9gAWv/YAAEAOgAEAAAAGABuAJAAzgHUAe4CBAM6BFQFVgaYB+4I9Am6ChAKJgq0CtoK/AuqC7wMkg0sDdoORAABABgABQAlACkAKgAtAC4ANAA1ADcAOQA6ADsARQBHAEkASgBLAE4AVABVAFkAWgBbANsACAAm/+IAKQAUAC3/agAwABQANQAUAE4ACgBTAAIAhv/iAA8AD//sABH/7AA3/+IAOv/sADv/7AA8/+wAPf/sAFn/4gBa/+wAnP/sAMb/7ADH/+wA1P/sANf/7ADb/+wAQQAP/2oAEf9qAB7/sgBE/6YARv+mAEf/pgBI/6YASf/EAEr/pgBM/+wATf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xlink:href="#azdkHdJT6" opacity="1" fill="#543871" fill-opacity="1"></use></g><g><use xlink:href="#b3z9undNJW" opacity="1" fill="#8964ae" fill-opacity="1"></use></g><g><use xlink:href="#e2fiaaC6Hz" opacity="1" fill="#543871" fill-opacity="1"></use></g><g><use xlink:href="#b6WhDUOqyo" opacity="1" fill="#bfb8c6" fill-opacity="1"></use></g><g id="a219ztvHVR"><g><filter id="shadow2762651" x="231.7" y="172.33" width="162.52" height="53.14" filterUnits="userSpaceOnUse" primitiveUnits="userSpaceOnUse"><feFlood></feFlood><feComposite in2="SourceAlpha" operator="in"></feComposite><feGaussianBlur stdDeviation="0"></feGaussianBlur><feOffset dx="-1" dy="2" result="afterOffset"></feOffset><feFlood flood-color="#543871" flood-opacity="1"></feFlood><feComposite in2="afterOffset" operator="in"></feComposite><feMorphology operator="dilate" radius="0.5"></feMorphology><feComposite in2="SourceAlpha" operator="out"></feComposite></filter><text id="c3umms0iZd" x="312.46" y="179.83" font-size="29" font-family="Fredoka One" font-weight="700" font-style="normal" letter-spacing="2.03" alignment-baseline="before-edge" transform="matrix(0.8371954324630368 -0.5468902542839948 0.5446574403310958 0.8386674730333802 87.11677234781712 433.07442224191846)" style="line-height:100%" xml:space="preserve" dominant-baseline="text-before-edge" fill="white" fill-opacity="1" filter="url(#shadow2762651)"><tspan x="312.46" dy="0em" alignment-baseline="before-edge" dominant-baseline="text-before-edge" text-anchor="middle">dmriprepoc</tspan></text></g><use xlink:href="#c6kUTz9yh" opacity="1" fill="#8964ae" fill-opacity="1"></use></g><g><use xlink:href="#aDmSFbrBT" opacity="1" fill="#bfb8c6" fill-opacity="1"></use><g><filter id="shadow535826" x="495.78" y="421.61" width="91" height="91" filterUnits="userSpaceOnUse" primitiveUnits="userSpaceOnUse"><feFlood></feFlood><feComposite in2="SourceAlpha" operator="out"></feComposite><feGaussianBlur stdDeviation="3.16"></feGaussianBlur><feOffset dx="-5" dy="-5" 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\ No newline at end of file
diff --git a/docs/index.rst b/docs/index.rst
index d654265b..92dcb5bb 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,4 +1,4 @@
-Welcome to dmriprep's documentation!
+Welcome to dmriprepoc's documentation!
 ======================================
 
 .. toctree::
diff --git a/docs/installation.rst b/docs/installation.rst
index 9a80cbc9..d56cd9c9 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -8,13 +8,13 @@ Installation
 Stable release
 --------------
 
-To install dmriprep, run this command in your terminal:
+To install dmriprepoc, run this command in your terminal:
 
 .. code-block:: console
 
-    $ pip install dmriprep
+    $ pip install dmriprepoc
 
-This is the preferred method to install dmriprep, as it will always install the most recent stable release.
+This is the preferred method to install dmriprepoc, as it will always install the most recent stable release.
 
 If you don't have `pip`_ installed, this `Python installation guide`_ can guide
 you through the process.
@@ -26,19 +26,19 @@ you through the process.
 From sources
 ------------
 
-The sources for dmriprep can be downloaded from the `Github repo`_.
+The sources for dmriprepoc can be downloaded from the `Github repo`_.
 
 You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/nipy/dmriprep
+    $ git clone git://github.com/nipy/dmriprepoc
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/nipy/dmriprep/tarball/master
+    $ curl  -OL https://github.com/nipy/dmriprepoc/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -47,5 +47,5 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/nipy/dmriprep
-.. _tarball: https://github.com/nipy/dmriprep/tarball/master
+.. _Github repo: https://github.com/nipy/dmriprepoc
+.. _tarball: https://github.com/nipy/dmriprepoc/tarball/master
diff --git a/docs/make.bat b/docs/make.bat
index c8af47bb..265138ef 100644
--- a/docs/make.bat
+++ b/docs/make.bat
@@ -9,7 +9,7 @@ if "%SPHINXBUILD%" == "" (
 )
 set SOURCEDIR=.
 set BUILDDIR=_build
-set SPHINXPROJ=dmriprep
+set SPHINXPROJ=dmriprepoc
 
 if "%1" == "" goto help
 
diff --git a/docs/modules.rst b/docs/modules.rst
index 05dd5a95..1e0222cc 100644
--- a/docs/modules.rst
+++ b/docs/modules.rst
@@ -1,7 +1,7 @@
-dmriprep
+dmriprepoc
 ========
 
 .. toctree::
    :maxdepth: 4
 
-   dmriprep
+   dmriprepoc
diff --git a/docs/usage.rst b/docs/usage.rst
index a747741b..56bc3cf4 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -2,6 +2,6 @@
 Usage
 =====
 
-To use dmriprep in a project::
+To use dmriprepoc in a project::
 
-    import dmriprep
+    import dmriprepoc
diff --git a/setup.cfg b/setup.cfg
index c9b349a8..da6c0ceb 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -7,7 +7,7 @@ tag = True
 search = version='{current_version}'
 replace = version='{new_version}'
 
-[bumpversion:file:dmriprep/__init__.py]
+[bumpversion:file:dmriprepoc/__init__.py]
 search = __version__ = '{current_version}'
 replace = __version__ = '{new_version}'
 
diff --git a/setup.py b/setup.py
index b4add0ae..c093d648 100644
--- a/setup.py
+++ b/setup.py
@@ -44,9 +44,9 @@
     description="Preprocessing of neuroimaging data in preparation for AFQ analysis",
     entry_points={
         "console_scripts": [
-            "dmriprep=dmriprep.cli:main",
-            "dmriprep-data=dmriprep.cli:data",
-            "dmriprep-upload=dmriprep.cli:upload",
+            "dmriprepoc=dmriprepoc.cli:main",
+            "dmriprepoc-data=dmriprepoc.cli:data",
+            "dmriprepoc-upload=dmriprepoc.cli:upload",
         ]
     },
     install_requires=requirements,
@@ -54,13 +54,13 @@
     license="BSD license",
     long_description=readme + "\n\n" + history,
     include_package_data=True,
-    keywords="dmriprep",
-    name="dmriprep",
-    packages=find_packages(include=["dmriprep*"]),
+    keywords="dmriprepoc",
+    name="dmriprepoc",
+    packages=find_packages(include=["dmriprepoc*"]),
     setup_requires=setup_requirements,
     test_suite="tests",
     tests_require=test_requirements,
-    url="https://github.com/nipy/dmriprep",
+    url="https://github.com/nipy/dmriprepoc",
     version="0.1.0",
     zip_safe=False,
 )
diff --git a/tests/test_dmriprep.py b/tests/test_dmriprep.py
index 1786035f..783ccb6f 100644
--- a/tests/test_dmriprep.py
+++ b/tests/test_dmriprep.py
@@ -1,13 +1,13 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-"""Tests for `dmriprep` package."""
+"""Tests for `dmriprepoc` package."""
 
 import pytest
 
 from click.testing import CliRunner
 
-from dmriprep import cli
+from dmriprepoc import cli
 
 
 @pytest.fixture
diff --git a/tests/test_utils.py b/tests/test_utils.py
index f5fa1b10..1ab5c059 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,11 +1,11 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-"""Tests for `dmriprep` package."""
+"""Tests for `dmriprepoc` package."""
 
 import numpy as np
 
-from dmriprep.utils import is_hemispherical
+from dmriprepoc.utils import is_hemispherical
 
 
 def uniform_points_on_sphere(npoints=1, hemisphere=True, rotate=(0, 0, 0)):
diff --git a/tox.ini b/tox.ini
index 4347a530..589cce4e 100644
--- a/tox.ini
+++ b/tox.ini
@@ -10,7 +10,7 @@ python =
 [testenv:flake8]
 basepython = python
 deps = flake8
-commands = flake8 dmriprep
+commands = flake8 dmriprepoc
 
 [testenv]
 setenv =

From 62221c9cf3a81a6cee9f3456e65052979238e5b6 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 9 Jul 2019 06:25:13 -0400
Subject: [PATCH 054/156] add data to gitignore

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index 3cae9a46..b54dbe26 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,3 +103,6 @@ ENV/
 
 # Mac OS nonsense:
 .DS_Store
+
+# data
+notebooks/data/

From dbee40dd5ba4ee912da9ea2a37452e790f418eb4 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 9 Jul 2019 06:26:07 -0400
Subject: [PATCH 055/156] add topup workflow

---
 dmriprep/workflows/fieldmap/__init__.py |  1 +
 dmriprep/workflows/fieldmap/base.py     | 98 +++++++++++++++++++------
 dmriprep/workflows/fieldmap/pepolar.py  | 79 ++++++++++++++++++++
 3 files changed, 156 insertions(+), 22 deletions(-)
 create mode 100644 dmriprep/workflows/fieldmap/pepolar.py

diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index 2b2d1f4b..0b2ecddd 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -1,5 +1,6 @@
 #!/usr/bin/env python
 
 from .base import init_sdc_prep_wf
+from .pepolar import init_pepolar_wf
 from .fmap import init_fmap_wf
 from .phasediff import init_phase_wf, init_phdiff_wf
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 1447c7f0..c84fe674 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -1,15 +1,20 @@
 #!/usr/bin/env python
 
+from nipype.pipeline import engine as pe
+from nipype.interfaces import utility as niu
+
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
-def init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap_bspline=False):
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import utility as niu
+def init_sdc_prep_wf(
+    fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap_bspline=False
+):
 
     sdc_prep_wf = pe.Workflow(name="sdc_prep_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode"
+    )
 
     outputnode = pe.Node(
         niu.IdentityInterface(
@@ -20,7 +25,7 @@ def init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap
                 "bold_ref_brain",
                 "out_warp",
                 "syn_bold_ref",
-                "method"
+                "method",
             ]
         ),
         name="outputnode",
@@ -29,6 +34,11 @@ def init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap
     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
     fmap = fmaps[0]
 
+    if fmap["suffix"] == "epi":
+        from .pepolar import init_pepolar_wf
+
+        pepolar_wf = init_pepolar_wf()
+
     if fmap["suffix"] == "fieldmap":
         from .fmap import init_fmap_wf
 
@@ -38,41 +48,69 @@ def init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap
 
         sdc_prep_wf.connect(
             [
-                (inputnode, fmap_wf, [("b0_stripped", "inputnode.b0_stripped")]),
+                (
+                    inputnode,
+                    fmap_wf,
+                    [("b0_stripped", "inputnode.b0_stripped")],
+                ),
                 (fmap_wf, outputnode, [("outputnode.out_fmap", "out_fmap")]),
             ]
         )
 
-    if fmap['suffix'] in ('phasediff', 'phase'):
+    if fmap["suffix"] in ("phasediff", "phase"):
         from .phasediff import init_phase_wf, init_phdiff_wf
         from .fmap import init_fmap_wf
-        if fmap['suffix'] == 'phasediff':
+
+        if fmap["suffix"] == "phasediff":
             phase_wf = init_phdiff_wf(bet_mag_frac)
-            phase_wf.inputs.inputnode.phasediff = fmap['phasediff']
+            phase_wf.inputs.inputnode.phasediff = fmap["phasediff"]
 
             phase_wf.inputs.inputnode.magnitude1 = [
-                fmap_ for key, fmap_ in sorted(fmap.items())
+                fmap_
+                for key, fmap_ in sorted(fmap.items())
                 if key.startswith("magnitude1")
             ][0]
 
-            phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(phase_wf.inputs.inputnode.phasediff)
+            phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(
+                phase_wf.inputs.inputnode.phasediff
+            )
             post_phase_wf = init_fmap_wf()
 
             sdc_prep_wf.connect(
                 [
-                    (inputnode, post_phase_wf, [("b0_stripped", "inputnode.b0_stripped")]),
-                    (phase_wf, post_phase_wf, [("outputnode.out_fmap", "inputnode.fieldmap")]),
-                    (phase_wf, post_phase_wf, [("outputnode.out_mag", "inputnode.magnitude")]),
-                    (post_phase_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])
+                    (
+                        inputnode,
+                        post_phase_wf,
+                        [("b0_stripped", "inputnode.b0_stripped")],
+                    ),
+                    (
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_fmap", "inputnode.fieldmap")],
+                    ),
+                    (
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_mag", "inputnode.magnitude")],
+                    ),
+                    (
+                        post_phase_wf,
+                        outputnode,
+                        [("outputnode.out_fmap", "out_fmap")],
+                    ),
                 ]
             )
 
-        elif fmap['suffix'] == 'phase':
+        elif fmap["suffix"] == "phase":
             phase_wf = init_phase_wf(bet_mag_frac)
-            phase_wf.inputs.inputnode.phasediff = [fmap['phase1'], fmap['phase2']]
+            phase_wf.inputs.inputnode.phasediff = [
+                fmap["phase1"],
+                fmap["phase2"],
+            ]
 
             phase_wf.inputs.inputnode.magnitude1 = [
-                fmap_ for key, fmap_ in sorted(fmap.items())
+                fmap_
+                for key, fmap_ in sorted(fmap.items())
                 if key.startswith("magnitude1")
             ][0]
 
@@ -84,10 +122,26 @@ def init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap
 
             sdc_prep_wf.connect(
                 [
-                    (inputnode, post_phase_wf, [("b0_stripped", "inputnode.b0_stripped")]),
-                    (phase_wf, post_phase_wf, [("outputnode.out_fmap", "inputnode.fieldmap")]),
-                    (phase_wf, post_phase_wf, [("outputnode.out_mag", "inputnode.magnitude")]),
-                    (post_phase_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])
+                    (
+                        inputnode,
+                        post_phase_wf,
+                        [("b0_stripped", "inputnode.b0_stripped")],
+                    ),
+                    (
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_fmap", "inputnode.fieldmap")],
+                    ),
+                    (
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_mag", "inputnode.magnitude")],
+                    ),
+                    (
+                        post_phase_wf,
+                        outputnode,
+                        [("outputnode.out_fmap", "out_fmap")],
+                    ),
                 ]
             )
     return sdc_prep_wf
diff --git a/dmriprep/workflows/fieldmap/pepolar.py b/dmriprep/workflows/fieldmap/pepolar.py
new file mode 100644
index 00000000..34ca318c
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/pepolar.py
@@ -0,0 +1,79 @@
+#!/usr/bin/env python
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import fsl, utility as niu
+
+
+def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
+
+    dwi_file_pe = dwi_meta["PhaseEncodingDirection"]
+
+    usable_fieldmaps_matching_pe = []
+    usable_fieldmaps_opposite_pe = []
+
+    for fmap, pe_dir in epi_fmaps:
+        if pe_dir == dwi_file_pe:
+            usable_fieldmaps_matching_pe.append(fmap)
+        elif pe_dir[0] == dwi_file_pe[0]:
+            usable_fieldmaps_opposite_pe.append(fmap)
+
+    if not usable_fieldmaps_opposite_pe:
+        raise Exception("None of the discovered fieldmaps for "
+                        "participant {} has the right phase "
+                        "encoding direction".format(subject_id))
+
+    wf = pe.Workflow(name="pepolar_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]))
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_topup"]))
+
+    topup_wf = init_topup_wf()
+    topup_wf.inputnode.altepi_file = usable_fieldmaps_opposite_pe[0]
+
+    if not usable_fieldmaps_matching_pe:
+        wf.connect(
+            [
+                (inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])
+            ]
+        )
+    else:
+        topup_wf.inputnode.epi_file = usable_fieldmaps_matching_pe[0]
+
+    return wf
+
+
+def init_topup_wf():
+
+    wf = pe.Workflow(name="topup_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["epi_file", "altepi_file", "encoding_directions"]),
+        name="inputnode")
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_fmap"]),
+        name="outputnode")
+
+    list_merge = pe.Node(niu.Merge(numinputs=2), name="list_merge")
+
+    merge = pe.Node(fsl.Merge(dimension="t"), name="mergeAPPA")
+
+    topup = pe.Node(fsl.TOPUP(), name="topup")
+    topup.inputs.readout_times = [0.05, 0.05]
+
+    wf.connect(
+        [
+            (
+                inputnode,
+                list_merge,
+                [("epi_file", "in1"), ("altepi_file", "in2")]
+            ),
+            (list_merge, merge, [("out", "in_files")]),
+            (merge, topup, [("merged_file", "in_file")]),
+            (inputnode, topup, [("encoding_directions", "encoding_direction")]),
+            (topup, outputnode, [("out_field", "out_fmap")]),
+        ]
+    )
+
+    return wf

From f54fd7f992eb1fb943ee969a76cc1019286861b0 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 9 Jul 2019 06:26:20 -0400
Subject: [PATCH 056/156] style changes

---
 dmriprep/workflows/fieldmap/fmap.py      |  14 ++-
 dmriprep/workflows/fieldmap/phasediff.py | 108 ++++++++++++++---------
 2 files changed, 77 insertions(+), 45 deletions(-)

diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
index df002a5d..72aa0615 100644
--- a/dmriprep/workflows/fieldmap/fmap.py
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -1,15 +1,21 @@
 #!/usr/bin/env python
 
+from nipype.pipeline import engine as pe
+from nipype.interfaces import fsl, utility as niu
+
 
 def init_fmap_wf():
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import fsl, utility as niu
 
     wf = pe.Workflow(name="fmap_prep_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["fieldmap", "magnitude", "b0_stripped"]), name="inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["fieldmap", "magnitude", "b0_stripped"]),
+        name="inputnode",
+    )
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap"]), name="outputnode")
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_fmap"]), name="outputnode"
+    )
 
     rad_to_hz = pe.Node(
         fsl.BinaryMaths(operation="div", operand_value=6.28), name="radToHz"
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index de5e7cae..c47ec565 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -1,29 +1,41 @@
 #!/usr/bin/env python
 
+from nipype.pipeline import engine as pe
+from nipype.interfaces import fsl, utility as niu
+from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
+
+
 def init_phase_wf(bet_mag_frac):
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import fsl, utility as niu
-    from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
 
     wf = pe.Workflow(name="phase_prep_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]), name="inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]
+        ),
+        name="inputnode",
+    )
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap", "out_mag"]), name="outputnode")
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_fmap", "out_mag"]),
+        name="outputnode",
+    )
 
-    phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
+    phases2fmap = pe.Node(Phases2Fieldmap(), name="phases2fmap")
 
-    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True),
-                                    name='mag_bet')
+    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True), name="mag_bet")
 
-    prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS', nocheck=True),
-                                    name='prep_fmap')
+    prep_fmap = pe.Node(
+        fsl.PrepareFieldmap(scanner="SIEMENS", nocheck=True), name="prep_fmap"
+    )
 
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi_phase")
 
     delta = pe.Node(
         niu.Function(
-            input_names=["in_values"], output_names=["out_value"], function=delta_te
+            input_names=["in_values"],
+            output_names=["out_value"],
+            function=delta_te,
         ),
         name="delta",
     )
@@ -33,66 +45,74 @@ def init_phase_wf(bet_mag_frac):
             # Mag bet
             (inputnode, mag_bet, [("magnitude1", "in_file")]),
             # phases -> phdiff
-            (inputnode, phases2fmap, [('phases_meta', 'metadatas')]),
-            (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
+            (inputnode, phases2fmap, [("phases_meta", "metadatas")]),
+            (inputnode, phases2fmap, [("phasediff", "phase_files")]),
             # phdiff delta_te
-            (phases2fmap, delta, [('phasediff_metadata', 'in_values')]),
+            (phases2fmap, delta, [("phasediff_metadata", "in_values")]),
             # prep fmap
             (mag_bet, prep_fmap, [("out_file", "in_magnitude")]),
-            (phases2fmap, prep_fmap, [('out_file', 'in_phase')]),
-            (delta, prep_fmap, [('out_value', 'delta_TE')]),
+            (phases2fmap, prep_fmap, [("out_file", "in_phase")]),
+            (delta, prep_fmap, [("out_value", "delta_TE")]),
             # Remove second empty volume
             (prep_fmap, fslroi, [("out_fieldmap", "in_file")]),
             (fslroi, outputnode, [("roi_file", "out_fmap")]),
-            (inputnode, outputnode, [("magnitude1", "out_mag")])
+            (inputnode, outputnode, [("magnitude1", "out_mag")]),
         ]
     )
 
     return wf
 
+
 def init_phdiff_wf(bet_mag_frac):
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import fsl, utility as niu
-    from ...interfaces import Phasediff2Fieldmap
 
     wf = pe.Workflow(name="phdiff_prep_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]), name="inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]
+        ),
+        name="inputnode",
+    )
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_fmap", "out_mag"]), name="outputnode")
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_fmap", "out_mag"]),
+        name="outputnode",
+    )
 
-    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True),
-                                    name='mag_bet')
+    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True), name="mag_bet")
 
-    prep_fmap = pe.Node(fsl.PrepareFieldmap(scanner='SIEMENS'),
-                                    name='prep_fmap')
+    prep_fmap = pe.Node(
+        fsl.PrepareFieldmap(scanner="SIEMENS"), name="prep_fmap"
+    )
 
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi_phase")
 
     delta = pe.Node(
         niu.Function(
-            input_names=["in_values"], output_names=["out_value"], function=delta_te
+            input_names=["in_values"],
+            output_names=["out_value"],
+            function=delta_te,
         ),
         name="delta",
     )
 
-    #phdiff2fmap = pe.Node(Phasediff2Fieldmap(), name='phdiff2fmap')
+    # phdiff2fmap = pe.Node(Phasediff2Fieldmap(), name='phdiff2fmap')
 
     wf.connect(
         [
             # mag bet
             (inputnode, mag_bet, [("magnitude1", "in_file")]),
             # phdiff delta_te
-            (inputnode, delta, [('phases_meta', 'in_values')]),
+            (inputnode, delta, [("phases_meta", "in_values")]),
             # prep fmap
             (mag_bet, prep_fmap, [("out_file", "in_magnitude")]),
-            (inputnode, prep_fmap, [('phasediff', 'in_phase')]),
-            (delta, prep_fmap, [('out_value', 'delta_TE')]),
+            (inputnode, prep_fmap, [("phasediff", "in_phase")]),
+            (delta, prep_fmap, [("out_value", "delta_TE")]),
             # Remove second empty volume
             (prep_fmap, fslroi, [("out_fieldmap", "in_file")]),
             # Output
             (fslroi, outputnode, [("roi_file", "out_fmap")]),
-            (inputnode, outputnode, [("magnitude1", "out_mag")])
+            (inputnode, outputnode, [("magnitude1", "out_mag")]),
         ]
     )
     return wf
@@ -100,22 +120,24 @@ def init_phdiff_wf(bet_mag_frac):
 
 def get_metadata(in_file, bids_dir):
     from bids import BIDSLayout
+
     layout = BIDSLayout(bids_dir, validate=False)
     out_dict = layout.get_metadata(in_file)
     return out_dict
 
+
 def delta_te(in_values, te1=None, te2=None):
     """Read :math:`\Delta_\text{TE}` from BIDS metadata dict"""
     if isinstance(in_values, float):
         te2 = in_values
-        te1 = 0.
+        te1 = 0.0
 
     if isinstance(in_values, dict):
-        te1 = in_values.get('EchoTime1')
-        te2 = in_values.get('EchoTime2')
+        te1 = in_values.get("EchoTime1")
+        te2 = in_values.get("EchoTime2")
 
         if not all((te1, te2)):
-            te2 = in_values.get('EchoTimeDifference')
+            te2 = in_values.get("EchoTimeDifference")
             te1 = 0
 
     if isinstance(in_values, list):
@@ -127,13 +149,17 @@ def delta_te(in_values, te1=None, te2=None):
 
     # For convienience if both are missing we should give one error about them
     if te1 is None and te2 is None:
-        raise RuntimeError('EchoTime1 and EchoTime2 metadata fields not found. '
-                           'Please consult the BIDS specification.')
+        raise RuntimeError(
+            "EchoTime1 and EchoTime2 metadata fields not found. "
+            "Please consult the BIDS specification."
+        )
     if te1 is None:
         raise RuntimeError(
-            'EchoTime1 metadata field not found. Please consult the BIDS specification.')
+            "EchoTime1 metadata field not found. Please consult the BIDS specification."
+        )
     if te2 is None:
         raise RuntimeError(
-            'EchoTime2 metadata field not found. Please consult the BIDS specification.')
+            "EchoTime2 metadata field not found. Please consult the BIDS specification."
+        )
 
-    return 1000*abs(float(te2) - float(te1))
+    return 1000 * abs(float(te2) - float(te1))

From cff00f95533a2bf583af2d08009a3bee5e47abd4 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 9 Jul 2019 06:26:39 -0400
Subject: [PATCH 057/156] roll back nipype version in requirements

---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 29ffc900..38c66853 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,6 @@
 Click>=6.0
 dipy==0.16.0
-nipype==1.2.1
+nipype==1.2.0
 pandas==0.24.2
 parse==1.12.0
 tqdm==4.32.1

From be1066b6b42ed8efcc3d6a0408540819514b51be Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 9 Jul 2019 06:27:41 -0400
Subject: [PATCH 058/156] add testing jupyter notebooks

---
 notebooks/acq_param_testing.ipynb | 125 ++++
 notebooks/fmap_testing.ipynb      | 618 ++++++++++++++++++++
 notebooks/make_qc.ipynb           | 395 +++++++++++++
 notebooks/slice_timing.ipynb      | 939 ++++++++++++++++++++++++++++++
 notebooks/test_wf.ipynb           | 348 +++++++++++
 5 files changed, 2425 insertions(+)
 create mode 100644 notebooks/acq_param_testing.ipynb
 create mode 100644 notebooks/fmap_testing.ipynb
 create mode 100644 notebooks/make_qc.ipynb
 create mode 100644 notebooks/slice_timing.ipynb
 create mode 100644 notebooks/test_wf.ipynb

diff --git a/notebooks/acq_param_testing.ipynb b/notebooks/acq_param_testing.ipynb
new file mode 100644
index 00000000..73a54760
--- /dev/null
+++ b/notebooks/acq_param_testing.ipynb
@@ -0,0 +1,125 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "base_dir = \"/projects/mjoseph/pipelines/testing/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- GE/Philips: EchoTrainLength it will be Echo train length/PE steps  \n",
+    "- SIEMENS: EPIFactor \n",
+    "acquisition direction A>>P or P>>A"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "total_readout_time = 1 / PE bandwidth  \n",
+    "effective echo spacing = 1 / (PE bandwidth * (ETL - 1) * acc factor)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- echo spacing = .53ms\n",
+    "- number of in plane lines in the reconstructed epi image = 64\n",
+    "- acceleration factor = 2\n",
+    "- number of in plane reference lines = 24\n",
+    "\n",
+    "My questions: \n",
+    "What do I have to enter as the echo spacing for b0 field unwarping with \n",
+    "feat/fugue?\n",
+    "(a) .53ms/2 (echo_spacing*#lines_in_images / acceleration factor) \n",
+    "(b) .53*64/(32+24) (echo_spacing*#lines_in_images/(#lines_in_images + \n",
+    "#reference_lines))\n",
+    "(c) something else ..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bids import BIDSLayout\n",
+    "\n",
+    "layout = BIDSLayout(base_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dwi_file = \"{}/sub-CMP0178/ses-01/dwi/sub-CMP0178_ses-01_acq-singleshell_dwi.nii.gz\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metadata = layout.get_metadata(dwi_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metadata"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dmriprep_venv",
+   "language": "python",
+   "name": "dmriprep_venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/fmap_testing.ipynb b/notebooks/fmap_testing.ipynb
new file mode 100644
index 00000000..ff9defb2
--- /dev/null
+++ b/notebooks/fmap_testing.ipynb
@@ -0,0 +1,618 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "https://fmriprep.readthedocs.io/en/0.5.0/sdc/estimation.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "from bids import BIDSLayout"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "base_dir = os.path.abspath(\"data\")\n",
+    "output_dir = os.path.abspath(\"outputs\")\n",
+    "\n",
+    "layout = BIDSLayout(base_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_fmaps(dwi_file):\n",
+    "    dwi_metadata = layout.get_metadata(dwi_file)\n",
+    "    fmaps = []\n",
+    "    fmaps = layout.get_fieldmap(dwi_file, return_list=True)\n",
+    "    if not fmaps:\n",
+    "        print(\"No fmaps found\")\n",
+    "    for fmap in fmaps:\n",
+    "        if fmap[\"suffix\"] == \"phase\":\n",
+    "            fmap[\"metadata\"] = {}\n",
+    "            fmap[\"metadata\"][\"phase1\"] = layout.get_metadata(fmap[\"phase1\"])\n",
+    "            fmap[\"metadata\"][\"phase2\"] = layout.get_metadata(fmap[\"phase2\"])\n",
+    "        else:\n",
+    "            fmap[\"metadata\"] = layout.get_metadata(fmap[fmap[\"suffix\"]])\n",
+    "    \n",
+    "    FMAP_PRIORITY = {\"epi\": 0, \"fieldmap\": 1, \"phasediff\": 2, \"phase\": 3, \"syn\": 4}\n",
+    "    \n",
+    "    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap[\"suffix\"]])\n",
+    "    \n",
+    "    return fmaps"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Topup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/bids/layout/layout.py:659: UserWarning: In pybids 0.9.0, the 'extensions' filter was deprecated in favor of 'extension'. The former will stop working in 0.11.0.\n",
+      "  warnings.warn(\"In pybids 0.9.0, the 'extensions' filter was \"\n"
+     ]
+    }
+   ],
+   "source": [
+    "subject_id = \"NDARAJ366ZFA\"\n",
+    "dwi_files = layout.get(subject=subject_id, datatype=\"dwi\", suffix=\"dwi\", extensions=[\".nii\", \".nii.gz\"], return_type=\"filename\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for dwi_file in dwi_files:\n",
+    "    dwi_metadata = layout.get_metadata(dwi_file)\n",
+    "    fmaps = get_fmaps(dwi_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fmap = fmaps[0]\n",
+    "if fmap[\"suffix\"] == \"epi\":\n",
+    "    epi_fmaps = [(fmap_['epi'], fmap_['metadata'][\"PhaseEncodingDirection\"]) for fmap_ in fmaps if fmap_['suffix'] == 'epi']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dwi_file_pe = dwi_metadata[\"PhaseEncodingDirection\"]\n",
+    "\n",
+    "usable_fieldmaps_matching_pe = []\n",
+    "usable_fieldmaps_opposite_pe = []\n",
+    "\n",
+    "for fmap, pe_dir in epi_fmaps:\n",
+    "    if pe_dir == dwi_file_pe:\n",
+    "        usable_fieldmaps_matching_pe.append(fmap)\n",
+    "    elif pe_dir[0] == dwi_file_pe[0]:\n",
+    "        usable_fieldmaps_opposite_pe.append(fmap)\n",
+    "    \n",
+    "if not usable_fieldmaps_opposite_pe:\n",
+    "    print(\"Can't use topup\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nipype.pipeline import engine as pe\n",
+    "from nipype.interfaces import fsl, utility as niu\n",
+    "\n",
+    "def init_topup_wf(epi_fmaps):\n",
+    "    \n",
+    "    PE_DIRECTION_MAPPING = {\n",
+    "    \"i\" : \"x\",\n",
+    "    \"i-\": \"x-\",\n",
+    "    \"j\" : \"y\",\n",
+    "    \"j-\" : \"y-\",\n",
+    "    \"k\" : \"z\",\n",
+    "    \"k-\" : \"z-\"\n",
+    "    }\n",
+    "    \n",
+    "    epi_file = epi_fmaps[0][0]\n",
+    "    epi_dir = PE_DIRECTION_MAPPING[epi_fmaps[0][1]]\n",
+    "    altepi_file = epi_fmaps[1][0]\n",
+    "    altepi_dir = PE_DIRECTION_MAPPING[epi_fmaps[1][1]]\n",
+    "    \n",
+    "    wf = pe.Workflow(name=\"topup_wf\")\n",
+    "        \n",
+    "    inputnode = pe.Node(\n",
+    "        niu.IdentityInterface(fields=[\"epi_file\", \"altepi_file\"]),\n",
+    "        name=\"inputnode\")    \n",
+    "    inputnode.epi_file = epi_file\n",
+    "    inputnode.altepi_file = altepi_file\n",
+    "    \n",
+    "    outputnode = pe.Node(\n",
+    "        niu.IdentityInterface(fields=[\"out_fmap\"]),\n",
+    "        name=\"outputnode\")\n",
+    "    \n",
+    "    list_merge = pe.Node(niu.Merge(numinputs=2), name=\"list_merge\")\n",
+    "    \n",
+    "    merge = pe.Node(fsl.Merge(dimension=\"t\"), name=\"mergeAPPA\")\n",
+    "        \n",
+    "    topup = pe.Node(fsl.TOPUP(), name=\"topup\")\n",
+    "    topup.inputs.encoding_direction = [epi_dir, altepi_dir]\n",
+    "    topup.inputs.readout_times = [0.05, 0.05]\n",
+    "    \n",
+    "    wf.connect(\n",
+    "        [\n",
+    "            (\n",
+    "                inputnode,\n",
+    "                list_merge,\n",
+    "                [(\"epi_file\", \"in1\"), (\"altepi_file\", \"in2\")]\n",
+    "            ),\n",
+    "            (list_merge, merge, [(\"out\", \"in_files\")]),\n",
+    "            (merge, topup, [(\"merged_file\", \"in_file\")]),\n",
+    "            (topup, outputnode, [(\"out_field\", \"out_fmap\")]),\n",
+    "        ]\n",
+    "    )\n",
+    "    \n",
+    "    return wf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "190708-19:55:05,845 nipype.workflow INFO:\n",
+      "\t Workflow topup_wf settings: ['check', 'execution', 'logging', 'monitoring']\n",
+      "190708-19:55:05,931 nipype.workflow INFO:\n",
+      "\t Running serially.\n",
+      "190708-19:55:05,933 nipype.workflow INFO:\n",
+      "\t [Node] Setting-up \"topup_wf.list_merge\" in \"/Users/Michael/projects/pipelines/dmripreproc/notebooks/outputs/topup_wf/list_merge\".\n",
+      "190708-19:55:05,943 nipype.workflow INFO:\n",
+      "\t [Node] Running \"list_merge\" (\"nipype.interfaces.utility.base.Merge\")\n",
+      "190708-19:55:06,71 nipype.workflow INFO:\n",
+      "\t [Node] Finished \"topup_wf.list_merge\".\n",
+      "190708-19:55:06,73 nipype.workflow INFO:\n",
+      "\t [Node] Setting-up \"topup_wf.mergeAPPA\" in \"/Users/Michael/projects/pipelines/dmripreproc/notebooks/outputs/topup_wf/mergeAPPA\".\n",
+      "190708-19:55:06,80 nipype.workflow WARNING:\n",
+      "\t [Node] Error on \"topup_wf.mergeAPPA\" (/Users/Michael/projects/pipelines/dmripreproc/notebooks/outputs/topup_wf/mergeAPPA)\n",
+      "190708-19:55:06,86 nipype.workflow ERROR:\n",
+      "\t Node mergeAPPA failed to run on host Michaels-iMac.local.\n",
+      "190708-19:55:06,209 nipype.workflow ERROR:\n",
+      "\t Saving crash info to /Users/Michael/projects/pipelines/dmripreproc/notebooks/crash-20190708-195506-Michael-mergeAPPA-ce285b5c-427d-40a6-81d3-1f832935f05c.pklz\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/plugins/linear.py\", line 48, in run\n",
+      "    node.run(updatehash=updatehash)\n",
+      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/nodes.py\", line 472, in run\n",
+      "    result = self._run_interface(execute=True)\n",
+      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/nodes.py\", line 563, in _run_interface\n",
+      "    return self._run_command(execute)\n",
+      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/nodes.py\", line 631, in _run_command\n",
+      "    cmd = self._interface.cmdline\n",
+      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/interfaces/base/core.py\", line 674, in cmdline\n",
+      "    allargs = [self._cmd_prefix + self.cmd] + self._parse_inputs()\n",
+      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/interfaces/base/core.py\", line 916, in _parse_inputs\n",
+      "    value = self._filename_from_source(name)\n",
+      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/interfaces/base/core.py\", line 845, in _filename_from_source\n",
+      "    source = source[0]\n",
+      "IndexError: list index out of range\n",
+      "\n",
+      "190708-19:55:06,211 nipype.workflow INFO:\n",
+      "\t ***********************************\n",
+      "190708-19:55:06,212 nipype.workflow ERROR:\n",
+      "\t could not run node: topup_wf.mergeAPPA\n",
+      "190708-19:55:06,213 nipype.workflow INFO:\n",
+      "\t crashfile: /Users/Michael/projects/pipelines/dmripreproc/notebooks/crash-20190708-195506-Michael-mergeAPPA-ce285b5c-427d-40a6-81d3-1f832935f05c.pklz\n",
+      "190708-19:55:06,214 nipype.workflow INFO:\n",
+      "\t ***********************************\n"
+     ]
+    },
+    {
+     "ename": "RuntimeError",
+     "evalue": "Workflow did not execute cleanly. Check log for details",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mRuntimeError\u001b[0m                  Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-25-74b30af2c8e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mtopup_wf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minit_topup_wf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mepi_fmaps\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtopup_wf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase_dir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput_dir\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mtopup_wf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/workflows.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, plugin, plugin_args, updatehash)\u001b[0m\n\u001b[1;32m    597\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mstr2bool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'execution'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'create_report'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    598\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_write_report_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexecgraph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 599\u001b[0;31m         \u001b[0mrunner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexecgraph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mupdatehash\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mupdatehash\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    600\u001b[0m         \u001b[0mdatestr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutcnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstrftime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'%Y%m%dT%H%M%S'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    601\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mstr2bool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'execution'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'write_provenance'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/plugins/linear.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, graph, config, updatehash)\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m         \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mold_wd\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# Return wherever we were before\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m         \u001b[0mreport_nodes_not_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnotrun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/plugins/tools.py\u001b[0m in \u001b[0;36mreport_nodes_not_run\u001b[0;34m(notrun)\u001b[0m\n\u001b[1;32m     80\u001b[0m                 \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     81\u001b[0m         \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"***********************************\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 82\u001b[0;31m         raise RuntimeError(('Workflow did not execute cleanly. '\n\u001b[0m\u001b[1;32m     83\u001b[0m                             'Check log for details'))\n\u001b[1;32m     84\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mRuntimeError\u001b[0m: Workflow did not execute cleanly. Check log for details"
+     ]
+    }
+   ],
+   "source": [
+    "topup_wf = init_topup_wf(epi_fmaps)\n",
+    "topup_wf.base_dir = output_dir\n",
+    "topup_wf.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "if using single dwi image, both dwi images or synthetic b0, must register both images before fslmerge"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Topup using dwi image"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Topup using synthetic b0"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Phasediff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subject_id = \"CMP0178\"\n",
+    "dwi_files = layout.get(subject=subject_id, datatype=\"dwi\", suffix=\"dwi\", extensions=[\".nii\", \".nii.gz\"], return_type=\"filename\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for dwi_file in dwi_files:\n",
+    "    fmaps = get_fmaps(dwi_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fmap = fmaps[0]\n",
+    "if fmap[\"suffix\"] == \"phasediff\":\n",
+    "    phasediff_file = fmap[\"phasediff\"]\n",
+    "    phasediff_metadata = fmap[\"metadata\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Phase"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subject_id = \"ZHP0130\"\n",
+    "dwi_files = layout.get(subject=subject_id, datatype=\"dwi\", suffix=\"dwi\", extensions=[\".nii\", \".nii.gz\"], return_type=\"filename\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for dwi_file in dwi_files:\n",
+    "    fmaps = get_fmaps(dwi_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'phase1': {'AcquisitionMatrixPE': 64, 'AcquisitionNumber': 1, 'AcquisitionTime': '06:05:0.000000', 'BaseResolution': 64, 'BodyPartExamined': 'BRAIN', 'ConsistencyInfo': 'N4_VE11B_LATEST_20150530', 'ConversionSoftware': 'dcm2niix', 'ConversionSoftwareVersion': 'v1.0.20180622 (JP2:OpenJPEG) (JP-LS:CharLS) GCC5.5.0', 'DeviceSerialNumber': '66106', 'DwellTime': 1.61e-05, 'EchoTime': 0.0065, 'FlipAngle': 60, 'ImageOrientationPatientDICOM': [0.998672, 0.040619, 0.0316926, -0.0416821, 0.998565, 0.0336378], 'ImageType': ['ORIGINAL', 'PRIMARY', 'P', 'ND'], 'InPlanePhaseEncodingDirectionDICOM': 'COL', 'InstitutionAddress': 'Community_Drive_300_Manhasset_NYC_US_11030', 'InstitutionalDepartmentName': 'RADIOLOGY', 'IntendedFor': ['ses-01/dwi/sub-ZHP0130_ses-01_acq-ZHP601000_run-01_dwi.nii.gz'], 'MRAcquisitionType': '2D', 'MagneticFieldStrength': 3, 'Manufacturer': 'Siemens', 'ManufacturersModelName': 'Prisma', 'Modality': 'MR', 'PartialFourier': 1, 'PatientPosition': 'HFS', 'PercentPhaseFOV': 100, 'PhaseEncodingDirection': 'j-', 'PhaseEncodingSteps': 64, 'PhaseResolution': 1, 'PixelBandwidth': 485, 'ProcedureStepDescription': 'MR_BRAIN', 'ProtocolName': 'field_map_TE=6.5ms', 'PulseSequenceDetails': '%SiemensSeq%_gre', 'ReceiveCoilActiveElements': 'HC1-7', 'ReceiveCoilName': 'HeadNeck_64', 'ReconMatrixPE': 64, 'RepetitionTime': 1.06, 'SAR': 0.122978, 'ScanOptions': 'FS', 'ScanningSequence': 'GR', 'SequenceName': '_fl2d1', 'SequenceVariant': 'SP', 'SeriesDescription': 'field_map_TE=6.5ms', 'SeriesNumber': 17, 'ShimSetting': [-1322, -10948, 554, 258, -169, -237, 5, -7], 'SliceThickness': 4, 'SoftwareVersions': 'syngo_MR_E11', 'SpacingBetweenSlices': 4, 'StationName': 'MHMRSIEM3T', 'TxRefAmp': 286.233}, 'phase2': {'AcquisitionMatrixPE': 64, 'AcquisitionNumber': 1, 'AcquisitionTime': '06:05:0.000000', 'BaseResolution': 64, 'BodyPartExamined': 'BRAIN', 'ConsistencyInfo': 'N4_VE11B_LATEST_20150530', 'ConversionSoftware': 'dcm2niix', 'ConversionSoftwareVersion': 'v1.0.20180622 (JP2:OpenJPEG) (JP-LS:CharLS) GCC5.5.0', 'DeviceSerialNumber': '66106', 'DwellTime': 1.61e-05, 'EchoTime': 0.0085, 'FlipAngle': 60, 'ImageOrientationPatientDICOM': [0.998672, 0.040619, 0.0316926, -0.0416821, 0.998565, 0.0336378], 'ImageType': ['ORIGINAL', 'PRIMARY', 'P', 'ND'], 'InPlanePhaseEncodingDirectionDICOM': 'COL', 'InstitutionAddress': 'Community_Drive_300_Manhasset_NYC_US_11030', 'InstitutionalDepartmentName': 'RADIOLOGY', 'IntendedFor': ['ses-01/dwi/sub-ZHP0130_ses-01_acq-ZHP601000_run-01_dwi.nii.gz'], 'MRAcquisitionType': '2D', 'MagneticFieldStrength': 3, 'Manufacturer': 'Siemens', 'ManufacturersModelName': 'Prisma', 'Modality': 'MR', 'PartialFourier': 1, 'PatientPosition': 'HFS', 'PercentPhaseFOV': 100, 'PhaseEncodingDirection': 'j-', 'PhaseEncodingSteps': 64, 'PhaseResolution': 1, 'PixelBandwidth': 485, 'ProcedureStepDescription': 'MR_BRAIN', 'ProtocolName': 'field_map_TE=8.5ms', 'PulseSequenceDetails': '%SiemensSeq%_gre', 'ReceiveCoilActiveElements': 'HC1-7', 'ReceiveCoilName': 'HeadNeck_64', 'ReconMatrixPE': 64, 'RepetitionTime': 1.06, 'SAR': 0.122978, 'ScanOptions': 'FS', 'ScanningSequence': 'GR', 'SequenceName': '_fl2d1', 'SequenceVariant': 'SP', 'SeriesDescription': 'field_map_TE=8.5ms', 'SeriesNumber': 19, 'ShimSetting': [-1322, -10948, 554, 258, -169, -237, 5, -7], 'SliceThickness': 4, 'SoftwareVersions': 'syngo_MR_E11', 'SpacingBetweenSlices': 4, 'StationName': 'MHMRSIEM3T', 'TxRefAmp': 286.233}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "fmap = fmaps[0]\n",
+    "if fmap[\"suffix\"] == \"phase\":\n",
+    "    phase1_file = fmap"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Fieldmap"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def to_rads(in_file, out_file):\n",
+    "    from math import pi\n",
+    "    import nibabel as nib\n",
+    "    \n",
+    "    fmap_img = nib.load(in_file)\n",
+    "    fmap_data = fmap_img.get_data()\n",
+    "    \n",
+    "    fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
+    "    \n",
+    "    fmap_data = fmap_data * (pi / fmap_range)\n",
+    "    \n",
+    "    out_img = nib.Nifti1Image(fmap_data, fmap_img.affine, fmap_img.header)\n",
+    "    out_img.set_data_dtype('float32')\n",
+    "    out_img.to_filename(out_file)\n",
+    "    \n",
+    "    return out_file, fmap_range"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def to_hz(in_file, range_hz, out_file):\n",
+    "    from math import pi\n",
+    "    import nibabel as nib\n",
+    "    \n",
+    "    fmap_img = nib.load(in_file)\n",
+    "    fmap_data = fmap_img.get_data()\n",
+    "    \n",
+    "    fmap_data = fmap_data * (range_hz / pi)\n",
+    "    out_img = nib.Nifti1Image(fmap_data, fmap_img.affine, fmap_img.header)\n",
+    "    out_img.set_data_dtype('float32')\n",
+    "    out_img.to_filename(out_file)\n",
+    "    \n",
+    "    return out_file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fmap_file = \"{}/sub-CMH0171/ses-01/fmap/sub-CMH0171_ses-01_run-01_fieldmap.nii.gz\".format(base_dir)\n",
+    "\n",
+    "out_file, fmap_range = to_rads(fmap_file, fmap_file.replace('.nii.gz', '_rad.nii.gz'))\n",
+    "\n",
+    "new_out_file = to_hz(out_file, fmap_range, out_file.replace('_rad.nii.gz', '_hz.nii.gz'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048.7444\n"
+     ]
+    }
+   ],
+   "source": [
+    "fmap_img = nib.load(fmap_file)\n",
+    "fmap_data = fmap_img.get_data()\n",
+    "\n",
+    "fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
+    "print(fmap_range)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3.1415927\n"
+     ]
+    }
+   ],
+   "source": [
+    "fmap_img = nib.load(out_file)\n",
+    "fmap_data = fmap_img.get_data()\n",
+    "\n",
+    "fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
+    "print(fmap_range)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048.7446\n"
+     ]
+    }
+   ],
+   "source": [
+    "fmap_img = nib.load(new_out_file)\n",
+    "fmap_data = fmap_img.get_data()\n",
+    "\n",
+    "fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
+    "print(fmap_range)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<nilearn.plotting.displays.OrthoSlicer at 0x7f1ca9b05668>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 475.2x187.2 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_anat(fmap_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<nilearn.plotting.displays.OrthoSlicer at 0x7f1ca9ac7438>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 475.2x187.2 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_anat(out_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<nilearn.plotting.displays.OrthoSlicer at 0x7f1ca9a6d1d0>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 475.2x187.2 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_anat(new_out_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dwi_venv",
+   "language": "python",
+   "name": "dwi_venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/make_qc.ipynb b/notebooks/make_qc.ipynb
new file mode 100644
index 00000000..96691f85
--- /dev/null
+++ b/notebooks/make_qc.ipynb
@@ -0,0 +1,395 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from docopt import docopt\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import tempfile\n",
+    "import shutil\n",
+    "from glob import glob\n",
+    "import sys\n",
+    "import subprocess as proc\n",
+    "\n",
+    "import datman as dm\n",
+    "import datman.utils"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "output_dir = '/scratch/smansour/CARTBIND/combined/dmriprep'\n",
+    "dtifit_dir = '/scratch/mjoseph/test/dtifit'\n",
+    "QCdir = os.path.join(dtifit_dir, 'QC')\n",
+    "tmpdirbase = os.path.join(QCdir,'tmp')\n",
+    "QC_bet_dir = os.path.join(QCdir,'BET')\n",
+    "QC_V1_dir = os.path.join(QCdir, 'directions')\n",
+    "QC_FM_dir = os.path.join(QCdir, 'FM')\n",
+    "QC_Mag_dir = os.path.join(QCdir, 'Mag')\n",
+    "QC_res_dir = os.path.join(QCdir, 'res')\n",
+    "QC_SH_dir = os.path.join(QCdir, 'SH')\n",
+    "\n",
+    "dir_list = [tmpdirbase, QC_bet_dir, QC_V1_dir, QC_res_dir, QC_SH_dir]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for qc_dir in dir_list:\n",
+    "    if not os.path.exists(qc_dir):\n",
+    "        os.makedirs(qc_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "grad_out = os.path.join(tmpdirbase,'ramp.gif')\n",
+    "create_gradient_file(grad_out,'red-yellow')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "maskpics = []\n",
+    "V1pics = []\n",
+    "Respics = []\n",
+    "SHpics = []"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "allFAmaps = glob('{}/sub-*/ses-*/dwi/dtifit__FA*'.format(output_dir))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for FAmap in allFAmaps:\n",
+    "    subid = FAmap.split('/')[-4]\n",
+    "    sesid = FAmap.split('/')[-3]\n",
+    "    tmpdir = os.path.join(tmpdirbase, subid, sesid)\n",
+    "    if not os.path.exists(tmpdir):\n",
+    "        os.makedirs(tmpdir)\n",
+    "    basename = '{}_{}_'.format(subid, sesid)\n",
+    "    pathbase = FAmap.replace('dtifit__FA.nii.gz','')\n",
+    "    pathdir = os.path.dirname(pathbase)\n",
+    "    SHtmp = os.path.join(tmpdir,'SHmap.gif')\n",
+    "    SHpic = os.path.join(QC_SH_dir,basename + 'SH.gif')\n",
+    "    SHpics.append(SHpic)\n",
+    "    SH_overlay(os.path.join(pathdir,'eddy_corrected_noise.nii.gz'), SHtmp, grad_out)\n",
+    "    if os.path.exists(os.path.join(pathdir,'eddy_corrected_noise.nii.gz')):\n",
+    "        gif_gridtoline(SHtmp,SHpic)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "run(slices /scratch/smansour/CARTBIND/combined/dmriprep/sub-034/ses-01/dwi/sub-034_ses-01_dwi_denoised_unr_avg_b0_brain.nii.gz /scratch/smansour/CARTBIND/combined/dmriprep/sub-034/ses-01/dwi/sub-034_ses-01_dwi_denoised_unr_avg_b0_brain_mask.nii.gz -o /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif) failed with returncode 1. STDERR: b''\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -resize 384x384 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -crop 100x33%+0+0 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/sag.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/sag.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -crop 100x33%+0+128 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/cor.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/cor.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -crop 100x33%+0+256 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/ax.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/ax.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
+      "run(slices /scratch/smansour/CARTBIND/combined/dmriprep/sub-098/ses-01/dwi/sub-098_ses-01_dwi_denoised_unr_avg_b0_brain.nii.gz /scratch/smansour/CARTBIND/combined/dmriprep/sub-098/ses-01/dwi/sub-098_ses-01_dwi_denoised_unr_avg_b0_brain_mask.nii.gz -o /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif) failed with returncode 1. STDERR: b''\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -resize 384x384 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -crop 100x33%+0+0 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/sag.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/sag.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -crop 100x33%+0+128 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/cor.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/cor.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
+      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -crop 100x33%+0+256 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/ax.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/ax.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n"
+     ]
+    }
+   ],
+   "source": [
+    "for FAmap in allFAmaps:\n",
+    "    subid = FAmap.split('/')[-4]\n",
+    "    sesid = FAmap.split('/')[-3]\n",
+    "    tmpdir = os.path.join(tmpdirbase, subid, sesid)\n",
+    "    if not os.path.exists(tmpdir):\n",
+    "        os.makedirs(tmpdir)\n",
+    "    basename = '{}_{}_'.format(subid, sesid)\n",
+    "    pathbase = FAmap.replace('dtifit__FA.nii.gz','')\n",
+    "    pathdir = os.path.dirname(pathbase)\n",
+    "\n",
+    "    maskpic = os.path.join(QC_bet_dir,basename + 'b0_bet_mask.gif')\n",
+    "    maskpics.append(maskpic)\n",
+    "    mask_overlay(os.path.join(pathdir,'{}_{}_dwi_denoised_unr_avg_b0_brain.nii.gz'.format(subid, sesid)), \n",
+    "                 os.path.join(pathdir,'{}_{}_dwi_denoised_unr_avg_b0_brain_mask.nii.gz'.format(subid, sesid)), maskpic)\n",
+    "    V1pic = os.path.join(QC_V1_dir,basename + 'dtifit_V1.gif')\n",
+    "    V1pics.append(V1pic)\n",
+    "    V1_overlay(FAmap,pathbase + 'dtifit__V1.nii.gz', V1pic)\n",
+    "\n",
+    "#    SHtmp = os.path.join(tmpdir,'SHmap.gif')\n",
+    "#    SHpic = os.path.join(QC_SH_dir,basename + 'SH.gif')\n",
+    "#    SHpics.append(SHpic)\n",
+    "#    SH_overlay(os.path.join(pathdir,'eddy_corrected_noise.nii.gz'), SHtmp, grad_out)\n",
+    "#    gif_gridtoline(SHtmp,SHpic)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "qchtml = open(os.path.join(QCdir,'qc_BET.html'),'w')\n",
+    "qchtml.write('<HTML><TITLE>DTIFIT BET QC page</TITLE>')\n",
+    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
+    "qchtml.write('<h1><font color=\"white\">DTIFIT BET QC page</font></h1>')\n",
+    "for pic in maskpics:\n",
+    "    relpath = os.path.relpath(pic,QCdir)\n",
+    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
+    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
+    "    qchtml.write(relpath + '</a><br>\\n')\n",
+    "qchtml.write('</BODY></HTML>\\n')\n",
+    "qchtml.close() # you can omit in most cases as the destructor will call it\n",
+    "\n",
+    "## write an html page that shows all the V1 pics\n",
+    "qchtml = open(os.path.join(QCdir,'qc_directions.html'),'w')\n",
+    "qchtml.write('<HTML><TITLE>DTIFIT directions QC page</TITLE>')\n",
+    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
+    "qchtml.write('<h1><font color=\"white\">DTIFIT directions QC page</font></h1>')\n",
+    "for pic in V1pics:\n",
+    "    relpath = os.path.relpath(pic,QCdir)\n",
+    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
+    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
+    "    qchtml.write(relpath + '</a><br>\\n')\n",
+    "qchtml.write('</BODY></HTML>\\n')\n",
+    "qchtml.close() # you can omit in most cases as the destructor will call it\n",
+    "\n",
+    "# write an html page that shows all the SH residual pics\n",
+    "qchtml = open(os.path.join(QCdir,'qc_SH.html'),'w')\n",
+    "qchtml.write('<HTML><TITLE>SH residual QC page</TITLE>')\n",
+    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
+    "qchtml.write('<h1><font color=\"white\">SH residual QC page</font></h1>')\n",
+    "for pic in SHpics:\n",
+    "    relpath = os.path.relpath(pic,QCdir)\n",
+    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
+    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
+    "    qchtml.write(relpath + '</a><br>\\n')\n",
+    "qchtml.write('</BODY></HTML>\\n')\n",
+    "qchtml.close() # you can omit in most cases as the destructor will call it\n",
+    "\n",
+    "## write an html page that shows all the Res pics\n",
+    "qchtml = open(os.path.join(QCdir,'qc_res.html'),'w')\n",
+    "qchtml.write('<HTML><TITLE>DTIFIT residual QC page</TITLE>')\n",
+    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
+    "qchtml.write('<h1><font color=\"white\">DTIFIT residual QC page</font></h1>')\n",
+    "for pic in Respics:\n",
+    "    relpath = os.path.relpath(pic,QCdir)\n",
+    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
+    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
+    "    qchtml.write(relpath + '</a><br>\\n')\n",
+    "qchtml.write('</BODY></HTML>\\n')\n",
+    "qchtml.close() # you can omit in most cases as the destructor will call it"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def gif_gridtoline(input_gif,output_gif):\n",
+    "    '''\n",
+    "    uses imagemagick to take a grid from fsl slices and convert to one line (like in slicesdir)\n",
+    "    '''\n",
+    "    dm.utils.run(['convert',input_gif, '-resize', '384x384',input_gif])\n",
+    "    dm.utils.run(['convert', input_gif,\\\n",
+    "        '-crop', '100x33%+0+0', os.path.join(tmpdir,'sag.gif')])\n",
+    "    dm.utils.run(['convert', input_gif,\\\n",
+    "        '-crop', '100x33%+0+128', os.path.join(tmpdir,'cor.gif')])\n",
+    "    dm.utils.run(['convert', input_gif,\\\n",
+    "        '-crop', '100x33%+0+256', os.path.join(tmpdir,'ax.gif')])\n",
+    "    dm.utils.run(['montage', '-mode', 'concatenate', '-tile', '3x1', \\\n",
+    "        os.path.join(tmpdir,'sag.gif'),\\\n",
+    "        os.path.join(tmpdir,'cor.gif'),\\\n",
+    "        os.path.join(tmpdir,'ax.gif'),\\\n",
+    "        os.path.join(output_gif)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def mask_overlay(background_nii,mask_nii, overlay_gif):\n",
+    "    '''\n",
+    "    use slices from fsl to overlay the mask on the background (both nii)\n",
+    "    then make the grid to a line for easier scrolling during QC\n",
+    "    '''\n",
+    "    dm.utils.run(['slices', background_nii, mask_nii, '-o', os.path.join(tmpdir,'B0masked.gif')])\n",
+    "    gif_gridtoline(os.path.join(tmpdir,'B0masked.gif'),overlay_gif)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def V1_overlay(background_nii,V1_nii, overlay_gif):\n",
+    "    '''\n",
+    "    use fslsplit to split the V1 image and take pictures of each direction\n",
+    "    use slices from fsl to get the background and V1 picks (both nii)\n",
+    "    recolor the V1 image using imagemagick\n",
+    "    then make the grid to a line for easier scrolling during QC\n",
+    "    '''\n",
+    "    dm.utils.run(['slices',background_nii,'-o',os.path.join(tmpdir,\"background.gif\")])\n",
+    "    dm.utils.run(['fslmaths',background_nii,'-thr','0.15','-bin',os.path.join(tmpdir,'FAmask.nii.gz')])\n",
+    "    dm.utils.run(['fslsplit', V1_nii, os.path.join(tmpdir,\"V1\")])\n",
+    "    for axis in ['0000','0001','0002']:\n",
+    "        dm.utils.run(['fslmaths',os.path.join(tmpdir,'V1'+axis+'.nii.gz'), '-abs', \\\n",
+    "            '-mul', os.path.join(tmpdir,'FAmask.nii.gz'), os.path.join(tmpdir,'V1'+axis+'abs.nii.gz')])\n",
+    "        dm.utils.run(['slices',os.path.join(tmpdir,'V1'+axis+'abs.nii.gz'),'-o',os.path.join(tmpdir,'V1'+axis+'abs.gif')])\n",
+    "        # docmd(['convert', os.path.join(tmpdir,'V1'+axis+'abs.gif'),\\\n",
+    "        #         '-fuzz', '15%', '-transparent', 'black', os.path.join(tmpdir,'V1'+axis+'set.gif')])\n",
+    "    dm.utils.run(['convert', os.path.join(tmpdir,'V10000abs.gif'),\\\n",
+    "        os.path.join(tmpdir,'V10001abs.gif'), os.path.join(tmpdir,'V10002abs.gif'),\\\n",
+    "        '-set', 'colorspace', 'RGB', '-combine', '-set', 'colorspace', 'sRGB',\\\n",
+    "        os.path.join(tmpdir,'dirmap.gif')])\n",
+    "    gif_gridtoline(os.path.join(tmpdir,'dirmap.gif'),overlay_gif)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def SSE_overlay(sse,out,grad):\n",
+    "    '''\n",
+    "    Arguments:\n",
+    "        sse                        Full path to SSE file\n",
+    "        out                        Full path to output\n",
+    "        grad                       Full path to gradient look-up map\n",
+    "\n",
+    "    Steps:\n",
+    "    1. Clever/Hacky thresholding so maximum intensity is 2\n",
+    "    2. Generate slices\n",
+    "    3. Use gradient map to color greyscale image\n",
+    "    4. Background filling with 0 fuzziness to prevent leakage\n",
+    "    '''\n",
+    "    slice_out = out.replace('.nii.gz','.gif')\n",
+    "    cmd1 = 'fslmaths {} -sub 3 -mul -1 -thr 0 -mul -1 -add 3 {}'.format(sse,out)\n",
+    "    cmd2 = 'slices {} -o {}'.format(out, slice_out)\n",
+    "    cmd3 = 'convert {} {} -clut {}'.format(slice_out, grad, slice_out)\n",
+    "    cmd4 = 'convert {} -fill black -draw \"color 0,0 floodfill\" {}'.format(slice_out,slice_out)\n",
+    "    cmdlist = [cmd1, cmd2, cmd3, cmd4]\n",
+    "    outputs = [call(c) for c in cmdlist]\n",
+    "    return"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def SH_overlay(SH,out,grad):\n",
+    "    '''\n",
+    "    Arguments:\n",
+    "        SH                         Full path to SSE file\n",
+    "        out                        Full path to output\n",
+    "        grad                       Full path to gradient look-up map\n",
+    "\n",
+    "    Steps:\n",
+    "    1. Clever/Hacky thresholding so maximum intensity is 2\n",
+    "    2. Generate slices\n",
+    "    3. Use gradient map to color greyscale image\n",
+    "    4. Background filling with 0 fuzziness to prevent leakage\n",
+    "    '''\n",
+    "    slice_out = out.replace('.nii.gz','.gif')\n",
+    "    cmd1 = 'fslmaths {} -sub 0.3 -mul -1 -thr 0 -mul -1 -add 0.3 {}'.format(SH,out)\n",
+    "    cmd2 = 'slices {} -o {}'.format(out, slice_out)\n",
+    "    cmd3 = 'convert {} {} -clut {}'.format(slice_out, grad, slice_out)\n",
+    "    cmd4 = 'convert {} -fill black -draw \"color 0,0 floodfill\" {}'.format(slice_out,slice_out)\n",
+    "    cmdlist = [cmd1, cmd2, cmd3, cmd4]\n",
+    "    outputs = [call(c) for c in cmdlist]\n",
+    "    return"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def create_gradient_file(output,color):\n",
+    "    '''\n",
+    "    Arguments:\n",
+    "        output                    Full path to output file\n",
+    "        color                     String argument of Image-Magick 'color:color'\n",
+    "    '''\n",
+    "\n",
+    "    cmd = 'convert -size 10x20 gradient:{} {}'.format(color,output)\n",
+    "    call(cmd)\n",
+    "    return"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def call(cmd):\n",
+    "    p = proc.Popen(cmd,shell=True,stdin=proc.PIPE, stderr=proc.PIPE)\n",
+    "    std, err = p.communicate()\n",
+    "\n",
+    "    if p.returncode:\n",
+    "        print('{} failed with error {}'.format(cmd,err))\n",
+    "    return"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_sse(sub):\n",
+    "    sse = '{}_dtifit_sse.nii.gz'.format(sub)\n",
+    "    return os.path.join(dtifitdir,sub,sse)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "tigrlab_venv",
+   "language": "python",
+   "name": "tigrlab_venv"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/slice_timing.ipynb b/notebooks/slice_timing.ipynb
new file mode 100644
index 00000000..fdda1ad4
--- /dev/null
+++ b/notebooks/slice_timing.ipynb
@@ -0,0 +1,939 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import json\n",
+    "from glob import glob\n",
+    "\n",
+    "from collections import defaultdict\n",
+    "\n",
+    "import nibabel as nib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0001_01/SPN01_CMH_0001_01_01_DTI60-1000_20_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0002_01/SPN01_CMH_0002_01_02_DTI60-1000_05_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0004_01/SPN01_CMH_0004_01_02_DTI60-1000_05_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0005_01/SPN01_CMH_0005_01_01_DTI60-1000_22_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0007_01/SPN01_CMH_0007_01_01_DTI60-1000_17_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0008_01/SPN01_CMH_0008_01_01_DTI60-1000_19_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0009_01/SPN01_CMH_0009_01_01_DTI60-1000_21_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0011_01/SPN01_CMH_0011_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0012_01/SPN01_CMH_0012_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0013_01/SPN01_CMH_0013_01_01_DTI60-1000_18_Ax-DTI-60plus5.json\n",
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+      "/archive/data/SPINS/data/nii/SPN01_CMH_P001_01/SPN01_CMH_P001_01_01_DTI60-1000_17_Ax-DTI-60plus5.json\n",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/archive/data/SPINS/data/nii/SPN01_CMH_P001_03/SPN01_CMH_P001_03_01_DTI60-1000_10_Ax-DTI-60plus5-20iso.json\n",
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+      "/archive/data/SPINS/data/nii/SPN01_CMH_P002_03/SPN01_CMH_P002_03_01_DTI60-1000_10_Ax-DTI-60plus5-20iso.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_P003_01/SPN01_CMH_P003_01_01_DTI60-1000_16_Ax-DTI-60plus5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_P003_02/SPN01_CMH_P003_02_01_DTI60-1000_08_Ax-DTI-60plus5-20iso.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_P003_03/SPN01_CMH_P003_03_01_DTI60-1000_10_Ax-DTI-60plus5-20iso.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0172_01/SPN01_CMP_0172_01_01_DTI60-1000_17_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0175_01/SPN01_CMP_0175_01_01_DTI60-1000_17_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0178_01/SPN01_CMP_0178_01_01_DTI60-1000_17_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0179_01/SPN01_CMP_0179_01_01_DTI60-1000_18_ep2d-diff-4scan-trace-p2-2mm.json\n",
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+      "/archive/data/SPINS/data/nii/SPN01_CMP_0182_02/SPN01_CMP_0182_02_01_DTI60-1000_17_ep2d-diff-4scan-trace-p2-2mm.json\n",
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+      "/archive/data/SPINS/data/nii/SPN01_CMP_0185_01/SPN01_CMP_0185_01_01_DTI60-1000_18_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0186_01/SPN01_CMP_0186_01_01_DTI60-1000_18_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0187_01/SPN01_CMP_0187_01_01_DTI60-1000_19_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0188_01/SPN01_CMP_0188_01_01_DTI60-1000_28_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0190_01/SPN01_CMP_0190_01_01_DTI60-1000_20_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0191_02/SPN01_CMP_0191_02_01_DTI60-1000_21_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0192_01/SPN01_CMP_0192_01_01_DTI60-1000_18_ep2d-diff-4scan-trace-p2-2mm.json\n",
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+      "/archive/data/SPINS/data/nii/SPN01_CMP_P001_04/SPN01_CMP_P001_04_02_DTI60-1000_07_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_P002_04/SPN01_CMP_P002_04_01_DTI60-1000_10_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_P003_04/SPN01_CMP_P003_04_01_DTI60-1000_10_ep2d-diff-4scan-trace-p2-2mm.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_P998_01/SPN01_CMP_P998_01_01_DTI60-1000_12_ep2d-diff-4scan-trace-p2-2mm.json\n",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0018_01/SPN01_ZHH_0018_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0019_01/SPN01_ZHH_0019_01_01_DTI60-1000_20_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0020_01/SPN01_ZHH_0020_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0021_01/SPN01_ZHH_0021_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0022_01/SPN01_ZHH_0022_01_01_DTI60-1000_23_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0023_01/SPN01_ZHH_0023_01_01_DTI60-1000_21_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0024_01/SPN01_ZHH_0024_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0025_01/SPN01_ZHH_0025_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0028_01/SPN01_ZHH_0028_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0029_01/SPN01_ZHH_0029_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0030_01/SPN01_ZHH_0030_01_01_DTI60-1000_21_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0031_01/SPN01_ZHH_0031_01_01_DTI60-1000_13_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0032_01/SPN01_ZHH_0032_01_01_DTI60-1000_25_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0033_01/SPN01_ZHH_0033_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0037_01/SPN01_ZHH_0037_01_01_DTI60-1000_20_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0038_01/SPN01_ZHH_0038_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0039_01/SPN01_ZHH_0039_01_01_DTI60-1000_22_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0040_01/SPN01_ZHH_0040_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0041_01/SPN01_ZHH_0041_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0043_01/SPN01_ZHH_0043_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0045_01/SPN01_ZHH_0045_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0047_01/SPN01_ZHH_0047_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0048_01/SPN01_ZHH_0048_01_01_DTI60-1000_14_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0052_01/SPN01_ZHH_0052_01_01_DTI60-1000_21_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0053_01/SPN01_ZHH_0053_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0054_01/SPN01_ZHH_0054_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0056_01/SPN01_ZHH_0056_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0057_01/SPN01_ZHH_0057_01_01_DTI60-1000_14_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_0060_01/SPN01_ZHH_0060_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_9999_01/SPN01_ZHH_9999_01_01_DTI60-1000_19_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_P001_01/SPN01_ZHH_P001_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_P001_02/SPN01_ZHH_P001_02_01_DTI60-1000_11_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_P002_01/SPN01_ZHH_P002_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_P002_02/SPN01_ZHH_P002_02_01_DTI60-1000_14_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_P003_01/SPN01_ZHH_P003_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHH_P003_02/SPN01_ZHH_P003_02_01_DTI60-1000_10_DTI-B-1000-60+5.json\n"
+     ]
+    }
+   ],
+   "source": [
+    "dwi_jsons = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*json'))\n",
+    "\n",
+    "slice_timings = []\n",
+    "\n",
+    "for i in dwi_jsons:\n",
+    "    with open(i, 'r') as f:\n",
+    "        json_dict = json.load(f)\n",
+    "    try:\n",
+    "        timing = json_dict['SliceTiming']\n",
+    "        if not timing in slice_timings:\n",
+    "            slice_timings.append(timing)\n",
+    "    except:\n",
+    "        print(i)\n",
+    "        continue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dwi_jsons = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*json'))\n",
+    "\n",
+    "slice_orders = []\n",
+    "\n",
+    "for i in dwi_jsons:\n",
+    "    with open(i, 'r') as f:\n",
+    "        json_dict = json.load(f)\n",
+    "    try:\n",
+    "        timing = json_dict['SliceTiming']\n",
+    "        slice_order = sorted(range(len(timing)),key=timing.__getitem__)\n",
+    "        if not slice_order in slice_orders:\n",
+    "            slice_orders.append(slice_order)\n",
+    "    except:\n",
+    "        continue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "slice_order"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[[1,\n",
+       "  3,\n",
+       "  5,\n",
+       "  7,\n",
+       "  9,\n",
+       "  11,\n",
+       "  13,\n",
+       "  15,\n",
+       "  17,\n",
+       "  19,\n",
+       "  21,\n",
+       "  23,\n",
+       "  25,\n",
+       "  27,\n",
+       "  29,\n",
+       "  31,\n",
+       "  33,\n",
+       "  35,\n",
+       "  37,\n",
+       "  39,\n",
+       "  41,\n",
+       "  43,\n",
+       "  45,\n",
+       "  47,\n",
+       "  49,\n",
+       "  51,\n",
+       "  53,\n",
+       "  55,\n",
+       "  57,\n",
+       "  59,\n",
+       "  61,\n",
+       "  63,\n",
+       "  65,\n",
+       "  0,\n",
+       "  2,\n",
+       "  4,\n",
+       "  6,\n",
+       "  8,\n",
+       "  10,\n",
+       "  12,\n",
+       "  14,\n",
+       "  16,\n",
+       "  18,\n",
+       "  20,\n",
+       "  22,\n",
+       "  24,\n",
+       "  26,\n",
+       "  28,\n",
+       "  30,\n",
+       "  32,\n",
+       "  34,\n",
+       "  36,\n",
+       "  38,\n",
+       "  40,\n",
+       "  42,\n",
+       "  44,\n",
+       "  46,\n",
+       "  48,\n",
+       "  50,\n",
+       "  52,\n",
+       "  54,\n",
+       "  56,\n",
+       "  58,\n",
+       "  60,\n",
+       "  62,\n",
+       "  64],\n",
+       " [1,\n",
+       "  3,\n",
+       "  5,\n",
+       "  7,\n",
+       "  9,\n",
+       "  11,\n",
+       "  13,\n",
+       "  15,\n",
+       "  17,\n",
+       "  19,\n",
+       "  21,\n",
+       "  23,\n",
+       "  25,\n",
+       "  27,\n",
+       "  29,\n",
+       "  31,\n",
+       "  33,\n",
+       "  35,\n",
+       "  37,\n",
+       "  39,\n",
+       "  41,\n",
+       "  43,\n",
+       "  45,\n",
+       "  47,\n",
+       "  49,\n",
+       "  51,\n",
+       "  53,\n",
+       "  55,\n",
+       "  57,\n",
+       "  59,\n",
+       "  61,\n",
+       "  63,\n",
+       "  65,\n",
+       "  67,\n",
+       "  69,\n",
+       "  71,\n",
+       "  73,\n",
+       "  0,\n",
+       "  2,\n",
+       "  4,\n",
+       "  6,\n",
+       "  8,\n",
+       "  10,\n",
+       "  12,\n",
+       "  14,\n",
+       "  16,\n",
+       "  18,\n",
+       "  20,\n",
+       "  22,\n",
+       "  24,\n",
+       "  26,\n",
+       "  28,\n",
+       "  30,\n",
+       "  32,\n",
+       "  34,\n",
+       "  36,\n",
+       "  38,\n",
+       "  40,\n",
+       "  42,\n",
+       "  44,\n",
+       "  46,\n",
+       "  48,\n",
+       "  50,\n",
+       "  52,\n",
+       "  54,\n",
+       "  56,\n",
+       "  58,\n",
+       "  60,\n",
+       "  62,\n",
+       "  64,\n",
+       "  66,\n",
+       "  68,\n",
+       "  70,\n",
+       "  72]]"
+      ]
+     },
+     "execution_count": 138,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "slice_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[2,\n",
+       " 4,\n",
+       " 6,\n",
+       " 8,\n",
+       " 10,\n",
+       " 12,\n",
+       " 14,\n",
+       " 16,\n",
+       " 18,\n",
+       " 20,\n",
+       " 22,\n",
+       " 24,\n",
+       " 26,\n",
+       " 28,\n",
+       " 30,\n",
+       " 32,\n",
+       " 34,\n",
+       " 36,\n",
+       " 38,\n",
+       " 40,\n",
+       " 42,\n",
+       " 44,\n",
+       " 46,\n",
+       " 48,\n",
+       " 50,\n",
+       " 52,\n",
+       " 54,\n",
+       " 56,\n",
+       " 58,\n",
+       " 60,\n",
+       " 62,\n",
+       " 64,\n",
+       " 66,\n",
+       " 1,\n",
+       " 3,\n",
+       " 5,\n",
+       " 7,\n",
+       " 9,\n",
+       " 11,\n",
+       " 13,\n",
+       " 15,\n",
+       " 17,\n",
+       " 19,\n",
+       " 21,\n",
+       " 23,\n",
+       " 25,\n",
+       " 27,\n",
+       " 29,\n",
+       " 31,\n",
+       " 33,\n",
+       " 35,\n",
+       " 37,\n",
+       " 39,\n",
+       " 41,\n",
+       " 43,\n",
+       " 45,\n",
+       " 47,\n",
+       " 49,\n",
+       " 51,\n",
+       " 53,\n",
+       " 55,\n",
+       " 57,\n",
+       " 59,\n",
+       " 61,\n",
+       " 63,\n",
+       " 65]"
+      ]
+     },
+     "execution_count": 135,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "slice_order"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[[2,\n",
+       "  4,\n",
+       "  6,\n",
+       "  8,\n",
+       "  10,\n",
+       "  12,\n",
+       "  14,\n",
+       "  16,\n",
+       "  18,\n",
+       "  20,\n",
+       "  22,\n",
+       "  24,\n",
+       "  26,\n",
+       "  28,\n",
+       "  30,\n",
+       "  32,\n",
+       "  34,\n",
+       "  36,\n",
+       "  38,\n",
+       "  40,\n",
+       "  42,\n",
+       "  44,\n",
+       "  46,\n",
+       "  48,\n",
+       "  50,\n",
+       "  52,\n",
+       "  54,\n",
+       "  56,\n",
+       "  58,\n",
+       "  60,\n",
+       "  62,\n",
+       "  64,\n",
+       "  66,\n",
+       "  1,\n",
+       "  3,\n",
+       "  5,\n",
+       "  7,\n",
+       "  9,\n",
+       "  11,\n",
+       "  13,\n",
+       "  15,\n",
+       "  17,\n",
+       "  19,\n",
+       "  21,\n",
+       "  23,\n",
+       "  25,\n",
+       "  27,\n",
+       "  29,\n",
+       "  31,\n",
+       "  33,\n",
+       "  35,\n",
+       "  37,\n",
+       "  39,\n",
+       "  41,\n",
+       "  43,\n",
+       "  45,\n",
+       "  47,\n",
+       "  49,\n",
+       "  51,\n",
+       "  53,\n",
+       "  55,\n",
+       "  57,\n",
+       "  59,\n",
+       "  61,\n",
+       "  63,\n",
+       "  65],\n",
+       " [2,\n",
+       "  4,\n",
+       "  6,\n",
+       "  8,\n",
+       "  10,\n",
+       "  12,\n",
+       "  14,\n",
+       "  16,\n",
+       "  18,\n",
+       "  20,\n",
+       "  22,\n",
+       "  24,\n",
+       "  26,\n",
+       "  28,\n",
+       "  30,\n",
+       "  32,\n",
+       "  34,\n",
+       "  36,\n",
+       "  38,\n",
+       "  40,\n",
+       "  42,\n",
+       "  44,\n",
+       "  46,\n",
+       "  48,\n",
+       "  50,\n",
+       "  52,\n",
+       "  54,\n",
+       "  56,\n",
+       "  58,\n",
+       "  60,\n",
+       "  62,\n",
+       "  64,\n",
+       "  66,\n",
+       "  68,\n",
+       "  70,\n",
+       "  72,\n",
+       "  74,\n",
+       "  1,\n",
+       "  3,\n",
+       "  5,\n",
+       "  7,\n",
+       "  9,\n",
+       "  11,\n",
+       "  13,\n",
+       "  15,\n",
+       "  17,\n",
+       "  19,\n",
+       "  21,\n",
+       "  23,\n",
+       "  25,\n",
+       "  27,\n",
+       "  29,\n",
+       "  31,\n",
+       "  33,\n",
+       "  35,\n",
+       "  37,\n",
+       "  39,\n",
+       "  41,\n",
+       "  43,\n",
+       "  45,\n",
+       "  47,\n",
+       "  49,\n",
+       "  51,\n",
+       "  53,\n",
+       "  55,\n",
+       "  57,\n",
+       "  59,\n",
+       "  61,\n",
+       "  63,\n",
+       "  65,\n",
+       "  67,\n",
+       "  69,\n",
+       "  71,\n",
+       "  73]]"
+      ]
+     },
+     "execution_count": 132,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "slice_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0001_01/SPN01_CMH_0001_01_01_DTI60-1000_20_Ax-DTI-60plus5.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0023_01/SPN01_CMH_0023_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0026_01/SPN01_CMH_0026_01_01_DTI60-1000_17_Ax-DTI-60plus5-20iso.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0134_01/SPN01_CMH_0134_01_01_DTI60-1000_16_Ax-DTI-60plus5-20iso.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMH_0164_01/SPN01_CMH_0164_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_CMP_0191_02/SPN01_CMP_0191_02_01_DTI60-1000_21_ep2d-diff-4scan-trace-p2-2mm.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHP_P001_03/SPN01_ZHP_P001_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHP_P002_03/SPN01_ZHP_P002_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n"
+     ]
+    }
+   ],
+   "source": [
+    "dwi_niis = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*nii.gz'))\n",
+    "\n",
+    "unique_shapes = defaultdict(set)\n",
+    "\n",
+    "for i in dwi_niis:\n",
+    "    site = i.split('/')[6].split('_')[1]\n",
+    "    data = nib.load(i)\n",
+    "    if not data.shape[2] == 66:\n",
+    "        print(i)\n",
+    "    unique_shapes[site].add(data.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dwi_niis = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*nii.gz'))\n",
+    "\n",
+    "for i in dwi_niis:\n",
+    "    data = nib.load(i)\n",
+    "    slice_num = data.shape[2]\n",
+    "    slices = list(range(1, slice_num))\n",
+    "    even_slices = [slice for slice in slices if slice % 2 == 0]\n",
+    "    odd_slices = [slice for slice in slices if slice % 2 == 1]\n",
+    "    slice_reorder = odd_slices + even_slices\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "slice_reorder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "defaultdict(set,\n",
+       "            {'CMH': {(128, 128, 66, 65), (128, 128, 71, 65)},\n",
+       "             'CMP': {(128, 128, 66, 66), (128, 128, 70, 66)},\n",
+       "             'MRC': {(128, 128, 66, 66)},\n",
+       "             'MRP': {(128, 128, 66, 66)},\n",
+       "             'ZHH': {(128, 128, 66, 65)},\n",
+       "             'ZHP': {(128, 128, 66, 61),\n",
+       "              (128, 128, 66, 66),\n",
+       "              (128, 128, 74, 66)}})"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unique_shapes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/archive/data/SPINS/data/nii/SPN01_ZHP_P001_03/SPN01_ZHP_P001_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n",
+      "/archive/data/SPINS/data/nii/SPN01_ZHP_P002_03/SPN01_ZHP_P002_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n"
+     ]
+    }
+   ],
+   "source": [
+    "dwi_niis = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*nii.gz'))\n",
+    "\n",
+    "for i in dwi_niis:\n",
+    "    data = nib.load(i)\n",
+    "    if data.shape[2] == 74:\n",
+    "        print(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(128, 128, 71, 65),\n",
+       " (128, 128, 66, 65),\n",
+       " (128, 128, 66, 66),\n",
+       " (128, 128, 70, 66),\n",
+       " (128, 128, 66, 61),\n",
+       " (128, 128, 74, 66)]"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unique_shapes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "71, 65\n",
+    "66, 65\n",
+    "66, 66\n",
+    "70, 66\n",
+    "66, 61\n",
+    "74, 66"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dwi_venv",
+   "language": "python",
+   "name": "dwi_venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/test_wf.ipynb b/notebooks/test_wf.ipynb
new file mode 100644
index 00000000..8aebdd41
--- /dev/null
+++ b/notebooks/test_wf.ipynb
@@ -0,0 +1,348 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nipype.pipeline import engine as pe\n",
+    "from nipype.interfaces import utility as niu"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dwi_file = '/projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def init_test_wf():\n",
+    "    wf = pe.Workflow(name=\"test\")\n",
+    "\n",
+    "    inputnode = pe.Node(niu.IdentityInterface(fields=[\"dwi_file\"]), name=\"inputnode\")\n",
+    "\n",
+    "    outputnode = pe.Node(niu.IdentityInterface(fields=[\"out_file\"]), name=\"outputnode\")\n",
+    "\n",
+    "    denoise = pe.Node(DWIDenoise(), name=\"denoise\")\n",
+    "    \n",
+    "    unring = pe.Node(MRDeGibbs(), name=\"unring\")\n",
+    "\n",
+    "    wf.connect([(inputnode, denoise, [(\"dwi_file\", \"in_file\")]),\n",
+    "                (denoise, unring, [(\"out_file\", \"in_file\")]),\n",
+    "                (unring, outputnode, [(\"out_file\", \"out_file\")])])\n",
+    "    \n",
+    "    return wf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "190627-17:38:59,948 nipype.workflow INFO:\n",
+      "\t Workflow test settings: ['check', 'execution', 'logging', 'monitoring']\n",
+      "190627-17:39:00,35 nipype.workflow INFO:\n",
+      "\t Running serially.\n",
+      "190627-17:39:00,37 nipype.workflow INFO:\n",
+      "\t [Node] Setting-up \"test.denoise\" in \"/tmp/tmpbinecjkb/test/denoise\".\n",
+      "190627-17:39:00,42 nipype.workflow INFO:\n",
+      "\t [Node] Running \"denoise\" (\"__main__.DWIDenoise\"), a CommandLine Interface with command:\n",
+      "dwidenoise -noise sub-0880002_ses-01_acq-singleshell19dir_dwi_noise.nii.gz /projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz\n",
+      "190627-17:39:00,529 nipype.interface INFO:\n",
+      "dwidenoise: [100%] uncompressing image \"/projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz\"\u001b[0K\u001b[0K\n",
+      "190627-17:39:00,823 nipype.interface INFO:\n",
+      "dwidenoise: [100%] preloading data for \"/projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz\"\u001b[0K\u001b[0K\n",
+      "190627-17:39:03,881 nipype.interface INFO:\n",
+      "dwidenoise: [100%] running MP-PCA denoising\u001b[0K\u001b[0K\n",
+      "190627-17:39:04,110 nipype.interface INFO:\n",
+      "dwidenoise: [100%] compressing image \"sub-0880002_ses-01_acq-singleshell19dir_dwi_noise.nii.gz\"\u001b[0K\u001b[0K\n",
+      "190627-17:39:08,812 nipype.interface INFO:\n",
+      "dwidenoise: [100%] compressing image \"sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz\"\u001b[0K\u001b[0K\n",
+      "190627-17:39:08,932 nipype.workflow INFO:\n",
+      "\t [Node] Finished \"test.denoise\".\n",
+      "190627-17:39:08,933 nipype.workflow INFO:\n",
+      "\t [Node] Setting-up \"test.unring\" in \"/tmp/tmpi_3ouhxh/test/unring\".\n",
+      "190627-17:39:08,937 nipype.workflow INFO:\n",
+      "\t [Node] Running \"unring\" (\"__main__.MRDeGibbs\"), a CommandLine Interface with command:\n",
+      "mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 /tmp/tmpbinecjkb/test/denoise/sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised_unr.nii.gz\n",
+      "190627-17:39:09,795 nipype.interface INFO:\n",
+      "mrdegibbs: [100%] uncompressing image \"/tmp/tmpbinecjkb/test/denoise/sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz\"\u001b[0K\u001b[0K\n",
+      "190627-17:39:16,918 nipype.interface INFO:\n",
+      "mrdegibbs: [100%] performing Gibbs ringing removal\u001b[0K\u001b[0K\n",
+      "190627-17:39:21,387 nipype.interface INFO:\n",
+      "mrdegibbs: [100%] compressing image \"sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised_unr.nii.gz\"\u001b[0K\u001b[0K\n",
+      "190627-17:39:21,492 nipype.workflow INFO:\n",
+      "\t [Node] Finished \"test.unring\".\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<networkx.classes.digraph.DiGraph at 0x7fa9a8bd4588>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_wf = init_test_wf()\n",
+    "inputspec = test_wf.get_node(\"inputnode\")\n",
+    "inputspec.inputs.dwi_file = dwi_file\n",
+    "test_wf.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from __future__ import (print_function, division, unicode_literals,\n",
+    "                        absolute_import)\n",
+    "\n",
+    "import os\n",
+    "\n",
+    "from nipype.interfaces.base import (CommandLineInputSpec, CommandLine, traits, TraitedSpec,\n",
+    "                    File, isdefined, Undefined, InputMultiObject)\n",
+    "from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base\n",
+    "\n",
+    "\n",
+    "class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):\n",
+    "    in_file = File(\n",
+    "        exists=True,\n",
+    "        argstr='%s',\n",
+    "        position=-2,\n",
+    "        mandatory=True,\n",
+    "        desc='input DWI image')\n",
+    "    mask = File(\n",
+    "        exists=True,\n",
+    "        argstr='-mask %s',\n",
+    "        position=1,\n",
+    "        desc='mask image')\n",
+    "    extent = traits.Tuple((traits.Int, traits.Int, traits.Int),\n",
+    "        argstr='-extent %d,%d,%d',\n",
+    "        desc='set the window size of the denoising filter. (default = 5,5,5)')\n",
+    "    noise = File(\n",
+    "        argstr='-noise %s',\n",
+    "        name_template='%s_noise',\n",
+    "        name_source=['in_file'],\n",
+    "        keep_extension=True,\n",
+    "        desc='the output noise map')\n",
+    "    out_file = File(\n",
+    "        argstr='%s',\n",
+    "        name_template='%s_denoised',\n",
+    "        name_source=['in_file'],\n",
+    "        keep_extension=True,\n",
+    "        position=-1,\n",
+    "        desc='the output denoised DWI image')\n",
+    "\n",
+    "class DWIDenoiseOutputSpec(TraitedSpec):\n",
+    "    out_file = File(desc='the output denoised DWI image', exists=True)\n",
+    "    noise = File(desc='the output noise map (if generated)', exists=True)\n",
+    "\n",
+    "class DWIDenoise(MRTrix3Base):\n",
+    "    \"\"\"\n",
+    "    Denoise DWI data and estimate the noise level based on the optimal\n",
+    "    threshold for PCA.\n",
+    "    DWI data denoising and noise map estimation by exploiting data redundancy\n",
+    "    in the PCA domain using the prior knowledge that the eigenspectrum of\n",
+    "    random covariance matrices is described by the universal Marchenko Pastur\n",
+    "    distribution.\n",
+    "    Important note: image denoising must be performed as the first step of the\n",
+    "    image processing pipeline. The routine will fail if interpolation or\n",
+    "    smoothing has been applied to the data prior to denoising.\n",
+    "    Note that this function does not correct for non-Gaussian noise biases.\n",
+    "    For more information, see\n",
+    "    <https://mrtrix.readthedocs.io/en/latest/reference/commands/dwidenoise.html>\n",
+    "    Example\n",
+    "    -------\n",
+    "    >>> import nipype.interfaces.mrtrix3 as mrt\n",
+    "    >>> denoise = mrt.DWIDenoise()\n",
+    "    >>> denoise.inputs.in_file = 'dwi.mif'\n",
+    "    >>> denoise.inputs.mask = 'mask.mif'\n",
+    "    >>> denoise.cmdline                               # doctest: +ELLIPSIS\n",
+    "    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'\n",
+    "    >>> denoise.run()                                 # doctest: +SKIP\n",
+    "    \"\"\"\n",
+    "\n",
+    "    _cmd = 'dwidenoise'\n",
+    "    input_spec = DWIDenoiseInputSpec\n",
+    "    output_spec = DWIDenoiseOutputSpec"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):\n",
+    "    in_file = File(\n",
+    "        exists=True,\n",
+    "        argstr='%s',\n",
+    "        position=-2,\n",
+    "        mandatory=True,\n",
+    "        desc='input DWI image')\n",
+    "    axes = traits.ListInt(\n",
+    "        default_value=[0,1],\n",
+    "        usedefault=True,\n",
+    "        sep=',',\n",
+    "        minlen=2,\n",
+    "        maxlen=2,\n",
+    "        argstr='-axes %s',\n",
+    "        desc='indicate the plane in which the data was acquired (axial = 0,1; '\n",
+    "             'coronal = 0,2; sagittal = 1,2')\n",
+    "    nshifts = traits.Int(\n",
+    "        default_value=20,\n",
+    "        usedefault=True,\n",
+    "        argstr='-nshifts %d',\n",
+    "        desc='discretization of subpixel spacing (default = 20)')\n",
+    "    minW = traits.Int(\n",
+    "        default_value=1,\n",
+    "        usedefault=True,\n",
+    "        argstr='-minW %d',\n",
+    "        desc='left border of window used for total variation (TV) computation '\n",
+    "             '(default = 1)')\n",
+    "    maxW = traits.Int(\n",
+    "        default_value=3,\n",
+    "        usedefault=True,\n",
+    "        argstr='-maxW %d',\n",
+    "        desc='right border of window used for total variation (TV) computation '\n",
+    "             '(default = 3)')\n",
+    "    out_file = File(name_template='%s_unr',\n",
+    "        name_source='in_file',\n",
+    "        keep_extension=True,\n",
+    "        argstr='%s',\n",
+    "        position=-1,\n",
+    "        desc='the output unringed DWI image',\n",
+    "        genfile=True)\n",
+    "\n",
+    "class MRDeGibbsOutputSpec(TraitedSpec):\n",
+    "    out_file = File(desc='the output unringed DWI image', exists=True)\n",
+    "\n",
+    "class MRDeGibbs(MRTrix3Base):\n",
+    "    \"\"\"\n",
+    "    Remove Gibbs ringing artifacts.\n",
+    "    This application attempts to remove Gibbs ringing artefacts from MRI images\n",
+    "    using the method of local subvoxel-shifts proposed by Kellner et al.\n",
+    "    This command is designed to run on data directly after it has been\n",
+    "    reconstructed by the scanner, before any interpolation of any kind has\n",
+    "    taken place. You should not run this command after any form of motion\n",
+    "    correction (e.g. not after dwipreproc). Similarly, if you intend running\n",
+    "    dwidenoise, you should run this command afterwards, since it has the\n",
+    "    potential to alter the noise structure, which would impact on dwidenoise's\n",
+    "    performance.\n",
+    "    Note that this method is designed to work on images acquired with full\n",
+    "    k-space coverage. Running this method on partial Fourier ('half-scan') data\n",
+    "    may lead to suboptimal and/or biased results, as noted in the original\n",
+    "    reference below. There is currently no means of dealing with this; users\n",
+    "    should exercise caution when using this method on partial Fourier data, and\n",
+    "    inspect its output for any obvious artefacts.\n",
+    "    For more information, see\n",
+    "    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrdegibbs.html>\n",
+    "    Example\n",
+    "    -------\n",
+    "    >>> import nipype.interfaces.mrtrix3 as mrt\n",
+    "    >>> unring = mrt.MRDeGibbs()\n",
+    "    >>> unring.inputs.in_file = 'dwi.mif'\n",
+    "    >>> unring.cmdline\n",
+    "    'mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 dwi.mif dwi_unr.mif'\n",
+    "    >>> unring.run()                                 # doctest: +SKIP\n",
+    "    \"\"\"\n",
+    "\n",
+    "    _cmd = 'mrdegibbs'\n",
+    "    input_spec = MRDeGibbsInputSpec\n",
+    "    output_spec = MRDeGibbsOutputSpec"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "    def _gen_outfilename(self):\n",
+    "        out_file = self.inputs.out_file\n",
+    "        if not isdefined(out_file) and isdefined(self.inputs.in_file):\n",
+    "            out_file = self._gen_fname(self.inputs.in_file, suffix='_denoised')\n",
+    "        return os.path.abspath(out_file)\n",
+    "    \n",
+    "    def _gen_fname(self,\n",
+    "               basename,\n",
+    "               cwd=None,\n",
+    "               suffix=None,\n",
+    "               change_ext=True,\n",
+    "               ext=None):\n",
+    "\n",
+    "        if basename == '':\n",
+    "            msg = 'Unable to generate filename for command %s. ' % self.cmd\n",
+    "            msg += 'basename is not set!'\n",
+    "            raise ValueError(msg)\n",
+    "        if cwd is None:\n",
+    "            cwd = os.getcwd()\n",
+    "        if ext is None:\n",
+    "            ext = Info.output_type_to_ext(self.inputs.output_type)\n",
+    "        if change_ext:\n",
+    "            if suffix:\n",
+    "                suffix = ''.join((suffix, ext))\n",
+    "            else:\n",
+    "                suffix = ext\n",
+    "        if suffix is None:\n",
+    "            suffix = ''\n",
+    "        fname = fname_presuffix(\n",
+    "            basename, suffix=suffix, use_ext=False, newpath=cwd)\n",
+    "        return fname\n",
+    "\n",
+    "    def _list_outputs(self):\n",
+    "        outputs = self.output_spec().get()\n",
+    "        outputs['out_file'] = self._gen_outfilename()\n",
+    "        if (isdefined(self.inputs.noise) and self.inputs.noise):\n",
+    "            outputs['noise_file'] = self._gen_fname(outputs['out_file'], suffix='_noise')\n",
+    "        return outputs"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dwi_venv",
+   "language": "python",
+   "name": "dwi_venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 2fb1a5d07c3b5a06d990a44bfd22669111a976f5 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Tue, 9 Jul 2019 12:08:55 -0400
Subject: [PATCH 059/156] Updated documentation page generation

---
 AUTHORS.rst    | 10 +++++++---
 docs/conf.py   |  5 +----
 docs/index.rst |  1 -
 setup.py       |  1 +
 4 files changed, 9 insertions(+), 8 deletions(-)

diff --git a/AUTHORS.rst b/AUTHORS.rst
index bf162e51..017e8668 100644
--- a/AUTHORS.rst
+++ b/AUTHORS.rst
@@ -1,10 +1,14 @@
-# Credits
+============
+Credits
+============
 
-## Development Leads
+Development Leads
+-----------------
 
 - Michael Joseph <michael.joseph@camh.ca> [Corresponding developer]
 - Salim Mansour <salim.mansour@camh.ca>
 
-## Contributors
+Contributors
+------------
 
 None yet. Why not be the first?
diff --git a/docs/conf.py b/docs/conf.py
index 97b2a08e..227430ee 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -95,7 +95,7 @@
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['_static']
+html_static_path = []
 
 
 # -- Options for HTMLHelp output ---------------------------------------
@@ -158,6 +158,3 @@
      'One line description of project.',
      'Miscellaneous'),
 ]
-
-
-
diff --git a/docs/index.rst b/docs/index.rst
index d654265b..abb3d69a 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -7,7 +7,6 @@ Welcome to dmriprep's documentation!
 
    installation
    usage
-   modules
    contributing
    authors
    history
diff --git a/setup.py b/setup.py
index b4add0ae..a951356e 100644
--- a/setup.py
+++ b/setup.py
@@ -21,6 +21,7 @@
     "pybids",
     "matplotlib",
     "numba",
+    "sphinx",
 ]
 
 extras_require = {"dev": ["flake8", "pytest", "pytest-cov", "pre-commit"]}

From e7a9bad3c7c6217d315f88b72113982c28c70223 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Thu, 11 Jul 2019 10:42:10 -0400
Subject: [PATCH 060/156] Added ignore_nodes parameter and fixed imports for
 node functions

---
 dmriprep/cli.py                    | 13 +++++
 dmriprep/workflows/base.py         |  8 +--
 dmriprep/workflows/dwi/__init__.py |  1 +
 dmriprep/workflows/dwi/base.py     | 41 +++++++++++----
 dmriprep/workflows/dwi/dwiprep.py  | 82 ++++++++++++++++++++++++++++++
 5 files changed, 132 insertions(+), 13 deletions(-)
 create mode 100644 dmriprep/workflows/dwi/dwiprep.py

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 338dd4bb..0f7e25ea 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -62,6 +62,17 @@
     default=None,
     type=(float),
 )
+@click.option(
+    "--ignore_nodes",
+    help="Specify which node(s) to skip during the preprocessing of the dwi."
+    "Example: If you want to skip unring and resize, use '--ignore_nodes ur'."
+    "Options are: \n"
+    "   d: denoise \n"
+    "   u: unring \n"
+    "   r: resize (upsample)",
+    default=None,
+    type=(str),
+)
 @click.argument("bids_dir")
 @click.argument("output_dir")
 @click.argument(
@@ -77,6 +88,7 @@ def main(
     bet_dwi=0.3,
     bet_mag=0.3,
     total_readout=None,
+    ignore_nodes='',
     analysis_level="participant",
 ):
     """
@@ -112,6 +124,7 @@ def main(
         bet_dwi,
         bet_mag,
         total_readout,
+        ignore_nodes,
     )
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 42d0a1e1..03d44a26 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -9,7 +9,7 @@
 
 def init_dmriprep_wf(
     layout, subject_list, work_dir, output_dir,
-    bet_dwi, bet_mag, total_readout
+    bet_dwi, bet_mag, total_readout, ignore_nodes
 ):
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = work_dir
@@ -25,6 +25,7 @@ def init_dmriprep_wf(
             bet_dwi=bet_dwi,
             bet_mag=bet_mag,
             total_readout=total_readout,
+            ignore_nodes=ignore_nodes,
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
@@ -41,7 +42,7 @@ def init_dmriprep_wf(
 
 def init_single_subject_wf(
     layout, subject_id, name, work_dir, output_dir,
-    bet_dwi, bet_mag, total_readout
+    bet_dwi, bet_mag, total_readout, ignore_nodes
 ):
 
     dwi_files = layout.get(
@@ -66,7 +67,8 @@ def init_single_subject_wf(
         metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
             subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout,
-            bet_dwi_frac=bet_dwi, bet_mag_frac=bet_mag, total_readout=total_readout
+            bet_dwi_frac=bet_dwi, bet_mag_frac=bet_mag, total_readout=total_readout,
+            ignore_nodes=ignore_nodes
         )
         datasink_wf = init_output_wf(
             subject_id=subject_id, session_id=session_id, output_folder=output_dir
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 24c6efe7..5e2e06f4 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -2,3 +2,4 @@
 
 from .base import init_dwi_preproc_wf
 from .outputs import init_output_wf
+from .dwiprep import init_dwiprep_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 43d829fb..fc9e2b83 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -14,7 +14,7 @@
 
 from ...interfaces import mrtrix3
 from ..fieldmap.base import init_sdc_prep_wf
-
+from .dwiprep import init_dwiprep_wf
 
 def init_dwi_preproc_wf(
     subject_id,
@@ -24,6 +24,7 @@ def init_dwi_preproc_wf(
     bet_dwi_frac,
     bet_mag_frac,
     total_readout,
+    ignore_nodes,
 ):
 
     fmaps = []
@@ -62,13 +63,17 @@ def init_dwi_preproc_wf(
         name="outputnode",
     )
 
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-
-    resize = pe.Node(mrtrix3.MRResize(), name="resize")
+    # Create the dwi prep workflow
+    dwi_prep_wf = init_dwiprep_wf(ignore_nodes)
 
     def gen_index(in_file):
+        import os
+        import numpy as np
+        import nibabel as nib
+        from nipype.pipeline import engine as pe
+        from nipype.interfaces import fsl, utility as niu
+        from nipype.utils import NUMPY_MMAP
+        from nipype.utils.filemanip import fname_presuffix
 
         out_file = fname_presuffix(
             in_file,
@@ -92,6 +97,10 @@ def gen_index(in_file):
     )
 
     def gen_acqparams(in_file, metadata, total_readout_time):
+        import os
+        import numpy as np
+        import nibabel as nib
+        from nipype.utils.filemanip import fname_presuffix
 
         out_file = fname_presuffix(
             in_file,
@@ -142,6 +151,13 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         .. warning:: *b0* should be already registered (head motion artifact
         should be corrected).
         """
+        import os
+        import numpy as np
+        import nibabel as nib
+        from nipype.pipeline import engine as pe
+        from nipype.interfaces import fsl, utility as niu
+        from nipype.utils import NUMPY_MMAP
+        from nipype.utils.filemanip import fname_presuffix
 
         if out_file is None:
             out_file = fname_presuffix(
@@ -202,6 +218,12 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
 
     def get_b0_mask_fn(b0_file):
+        import os
+        import nibabel as nib
+        from nipype.pipeline import engine as pe
+        from nipype.interfaces import fsl, utility as niu
+        from nipype.utils.filemanip import fname_presuffix
+        from dipy.segment.mask import median_otsu
 
         mask_file = fname_presuffix(
             b0_file, suffix="_mask", newpath=os.path.abspath(".")
@@ -225,10 +247,9 @@ def get_b0_mask_fn(b0_file):
 
     dwi_wf.connect(
         [
-            (inputnode, denoise, [("dwi_file", "in_file")]),
-            (denoise, unring, [("out_file", "in_file")]),
+            (inputnode, dwi_prep_wf, [("dwi_file", "dwi_prep_inputnode.dwi_file")]),
+            (dwi_prep_wf, avg_b0_0, [("dwi_prep_outputnode.out_file", "in_dwi")]),
             (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
-            (unring, avg_b0_0, [("out_file", "in_dwi")]),
             (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
             (inputnode, gen_idx, [("dwi_file", "in_file")]),
             (
@@ -236,7 +257,7 @@ def get_b0_mask_fn(b0_file):
                 acqp,
                 [("dwi_file", "in_file"), ("metadata", "metadata")],
             ),
-            (unring, ecc, [("out_file", "in_file")]),
+            (dwi_prep_wf, ecc, [("dwi_prep_outputnode.out_file", "in_file")]),
             (
                 inputnode,
                 ecc,
diff --git a/dmriprep/workflows/dwi/dwiprep.py b/dmriprep/workflows/dwi/dwiprep.py
new file mode 100644
index 00000000..8334cbed
--- /dev/null
+++ b/dmriprep/workflows/dwi/dwiprep.py
@@ -0,0 +1,82 @@
+#!/usr/bin/env python
+
+def init_dwiprep_wf(ignore_nodes):
+    from ...interfaces import mrtrix3
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import fsl, utility as niu
+
+    # Generate the prep workflow for dwi (denoise, unring, resize)
+
+    dwi_prep_wf = pe.Workflow(name="dwi_prep_wf")
+
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="resize")
+
+    dwi_prep_inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=["dwi_file"]
+        ),
+        name="dwi_prep_inputnode",
+    )
+
+    dwi_prep_outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]),
+        name="dwi_prep_outputnode",
+    )
+
+    # Turn the string input of nodes into a list
+    ignore_nodes_list = [option.lower() for option in ignore_nodes.strip()]
+
+    prep_full = ['d', 'u', 'r']
+    prep_wanted_str = [node for node in prep_full if not(node in ignore_nodes_list)]
+
+    # Translate string input to node names
+    str2node = {
+        'd': denoise,
+        'u': unring,
+        'r': resize
+    }
+
+    # Convert the string list to a node list
+    prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
+
+    # If no steps selected, just connect input to output
+    if not(prep_wanted):
+        dwi_prep_wf.connect(
+            [
+                (dwi_prep_inputnode, dwi_prep_outputnode, [("dwi_file", "out_file")])
+            ]
+        )
+
+    # If there are steps
+    else:
+        # Must at least connect input node to first node
+        first_node = prep_wanted[0]
+        dwi_prep_wf.connect(
+            [
+                (dwi_prep_inputnode, first_node, [("dwi_file", "in_file")]),
+            ]
+        )
+        # Loop through the prep order
+        # Note: only works if each node has in_file and out_file
+        # Can work around this by wrapping in node/workflow with in_file+out_file
+        prev = first_node
+        for curr_node in prep_wanted[1:]:
+            dwi_prep_wf.connect(
+                [
+                    (prev, curr_node, [("out_file", "in_file")]),
+                ]
+            )
+            prev = curr_node
+        # Connect last node to output node
+        last_node = prep_wanted[-1]
+        dwi_prep_wf.connect(
+            [
+                (last_node, dwi_prep_outputnode, [("out_file", "out_file")]),
+            ]
+        )
+
+    return dwi_prep_wf

From bd7ceb57b602a33b8913ed9e7bd9214aed87e15f Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Fri, 12 Jul 2019 11:13:25 -0400
Subject: [PATCH 061/156] convert to rst and add codecov badge

---
 README.md => README.rst | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)
 rename README.md => README.rst (82%)

diff --git a/README.md b/README.rst
similarity index 82%
rename from README.md
rename to README.rst
index ed752966..fab22ba7 100644
--- a/README.md
+++ b/README.rst
@@ -1,9 +1,7 @@
-[![Known Vulnerabilities](https://snyk.io/test/github/nipy/dmriprep/badge.svg)](https://snyk.io/test/github/nipy/dmriprep)
-[![Documentation Status](https://readthedocs.org/projects/dmriprep/badge/?version=latest)](httpsL//dmriprep.readthredocs.io/en/latest/?badge=latest)
-[![Build Status](https://travis-ci.org/nipy/dmriprep.png?branch=master)](https://travis-ci.org/nipy/dmriprep)
-[![Coverage Status](https://coveralls.io/repos/github/nipy/dmriprep/badge.svg?branch=master)](https://coveralls.io/github/nipy/dmriprep?branch=master)
-[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
-[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
+.. image:: https://codecov.io/gh/TIGRLab/dmripreproc/branch/master/graph/badge.svg
+  :target: https://codecov.io/gh/TIGRLab/dmripreproc  
+.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
+    :target: https://github.com/python/black
 
 # <img alt="dmriprep" src="docs/img/dmriprep_icon.svg" height="128"> dmriprep
 

From 1b1e8da62f79ecbb99601a363e2f01e942efbbdf Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Fri, 12 Jul 2019 12:27:32 -0400
Subject: [PATCH 062/156] Added parameters object for easier design

---
 dmriprep/cli.py                | 25 ++++++++++++-------
 dmriprep/utils.py              | 14 +++++++++++
 dmriprep/workflows/base.py     | 44 +++++++++++++---------------------
 dmriprep/workflows/dwi/base.py | 18 ++++++--------
 4 files changed, 55 insertions(+), 46 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 0f7e25ea..ab38b93e 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -116,15 +116,24 @@ def main(
     )
 
     work_dir = os.path.join(output_dir, "scratch")
+
+    # Set parameters based on CLI, pass through object
+    parameters = utils.Parameters()
+    parameters.participant_label = participant_label
+    parameters.layout = layout
+    parameters.subject_list = subject_list
+    parameters.bids_dir = bids_dir
+    parameters.work_dir = work_dir
+    parameters.output_dir = output_dir
+    parameters.eddy_niter = eddy_niter
+    parameters.bet_dwi = bet_dwi
+    parameters.bet_mag = bet_mag
+    parameters.total_readout = total_readout
+    parameters.ignore_nodes = ignore_nodes
+    parameters.analysis_level = analysis_level
+
     wf = init_dmriprep_wf(
-        layout,
-        subject_list,
-        work_dir,
-        output_dir,
-        bet_dwi,
-        bet_mag,
-        total_readout,
-        ignore_nodes,
+        parameters
     )
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
diff --git a/dmriprep/utils.py b/dmriprep/utils.py
index abda5f3c..3914aa67 100644
--- a/dmriprep/utils.py
+++ b/dmriprep/utils.py
@@ -88,6 +88,20 @@ def __init__(self, message, bids_root):
 class BIDSWarning(RuntimeWarning):
     pass
 
+class Parameters:
+    def __init__(self):
+        self.participant_label = ''
+        self.bids_dir = ''
+        self.work_dir = ''
+        self.layout = ''
+        self.subject_list = ''
+        self.output_dir = ''
+        self.eddy_niter = 5
+        self.bet_dwi = 0.3
+        self.bet_mag = 0.3
+        self.total_readout = None
+        self.ignore_nodes = ''
+        self.analysis_level = 'participant'
 
 def collect_participants(
     bids_dir, participant_label=None, strict=False, bids_validate=True
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 03d44a26..6c544039 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -6,30 +6,22 @@
 from nipype.pipeline import engine as pe
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
-
 def init_dmriprep_wf(
-    layout, subject_list, work_dir, output_dir,
-    bet_dwi, bet_mag, total_readout, ignore_nodes
+    parameters
 ):
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
-    dmriprep_wf.base_dir = work_dir
+    dmriprep_wf.base_dir = parameters.work_dir
 
-    for subject_id in subject_list:
+    for subject_id in parameters.subject_list:
 
         single_subject_wf = init_single_subject_wf(
-            layout=layout,
             subject_id=subject_id,
             name="single_subject_" + subject_id + "_wf",
-            work_dir=work_dir,
-            output_dir=output_dir,
-            bet_dwi=bet_dwi,
-            bet_mag=bet_mag,
-            total_readout=total_readout,
-            ignore_nodes=ignore_nodes,
+            parameters=parameters
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
-            output_dir, "dmriprep", "sub-" + subject_id, "log"
+            parameters.output_dir, "dmriprep", "sub-" + subject_id, "log"
         )
 
         for node in single_subject_wf._get_all_nodes():
@@ -41,11 +33,10 @@ def init_dmriprep_wf(
 
 
 def init_single_subject_wf(
-    layout, subject_id, name, work_dir, output_dir,
-    bet_dwi, bet_mag, total_readout, ignore_nodes
+    subject_id, name, parameters
 ):
 
-    dwi_files = layout.get(
+    dwi_files = parameters.layout.get(
         subject=subject_id,
         datatype="dwi",
         suffix="dwi",
@@ -62,32 +53,31 @@ def init_single_subject_wf(
     subject_wf = pe.Workflow(name=name)
 
     for dwi_file in dwi_files:
-        entities = layout.parse_file_entities(dwi_file)
+        entities = parameters.layout.parse_file_entities(dwi_file)
         session_id = entities["session"]
-        metadata = layout.get_metadata(dwi_file)
+        metadata = parameters.layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
-            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata, layout=layout,
-            bet_dwi_frac=bet_dwi, bet_mag_frac=bet_mag, total_readout=total_readout,
-            ignore_nodes=ignore_nodes
+            subject_id=subject_id, dwi_file=dwi_file, metadata=metadata,
+            parameters=parameters
         )
         datasink_wf = init_output_wf(
-            subject_id=subject_id, session_id=session_id, output_folder=output_dir
+            subject_id=subject_id, session_id=session_id, output_folder=parameters.output_dir
         )
 
-        dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(work_dir), subject_id)
+        dwi_preproc_wf.base_dir = os.path.join(os.path.abspath(parameters.work_dir), subject_id)
 
         inputspec = dwi_preproc_wf.get_node("inputnode")
         inputspec.inputs.subject_id = subject_id
         inputspec.inputs.dwi_file = dwi_file
         inputspec.inputs.metadata = metadata
-        inputspec.inputs.bvec_file = layout.get_bvec(dwi_file)
-        inputspec.inputs.bval_file = layout.get_bval(dwi_file)
-        inputspec.inputs.out_dir = os.path.abspath(output_dir)
+        inputspec.inputs.bvec_file = parameters.layout.get_bvec(dwi_file)
+        inputspec.inputs.bval_file = parameters.layout.get_bval(dwi_file)
+        inputspec.inputs.out_dir = os.path.abspath(parameters.output_dir)
 
         ds_inputspec = datasink_wf.get_node("inputnode")
         ds_inputspec.inputs.subject_id = subject_id
         ds_inputspec.inputs.session_id = session_id
-        ds_inputspec.inputs.output_folder = output_dir
+        ds_inputspec.inputs.output_folder = parameters.output_dir
         ds_inputspec.inputs.metadata = metadata
 
         wf_name = "sub_" + subject_id + "_ses_" + session_id + "_preproc_wf"
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index fc9e2b83..7788996a 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -20,15 +20,11 @@ def init_dwi_preproc_wf(
     subject_id,
     dwi_file,
     metadata,
-    layout,
-    bet_dwi_frac,
-    bet_mag_frac,
-    total_readout,
-    ignore_nodes,
+    parameters
 ):
 
     fmaps = []
-    fmaps = layout.get_fieldmap(dwi_file, return_list=True)
+    fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
 
     if not fmaps:
         raise Exception(
@@ -37,9 +33,9 @@ def init_dwi_preproc_wf(
         )
 
     for fmap in fmaps:
-        fmap["metadata"] = layout.get_metadata(fmap[fmap["suffix"]])
+        fmap["metadata"] = parameters.layout.get_metadata(fmap[fmap["suffix"]])
 
-    sdc_wf = init_sdc_prep_wf(fmaps, metadata, layout, bet_mag_frac)
+    sdc_wf = init_sdc_prep_wf(fmaps, metadata, parameters.layout, parameters.bet_mag)
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
 
@@ -64,7 +60,7 @@ def init_dwi_preproc_wf(
     )
 
     # Create the dwi prep workflow
-    dwi_prep_wf = init_dwiprep_wf(ignore_nodes)
+    dwi_prep_wf = init_dwiprep_wf(parameters.ignore_nodes)
 
     def gen_index(in_file):
         import os
@@ -141,7 +137,7 @@ def gen_acqparams(in_file, metadata, total_readout_time):
         name="acqp",
     )
 
-    acqp.inputs.total_readout_time = total_readout
+    acqp.inputs.total_readout_time = parameters.total_readout
 
     def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
         """
@@ -189,7 +185,7 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
 
     # dilate mask
     bet_dwi0 = pe.Node(
-        fsl.BET(frac=bet_dwi_frac, mask=True, robust=True), name="bet_dwi_pre"
+        fsl.BET(frac=parameters.bet_dwi, mask=True, robust=True), name="bet_dwi_pre"
     )
 
     # mrtrix3.MaskFilter

From 7dca015bc87ae5c5405f65ef4e384d156fffe542 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Fri, 12 Jul 2019 12:39:48 -0400
Subject: [PATCH 063/156] point setup.py to new README name

---
 setup.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/setup.py b/setup.py
index a951356e..150c07f2 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@
 
 from setuptools import setup, find_packages
 
-with open("README.md") as readme_file:
+with open("README.rst") as readme_file:
     readme = readme_file.read()
 
 with open("HISTORY.rst") as history_file:

From 2b34b0af3e9f52156775a39ff09b77c7ae19fd69 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 16 Jul 2019 11:22:05 -0400
Subject: [PATCH 064/156] add wip topup wf

---
 dmripreproc/workflows/fieldmap/pepolar.py | 79 +++++++++++++++++++++++
 1 file changed, 79 insertions(+)
 create mode 100644 dmripreproc/workflows/fieldmap/pepolar.py

diff --git a/dmripreproc/workflows/fieldmap/pepolar.py b/dmripreproc/workflows/fieldmap/pepolar.py
new file mode 100644
index 00000000..34ca318c
--- /dev/null
+++ b/dmripreproc/workflows/fieldmap/pepolar.py
@@ -0,0 +1,79 @@
+#!/usr/bin/env python
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import fsl, utility as niu
+
+
+def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
+
+    dwi_file_pe = dwi_meta["PhaseEncodingDirection"]
+
+    usable_fieldmaps_matching_pe = []
+    usable_fieldmaps_opposite_pe = []
+
+    for fmap, pe_dir in epi_fmaps:
+        if pe_dir == dwi_file_pe:
+            usable_fieldmaps_matching_pe.append(fmap)
+        elif pe_dir[0] == dwi_file_pe[0]:
+            usable_fieldmaps_opposite_pe.append(fmap)
+
+    if not usable_fieldmaps_opposite_pe:
+        raise Exception("None of the discovered fieldmaps for "
+                        "participant {} has the right phase "
+                        "encoding direction".format(subject_id))
+
+    wf = pe.Workflow(name="pepolar_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]))
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_topup"]))
+
+    topup_wf = init_topup_wf()
+    topup_wf.inputnode.altepi_file = usable_fieldmaps_opposite_pe[0]
+
+    if not usable_fieldmaps_matching_pe:
+        wf.connect(
+            [
+                (inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])
+            ]
+        )
+    else:
+        topup_wf.inputnode.epi_file = usable_fieldmaps_matching_pe[0]
+
+    return wf
+
+
+def init_topup_wf():
+
+    wf = pe.Workflow(name="topup_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["epi_file", "altepi_file", "encoding_directions"]),
+        name="inputnode")
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_fmap"]),
+        name="outputnode")
+
+    list_merge = pe.Node(niu.Merge(numinputs=2), name="list_merge")
+
+    merge = pe.Node(fsl.Merge(dimension="t"), name="mergeAPPA")
+
+    topup = pe.Node(fsl.TOPUP(), name="topup")
+    topup.inputs.readout_times = [0.05, 0.05]
+
+    wf.connect(
+        [
+            (
+                inputnode,
+                list_merge,
+                [("epi_file", "in1"), ("altepi_file", "in2")]
+            ),
+            (list_merge, merge, [("out", "in_files")]),
+            (merge, topup, [("merged_file", "in_file")]),
+            (inputnode, topup, [("encoding_directions", "encoding_direction")]),
+            (topup, outputnode, [("out_field", "out_fmap")]),
+        ]
+    )
+
+    return wf

From 904ed08b3166c38bbb563e123bf27d1da99b0b53 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Tue, 16 Jul 2019 12:19:44 -0400
Subject: [PATCH 065/156] Added Dockerfile to generate container for
 dmripreproc

---
 Dockerfile | 196 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 196 insertions(+)
 create mode 100644 Dockerfile

diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 00000000..490e5845
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,196 @@
+FROM poldracklab/fmriprep:1.3.2
+
+# Used command:
+# neurodocker generate docker --base=debian:stretch --pkg-manager=apt
+# --ants version=latest method=source --mrtrix3 version=3.0_RC3
+# --freesurfer version=6.0.0 method=binaries --fsl version=6.0.1 method=binaries
+
+# Getting required installation tools
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        bc \
+        libtool \
+        tar \
+        dpkg \
+        curl \
+        wget \
+        unzip \
+        gcc \
+        git \
+        libstdc++6
+
+# Neurodocker Setup
+ARG DEBIAN_FRONTEND="noninteractive"
+
+ENV LANG="en_US.UTF-8" \
+    LC_ALL="en_US.UTF-8" \
+    ND_ENTRYPOINT="/neurodocker/startup.sh"
+RUN export ND_ENTRYPOINT="/neurodocker/startup.sh" \
+    && apt-get update -qq \
+    && apt-get install -y -q --no-install-recommends \
+           apt-utils \
+           bzip2 \
+           ca-certificates \
+           curl \
+           locales \
+           unzip \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/* \
+    && sed -i -e 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen \
+    && dpkg-reconfigure --frontend=noninteractive locales \
+    && update-locale LANG="en_US.UTF-8" \
+    && chmod 777 /opt && chmod a+s /opt \
+    && mkdir -p /neurodocker \
+    && if [ ! -f "$ND_ENTRYPOINT" ]; then \
+         echo '#!/usr/bin/env bash' >> "$ND_ENTRYPOINT" \
+    &&   echo 'set -e' >> "$ND_ENTRYPOINT" \
+    &&   echo 'export USER="${USER:=`whoami`}"' >> "$ND_ENTRYPOINT" \
+    &&   echo 'if [ -n "$1" ]; then "$@"; else /usr/bin/env bash; fi' >> "$ND_ENTRYPOINT"; \
+    fi \
+    && chmod -R 777 /neurodocker && chmod a+s /neurodocker
+
+ENTRYPOINT ["/neurodocker/startup.sh"]
+
+# ANTS (used from BIDS-Apps https://github.com/BIDS-Apps/dockerfile-templates/blob/master/ANTs/Dockerfile)
+RUN apt-get update && \
+    apt-get install -y curl && \
+		mkdir -p /opt/ants && \
+    curl -sSL "https://github.com/stnava/ANTs/releases/download/v2.1.0/Linux_Ubuntu14.04.tar.bz2" \
+    | tar -xjC /opt/ants --strip-components 1 && \
+    rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+
+ENV ANTSPATH /opt/ants
+ENV PATH $ANTSPATH:$PATH
+
+# MRtrix3 generated from Neurodocker
+ENV PATH="/opt/mrtrix3-3.0_RC3/bin:$PATH"
+RUN echo "Downloading MRtrix3 ..." \
+    && mkdir -p /opt/mrtrix3-3.0_RC3 \
+    && curl -fsSL --retry 5 https://dl.dropbox.com/s/2oh339ehcxcf8xf/mrtrix3-3.0_RC3-Linux-centos6.9-x86_64.tar.gz \
+    | tar -xz -C /opt/mrtrix3-3.0_RC3 --strip-components 1
+
+# Freesurfer generated from Neurodocker
+ENV FREESURFER_HOME="/opt/freesurfer-6.0.0" \
+    PATH="/opt/freesurfer-6.0.0/bin:$PATH"
+RUN apt-get update -qq \
+    && apt-get install -y -q --no-install-recommends \
+           bc \
+           libgomp1 \
+           libxmu6 \
+           libxt6 \
+           perl \
+           tcsh \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/* \
+    && echo "Downloading FreeSurfer ..." \
+    && mkdir -p /opt/freesurfer-6.0.0 \
+    && curl -fsSL --retry 5 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/6.0.0/freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0.tar.gz \
+    | tar -xz -C /opt/freesurfer-6.0.0 --strip-components 1 \
+         --exclude='freesurfer/average/mult-comp-cor' \
+         --exclude='freesurfer/lib/cuda' \
+         --exclude='freesurfer/lib/qt' \
+         --exclude='freesurfer/subjects/V1_average' \
+         --exclude='freesurfer/subjects/bert' \
+         --exclude='freesurfer/subjects/cvs_avg35' \
+         --exclude='freesurfer/subjects/cvs_avg35_inMNI152' \
+         --exclude='freesurfer/subjects/fsaverage3' \
+         --exclude='freesurfer/subjects/fsaverage4' \
+         --exclude='freesurfer/subjects/fsaverage5' \
+         --exclude='freesurfer/subjects/fsaverage6' \
+         --exclude='freesurfer/subjects/fsaverage_sym' \
+         --exclude='freesurfer/trctrain' \
+    && sed -i '$isource "/opt/freesurfer-6.0.0/SetUpFreeSurfer.sh"' "$ND_ENTRYPOINT"
+
+ENV FSLDIR="/opt/fsl-6.0.1" \
+    PATH="/opt/fsl-6.0.1/bin:$PATH"
+RUN apt-get update -qq \
+    && apt-get install -y -q --no-install-recommends \
+           bc \
+           dc \
+           file \
+           libfontconfig1 \
+           libfreetype6 \
+           libgl1-mesa-dev \
+           libglu1-mesa-dev \
+           libgomp1 \
+           libice6 \
+           libxcursor1 \
+           libxft2 \
+           libxinerama1 \
+           libxrandr2 \
+           libxrender1 \
+           libxt6 \
+           wget \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/* \
+    && echo "Downloading FSL ..." \
+    && mkdir -p /opt/fsl-6.0.1 \
+    && curl -fsSL --retry 5 https://fsl.fmrib.ox.ac.uk/fsldownloads/fsl-6.0.1-centos6_64.tar.gz \
+    | tar -xz -C /opt/fsl-6.0.1 --strip-components 1 \
+    && sed -i '$iecho Some packages in this Docker container are non-free' $ND_ENTRYPOINT \
+    && sed -i '$iecho If you are considering commercial use of this container, please consult the relevant license:' $ND_ENTRYPOINT \
+    && sed -i '$iecho https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Licence' $ND_ENTRYPOINT \
+    && sed -i '$isource $FSLDIR/etc/fslconf/fsl.sh' $ND_ENTRYPOINT
+
+RUN echo '{ \
+    \n  "pkg_manager": "apt", \
+    \n  "instructions": [ \
+    \n    [ \
+    \n      "base", \
+    \n      "debian:stretch" \
+    \n    ], \
+    \n    [ \
+    \n      "ants", \
+    \n      { \
+    \n        "version": "latest", \
+    \n        "method": "source" \
+    \n      } \
+    \n    ], \
+    \n    [ \
+    \n      "mrtrix3", \
+    \n      { \
+    \n        "version": "3.0_RC3" \
+    \n      } \
+    \n    ], \
+    \n    [ \
+    \n      "freesurfer", \
+    \n      { \
+    \n        "version": "6.0.0", \
+    \n        "method": "binaries" \
+    \n      } \
+    \n    ], \
+    \n    [ \
+    \n      "fsl", \
+    \n      { \
+    \n        "version": "6.0.1", \
+    \n        "method": "binaries" \
+    \n      } \
+    \n    ] \
+    \n  ] \
+    \n}' > /neurodocker/neurodocker_specs.json
+
+#All of the examples below use debian:stretch as the base image, but any Docker image can be used as a base.
+#Common base images (and their packages managers) are ubuntu:16.04 (apt), centos:7 (yum), neurodebian:nd16.04 (apt), and neurodebian:stretch (apt).
+
+# FSL 6.0.1
+# Freesurfer 6.0.0
+# MRtrix3
+# ANTS
+# Python 3
+
+# add credentials on build
+RUN mkdir ~/.ssh && ln -s /run/secrets/host_ssh_key ~/.ssh/id_rsa
+# Getting required installation tools
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        libopenblas-base
+
+# setting up an install of dmripreproc (manual version) inside the container
+ADD https://api.github.com/repos/TIGRLab/dmripreproc/git/refs/heads/master version.json
+RUN git clone -b master https://github.com/TIGRLab/dmripreproc.git
+#RUN mkdir dmripreproc
+#COPY ./ dmripreproc/
+RUN cd dmripreproc && ls && python setup.py install && pip list
+RUN pip install pybids==0.9.1 && pip list
+
+ENTRYPOINT ["dmriprep"]

From ce154b405e6a839d340da974f20fb7c26666c490 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Tue, 16 Jul 2019 12:20:42 -0400
Subject: [PATCH 066/156] Minor requirements and setup changes

---
 dmriprep/utils.py          | 4 ++--
 dmriprep/workflows/base.py | 2 +-
 requirements.txt           | 1 +
 setup.py                   | 4 ++--
 4 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/dmriprep/utils.py b/dmriprep/utils.py
index 3914aa67..fe55506f 100644
--- a/dmriprep/utils.py
+++ b/dmriprep/utils.py
@@ -91,10 +91,10 @@ class BIDSWarning(RuntimeWarning):
 class Parameters:
     def __init__(self):
         self.participant_label = ''
+        self.layout = None
+        self.subject_list = ''
         self.bids_dir = ''
         self.work_dir = ''
-        self.layout = ''
-        self.subject_list = ''
         self.output_dir = ''
         self.eddy_niter = 5
         self.bet_dwi = 0.3
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 6c544039..8e6d86d3 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -41,7 +41,7 @@ def init_single_subject_wf(
         datatype="dwi",
         suffix="dwi",
         extensions=[".nii", ".nii.gz"],
-        return_type="filename",
+        return_type="filename"
     )
 
     if not dwi_files:
diff --git a/requirements.txt b/requirements.txt
index 29ffc900..7a1dd3ee 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,3 +7,4 @@ tqdm==4.32.1
 pybids==0.9.1
 matplotlib==3.1.0
 numba==0.44.0
+Sphinx==2.1.2
diff --git a/setup.py b/setup.py
index 150c07f2..1223a736 100644
--- a/setup.py
+++ b/setup.py
@@ -14,11 +14,11 @@
 requirements = [
     "Click>=6.0",
     "dipy",
-    "nipype",
+    "nipype>=1.2.0",
     "pandas",
     "parse",
     "tqdm",
-    "pybids",
+    "pybids>=0.9.1",
     "matplotlib",
     "numba",
     "sphinx",

From e824ebc883cb7f9e6242ade7457d8239e11cafec Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 16 Jul 2019 16:46:16 -0400
Subject: [PATCH 067/156] add pe direction to topup workflow

---
 dmriprep/workflows/dwi/dwiprep.py      | 82 --------------------------
 dmripreproc/workflows/dwi/base.py      |  2 +-
 dmripreproc/workflows/fieldmap/base.py | 20 ++++++-
 3 files changed, 19 insertions(+), 85 deletions(-)
 delete mode 100644 dmriprep/workflows/dwi/dwiprep.py

diff --git a/dmriprep/workflows/dwi/dwiprep.py b/dmriprep/workflows/dwi/dwiprep.py
deleted file mode 100644
index 8334cbed..00000000
--- a/dmriprep/workflows/dwi/dwiprep.py
+++ /dev/null
@@ -1,82 +0,0 @@
-#!/usr/bin/env python
-
-def init_dwiprep_wf(ignore_nodes):
-    from ...interfaces import mrtrix3
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import fsl, utility as niu
-
-    # Generate the prep workflow for dwi (denoise, unring, resize)
-
-    dwi_prep_wf = pe.Workflow(name="dwi_prep_wf")
-
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-
-    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="resize")
-
-    dwi_prep_inputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=["dwi_file"]
-        ),
-        name="dwi_prep_inputnode",
-    )
-
-    dwi_prep_outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]),
-        name="dwi_prep_outputnode",
-    )
-
-    # Turn the string input of nodes into a list
-    ignore_nodes_list = [option.lower() for option in ignore_nodes.strip()]
-
-    prep_full = ['d', 'u', 'r']
-    prep_wanted_str = [node for node in prep_full if not(node in ignore_nodes_list)]
-
-    # Translate string input to node names
-    str2node = {
-        'd': denoise,
-        'u': unring,
-        'r': resize
-    }
-
-    # Convert the string list to a node list
-    prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
-
-    # If no steps selected, just connect input to output
-    if not(prep_wanted):
-        dwi_prep_wf.connect(
-            [
-                (dwi_prep_inputnode, dwi_prep_outputnode, [("dwi_file", "out_file")])
-            ]
-        )
-
-    # If there are steps
-    else:
-        # Must at least connect input node to first node
-        first_node = prep_wanted[0]
-        dwi_prep_wf.connect(
-            [
-                (dwi_prep_inputnode, first_node, [("dwi_file", "in_file")]),
-            ]
-        )
-        # Loop through the prep order
-        # Note: only works if each node has in_file and out_file
-        # Can work around this by wrapping in node/workflow with in_file+out_file
-        prev = first_node
-        for curr_node in prep_wanted[1:]:
-            dwi_prep_wf.connect(
-                [
-                    (prev, curr_node, [("out_file", "in_file")]),
-                ]
-            )
-            prev = curr_node
-        # Connect last node to output node
-        last_node = prep_wanted[-1]
-        dwi_prep_wf.connect(
-            [
-                (last_node, dwi_prep_outputnode, [("out_file", "out_file")]),
-            ]
-        )
-
-    return dwi_prep_wf
diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
index 8a1ae2e7..fdce43d8 100755
--- a/dmripreproc/workflows/dwi/base.py
+++ b/dmripreproc/workflows/dwi/base.py
@@ -32,7 +32,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
         fmap["metadata"] = parameters.layout.get_metadata(fmap[fmap["suffix"]])
 
     sdc_wf = init_sdc_prep_wf(
-        fmaps, metadata, parameters.layout, parameters.bet_mag
+        subject_id, fmaps, metadata, parameters.layout, parameters.bet_mag
     )
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
diff --git a/dmripreproc/workflows/fieldmap/base.py b/dmripreproc/workflows/fieldmap/base.py
index c84fe674..d8a13258 100644
--- a/dmripreproc/workflows/fieldmap/base.py
+++ b/dmripreproc/workflows/fieldmap/base.py
@@ -7,7 +7,13 @@
 
 
 def init_sdc_prep_wf(
-    fmaps, metadata, layout, bet_mag_frac, omp_nthreads=1, fmap_bspline=False
+    subject_id,
+    fmaps,
+    metadata,
+    layout,
+    bet_mag_frac,
+    omp_nthreads=1,
+    fmap_bspline=False,
 ):
 
     sdc_prep_wf = pe.Workflow(name="sdc_prep_wf")
@@ -37,7 +43,17 @@ def init_sdc_prep_wf(
     if fmap["suffix"] == "epi":
         from .pepolar import init_pepolar_wf
 
-        pepolar_wf = init_pepolar_wf()
+        epi_fmaps = [
+            (fmap_["epi"], fmap_["metadata"]["PhaseEncodingDirection"])
+            for fmap_ in fmaps
+            if fmap_["suffix"] == "epi"
+        ]
+
+        pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
+
+        sdc_prep_wf.connect(
+            [(pepolar_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])]
+        )
 
     if fmap["suffix"] == "fieldmap":
         from .fmap import init_fmap_wf

From 299b7a15162ad1c4bb602f2af9b06f0836d104a6 Mon Sep 17 00:00:00 2001
From: Salim Mansour <smansour@higgs.camhres.ca>
Date: Fri, 19 Jul 2019 10:29:56 -0400
Subject: [PATCH 068/156] Added support for topup

---
 dmripreproc/cli.py                        |  15 +-
 dmripreproc/interfaces/fsl.py             | 505 ++++++++++++++++++++++
 dmripreproc/workflows/base.py             |  12 +-
 dmripreproc/workflows/dwi/base.py         |  38 +-
 dmripreproc/workflows/dwi/outputs.py      |   1 +
 dmripreproc/workflows/fieldmap/base.py    |  21 +-
 dmripreproc/workflows/fieldmap/pepolar.py |  59 ++-
 setup.py                                  |   4 +-
 8 files changed, 625 insertions(+), 30 deletions(-)
 create mode 100644 dmripreproc/interfaces/fsl.py

diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index a0a09d22..8a3675a3 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -9,7 +9,7 @@
 import click
 
 from . import utils
-from .workflows.base import init_dmriprepoc_wf
+from .workflows.base import init_dmripreproc_wf
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
@@ -28,12 +28,11 @@
     "can be specified with a space separated list.",
     default=None,
 )
-@click.command()
-@click.option(
-    "--ignore",
-    help="Ignore selected parts of the workflow.",
-    type=click.Choice(["denoise", "unring"]),
-)
+#@click.option(
+#    "--ignore",
+#    help="Ignore selected parts of the workflow.",
+#    type=click.Choice(["denoise", "unring"]),
+#)
 @click.option(
     "--resize-scale", help="Scale factor to resize DWI image", type=(float)
 )
@@ -142,7 +141,7 @@ def main(
     parameters.ignore_nodes = ignore_nodes
     parameters.analysis_level = analysis_level
 
-    wf = init_dmriprep_wf(parameters)
+    wf = init_dmripreproc_wf(parameters)
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
     wf.config["execution"]["keep_inputs"] = True
diff --git a/dmripreproc/interfaces/fsl.py b/dmripreproc/interfaces/fsl.py
new file mode 100644
index 00000000..96962133
--- /dev/null
+++ b/dmripreproc/interfaces/fsl.py
@@ -0,0 +1,505 @@
+#!/usr/bin/env python
+
+from __future__ import (
+    print_function,
+    division,
+    unicode_literals,
+    absolute_import,
+)
+
+from builtins import str
+
+import os
+import numpy as np
+import nibabel as nb
+import warnings
+
+from nipype.interfaces.base import traits, TraitedSpec, InputMultiPath, File, isdefined
+from nipype.interfaces.fsl.base import FSLCommand, FSLCommandInputSpec, Info
+
+class EddyInputSpec(FSLCommandInputSpec):
+    in_file = File(
+        exists=True,
+        mandatory=True,
+        argstr='--imain=%s',
+        desc=('File containing all the images to estimate '
+              'distortions for'))
+    in_mask = File(
+        exists=True,
+        mandatory=True,
+        argstr='--mask=%s',
+        desc='Mask to indicate brain')
+    in_index = File(
+        exists=True,
+        mandatory=True,
+        argstr='--index=%s',
+        desc=('File containing indices for all volumes in --imain '
+              'into --acqp and --topup'))
+    in_acqp = File(
+        exists=True,
+        mandatory=True,
+        argstr='--acqp=%s',
+        desc='File containing acquisition parameters')
+    in_bvec = File(
+        exists=True,
+        mandatory=True,
+        argstr='--bvecs=%s',
+        desc=('File containing the b-vectors for all volumes in '
+              '--imain'))
+    in_bval = File(
+        exists=True,
+        mandatory=True,
+        argstr='--bvals=%s',
+        desc=('File containing the b-values for all volumes in '
+              '--imain'))
+    out_base = traits.Str(
+        'eddy_corrected',
+        argstr='--out=%s',
+        usedefault=True,
+        desc=('basename for output (warped) image'))
+    session = File(
+        exists=True,
+        argstr='--session=%s',
+        desc=('File containing session indices for all volumes in '
+              '--imain'))
+    in_topup_fieldcoef = File(
+        #exists=True,
+        argstr="--topup=%s",
+        requires=['in_topup_movpar'],
+        desc=('topup file containing the field '
+              'coefficients'))
+    in_topup_movpar = File(
+        exists=True,
+        requires=['in_topup_fieldcoef'],
+        desc='topup movpar.txt file')
+
+    flm = traits.Enum(
+        'linear',
+        'quadratic',
+        'cubic',
+        argstr='--flm=%s',
+        desc='First level EC model')
+
+    slm = traits.Enum(
+        'none',
+        'linear',
+        'quadratic',
+        argstr='--slm=%s',
+        desc='Second level EC model')
+
+    fep = traits.Bool(
+        False, argstr='--fep', desc='Fill empty planes in x- or y-directions')
+
+    interp = traits.Enum(
+        'spline',
+        'trilinear',
+        argstr='--interp=%s',
+        desc='Interpolation model for estimation step')
+
+    nvoxhp = traits.Int(
+        1000, usedefault=True,
+        argstr='--nvoxhp=%s',
+        desc=('# of voxels used to estimate the '
+              'hyperparameters'))
+
+    fudge_factor = traits.Float(
+        10.0, usedefault=True,
+        argstr='--ff=%s',
+        desc=('Fudge factor for hyperparameter '
+              'error variance'))
+
+    dont_sep_offs_move = traits.Bool(
+        False,
+        argstr='--dont_sep_offs_move',
+        desc=('Do NOT attempt to separate '
+              'field offset from subject '
+              'movement'))
+
+    dont_peas = traits.Bool(
+        False,
+        argstr='--dont_peas',
+        desc="Do NOT perform a post-eddy alignment of "
+        "shells")
+
+    fwhm = traits.Float(
+        desc=('FWHM for conditioning filter when estimating '
+              'the parameters'),
+        argstr='--fwhm=%s')
+
+    niter = traits.Int(5, usedefault=True,
+                       argstr='--niter=%s', desc='Number of iterations')
+
+    method = traits.Enum(
+        'jac',
+        'lsr',
+        argstr='--resamp=%s',
+        desc=('Final resampling method (jacobian/least '
+              'squares)'))
+    repol = traits.Bool(
+        False, argstr='--repol', desc='Detect and replace outlier slices')
+    num_threads = traits.Int(
+        1,
+        usedefault=True,
+        nohash=True,
+        desc="Number of openmp threads to use")
+    is_shelled = traits.Bool(
+        False,
+        argstr='--data_is_shelled',
+        desc="Override internal check to ensure that "
+        "date are acquired on a set of b-value "
+        "shells")
+    field = traits.Str(
+        argstr='--field=%s',
+        desc="NonTOPUP fieldmap scaled in Hz - filename has "
+        "to be provided without an extension. TOPUP is "
+        "strongly recommended")
+    field_mat = File(
+        exists=True,
+        argstr='--field_mat=%s',
+        desc="Matrix that specifies the relative locations of "
+        "the field specified by --field and first volume "
+        "in file --imain")
+    use_cuda = traits.Bool(False, desc="Run eddy using cuda gpu")
+    cnr_maps = traits.Bool(
+        False, desc='Output CNR-Maps', argstr='--cnr_maps', min_ver='5.0.10')
+    residuals = traits.Bool(
+        False, desc='Output Residuals', argstr='--residuals', min_ver='5.0.10')
+
+
+class EddyOutputSpec(TraitedSpec):
+    out_corrected = File(
+        exists=True, desc='4D image file containing all the corrected volumes')
+    out_parameter = File(
+        exists=True,
+        desc=('text file with parameters definining the field and'
+              'movement for each scan'))
+    out_rotated_bvecs = File(
+        exists=True, desc='File containing rotated b-values for all volumes')
+    out_movement_rms = File(
+        exists=True, desc='Summary of the "total movement" in each volume')
+    out_restricted_movement_rms = File(
+        exists=True,
+        desc=('Summary of the "total movement" in each volume '
+              'disregarding translation in the PE direction'))
+    out_shell_alignment_parameters = File(
+        exists=True,
+        desc=('File containing rigid body movement parameters '
+              'between the different shells as estimated by a '
+              'post-hoc mutual information based registration'))
+    out_outlier_report = File(
+        exists=True,
+        desc=('Text-file with a plain language report on what '
+              'outlier slices eddy has found'))
+    out_cnr_maps = File(
+        exists=True, desc='path/name of file with the cnr_maps')
+    out_residuals = File(
+        exists=True, desc='path/name of file with the residuals')
+
+
+class Eddy(FSLCommand):
+    """
+    Interface for FSL eddy, a tool for estimating and correcting eddy
+    currents induced distortions. `User guide
+    <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Eddy/UsersGuide>`_ and
+    `more info regarding acqp file
+    <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/Faq#How_do_I_know_what_to_put_into_my_--acqp_file>`_.
+    Examples
+    --------
+    >>> from nipype.interfaces.fsl import Eddy
+    >>> eddy = Eddy()
+    >>> eddy.inputs.in_file = 'epi.nii'
+    >>> eddy.inputs.in_mask  = 'epi_mask.nii'
+    >>> eddy.inputs.in_index = 'epi_index.txt'
+    >>> eddy.inputs.in_acqp  = 'epi_acqp.txt'
+    >>> eddy.inputs.in_bvec  = 'bvecs.scheme'
+    >>> eddy.inputs.in_bval  = 'bvals.scheme'
+    >>> eddy.inputs.use_cuda = True
+    >>> eddy.cmdline # doctest: +ELLIPSIS
+    'eddy_cuda --ff=10.0 --acqp=epi_acqp.txt --bvals=bvals.scheme \
+--bvecs=bvecs.scheme --imain=epi.nii --index=epi_index.txt \
+--mask=epi_mask.nii --niter=5 --nvoxhp=1000 --out=.../eddy_corrected'
+    >>> eddy.inputs.use_cuda = False
+    >>> eddy.cmdline # doctest: +ELLIPSIS
+    'eddy_openmp --ff=10.0 --acqp=epi_acqp.txt --bvals=bvals.scheme \
+--bvecs=bvecs.scheme --imain=epi.nii --index=epi_index.txt \
+--mask=epi_mask.nii --niter=5 --nvoxhp=1000 --out=.../eddy_corrected'
+    >>> res = eddy.run() # doctest: +SKIP
+    """
+    _cmd = 'eddy_openmp'
+    input_spec = EddyInputSpec
+    output_spec = EddyOutputSpec
+
+    _num_threads = 1
+
+    def __init__(self, **inputs):
+        super(Eddy, self).__init__(**inputs)
+        self.inputs.on_trait_change(self._num_threads_update, 'num_threads')
+        if not isdefined(self.inputs.num_threads):
+            self.inputs.num_threads = self._num_threads
+        else:
+            self._num_threads_update()
+        self.inputs.on_trait_change(self._use_cuda, 'use_cuda')
+        if isdefined(self.inputs.use_cuda):
+            self._use_cuda()
+
+    def _num_threads_update(self):
+        self._num_threads = self.inputs.num_threads
+        if not isdefined(self.inputs.num_threads):
+            if 'OMP_NUM_THREADS' in self.inputs.environ:
+                del self.inputs.environ['OMP_NUM_THREADS']
+        else:
+            self.inputs.environ['OMP_NUM_THREADS'] = str(
+                self.inputs.num_threads)
+
+    def _use_cuda(self):
+        self._cmd = 'eddy_cuda' if self.inputs.use_cuda else 'eddy_openmp'
+
+    def _run_interface(self, runtime):
+        # If 'eddy_openmp' is missing, use 'eddy'
+        FSLDIR = os.getenv('FSLDIR', '')
+        cmd = self._cmd
+        if all((FSLDIR != '', cmd == 'eddy_openmp',
+                not os.path.exists(os.path.join(FSLDIR, 'bin', cmd)))):
+            self._cmd = 'eddy'
+        runtime = super(Eddy, self)._run_interface(runtime)
+
+        # Restore command to avoid side-effects
+        self._cmd = cmd
+        return runtime
+
+    def _format_arg(self, name, spec, value):
+        if name == 'in_topup_fieldcoef':
+            return spec.argstr % value.split('_fieldcoef')[0]
+        if name == 'out_base':
+            return spec.argstr % os.path.abspath(value)
+        return super(Eddy, self)._format_arg(name, spec, value)
+
+    def _list_outputs(self):
+        outputs = self.output_spec().get()
+        outputs['out_corrected'] = os.path.abspath(
+            '%s.nii.gz' % self.inputs.out_base)
+        outputs['out_parameter'] = os.path.abspath(
+            '%s.eddy_parameters' % self.inputs.out_base)
+
+        # File generation might depend on the version of EDDY
+        out_rotated_bvecs = os.path.abspath(
+            '%s.eddy_rotated_bvecs' % self.inputs.out_base)
+        out_movement_rms = os.path.abspath(
+            '%s.eddy_movement_rms' % self.inputs.out_base)
+        out_restricted_movement_rms = os.path.abspath(
+            '%s.eddy_restricted_movement_rms' % self.inputs.out_base)
+        out_shell_alignment_parameters = os.path.abspath(
+            '%s.eddy_post_eddy_shell_alignment_parameters' %
+            self.inputs.out_base)
+        out_outlier_report = os.path.abspath(
+            '%s.eddy_outlier_report' % self.inputs.out_base)
+        if isdefined(self.inputs.cnr_maps) and self.inputs.cnr_maps:
+            out_cnr_maps = os.path.abspath(
+                '%s.eddy_cnr_maps.nii.gz' % self.inputs.out_base)
+            if os.path.exists(out_cnr_maps):
+                outputs['out_cnr_maps'] = out_cnr_maps
+        if isdefined(self.inputs.residuals) and self.inputs.residuals:
+            out_residuals = os.path.abspath(
+                '%s.eddy_residuals.nii.gz' % self.inputs.out_base)
+            if os.path.exists(out_residuals):
+                outputs['out_residuals'] = out_residuals
+
+        if os.path.exists(out_rotated_bvecs):
+            outputs['out_rotated_bvecs'] = out_rotated_bvecs
+        if os.path.exists(out_movement_rms):
+            outputs['out_movement_rms'] = out_movement_rms
+        if os.path.exists(out_restricted_movement_rms):
+            outputs['out_restricted_movement_rms'] = \
+                out_restricted_movement_rms
+        if os.path.exists(out_shell_alignment_parameters):
+            outputs['out_shell_alignment_parameters'] = \
+                out_shell_alignment_parameters
+        if os.path.exists(out_outlier_report):
+            outputs['out_outlier_report'] = out_outlier_report
+
+        return outputs
+
+class EddyQuadInputSpec(FSLCommandInputSpec):
+    base_name = traits.Str(
+        'eddy_corrected',
+        usedefault=True,
+        argstr='%s',
+        desc=("Basename (including path) for EDDY output files, i.e., "
+              "corrected images and QC files"),
+        position=0,
+    )
+    idx_file = File(
+        exists=True,
+        mandatory=True,
+        argstr="--eddyIdx %s",
+        desc=("File containing indices for all volumes into acquisition "
+              "parameters")
+    )
+    param_file = File(
+        exists=True,
+        mandatory=True,
+        argstr="--eddyParams %s",
+        desc="File containing acquisition parameters"
+    )
+    mask_file = File(
+        exists=True,
+        mandatory=True,
+        argstr="--mask %s",
+        desc="Binary mask file"
+    )
+    bval_file = File(
+        exists=True,
+        mandatory=True,
+        argstr="--bvals %s",
+        desc="b-values file"
+    )
+    bvec_file = File(
+        exists=True,
+        argstr="--bvecs %s",
+        desc=("b-vectors file - only used when <base_name>.eddy_residuals "
+              "file is present")
+    )
+    output_dir = traits.Str(
+        name_template='%s.qc',
+        name_source=['base_name'],
+        argstr='--output-dir %s',
+        desc="Output directory - default = '<base_name>.qc'",
+    )
+    field = File(
+        exists=True,
+        argstr='--field %s',
+        desc="TOPUP estimated field (in Hz)",
+    )
+    slice_spec = File(
+        exists=True,
+        argstr='--slspec %s',
+        desc="Text file specifying slice/group acquisition",
+    )
+    verbose = traits.Bool(
+        argstr='--verbose',
+        desc="Display debug messages",
+    )
+
+
+class EddyQuadOutputSpec(TraitedSpec):
+    qc_json = File(
+        exists=True,
+        desc=("Single subject database containing quality metrics and data "
+              "info.")
+    )
+    qc_pdf = File(
+        exists=True,
+        desc="Single subject QC report."
+    )
+    avg_b_png = traits.List(
+        File(exists=True),
+        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
+              "each averaged b-shell volume.")
+    )
+    avg_b0_pe_png = traits.List(
+        File(exists=True),
+        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
+              "each averaged pe-direction b0 volume. Generated when using "
+              "the -f option.")
+    )
+    cnr_png = traits.List(
+        File(exists=True),
+        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
+              "each b-shell CNR volume. Generated when CNR maps are "
+              "available.")
+    )
+    vdm_png = File(
+        exists=True,
+        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
+              "the voxel displacement map. Generated when using the -f "
+              "option.")
+    )
+    residuals = File(
+        exists=True,
+        desc=("Text file containing the volume-wise mask-averaged squared "
+              "residuals. Generated when residual maps are available.")
+    )
+    clean_volumes = File(
+        exists=True,
+        desc=("Text file containing a list of clean volumes, based on "
+              "the eddy squared residuals. To generate a version of the "
+              "pre-processed dataset without outlier volumes, use: "
+              "`fslselectvols -i <eddy_corrected_data> -o "
+              "eddy_corrected_data_clean --vols=vols_no_outliers.txt`")
+    )
+
+
+class EddyQuad(FSLCommand):
+    """
+    Interface for FSL eddy_quad, a tool for generating single subject reports
+    and storing the quality assessment indices for each subject.
+    `User guide <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddyqc/UsersGuide>`_
+    Examples
+    --------
+    >>> from nipype.interfaces.fsl import EddyQuad
+    >>> quad = EddyQuad()
+    >>> quad.inputs.base_name  = 'eddy_corrected'
+    >>> quad.inputs.idx_file   = 'epi_index.txt'
+    >>> quad.inputs.param_file = 'epi_acqp.txt'
+    >>> quad.inputs.mask_file  = 'epi_mask.nii'
+    >>> quad.inputs.bval_file  = 'bvals.scheme'
+    >>> quad.inputs.bvec_file  = 'bvecs.scheme'
+    >>> quad.inputs.output_dir = 'eddy_corrected.qc'
+    >>> quad.inputs.field      = 'fieldmap_phase_fslprepared.nii'
+    >>> quad.inputs.verbose    = True
+    >>> quad.cmdline
+    'eddy_quad eddy_corrected --bvals bvals.scheme --bvecs bvecs.scheme \
+--field fieldmap_phase_fslprepared.nii --eddyIdx epi_index.txt \
+--mask epi_mask.nii --output-dir eddy_corrected.qc --eddyParams epi_acqp.txt \
+--verbose'
+    >>> res = quad.run() # doctest: +SKIP
+    """
+    _cmd = 'eddy_quad'
+    input_spec = EddyQuadInputSpec
+    output_spec = EddyQuadOutputSpec
+
+    def _list_outputs(self):
+        from glob import glob
+        outputs = self.output_spec().get()
+
+        # If the output directory isn't defined, the interface seems to use
+        # the default but not set its value in `self.inputs.output_dir`
+        if not isdefined(self.inputs.output_dir):
+            out_dir = os.path.abspath(os.path.basename(self.inputs.base_name) + '.qc')
+        else:
+            out_dir = os.path.abspath(self.inputs.output_dir)
+
+        outputs['qc_json'] = os.path.join(out_dir, 'qc.json')
+        outputs['qc_pdf'] = os.path.join(out_dir, 'qc.pdf')
+
+        # Grab all b* files here. This will also grab the b0_pe* files
+        # as well, but only if the field input was provided. So we'll remove
+        # them later in the next conditional.
+        outputs['avg_b_png'] = sorted(glob(
+            os.path.join(out_dir, 'avg_b*.png')
+        ))
+
+        if isdefined(self.inputs.field):
+            outputs['avg_b0_pe_png'] = sorted(glob(
+                os.path.join(out_dir, 'avg_b0_pe*.png')
+            ))
+
+            # The previous glob for `avg_b_png` also grabbed the
+            # `avg_b0_pe_png` files so we have to remove them
+            # from `avg_b_png`.
+            for fname in outputs['avg_b0_pe_png']:
+                outputs['avg_b_png'].remove(fname)
+
+            outputs['vdm_png'] = os.path.join(out_dir, 'vdm.png')
+
+        outputs['cnr_png'] = sorted(glob(os.path.join(out_dir, 'cnr*.png')))
+
+        residuals = os.path.join(out_dir, 'eddy_msr.txt')
+        if os.path.isfile(residuals):
+            outputs['residuals'] = residuals
+
+        clean_volumes = os.path.join(out_dir, 'vols_no_outliers.txt')
+        if os.path.isfile(clean_volumes):
+            outputs['clean_volumes'] = clean_volumes
+
+        return outputs
diff --git a/dmripreproc/workflows/base.py b/dmripreproc/workflows/base.py
index d7e8aa66..20f86365 100644
--- a/dmripreproc/workflows/base.py
+++ b/dmripreproc/workflows/base.py
@@ -7,9 +7,9 @@
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
-def init_dmriprep_wf(parameters):
-    dmriprep_wf = pe.Workflow(name="dmriprep_wf")
-    dmriprep_wf.base_dir = parameters.work_dir
+def init_dmripreproc_wf(parameters):
+    dmripreproc_wf = pe.Workflow(name="dmripreproc_wf")
+    dmripreproc_wf.base_dir = parameters.work_dir
 
     for subject_id in parameters.subject_list:
 
@@ -26,9 +26,9 @@ def init_dmriprep_wf(parameters):
         for node in single_subject_wf._get_all_nodes():
             node.config = deepcopy(single_subject_wf.config)
 
-        dmriprepoc_wf.add_nodes([single_subject_wf])
+        dmripreproc_wf.add_nodes([single_subject_wf])
 
-    return dmriprepoc_wf
+    return dmripreproc_wf
 
 
 def init_single_subject_wf(subject_id, name, parameters):
@@ -72,7 +72,7 @@ def init_single_subject_wf(subject_id, name, parameters):
         inputspec = dwi_preproc_wf.get_node("inputnode")
         inputspec.inputs.subject_id = subject_id
         inputspec.inputs.dwi_file = dwi_file
-        inputspec.inputs.metadata = metadata
+        inputspec.inputs.dwi_meta = metadata
         inputspec.inputs.bvec_file = parameters.layout.get_bvec(dwi_file)
         inputspec.inputs.bval_file = parameters.layout.get_bval(dwi_file)
         inputspec.inputs.out_dir = os.path.abspath(parameters.output_dir)
diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
index fdce43d8..9c775d41 100755
--- a/dmripreproc/workflows/dwi/base.py
+++ b/dmripreproc/workflows/dwi/base.py
@@ -13,9 +13,11 @@
 from numba import cuda
 
 from ...interfaces import mrtrix3
+from ...interfaces import fsl as dmri_fsl
 from ..fieldmap.base import init_sdc_prep_wf
 from .dwiprep import init_dwiprep_wf
 
+FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
 
@@ -42,7 +44,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
             fields=[
                 "subject_id",
                 "dwi_file",
-                "di_meta",
+                "dwi_meta",
                 "bvec_file",
                 "bval_file",
                 "out_dir",
@@ -190,7 +192,7 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
     # mrtrix3.MaskFilter
 
     ecc = pe.Node(
-        fsl.Eddy(repol=True, cnr_maps=True, residuals=True, method="jac"),
+        dmri_fsl.Eddy(repol=True, cnr_maps=True, residuals=True, method="jac"),
         name="fsl_eddy",
     )
 
@@ -238,6 +240,35 @@ def get_b0_mask_fn(b0_file):
         name="getB0Mask",
     )
 
+    # Decide what ecc will take: topup or fmap
+    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+    fmap = fmaps[0]
+    # If epi files detected
+    if fmap["suffix"] == "epi" or True:
+        dwi_wf.connect(
+            [
+                (
+                    sdc_wf,
+                    ecc,
+                    [
+                        ("outputnode.out_topup", "in_topup_fieldcoef"),
+                        ("outputnode.out_enc_file", "in_acqp"),
+                        ("outputnode.out_movpar", "in_topup_movpar"),
+                    ],
+                ),
+                (sdc_wf, eddy_quad, [("outputnode.out_enc_file", "param_file")])
+            ]
+        )
+    # Otherwise (fieldmaps)
+    else:
+        dwi_wf.connect(
+            [
+                (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
+                (acqp, ecc, [("out_file", "in_acqp")]),
+                (acqp, eddy_quad, [("out_file", "param_file")])
+            ]
+        )
+
     dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name="dtifit")
 
     dwi_wf.connect(
@@ -268,7 +299,6 @@ def get_b0_mask_fn(b0_file):
             ),
             (bet_dwi0, ecc, [("mask_file", "in_mask")]),
             (gen_idx, ecc, [("out_file", "in_index")]),
-            (acqp, ecc, [("out_file", "in_acqp")]),
             (ecc, denoise_eddy, [("out_corrected", "in_file")]),
             (ecc, fslroi, [("out_corrected", "in_file")]),
             (fslroi, b0mask_node, [("roi_file", "b0_file")]),
@@ -284,12 +314,10 @@ def get_b0_mask_fn(b0_file):
             (ecc, eddy_quad, [("out_rotated_bvecs", "bvec_file")]),
             (b0mask_node, eddy_quad, [("mask_file", "mask_file")]),
             (gen_idx, eddy_quad, [("out_file", "idx_file")]),
-            (acqp, eddy_quad, [("out_file", "param_file")]),
             (ecc, outputnode, [("out_corrected", "out_file")]),
             (b0mask_node, outputnode, [("mask_file", "out_mask")]),
             (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
             (bet_dwi0, sdc_wf, [("out_file", "inputnode.b0_stripped")]),
-            (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
             (sdc_wf, eddy_quad, [("outputnode.out_fmap", "field")]),
             (
                 ecc,
diff --git a/dmripreproc/workflows/dwi/outputs.py b/dmripreproc/workflows/dwi/outputs.py
index a69322f9..3d09c9de 100644
--- a/dmripreproc/workflows/dwi/outputs.py
+++ b/dmripreproc/workflows/dwi/outputs.py
@@ -33,6 +33,7 @@ def init_output_wf(subject_id, session_id, output_folder):
     )
 
     def build_path(output_folder, subject_id, session_id):
+        import os
 
         return os.path.join(
             output_folder,
diff --git a/dmripreproc/workflows/fieldmap/base.py b/dmripreproc/workflows/fieldmap/base.py
index d8a13258..c656e723 100644
--- a/dmripreproc/workflows/fieldmap/base.py
+++ b/dmripreproc/workflows/fieldmap/base.py
@@ -26,12 +26,15 @@ def init_sdc_prep_wf(
         niu.IdentityInterface(
             fields=[
                 "out_fmap",
+                "out_topup",
                 "bold_ref",
                 "bold_mask",
                 "bold_ref_brain",
                 "out_warp",
                 "syn_bold_ref",
                 "method",
+                "out_movpar",
+                "out_enc_file",
             ]
         ),
         name="outputnode",
@@ -52,7 +55,23 @@ def init_sdc_prep_wf(
         pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
 
         sdc_prep_wf.connect(
-            [(pepolar_wf, outputnode, [("outputnode.out_fmap", "out_fmap")])]
+            [
+                (
+                    inputnode,
+                    pepolar_wf,
+                    [("b0_stripped", "inputnode.b0_stripped")],
+                ),
+                (
+                    pepolar_wf,
+                    outputnode,
+                    [
+                        ("outputnode.out_topup", "out_topup"),
+                        ("outputnode.out_movpar", "out_movpar"),
+                        ("outputnode.out_enc_file", "out_enc_file"),
+                        ("outputnode.out_fmap", "out_fmap")
+                    ],
+                )
+            ]
         )
 
     if fmap["suffix"] == "fieldmap":
diff --git a/dmripreproc/workflows/fieldmap/pepolar.py b/dmripreproc/workflows/fieldmap/pepolar.py
index 34ca318c..413299c5 100644
--- a/dmripreproc/workflows/fieldmap/pepolar.py
+++ b/dmripreproc/workflows/fieldmap/pepolar.py
@@ -8,14 +8,18 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
     dwi_file_pe = dwi_meta["PhaseEncodingDirection"]
 
+    file2dir = dict()
+
     usable_fieldmaps_matching_pe = []
     usable_fieldmaps_opposite_pe = []
 
     for fmap, pe_dir in epi_fmaps:
         if pe_dir == dwi_file_pe:
             usable_fieldmaps_matching_pe.append(fmap)
+            file2dir[fmap] = pe_dir
         elif pe_dir[0] == dwi_file_pe[0]:
             usable_fieldmaps_opposite_pe.append(fmap)
+            file2dir[fmap] = pe_dir
 
     if not usable_fieldmaps_opposite_pe:
         raise Exception("None of the discovered fieldmaps for "
@@ -24,12 +28,13 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
     wf = pe.Workflow(name="pepolar_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]))
+    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name = "inputnode")
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_topup"]))
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]), name = "outputnode")
 
     topup_wf = init_topup_wf()
-    topup_wf.inputnode.altepi_file = usable_fieldmaps_opposite_pe[0]
+    topup_wf.inputs.inputnode.altepi_file = usable_fieldmaps_opposite_pe[0]
+    wf.add_nodes([inputnode])
 
     if not usable_fieldmaps_matching_pe:
         wf.connect(
@@ -38,7 +43,33 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
             ]
         )
     else:
-        topup_wf.inputnode.epi_file = usable_fieldmaps_matching_pe[0]
+        topup_wf.inputs.inputnode.epi_file = usable_fieldmaps_matching_pe[0]
+
+    epi_list = [topup_wf.inputs.inputnode.epi_file, topup_wf.inputs.inputnode.altepi_file]
+    dir_map = {
+        'i': 'x',
+        'i-': 'x-',
+        'j': 'y',
+        'j-': 'y-',
+        'k': 'z',
+        'k-': 'z-'
+    }
+    topup_wf.inputs.inputnode.encoding_directions = [dir_map[file2dir[file]] for file in epi_list]
+
+    wf.connect(
+        [
+            (
+                topup_wf,
+                outputnode,
+                [
+                    ("outputnode.out_fmap", "out_fmap"),
+                    ("outputnode.out_movpar", "out_movpar"),
+                    ("outputnode.out_base", "out_topup"),
+                    ("outputnode.out_enc_file", "out_enc_file"),
+                ]
+            ),
+        ]
+    )
 
     return wf
 
@@ -48,11 +79,12 @@ def init_topup_wf():
     wf = pe.Workflow(name="topup_wf")
 
     inputnode = pe.Node(
-        niu.IdentityInterface(fields=["epi_file", "altepi_file", "encoding_directions"]),
+        niu.IdentityInterface(fields=["epi_file", "altepi_file", "encoding_directions", "topup_name"]),
         name="inputnode")
+    inputnode.inputs.topup_name = "topup_base"
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_fmap"]),
+        niu.IdentityInterface(fields=["out_fmap", "out_movpar", "out_base", "out_enc_file"]),
         name="outputnode")
 
     list_merge = pe.Node(niu.Merge(numinputs=2), name="list_merge")
@@ -62,6 +94,8 @@ def init_topup_wf():
     topup = pe.Node(fsl.TOPUP(), name="topup")
     topup.inputs.readout_times = [0.05, 0.05]
 
+    get_base_movpar = lambda x: x.split("_movpar.txt")[0]
+
     wf.connect(
         [
             (
@@ -70,9 +104,18 @@ def init_topup_wf():
                 [("epi_file", "in1"), ("altepi_file", "in2")]
             ),
             (list_merge, merge, [("out", "in_files")]),
-            (merge, topup, [("merged_file", "in_file")]),
             (inputnode, topup, [("encoding_directions", "encoding_direction")]),
-            (topup, outputnode, [("out_field", "out_fmap")]),
+            (merge, topup, [("merged_file", "in_file")]),
+            (
+                topup,
+                outputnode,
+                [
+                    ("out_field", "out_fmap"),
+                    ("out_movpar", "out_movpar"),
+                    ("out_enc_file", "out_enc_file"),
+                    (("out_movpar", get_base_movpar), "out_base")
+                ]
+            ),
         ]
     )
 
diff --git a/setup.py b/setup.py
index 90e755b3..0a14d1b0 100644
--- a/setup.py
+++ b/setup.py
@@ -45,7 +45,7 @@
     description="Preprocessing of neuroimaging data in preparation for AFQ analysis",
     entry_points={
         "console_scripts": [
-            "dmriprepoc=dmriprepoc.cli:main",
+            "dmriprepoc=dmripreproc.cli:main",
             "dmriprepoc-data=dmriprepoc.cli:data",
             "dmriprepoc-upload=dmriprepoc.cli:upload",
         ]
@@ -57,7 +57,7 @@
     include_package_data=True,
     keywords="dmriprepoc",
     name="dmriprepoc",
-    packages=find_packages(include=["dmriprepoc*"]),
+    packages=find_packages(include=["dmripreproc*"]),
     setup_requires=setup_requirements,
     test_suite="tests",
     tests_require=test_requirements,

From dc30025d94cd945e8926c32193090257910a53d2 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Fri, 19 Jul 2019 11:04:17 -0400
Subject: [PATCH 069/156] dmripreproc renaming

---
 .github/ISSUE_TEMPLATE.md            |  2 +-
 .travis.yml                          |  2 +-
 CONTRIBUTING.rst                     | 28 ++++++++++++++--------------
 Makefile                             |  8 ++++----
 README.rst                           | 24 ++++++++++++------------
 dmripreproc/__init__.py              |  8 ++++----
 dmripreproc/cli.py                   |  4 ++--
 dmripreproc/workflows/dwi/outputs.py |  2 +-
 docs/Makefile                        |  2 +-
 docs/conf.py                         | 26 +++++++++++++-------------
 docs/dmriprep.interfaces.rst         | 12 ++++++------
 docs/dmriprep.rst                    | 20 ++++++++++----------
 docs/dmriprep.workflows.dwi.rst      | 16 ++++++++--------
 docs/dmriprep.workflows.fieldmap.rst | 16 ++++++++--------
 docs/dmriprep.workflows.rst          | 12 ++++++------
 docs/img/dmriprep_icon.svg           |  4 ++--
 docs/index.rst                       |  2 +-
 docs/installation.rst                | 16 ++++++++--------
 docs/make.bat                        |  2 +-
 docs/modules.rst                     |  4 ++--
 docs/usage.rst                       |  4 ++--
 setup.cfg                            |  2 +-
 setup.py                             | 12 ++++++------
 tests/test_dmriprep.py               |  4 ++--
 tests/test_utils.py                  |  4 ++--
 tox.ini                              |  2 +-
 26 files changed, 119 insertions(+), 119 deletions(-)

diff --git a/.github/ISSUE_TEMPLATE.md b/.github/ISSUE_TEMPLATE.md
index b1e3287a..48e96685 100644
--- a/.github/ISSUE_TEMPLATE.md
+++ b/.github/ISSUE_TEMPLATE.md
@@ -1,4 +1,4 @@
-* dmriprepoc version:
+* dmripreproc version:
 * Python version:
 * Operating System:
 
diff --git a/.travis.yml b/.travis.yml
index 3f5e8338..bd44759d 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -24,5 +24,5 @@ deploy:
     secure: PLEASE_REPLACE_ME
   on:
     tags: true
-    repo: tigrlab/dmriprepocroc
+    repo: tigrlab/dmripreprocroc
     python: 3.7
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 7b7906a9..0162eab2 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -7,10 +7,10 @@ Contributing
 Contributions are welcome, and they are greatly appreciated! Every little bit
 helps, and credit will always be given.
 
-Installing a development version of dmriprepoc
+Installing a development version of dmripreproc
 --------------------------------------------
 
-First, you can install a development version of dmriprepoc by cloning this repository
+First, you can install a development version of dmripreproc by cloning this repository
 and then typing::
 
     $ pip install -e .[dev]
@@ -32,7 +32,7 @@ You can contribute in many ways:
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/nipy/dmriprepoc/issues.
+Report bugs at https://github.com/nipy/dmripreproc/issues.
 
 If you are reporting a bug, please include:
 
@@ -55,14 +55,14 @@ and "help wanted" is open to whoever wants to implement it.
 Write Documentation
 ~~~~~~~~~~~~~~~~~~~
 
-dmriprepoc could always use more documentation, whether as part of the
-official dmriprepoc docs, in docstrings, or even on the web in blog posts,
+dmripreproc could always use more documentation, whether as part of the
+official dmripreproc docs, in docstrings, or even on the web in blog posts,
 articles, and such.
 
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/nipy/dmriprepoc/issues.
+The best way to send feedback is to file an issue at https://github.com/nipy/dmripreproc/issues.
 
 If you are proposing a feature:
 
@@ -74,17 +74,17 @@ If you are proposing a feature:
 Get Started!
 ------------
 
-Ready to contribute? Here's how to set up `dmriprepoc` for local development.
+Ready to contribute? Here's how to set up `dmripreproc` for local development.
 
-1. Fork the `dmriprepoc` repo on GitHub.
+1. Fork the `dmripreproc` repo on GitHub.
 2. Clone your fork locally::
 
-    $ git clone git@github.com:your_name_here/dmriprepoc.git
+    $ git clone git@github.com:your_name_here/dmripreproc.git
 
 3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::
 
-    $ mkvirtualenv dmriprepoc
-    $ cd dmriprepoc/
+    $ mkvirtualenv dmripreproc
+    $ cd dmripreproc/
     $ python setup.py develop
 
 4. Create a branch for local development::
@@ -96,7 +96,7 @@ Ready to contribute? Here's how to set up `dmriprepoc` for local development.
 5. When you're done making changes, check that your changes pass flake8 and the
    tests, including testing other Python versions with tox::
 
-    $ flake8 dmriprepoc tests
+    $ flake8 dmripreproc tests
     $ python setup.py test or py.test
     $ tox
 
@@ -120,7 +120,7 @@ Before you submit a pull request, check that it meets these guidelines:
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
 3. The pull request should work for Python 3.5, 3.6 and 3.7, and for PyPy. Check
-   https://travis-ci.org/nipy/dmriprepoc/pull_requests
+   https://travis-ci.org/nipy/dmripreproc/pull_requests
    and make sure that the tests pass for all supported Python versions.
 
 When opening a pull request, please use one of the following prefixes:
@@ -137,7 +137,7 @@ Tips
 
 To run a subset of tests::
 
-$ py.test tests.test_dmriprepoc
+$ py.test tests.test_dmripreproc
 
 
 Deploying
diff --git a/Makefile b/Makefile
index 88ba6d85..4c048710 100644
--- a/Makefile
+++ b/Makefile
@@ -51,7 +51,7 @@ clean-test: ## remove test and coverage artifacts
 	rm -fr .pytest_cache
 
 lint: ## check style with flake8
-	flake8 dmriprepoc tests
+	flake8 dmripreproc tests
 
 test: ## run tests quickly with the default Python
 	py.test
@@ -60,15 +60,15 @@ test-all: ## run tests on every Python version with tox
 	tox
 
 coverage: ## check code coverage quickly with the default Python
-	coverage run --source dmriprepoc -m pytest
+	coverage run --source dmripreproc -m pytest
 	coverage report -m
 	coverage html
 	$(BROWSER) htmlcov/index.html
 
 docs: ## generate Sphinx HTML documentation, including API docs
-	rm -f docs/dmriprepoc.rst
+	rm -f docs/dmripreproc.rst
 	rm -f docs/modules.rst
-	sphinx-apidoc -o docs/ dmriprepoc
+	sphinx-apidoc -o docs/ dmripreproc
 	$(MAKE) -C docs clean
 	$(MAKE) -C docs html
 	$(BROWSER) docs/_build/html/index.html
diff --git a/README.rst b/README.rst
index e882d9e6..0426ffce 100644
--- a/README.rst
+++ b/README.rst
@@ -3,12 +3,12 @@
 .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
     :target: https://github.com/python/black
 
-# <img alt="dmriprepoc" src="docs/img/dmriprepoc_icon.svg" height="128"> dmriprepoc
+# <img alt="dmripreproc" src="docs/img/dmripreproc_icon.svg" height="128"> dmripreproc
 
 Preprocessing of neuroimaging data in preparation for AFQ analysis
 
 * Free software: BSD license
-* Documentation: https://dmriprepoc.readthedocs.io.
+* Documentation: https://dmripreproc.readthedocs.io.
 
 ## Preparing your data
 
@@ -32,28 +32,28 @@ You should have raw data organized in the BIDS format. Also, you should have run
 ## Quickstart
 
 ```bash
-git clone https://github.com/nipy/dmriprepoc
-cd dmriprepoc
+git clone https://github.com/nipy/dmripreproc
+cd dmripreproc
 python setup.py install
 
-dmriprepoc $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
+dmripreproc $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
 ```
 
 ```bash
-git clone https://github.com/nipy/dmriprepoc
-cd dmriprepoc
+git clone https://github.com/nipy/dmripreproc
+cd dmripreproc
 make docker
 
 # If you don't want to log into the docker image:
 
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprepoc:prod dmriprepoc /inputs /outputs
+docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmripreproc:prod dmripreproc /inputs /outputs
 
 # If you want to log into the image:
 
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprepoc:prod
+docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmripreproc:prod
 
 # Run this inside the docker image:
-dmriprepoc /inputs /outpus --participant-label 01
+dmripreproc /inputs /outpus --participant-label 01
 ```
 
 ## Features
@@ -62,11 +62,11 @@ dmriprepoc /inputs /outpus --participant-label 01
 
 ## Contributing
 
-We love contributions! dmriprepoc is open source, built on open source,
+We love contributions! dmripreproc is open source, built on open source,
 and we'd love to have you hang out in our community.
 
 We have developed some [guidelines](CONTRIBUTING.rst) for contributing to
-dmriprepoc.
+dmripreproc.
 
 **Imposter syndrome disclaimer**: We want your help. No, really.
 
diff --git a/dmripreproc/__init__.py b/dmripreproc/__init__.py
index ea3a9a84..c1bef0e6 100644
--- a/dmripreproc/__init__.py
+++ b/dmripreproc/__init__.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Top-level package for dmriprepoc."""
+"""Top-level package for dmripreproc."""
 
 __author__ = """Anisha Keshavan"""
 __email__ = "anishakeshavan@gmail.com"
@@ -22,13 +22,13 @@
 
 # get the log level from environment variable
 if "DMIRPREP_LOGLEVEL" in os.environ:
-    loglevel = os.environ["dmriprepoc_LOGLEVEL"]
+    loglevel = os.environ["dmripreproc_LOGLEVEL"]
     module_logger.setLevel(getattr(logging, loglevel.upper()))
 else:
     module_logger.setLevel(logging.WARNING)
 
 # create a file handler
-logpath = os.path.join(os.path.expanduser("~"), ".dmriprepoc", "dmriprepoc.log")
+logpath = os.path.join(os.path.expanduser("~"), ".dmripreproc", "dmripreproc.log")
 
 # Create the config directory if it doesn't exist
 logdir = os.path.dirname(logpath)
@@ -52,4 +52,4 @@
 
 # add the handlers to the logger
 module_logger.addHandler(handler)
-module_logger.info("Started new dmriprepoc session")
+module_logger.info("Started new dmripreproc session")
diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index 8a3675a3..3d3eb41c 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Console script for dmriprepoc."""
+"""Console script for dmripreproc."""
 import os
 import sys
 import warnings
@@ -115,7 +115,7 @@ def main(
     """
     if analysis_level is not "participant":
         raise NotImplementedError(
-            "The only valid analysis level for dmriprepoc "
+            "The only valid analysis level for dmripreproc "
             "is participant at the moment."
         )
 
diff --git a/dmripreproc/workflows/dwi/outputs.py b/dmripreproc/workflows/dwi/outputs.py
index 3d09c9de..8e1a6f87 100644
--- a/dmripreproc/workflows/dwi/outputs.py
+++ b/dmripreproc/workflows/dwi/outputs.py
@@ -37,7 +37,7 @@ def build_path(output_folder, subject_id, session_id):
 
         return os.path.join(
             output_folder,
-            "dmriprepoc",
+            "dmripreproc",
             "sub-" + subject_id,
             "ses-" + session_id,
             "dwi",
diff --git a/docs/Makefile b/docs/Makefile
index 22b578e9..de207f3c 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -4,7 +4,7 @@
 # You can set these variables from the command line.
 SPHINXOPTS    =
 SPHINXBUILD   = python -msphinx
-SPHINXPROJ    = dmriprepoc
+SPHINXPROJ    = dmripreproc
 SOURCEDIR     = .
 BUILDDIR      = _build
 
diff --git a/docs/conf.py b/docs/conf.py
index bbc5fb7f..263b8ac8 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 #
-# dmriprepoc documentation build configuration file, created by
+# dmripreproc documentation build configuration file, created by
 # sphinx-quickstart on Fri Jun  9 13:47:02 2017.
 #
 # This file is execfile()d with the current directory set to its
@@ -22,7 +22,7 @@
 import sys
 sys.path.insert(0, os.path.abspath('..'))
 
-import dmriprepoc
+import dmripreproc
 
 # -- General configuration ---------------------------------------------
 
@@ -47,7 +47,7 @@
 master_doc = 'index'
 
 # General information about the project.
-project = u'dmriprepoc'
+project = u'dmripreproc'
 copyright = u"2018, Anisha Keshavan"
 author = u"Anisha Keshavan"
 
@@ -56,9 +56,9 @@
 # the built documents.
 #
 # The short X.Y version.
-version = dmriprepoc.__version__
+version = dmripreproc.__version__
 # The full version, including alpha/beta/rc tags.
-release = dmriprepoc.__version__
+release = dmripreproc.__version__
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -101,7 +101,7 @@
 # -- Options for HTMLHelp output ---------------------------------------
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = 'dmriprepocdoc'
+htmlhelp_basename = 'dmripreprocdoc'
 
 
 # -- Options for LaTeX output ------------------------------------------
@@ -128,8 +128,8 @@
 # (source start file, target name, title, author, documentclass
 # [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, 'dmriprepoc.tex',
-     u'dmriprepoc Documentation',
+    (master_doc, 'dmripreproc.tex',
+     u'dmripreproc Documentation',
      u'Anisha Keshavan', 'manual'),
 ]
 
@@ -139,8 +139,8 @@
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    (master_doc, 'dmriprepoc',
-     u'dmriprepoc Documentation',
+    (master_doc, 'dmripreproc',
+     u'dmripreproc Documentation',
      [author], 1)
 ]
 
@@ -151,10 +151,10 @@
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-    (master_doc, 'dmriprepoc',
-     u'dmriprepoc Documentation',
+    (master_doc, 'dmripreproc',
+     u'dmripreproc Documentation',
      author,
-     'dmriprepoc',
+     'dmripreproc',
      'One line description of project.',
      'Miscellaneous'),
 ]
diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
index 81890580..beb6f852 100644
--- a/docs/dmriprep.interfaces.rst
+++ b/docs/dmriprep.interfaces.rst
@@ -1,21 +1,21 @@
-dmriprepoc.interfaces package
+dmripreproc.interfaces package
 ===========================
 
 Submodules
 ----------
 
-dmriprepoc.interfaces.fmap module
+dmripreproc.interfaces.fmap module
 -------------------------------
 
-.. automodule:: dmriprepoc.interfaces.fmap
+.. automodule:: dmripreproc.interfaces.fmap
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprepoc.interfaces.mrtrix3 module
+dmripreproc.interfaces.mrtrix3 module
 ----------------------------------
 
-.. automodule:: dmriprepoc.interfaces.mrtrix3
+.. automodule:: dmripreproc.interfaces.mrtrix3
    :members:
    :undoc-members:
    :show-inheritance:
@@ -24,7 +24,7 @@ dmriprepoc.interfaces.mrtrix3 module
 Module contents
 ---------------
 
-.. automodule:: dmriprepoc.interfaces
+.. automodule:: dmripreproc.interfaces
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
index dd17d085..5f279a7d 100644
--- a/docs/dmriprep.rst
+++ b/docs/dmriprep.rst
@@ -1,4 +1,4 @@
-dmriprepoc package
+dmripreproc package
 ================
 
 Subpackages
@@ -6,32 +6,32 @@ Subpackages
 
 .. toctree::
 
-   dmriprepoc.interfaces
-   dmriprepoc.workflows
+   dmripreproc.interfaces
+   dmripreproc.workflows
 
 Submodules
 ----------
 
-dmriprepoc.cli module
+dmripreproc.cli module
 -------------------
 
-.. automodule:: dmriprepoc.cli
+.. automodule:: dmripreproc.cli
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprepoc.qc module
+dmripreproc.qc module
 ------------------
 
-.. automodule:: dmriprepoc.qc
+.. automodule:: dmripreproc.qc
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprepoc.utils module
+dmripreproc.utils module
 ---------------------
 
-.. automodule:: dmriprepoc.utils
+.. automodule:: dmripreproc.utils
    :members:
    :undoc-members:
    :show-inheritance:
@@ -40,7 +40,7 @@ dmriprepoc.utils module
 Module contents
 ---------------
 
-.. automodule:: dmriprepoc
+.. automodule:: dmripreproc
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
index 66a921ff..6758e8c9 100644
--- a/docs/dmriprep.workflows.dwi.rst
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -1,29 +1,29 @@
-dmriprepoc.workflows.dwi package
+dmripreproc.workflows.dwi package
 ==============================
 
 Submodules
 ----------
 
-dmriprepoc.workflows.dwi.base module
+dmripreproc.workflows.dwi.base module
 ----------------------------------
 
-.. automodule:: dmriprepoc.workflows.dwi.base
+.. automodule:: dmripreproc.workflows.dwi.base
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprepoc.workflows.dwi.outputs module
+dmripreproc.workflows.dwi.outputs module
 -------------------------------------
 
-.. automodule:: dmriprepoc.workflows.dwi.outputs
+.. automodule:: dmripreproc.workflows.dwi.outputs
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprepoc.workflows.dwi.tensor module
+dmripreproc.workflows.dwi.tensor module
 ------------------------------------
 
-.. automodule:: dmriprepoc.workflows.dwi.tensor
+.. automodule:: dmripreproc.workflows.dwi.tensor
    :members:
    :undoc-members:
    :show-inheritance:
@@ -32,7 +32,7 @@ dmriprepoc.workflows.dwi.tensor module
 Module contents
 ---------------
 
-.. automodule:: dmriprepoc.workflows.dwi
+.. automodule:: dmripreproc.workflows.dwi
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index 6ad3e485..c1139a3d 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -1,29 +1,29 @@
-dmriprepoc.workflows.fieldmap package
+dmripreproc.workflows.fieldmap package
 ===================================
 
 Submodules
 ----------
 
-dmriprepoc.workflows.fieldmap.base module
+dmripreproc.workflows.fieldmap.base module
 ---------------------------------------
 
-.. automodule:: dmriprepoc.workflows.fieldmap.base
+.. automodule:: dmripreproc.workflows.fieldmap.base
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprepoc.workflows.fieldmap.fmap module
+dmripreproc.workflows.fieldmap.fmap module
 ---------------------------------------
 
-.. automodule:: dmriprepoc.workflows.fieldmap.fmap
+.. automodule:: dmripreproc.workflows.fieldmap.fmap
    :members:
    :undoc-members:
    :show-inheritance:
 
-dmriprepoc.workflows.fieldmap.phasediff module
+dmripreproc.workflows.fieldmap.phasediff module
 --------------------------------------------
 
-.. automodule:: dmriprepoc.workflows.fieldmap.phasediff
+.. automodule:: dmripreproc.workflows.fieldmap.phasediff
    :members:
    :undoc-members:
    :show-inheritance:
@@ -32,7 +32,7 @@ dmriprepoc.workflows.fieldmap.phasediff module
 Module contents
 ---------------
 
-.. automodule:: dmriprepoc.workflows.fieldmap
+.. automodule:: dmripreproc.workflows.fieldmap
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmriprep.workflows.rst b/docs/dmriprep.workflows.rst
index 11d0f655..744abc81 100644
--- a/docs/dmriprep.workflows.rst
+++ b/docs/dmriprep.workflows.rst
@@ -1,4 +1,4 @@
-dmriprepoc.workflows package
+dmripreproc.workflows package
 ==========================
 
 Subpackages
@@ -6,16 +6,16 @@ Subpackages
 
 .. toctree::
 
-   dmriprepoc.workflows.dwi
-   dmriprepoc.workflows.fieldmap
+   dmripreproc.workflows.dwi
+   dmripreproc.workflows.fieldmap
 
 Submodules
 ----------
 
-dmriprepoc.workflows.base module
+dmripreproc.workflows.base module
 ------------------------------
 
-.. automodule:: dmriprepoc.workflows.base
+.. automodule:: dmripreproc.workflows.base
    :members:
    :undoc-members:
    :show-inheritance:
@@ -24,7 +24,7 @@ dmriprepoc.workflows.base module
 Module contents
 ---------------
 
-.. automodule:: dmriprepoc.workflows
+.. automodule:: dmripreproc.workflows
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/img/dmriprep_icon.svg b/docs/img/dmriprep_icon.svg
index e6df76d0..68296c30 100644
--- a/docs/img/dmriprep_icon.svg
+++ b/docs/img/dmriprep_icon.svg
@@ -1,9 +1,9 @@
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font-family="Fredoka One" font-weight="700" font-style="normal" letter-spacing="2.03" alignment-baseline="before-edge" transform="matrix(0.8371954324630368 -0.5468902542839948 0.5446574403310958 0.8386674730333802 87.11677234781712 433.07442224191846)" style="line-height:100%" xml:space="preserve" dominant-baseline="text-before-edge" fill="white" fill-opacity="1" filter="url(#shadow2762651)"><tspan x="312.46" dy="0em" alignment-baseline="before-edge" dominant-baseline="text-before-edge" text-anchor="middle">dmripreproc</tspan></text></g><use xlink:href="#c6kUTz9yh" opacity="1" fill="#8964ae" fill-opacity="1"></use></g><g><use xlink:href="#aDmSFbrBT" opacity="1" fill="#bfb8c6" fill-opacity="1"></use><g><filter id="shadow535826" x="495.78" y="421.61" width="91" height="91" filterUnits="userSpaceOnUse" primitiveUnits="userSpaceOnUse"><feFlood></feFlood><feComposite in2="SourceAlpha" operator="out"></feComposite><feGaussianBlur stdDeviation="3.16"></feGaussianBlur><feOffset dx="-5" dy="-5" 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\ No newline at end of file
diff --git a/docs/index.rst b/docs/index.rst
index 18515044..f3ef5b39 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,4 +1,4 @@
-Welcome to dmriprepoc's documentation!
+Welcome to dmripreproc's documentation!
 ======================================
 
 .. toctree::
diff --git a/docs/installation.rst b/docs/installation.rst
index d56cd9c9..b618ae6a 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -8,13 +8,13 @@ Installation
 Stable release
 --------------
 
-To install dmriprepoc, run this command in your terminal:
+To install dmripreproc, run this command in your terminal:
 
 .. code-block:: console
 
-    $ pip install dmriprepoc
+    $ pip install dmripreproc
 
-This is the preferred method to install dmriprepoc, as it will always install the most recent stable release.
+This is the preferred method to install dmripreproc, as it will always install the most recent stable release.
 
 If you don't have `pip`_ installed, this `Python installation guide`_ can guide
 you through the process.
@@ -26,19 +26,19 @@ you through the process.
 From sources
 ------------
 
-The sources for dmriprepoc can be downloaded from the `Github repo`_.
+The sources for dmripreproc can be downloaded from the `Github repo`_.
 
 You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/nipy/dmriprepoc
+    $ git clone git://github.com/nipy/dmripreproc
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/nipy/dmriprepoc/tarball/master
+    $ curl  -OL https://github.com/nipy/dmripreproc/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -47,5 +47,5 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/nipy/dmriprepoc
-.. _tarball: https://github.com/nipy/dmriprepoc/tarball/master
+.. _Github repo: https://github.com/nipy/dmripreproc
+.. _tarball: https://github.com/nipy/dmripreproc/tarball/master
diff --git a/docs/make.bat b/docs/make.bat
index 265138ef..5d078c4d 100644
--- a/docs/make.bat
+++ b/docs/make.bat
@@ -9,7 +9,7 @@ if "%SPHINXBUILD%" == "" (
 )
 set SOURCEDIR=.
 set BUILDDIR=_build
-set SPHINXPROJ=dmriprepoc
+set SPHINXPROJ=dmripreproc
 
 if "%1" == "" goto help
 
diff --git a/docs/modules.rst b/docs/modules.rst
index 1e0222cc..6109e78d 100644
--- a/docs/modules.rst
+++ b/docs/modules.rst
@@ -1,7 +1,7 @@
-dmriprepoc
+dmripreproc
 ========
 
 .. toctree::
    :maxdepth: 4
 
-   dmriprepoc
+   dmripreproc
diff --git a/docs/usage.rst b/docs/usage.rst
index 56bc3cf4..80bb6949 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -2,6 +2,6 @@
 Usage
 =====
 
-To use dmriprepoc in a project::
+To use dmripreproc in a project::
 
-    import dmriprepoc
+    import dmripreproc
diff --git a/setup.cfg b/setup.cfg
index da6c0ceb..065bb7ef 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -7,7 +7,7 @@ tag = True
 search = version='{current_version}'
 replace = version='{new_version}'
 
-[bumpversion:file:dmriprepoc/__init__.py]
+[bumpversion:file:dmripreproc/__init__.py]
 search = __version__ = '{current_version}'
 replace = __version__ = '{new_version}'
 
diff --git a/setup.py b/setup.py
index 0a14d1b0..1d9ceecb 100644
--- a/setup.py
+++ b/setup.py
@@ -45,9 +45,9 @@
     description="Preprocessing of neuroimaging data in preparation for AFQ analysis",
     entry_points={
         "console_scripts": [
-            "dmriprepoc=dmripreproc.cli:main",
-            "dmriprepoc-data=dmriprepoc.cli:data",
-            "dmriprepoc-upload=dmriprepoc.cli:upload",
+            "dmripreproc=dmripreproc.cli:main",
+            "dmripreproc-data=dmripreproc.cli:data",
+            "dmripreproc-upload=dmripreproc.cli:upload",
         ]
     },
     install_requires=requirements,
@@ -55,13 +55,13 @@
     license="BSD license",
     long_description=readme + "\n\n" + history,
     include_package_data=True,
-    keywords="dmriprepoc",
-    name="dmriprepoc",
+    keywords="dmripreproc",
+    name="dmripreproc",
     packages=find_packages(include=["dmripreproc*"]),
     setup_requires=setup_requirements,
     test_suite="tests",
     tests_require=test_requirements,
-    url="https://github.com/nipy/dmriprepoc",
+    url="https://github.com/nipy/dmripreproc",
     version="0.1.0",
     zip_safe=False,
 )
diff --git a/tests/test_dmriprep.py b/tests/test_dmriprep.py
index 783ccb6f..eebb40d8 100644
--- a/tests/test_dmriprep.py
+++ b/tests/test_dmriprep.py
@@ -1,13 +1,13 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-"""Tests for `dmriprepoc` package."""
+"""Tests for `dmripreproc` package."""
 
 import pytest
 
 from click.testing import CliRunner
 
-from dmriprepoc import cli
+from dmripreproc import cli
 
 
 @pytest.fixture
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 1ab5c059..b3f1a662 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,11 +1,11 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-"""Tests for `dmriprepoc` package."""
+"""Tests for `dmripreproc` package."""
 
 import numpy as np
 
-from dmriprepoc.utils import is_hemispherical
+from dmripreproc.utils import is_hemispherical
 
 
 def uniform_points_on_sphere(npoints=1, hemisphere=True, rotate=(0, 0, 0)):
diff --git a/tox.ini b/tox.ini
index 589cce4e..16279fc7 100644
--- a/tox.ini
+++ b/tox.ini
@@ -10,7 +10,7 @@ python =
 [testenv:flake8]
 basepython = python
 deps = flake8
-commands = flake8 dmriprepoc
+commands = flake8 dmripreproc
 
 [testenv]
 setenv =

From efe05c0719129625bb93b43dede1e5ca673b1bad Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Sun, 21 Jul 2019 21:31:58 -0400
Subject: [PATCH 070/156] update repository url

---
 CONTRIBUTING.rst | 6 +++---
 README.rst       | 4 ++--
 requirements.txt | 5 ++---
 setup.py         | 3 +--
 4 files changed, 8 insertions(+), 10 deletions(-)

diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 0162eab2..849e7da1 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -32,7 +32,7 @@ You can contribute in many ways:
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/nipy/dmripreproc/issues.
+Report bugs at https://github.com/tigrlab/dmripreproc/issues.
 
 If you are reporting a bug, please include:
 
@@ -62,7 +62,7 @@ articles, and such.
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/nipy/dmripreproc/issues.
+The best way to send feedback is to file an issue at https://github.com/tigrlab/dmripreproc/issues.
 
 If you are proposing a feature:
 
@@ -120,7 +120,7 @@ Before you submit a pull request, check that it meets these guidelines:
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
 3. The pull request should work for Python 3.5, 3.6 and 3.7, and for PyPy. Check
-   https://travis-ci.org/nipy/dmripreproc/pull_requests
+   https://travis-ci.org/tigrlab/dmripreproc/pull_requests
    and make sure that the tests pass for all supported Python versions.
 
 When opening a pull request, please use one of the following prefixes:
diff --git a/README.rst b/README.rst
index 0426ffce..52af7567 100644
--- a/README.rst
+++ b/README.rst
@@ -32,7 +32,7 @@ You should have raw data organized in the BIDS format. Also, you should have run
 ## Quickstart
 
 ```bash
-git clone https://github.com/nipy/dmripreproc
+git clone https://github.com/tigrlab/dmripreproc
 cd dmripreproc
 python setup.py install
 
@@ -40,7 +40,7 @@ dmripreproc $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
 ```
 
 ```bash
-git clone https://github.com/nipy/dmripreproc
+git clone https://github.com/tigrlab/dmripreproc
 cd dmripreproc
 make docker
 
diff --git a/requirements.txt b/requirements.txt
index a2323d48..59b784e6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,10 +1,9 @@
 Click>=7.0
 dipy==0.16.0
 nipype==1.2.0
-pandas==0.24.2
+pandas==0.25.0
 parse==1.12.0
 tqdm==4.32.2
 pybids==0.9.2
 matplotlib==3.1.1
-numba==0.44.1
-Sphinx==2.1.2
+numba==0.45.0
diff --git a/setup.py b/setup.py
index e234e9d5..5c2f7c46 100644
--- a/setup.py
+++ b/setup.py
@@ -20,8 +20,7 @@
     "tqdm",
     "pybids>=0.9.1",
     "matplotlib",
-    "numba",
-    "sphinx",
+    "numba"
 ]
 
 extras_require = {"dev": ["flake8", "pytest", "pytest-cov", "pre-commit"]}

From ecdbae80e7d774f1139f55fc92f9ce8a9fd66a40 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Sun, 21 Jul 2019 21:32:33 -0400
Subject: [PATCH 071/156] update setup and requirements

---
 requirements.txt     | 1 +
 requirements_dev.txt | 1 +
 setup.py             | 4 ++--
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index 59b784e6..8a391489 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,4 @@
+bids-validator==1.2.2
 Click>=7.0
 dipy==0.16.0
 nipype==1.2.0
diff --git a/requirements_dev.txt b/requirements_dev.txt
index 5e2741ce..4ff69330 100644
--- a/requirements_dev.txt
+++ b/requirements_dev.txt
@@ -6,6 +6,7 @@ flake8==3.7.8
 tox==3.13.2
 coverage==4.5.3
 Sphinx==2.1.2
+sphinx-click==2.2.0
 twine==1.13.0
 black==19.3b0
 versioneer==0.18
diff --git a/setup.py b/setup.py
index 5c2f7c46..afb66e57 100644
--- a/setup.py
+++ b/setup.py
@@ -20,7 +20,7 @@
     "tqdm",
     "pybids>=0.9.1",
     "matplotlib",
-    "numba"
+    "numba",
 ]
 
 extras_require = {"dev": ["flake8", "pytest", "pytest-cov", "pre-commit"]}
@@ -60,7 +60,7 @@
     setup_requires=setup_requirements,
     test_suite="tests",
     tests_require=test_requirements,
-    url="https://github.com/nipy/dmripreproc",
+    url="https://github.com/tigrlab/dmripreproc",
     version="0.1.0",
     zip_safe=False,
 )

From c416b2a3f27c3eb9bfadd4bb23c12fcb98040f71 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 06:51:03 -0400
Subject: [PATCH 072/156] update docs

---
 docs/dmripreproc.interfaces.rst         | 38 ++++++++++++++++++++
 docs/dmripreproc.rst                    | 47 +++++++++++++++++++++++++
 docs/dmripreproc.utils.rst              | 30 ++++++++++++++++
 docs/dmripreproc.workflows.dwi.rst      | 38 ++++++++++++++++++++
 docs/dmripreproc.workflows.fieldmap.rst | 46 ++++++++++++++++++++++++
 docs/dmripreproc.workflows.rst          | 30 ++++++++++++++++
 docs/installation.rst                   |  8 ++---
 docs/modules.rst                        |  2 +-
 8 files changed, 234 insertions(+), 5 deletions(-)
 create mode 100644 docs/dmripreproc.interfaces.rst
 create mode 100644 docs/dmripreproc.rst
 create mode 100644 docs/dmripreproc.utils.rst
 create mode 100644 docs/dmripreproc.workflows.dwi.rst
 create mode 100644 docs/dmripreproc.workflows.fieldmap.rst
 create mode 100644 docs/dmripreproc.workflows.rst

diff --git a/docs/dmripreproc.interfaces.rst b/docs/dmripreproc.interfaces.rst
new file mode 100644
index 00000000..8c3592bb
--- /dev/null
+++ b/docs/dmripreproc.interfaces.rst
@@ -0,0 +1,38 @@
+dmripreproc.interfaces package
+==============================
+
+Submodules
+----------
+
+dmripreproc.interfaces.fmap module
+----------------------------------
+
+.. automodule:: dmripreproc.interfaces.fmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.interfaces.fsl module
+---------------------------------
+
+.. automodule:: dmripreproc.interfaces.fsl
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.interfaces.mrtrix3 module
+-------------------------------------
+
+.. automodule:: dmripreproc.interfaces.mrtrix3
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmripreproc.interfaces
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmripreproc.rst b/docs/dmripreproc.rst
new file mode 100644
index 00000000..8aeb9d0f
--- /dev/null
+++ b/docs/dmripreproc.rst
@@ -0,0 +1,47 @@
+dmripreproc package
+===================
+
+Subpackages
+-----------
+
+.. toctree::
+
+   dmripreproc.interfaces
+   dmripreproc.utils
+   dmripreproc.workflows
+
+Submodules
+----------
+
+dmripreproc.cli module
+----------------------
+
+.. automodule:: dmripreproc.cli
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.qc module
+---------------------
+
+.. automodule:: dmripreproc.qc
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.utils module
+------------------------
+
+.. automodule:: dmripreproc.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmripreproc
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmripreproc.utils.rst b/docs/dmripreproc.utils.rst
new file mode 100644
index 00000000..b66c4b11
--- /dev/null
+++ b/docs/dmripreproc.utils.rst
@@ -0,0 +1,30 @@
+dmripreproc.utils package
+=========================
+
+Submodules
+----------
+
+dmripreproc.utils.bids module
+-----------------------------
+
+.. automodule:: dmripreproc.utils.bids
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.utils.image module
+------------------------------
+
+.. automodule:: dmripreproc.utils.image
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmripreproc.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmripreproc.workflows.dwi.rst b/docs/dmripreproc.workflows.dwi.rst
new file mode 100644
index 00000000..709ab2a5
--- /dev/null
+++ b/docs/dmripreproc.workflows.dwi.rst
@@ -0,0 +1,38 @@
+dmripreproc.workflows.dwi package
+=================================
+
+Submodules
+----------
+
+dmripreproc.workflows.dwi.base module
+-------------------------------------
+
+.. automodule:: dmripreproc.workflows.dwi.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.workflows.dwi.outputs module
+----------------------------------------
+
+.. automodule:: dmripreproc.workflows.dwi.outputs
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.workflows.dwi.tensor module
+---------------------------------------
+
+.. automodule:: dmripreproc.workflows.dwi.tensor
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmripreproc.workflows.dwi
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmripreproc.workflows.fieldmap.rst b/docs/dmripreproc.workflows.fieldmap.rst
new file mode 100644
index 00000000..bd497c3c
--- /dev/null
+++ b/docs/dmripreproc.workflows.fieldmap.rst
@@ -0,0 +1,46 @@
+dmripreproc.workflows.fieldmap package
+======================================
+
+Submodules
+----------
+
+dmripreproc.workflows.fieldmap.base module
+------------------------------------------
+
+.. automodule:: dmripreproc.workflows.fieldmap.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.workflows.fieldmap.fmap module
+------------------------------------------
+
+.. automodule:: dmripreproc.workflows.fieldmap.fmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.workflows.fieldmap.pepolar module
+---------------------------------------------
+
+.. automodule:: dmripreproc.workflows.fieldmap.pepolar
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmripreproc.workflows.fieldmap.phasediff module
+-----------------------------------------------
+
+.. automodule:: dmripreproc.workflows.fieldmap.phasediff
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmripreproc.workflows.fieldmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmripreproc.workflows.rst b/docs/dmripreproc.workflows.rst
new file mode 100644
index 00000000..0ae1c325
--- /dev/null
+++ b/docs/dmripreproc.workflows.rst
@@ -0,0 +1,30 @@
+dmripreproc.workflows package
+=============================
+
+Subpackages
+-----------
+
+.. toctree::
+
+   dmripreproc.workflows.dwi
+   dmripreproc.workflows.fieldmap
+
+Submodules
+----------
+
+dmripreproc.workflows.base module
+---------------------------------
+
+.. automodule:: dmripreproc.workflows.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmripreproc.workflows
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/installation.rst b/docs/installation.rst
index b618ae6a..b921afe0 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -32,13 +32,13 @@ You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/nipy/dmripreproc
+    $ git clone git://github.com/tigrlab/dmripreproc
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/nipy/dmripreproc/tarball/master
+    $ curl  -OL https://github.com/tigrlab/dmripreproc/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -47,5 +47,5 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/nipy/dmripreproc
-.. _tarball: https://github.com/nipy/dmripreproc/tarball/master
+.. _Github repo: https://github.com/tigrlab/dmripreproc
+.. _tarball: https://github.com/tigrlab/dmripreproc/tarball/master
diff --git a/docs/modules.rst b/docs/modules.rst
index 6109e78d..498372a8 100644
--- a/docs/modules.rst
+++ b/docs/modules.rst
@@ -1,5 +1,5 @@
 dmripreproc
-========
+===========
 
 .. toctree::
    :maxdepth: 4

From 6eccb37a08106f28746e1eb35022f04ecbc6c676 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 06:51:31 -0400
Subject: [PATCH 073/156] move bids related functions to utils folder and add
 bids validator

---
 dmripreproc/utils/__init__.py |   0
 dmripreproc/utils/bids.py     | 179 ++++++++++++++++++++++++++++++++++
 2 files changed, 179 insertions(+)
 create mode 100644 dmripreproc/utils/__init__.py
 create mode 100644 dmripreproc/utils/bids.py

diff --git a/dmripreproc/utils/__init__.py b/dmripreproc/utils/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/dmripreproc/utils/bids.py b/dmripreproc/utils/bids.py
new file mode 100644
index 00000000..0320b630
--- /dev/null
+++ b/dmripreproc/utils/bids.py
@@ -0,0 +1,179 @@
+import warnings
+import json
+import sys
+
+from bids.layout import BIDSLayout
+
+
+class BIDSError(ValueError):
+    def __init__(self, message, bids_root):
+        indent = 10
+        header = '{sep} BIDS root folder: "{bids_root}" {sep}'.format(
+            bids_root=bids_root, sep="".join(["-"] * indent)
+        )
+        self.msg = "\n{header}\n{indent}{message}\n{footer}".format(
+            header=header,
+            indent="".join([" "] * (indent + 1)),
+            message=message,
+            footer="".join(["-"] * len(header)),
+        )
+        super(BIDSError, self).__init__(self.msg)
+        self.bids_root = bids_root
+
+
+class BIDSWarning(RuntimeWarning):
+    pass
+
+
+def collect_participants(
+    bids_dir, participant_label=None, strict=False, bids_validate=True
+):
+    """
+    List the participants under the BIDS root and checks that participants
+    designated with the participant_label argument exist in that folder.
+    Returns the list of participants to be finally processed.
+    Requesting all subjects in a BIDS directory root:
+    >>> collect_participants(str(datadir / 'ds114'), bids_validate=False)
+    ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10']
+    Requesting two subjects, given their IDs:
+    >>> collect_participants(str(datadir / 'ds114'), participant_label=['02', '04'],
+    ...                      bids_validate=False)
+    ['02', '04']
+    Requesting two subjects, given their IDs (works with 'sub-' prefixes):
+    >>> collect_participants(str(datadir / 'ds114'), participant_label=['sub-02', 'sub-04'],
+    ...                      bids_validate=False)
+    ['02', '04']
+    Requesting two subjects, but one does not exist:
+    >>> collect_participants(str(datadir / 'ds114'), participant_label=['02', '14'],
+    ...                      bids_validate=False)
+    ['02']
+    >>> collect_participants(
+    ...     str(datadir / 'ds114'), participant_label=['02', '14'],
+    ...     strict=True, bids_validate=False)  # doctest: +IGNORE_EXCEPTION_DETAIL
+    Traceback (most recent call last):
+    fmriprep.utils.bids.BIDSError:
+    ...
+    """
+
+    if isinstance(bids_dir, BIDSLayout):
+        layout = bids_dir
+    else:
+        layout = BIDSLayout(str(bids_dir), validate=bids_validate)
+
+    all_participants = set(layout.get_subjects())
+
+    # Error: bids_dir does not contain subjects
+    if not all_participants:
+        raise BIDSError(
+            "Could not find participants. Please make sure the BIDS data "
+            "structure is present and correct. Datasets can be validated online "
+            "using the BIDS Validator (http://bids-standard.github.io/bids-validator/).\n"
+            "If you are using Docker for Mac or Docker for Windows, you "
+            'may need to adjust your "File sharing" preferences.',
+            bids_dir,
+        )
+
+    # No --participant-label was set, return all
+    if not participant_label:
+        return sorted(all_participants)
+
+    if isinstance(participant_label, str):
+        participant_label = [participant_label]
+
+    # Drop sub- prefixes
+    participant_label = [
+        sub[4:] if sub.startswith("sub-") else sub for sub in participant_label
+    ]
+    # Remove duplicates
+    participant_label = sorted(set(participant_label))
+
+    # Remove labels not found
+    found_label = sorted(set(participant_label) & all_participants)
+    if not found_label:
+        raise BIDSError(
+            "Could not find participants [{}]".format(
+                ", ".join(participant_label)
+            ),
+            bids_dir,
+        )
+
+    # Warn if some IDs were not found
+    notfound_label = sorted(set(participant_label) - all_participants)
+    if notfound_label:
+        exc = BIDSError(
+            "Some participants were not found: {}".format(
+                ", ".join(notfound_label)
+            ),
+            bids_dir,
+        )
+        if strict:
+            raise exc
+        warnings.warn(exc.msg, BIDSWarning)
+
+    return all_participants, found_label
+
+
+def validate_input_dir(bids_dir, all_subjects, subject_list):
+    # Ignore issues and warnings that should not influence FMRIPREP
+    import tempfile
+    import subprocess
+
+    validator_config_dict = {
+        "ignore": [
+            "EVENTS_COLUMN_ONSET",
+            "EVENTS_COLUMN_DURATION",
+            "TSV_EQUAL_ROWS",
+            "TSV_EMPTY_CELL",
+            "TSV_IMPROPER_NA",
+            "INCONSISTENT_SUBJECTS",
+            "INCONSISTENT_PARAMETERS",
+            "PARTICIPANT_ID_COLUMN",
+            "PARTICIPANT_ID_MISMATCH",
+            "TASK_NAME_MUST_DEFINE",
+            "PHENOTYPE_SUBJECTS_MISSING",
+            "STIMULUS_FILE_MISSING",
+            "BOLD_NOT_4D",
+            "EVENTS_TSV_MISSING",
+            "ACQTIME_FMT",
+            "Participants age 89 or higher",
+            "DATASET_DESCRIPTION_JSON_MISSING",
+            "TASK_NAME_CONTAIN_ILLEGAL_CHARACTER",
+            "FILENAME_COLUMN",
+            "WRONG_NEW_LINE",
+            "MISSING_TSV_COLUMN_CHANNELS",
+            "MISSING_TSV_COLUMN_IEEG_CHANNELS",
+            "MISSING_TSV_COLUMN_IEEG_ELECTRODES",
+            "UNUSED_STIMULUS",
+            "CHANNELS_COLUMN_SFREQ",
+            "CHANNELS_COLUMN_LOWCUT",
+            "CHANNELS_COLUMN_HIGHCUT",
+            "CHANNELS_COLUMN_NOTCH",
+            "CUSTOM_COLUMN_WITHOUT_DESCRIPTION",
+            "ACQTIME_FMT",
+            "SUSPICIOUSLY_LONG_EVENT_DESIGN",
+            "SUSPICIOUSLY_SHORT_EVENT_DESIGN",
+            "MISSING_TSV_COLUMN_EEG_ELECTRODES",
+            "MISSING_SESSION",
+        ],
+        "error": ["NO_T1W"],
+        "ignoredFiles": ["/dataset_description.json", "/participants.tsv"],
+    }
+    # Limit validation only to data from requested participants
+    ignored_subjects = all_subjects.difference(subject_list)
+    if ignored_subjects:
+        for subject in ignored_subjects:
+            validator_config_dict["ignoredFiles"].append(
+                "/sub-%s/**" % subject
+            )
+    with tempfile.NamedTemporaryFile("w+") as temp:
+        temp.write(json.dumps(validator_config_dict))
+        temp.flush()
+        try:
+            subprocess.check_call(
+                ["bids-validator", bids_dir, "-c", temp.name]
+            )
+        except FileNotFoundError:
+            print(
+                "bids-validator does not appear to be installed",
+                file=sys.stderr,
+            )

From 1b647ad52bca7714d1a5f4b1aaeb8303c341f4d8 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 06:52:47 -0400
Subject: [PATCH 074/156] move Parameters class to cli and add bids
 validatation and concating shells options

---
 dmripreproc/cli.py   |  80 ++++++++++++++++++++--------
 dmripreproc/utils.py | 123 ++-----------------------------------------
 2 files changed, 60 insertions(+), 143 deletions(-)

diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index 3d3eb41c..50b8a032 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -8,7 +8,7 @@
 
 import click
 
-from . import utils
+from .utils.bids import collect_participants
 from .workflows.base import init_dmripreproc_wf
 
 # Filter warnings that are visible whenever you import another package that
@@ -17,24 +17,56 @@
 warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
 
 
+class Parameters:
+    def __init__(self):
+        self.participant_label = ""
+        self.layout = None
+        self.subject_list = ""
+        self.bids_dir = ""
+        self.work_dir = ""
+        self.output_dir = ""
+        self.b0_thresh = 5
+        self.eddy_niter = 5
+        self.bet_dwi = 0.3
+        self.bet_mag = 0.3
+        self.total_readout = None
+        self.ignore_nodes = ""
+        self.analysis_level = "participant"
+
+
 @click.command()
+@click.argument("bids_dir")
+@click.argument("output_dir")
+@click.argument(
+    "analysis_level",
+    type=click.Choice(["participant", "group"]),
+    default="participant",
+)
+@click.option(
+    "--skip_bids_validation", help="Skip BIDS validation", default=False
+)
 @click.option(
-    "--participant-label",
+    "--participant_label",
     help="The label(s) of the participant(s) that should be "
     "analyzed. The label corresponds to "
-    "sub-<participant_label> from the BIDS spec (so it does "
-    "not include 'sub-'). If this parameter is not provided "
+    "sub-<participant_label> from the BIDS spec (the 'sub-' "
+    "prefix can be removed). If this parameter is not provided "
     "all subjects will be analyzed. Multiple participants "
-    "can be specified with a space separated list.",
+    "can be specified with a space delimited list.",
     default=None,
 )
-#@click.option(
+@click.option(
+    "--concat_shells",
+    help="A space delimited list of acq-<label>",
+    default=None,
+)
+# @click.option(
 #    "--ignore",
-#    help="Ignore selected parts of the workflow.",
+#    help="Specify which steps of the preprocessing pipeline to skip.",
 #    type=click.Choice(["denoise", "unring"]),
-#)
+# )
 @click.option(
-    "--resize-scale", help="Scale factor to resize DWI image", type=(float)
+    "--resize_scale", help="Scale factor to resize DWI image", type=(float)
 )
 @click.option(
     "--eddy-niter",
@@ -45,7 +77,7 @@
     type=(int),
 )
 @click.option(
-    "--bet-dwi",
+    "--bet_dwi",
     help="Fractional intensity threshold for BET on the DWI. "
     "A higher value will be more strict; it will cut off more "
     "around what it analyzes the brain to be. "
@@ -54,7 +86,7 @@
     default=0.3,
 )
 @click.option(
-    "--bet-mag",
+    "--bet_mag",
     help="Fractional intensity threshold for BET on the magnitude. "
     "A higher value will be more strict; it will cut off more "
     "around what it analyzes the brain to be. "
@@ -63,7 +95,7 @@
     default=0.3,
 )
 @click.option(
-    "--total-readout",
+    "--total_readout",
     help="Manual option for what value will be used in acquired params step. "
     "If this parameter is not provided the value will be taken from the "
     "TotalReadoutTime field in the dwi json. ",
@@ -81,24 +113,21 @@
     default=None,
     type=(str),
 )
-@click.argument("bids_dir")
-@click.argument("output_dir")
-@click.argument(
-    "analysis_level",
-    type=click.Choice(["participant", "group"]),
-    default="participant",
-)
+@click.option("--work_dir", help="working directory", default=None)
 def main(
     participant_label,
     bids_dir,
     output_dir,
-    resize_scale,
+    skip_bids_validation,
+    analysis_level="participant",
+    b0_thresh=5,
+    concat_shells=True,
+    resize_scale=2,
     eddy_niter=5,
     bet_dwi=0.3,
     bet_mag=0.3,
     total_readout=None,
     ignore_nodes="",
-    analysis_level="participant",
 ):
     """
     BIDS_DIR: The directory with the input dataset formatted according to
@@ -120,14 +149,19 @@ def main(
         )
 
     layout = BIDSLayout(bids_dir, validate=False)
-    subject_list = utils.collect_participants(
+    all_subjects, subject_list = collect_participants(
         layout, participant_label=participant_label
     )
 
+    if not skip_bids_validation:
+        from .utils.bids import validate_input_dir
+
+        validate_input_dir(bids_dir, all_subjects, subject_list)
+
     work_dir = os.path.join(output_dir, "scratch")
 
     # Set parameters based on CLI, pass through object
-    parameters = utils.Parameters()
+    parameters = Parameters()
     parameters.participant_label = participant_label
     parameters.layout = layout
     parameters.subject_list = subject_list
diff --git a/dmripreproc/utils.py b/dmripreproc/utils.py
index fe55506f..1cc71c98 100644
--- a/dmripreproc/utils.py
+++ b/dmripreproc/utils.py
@@ -3,12 +3,10 @@
 
 """
 
-import warnings
 import itertools
 import logging
 
 import numpy as np
-from bids.layout import BIDSLayout
 
 mod_logger = logging.getLogger(__name__)
 
@@ -61,126 +59,11 @@ def is_hemispherical(vecs):
     is_hemi = len(vecs) in np.sum(dot_prod_test.astype(int), axis=1)
 
     if is_hemi:
-        vertices = cross_prods[np.sum(dot_prod_test.astype(int), axis=1) == len(vecs)]
+        vertices = cross_prods[
+            np.sum(dot_prod_test.astype(int), axis=1) == len(vecs)
+        ]
         pole = np.mean(vertices, axis=0)
         pole /= np.linalg.norm(pole)
     else:
         pole = np.array([0.0, 0.0, 0.0])
     return is_hemi, pole
-
-
-class BIDSError(ValueError):
-    def __init__(self, message, bids_root):
-        indent = 10
-        header = '{sep} BIDS root folder: "{bids_root}" {sep}'.format(
-            bids_root=bids_root, sep="".join(["-"] * indent)
-        )
-        self.msg = "\n{header}\n{indent}{message}\n{footer}".format(
-            header=header,
-            indent="".join([" "] * (indent + 1)),
-            message=message,
-            footer="".join(["-"] * len(header)),
-        )
-        super(BIDSError, self).__init__(self.msg)
-        self.bids_root = bids_root
-
-
-class BIDSWarning(RuntimeWarning):
-    pass
-
-class Parameters:
-    def __init__(self):
-        self.participant_label = ''
-        self.layout = None
-        self.subject_list = ''
-        self.bids_dir = ''
-        self.work_dir = ''
-        self.output_dir = ''
-        self.eddy_niter = 5
-        self.bet_dwi = 0.3
-        self.bet_mag = 0.3
-        self.total_readout = None
-        self.ignore_nodes = ''
-        self.analysis_level = 'participant'
-
-def collect_participants(
-    bids_dir, participant_label=None, strict=False, bids_validate=True
-):
-    """
-    List the participants under the BIDS root and checks that participants
-    designated with the participant_label argument exist in that folder.
-    Returns the list of participants to be finally processed.
-    Requesting all subjects in a BIDS directory root:
-    >>> collect_participants(str(datadir / 'ds114'), bids_validate=False)
-    ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10']
-    Requesting two subjects, given their IDs:
-    >>> collect_participants(str(datadir / 'ds114'), participant_label=['02', '04'],
-    ...                      bids_validate=False)
-    ['02', '04']
-    Requesting two subjects, given their IDs (works with 'sub-' prefixes):
-    >>> collect_participants(str(datadir / 'ds114'), participant_label=['sub-02', 'sub-04'],
-    ...                      bids_validate=False)
-    ['02', '04']
-    Requesting two subjects, but one does not exist:
-    >>> collect_participants(str(datadir / 'ds114'), participant_label=['02', '14'],
-    ...                      bids_validate=False)
-    ['02']
-    >>> collect_participants(
-    ...     str(datadir / 'ds114'), participant_label=['02', '14'],
-    ...     strict=True, bids_validate=False)  # doctest: +IGNORE_EXCEPTION_DETAIL
-    Traceback (most recent call last):
-    fmriprep.utils.bids.BIDSError:
-    ...
-    """
-
-    if isinstance(bids_dir, BIDSLayout):
-        layout = bids_dir
-    else:
-        layout = BIDSLayout(str(bids_dir), validate=bids_validate)
-
-    all_participants = set(layout.get_subjects())
-
-    # Error: bids_dir does not contain subjects
-    if not all_participants:
-        raise BIDSError(
-            "Could not find participants. Please make sure the BIDS data "
-            "structure is present and correct. Datasets can be validated online "
-            "using the BIDS Validator (http://bids-standard.github.io/bids-validator/).\n"
-            "If you are using Docker for Mac or Docker for Windows, you "
-            'may need to adjust your "File sharing" preferences.',
-            bids_dir,
-        )
-
-    # No --participant-label was set, return all
-    if not participant_label:
-        return sorted(all_participants)
-
-    if isinstance(participant_label, str):
-        participant_label = [participant_label]
-
-    # Drop sub- prefixes
-    participant_label = [
-        sub[4:] if sub.startswith("sub-") else sub for sub in participant_label
-    ]
-    # Remove duplicates
-    participant_label = sorted(set(participant_label))
-    # Remove labels not found
-    found_label = sorted(set(participant_label) & all_participants)
-    if not found_label:
-        raise BIDSError(
-            "Could not find participants [{}]".format(", ".join(participant_label)),
-            bids_dir,
-        )
-
-    # Warn if some IDs were not found
-    notfound_label = sorted(set(participant_label) - all_participants)
-    if notfound_label:
-        exc = BIDSError(
-            "Some participants were not found: {}".format(", ".join(notfound_label)),
-            bids_dir,
-        )
-        if strict:
-            raise exc
-        warnings.warn(exc.msg, BIDSWarning)
-
-    return found_label

From b4548739edffc5199ba20efdbeb71fcd6a05ecca Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 06:53:04 -0400
Subject: [PATCH 075/156] remove unused imports and automated style changes

---
 dmripreproc/interfaces/fsl.py | 476 +++++++++++++++++++---------------
 1 file changed, 273 insertions(+), 203 deletions(-)

diff --git a/dmripreproc/interfaces/fsl.py b/dmripreproc/interfaces/fsl.py
index 96962133..b21265d5 100644
--- a/dmripreproc/interfaces/fsl.py
+++ b/dmripreproc/interfaces/fsl.py
@@ -10,190 +10,228 @@
 from builtins import str
 
 import os
-import numpy as np
-import nibabel as nb
-import warnings
 
-from nipype.interfaces.base import traits, TraitedSpec, InputMultiPath, File, isdefined
-from nipype.interfaces.fsl.base import FSLCommand, FSLCommandInputSpec, Info
+from nipype.interfaces.base import traits, TraitedSpec, File, isdefined
+from nipype.interfaces.fsl.base import FSLCommand, FSLCommandInputSpec
+
 
 class EddyInputSpec(FSLCommandInputSpec):
     in_file = File(
         exists=True,
         mandatory=True,
-        argstr='--imain=%s',
-        desc=('File containing all the images to estimate '
-              'distortions for'))
+        argstr="--imain=%s",
+        desc=("File containing all the images to estimate " "distortions for"),
+    )
     in_mask = File(
         exists=True,
         mandatory=True,
-        argstr='--mask=%s',
-        desc='Mask to indicate brain')
+        argstr="--mask=%s",
+        desc="Mask to indicate brain",
+    )
     in_index = File(
         exists=True,
         mandatory=True,
-        argstr='--index=%s',
-        desc=('File containing indices for all volumes in --imain '
-              'into --acqp and --topup'))
+        argstr="--index=%s",
+        desc=(
+            "File containing indices for all volumes in --imain "
+            "into --acqp and --topup"
+        ),
+    )
     in_acqp = File(
         exists=True,
         mandatory=True,
-        argstr='--acqp=%s',
-        desc='File containing acquisition parameters')
+        argstr="--acqp=%s",
+        desc="File containing acquisition parameters",
+    )
     in_bvec = File(
         exists=True,
         mandatory=True,
-        argstr='--bvecs=%s',
-        desc=('File containing the b-vectors for all volumes in '
-              '--imain'))
+        argstr="--bvecs=%s",
+        desc=("File containing the b-vectors for all volumes in " "--imain"),
+    )
     in_bval = File(
         exists=True,
         mandatory=True,
-        argstr='--bvals=%s',
-        desc=('File containing the b-values for all volumes in '
-              '--imain'))
+        argstr="--bvals=%s",
+        desc=("File containing the b-values for all volumes in " "--imain"),
+    )
     out_base = traits.Str(
-        'eddy_corrected',
-        argstr='--out=%s',
+        "eddy_corrected",
+        argstr="--out=%s",
         usedefault=True,
-        desc=('basename for output (warped) image'))
+        desc=("basename for output (warped) image"),
+    )
     session = File(
         exists=True,
-        argstr='--session=%s',
-        desc=('File containing session indices for all volumes in '
-              '--imain'))
+        argstr="--session=%s",
+        desc=("File containing session indices for all volumes in " "--imain"),
+    )
     in_topup_fieldcoef = File(
-        #exists=True,
+        # exists=True,
         argstr="--topup=%s",
-        requires=['in_topup_movpar'],
-        desc=('topup file containing the field '
-              'coefficients'))
+        requires=["in_topup_movpar"],
+        desc=("topup file containing the field " "coefficients"),
+    )
     in_topup_movpar = File(
         exists=True,
-        requires=['in_topup_fieldcoef'],
-        desc='topup movpar.txt file')
+        requires=["in_topup_fieldcoef"],
+        desc="topup movpar.txt file",
+    )
 
     flm = traits.Enum(
-        'linear',
-        'quadratic',
-        'cubic',
-        argstr='--flm=%s',
-        desc='First level EC model')
+        "linear",
+        "quadratic",
+        "cubic",
+        argstr="--flm=%s",
+        desc="First level EC model",
+    )
 
     slm = traits.Enum(
-        'none',
-        'linear',
-        'quadratic',
-        argstr='--slm=%s',
-        desc='Second level EC model')
+        "none",
+        "linear",
+        "quadratic",
+        argstr="--slm=%s",
+        desc="Second level EC model",
+    )
 
     fep = traits.Bool(
-        False, argstr='--fep', desc='Fill empty planes in x- or y-directions')
+        False, argstr="--fep", desc="Fill empty planes in x- or y-directions"
+    )
 
     interp = traits.Enum(
-        'spline',
-        'trilinear',
-        argstr='--interp=%s',
-        desc='Interpolation model for estimation step')
+        "spline",
+        "trilinear",
+        argstr="--interp=%s",
+        desc="Interpolation model for estimation step",
+    )
 
     nvoxhp = traits.Int(
-        1000, usedefault=True,
-        argstr='--nvoxhp=%s',
-        desc=('# of voxels used to estimate the '
-              'hyperparameters'))
+        1000,
+        usedefault=True,
+        argstr="--nvoxhp=%s",
+        desc=("# of voxels used to estimate the " "hyperparameters"),
+    )
 
     fudge_factor = traits.Float(
-        10.0, usedefault=True,
-        argstr='--ff=%s',
-        desc=('Fudge factor for hyperparameter '
-              'error variance'))
+        10.0,
+        usedefault=True,
+        argstr="--ff=%s",
+        desc=("Fudge factor for hyperparameter " "error variance"),
+    )
 
     dont_sep_offs_move = traits.Bool(
         False,
-        argstr='--dont_sep_offs_move',
-        desc=('Do NOT attempt to separate '
-              'field offset from subject '
-              'movement'))
+        argstr="--dont_sep_offs_move",
+        desc=(
+            "Do NOT attempt to separate "
+            "field offset from subject "
+            "movement"
+        ),
+    )
 
     dont_peas = traits.Bool(
         False,
-        argstr='--dont_peas',
-        desc="Do NOT perform a post-eddy alignment of "
-        "shells")
+        argstr="--dont_peas",
+        desc="Do NOT perform a post-eddy alignment of " "shells",
+    )
 
     fwhm = traits.Float(
-        desc=('FWHM for conditioning filter when estimating '
-              'the parameters'),
-        argstr='--fwhm=%s')
+        desc=(
+            "FWHM for conditioning filter when estimating " "the parameters"
+        ),
+        argstr="--fwhm=%s",
+    )
 
-    niter = traits.Int(5, usedefault=True,
-                       argstr='--niter=%s', desc='Number of iterations')
+    niter = traits.Int(
+        5, usedefault=True, argstr="--niter=%s", desc="Number of iterations"
+    )
 
     method = traits.Enum(
-        'jac',
-        'lsr',
-        argstr='--resamp=%s',
-        desc=('Final resampling method (jacobian/least '
-              'squares)'))
+        "jac",
+        "lsr",
+        argstr="--resamp=%s",
+        desc=("Final resampling method (jacobian/least " "squares)"),
+    )
     repol = traits.Bool(
-        False, argstr='--repol', desc='Detect and replace outlier slices')
+        False, argstr="--repol", desc="Detect and replace outlier slices"
+    )
     num_threads = traits.Int(
-        1,
-        usedefault=True,
-        nohash=True,
-        desc="Number of openmp threads to use")
+        1, usedefault=True, nohash=True, desc="Number of openmp threads to use"
+    )
     is_shelled = traits.Bool(
         False,
-        argstr='--data_is_shelled',
+        argstr="--data_is_shelled",
         desc="Override internal check to ensure that "
         "date are acquired on a set of b-value "
-        "shells")
+        "shells",
+    )
     field = traits.Str(
-        argstr='--field=%s',
+        argstr="--field=%s",
         desc="NonTOPUP fieldmap scaled in Hz - filename has "
         "to be provided without an extension. TOPUP is "
-        "strongly recommended")
+        "strongly recommended",
+    )
     field_mat = File(
         exists=True,
-        argstr='--field_mat=%s',
+        argstr="--field_mat=%s",
         desc="Matrix that specifies the relative locations of "
         "the field specified by --field and first volume "
-        "in file --imain")
+        "in file --imain",
+    )
     use_cuda = traits.Bool(False, desc="Run eddy using cuda gpu")
     cnr_maps = traits.Bool(
-        False, desc='Output CNR-Maps', argstr='--cnr_maps', min_ver='5.0.10')
+        False, desc="Output CNR-Maps", argstr="--cnr_maps", min_ver="5.0.10"
+    )
     residuals = traits.Bool(
-        False, desc='Output Residuals', argstr='--residuals', min_ver='5.0.10')
+        False, desc="Output Residuals", argstr="--residuals", min_ver="5.0.10"
+    )
 
 
 class EddyOutputSpec(TraitedSpec):
     out_corrected = File(
-        exists=True, desc='4D image file containing all the corrected volumes')
+        exists=True, desc="4D image file containing all the corrected volumes"
+    )
     out_parameter = File(
         exists=True,
-        desc=('text file with parameters definining the field and'
-              'movement for each scan'))
+        desc=(
+            "text file with parameters definining the field and"
+            "movement for each scan"
+        ),
+    )
     out_rotated_bvecs = File(
-        exists=True, desc='File containing rotated b-values for all volumes')
+        exists=True, desc="File containing rotated b-values for all volumes"
+    )
     out_movement_rms = File(
-        exists=True, desc='Summary of the "total movement" in each volume')
+        exists=True, desc='Summary of the "total movement" in each volume'
+    )
     out_restricted_movement_rms = File(
         exists=True,
-        desc=('Summary of the "total movement" in each volume '
-              'disregarding translation in the PE direction'))
+        desc=(
+            'Summary of the "total movement" in each volume '
+            "disregarding translation in the PE direction"
+        ),
+    )
     out_shell_alignment_parameters = File(
         exists=True,
-        desc=('File containing rigid body movement parameters '
-              'between the different shells as estimated by a '
-              'post-hoc mutual information based registration'))
+        desc=(
+            "File containing rigid body movement parameters "
+            "between the different shells as estimated by a "
+            "post-hoc mutual information based registration"
+        ),
+    )
     out_outlier_report = File(
         exists=True,
-        desc=('Text-file with a plain language report on what '
-              'outlier slices eddy has found'))
+        desc=(
+            "Text-file with a plain language report on what "
+            "outlier slices eddy has found"
+        ),
+    )
     out_cnr_maps = File(
-        exists=True, desc='path/name of file with the cnr_maps')
+        exists=True, desc="path/name of file with the cnr_maps"
+    )
     out_residuals = File(
-        exists=True, desc='path/name of file with the residuals')
+        exists=True, desc="path/name of file with the residuals"
+    )
 
 
 class Eddy(FSLCommand):
@@ -225,7 +263,8 @@ class Eddy(FSLCommand):
 --mask=epi_mask.nii --niter=5 --nvoxhp=1000 --out=.../eddy_corrected'
     >>> res = eddy.run() # doctest: +SKIP
     """
-    _cmd = 'eddy_openmp'
+
+    _cmd = "eddy_openmp"
     input_spec = EddyInputSpec
     output_spec = EddyOutputSpec
 
@@ -233,34 +272,40 @@ class Eddy(FSLCommand):
 
     def __init__(self, **inputs):
         super(Eddy, self).__init__(**inputs)
-        self.inputs.on_trait_change(self._num_threads_update, 'num_threads')
+        self.inputs.on_trait_change(self._num_threads_update, "num_threads")
         if not isdefined(self.inputs.num_threads):
             self.inputs.num_threads = self._num_threads
         else:
             self._num_threads_update()
-        self.inputs.on_trait_change(self._use_cuda, 'use_cuda')
+        self.inputs.on_trait_change(self._use_cuda, "use_cuda")
         if isdefined(self.inputs.use_cuda):
             self._use_cuda()
 
     def _num_threads_update(self):
         self._num_threads = self.inputs.num_threads
         if not isdefined(self.inputs.num_threads):
-            if 'OMP_NUM_THREADS' in self.inputs.environ:
-                del self.inputs.environ['OMP_NUM_THREADS']
+            if "OMP_NUM_THREADS" in self.inputs.environ:
+                del self.inputs.environ["OMP_NUM_THREADS"]
         else:
-            self.inputs.environ['OMP_NUM_THREADS'] = str(
-                self.inputs.num_threads)
+            self.inputs.environ["OMP_NUM_THREADS"] = str(
+                self.inputs.num_threads
+            )
 
     def _use_cuda(self):
-        self._cmd = 'eddy_cuda' if self.inputs.use_cuda else 'eddy_openmp'
+        self._cmd = "eddy_cuda" if self.inputs.use_cuda else "eddy_openmp"
 
     def _run_interface(self, runtime):
         # If 'eddy_openmp' is missing, use 'eddy'
-        FSLDIR = os.getenv('FSLDIR', '')
+        FSLDIR = os.getenv("FSLDIR", "")
         cmd = self._cmd
-        if all((FSLDIR != '', cmd == 'eddy_openmp',
-                not os.path.exists(os.path.join(FSLDIR, 'bin', cmd)))):
-            self._cmd = 'eddy'
+        if all(
+            (
+                FSLDIR != "",
+                cmd == "eddy_openmp",
+                not os.path.exists(os.path.join(FSLDIR, "bin", cmd)),
+            )
+        ):
+            self._cmd = "eddy"
         runtime = super(Eddy, self)._run_interface(runtime)
 
         # Restore command to avoid side-effects
@@ -268,164 +313,185 @@ def _run_interface(self, runtime):
         return runtime
 
     def _format_arg(self, name, spec, value):
-        if name == 'in_topup_fieldcoef':
-            return spec.argstr % value.split('_fieldcoef')[0]
-        if name == 'out_base':
+        if name == "in_topup_fieldcoef":
+            return spec.argstr % value.split("_fieldcoef")[0]
+        if name == "out_base":
             return spec.argstr % os.path.abspath(value)
         return super(Eddy, self)._format_arg(name, spec, value)
 
     def _list_outputs(self):
         outputs = self.output_spec().get()
-        outputs['out_corrected'] = os.path.abspath(
-            '%s.nii.gz' % self.inputs.out_base)
-        outputs['out_parameter'] = os.path.abspath(
-            '%s.eddy_parameters' % self.inputs.out_base)
+        outputs["out_corrected"] = os.path.abspath(
+            "%s.nii.gz" % self.inputs.out_base
+        )
+        outputs["out_parameter"] = os.path.abspath(
+            "%s.eddy_parameters" % self.inputs.out_base
+        )
 
         # File generation might depend on the version of EDDY
         out_rotated_bvecs = os.path.abspath(
-            '%s.eddy_rotated_bvecs' % self.inputs.out_base)
+            "%s.eddy_rotated_bvecs" % self.inputs.out_base
+        )
         out_movement_rms = os.path.abspath(
-            '%s.eddy_movement_rms' % self.inputs.out_base)
+            "%s.eddy_movement_rms" % self.inputs.out_base
+        )
         out_restricted_movement_rms = os.path.abspath(
-            '%s.eddy_restricted_movement_rms' % self.inputs.out_base)
+            "%s.eddy_restricted_movement_rms" % self.inputs.out_base
+        )
         out_shell_alignment_parameters = os.path.abspath(
-            '%s.eddy_post_eddy_shell_alignment_parameters' %
-            self.inputs.out_base)
+            "%s.eddy_post_eddy_shell_alignment_parameters"
+            % self.inputs.out_base
+        )
         out_outlier_report = os.path.abspath(
-            '%s.eddy_outlier_report' % self.inputs.out_base)
+            "%s.eddy_outlier_report" % self.inputs.out_base
+        )
         if isdefined(self.inputs.cnr_maps) and self.inputs.cnr_maps:
             out_cnr_maps = os.path.abspath(
-                '%s.eddy_cnr_maps.nii.gz' % self.inputs.out_base)
+                "%s.eddy_cnr_maps.nii.gz" % self.inputs.out_base
+            )
             if os.path.exists(out_cnr_maps):
-                outputs['out_cnr_maps'] = out_cnr_maps
+                outputs["out_cnr_maps"] = out_cnr_maps
         if isdefined(self.inputs.residuals) and self.inputs.residuals:
             out_residuals = os.path.abspath(
-                '%s.eddy_residuals.nii.gz' % self.inputs.out_base)
+                "%s.eddy_residuals.nii.gz" % self.inputs.out_base
+            )
             if os.path.exists(out_residuals):
-                outputs['out_residuals'] = out_residuals
+                outputs["out_residuals"] = out_residuals
 
         if os.path.exists(out_rotated_bvecs):
-            outputs['out_rotated_bvecs'] = out_rotated_bvecs
+            outputs["out_rotated_bvecs"] = out_rotated_bvecs
         if os.path.exists(out_movement_rms):
-            outputs['out_movement_rms'] = out_movement_rms
+            outputs["out_movement_rms"] = out_movement_rms
         if os.path.exists(out_restricted_movement_rms):
-            outputs['out_restricted_movement_rms'] = \
-                out_restricted_movement_rms
+            outputs[
+                "out_restricted_movement_rms"
+            ] = out_restricted_movement_rms
         if os.path.exists(out_shell_alignment_parameters):
-            outputs['out_shell_alignment_parameters'] = \
-                out_shell_alignment_parameters
+            outputs[
+                "out_shell_alignment_parameters"
+            ] = out_shell_alignment_parameters
         if os.path.exists(out_outlier_report):
-            outputs['out_outlier_report'] = out_outlier_report
+            outputs["out_outlier_report"] = out_outlier_report
 
         return outputs
 
+
 class EddyQuadInputSpec(FSLCommandInputSpec):
     base_name = traits.Str(
-        'eddy_corrected',
+        "eddy_corrected",
         usedefault=True,
-        argstr='%s',
-        desc=("Basename (including path) for EDDY output files, i.e., "
-              "corrected images and QC files"),
+        argstr="%s",
+        desc=(
+            "Basename (including path) for EDDY output files, i.e., "
+            "corrected images and QC files"
+        ),
         position=0,
     )
     idx_file = File(
         exists=True,
         mandatory=True,
         argstr="--eddyIdx %s",
-        desc=("File containing indices for all volumes into acquisition "
-              "parameters")
+        desc=(
+            "File containing indices for all volumes into acquisition "
+            "parameters"
+        ),
     )
     param_file = File(
         exists=True,
         mandatory=True,
         argstr="--eddyParams %s",
-        desc="File containing acquisition parameters"
+        desc="File containing acquisition parameters",
     )
     mask_file = File(
         exists=True,
         mandatory=True,
         argstr="--mask %s",
-        desc="Binary mask file"
+        desc="Binary mask file",
     )
     bval_file = File(
-        exists=True,
-        mandatory=True,
-        argstr="--bvals %s",
-        desc="b-values file"
+        exists=True, mandatory=True, argstr="--bvals %s", desc="b-values file"
     )
     bvec_file = File(
         exists=True,
         argstr="--bvecs %s",
-        desc=("b-vectors file - only used when <base_name>.eddy_residuals "
-              "file is present")
+        desc=(
+            "b-vectors file - only used when <base_name>.eddy_residuals "
+            "file is present"
+        ),
     )
     output_dir = traits.Str(
-        name_template='%s.qc',
-        name_source=['base_name'],
-        argstr='--output-dir %s',
+        name_template="%s.qc",
+        name_source=["base_name"],
+        argstr="--output-dir %s",
         desc="Output directory - default = '<base_name>.qc'",
     )
     field = File(
-        exists=True,
-        argstr='--field %s',
-        desc="TOPUP estimated field (in Hz)",
+        exists=True, argstr="--field %s", desc="TOPUP estimated field (in Hz)"
     )
     slice_spec = File(
         exists=True,
-        argstr='--slspec %s',
+        argstr="--slspec %s",
         desc="Text file specifying slice/group acquisition",
     )
-    verbose = traits.Bool(
-        argstr='--verbose',
-        desc="Display debug messages",
-    )
+    verbose = traits.Bool(argstr="--verbose", desc="Display debug messages")
 
 
 class EddyQuadOutputSpec(TraitedSpec):
     qc_json = File(
         exists=True,
-        desc=("Single subject database containing quality metrics and data "
-              "info.")
-    )
-    qc_pdf = File(
-        exists=True,
-        desc="Single subject QC report."
+        desc=(
+            "Single subject database containing quality metrics and data "
+            "info."
+        ),
     )
+    qc_pdf = File(exists=True, desc="Single subject QC report.")
     avg_b_png = traits.List(
         File(exists=True),
-        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
-              "each averaged b-shell volume.")
+        desc=(
+            "Image showing mid-sagittal, -coronal and -axial slices of "
+            "each averaged b-shell volume."
+        ),
     )
     avg_b0_pe_png = traits.List(
         File(exists=True),
-        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
-              "each averaged pe-direction b0 volume. Generated when using "
-              "the -f option.")
+        desc=(
+            "Image showing mid-sagittal, -coronal and -axial slices of "
+            "each averaged pe-direction b0 volume. Generated when using "
+            "the -f option."
+        ),
     )
     cnr_png = traits.List(
         File(exists=True),
-        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
-              "each b-shell CNR volume. Generated when CNR maps are "
-              "available.")
+        desc=(
+            "Image showing mid-sagittal, -coronal and -axial slices of "
+            "each b-shell CNR volume. Generated when CNR maps are "
+            "available."
+        ),
     )
     vdm_png = File(
         exists=True,
-        desc=("Image showing mid-sagittal, -coronal and -axial slices of "
-              "the voxel displacement map. Generated when using the -f "
-              "option.")
+        desc=(
+            "Image showing mid-sagittal, -coronal and -axial slices of "
+            "the voxel displacement map. Generated when using the -f "
+            "option."
+        ),
     )
     residuals = File(
         exists=True,
-        desc=("Text file containing the volume-wise mask-averaged squared "
-              "residuals. Generated when residual maps are available.")
+        desc=(
+            "Text file containing the volume-wise mask-averaged squared "
+            "residuals. Generated when residual maps are available."
+        ),
     )
     clean_volumes = File(
         exists=True,
-        desc=("Text file containing a list of clean volumes, based on "
-              "the eddy squared residuals. To generate a version of the "
-              "pre-processed dataset without outlier volumes, use: "
-              "`fslselectvols -i <eddy_corrected_data> -o "
-              "eddy_corrected_data_clean --vols=vols_no_outliers.txt`")
+        desc=(
+            "Text file containing a list of clean volumes, based on "
+            "the eddy squared residuals. To generate a version of the "
+            "pre-processed dataset without outlier volumes, use: "
+            "`fslselectvols -i <eddy_corrected_data> -o "
+            "eddy_corrected_data_clean --vols=vols_no_outliers.txt`"
+        ),
     )
 
 
@@ -454,52 +520,56 @@ class EddyQuad(FSLCommand):
 --verbose'
     >>> res = quad.run() # doctest: +SKIP
     """
-    _cmd = 'eddy_quad'
+
+    _cmd = "eddy_quad"
     input_spec = EddyQuadInputSpec
     output_spec = EddyQuadOutputSpec
 
     def _list_outputs(self):
         from glob import glob
+
         outputs = self.output_spec().get()
 
         # If the output directory isn't defined, the interface seems to use
         # the default but not set its value in `self.inputs.output_dir`
         if not isdefined(self.inputs.output_dir):
-            out_dir = os.path.abspath(os.path.basename(self.inputs.base_name) + '.qc')
+            out_dir = os.path.abspath(
+                os.path.basename(self.inputs.base_name) + ".qc"
+            )
         else:
             out_dir = os.path.abspath(self.inputs.output_dir)
 
-        outputs['qc_json'] = os.path.join(out_dir, 'qc.json')
-        outputs['qc_pdf'] = os.path.join(out_dir, 'qc.pdf')
+        outputs["qc_json"] = os.path.join(out_dir, "qc.json")
+        outputs["qc_pdf"] = os.path.join(out_dir, "qc.pdf")
 
         # Grab all b* files here. This will also grab the b0_pe* files
         # as well, but only if the field input was provided. So we'll remove
         # them later in the next conditional.
-        outputs['avg_b_png'] = sorted(glob(
-            os.path.join(out_dir, 'avg_b*.png')
-        ))
+        outputs["avg_b_png"] = sorted(
+            glob(os.path.join(out_dir, "avg_b*.png"))
+        )
 
         if isdefined(self.inputs.field):
-            outputs['avg_b0_pe_png'] = sorted(glob(
-                os.path.join(out_dir, 'avg_b0_pe*.png')
-            ))
+            outputs["avg_b0_pe_png"] = sorted(
+                glob(os.path.join(out_dir, "avg_b0_pe*.png"))
+            )
 
             # The previous glob for `avg_b_png` also grabbed the
             # `avg_b0_pe_png` files so we have to remove them
             # from `avg_b_png`.
-            for fname in outputs['avg_b0_pe_png']:
-                outputs['avg_b_png'].remove(fname)
+            for fname in outputs["avg_b0_pe_png"]:
+                outputs["avg_b_png"].remove(fname)
 
-            outputs['vdm_png'] = os.path.join(out_dir, 'vdm.png')
+            outputs["vdm_png"] = os.path.join(out_dir, "vdm.png")
 
-        outputs['cnr_png'] = sorted(glob(os.path.join(out_dir, 'cnr*.png')))
+        outputs["cnr_png"] = sorted(glob(os.path.join(out_dir, "cnr*.png")))
 
-        residuals = os.path.join(out_dir, 'eddy_msr.txt')
+        residuals = os.path.join(out_dir, "eddy_msr.txt")
         if os.path.isfile(residuals):
-            outputs['residuals'] = residuals
+            outputs["residuals"] = residuals
 
-        clean_volumes = os.path.join(out_dir, 'vols_no_outliers.txt')
+        clean_volumes = os.path.join(out_dir, "vols_no_outliers.txt")
         if os.path.isfile(clean_volumes):
-            outputs['clean_volumes'] = clean_volumes
+            outputs["clean_volumes"] = clean_volumes
 
         return outputs

From b5fc4496cf67f132ef6c923d17375ffe3dca19bb Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Mon, 22 Jul 2019 10:33:04 -0400
Subject: [PATCH 076/156] Added dwiprep file

---
 dmripreproc/workflows/dwi/dwiprep.py | 82 ++++++++++++++++++++++++++++
 1 file changed, 82 insertions(+)
 create mode 100644 dmripreproc/workflows/dwi/dwiprep.py

diff --git a/dmripreproc/workflows/dwi/dwiprep.py b/dmripreproc/workflows/dwi/dwiprep.py
new file mode 100644
index 00000000..8334cbed
--- /dev/null
+++ b/dmripreproc/workflows/dwi/dwiprep.py
@@ -0,0 +1,82 @@
+#!/usr/bin/env python
+
+def init_dwiprep_wf(ignore_nodes):
+    from ...interfaces import mrtrix3
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import fsl, utility as niu
+
+    # Generate the prep workflow for dwi (denoise, unring, resize)
+
+    dwi_prep_wf = pe.Workflow(name="dwi_prep_wf")
+
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="resize")
+
+    dwi_prep_inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=["dwi_file"]
+        ),
+        name="dwi_prep_inputnode",
+    )
+
+    dwi_prep_outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]),
+        name="dwi_prep_outputnode",
+    )
+
+    # Turn the string input of nodes into a list
+    ignore_nodes_list = [option.lower() for option in ignore_nodes.strip()]
+
+    prep_full = ['d', 'u', 'r']
+    prep_wanted_str = [node for node in prep_full if not(node in ignore_nodes_list)]
+
+    # Translate string input to node names
+    str2node = {
+        'd': denoise,
+        'u': unring,
+        'r': resize
+    }
+
+    # Convert the string list to a node list
+    prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
+
+    # If no steps selected, just connect input to output
+    if not(prep_wanted):
+        dwi_prep_wf.connect(
+            [
+                (dwi_prep_inputnode, dwi_prep_outputnode, [("dwi_file", "out_file")])
+            ]
+        )
+
+    # If there are steps
+    else:
+        # Must at least connect input node to first node
+        first_node = prep_wanted[0]
+        dwi_prep_wf.connect(
+            [
+                (dwi_prep_inputnode, first_node, [("dwi_file", "in_file")]),
+            ]
+        )
+        # Loop through the prep order
+        # Note: only works if each node has in_file and out_file
+        # Can work around this by wrapping in node/workflow with in_file+out_file
+        prev = first_node
+        for curr_node in prep_wanted[1:]:
+            dwi_prep_wf.connect(
+                [
+                    (prev, curr_node, [("out_file", "in_file")]),
+                ]
+            )
+            prev = curr_node
+        # Connect last node to output node
+        last_node = prep_wanted[-1]
+        dwi_prep_wf.connect(
+            [
+                (last_node, dwi_prep_outputnode, [("out_file", "out_file")]),
+            ]
+        )
+
+    return dwi_prep_wf

From d1fa940094d39aa9870d2ff3ec1ed7e46f1e0fe2 Mon Sep 17 00:00:00 2001
From: Salim Mansour <Salim.Mansour@camh.ca>
Date: Mon, 22 Jul 2019 12:05:04 -0400
Subject: [PATCH 077/156] Added synb0 topup functionality

---
 dmripreproc/cli.py                        |  21 +++
 dmripreproc/utils.py                      |   2 +
 dmripreproc/workflows/base.py             |   9 +-
 dmripreproc/workflows/dwi/base.py         |  71 ++++---
 dmripreproc/workflows/fieldmap/base.py    | 215 ++++++++++++----------
 dmripreproc/workflows/fieldmap/pepolar.py |  76 +++++++-
 6 files changed, 267 insertions(+), 127 deletions(-)

diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index 3d3eb41c..68fc8118 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -81,6 +81,21 @@
     default=None,
     type=(str),
 )
+@click.option(
+    "--synb0_dir",
+    help="If you want to use Synb0-DISCO for preprocessing.",
+    #is_flag=True
+    default=None,
+    type=(str),
+)
+@click.option(
+    "--acqp_file",
+    help="If you want to pass in an acqp file for topup/eddy instead of"
+    "generating it from the json by default.",
+    #is_flag=True
+    default=None,
+    type=(str),
+)
 @click.argument("bids_dir")
 @click.argument("output_dir")
 @click.argument(
@@ -99,6 +114,8 @@ def main(
     total_readout=None,
     ignore_nodes="",
     analysis_level="participant",
+    synb0_dir=None,
+    acqp_file=None,
 ):
     """
     BIDS_DIR: The directory with the input dataset formatted according to
@@ -113,6 +130,7 @@ def main(
     participant level analyses can be run independently
     (in parallel).
     """
+
     if analysis_level is not "participant":
         raise NotImplementedError(
             "The only valid analysis level for dmripreproc "
@@ -120,6 +138,7 @@ def main(
         )
 
     layout = BIDSLayout(bids_dir, validate=False)
+    print(layout)
     subject_list = utils.collect_participants(
         layout, participant_label=participant_label
     )
@@ -140,6 +159,8 @@ def main(
     parameters.total_readout = total_readout
     parameters.ignore_nodes = ignore_nodes
     parameters.analysis_level = analysis_level
+    parameters.synb0_dir = synb0_dir
+    parameters.acqp_file = acqp_file
 
     wf = init_dmripreproc_wf(parameters)
     wf.write_graph(graph2use="colored")
diff --git a/dmripreproc/utils.py b/dmripreproc/utils.py
index fe55506f..27284062 100644
--- a/dmripreproc/utils.py
+++ b/dmripreproc/utils.py
@@ -102,6 +102,8 @@ def __init__(self):
         self.total_readout = None
         self.ignore_nodes = ''
         self.analysis_level = 'participant'
+        self.synb0_dir = ''
+        self.acqp_file = ''
 
 def collect_participants(
     bids_dir, participant_label=None, strict=False, bids_validate=True
diff --git a/dmripreproc/workflows/base.py b/dmripreproc/workflows/base.py
index dc7f0677..5b27353a 100644
--- a/dmripreproc/workflows/base.py
+++ b/dmripreproc/workflows/base.py
@@ -4,8 +4,8 @@
 from copy import deepcopy
 
 from nipype.pipeline import engine as pe
-from .dwi import init_dwi_preproc_wf, init_output_wf
-
+from .dwi.base import init_dwi_preproc_wf
+from .dwi.outputs import init_output_wf
 
 def init_dmripreproc_wf(parameters):
     dmripreproc_wf = pe.Workflow(name="dmripreproc_wf")
@@ -51,7 +51,10 @@ def init_single_subject_wf(subject_id, name, parameters):
 
     for dwi_file in dwi_files:
         entities = parameters.layout.parse_file_entities(dwi_file)
-        session_id = entities["session"]
+        if "session" in entities:
+            session_id = entities["session"]
+        else:
+            session_id = "01"
         metadata = parameters.layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
             subject_id=subject_id,
diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
index 9c775d41..ee1411c2 100755
--- a/dmripreproc/workflows/dwi/base.py
+++ b/dmripreproc/workflows/dwi/base.py
@@ -11,6 +11,7 @@
 from nipype.utils.filemanip import fname_presuffix
 from dipy.segment.mask import median_otsu
 from numba import cuda
+from bids import BIDSLayout
 
 from ...interfaces import mrtrix3
 from ...interfaces import fsl as dmri_fsl
@@ -21,20 +22,27 @@
 
 def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
 
+
     fmaps = []
-    fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
+    synb0 = ""
 
-    if not fmaps:
-        raise Exception(
-            "No fieldmaps found for participant {}. "
-            "All workflows require fieldmaps".format(subject_id)
-        )
+    # If use_synb0 set, get synb0 from files
+    if parameters.synb0_dir:
+        synb0_layout =  BIDSLayout(parameters.synb0_dir, validate=False, derivatives=True)
+        synb0 = synb0_layout.get(subject=subject_id, return_type='file')[0]
+    else:
+        fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
+        if not fmaps:
+            raise Exception(
+                "No fieldmaps found for participant {}. "
+                "All workflows require fieldmaps".format(subject_id)
+            )
 
-    for fmap in fmaps:
-        fmap["metadata"] = parameters.layout.get_metadata(fmap[fmap["suffix"]])
+        for fmap in fmaps:
+            fmap["metadata"] = parameters.layout.get_metadata(fmap[fmap["suffix"]])
 
     sdc_wf = init_sdc_prep_wf(
-        subject_id, fmaps, metadata, parameters.layout, parameters.bet_mag
+        subject_id, fmaps, metadata, parameters.layout, parameters.bet_mag, synb0
     )
 
     dwi_wf = pe.Workflow(name="dwi_preproc_wf")
@@ -240,11 +248,8 @@ def get_b0_mask_fn(b0_file):
         name="getB0Mask",
     )
 
-    # Decide what ecc will take: topup or fmap
-    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
-    fmap = fmaps[0]
-    # If epi files detected
-    if fmap["suffix"] == "epi" or True:
+    # If synb0 is meant to be used
+    if parameters.synb0_dir:
         dwi_wf.connect(
             [
                 (
@@ -252,22 +257,42 @@ def get_b0_mask_fn(b0_file):
                     ecc,
                     [
                         ("outputnode.out_topup", "in_topup_fieldcoef"),
-                        ("outputnode.out_enc_file", "in_acqp"),
                         ("outputnode.out_movpar", "in_topup_movpar"),
                     ],
                 ),
                 (sdc_wf, eddy_quad, [("outputnode.out_enc_file", "param_file")])
             ]
         )
-    # Otherwise (fieldmaps)
+        ecc.inputs.in_acqp = parameters.acqp_file
     else:
-        dwi_wf.connect(
-            [
-                (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
-                (acqp, ecc, [("out_file", "in_acqp")]),
-                (acqp, eddy_quad, [("out_file", "param_file")])
-            ]
-        )
+        # Decide what ecc will take: topup or fmap
+        fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+        fmap = fmaps[0]
+        # Else If epi files detected
+        if fmap["suffix"] == "epi":
+            dwi_wf.connect(
+                [
+                    (
+                        sdc_wf,
+                        ecc,
+                        [
+                            ("outputnode.out_topup", "in_topup_fieldcoef"),
+                            ("outputnode.out_enc_file", "in_acqp"),
+                            ("outputnode.out_movpar", "in_topup_movpar"),
+                        ],
+                    ),
+                    (sdc_wf, eddy_quad, [("outputnode.out_enc_file", "param_file")])
+                ]
+            )
+        # Otherwise (fieldmaps)
+        else:
+            dwi_wf.connect(
+                [
+                    (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
+                    (acqp, ecc, [("out_file", "in_acqp")]),
+                    (acqp, eddy_quad, [("out_file", "param_file")])
+                ]
+            )
 
     dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name="dtifit")
 
diff --git a/dmripreproc/workflows/fieldmap/base.py b/dmripreproc/workflows/fieldmap/base.py
index c656e723..189c2bf0 100644
--- a/dmripreproc/workflows/fieldmap/base.py
+++ b/dmripreproc/workflows/fieldmap/base.py
@@ -12,6 +12,7 @@ def init_sdc_prep_wf(
     metadata,
     layout,
     bet_mag_frac,
+    synb0,
     omp_nthreads=1,
     fmap_bspline=False,
 ):
@@ -39,30 +40,20 @@ def init_sdc_prep_wf(
         ),
         name="outputnode",
     )
+    if (synb0):
+        from .pepolar import init_synb0_wf
 
-    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
-    fmap = fmaps[0]
-
-    if fmap["suffix"] == "epi":
-        from .pepolar import init_pepolar_wf
-
-        epi_fmaps = [
-            (fmap_["epi"], fmap_["metadata"]["PhaseEncodingDirection"])
-            for fmap_ in fmaps
-            if fmap_["suffix"] == "epi"
-        ]
-
-        pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
+        synb0_wf = init_synb0_wf(subject_id, metadata, synb0)
 
         sdc_prep_wf.connect(
             [
                 (
                     inputnode,
-                    pepolar_wf,
+                    synb0_wf,
                     [("b0_stripped", "inputnode.b0_stripped")],
                 ),
                 (
-                    pepolar_wf,
+                    synb0_wf,
                     outputnode,
                     [
                         ("outputnode.out_topup", "out_topup"),
@@ -73,110 +64,144 @@ def init_sdc_prep_wf(
                 )
             ]
         )
+    else:
+        fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+        fmap = fmaps[0]
 
-    if fmap["suffix"] == "fieldmap":
-        from .fmap import init_fmap_wf
+        if fmap["suffix"] == "epi":
+            from .pepolar import init_pepolar_wf
 
-        fmap_wf = init_fmap_wf()
-        fmap_wf.inputs.inputnode.fieldmap = fmap["fieldmap"]
-        fmap_wf.inputs.inputnode.magnitude = fmap["magnitude"]
-
-        sdc_prep_wf.connect(
-            [
-                (
-                    inputnode,
-                    fmap_wf,
-                    [("b0_stripped", "inputnode.b0_stripped")],
-                ),
-                (fmap_wf, outputnode, [("outputnode.out_fmap", "out_fmap")]),
+            epi_fmaps = [
+                (fmap_["epi"], fmap_["metadata"]["PhaseEncodingDirection"])
+                for fmap_ in fmaps
+                if fmap_["suffix"] == "epi"
             ]
-        )
-
-    if fmap["suffix"] in ("phasediff", "phase"):
-        from .phasediff import init_phase_wf, init_phdiff_wf
-        from .fmap import init_fmap_wf
 
-        if fmap["suffix"] == "phasediff":
-            phase_wf = init_phdiff_wf(bet_mag_frac)
-            phase_wf.inputs.inputnode.phasediff = fmap["phasediff"]
-
-            phase_wf.inputs.inputnode.magnitude1 = [
-                fmap_
-                for key, fmap_ in sorted(fmap.items())
-                if key.startswith("magnitude1")
-            ][0]
-
-            phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(
-                phase_wf.inputs.inputnode.phasediff
-            )
-            post_phase_wf = init_fmap_wf()
+            pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
 
             sdc_prep_wf.connect(
                 [
                     (
                         inputnode,
-                        post_phase_wf,
+                        pepolar_wf,
                         [("b0_stripped", "inputnode.b0_stripped")],
                     ),
                     (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_fmap", "inputnode.fieldmap")],
-                    ),
-                    (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_mag", "inputnode.magnitude")],
-                    ),
-                    (
-                        post_phase_wf,
+                        pepolar_wf,
                         outputnode,
-                        [("outputnode.out_fmap", "out_fmap")],
-                    ),
+                        [
+                            ("outputnode.out_topup", "out_topup"),
+                            ("outputnode.out_movpar", "out_movpar"),
+                            ("outputnode.out_enc_file", "out_enc_file"),
+                            ("outputnode.out_fmap", "out_fmap")
+                        ],
+                    )
                 ]
             )
 
-        elif fmap["suffix"] == "phase":
-            phase_wf = init_phase_wf(bet_mag_frac)
-            phase_wf.inputs.inputnode.phasediff = [
-                fmap["phase1"],
-                fmap["phase2"],
-            ]
+        if fmap["suffix"] == "fieldmap":
+            from .fmap import init_fmap_wf
 
-            phase_wf.inputs.inputnode.magnitude1 = [
-                fmap_
-                for key, fmap_ in sorted(fmap.items())
-                if key.startswith("magnitude1")
-            ][0]
-
-            phase_wf.inputs.inputnode.phases_meta = [
-                layout.get_metadata(i)
-                for i in phase_wf.inputs.inputnode.phasediff
-            ]
-            post_phase_wf = init_fmap_wf()
+            fmap_wf = init_fmap_wf()
+            fmap_wf.inputs.inputnode.fieldmap = fmap["fieldmap"]
+            fmap_wf.inputs.inputnode.magnitude = fmap["magnitude"]
 
             sdc_prep_wf.connect(
                 [
                     (
                         inputnode,
-                        post_phase_wf,
+                        fmap_wf,
                         [("b0_stripped", "inputnode.b0_stripped")],
                     ),
-                    (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_fmap", "inputnode.fieldmap")],
-                    ),
-                    (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_mag", "inputnode.magnitude")],
-                    ),
-                    (
-                        post_phase_wf,
-                        outputnode,
-                        [("outputnode.out_fmap", "out_fmap")],
-                    ),
+                    (fmap_wf, outputnode, [("outputnode.out_fmap", "out_fmap")]),
                 ]
             )
+
+        if fmap["suffix"] in ("phasediff", "phase"):
+            from .phasediff import init_phase_wf, init_phdiff_wf
+            from .fmap import init_fmap_wf
+
+            if fmap["suffix"] == "phasediff":
+                phase_wf = init_phdiff_wf(bet_mag_frac)
+                phase_wf.inputs.inputnode.phasediff = fmap["phasediff"]
+
+                phase_wf.inputs.inputnode.magnitude1 = [
+                    fmap_
+                    for key, fmap_ in sorted(fmap.items())
+                    if key.startswith("magnitude1")
+                ][0]
+
+                phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(
+                    phase_wf.inputs.inputnode.phasediff
+                )
+                post_phase_wf = init_fmap_wf()
+
+                sdc_prep_wf.connect(
+                    [
+                        (
+                            inputnode,
+                            post_phase_wf,
+                            [("b0_stripped", "inputnode.b0_stripped")],
+                        ),
+                        (
+                            phase_wf,
+                            post_phase_wf,
+                            [("outputnode.out_fmap", "inputnode.fieldmap")],
+                        ),
+                        (
+                            phase_wf,
+                            post_phase_wf,
+                            [("outputnode.out_mag", "inputnode.magnitude")],
+                        ),
+                        (
+                            post_phase_wf,
+                            outputnode,
+                            [("outputnode.out_fmap", "out_fmap")],
+                        ),
+                    ]
+                )
+
+            elif fmap["suffix"] == "phase":
+                phase_wf = init_phase_wf(bet_mag_frac)
+                phase_wf.inputs.inputnode.phasediff = [
+                    fmap["phase1"],
+                    fmap["phase2"],
+                ]
+
+                phase_wf.inputs.inputnode.magnitude1 = [
+                    fmap_
+                    for key, fmap_ in sorted(fmap.items())
+                    if key.startswith("magnitude1")
+                ][0]
+
+                phase_wf.inputs.inputnode.phases_meta = [
+                    layout.get_metadata(i)
+                    for i in phase_wf.inputs.inputnode.phasediff
+                ]
+                post_phase_wf = init_fmap_wf()
+
+                sdc_prep_wf.connect(
+                    [
+                        (
+                            inputnode,
+                            post_phase_wf,
+                            [("b0_stripped", "inputnode.b0_stripped")],
+                        ),
+                        (
+                            phase_wf,
+                            post_phase_wf,
+                            [("outputnode.out_fmap", "inputnode.fieldmap")],
+                        ),
+                        (
+                            phase_wf,
+                            post_phase_wf,
+                            [("outputnode.out_mag", "inputnode.magnitude")],
+                        ),
+                        (
+                            post_phase_wf,
+                            outputnode,
+                            [("outputnode.out_fmap", "out_fmap")],
+                        ),
+                    ]
+                )
     return sdc_prep_wf
diff --git a/dmripreproc/workflows/fieldmap/pepolar.py b/dmripreproc/workflows/fieldmap/pepolar.py
index 413299c5..a3ae9b22 100644
--- a/dmripreproc/workflows/fieldmap/pepolar.py
+++ b/dmripreproc/workflows/fieldmap/pepolar.py
@@ -73,16 +73,58 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
     return wf
 
+def init_synb0_wf(subject_id, dwi_meta, synb0):
+    dwi_file_pe = dwi_meta["PhaseEncodingDirection"]
+
+    file2dir = dict()
+
+    usable_fieldmaps_matching_pe = []
+    usable_fieldmaps_opposite_pe = []
+
+    wf = pe.Workflow(name="synb0_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name = "inputnode")
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]), name = "outputnode")
+
+    topup_wf = init_topup_wf(use_acqp=True)
+    topup_wf.inputs.inputnode.altepi_file = synb0
+    wf.add_nodes([inputnode])
+    wf.connect(
+        [
+            (inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])
+        ]
+    )
+    topup_wf.inputs.inputnode.acqp = '/scratch/smansour/synb0_acqp.txt'
+
+    wf.connect(
+        [
+            (
+                topup_wf,
+                outputnode,
+                [
+                    ("outputnode.out_fmap", "out_fmap"),
+                    ("outputnode.out_movpar", "out_movpar"),
+                    ("outputnode.out_base", "out_topup"),
+                ]
+            ),
+        ]
+    )
+
+    return wf
 
-def init_topup_wf():
+def init_topup_wf(use_acqp=False):
+    from ...interfaces import mrtrix3
 
     wf = pe.Workflow(name="topup_wf")
 
     inputnode = pe.Node(
-        niu.IdentityInterface(fields=["epi_file", "altepi_file", "encoding_directions", "topup_name"]),
+        niu.IdentityInterface(fields=["epi_file", "altepi_file", "encoding_directions", "topup_name", "acqp"]),
         name="inputnode")
     inputnode.inputs.topup_name = "topup_base"
 
+    epi_flirt = pe.Node(fsl.FLIRT(), name="epi_flirt")
+
     outputnode = pe.Node(
         niu.IdentityInterface(fields=["out_fmap", "out_movpar", "out_base", "out_enc_file"]),
         name="outputnode")
@@ -91,21 +133,43 @@ def init_topup_wf():
 
     merge = pe.Node(fsl.Merge(dimension="t"), name="mergeAPPA")
 
+    # Resize (make optional)
+    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="epi_resize")
+
     topup = pe.Node(fsl.TOPUP(), name="topup")
-    topup.inputs.readout_times = [0.05, 0.05]
 
     get_base_movpar = lambda x: x.split("_movpar.txt")[0]
 
+    if use_acqp:
+        wf.connect(
+            [
+                (inputnode, topup, [("acqp", "encoding_file")])
+            ]
+        )
+    else:
+        topup.inputs.readout_times = [0.05, 0.05]
+        wf.connect(
+            [
+                (inputnode, topup, [("encoding_directions", "encoding_direction")])
+            ]
+        )
+
     wf.connect(
         [
             (
                 inputnode,
                 list_merge,
-                [("epi_file", "in1"), ("altepi_file", "in2")]
+                [("epi_file", "in1")]
+            ),
+            (
+                inputnode,
+                epi_flirt,
+                [("altepi_file", "in_file"), ("epi_file", "reference")]
             ),
+            (epi_flirt, list_merge, [("out_file", "in2")]),
             (list_merge, merge, [("out", "in_files")]),
-            (inputnode, topup, [("encoding_directions", "encoding_direction")]),
-            (merge, topup, [("merged_file", "in_file")]),
+            (merge, resize, [("merged_file", "in_file")]),
+            (resize, topup, [("out_file", "in_file")]),
             (
                 topup,
                 outputnode,

From a56f89c4508d3a8c0f112575601949b584d90f97 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 12:14:08 -0400
Subject: [PATCH 078/156] add bids validator to Dockerfile

---
 Dockerfile | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 490e5845..a44134b7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -17,6 +17,7 @@ RUN apt-get update && \
         unzip \
         gcc \
         git \
+        bzip2 \
         libstdc++6
 
 # Neurodocker Setup
@@ -132,6 +133,13 @@ RUN apt-get update -qq \
     && sed -i '$iecho https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Licence' $ND_ENTRYPOINT \
     && sed -i '$isource $FSLDIR/etc/fslconf/fsl.sh' $ND_ENTRYPOINT
 
+RUN curl -sL https://deb.nodesource.com/setup_10.x | bash -
+RUN apt-get install -y nodejs
+RUN npm install -g svgo
+
+# Installing bids-validator
+RUN npm install -g bids-validator@1.2.5
+
 RUN echo '{ \
     \n  "pkg_manager": "apt", \
     \n  "instructions": [ \

From 94f00fcce0cfbc684b9fe2278425a152f23272af Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 13:18:24 -0400
Subject: [PATCH 079/156] add b0_thresh argument

---
 dmripreproc/workflows/dwi/base.py | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
index 9c775d41..0eaa7e12 100755
--- a/dmripreproc/workflows/dwi/base.py
+++ b/dmripreproc/workflows/dwi/base.py
@@ -19,6 +19,7 @@
 
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
+
 def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
 
     fmaps = []
@@ -139,7 +140,7 @@ def gen_acqparams(in_file, metadata, total_readout_time):
 
     acqp.inputs.total_readout_time = parameters.total_readout
 
-    def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
+    def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         """
         A function that averages the *b0* volumes from a DWI dataset.
         As current dMRI data are being acquired with all b-values > 0.0,
@@ -176,12 +177,13 @@ def b0_average(in_dwi, in_bval, b0_thresh=10.0, out_file=None):
 
     avg_b0_0 = pe.Node(
         niu.Function(
-            input_names=["in_dwi", "in_bval"],
+            input_names=["in_dwi", "in_bval", "b0_thresh"],
             output_names=["out_file"],
             function=b0_average,
         ),
         name="b0_avg_pre",
     )
+    avg_b0_0.inputs.b0_thresh = parameters.b0_thresh
 
     # dilate mask
     bet_dwi0 = pe.Node(
@@ -244,7 +246,7 @@ def get_b0_mask_fn(b0_file):
     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
     fmap = fmaps[0]
     # If epi files detected
-    if fmap["suffix"] == "epi" or True:
+    if fmap["suffix"] == "epi":
         dwi_wf.connect(
             [
                 (
@@ -256,7 +258,11 @@ def get_b0_mask_fn(b0_file):
                         ("outputnode.out_movpar", "in_topup_movpar"),
                     ],
                 ),
-                (sdc_wf, eddy_quad, [("outputnode.out_enc_file", "param_file")])
+                (
+                    sdc_wf,
+                    eddy_quad,
+                    [("outputnode.out_enc_file", "param_file")],
+                ),
             ]
         )
     # Otherwise (fieldmaps)
@@ -265,7 +271,7 @@ def get_b0_mask_fn(b0_file):
             [
                 (sdc_wf, ecc, [(("outputnode.out_fmap", get_path), "field")]),
                 (acqp, ecc, [("out_file", "in_acqp")]),
-                (acqp, eddy_quad, [("out_file", "param_file")])
+                (acqp, eddy_quad, [("out_file", "param_file")]),
             ]
         )
 

From 2aedb87a585a345a9a7f867ce7d567cdfebcc45f Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 13:22:40 -0400
Subject: [PATCH 080/156] remove bids-validator from requirements - use npm
 install in Dockerfile

---
 requirements.txt | 1 -
 1 file changed, 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 8a391489..59b784e6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,3 @@
-bids-validator==1.2.2
 Click>=7.0
 dipy==0.16.0
 nipype==1.2.0

From bc19ca9bedb13c239e23d64bd5a052b0862468d3 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 13:23:40 -0400
Subject: [PATCH 081/156] update cli

---
 dmripreproc/cli.py | 124 +++++++++++++++++++++++++++------------------
 1 file changed, 75 insertions(+), 49 deletions(-)

diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index 50b8a032..9c487719 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -18,32 +18,52 @@
 
 
 class Parameters:
-    def __init__(self):
-        self.participant_label = ""
-        self.layout = None
-        self.subject_list = ""
-        self.bids_dir = ""
-        self.work_dir = ""
-        self.output_dir = ""
-        self.b0_thresh = 5
-        self.eddy_niter = 5
-        self.bet_dwi = 0.3
-        self.bet_mag = 0.3
-        self.total_readout = None
-        self.ignore_nodes = ""
-        self.analysis_level = "participant"
+    def __init__(
+        self,
+        layout,
+        subject_list,
+        bids_dir,
+        work_dir,
+        output_dir,
+        concat_shells,
+        b0_thresh,
+        resize_scale,
+        eddy_niter,
+        bet_dwi,
+        bet_mag,
+        total_readout,
+        ignore_nodes,
+        analysis_level,
+    ):
+        self.layout = layout
+        self.subject_list = subject_list
+        self.bids_dir = bids_dir
+        self.work_dir = work_dir
+        self.output_dir = output_dir
+        self.concat_shells = concat_shells
+        self.b0_thresh = b0_thresh
+        self.resize_scale = resize_scale
+        self.eddy_niter = eddy_niter
+        self.bet_dwi = bet_dwi
+        self.bet_mag = bet_mag
+        self.total_readout = total_readout
+        self.ignore_nodes = ignore_nodes
+        self.analysis_level = analysis_level
 
 
 @click.command()
-@click.argument("bids_dir")
-@click.argument("output_dir")
+@click.argument("bids_dir", type=click.Path())
+@click.argument("output_dir", type=click.Path())
 @click.argument(
     "analysis_level",
     type=click.Choice(["participant", "group"]),
     default="participant",
 )
 @click.option(
-    "--skip_bids_validation", help="Skip BIDS validation", default=False
+    "--skip_bids_validation",
+    help="Skip BIDS validation",
+    default=False,
+    type=(bool),
 )
 @click.option(
     "--participant_label",
@@ -60,16 +80,14 @@ def __init__(self):
     help="A space delimited list of acq-<label>",
     default=None,
 )
-# @click.option(
-#    "--ignore",
-#    help="Specify which steps of the preprocessing pipeline to skip.",
-#    type=click.Choice(["denoise", "unring"]),
-# )
+@click.option(
+    "--b0_thresh", help="Threshold for b0 value", default=5, type=(int)
+)
 @click.option(
     "--resize_scale", help="Scale factor to resize DWI image", type=(float)
 )
 @click.option(
-    "--eddy-niter",
+    "--eddy_niter",
     help="Fixed number of eddy iterations. See "
     "https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide"
     "#A--niter",
@@ -84,6 +102,7 @@ def __init__(self):
     "If this parameter is not provided a default of 0.3 will "
     "be used.",
     default=0.3,
+    type=(float),
 )
 @click.option(
     "--bet_mag",
@@ -93,6 +112,7 @@ def __init__(self):
     "If this parameter is not provided a default of 0.3 will "
     "be used.",
     default=0.3,
+    type=(float),
 )
 @click.option(
     "--total_readout",
@@ -110,24 +130,25 @@ def __init__(self):
     "   d: denoise \n"
     "   u: unring \n"
     "   r: resize (upsample)",
-    default=None,
+    default="r",
     type=(str),
 )
-@click.option("--work_dir", help="working directory", default=None)
+@click.option("--work_dir", help="working directory", type=click.Path())
 def main(
     participant_label,
     bids_dir,
     output_dir,
+    work_dir,
     skip_bids_validation,
-    analysis_level="participant",
-    b0_thresh=5,
-    concat_shells=True,
-    resize_scale=2,
-    eddy_niter=5,
-    bet_dwi=0.3,
-    bet_mag=0.3,
-    total_readout=None,
-    ignore_nodes="",
+    analysis_level,
+    b0_thresh,
+    concat_shells,
+    resize_scale,
+    eddy_niter,
+    bet_dwi,
+    bet_mag,
+    total_readout,
+    ignore_nodes,
 ):
     """
     BIDS_DIR: The directory with the input dataset formatted according to
@@ -142,7 +163,8 @@ def main(
     participant level analyses can be run independently
     (in parallel).
     """
-    if analysis_level is not "participant":
+
+    if analysis_level != "participant":
         raise NotImplementedError(
             "The only valid analysis level for dmripreproc "
             "is participant at the moment."
@@ -158,22 +180,26 @@ def main(
 
         validate_input_dir(bids_dir, all_subjects, subject_list)
 
-    work_dir = os.path.join(output_dir, "scratch")
+    if not work_dir:
+        work_dir = os.path.join(output_dir, "scratch")
 
     # Set parameters based on CLI, pass through object
-    parameters = Parameters()
-    parameters.participant_label = participant_label
-    parameters.layout = layout
-    parameters.subject_list = subject_list
-    parameters.bids_dir = bids_dir
-    parameters.work_dir = work_dir
-    parameters.output_dir = output_dir
-    parameters.eddy_niter = eddy_niter
-    parameters.bet_dwi = bet_dwi
-    parameters.bet_mag = bet_mag
-    parameters.total_readout = total_readout
-    parameters.ignore_nodes = ignore_nodes
-    parameters.analysis_level = analysis_level
+    parameters = Parameters(
+        layout=layout,
+        subject_list=subject_list,
+        bids_dir=bids_dir,
+        work_dir=work_dir,
+        output_dir=output_dir,
+        concat_shells=concat_shells,
+        b0_thresh=b0_thresh,
+        resize_scale=resize_scale,
+        eddy_niter=eddy_niter,
+        bet_dwi=bet_dwi,
+        bet_mag=bet_mag,
+        total_readout=total_readout,
+        ignore_nodes=ignore_nodes,
+        analysis_level=analysis_level,
+    )
 
     wf = init_dmripreproc_wf(parameters)
     wf.write_graph(graph2use="colored")

From a48b73f8417cefabc2c2f3dfe4aed845d4eab905 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 17:23:39 -0400
Subject: [PATCH 082/156] update setup.py

---
 setup.py | 55 +++++++++++++++++++++++++++++++------------------------
 1 file changed, 31 insertions(+), 24 deletions(-)

diff --git a/setup.py b/setup.py
index afb66e57..7ccc9782 100644
--- a/setup.py
+++ b/setup.py
@@ -30,37 +30,44 @@
 test_requirements = ["pytest"]
 
 setup(
-    author="Anisha Keshavan",
-    author_email="keshavan@berkeley.edu",
+    # project information
+    name="dmripreproc",
+    version="0.1.0",
+    author="Michael Joseph",
+    author_email="michael.joseph@camh.ca",
+    url="https://github.com/tigrlab/dmripreproc",
+    license="BSD license",
+    # description
+    description="Preprocessing of diffusion MRI data",
+    long_description=readme + "\n\n" + history,
+    # requirements
+    python_requires=">=3.5",
+    install_requires=requirements,
+    setup_requires=setup_requirements,
+    extras_require=extras_require,
+    # packaging
+    packages=find_packages(include=["dmripreproc*"]),
+    include_package_data=True,
+    zip_safe=False,
+    # tests
+    test_suite="tests",
+    tests_require=test_requirements,
+    # cli
+    entry_points={"console_scripts": ["dmripreproc=dmripreproc.cli:main"]},
+    # metadata
+    keywords="diffusion bids",
+    project_urls={
+        "Documentation": "https://dmripreproc.readthedocs.io/en/latest/",
+        "Tracker": "https://github.com/TIGRLab/dmripreproc/issues/",
+    },
     classifiers=[
         "Development Status :: 2 - Pre-Alpha",
         "Intended Audience :: Developers",
         "License :: OSI Approved :: BSD License",
         "Natural Language :: English",
         "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.5",
         "Programming Language :: Python :: 3.6",
         "Programming Language :: Python :: 3.7",
     ],
-    description="Preprocessing of neuroimaging data in preparation for AFQ analysis",
-    entry_points={
-        "console_scripts": [
-            "dmripreproc=dmripreproc.cli:main",
-            "dmripreproc-data=dmripreproc.cli:data",
-            "dmripreproc-upload=dmripreproc.cli:upload",
-        ]
-    },
-    install_requires=requirements,
-    extras_require=extras_require,
-    license="BSD license",
-    long_description=readme + "\n\n" + history,
-    include_package_data=True,
-    keywords="dmripreproc",
-    name="dmripreproc",
-    packages=find_packages(include=["dmripreproc*"]),
-    setup_requires=setup_requirements,
-    test_suite="tests",
-    tests_require=test_requirements,
-    url="https://github.com/tigrlab/dmripreproc",
-    version="0.1.0",
-    zip_safe=False,
 )

From a79b47d09db6a3a71ee807b02e426df7c257fce9 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 17:30:28 -0400
Subject: [PATCH 083/156] move `is_hemispherical` function to utils folder and
 update tests

---
 dmripreproc/{utils.py => utils/hemisphere.py} |  7 ----
 tests/test_dmriprep.py                        | 37 -------------------
 tests/test_utils.py                           |  2 +-
 3 files changed, 1 insertion(+), 45 deletions(-)
 rename dmripreproc/{utils.py => utils/hemisphere.py} (95%)
 delete mode 100644 tests/test_dmriprep.py

diff --git a/dmripreproc/utils.py b/dmripreproc/utils/hemisphere.py
similarity index 95%
rename from dmripreproc/utils.py
rename to dmripreproc/utils/hemisphere.py
index 1cc71c98..b5dcdc6d 100644
--- a/dmripreproc/utils.py
+++ b/dmripreproc/utils/hemisphere.py
@@ -1,15 +1,8 @@
-"""
-Utility functions for other submodules
-
-"""
-
 import itertools
 import logging
 
 import numpy as np
 
-mod_logger = logging.getLogger(__name__)
-
 
 def is_hemispherical(vecs):
     """Test whether all points on a unit sphere lie in the same hemisphere.
diff --git a/tests/test_dmriprep.py b/tests/test_dmriprep.py
deleted file mode 100644
index eebb40d8..00000000
--- a/tests/test_dmriprep.py
+++ /dev/null
@@ -1,37 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-"""Tests for `dmripreproc` package."""
-
-import pytest
-
-from click.testing import CliRunner
-
-from dmripreproc import cli
-
-
-@pytest.fixture
-def response():
-    """Sample pytest fixture.
-
-    See more at: http://doc.pytest.org/en/latest/fixture.html
-    """
-    # import requests
-    # return requests.get('https://github.com/audreyr/cookiecutter-pypackage')
-
-
-def test_content(response):
-    """Sample pytest test function with the pytest fixture as an argument."""
-    # from bs4 import BeautifulSoup
-    # assert 'GitHub' in BeautifulSoup(response.content).title.string
-
-
-def test_command_line_interface():
-    """Test the CLI."""
-    runner = CliRunner()
-    result = runner.invoke(cli.main)
-    assert result.exit_code == 0
-    assert 'cli.main' in result.output
-    help_result = runner.invoke(cli.main, ['--help'])
-    assert help_result.exit_code == 0
-    assert '--help  Show this message and exit.' in help_result.output
diff --git a/tests/test_utils.py b/tests/test_utils.py
index b3f1a662..1792a628 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -5,7 +5,7 @@
 
 import numpy as np
 
-from dmripreproc.utils import is_hemispherical
+from dmripreproc.utils.hemisphere import is_hemispherical
 
 
 def uniform_points_on_sphere(npoints=1, hemisphere=True, rotate=(0, 0, 0)):

From de6633609589c83519aea5978a96494ea77cd594 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 17:55:49 -0400
Subject: [PATCH 084/156] update travis config for python 3.7 install

---
 .travis.yml | 17 ++++++++++++-----
 1 file changed, 12 insertions(+), 5 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index bd44759d..8fe62773 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,10 +1,17 @@
 # Config file for automatic testing at travis-ci.org
 
 language: python
-python:
-  - 3.7
-  - 3.6
-  - 3.5
+matrix:
+  include:
+    - python: 3.5
+      dist: trusty
+      sudo: false
+    - python: 3.6
+      dist: trusty
+      sudo: false
+    - python: 3.7
+      dist: xenial
+      sudo: true
 
 # Command to install dependencies, e.g. pip install -r requirements.txt --use-mirrors
 install: pip install -U tox-travis
@@ -24,5 +31,5 @@ deploy:
     secure: PLEASE_REPLACE_ME
   on:
     tags: true
-    repo: tigrlab/dmripreprocroc
+    repo: tigrlab/dmripreproc
     python: 3.7

From 5088de0cb0a63e1e79469feb54ab9167079493e7 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 17:56:16 -0400
Subject: [PATCH 085/156] update docs

---
 dmripreproc/__init__.py              |  4 +--
 dmripreproc/interfaces/fmap.py       |  9 ------
 docs/conf.py                         |  6 ++--
 docs/dmriprep.interfaces.rst         | 30 ------------------
 docs/dmriprep.rst                    | 46 ----------------------------
 docs/dmriprep.workflows.dwi.rst      | 38 -----------------------
 docs/dmriprep.workflows.fieldmap.rst | 38 -----------------------
 docs/dmriprep.workflows.rst          | 30 ------------------
 docs/dmripreproc.rst                 |  8 -----
 docs/dmripreproc.utils.rst           |  6 ++--
 docs/dmripreproc.workflows.dwi.rst   |  8 +++++
 docs/index.rst                       |  2 +-
 12 files changed, 17 insertions(+), 208 deletions(-)
 delete mode 100644 docs/dmriprep.interfaces.rst
 delete mode 100644 docs/dmriprep.rst
 delete mode 100644 docs/dmriprep.workflows.dwi.rst
 delete mode 100644 docs/dmriprep.workflows.fieldmap.rst
 delete mode 100644 docs/dmriprep.workflows.rst

diff --git a/dmripreproc/__init__.py b/dmripreproc/__init__.py
index c1bef0e6..b6dbc11a 100644
--- a/dmripreproc/__init__.py
+++ b/dmripreproc/__init__.py
@@ -2,8 +2,8 @@
 
 """Top-level package for dmripreproc."""
 
-__author__ = """Anisha Keshavan"""
-__email__ = "anishakeshavan@gmail.com"
+__author__ = """Michael Joseph"""
+__email__ = "michael.joseph@camh.ca"
 __version__ = "0.1.0"
 
 import errno
diff --git a/dmripreproc/interfaces/fmap.py b/dmripreproc/interfaces/fmap.py
index 71c96cc2..85c0996b 100644
--- a/dmripreproc/interfaces/fmap.py
+++ b/dmripreproc/interfaces/fmap.py
@@ -4,15 +4,6 @@
 # vi: set ft=python sts=4 ts=4 sw=4 et:
 """
 Interfaces to deal with the various types of fieldmap sources
-
-    .. testsetup::
-
-        >>> tmpdir = getfixture('tmpdir')
-        >>> tmp = tmpdir.chdir() # changing to a temporary directory
-        >>> nb.Nifti1Image(np.zeros((90, 90, 60)), None, None).to_filename(
-        ...     tmpdir.join('epi.nii.gz').strpath)
-
-
 """
 
 import numpy as np
diff --git a/docs/conf.py b/docs/conf.py
index 263b8ac8..153d0a24 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -48,8 +48,8 @@
 
 # General information about the project.
 project = u'dmripreproc'
-copyright = u"2018, Anisha Keshavan"
-author = u"Anisha Keshavan"
+copyright = u"2019, Michael Joseph"
+author = u"Michael Joseph"
 
 # The version info for the project you're documenting, acts as replacement
 # for |version| and |release|, also used in various other places throughout
@@ -130,7 +130,7 @@
 latex_documents = [
     (master_doc, 'dmripreproc.tex',
      u'dmripreproc Documentation',
-     u'Anisha Keshavan', 'manual'),
+     u'Michael Joseph', 'manual'),
 ]
 
 
diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
deleted file mode 100644
index beb6f852..00000000
--- a/docs/dmriprep.interfaces.rst
+++ /dev/null
@@ -1,30 +0,0 @@
-dmripreproc.interfaces package
-===========================
-
-Submodules
-----------
-
-dmripreproc.interfaces.fmap module
--------------------------------
-
-.. automodule:: dmripreproc.interfaces.fmap
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.interfaces.mrtrix3 module
-----------------------------------
-
-.. automodule:: dmripreproc.interfaces.mrtrix3
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.interfaces
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
deleted file mode 100644
index 5f279a7d..00000000
--- a/docs/dmriprep.rst
+++ /dev/null
@@ -1,46 +0,0 @@
-dmripreproc package
-================
-
-Subpackages
------------
-
-.. toctree::
-
-   dmripreproc.interfaces
-   dmripreproc.workflows
-
-Submodules
-----------
-
-dmripreproc.cli module
--------------------
-
-.. automodule:: dmripreproc.cli
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.qc module
-------------------
-
-.. automodule:: dmripreproc.qc
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.utils module
----------------------
-
-.. automodule:: dmripreproc.utils
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
deleted file mode 100644
index 6758e8c9..00000000
--- a/docs/dmriprep.workflows.dwi.rst
+++ /dev/null
@@ -1,38 +0,0 @@
-dmripreproc.workflows.dwi package
-==============================
-
-Submodules
-----------
-
-dmripreproc.workflows.dwi.base module
-----------------------------------
-
-.. automodule:: dmripreproc.workflows.dwi.base
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.dwi.outputs module
--------------------------------------
-
-.. automodule:: dmripreproc.workflows.dwi.outputs
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.dwi.tensor module
-------------------------------------
-
-.. automodule:: dmripreproc.workflows.dwi.tensor
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.workflows.dwi
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
deleted file mode 100644
index c1139a3d..00000000
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ /dev/null
@@ -1,38 +0,0 @@
-dmripreproc.workflows.fieldmap package
-===================================
-
-Submodules
-----------
-
-dmripreproc.workflows.fieldmap.base module
----------------------------------------
-
-.. automodule:: dmripreproc.workflows.fieldmap.base
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.fieldmap.fmap module
----------------------------------------
-
-.. automodule:: dmripreproc.workflows.fieldmap.fmap
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.fieldmap.phasediff module
---------------------------------------------
-
-.. automodule:: dmripreproc.workflows.fieldmap.phasediff
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.workflows.fieldmap
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmriprep.workflows.rst b/docs/dmriprep.workflows.rst
deleted file mode 100644
index 744abc81..00000000
--- a/docs/dmriprep.workflows.rst
+++ /dev/null
@@ -1,30 +0,0 @@
-dmripreproc.workflows package
-==========================
-
-Subpackages
------------
-
-.. toctree::
-
-   dmripreproc.workflows.dwi
-   dmripreproc.workflows.fieldmap
-
-Submodules
-----------
-
-dmripreproc.workflows.base module
-------------------------------
-
-.. automodule:: dmripreproc.workflows.base
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.workflows
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmripreproc.rst b/docs/dmripreproc.rst
index 8aeb9d0f..383c9bd1 100644
--- a/docs/dmripreproc.rst
+++ b/docs/dmripreproc.rst
@@ -29,14 +29,6 @@ dmripreproc.qc module
    :undoc-members:
    :show-inheritance:
 
-dmripreproc.utils module
-------------------------
-
-.. automodule:: dmripreproc.utils
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 
 Module contents
 ---------------
diff --git a/docs/dmripreproc.utils.rst b/docs/dmripreproc.utils.rst
index b66c4b11..334e1f24 100644
--- a/docs/dmripreproc.utils.rst
+++ b/docs/dmripreproc.utils.rst
@@ -12,10 +12,10 @@ dmripreproc.utils.bids module
    :undoc-members:
    :show-inheritance:
 
-dmripreproc.utils.image module
-------------------------------
+dmripreproc.utils.hemisphere module
+-----------------------------------
 
-.. automodule:: dmripreproc.utils.image
+.. automodule:: dmripreproc.utils.hemisphere
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/dmripreproc.workflows.dwi.rst b/docs/dmripreproc.workflows.dwi.rst
index 709ab2a5..7b01de76 100644
--- a/docs/dmripreproc.workflows.dwi.rst
+++ b/docs/dmripreproc.workflows.dwi.rst
@@ -12,6 +12,14 @@ dmripreproc.workflows.dwi.base module
    :undoc-members:
    :show-inheritance:
 
+dmripreproc.workflows.dwi.dwiprep module
+----------------------------------------
+
+.. automodule:: dmripreproc.workflows.dwi.dwiprep
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmripreproc.workflows.dwi.outputs module
 ----------------------------------------
 
diff --git a/docs/index.rst b/docs/index.rst
index f3ef5b39..ff0c7abd 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,5 +1,5 @@
 Welcome to dmripreproc's documentation!
-======================================
+=======================================
 
 .. toctree::
    :maxdepth: 2

From f441bfd5277a437e5b21851ca89f62bf0b45ec1d Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 22 Jul 2019 18:20:26 -0400
Subject: [PATCH 086/156] remove references to total_readout cli arguments

---
 dmripreproc/workflows/dwi/base.py | 11 +++--------
 1 file changed, 3 insertions(+), 8 deletions(-)

diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
index 98e37ec5..50d5d08c 100755
--- a/dmripreproc/workflows/dwi/base.py
+++ b/dmripreproc/workflows/dwi/base.py
@@ -109,7 +109,7 @@ def gen_index(in_file):
         name="gen_index",
     )
 
-    def gen_acqparams(in_file, metadata, total_readout_time):
+    def gen_acqparams(in_file, metadata):
         import os
         import numpy as np
         import nibabel as nib
@@ -133,10 +133,7 @@ def gen_acqparams(in_file, metadata, total_readout_time):
 
         pe_dir = metadata.get("PhaseEncodingDirection")
 
-        if total_readout_time:
-            total_readout = total_readout_time
-        else:
-            total_readout = metadata.get("TotalReadoutTime")
+        total_readout = metadata.get("TotalReadoutTime")
 
         acq_param_lines = acq_param_dict[pe_dir] % total_readout
 
@@ -147,15 +144,13 @@ def gen_acqparams(in_file, metadata, total_readout_time):
 
     acqp = pe.Node(
         niu.Function(
-            input_names=["in_file", "metadata", "total_readout_time"],
+            input_names=["in_file", "metadata"],
             output_names=["out_file"],
             function=gen_acqparams,
         ),
         name="acqp",
     )
 
-    acqp.inputs.total_readout_time = parameters.total_readout
-
     def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         """
         A function that averages the *b0* volumes from a DWI dataset.

From aa6831d155fba72386d7bf3f90515885bb895100 Mon Sep 17 00:00:00 2001
From: Oscar Esteban <code@oscaresteban.es>
Date: Mon, 22 Jul 2019 23:07:13 -0700
Subject: [PATCH 087/156] MAINT: Start migration to a BIDS-App deployment
 following fMRIPrep.

---
 dmriprep/_version.py |  533 ++++++++++++
 setup.cfg            |  117 ++-
 versioneer.py        | 1827 ++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 2458 insertions(+), 19 deletions(-)
 create mode 100644 dmriprep/_version.py
 create mode 100644 versioneer.py

diff --git a/dmriprep/_version.py b/dmriprep/_version.py
new file mode 100644
index 00000000..af3988c3
--- /dev/null
+++ b/dmriprep/_version.py
@@ -0,0 +1,533 @@
+
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain. Generated by
+# versioneer-0.18 (https://github.com/warner/python-versioneer)
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+
+
+def get_keywords():
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "$Format:%d$"
+    git_full = "$Format:%H$"
+    git_date = "$Format:%ci$"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_config():
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "pep440"
+    cfg.tag_prefix = ""
+    cfg.parentdir_prefix = ""
+    cfg.versionfile_source = "dmriprep/_version.py"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g., "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%s*" % tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%d" % pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions():
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+    root = os.path.realpath(__file__)
+
+    root_dir = os.path.dirname(root)
+    if os.path.isfile(os.path.join(root_dir, 'VERSION')):
+        with open(os.path.join(root_dir, 'VERSION')) as vfile:
+            version = vfile.readline().strip()
+
+        return {
+            "version": version,
+            "full-revisionid": None,
+            "dirty": None,
+            "error": None,
+            "date": None
+        }
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for i in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
diff --git a/setup.cfg b/setup.cfg
index c9b349a8..444b2318 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,26 +1,105 @@
-[bumpversion]
-current_version = 0.1.0
-commit = True
-tag = True
+[metadata]
+url = https://github.com/nipreps/dmriprep
+author = The Nipy developers
+author_email = code@oscaresteban.es
+maintainer = Oscar Esteban
+maintainer_email = code@oscaresteban.es
+description = dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
+long_description = file:long_description.rst
+long_description_content_type = text/x-rst; charset=UTF-8
+license = 3-clause BSD
+classifiers =
+    Development Status :: 3 - Alpha
+    Intended Audience :: Science/Research
+    Topic :: Scientific/Engineering :: Image Recognition
+    License :: OSI Approved :: BSD License
+    Programming Language :: Python :: 3.5
+    Programming Language :: Python :: 3.6
+    Programming Language :: Python :: 3.7
 
-[bumpversion:file:setup.py]
-search = version='{current_version}'
-replace = version='{new_version}'
+[options]
+python_requires = >=3.5
+install_requires =
+    niworkflows ~= 0.10.1
+    smriprep @ git+https://github.com/poldracklab/smriprep.git@9f58665830570835545ff83fea1dc91e89706591
+    templateflow ~= 0.4.1
+    nibabel >=2.2.1
+    indexed_gzip >=0.8.8
+    nilearn !=0.5.0, !=0.5.1
+    nipype >=1.2.0
+    psutil >=5.4
+    pybids ~= 0.9.2
+    nitime
+    numpy
+    pandas
+    pyyaml
+    scikit-image
+    statsmodels
+test_requires =
+    coverage
+    codecov
+    pytest
+packages = find:
+include_package_data = True
 
-[bumpversion:file:dmriprep/__init__.py]
-search = __version__ = '{current_version}'
-replace = __version__ = '{new_version}'
+[options.exclude_package_data]
+* = tests
 
-[bdist_wheel]
-universal = 1
+[options.extras_require]
+datalad = datalad
+doc =
+    nbsphinx
+    packaging
+    pydot >=1.2.3
+    pydotplus
+    sphinx >=1.5.3
+    sphinx-argparse
+    sphinx_rtd_theme
+docs =
+    %(doc)s
+duecredit = duecredit
+resmon =
+sentry = sentry-sdk >=0.6.9
+tests =
+    coverage
+    codecov
+    pytest
+all =
+    %(datalad)s
+    %(doc)s
+    %(duecredit)s
+    %(sentry)s
+    %(tests)s
 
-[flake8]
-exclude = docs
+[options.package_data]
+dmriprep =
+    data/*.json
+    data/*.nii.gz
+    data/*.mat
+    data/boilerplate.bib
+    data/itkIdentityTransform.txt
+    data/flirtsch/bbr.sch
+    VERSION
 
-[aliases]
-# Define setup.py command aliases here
-test = pytest
+[options.entry_points]
+console_scripts =
+    dmriprep=dmriprep.cli.run:main
+    dmriprep-boldmask=dmriprep.cli.dmriprep_bold_mask:main
+    sample_openfmri=dmriprep.cli.sample_openfmri:main
 
-[tool:pytest]
-collect_ignore = ['setup.py']
+[versioneer]
+VCS = git
+style = pep440
+versionfile_source = dmriprep/_version.py
+versionfile_build = dmriprep/_version.py
+tag_prefix =
+parentdir_prefix =
 
+[flake8]
+max-line-length = 99
+doctests = True
+exclude=*build/
+putty-ignore =
+    */__init__.py : +F401
+    docs/conf.py : +E265
+    /^\s*\.\. _.*?: http/ : +E501
diff --git a/versioneer.py b/versioneer.py
new file mode 100644
index 00000000..f654ff30
--- /dev/null
+++ b/versioneer.py
@@ -0,0 +1,1827 @@
+
+# Version: 0.18
+
+"""The Versioneer - like a rocketeer, but for versions.
+
+The Versioneer
+==============
+
+* like a rocketeer, but for versions!
+* https://github.com/warner/python-versioneer
+* Brian Warner
+* License: Public Domain
+* Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy
+* [![Latest Version]
+(https://pypip.in/version/versioneer/badge.svg?style=flat)
+](https://pypi.python.org/pypi/versioneer/)
+* [![Build Status]
+(https://travis-ci.org/warner/python-versioneer.png?branch=master)
+](https://travis-ci.org/warner/python-versioneer)
+
+This is a tool for managing a recorded version number in distutils-based
+python projects. The goal is to remove the tedious and error-prone "update
+the embedded version string" step from your release process. Making a new
+release should be as easy as recording a new tag in your version-control
+system, and maybe making new tarballs.
+
+
+## Quick Install
+
+* `pip install versioneer` to somewhere to your $PATH
+* add a `[versioneer]` section to your setup.cfg (see below)
+* run `versioneer install` in your source tree, commit the results
+
+## Version Identifiers
+
+Source trees come from a variety of places:
+
+* a version-control system checkout (mostly used by developers)
+* a nightly tarball, produced by build automation
+* a snapshot tarball, produced by a web-based VCS browser, like github's
+  "tarball from tag" feature
+* a release tarball, produced by "setup.py sdist", distributed through PyPI
+
+Within each source tree, the version identifier (either a string or a number,
+this tool is format-agnostic) can come from a variety of places:
+
+* ask the VCS tool itself, e.g., "git describe" (for checkouts), which knows
+  about recent "tags" and an absolute revision-id
+* the name of the directory into which the tarball was unpacked
+* an expanded VCS keyword ($Id$, etc)
+* a `_version.py` created by some earlier build step
+
+For released software, the version identifier is closely related to a VCS
+tag. Some projects use tag names that include more than just the version
+string (e.g., "myproject-1.2" instead of just "1.2"), in which case the tool
+needs to strip the tag prefix to extract the version identifier. For
+unreleased software (between tags), the version identifier should provide
+enough information to help developers recreate the same tree, while also
+giving them an idea of roughly how old the tree is (after version 1.2, before
+version 1.3). Many VCS systems can report a description that captures this,
+for example `git describe --tags --dirty --always` reports things like
+"0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the
+0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has
+uncommitted changes.
+
+The version identifier is used for multiple purposes:
+
+* to allow the module to self-identify its version: `myproject.__version__`
+* to choose a name and prefix for a 'setup.py sdist' tarball
+
+## Theory of Operation
+
+Versioneer works by adding a special `_version.py` file into your source
+tree, where your `__init__.py` can import it. This `_version.py` knows how to
+dynamically ask the VCS tool for version information at import time.
+
+`_version.py` also contains `$Revision$` markers, and the installation
+process marks `_version.py` to have this marker rewritten with a tag name
+during the `git archive` command. As a result, generated tarballs will
+contain enough information to get the proper version.
+
+To allow `setup.py` to compute a version too, a `versioneer.py` is added to
+the top level of your source tree, next to `setup.py` and the `setup.cfg`
+that configures it. This overrides several distutils/setuptools commands to
+compute the version when invoked, and changes `setup.py build` and `setup.py
+sdist` to replace `_version.py` with a small static file that contains just
+the generated version data.
+
+## Installation
+
+See [INSTALL.md](./INSTALL.md) for detailed installation instructions.
+
+## Version-String Flavors
+
+Code which uses Versioneer can learn about its version string at runtime by
+importing `_version` from your main `__init__.py` file and running the
+`get_versions()` function. From the "outside" (e.g., in `setup.py`), you can
+import the top-level `versioneer.py` and run `get_versions()`.
+
+Both functions return a dictionary with different flavors of version
+information:
+
+* `['version']`: A condensed version string, rendered using the selected
+  style. This is the most commonly used value for the project's version
+  string. The default "pep440" style yields strings like `0.11`,
+  `0.11+2.g1076c97`, or `0.11+2.g1076c97.dirty`. See the "Styles" section
+  below for alternative styles.
+
+* `['full-revisionid']`: detailed revision identifier. For Git, this is the
+  full SHA1 commit id, e.g., "1076c978a8d3cfc70f408fe5974aa6c092c949ac".
+
+* `['date']`: Date and time of the latest `HEAD` commit. For Git, it is the
+  commit date in ISO 8601 format. This will be None if the date is not
+  available.
+
+* `['dirty']`: a boolean, True if the tree has uncommitted changes. Note that
+  this is only accurate if run in a VCS checkout, otherwise it is likely to
+  be False or None
+
+* `['error']`: if the version string could not be computed, this will be set
+  to a string describing the problem, otherwise it will be None. It may be
+  useful to throw an exception in setup.py if this is set, to avoid e.g.
+  creating tarballs with a version string of "unknown".
+
+Some variants are more useful than others. Including `full-revisionid` in a
+bug report should allow developers to reconstruct the exact code being tested
+(or indicate the presence of local changes that should be shared with the
+developers). `version` is suitable for display in an "about" box or a CLI
+`--version` output: it can be easily compared against release notes and lists
+of bugs fixed in various releases.
+
+The installer adds the following text to your `__init__.py` to place a basic
+version in `YOURPROJECT.__version__`:
+
+    from ._version import get_versions
+    __version__ = get_versions()['version']
+    del get_versions
+
+## Styles
+
+The setup.cfg `style=` configuration controls how the VCS information is
+rendered into a version string.
+
+The default style, "pep440", produces a PEP440-compliant string, equal to the
+un-prefixed tag name for actual releases, and containing an additional "local
+version" section with more detail for in-between builds. For Git, this is
+TAG[+DISTANCE.gHEX[.dirty]] , using information from `git describe --tags
+--dirty --always`. For example "0.11+2.g1076c97.dirty" indicates that the
+tree is like the "1076c97" commit but has uncommitted changes (".dirty"), and
+that this commit is two revisions ("+2") beyond the "0.11" tag. For released
+software (exactly equal to a known tag), the identifier will only contain the
+stripped tag, e.g., "0.11".
+
+Other styles are available. See [details.md](details.md) in the Versioneer
+source tree for descriptions.
+
+## Debugging
+
+Versioneer tries to avoid fatal errors: if something goes wrong, it will tend
+to return a version of "0+unknown". To investigate the problem, run `setup.py
+version`, which will run the version-lookup code in a verbose mode, and will
+display the full contents of `get_versions()` (including the `error` string,
+which may help identify what went wrong).
+
+## Known Limitations
+
+Some situations are known to cause problems for Versioneer. This details the
+most significant ones. More can be found on Github
+[issues page](https://github.com/warner/python-versioneer/issues).
+
+### Subprojects
+
+Versioneer has limited support for source trees in which `setup.py` is not in
+the root directory (e.g., `setup.py` and `.git/` are *not* siblings). The are
+two common reasons why `setup.py` might not be in the root:
+
+* Source trees which contain multiple subprojects, such as
+  [Buildbot](https://github.com/buildbot/buildbot), which contains both
+  "master" and "slave" subprojects, each with their own `setup.py`,
+  `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI
+  distributions (and upload multiple independently-installable tarballs).
+* Source trees whose main purpose is to contain a C library, but which also
+  provide bindings to Python (and perhaps other langauges) in subdirectories.
+
+Versioneer will look for `.git` in parent directories, and most operations
+should get the right version string. However `pip` and `setuptools` have bugs
+and implementation details which frequently cause `pip install .` from a
+subproject directory to fail to find a correct version string (so it usually
+defaults to `0+unknown`).
+
+`pip install --editable .` should work correctly. `setup.py install` might
+work too.
+
+Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in
+some later version.
+
+[Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking
+this issue. The discussion in
+[PR #61](https://github.com/warner/python-versioneer/pull/61) describes the
+issue from the Versioneer side in more detail.
+[pip PR#3176](https://github.com/pypa/pip/pull/3176) and
+[pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve
+pip to let Versioneer work correctly.
+
+Versioneer-0.16 and earlier only looked for a `.git` directory next to the
+`setup.cfg`, so subprojects were completely unsupported with those releases.
+
+### Editable installs with setuptools <= 18.5
+
+`setup.py develop` and `pip install --editable .` allow you to install a
+project into a virtualenv once, then continue editing the source code (and
+test) without re-installing after every change.
+
+"Entry-point scripts" (`setup(entry_points={"console_scripts": ..})`) are a
+convenient way to specify executable scripts that should be installed along
+with the python package.
+
+These both work as expected when using modern setuptools. When using
+setuptools-18.5 or earlier, however, certain operations will cause
+`pkg_resources.DistributionNotFound` errors when running the entrypoint
+script, which must be resolved by re-installing the package. This happens
+when the install happens with one version, then the egg_info data is
+regenerated while a different version is checked out. Many setup.py commands
+cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into
+a different virtualenv), so this can be surprising.
+
+[Bug #83](https://github.com/warner/python-versioneer/issues/83) describes
+this one, but upgrading to a newer version of setuptools should probably
+resolve it.
+
+### Unicode version strings
+
+While Versioneer works (and is continually tested) with both Python 2 and
+Python 3, it is not entirely consistent with bytes-vs-unicode distinctions.
+Newer releases probably generate unicode version strings on py2. It's not
+clear that this is wrong, but it may be surprising for applications when then
+write these strings to a network connection or include them in bytes-oriented
+APIs like cryptographic checksums.
+
+[Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates
+this question.
+
+
+## Updating Versioneer
+
+To upgrade your project to a new release of Versioneer, do the following:
+
+* install the new Versioneer (`pip install -U versioneer` or equivalent)
+* edit `setup.cfg`, if necessary, to include any new configuration settings
+  indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details.
+* re-run `versioneer install` in your source tree, to replace
+  `SRC/_version.py`
+* commit any changed files
+
+## Future Directions
+
+This tool is designed to make it easily extended to other version-control
+systems: all VCS-specific components are in separate directories like
+src/git/ . The top-level `versioneer.py` script is assembled from these
+components by running make-versioneer.py . In the future, make-versioneer.py
+will take a VCS name as an argument, and will construct a version of
+`versioneer.py` that is specific to the given VCS. It might also take the
+configuration arguments that are currently provided manually during
+installation by editing setup.py . Alternatively, it might go the other
+direction and include code from all supported VCS systems, reducing the
+number of intermediate scripts.
+
+
+## License
+
+To make Versioneer easier to embed, all its code is dedicated to the public
+domain. The `_version.py` that it creates is also in the public domain.
+Specifically, both are released under the Creative Commons "Public Domain
+Dedication" license (CC0-1.0), as described in
+https://creativecommons.org/publicdomain/zero/1.0/ .
+
+"""
+try:
+    import configparser
+except ImportError:
+    import ConfigParser as configparser
+import errno
+import json
+import os
+import re
+import subprocess
+import sys
+from pathlib import Path
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_root():
+    """Get the project root directory.
+
+    We require that all commands are run from the project root, i.e., the
+    directory that contains setup.py, setup.cfg, and versioneer.py .
+    """
+    root = os.path.realpath(os.path.abspath(os.getcwd()))
+    setup_py = os.path.join(root, "setup.py")
+    versioneer_py = os.path.join(root, "versioneer.py")
+    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+        # allow 'python path/to/setup.py COMMAND'
+        root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0])))
+        setup_py = os.path.join(root, "setup.py")
+        versioneer_py = os.path.join(root, "versioneer.py")
+    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+        err = ("Versioneer was unable to run the project root directory. "
+               "Versioneer requires setup.py to be executed from "
+               "its immediate directory (like 'python setup.py COMMAND'), "
+               "or in a way that lets it use sys.argv[0] to find the root "
+               "(like 'python path/to/setup.py COMMAND').")
+        raise VersioneerBadRootError(err)
+    try:
+        # Certain runtime workflows (setup.py install/develop in a setuptools
+        # tree) execute all dependencies in a single python process, so
+        # "versioneer" may be imported multiple times, and python's shared
+        # module-import table will cache the first one. So we can't use
+        # os.path.dirname(__file__), as that will find whichever
+        # versioneer.py was first imported, even in later projects.
+        me = os.path.realpath(os.path.abspath(__file__))
+        me_dir = os.path.normcase(os.path.splitext(me)[0])
+        vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
+        if me_dir != vsr_dir:
+            print("Warning: build in %s is using versioneer.py from %s"
+                  % (os.path.dirname(me), versioneer_py))
+    except NameError:
+        pass
+    return root
+
+
+def get_config_from_root(root):
+    """Read the project setup.cfg file to determine Versioneer config."""
+    # This might raise EnvironmentError (if setup.cfg is missing), or
+    # configparser.NoSectionError (if it lacks a [versioneer] section), or
+    # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
+    # the top of versioneer.py for instructions on writing your setup.cfg .
+    setup_cfg = os.path.join(root, "setup.cfg")
+    parser = configparser.SafeConfigParser()
+    with open(setup_cfg, "r") as f:
+        parser.readfp(f)
+    VCS = parser.get("versioneer", "VCS")  # mandatory
+
+    def get(parser, name):
+        if parser.has_option("versioneer", name):
+            return parser.get("versioneer", name)
+        return None
+    cfg = VersioneerConfig()
+    cfg.VCS = VCS
+    cfg.style = get(parser, "style") or ""
+    cfg.versionfile_source = get(parser, "versionfile_source")
+    cfg.versionfile_build = get(parser, "versionfile_build")
+    cfg.tag_prefix = get(parser, "tag_prefix")
+    if cfg.tag_prefix in ("''", '""'):
+        cfg.tag_prefix = ""
+    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
+    cfg.verbose = get(parser, "verbose")
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+# these dictionaries contain VCS-specific tools
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+LONG_VERSION_PY['git'] = '''
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain. Generated by
+# versioneer-0.18 (https://github.com/warner/python-versioneer)
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+
+
+def get_keywords():
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "%(DOLLAR)sFormat:%%d%(DOLLAR)s"
+    git_full = "%(DOLLAR)sFormat:%%H%(DOLLAR)s"
+    git_date = "%(DOLLAR)sFormat:%%ci%(DOLLAR)s"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_config():
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "%(STYLE)s"
+    cfg.tag_prefix = "%(TAG_PREFIX)s"
+    cfg.parentdir_prefix = "%(PARENTDIR_PREFIX)s"
+    cfg.versionfile_source = "%(VERSIONFILE_SOURCE)s"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %%s" %% dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %%s" %% (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %%s (error)" %% dispcmd)
+            print("stdout was %%s" %% stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %%s but none started with prefix %%s" %%
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %%d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%%s', no digits" %% ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %%s" %% ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g., "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %%s" %% r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %%s not under git control" %% root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%%s*" %% tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%%s'"
+                               %% describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%%s' doesn't start with prefix '%%s'"
+                print(fmt %% (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%%s' doesn't start with prefix '%%s'"
+                               %% (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%%d.g%%s" %% (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%%d" %% pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%%d" %% pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%%s" %% pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%%s" %% pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%%s'" %% style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions():
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        root = os.path.realpath(__file__)
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for i in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
+'''
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g., "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%s*" % tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def do_vcs_install(manifest_in, versionfile_source, ipy):
+    """Git-specific installation logic for Versioneer.
+
+    For Git, this means creating/changing .gitattributes to mark _version.py
+    for export-subst keyword substitution.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+    files = [manifest_in, versionfile_source]
+    if ipy:
+        files.append(ipy)
+    try:
+        me = __file__
+        if me.endswith(".pyc") or me.endswith(".pyo"):
+            me = os.path.splitext(me)[0] + ".py"
+        versioneer_file = os.path.relpath(me)
+    except NameError:
+        versioneer_file = "versioneer.py"
+    files.append(versioneer_file)
+    present = False
+    try:
+        f = open(".gitattributes", "r")
+        for line in f.readlines():
+            if line.strip().startswith(versionfile_source):
+                if "export-subst" in line.strip().split()[1:]:
+                    present = True
+        f.close()
+    except EnvironmentError:
+        pass
+    if not present:
+        f = open(".gitattributes", "a+")
+        f.write("%s export-subst\n" % versionfile_source)
+        f.close()
+        files.append(".gitattributes")
+    run_command(GITS, ["add", "--"] + files)
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+SHORT_VERSION_PY = """
+# This file was generated by 'versioneer.py' (0.18) from
+# revision-control system data, or from the parent directory name of an
+# unpacked source archive. Distribution tarballs contain a pre-generated copy
+# of this file.
+
+import json
+
+version_json = '''
+%s
+'''  # END VERSION_JSON
+
+
+def get_versions():
+    return json.loads(version_json)
+"""
+
+
+def versions_from_file(filename):
+    """Try to determine the version from _version.py if present."""
+    try:
+        with open(filename) as f:
+            contents = f.read()
+    except EnvironmentError:
+        raise NotThisMethod("unable to read _version.py")
+    mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
+                   contents, re.M | re.S)
+    if not mo:
+        mo = re.search(r"version_json = '''\r\n(.*)'''  # END VERSION_JSON",
+                       contents, re.M | re.S)
+    if not mo:
+        raise NotThisMethod("no version_json in _version.py")
+    return json.loads(mo.group(1))
+
+
+def write_to_version_file(filename, versions):
+    """Write the given version number to the given _version.py file."""
+    os.unlink(filename)
+    contents = json.dumps(versions, sort_keys=True,
+                          indent=1, separators=(",", ": "))
+    with open(filename, "w") as f:
+        f.write(SHORT_VERSION_PY % contents)
+
+    print("set %s to '%s'" % (filename, versions["version"]))
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%d" % pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+class VersioneerBadRootError(Exception):
+    """The project root directory is unknown or missing key files."""
+
+
+def get_versions(verbose=False):
+    """Get the project version from whatever source is available.
+
+    Returns dict with two keys: 'version' and 'full'.
+    """
+    ver_file = Path(__file__).parent / 'dmriprep' / 'VERSION'
+
+    if ver_file.is_file():
+        ver = ver_file.read_text().splitlines()[0].strip()
+        return {"version": ver, 'full': ver}
+
+    if "versioneer" in sys.modules:
+        # see the discussion in cmdclass.py:get_cmdclass()
+        del sys.modules["versioneer"]
+
+    root = get_root()
+    cfg = get_config_from_root(root)
+
+    assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg"
+    handlers = HANDLERS.get(cfg.VCS)
+    assert handlers, "unrecognized VCS '%s'" % cfg.VCS
+    verbose = verbose or cfg.verbose
+    assert cfg.versionfile_source is not None, \
+        "please set versioneer.versionfile_source"
+    assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
+
+    versionfile_abs = os.path.join(root, cfg.versionfile_source)
+
+    # extract version from first of: _version.py, VCS command (e.g., 'git
+    # describe'), parentdir. This is meant to work for developers using a
+    # source checkout, for users of a tarball created by 'setup.py sdist',
+    # and for users of a tarball/zipball created by 'git archive' or github's
+    # download-from-tag feature or the equivalent in other VCSes.
+
+    get_keywords_f = handlers.get("get_keywords")
+    from_keywords_f = handlers.get("keywords")
+    if get_keywords_f and from_keywords_f:
+        try:
+            keywords = get_keywords_f(versionfile_abs)
+            ver = from_keywords_f(keywords, cfg.tag_prefix, verbose)
+            if verbose:
+                print("got version from expanded keyword %s" % ver)
+            return ver
+        except NotThisMethod:
+            pass
+
+    try:
+        ver = versions_from_file(versionfile_abs)
+        if verbose:
+            print("got version from file %s %s" % (versionfile_abs, ver))
+        return ver
+    except NotThisMethod:
+        pass
+
+    from_vcs_f = handlers.get("pieces_from_vcs")
+    if from_vcs_f:
+        try:
+            pieces = from_vcs_f(cfg.tag_prefix, root, verbose)
+            ver = render(pieces, cfg.style)
+            if verbose:
+                print("got version from VCS %s" % ver)
+            return ver
+        except NotThisMethod:
+            pass
+
+    try:
+        if cfg.parentdir_prefix:
+            ver = versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+            if verbose:
+                print("got version from parentdir %s" % ver)
+            return ver
+    except NotThisMethod:
+        pass
+
+    if verbose:
+        print("unable to compute version")
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None, "error": "unable to compute version",
+            "date": None}
+
+
+def get_version():
+    """Get the short version string for this project."""
+    return get_versions()["version"]
+
+
+def get_cmdclass():
+    """Get the custom setuptools/distutils subclasses used by Versioneer."""
+    if "versioneer" in sys.modules:
+        del sys.modules["versioneer"]
+        # this fixes the "python setup.py develop" case (also 'install' and
+        # 'easy_install .'), in which subdependencies of the main project are
+        # built (using setup.py bdist_egg) in the same python process. Assume
+        # a main project A and a dependency B, which use different versions
+        # of Versioneer. A's setup.py imports A's Versioneer, leaving it in
+        # sys.modules by the time B's setup.py is executed, causing B to run
+        # with the wrong versioneer. Setuptools wraps the sub-dep builds in a
+        # sandbox that restores sys.modules to it's pre-build state, so the
+        # parent is protected against the child's "import versioneer". By
+        # removing ourselves from sys.modules here, before the child build
+        # happens, we protect the child from the parent's versioneer too.
+        # Also see https://github.com/warner/python-versioneer/issues/52
+
+    cmds = {}
+
+    # we add "version" to both distutils and setuptools
+    from distutils.core import Command
+
+    class cmd_version(Command):
+        description = "report generated version string"
+        user_options = []
+        boolean_options = []
+
+        def initialize_options(self):
+            pass
+
+        def finalize_options(self):
+            pass
+
+        def run(self):
+            vers = get_versions(verbose=True)
+            print("Version: %s" % vers["version"])
+            print(" full-revisionid: %s" % vers.get("full-revisionid"))
+            print(" dirty: %s" % vers.get("dirty"))
+            print(" date: %s" % vers.get("date"))
+            if vers["error"]:
+                print(" error: %s" % vers["error"])
+    cmds["version"] = cmd_version
+
+    # we override "build_py" in both distutils and setuptools
+    #
+    # most invocation pathways end up running build_py:
+    #  distutils/build -> build_py
+    #  distutils/install -> distutils/build ->..
+    #  setuptools/bdist_wheel -> distutils/install ->..
+    #  setuptools/bdist_egg -> distutils/install_lib -> build_py
+    #  setuptools/install -> bdist_egg ->..
+    #  setuptools/develop -> ?
+    #  pip install:
+    #   copies source tree to a tempdir before running egg_info/etc
+    #   if .git isn't copied too, 'git describe' will fail
+    #   then does setup.py bdist_wheel, or sometimes setup.py install
+    #  setup.py egg_info -> ?
+
+    # we override different "build_py" commands for both environments
+    if "setuptools" in sys.modules:
+        from setuptools.command.build_py import build_py as _build_py
+    else:
+        from distutils.command.build_py import build_py as _build_py
+
+    class cmd_build_py(_build_py):
+        def run(self):
+            root = get_root()
+            cfg = get_config_from_root(root)
+            versions = get_versions()
+            _build_py.run(self)
+            # now locate _version.py in the new build/ directory and replace
+            # it with an updated value
+            if cfg.versionfile_build:
+                target_versionfile = os.path.join(self.build_lib,
+                                                  cfg.versionfile_build)
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+    cmds["build_py"] = cmd_build_py
+
+    if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
+        from cx_Freeze.dist import build_exe as _build_exe
+        # nczeczulin reports that py2exe won't like the pep440-style string
+        # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
+        # setup(console=[{
+        #   "version": versioneer.get_version().split("+", 1)[0], # FILEVERSION
+        #   "product_version": versioneer.get_version(),
+        #   ...
+
+        class cmd_build_exe(_build_exe):
+            def run(self):
+                root = get_root()
+                cfg = get_config_from_root(root)
+                versions = get_versions()
+                target_versionfile = cfg.versionfile_source
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+
+                _build_exe.run(self)
+                os.unlink(target_versionfile)
+                with open(cfg.versionfile_source, "w") as f:
+                    LONG = LONG_VERSION_PY[cfg.VCS]
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
+        cmds["build_exe"] = cmd_build_exe
+        del cmds["build_py"]
+
+    if 'py2exe' in sys.modules:  # py2exe enabled?
+        try:
+            from py2exe.distutils_buildexe import py2exe as _py2exe  # py3
+        except ImportError:
+            from py2exe.build_exe import py2exe as _py2exe  # py2
+
+        class cmd_py2exe(_py2exe):
+            def run(self):
+                root = get_root()
+                cfg = get_config_from_root(root)
+                versions = get_versions()
+                target_versionfile = cfg.versionfile_source
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+
+                _py2exe.run(self)
+                os.unlink(target_versionfile)
+                with open(cfg.versionfile_source, "w") as f:
+                    LONG = LONG_VERSION_PY[cfg.VCS]
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
+        cmds["py2exe"] = cmd_py2exe
+
+    # we override different "sdist" commands for both environments
+    if "setuptools" in sys.modules:
+        from setuptools.command.sdist import sdist as _sdist
+    else:
+        from distutils.command.sdist import sdist as _sdist
+
+    class cmd_sdist(_sdist):
+        def run(self):
+            versions = get_versions()
+            self._versioneer_generated_versions = versions
+            # unless we update this, the command will keep using the old
+            # version
+            self.distribution.metadata.version = versions["version"]
+            return _sdist.run(self)
+
+        def make_release_tree(self, base_dir, files):
+            root = get_root()
+            cfg = get_config_from_root(root)
+            _sdist.make_release_tree(self, base_dir, files)
+            # now locate _version.py in the new base_dir directory
+            # (remembering that it may be a hardlink) and replace it with an
+            # updated value
+            target_versionfile = os.path.join(base_dir, cfg.versionfile_source)
+            print("UPDATING %s" % target_versionfile)
+            write_to_version_file(target_versionfile,
+                                  self._versioneer_generated_versions)
+    cmds["sdist"] = cmd_sdist
+
+    return cmds
+
+
+CONFIG_ERROR = """
+setup.cfg is missing the necessary Versioneer configuration. You need
+a section like:
+
+ [versioneer]
+ VCS = git
+ style = pep440
+ versionfile_source = src/myproject/_version.py
+ versionfile_build = myproject/_version.py
+ tag_prefix =
+ parentdir_prefix = myproject-
+
+You will also need to edit your setup.py to use the results:
+
+ import versioneer
+ setup(version=versioneer.get_version(),
+       cmdclass=versioneer.get_cmdclass(), ...)
+
+Please read the docstring in ./versioneer.py for configuration instructions,
+edit setup.cfg, and re-run the installer or 'python versioneer.py setup'.
+"""
+
+SAMPLE_CONFIG = """
+# See the docstring in versioneer.py for instructions. Note that you must
+# re-run 'versioneer.py setup' after changing this section, and commit the
+# resulting files.
+
+[versioneer]
+#VCS = git
+#style = pep440
+#versionfile_source =
+#versionfile_build =
+#tag_prefix =
+#parentdir_prefix =
+
+"""
+
+INIT_PY_SNIPPET = """
+from ._version import get_versions
+__version__ = get_versions()['version']
+del get_versions
+"""
+
+
+def do_setup():
+    """Main VCS-independent setup function for installing Versioneer."""
+    root = get_root()
+    try:
+        cfg = get_config_from_root(root)
+    except (EnvironmentError, configparser.NoSectionError,
+            configparser.NoOptionError) as e:
+        if isinstance(e, (EnvironmentError, configparser.NoSectionError)):
+            print("Adding sample versioneer config to setup.cfg",
+                  file=sys.stderr)
+            with open(os.path.join(root, "setup.cfg"), "a") as f:
+                f.write(SAMPLE_CONFIG)
+        print(CONFIG_ERROR, file=sys.stderr)
+        return 1
+
+    print(" creating %s" % cfg.versionfile_source)
+    with open(cfg.versionfile_source, "w") as f:
+        LONG = LONG_VERSION_PY[cfg.VCS]
+        f.write(LONG % {"DOLLAR": "$",
+                        "STYLE": cfg.style,
+                        "TAG_PREFIX": cfg.tag_prefix,
+                        "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                        "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                        })
+
+    ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
+                       "__init__.py")
+    if os.path.exists(ipy):
+        try:
+            with open(ipy, "r") as f:
+                old = f.read()
+        except EnvironmentError:
+            old = ""
+        if INIT_PY_SNIPPET not in old:
+            print(" appending to %s" % ipy)
+            with open(ipy, "a") as f:
+                f.write(INIT_PY_SNIPPET)
+        else:
+            print(" %s unmodified" % ipy)
+    else:
+        print(" %s doesn't exist, ok" % ipy)
+        ipy = None
+
+    # Make sure both the top-level "versioneer.py" and versionfile_source
+    # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so
+    # they'll be copied into source distributions. Pip won't be able to
+    # install the package without this.
+    manifest_in = os.path.join(root, "MANIFEST.in")
+    simple_includes = set()
+    try:
+        with open(manifest_in, "r") as f:
+            for line in f:
+                if line.startswith("include "):
+                    for include in line.split()[1:]:
+                        simple_includes.add(include)
+    except EnvironmentError:
+        pass
+    # That doesn't cover everything MANIFEST.in can do
+    # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
+    # it might give some false negatives. Appending redundant 'include'
+    # lines is safe, though.
+    if "versioneer.py" not in simple_includes:
+        print(" appending 'versioneer.py' to MANIFEST.in")
+        with open(manifest_in, "a") as f:
+            f.write("include versioneer.py\n")
+    else:
+        print(" 'versioneer.py' already in MANIFEST.in")
+    if cfg.versionfile_source not in simple_includes:
+        print(" appending versionfile_source ('%s') to MANIFEST.in" %
+              cfg.versionfile_source)
+        with open(manifest_in, "a") as f:
+            f.write("include %s\n" % cfg.versionfile_source)
+    else:
+        print(" versionfile_source already in MANIFEST.in")
+
+    # Make VCS-specific changes. For git, this means creating/changing
+    # .gitattributes to mark _version.py for export-subst keyword
+    # substitution.
+    do_vcs_install(manifest_in, cfg.versionfile_source, ipy)
+    return 0
+
+
+def scan_setup_py():
+    """Validate the contents of setup.py against Versioneer's expectations."""
+    found = set()
+    setters = False
+    errors = 0
+    with open("setup.py", "r") as f:
+        for line in f.readlines():
+            if "import versioneer" in line:
+                found.add("import")
+            if "versioneer.get_cmdclass()" in line:
+                found.add("cmdclass")
+            if "versioneer.get_version()" in line:
+                found.add("get_version")
+            if "versioneer.VCS" in line:
+                setters = True
+            if "versioneer.versionfile_source" in line:
+                setters = True
+    if len(found) != 3:
+        print("")
+        print("Your setup.py appears to be missing some important items")
+        print("(but I might be wrong). Please make sure it has something")
+        print("roughly like the following:")
+        print("")
+        print(" import versioneer")
+        print(" setup( version=versioneer.get_version(),")
+        print("        cmdclass=versioneer.get_cmdclass(),  ...)")
+        print("")
+        errors += 1
+    if setters:
+        print("You should remove lines like 'versioneer.VCS = ' and")
+        print("'versioneer.versionfile_source = ' . This configuration")
+        print("now lives in setup.cfg, and should be removed from setup.py")
+        print("")
+        errors += 1
+    return errors
+
+
+if __name__ == "__main__":
+    cmd = sys.argv[1]
+    if cmd == "setup":
+        errors = do_setup()
+        errors += scan_setup_py()
+        if errors:
+            sys.exit(1)

From de8f7067a5bc930ea9197ff995012af597142dbb Mon Sep 17 00:00:00 2001
From: Oscar Esteban <code@oscaresteban.es>
Date: Mon, 22 Jul 2019 23:17:39 -0700
Subject: [PATCH 088/156] add: long_description.rst based on fmriprep's

---
 long_description.rst | 31 +++++++++++++++++++++++++++++++
 1 file changed, 31 insertions(+)
 create mode 100644 long_description.rst

diff --git a/long_description.rst b/long_description.rst
new file mode 100644
index 00000000..24ac39c9
--- /dev/null
+++ b/long_description.rst
@@ -0,0 +1,31 @@
+Preprocessing of diffusion MRI (dMRI) involves numerous steps to clean and standardize
+the data before fitting a particular model.
+Generally, researchers create ad hoc preprocessing workflows for each dataset,
+building upon a large inventory of available tools.
+The complexity of these workflows has snowballed with rapid advances in
+acquisition and processing.
+dMRIPrep is an analysis-agnostic tool that addresses the challenge of robust and
+reproducible preprocessing for whole-brain dMRI data.
+dMRIPrep automatically adapts a best-in-breed workflow to the idiosyncrasies of
+virtually any dataset, ensuring high-quality preprocessing without manual intervention.
+dMRIPrep equips neuroscientists with an easy-to-use and transparent preprocessing
+workflow, which can help ensure the validity of inference and the interpretability
+of results.
+
+The workflow is based on `Nipype <https://nipype.readthedocs.io>`_ and encompases a large
+set of tools from well-known neuroimaging packages, including
+`FSL <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>`_,
+`ANTs <https://stnava.github.io/ANTs/>`_,
+`FreeSurfer <https://surfer.nmr.mgh.harvard.edu/>`_,
+`AFNI <https://afni.nimh.nih.gov/>`_,
+and `Nilearn <https://nilearn.github.io/>`_.
+This pipeline was designed to provide the best software implementation for each state of
+preprocessing, and will be updated as newer and better neuroimaging software becomes
+available.
+
+dMRIPrep performs basic preprocessing steps (coregistration, normalization, unwarping,
+segmentation, skullstripping etc.) providing outputs that can be
+easily submitted to a variety of tractography algorithms.
+
+[Documentation `dmriprep.org <https://dmriprep.readthedocs.io>`_]
+[Support `neurostars.org <https://neurostars.org/tags/fmriprep>`_]

From 751813f60ba0bdcbefcb1e054eb8a02499753253 Mon Sep 17 00:00:00 2001
From: Oscar Esteban <code@oscaresteban.es>
Date: Mon, 22 Jul 2019 23:26:15 -0700
Subject: [PATCH 089/156] fix: add pyproject.toml and minimized setup.py

---
 README.rst     |  4 +--
 pyproject.toml |  2 ++
 setup.py       | 75 ++++++++++++++------------------------------------
 3 files changed, 24 insertions(+), 57 deletions(-)
 create mode 100644 pyproject.toml

diff --git a/README.rst b/README.rst
index bb725c5e..2d5599d2 100644
--- a/README.rst
+++ b/README.rst
@@ -1,6 +1,6 @@
-======
+========
 dmriprep
-======
+========
 
 
 .. image:: https://img.shields.io/pypi/v/dmriprep.svg
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 00000000..66b15183
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,2 @@
+[build-system]
+requires = ["setuptools >= 40.8.0", "wheel", "numpy", "cython"]
diff --git a/setup.py b/setup.py
index 73fc32b4..a8c05520 100644
--- a/setup.py
+++ b/setup.py
@@ -1,57 +1,22 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
-
-"""The setup script."""
-
-from setuptools import setup, find_packages
-
-with open('README.rst') as readme_file:
-    readme = readme_file.read()
-
-with open('HISTORY.rst') as history_file:
-    history = history_file.read()
-
-requirements = [
-    'Click>=6.0',
-    'nipype',
-    'dipy',
-]
-
-setup_requirements = ['pytest-runner', ]
-
-test_requirements = ['pytest', ]
-
-setup(
-    author="Anisha Keshavan",
-    author_email='keshavan@berkeley.edu',
-    classifiers=[
-        'Development Status :: 2 - Pre-Alpha',
-        'Intended Audience :: Developers',
-        'License :: OSI Approved :: BSD License',
-        'Natural Language :: English',
-        'Programming Language :: Python :: 3',
-        'Programming Language :: Python :: 3.4',
-        'Programming Language :: Python :: 3.5',
-        'Programming Language :: Python :: 3.6',
-        'Programming Language :: Python :: 3.7',
-    ],
-    description="Preprocessing of neuroimaging data in preparation for AFQ analysis",
-    entry_points={
-        'console_scripts': [
-            'dmriprep=dmriprep.cli:main',
-        ],
-    },
-    install_requires=requirements,
-    license="BSD license",
-    long_description=readme + '\n\n' + history,
-    include_package_data=True,
-    keywords='dmriprep',
-    name='dmriprep',
-    packages=find_packages(include=['dmriprep']),
-    setup_requires=setup_requirements,
-    test_suite='tests',
-    tests_require=test_requirements,
-    url='https://github.com/nipy/dmriprep',
-    version='0.1.0',
-    zip_safe=False,
-)
+"""dMRIPrep's setup script."""
+import sys
+from setuptools import setup
+import versioneer
+
+# Give setuptools a hint to complain if it's too old a version
+# 30.3.0 allows us to put most metadata in setup.cfg
+# Should match pyproject.toml
+# Not going to help us much without numpy or new pip, but gives us a shot
+SETUP_REQUIRES = ['setuptools >= 40.8']
+# This enables setuptools to install wheel on-the-fly
+SETUP_REQUIRES += ['wheel'] if 'bdist_wheel' in sys.argv else []
+
+
+if __name__ == '__main__':
+    setup(name='dmriprep',
+          version=versioneer.get_version(),
+          cmdclass=versioneer.get_cmdclass(),
+          setup_requires=SETUP_REQUIRES,
+          )

From 7052cedd5e25ea5fe6b4092ffc726db096642089 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 23 Jul 2019 06:52:41 -0400
Subject: [PATCH 090/156] stricter cli input checking

---
 dmripreproc/cli.py | 67 +++++++++++++++++++++++++++-------------------
 setup.py           |  6 ++---
 2 files changed, 43 insertions(+), 30 deletions(-)

diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index feba7f7f..558e9057 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -54,89 +54,104 @@ def __init__(
 
 
 @click.command()
-@click.argument("bids_dir", type=click.Path())
-@click.argument("output_dir", type=click.Path())
+# arguments as specified by BIDS-Apps
+@click.argument("bids_dir", type=click.Path(exists=True, file_okay=False))
+@click.argument(
+    "output_dir", type=click.Path(exists=True, file_okay=False, writable=True)
+)
 @click.argument(
     "analysis_level",
     default="participant",
     type=click.Choice(["participant", "group"]),
 )
+# optional arguments
+# options for filtering BIDS queries
 @click.option(
     "--skip_bids_validation", help="Skip BIDS validation", is_flag=True
 )
 @click.option(
     "--participant_label",
+    default=None,
     help="The label(s) of the participant(s) that should be "
     "analyzed. The label corresponds to "
     "sub-<participant_label> from the BIDS spec (the 'sub-' "
     "prefix can be removed). If this parameter is not provided "
     "all subjects will be analyzed. Multiple participants "
     "can be specified with a space delimited list.",
-    default=None,
 )
+# options for prepping dwi scans
 @click.option(
     "--concat_shells",
-    help="A space delimited list of acq-<label>",
     default=None,
+    help="A space delimited list of acq-<label>",
 )
 @click.option(
-    "--b0_thresh", help="Threshold for b0 value", default=5, type=(int)
+    "--b0_thresh",
+    default=5,
+    help="Threshold for b0 value",
+    type=click.IntRange(min=0, max=10),
 )
 @click.option(
-    "--resize_scale", help="Scale factor to resize DWI image", type=(float)
+    "--resize_scale", help="Scale factor to resize DWI image", type=float
 )
+# specific options for eddy
 @click.option(
     "--eddy_niter",
+    default=5,
     help="Fixed number of eddy iterations. See "
     "https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide"
     "#A--niter",
-    default=5,
-    type=(int),
+    type=int,
 )
 @click.option(
     "--bet_dwi",
+    default=0.3,
     help="Fractional intensity threshold for BET on the DWI. "
     "A higher value will be more strict; it will cut off more "
     "around what it analyzes the brain to be. "
     "If this parameter is not provided a default of 0.3 will "
     "be used.",
-    default=0.3,
-    type=(float),
+    type=click.FloatRange(min=0, max=1),
 )
 @click.option(
     "--bet_mag",
+    default=0.3,
     help="Fractional intensity threshold for BET on the magnitude. "
     "A higher value will be more strict; it will cut off more "
     "around what it analyzes the brain to be. "
     "If this parameter is not provided a default of 0.3 will "
     "be used.",
-    default=0.3,
-    type=(float),
+    type=click.FloatRange(min=0, max=1),
 )
 @click.option(
     "--acqp_file",
+    default=None,
     help="If you want to pass in an acqp file for topup/eddy instead of"
     "generating it from the json by default.",
-    default=None,
-    type=click.Path(),
+    type=click.Path(exists=True, dir_okay=False),
 )
+# workflow configuration
 @click.option(
     "--ignore_nodes",
+    default="r",
     help="Specify which node(s) to skip during the preprocessing of the dwi."
     "Example: If you want to skip unring and resize, use '--ignore_nodes ur'."
     "Options are: \n"
     "   d: denoise \n"
     "   u: unring \n"
     "   r: resize (upsample)",
-    default="r",
-    type=(str),
+    type=str,
+)
+@click.option(
+    "--work_dir",
+    help="working directory",
+    type=click.Path(exists=True, file_okay=False, writable=True),
 )
-@click.option("--work_dir", help="working directory", type=click.Path())
 @click.option(
     "--synb0_dir",
-    help="If you want to use Synb0-DISCO for preprocessing.",
     default=None,
-    type=click.Path(),
+    help="If you want to use Synb0-DISCO for preprocessing.",
+    type=click.Path(exists=True, file_okay=False),
 )
 def main(
     participant_label,
@@ -156,17 +171,15 @@ def main(
     acqp_file,
 ):
     """
-    BIDS_DIR: The directory with the input dataset formatted according to
-    the BIDS standard.
+    BIDS_DIR: The directory with the input dataset formatted according to the
+    BIDS standard.
 
-    OUTPUT_DIR: The directory where the output files should be stored.
-    If you are running a group level analysis, this folder
-    should be prepopulated with the results of
-    the participant level analysis.
+    OUTPUT_DIR: The directory where the output files should be stored. If you
+    are running a group level analysis, this folder should be prepopulated with
+    the results of the participant level analysis.
 
     ANALYSIS_LEVEL: Level of the analysis that will be performed. Multiple
-    participant level analyses can be run independently
-    (in parallel).
+    participant level analyses can be run independently (in parallel).
     """
 
     if analysis_level != "participant":
diff --git a/setup.py b/setup.py
index 7ccc9782..5a85953e 100644
--- a/setup.py
+++ b/setup.py
@@ -23,12 +23,12 @@
     "numba",
 ]
 
-extras_require = {"dev": ["flake8", "pytest", "pytest-cov", "pre-commit"]}
-
 setup_requirements = ["pytest-runner"]
 
 test_requirements = ["pytest"]
 
+extras_require = {"dev": ["flake8", "pytest", "pytest-cov", "pre-commit"]}
+
 setup(
     # project information
     name="dmripreproc",
@@ -55,7 +55,7 @@
     # cli
     entry_points={"console_scripts": ["dmripreproc=dmripreproc.cli:main"]},
     # metadata
-    keywords="diffusion bids",
+    keywords="diffusion-mri diffusion-preprocessing bids",
     project_urls={
         "Documentation": "https://dmripreproc.readthedocs.io/en/latest/",
         "Tracker": "https://github.com/TIGRLab/dmripreproc/issues/",

From e584fcb57d0da0ec290abcbb054fd299b736f8b8 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 23 Jul 2019 17:24:07 -0400
Subject: [PATCH 091/156] add empty docs to eventually explain outputs and
 workflows

---
 docs/outputs.rst   | 0
 docs/workflows.rst | 0
 2 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 docs/outputs.rst
 create mode 100644 docs/workflows.rst

diff --git a/docs/outputs.rst b/docs/outputs.rst
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/workflows.rst b/docs/workflows.rst
new file mode 100644
index 00000000..e69de29b

From d03821529f42fd05e0b3471689a6fc56dc8efc66 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 23 Jul 2019 17:24:38 -0400
Subject: [PATCH 092/156] update tests

---
 tests/__init__.py         |  3 +++
 tests/test_dmripreproc.py | 36 +++++++++++++++++++++++++++++
 tests/test_utils.py       | 48 +++++++++++++++++++++++----------------
 3 files changed, 67 insertions(+), 20 deletions(-)
 create mode 100644 tests/__init__.py
 create mode 100644 tests/test_dmripreproc.py

diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 00000000..76197cd5
--- /dev/null
+++ b/tests/__init__.py
@@ -0,0 +1,3 @@
+# -*- coding: utf-8 -*-
+
+"""Unit test package for dmripreproc."""
diff --git a/tests/test_dmripreproc.py b/tests/test_dmripreproc.py
new file mode 100644
index 00000000..790a57b1
--- /dev/null
+++ b/tests/test_dmripreproc.py
@@ -0,0 +1,36 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+"""Tests for `dmripreproc` package."""
+
+import pytest
+from click.testing import CliRunner
+
+from dmripreproc import cli
+
+
+@pytest.fixture
+def response():
+    """Sample pytest fixture.
+
+    See more at: http://doc.pytest.org/en/latest/fixture.html
+    """
+    # import requests
+    # return requests.get('https://github.com/audreyr/cookiecutter-pypackage')
+
+
+def test_content(response):
+    """Sample pytest test function with the pytest fixture as an argument."""
+    # from bs4 import BeautifulSoup
+    # assert 'GitHub' in BeautifulSoup(response.content).title.string
+
+
+def test_command_line_interface():
+    """Test the CLI."""
+    runner = CliRunner()
+    result = runner.invoke(cli.main)
+    assert result.exit_code == 0
+    assert "cli.main" in result.output
+    help_result = runner.invoke(cli.main, ["--help"])
+    assert help_result.exit_code == 0
+    assert "--help  Show this message and exit." in help_result.output
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 1792a628..726468b4 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -23,23 +23,29 @@ def uniform_points_on_sphere(npoints=1, hemisphere=True, rotate=(0, 0, 0)):
 
     vecs = np.stack([x, y, z])
 
-    rot_x = np.array([
-        [1.0, 0.0, 0.0],
-        [0.0, np.cos(rotate[0]), -np.sin(rotate[0])],
-        [0.0, np.sin(rotate[0]), np.cos(rotate[0])]
-    ])
-
-    rot_y = np.array([
-        [np.cos(rotate[1]), 0.0, np.sin(rotate[1])],
-        [0.0, 1.0, 0.0],
-        [-np.sin(rotate[1]), 0.0, np.cos(rotate[1])]
-    ])
-
-    rot_z = np.array([
-        [np.cos(rotate[2]), -np.sin(rotate[2]), 0.0],
-        [np.sin(rotate[2]), np.cos(rotate[2]), 0.0],
-        [0.0, 0.0, 1.0]
-    ])
+    rot_x = np.array(
+        [
+            [1.0, 0.0, 0.0],
+            [0.0, np.cos(rotate[0]), -np.sin(rotate[0])],
+            [0.0, np.sin(rotate[0]), np.cos(rotate[0])],
+        ]
+    )
+
+    rot_y = np.array(
+        [
+            [np.cos(rotate[1]), 0.0, np.sin(rotate[1])],
+            [0.0, 1.0, 0.0],
+            [-np.sin(rotate[1]), 0.0, np.cos(rotate[1])],
+        ]
+    )
+
+    rot_z = np.array(
+        [
+            [np.cos(rotate[2]), -np.sin(rotate[2]), 0.0],
+            [np.sin(rotate[2]), np.cos(rotate[2]), 0.0],
+            [0.0, 0.0, 1.0],
+        ]
+    )
 
     vecs = np.dot(rot_z, np.dot(rot_y, np.dot(rot_x, vecs)))
 
@@ -50,9 +56,11 @@ def test_is_hemispherical():
     vecs = uniform_points_on_sphere(
         npoints=100,
         hemisphere=True,
-        rotate=(np.random.uniform(0, np.pi),
-                np.random.uniform(0, np.pi),
-                np.random.uniform(0, np.pi))
+        rotate=(
+            np.random.uniform(0, np.pi),
+            np.random.uniform(0, np.pi),
+            np.random.uniform(0, np.pi),
+        ),
     )
 
     assert is_hemispherical(vecs)[0]

From 2956ebd0a22b7e598ecabdde58354f1efb8fc050 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 23 Jul 2019 17:31:49 -0400
Subject: [PATCH 093/156] update ignore nodes with defined options

---
 dmripreproc/cli.py                   | 29 ++++++++-------
 dmripreproc/workflows/dwi/base.py    | 25 +++----------
 dmripreproc/workflows/dwi/dwiprep.py | 53 ++++++++++++----------------
 3 files changed, 43 insertions(+), 64 deletions(-)

diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index 558e9057..6ca5a6e2 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -31,7 +31,7 @@ def __init__(
         eddy_niter,
         bet_dwi,
         bet_mag,
-        ignore_nodes,
+        ignore,
         analysis_level,
         synb0_dir,
         acqp_file,
@@ -43,7 +43,7 @@ def __init__(
         self.subject_list = subject_list
         self.work_dir = work_dir
         self.concat_shells = concat_shells
-        self.ignore_nodes = ignore_nodes
+        self.ignore = ignore
         self.resize_scale = resize_scale
         self.b0_thresh = b0_thresh
         self.bet_dwi = bet_dwi
@@ -88,6 +88,7 @@ def __init__(
 @click.option(
     "--b0_thresh",
     default=5,
+    show_default=True,
     help="Threshold for b0 value",
     type=click.IntRange(min=0, max=10),
 )
@@ -98,6 +99,7 @@ def __init__(
 @click.option(
     "--eddy_niter",
     default=5,
+    show_default=True,
     help="Fixed number of eddy iterations. See "
     "https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide"
     "#A--niter",
@@ -106,6 +108,7 @@ def __init__(
 @click.option(
     "--bet_dwi",
     default=0.3,
+    show_default=True,
     help="Fractional intensity threshold for BET on the DWI. "
     "A higher value will be more strict; it will cut off more "
     "around what it analyzes the brain to be. "
@@ -116,6 +119,7 @@ def __init__(
 @click.option(
     "--bet_mag",
     default=0.3,
+    show_default=True,
     help="Fractional intensity threshold for BET on the magnitude. "
     "A higher value will be more strict; it will cut off more "
     "around what it analyzes the brain to be. "
@@ -132,18 +136,17 @@ def __init__(
 )
 # workflow configuration
 @click.option(
-    "--ignore_nodes",
-    default="r",
-    help="Specify which node(s) to skip during the preprocessing of the dwi."
-    "Example: If you want to skip unring and resize, use '--ignore_nodes ur'."
-    "Options are: \n"
-    "   d: denoise \n"
-    "   u: unring \n"
-    "   r: resize (upsample)",
-    type=str,
+    "--ignore",
+    "-i",
+    default="resample",
+    show_default=True,
+    help="Specify which node(s) to skip during the preprocessing of the dwi.",
+    type=click.Choice(["denoise", "unring", "resample"]),
+    multiple=True,
 )
 @click.option(
     "--work_dir",
+    "-w",
     help="working directory",
     type=click.Path(exists=True, file_okay=False, writable=True),
 )
@@ -166,7 +169,7 @@ def main(
     eddy_niter,
     bet_dwi,
     bet_mag,
-    ignore_nodes,
+    ignore,
     synb0_dir,
     acqp_file,
 ):
@@ -214,7 +217,7 @@ def main(
         eddy_niter=eddy_niter,
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
-        ignore_nodes=ignore_nodes,
+        ignore=ignore,
         analysis_level=analysis_level,
         synb0_dir=synb0_dir,
         acqp_file=acqp_file,
diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
index 50d5d08c..ab692667 100755
--- a/dmripreproc/workflows/dwi/base.py
+++ b/dmripreproc/workflows/dwi/base.py
@@ -1,20 +1,11 @@
 #!/usr/bin/env python
 
-import os
-import multiprocessing
-
-import numpy as np
-import nibabel as nib
+from bids import BIDSLayout
 from nipype.pipeline import engine as pe
 from nipype.interfaces import fsl, utility as niu
-from nipype.utils import NUMPY_MMAP
-from nipype.utils.filemanip import fname_presuffix
-from dipy.segment.mask import median_otsu
 from numba import cuda
-from bids import BIDSLayout
 
-from ...interfaces import mrtrix3
-from ...interfaces import fsl as dmri_fsl
+from ...interfaces import mrtrix3, fsl as dmri_fsl
 from ..fieldmap.base import init_sdc_prep_wf
 from .dwiprep import init_dwiprep_wf
 
@@ -77,14 +68,12 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
     )
 
     # Create the dwi prep workflow
-    dwi_prep_wf = init_dwiprep_wf(parameters.ignore_nodes)
+    dwi_prep_wf = init_dwiprep_wf(parameters.ignore)
 
     def gen_index(in_file):
         import os
         import numpy as np
         import nibabel as nib
-        from nipype.pipeline import engine as pe
-        from nipype.interfaces import fsl, utility as niu
         from nipype.utils import NUMPY_MMAP
         from nipype.utils.filemanip import fname_presuffix
 
@@ -111,8 +100,6 @@ def gen_index(in_file):
 
     def gen_acqparams(in_file, metadata):
         import os
-        import numpy as np
-        import nibabel as nib
         from nipype.utils.filemanip import fname_presuffix
 
         out_file = fname_presuffix(
@@ -162,8 +149,6 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         import os
         import numpy as np
         import nibabel as nib
-        from nipype.pipeline import engine as pe
-        from nipype.interfaces import fsl, utility as niu
         from nipype.utils import NUMPY_MMAP
         from nipype.utils.filemanip import fname_presuffix
 
@@ -210,6 +195,8 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
     )
 
     # if nthreads not specified, do this
+    import multiprocessing
+
     ecc.inputs.num_threads = multiprocessing.cpu_count()
 
     try:
@@ -230,8 +217,6 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
     def get_b0_mask_fn(b0_file):
         import os
         import nibabel as nib
-        from nipype.pipeline import engine as pe
-        from nipype.interfaces import fsl, utility as niu
         from nipype.utils.filemanip import fname_presuffix
         from dipy.segment.mask import median_otsu
 
diff --git a/dmripreproc/workflows/dwi/dwiprep.py b/dmripreproc/workflows/dwi/dwiprep.py
index 8334cbed..fdee55da 100644
--- a/dmripreproc/workflows/dwi/dwiprep.py
+++ b/dmripreproc/workflows/dwi/dwiprep.py
@@ -1,9 +1,10 @@
 #!/usr/bin/env python
 
+
 def init_dwiprep_wf(ignore_nodes):
     from ...interfaces import mrtrix3
     from nipype.pipeline import engine as pe
-    from nipype.interfaces import fsl, utility as niu
+    from nipype.interfaces import utility as niu
 
     # Generate the prep workflow for dwi (denoise, unring, resize)
 
@@ -13,41 +14,39 @@ def init_dwiprep_wf(ignore_nodes):
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
 
-    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="resize")
+    resample = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="resample")
 
     dwi_prep_inputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=["dwi_file"]
-        ),
-        name="dwi_prep_inputnode",
+        niu.IdentityInterface(fields=["dwi_file"]), name="dwi_prep_inputnode"
     )
 
     dwi_prep_outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]),
-        name="dwi_prep_outputnode",
+        niu.IdentityInterface(fields=["out_file"]), name="dwi_prep_outputnode"
     )
 
-    # Turn the string input of nodes into a list
-    ignore_nodes_list = [option.lower() for option in ignore_nodes.strip()]
+    # Turn the click tuple into a list
+    ignore_nodes_list = list(ignore_nodes)
+
+    prep_full = ["denoise", "unring", "resample"]
 
-    prep_full = ['d', 'u', 'r']
-    prep_wanted_str = [node for node in prep_full if not(node in ignore_nodes_list)]
+    prep_wanted_str = [
+        node for node in prep_full if not (node in ignore_nodes_list)
+    ]
 
     # Translate string input to node names
-    str2node = {
-        'd': denoise,
-        'u': unring,
-        'r': resize
-    }
+    str2node = {"denoise": denoise, "unring": unring, "resample": resample}
 
-    # Convert the string list to a node list
     prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
 
     # If no steps selected, just connect input to output
-    if not(prep_wanted):
+    if not (prep_wanted):
         dwi_prep_wf.connect(
             [
-                (dwi_prep_inputnode, dwi_prep_outputnode, [("dwi_file", "out_file")])
+                (
+                    dwi_prep_inputnode,
+                    dwi_prep_outputnode,
+                    [("dwi_file", "out_file")],
+                )
             ]
         )
 
@@ -56,27 +55,19 @@ def init_dwiprep_wf(ignore_nodes):
         # Must at least connect input node to first node
         first_node = prep_wanted[0]
         dwi_prep_wf.connect(
-            [
-                (dwi_prep_inputnode, first_node, [("dwi_file", "in_file")]),
-            ]
+            [(dwi_prep_inputnode, first_node, [("dwi_file", "in_file")])]
         )
         # Loop through the prep order
         # Note: only works if each node has in_file and out_file
         # Can work around this by wrapping in node/workflow with in_file+out_file
         prev = first_node
         for curr_node in prep_wanted[1:]:
-            dwi_prep_wf.connect(
-                [
-                    (prev, curr_node, [("out_file", "in_file")]),
-                ]
-            )
+            dwi_prep_wf.connect([(prev, curr_node, [("out_file", "in_file")])])
             prev = curr_node
         # Connect last node to output node
         last_node = prep_wanted[-1]
         dwi_prep_wf.connect(
-            [
-                (last_node, dwi_prep_outputnode, [("out_file", "out_file")]),
-            ]
+            [(last_node, dwi_prep_outputnode, [("out_file", "out_file")])]
         )
 
     return dwi_prep_wf

From c74e040c1f85766667e263c9afce5eafdb26e1b4 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 23 Jul 2019 17:34:38 -0400
Subject: [PATCH 094/156] remove tensor.py and add tbss (wip)

---
 dmripreproc/workflows/dwi/tbss.py   | 32 +++++++++++++++++++++++++++++
 dmripreproc/workflows/dwi/tensor.py |  0
 2 files changed, 32 insertions(+)
 create mode 100644 dmripreproc/workflows/dwi/tbss.py
 delete mode 100644 dmripreproc/workflows/dwi/tensor.py

diff --git a/dmripreproc/workflows/dwi/tbss.py b/dmripreproc/workflows/dwi/tbss.py
new file mode 100644
index 00000000..39538b64
--- /dev/null
+++ b/dmripreproc/workflows/dwi/tbss.py
@@ -0,0 +1,32 @@
+#!/usr/bin/env Python
+
+# https://github.com/Conxz/BIT/blob/1ee7bbff345aba9d53b1349290f9fbdcbad1c3d0/bit/tbss_4steps_NKI.py
+
+import os
+
+from nipype.interfaces import io as nio, fsl, utility as niu
+from nipype.pipeline import engine as pe
+from nipype.workflows.dmri.fsl import tbss
+
+def init_tbss_wf():
+
+    def get_fa_list(subject_list):
+        fa_list = []
+        for subject_id in subject_list:
+            fa_list.append(os.path.join(subject_id+'_FA'))
+        return fa_list
+
+    tbss_source = pe.Node(interface=nio.DataGrabber(outfiles=["fa_list"]), name="tbss_source")
+    tbss_source.inputs.base_directory = os.path.abspath(sessdir)
+    tbss_source.inputs.sort_filelist = True
+    tbss_source.inputs.template = '%s.nii.gz'
+    tbss_source.inputs.template_args = dict(fa_list=[[getFAList(subject_list)]])
+
+    tbss1 = tbss.create_tbss_1_preproc(name="tbss1")
+
+    tbss2 = tbss.create_tbss_2_reg(name="tbss2")
+    tbss2.inputs.inputnode.target = fsl.Info.standard_image("FMRIB58_FA_1mm.nii.gz")
+
+    tbss3 = tbss.create_tbss_3_postreg(name="tbss3", estimate_skeleton=True)
+
+    tbss4 = tbss.create_tbss_4_prestats(name="tbss4")
diff --git a/dmripreproc/workflows/dwi/tensor.py b/dmripreproc/workflows/dwi/tensor.py
deleted file mode 100644
index e69de29b..00000000

From 60e49245dc87b4164913b45906e50a7e96533eda Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 24 Jul 2019 15:27:56 -0400
Subject: [PATCH 095/156] updating eddy spec (wip)

---
 dmripreproc/cli.py                |  10 +-
 dmripreproc/interfaces/fsl.py     | 271 ++++++++++++++++++++++--------
 dmripreproc/workflows/dwi/base.py |   2 +-
 3 files changed, 208 insertions(+), 75 deletions(-)

diff --git a/dmripreproc/cli.py b/dmripreproc/cli.py
index 6ca5a6e2..7f334827 100644
--- a/dmripreproc/cli.py
+++ b/dmripreproc/cli.py
@@ -111,9 +111,7 @@ def __init__(
     show_default=True,
     help="Fractional intensity threshold for BET on the DWI. "
     "A higher value will be more strict; it will cut off more "
-    "around what it analyzes the brain to be. "
-    "If this parameter is not provided a default of 0.3 will "
-    "be used.",
+    "around what it analyzes the brain to be.",
     type=click.FloatRange(min=0, max=1),
 )
 @click.option(
@@ -122,9 +120,7 @@ def __init__(
     show_default=True,
     help="Fractional intensity threshold for BET on the magnitude. "
     "A higher value will be more strict; it will cut off more "
-    "around what it analyzes the brain to be. "
-    "If this parameter is not provided a default of 0.3 will "
-    "be used.",
+    "around what it analyzes the brain to be.",
     type=click.FloatRange(min=0, max=1),
 )
 @click.option(
@@ -138,8 +134,6 @@ def __init__(
 @click.option(
     "--ignore",
     "-i",
-    default="resample",
-    show_default=True,
     help="Specify which node(s) to skip during the preprocessing of the dwi.",
     type=click.Choice(["denoise", "unring", "resample"]),
     multiple=True,
diff --git a/dmripreproc/interfaces/fsl.py b/dmripreproc/interfaces/fsl.py
index b21265d5..b9c9c1ef 100644
--- a/dmripreproc/interfaces/fsl.py
+++ b/dmripreproc/interfaces/fsl.py
@@ -28,6 +28,12 @@ class EddyInputSpec(FSLCommandInputSpec):
         argstr="--mask=%s",
         desc="Mask to indicate brain",
     )
+    in_acqp = File(
+        exists=True,
+        mandatory=True,
+        argstr="--acqp=%s",
+        desc="File containing acquisition parameters",
+    )
     in_index = File(
         exists=True,
         mandatory=True,
@@ -37,11 +43,10 @@ class EddyInputSpec(FSLCommandInputSpec):
             "into --acqp and --topup"
         ),
     )
-    in_acqp = File(
+    session = File(
         exists=True,
-        mandatory=True,
-        argstr="--acqp=%s",
-        desc="File containing acquisition parameters",
+        argstr="--session=%s",
+        desc=("File containing session indices for all volumes in " "--imain"),
     )
     in_bvec = File(
         exists=True,
@@ -55,19 +60,8 @@ class EddyInputSpec(FSLCommandInputSpec):
         argstr="--bvals=%s",
         desc=("File containing the b-values for all volumes in " "--imain"),
     )
-    out_base = traits.Str(
-        "eddy_corrected",
-        argstr="--out=%s",
-        usedefault=True,
-        desc=("basename for output (warped) image"),
-    )
-    session = File(
-        exists=True,
-        argstr="--session=%s",
-        desc=("File containing session indices for all volumes in " "--imain"),
-    )
     in_topup_fieldcoef = File(
-        # exists=True,
+        exists=True,
         argstr="--topup=%s",
         requires=["in_topup_movpar"],
         desc=("topup file containing the field " "coefficients"),
@@ -77,15 +71,83 @@ class EddyInputSpec(FSLCommandInputSpec):
         requires=["in_topup_fieldcoef"],
         desc="topup movpar.txt file",
     )
-
+    field = traits.Str(
+        argstr="--field=%s",
+        desc="NonTOPUP fieldmap scaled in Hz - filename has "
+        "to be provided without an extension. TOPUP is "
+        "strongly recommended",
+        min_ver="5.0.10",
+    )
+    field_mat = File(
+        exists=True,
+        argstr="--field_mat=%s",
+        desc="Matrix that specifies the relative locations of "
+        "the field specified by --field and first volume "
+        "in file --imain",
+        min_ver="5.0.10",
+    )
+    out_base = traits.Str(
+        "eddy_corrected",
+        argstr="--out=%s",
+        usedefault=True,
+        desc=("basename for output (warped) image"),
+    )
+    mb = traits.Int(
+        argstr="--mb=%s", desc="Multi-band factor", min_ver="5.0.10"
+    )
+    mb_offs = traits.Enum(
+        -1,
+        1,
+        argstr="--mb_offs=%s",
+        desc="Multi-band offset (-1 if bottom slice removed, 1 if top slice removed",
+        requires=["mb"],
+        min_ver="5.0.10",
+    )
+    slspec = traits.File(
+        argstr="--slspec=%s",
+        desc="Name of text file completely specifying slice/group acquisition",
+        xor=["json"],
+        min_ver="5.0.11",
+    )
+    json = traits.File(
+        argstr="--json=%s",
+        desc="Name of .json text file with information about slice timing",
+        xor=["slspec"],
+        min_ver="6.0.1",
+    )
+    mporder = traits.Int(
+        argstr="--mporder=%s",
+        desc="Order of slice-to-vol movement model",
+        requires=["slspec"],
+        min_ver="5.0.11",
+    )
+    s2v_lambda = traits.Int(
+        1,
+        usedefault=True,
+        agstr="--s2v_lambda",
+        desc="Regularisation weight for slice-to-vol movement (reasonable range 1-10)",
+        requires=["slspec"],
+        min_ver="5.0.11",
+    )
     flm = traits.Enum(
+        "quadratic",
         "linear",
+        "cubic",
+        use_default=True,
+        argstr="--flm=%s",
+        desc="First level EC model",
+        max_ver="5.0.10",
+    )
+    new_flm = traits.Enum(
         "quadratic",
+        "movement",
+        "linear",
         "cubic",
+        use_default=True,
         argstr="--flm=%s",
         desc="First level EC model",
+        min_ver="5.0.11",
     )
-
     slm = traits.Enum(
         "none",
         "linear",
@@ -93,32 +155,148 @@ class EddyInputSpec(FSLCommandInputSpec):
         argstr="--slm=%s",
         desc="Second level EC model",
     )
-
+    fwhm = traits.Float(
+        argstr="--fwhm=%s",
+        desc=(
+            "FWHM for conditioning filter when estimating " "the parameters"
+        ),
+    )
+    niter = traits.Int(
+        5, usedefault=True, argstr="--niter=%s", desc="Number of iterations"
+    )
+    s2v_niter = traits.Int(
+        5,
+        usedefault=True,
+        argstr="--s2v_niter=%s",
+        desc="Number of iterations for slice-to-vol",
+        requires=["slspec"],
+        min_ver="5.0.11",
+    )
+    cnr_maps = traits.Bool(
+        False, desc="Output CNR-Maps", argstr="--cnr_maps", min_ver="5.0.10"
+    )
+    residuals = traits.Bool(
+        False, desc="Output Residuals", argstr="--residuals", min_ver="5.0.10"
+    )
     fep = traits.Bool(
         False, argstr="--fep", desc="Fill empty planes in x- or y-directions"
     )
-
     interp = traits.Enum(
         "spline",
         "trilinear",
+        use_default=True,
         argstr="--interp=%s",
         desc="Interpolation model for estimation step",
     )
-
+    s2v_interp = traits.Enum(
+        "trilinear",
+        "spline",
+        use_default=True,
+        argstr="--s2v_interp=%s",
+        desc="Slice-to-vol interpolation model for estimation step",
+        requires=["slspec"],
+        min_ver="5.0.11",
+    )
+    method = traits.Enum(
+        "jac",
+        "lsr",
+        use_default=True,
+        argstr="--resamp=%s",
+        desc=("Final resampling method (jacobian/least " "squares)"),
+    )
     nvoxhp = traits.Int(
         1000,
         usedefault=True,
         argstr="--nvoxhp=%s",
         desc=("# of voxels used to estimate the " "hyperparameters"),
     )
-
+    initrand = traits.Bool(
+        False,
+        argstr="--initrand",
+        desc="Resets rand for when selecting voxels",
+        min_ver="5.0.10",
+    )
     fudge_factor = traits.Float(
         10.0,
         usedefault=True,
         argstr="--ff=%s",
         desc=("Fudge factor for hyperparameter " "error variance"),
     )
-
+    repol = traits.Bool(
+        False,
+        argstr="--repol",
+        desc="Detect and replace outlier slices",
+        min_ver="5.0.10",
+    )
+    outlier_nstd = traits.Int(
+        4,
+        usedefault=True,
+        argstr="--ol_nstd",
+        desc="Number of std off to qualify as outlier",
+        requires=["repol"],
+        min_ver="5.0.10",
+    )
+    outlier_nvox = traits.Int(
+        250,
+        usedefault=True,
+        argstr="--ol_nvox",
+        desc="Min # of voxels in a slice for inclusion in outlier detection",
+        requires=["repol"],
+        min_ver="5.0.10",
+    )
+    outlier_type = traits.Enum(
+        "sw",
+        "gw",
+        "both",
+        argstr="--ol_type",
+        desc="Type of outliers, slicewise (sw), groupwise (gw) or both (both)",
+        requires=["repol"],
+        min_ver="5.0.10",
+    )
+    outlier_pos = traits.Bool(
+        False,
+        argstr="--ol_pos",
+        desc="Consider both positive and negative outliers if set",
+        requires=["repol"],
+        min_ver="5.0.10",
+    )
+    outlier_sqr = traits.Bool(
+        False,
+        argstr="--ol_sqr",
+        desc="Consider outliers among sums-of-squared differences if set",
+        requires=["repol"],
+        min_ver="5.0.10",
+    )
+    estimate_move_by_susceptibility = traits.Bool(
+        False,
+        argstr="--estimate_move_by_susceptibility",
+        desc="Estimate how susceptibility field changes with subject movement",
+        min_ver="6.0.1",
+    )
+    mbs_niter = traits.Int(
+        10,
+        use_default=True,
+        argstr="--mbs_niter=%s",
+        desc="Number of iterations for MBS estimation",
+        requires=["estimate_move_by_susceptibility"],
+        min_ver="6.0.1",
+    )
+    mbs_lambda = traits.int(
+        10,
+        use_default=True,
+        argstr="--mbs_lambda=%s",
+        desc="Weighting of regularisation for MBS estimation",
+        requires=["estimate_move_by_susceptibility"],
+        min_ver="6.0.1",
+    )
+    mbs_ksp = traits.Int(
+        10,
+        use_default=True,
+        argstr="--mbs_ksp=%smm",
+        desc="Knot-spacing for MBS field estimation",
+        requires=["estimate_move_by_susceptibility"],
+        min_ver="6.0.1",
+    )
     dont_sep_offs_move = traits.Bool(
         False,
         argstr="--dont_sep_offs_move",
@@ -128,63 +306,24 @@ class EddyInputSpec(FSLCommandInputSpec):
             "movement"
         ),
     )
-
     dont_peas = traits.Bool(
         False,
         argstr="--dont_peas",
         desc="Do NOT perform a post-eddy alignment of " "shells",
     )
-
-    fwhm = traits.Float(
-        desc=(
-            "FWHM for conditioning filter when estimating " "the parameters"
-        ),
-        argstr="--fwhm=%s",
-    )
-
-    niter = traits.Int(
-        5, usedefault=True, argstr="--niter=%s", desc="Number of iterations"
-    )
-
-    method = traits.Enum(
-        "jac",
-        "lsr",
-        argstr="--resamp=%s",
-        desc=("Final resampling method (jacobian/least " "squares)"),
-    )
-    repol = traits.Bool(
-        False, argstr="--repol", desc="Detect and replace outlier slices"
-    )
-    num_threads = traits.Int(
-        1, usedefault=True, nohash=True, desc="Number of openmp threads to use"
-    )
     is_shelled = traits.Bool(
         False,
         argstr="--data_is_shelled",
         desc="Override internal check to ensure that "
         "date are acquired on a set of b-value "
         "shells",
+        min_ver="5.0.10",
     )
-    field = traits.Str(
-        argstr="--field=%s",
-        desc="NonTOPUP fieldmap scaled in Hz - filename has "
-        "to be provided without an extension. TOPUP is "
-        "strongly recommended",
-    )
-    field_mat = File(
-        exists=True,
-        argstr="--field_mat=%s",
-        desc="Matrix that specifies the relative locations of "
-        "the field specified by --field and first volume "
-        "in file --imain",
+
+    num_threads = traits.Int(
+        1, usedefault=True, nohash=True, desc="Number of openmp threads to use"
     )
     use_cuda = traits.Bool(False, desc="Run eddy using cuda gpu")
-    cnr_maps = traits.Bool(
-        False, desc="Output CNR-Maps", argstr="--cnr_maps", min_ver="5.0.10"
-    )
-    residuals = traits.Bool(
-        False, desc="Output Residuals", argstr="--residuals", min_ver="5.0.10"
-    )
 
 
 class EddyOutputSpec(TraitedSpec):
diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
index ab692667..ccdc3332 100755
--- a/dmripreproc/workflows/dwi/base.py
+++ b/dmripreproc/workflows/dwi/base.py
@@ -190,7 +190,7 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
     # mrtrix3.MaskFilter
 
     ecc = pe.Node(
-        dmri_fsl.Eddy(repol=True, cnr_maps=True, residuals=True, method="jac"),
+        dmri_fsl.Eddy(repol=True, cnr_maps=True, residuals=True),
         name="fsl_eddy",
     )
 

From 836c6a3909ab35b9028d98cb5c0164b9412f92a5 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 25 Jul 2019 17:34:43 -0400
Subject: [PATCH 096/156] remove notebooks

---
 notebooks/acq_param_testing.ipynb | 125 ----
 notebooks/fmap_testing.ipynb      | 618 --------------------
 notebooks/make_qc.ipynb           | 395 -------------
 notebooks/slice_timing.ipynb      | 939 ------------------------------
 notebooks/test_wf.ipynb           | 348 -----------
 5 files changed, 2425 deletions(-)
 delete mode 100644 notebooks/acq_param_testing.ipynb
 delete mode 100644 notebooks/fmap_testing.ipynb
 delete mode 100644 notebooks/make_qc.ipynb
 delete mode 100644 notebooks/slice_timing.ipynb
 delete mode 100644 notebooks/test_wf.ipynb

diff --git a/notebooks/acq_param_testing.ipynb b/notebooks/acq_param_testing.ipynb
deleted file mode 100644
index 73a54760..00000000
--- a/notebooks/acq_param_testing.ipynb
+++ /dev/null
@@ -1,125 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "base_dir = \"/projects/mjoseph/pipelines/testing/data\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "- GE/Philips: EchoTrainLength it will be Echo train length/PE steps  \n",
-    "- SIEMENS: EPIFactor \n",
-    "acquisition direction A>>P or P>>A"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "total_readout_time = 1 / PE bandwidth  \n",
-    "effective echo spacing = 1 / (PE bandwidth * (ETL - 1) * acc factor)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "- echo spacing = .53ms\n",
-    "- number of in plane lines in the reconstructed epi image = 64\n",
-    "- acceleration factor = 2\n",
-    "- number of in plane reference lines = 24\n",
-    "\n",
-    "My questions: \n",
-    "What do I have to enter as the echo spacing for b0 field unwarping with \n",
-    "feat/fugue?\n",
-    "(a) .53ms/2 (echo_spacing*#lines_in_images / acceleration factor) \n",
-    "(b) .53*64/(32+24) (echo_spacing*#lines_in_images/(#lines_in_images + \n",
-    "#reference_lines))\n",
-    "(c) something else ..."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from bids import BIDSLayout\n",
-    "\n",
-    "layout = BIDSLayout(base_dir)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dwi_file = \"{}/sub-CMP0178/ses-01/dwi/sub-CMP0178_ses-01_acq-singleshell_dwi.nii.gz\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "metadata = layout.get_metadata(dwi_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{}"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metadata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "dmriprep_venv",
-   "language": "python",
-   "name": "dmriprep_venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/notebooks/fmap_testing.ipynb b/notebooks/fmap_testing.ipynb
deleted file mode 100644
index ff9defb2..00000000
--- a/notebooks/fmap_testing.ipynb
+++ /dev/null
@@ -1,618 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "https://fmriprep.readthedocs.io/en/0.5.0/sdc/estimation.html"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "\n",
-    "from bids import BIDSLayout"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "base_dir = os.path.abspath(\"data\")\n",
-    "output_dir = os.path.abspath(\"outputs\")\n",
-    "\n",
-    "layout = BIDSLayout(base_dir)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def get_fmaps(dwi_file):\n",
-    "    dwi_metadata = layout.get_metadata(dwi_file)\n",
-    "    fmaps = []\n",
-    "    fmaps = layout.get_fieldmap(dwi_file, return_list=True)\n",
-    "    if not fmaps:\n",
-    "        print(\"No fmaps found\")\n",
-    "    for fmap in fmaps:\n",
-    "        if fmap[\"suffix\"] == \"phase\":\n",
-    "            fmap[\"metadata\"] = {}\n",
-    "            fmap[\"metadata\"][\"phase1\"] = layout.get_metadata(fmap[\"phase1\"])\n",
-    "            fmap[\"metadata\"][\"phase2\"] = layout.get_metadata(fmap[\"phase2\"])\n",
-    "        else:\n",
-    "            fmap[\"metadata\"] = layout.get_metadata(fmap[fmap[\"suffix\"]])\n",
-    "    \n",
-    "    FMAP_PRIORITY = {\"epi\": 0, \"fieldmap\": 1, \"phasediff\": 2, \"phase\": 3, \"syn\": 4}\n",
-    "    \n",
-    "    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap[\"suffix\"]])\n",
-    "    \n",
-    "    return fmaps"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Topup"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/bids/layout/layout.py:659: UserWarning: In pybids 0.9.0, the 'extensions' filter was deprecated in favor of 'extension'. The former will stop working in 0.11.0.\n",
-      "  warnings.warn(\"In pybids 0.9.0, the 'extensions' filter was \"\n"
-     ]
-    }
-   ],
-   "source": [
-    "subject_id = \"NDARAJ366ZFA\"\n",
-    "dwi_files = layout.get(subject=subject_id, datatype=\"dwi\", suffix=\"dwi\", extensions=[\".nii\", \".nii.gz\"], return_type=\"filename\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for dwi_file in dwi_files:\n",
-    "    dwi_metadata = layout.get_metadata(dwi_file)\n",
-    "    fmaps = get_fmaps(dwi_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fmap = fmaps[0]\n",
-    "if fmap[\"suffix\"] == \"epi\":\n",
-    "    epi_fmaps = [(fmap_['epi'], fmap_['metadata'][\"PhaseEncodingDirection\"]) for fmap_ in fmaps if fmap_['suffix'] == 'epi']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dwi_file_pe = dwi_metadata[\"PhaseEncodingDirection\"]\n",
-    "\n",
-    "usable_fieldmaps_matching_pe = []\n",
-    "usable_fieldmaps_opposite_pe = []\n",
-    "\n",
-    "for fmap, pe_dir in epi_fmaps:\n",
-    "    if pe_dir == dwi_file_pe:\n",
-    "        usable_fieldmaps_matching_pe.append(fmap)\n",
-    "    elif pe_dir[0] == dwi_file_pe[0]:\n",
-    "        usable_fieldmaps_opposite_pe.append(fmap)\n",
-    "    \n",
-    "if not usable_fieldmaps_opposite_pe:\n",
-    "    print(\"Can't use topup\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from nipype.pipeline import engine as pe\n",
-    "from nipype.interfaces import fsl, utility as niu\n",
-    "\n",
-    "def init_topup_wf(epi_fmaps):\n",
-    "    \n",
-    "    PE_DIRECTION_MAPPING = {\n",
-    "    \"i\" : \"x\",\n",
-    "    \"i-\": \"x-\",\n",
-    "    \"j\" : \"y\",\n",
-    "    \"j-\" : \"y-\",\n",
-    "    \"k\" : \"z\",\n",
-    "    \"k-\" : \"z-\"\n",
-    "    }\n",
-    "    \n",
-    "    epi_file = epi_fmaps[0][0]\n",
-    "    epi_dir = PE_DIRECTION_MAPPING[epi_fmaps[0][1]]\n",
-    "    altepi_file = epi_fmaps[1][0]\n",
-    "    altepi_dir = PE_DIRECTION_MAPPING[epi_fmaps[1][1]]\n",
-    "    \n",
-    "    wf = pe.Workflow(name=\"topup_wf\")\n",
-    "        \n",
-    "    inputnode = pe.Node(\n",
-    "        niu.IdentityInterface(fields=[\"epi_file\", \"altepi_file\"]),\n",
-    "        name=\"inputnode\")    \n",
-    "    inputnode.epi_file = epi_file\n",
-    "    inputnode.altepi_file = altepi_file\n",
-    "    \n",
-    "    outputnode = pe.Node(\n",
-    "        niu.IdentityInterface(fields=[\"out_fmap\"]),\n",
-    "        name=\"outputnode\")\n",
-    "    \n",
-    "    list_merge = pe.Node(niu.Merge(numinputs=2), name=\"list_merge\")\n",
-    "    \n",
-    "    merge = pe.Node(fsl.Merge(dimension=\"t\"), name=\"mergeAPPA\")\n",
-    "        \n",
-    "    topup = pe.Node(fsl.TOPUP(), name=\"topup\")\n",
-    "    topup.inputs.encoding_direction = [epi_dir, altepi_dir]\n",
-    "    topup.inputs.readout_times = [0.05, 0.05]\n",
-    "    \n",
-    "    wf.connect(\n",
-    "        [\n",
-    "            (\n",
-    "                inputnode,\n",
-    "                list_merge,\n",
-    "                [(\"epi_file\", \"in1\"), (\"altepi_file\", \"in2\")]\n",
-    "            ),\n",
-    "            (list_merge, merge, [(\"out\", \"in_files\")]),\n",
-    "            (merge, topup, [(\"merged_file\", \"in_file\")]),\n",
-    "            (topup, outputnode, [(\"out_field\", \"out_fmap\")]),\n",
-    "        ]\n",
-    "    )\n",
-    "    \n",
-    "    return wf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "190708-19:55:05,845 nipype.workflow INFO:\n",
-      "\t Workflow topup_wf settings: ['check', 'execution', 'logging', 'monitoring']\n",
-      "190708-19:55:05,931 nipype.workflow INFO:\n",
-      "\t Running serially.\n",
-      "190708-19:55:05,933 nipype.workflow INFO:\n",
-      "\t [Node] Setting-up \"topup_wf.list_merge\" in \"/Users/Michael/projects/pipelines/dmripreproc/notebooks/outputs/topup_wf/list_merge\".\n",
-      "190708-19:55:05,943 nipype.workflow INFO:\n",
-      "\t [Node] Running \"list_merge\" (\"nipype.interfaces.utility.base.Merge\")\n",
-      "190708-19:55:06,71 nipype.workflow INFO:\n",
-      "\t [Node] Finished \"topup_wf.list_merge\".\n",
-      "190708-19:55:06,73 nipype.workflow INFO:\n",
-      "\t [Node] Setting-up \"topup_wf.mergeAPPA\" in \"/Users/Michael/projects/pipelines/dmripreproc/notebooks/outputs/topup_wf/mergeAPPA\".\n",
-      "190708-19:55:06,80 nipype.workflow WARNING:\n",
-      "\t [Node] Error on \"topup_wf.mergeAPPA\" (/Users/Michael/projects/pipelines/dmripreproc/notebooks/outputs/topup_wf/mergeAPPA)\n",
-      "190708-19:55:06,86 nipype.workflow ERROR:\n",
-      "\t Node mergeAPPA failed to run on host Michaels-iMac.local.\n",
-      "190708-19:55:06,209 nipype.workflow ERROR:\n",
-      "\t Saving crash info to /Users/Michael/projects/pipelines/dmripreproc/notebooks/crash-20190708-195506-Michael-mergeAPPA-ce285b5c-427d-40a6-81d3-1f832935f05c.pklz\n",
-      "Traceback (most recent call last):\n",
-      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/plugins/linear.py\", line 48, in run\n",
-      "    node.run(updatehash=updatehash)\n",
-      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/nodes.py\", line 472, in run\n",
-      "    result = self._run_interface(execute=True)\n",
-      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/nodes.py\", line 563, in _run_interface\n",
-      "    return self._run_command(execute)\n",
-      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/nodes.py\", line 631, in _run_command\n",
-      "    cmd = self._interface.cmdline\n",
-      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/interfaces/base/core.py\", line 674, in cmdline\n",
-      "    allargs = [self._cmd_prefix + self.cmd] + self._parse_inputs()\n",
-      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/interfaces/base/core.py\", line 916, in _parse_inputs\n",
-      "    value = self._filename_from_source(name)\n",
-      "  File \"/Users/Michael/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/interfaces/base/core.py\", line 845, in _filename_from_source\n",
-      "    source = source[0]\n",
-      "IndexError: list index out of range\n",
-      "\n",
-      "190708-19:55:06,211 nipype.workflow INFO:\n",
-      "\t ***********************************\n",
-      "190708-19:55:06,212 nipype.workflow ERROR:\n",
-      "\t could not run node: topup_wf.mergeAPPA\n",
-      "190708-19:55:06,213 nipype.workflow INFO:\n",
-      "\t crashfile: /Users/Michael/projects/pipelines/dmripreproc/notebooks/crash-20190708-195506-Michael-mergeAPPA-ce285b5c-427d-40a6-81d3-1f832935f05c.pklz\n",
-      "190708-19:55:06,214 nipype.workflow INFO:\n",
-      "\t ***********************************\n"
-     ]
-    },
-    {
-     "ename": "RuntimeError",
-     "evalue": "Workflow did not execute cleanly. Check log for details",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRuntimeError\u001b[0m                  Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-25-74b30af2c8e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mtopup_wf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minit_topup_wf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mepi_fmaps\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtopup_wf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase_dir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput_dir\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mtopup_wf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/engine/workflows.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, plugin, plugin_args, updatehash)\u001b[0m\n\u001b[1;32m    597\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mstr2bool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'execution'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'create_report'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    598\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_write_report_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexecgraph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 599\u001b[0;31m         \u001b[0mrunner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexecgraph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mupdatehash\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mupdatehash\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    600\u001b[0m         \u001b[0mdatestr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutcnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstrftime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'%Y%m%dT%H%M%S'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    601\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mstr2bool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'execution'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'write_provenance'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/plugins/linear.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, graph, config, updatehash)\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m         \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mold_wd\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# Return wherever we were before\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m         \u001b[0mreport_nodes_not_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnotrun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/.pyenv/versions/dwi_venv/lib/python3.7/site-packages/nipype/pipeline/plugins/tools.py\u001b[0m in \u001b[0;36mreport_nodes_not_run\u001b[0;34m(notrun)\u001b[0m\n\u001b[1;32m     80\u001b[0m                 \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     81\u001b[0m         \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"***********************************\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 82\u001b[0;31m         raise RuntimeError(('Workflow did not execute cleanly. '\n\u001b[0m\u001b[1;32m     83\u001b[0m                             'Check log for details'))\n\u001b[1;32m     84\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mRuntimeError\u001b[0m: Workflow did not execute cleanly. Check log for details"
-     ]
-    }
-   ],
-   "source": [
-    "topup_wf = init_topup_wf(epi_fmaps)\n",
-    "topup_wf.base_dir = output_dir\n",
-    "topup_wf.run()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "if using single dwi image, both dwi images or synthetic b0, must register both images before fslmerge"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Topup using dwi image"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Topup using synthetic b0"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Phasediff"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 116,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "subject_id = \"CMP0178\"\n",
-    "dwi_files = layout.get(subject=subject_id, datatype=\"dwi\", suffix=\"dwi\", extensions=[\".nii\", \".nii.gz\"], return_type=\"filename\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 117,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for dwi_file in dwi_files:\n",
-    "    fmaps = get_fmaps(dwi_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 118,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fmap = fmaps[0]\n",
-    "if fmap[\"suffix\"] == \"phasediff\":\n",
-    "    phasediff_file = fmap[\"phasediff\"]\n",
-    "    phasediff_metadata = fmap[\"metadata\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Phase"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 119,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "subject_id = \"ZHP0130\"\n",
-    "dwi_files = layout.get(subject=subject_id, datatype=\"dwi\", suffix=\"dwi\", extensions=[\".nii\", \".nii.gz\"], return_type=\"filename\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 120,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for dwi_file in dwi_files:\n",
-    "    fmaps = get_fmaps(dwi_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 105,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'phase1': {'AcquisitionMatrixPE': 64, 'AcquisitionNumber': 1, 'AcquisitionTime': '06:05:0.000000', 'BaseResolution': 64, 'BodyPartExamined': 'BRAIN', 'ConsistencyInfo': 'N4_VE11B_LATEST_20150530', 'ConversionSoftware': 'dcm2niix', 'ConversionSoftwareVersion': 'v1.0.20180622 (JP2:OpenJPEG) (JP-LS:CharLS) GCC5.5.0', 'DeviceSerialNumber': '66106', 'DwellTime': 1.61e-05, 'EchoTime': 0.0065, 'FlipAngle': 60, 'ImageOrientationPatientDICOM': [0.998672, 0.040619, 0.0316926, -0.0416821, 0.998565, 0.0336378], 'ImageType': ['ORIGINAL', 'PRIMARY', 'P', 'ND'], 'InPlanePhaseEncodingDirectionDICOM': 'COL', 'InstitutionAddress': 'Community_Drive_300_Manhasset_NYC_US_11030', 'InstitutionalDepartmentName': 'RADIOLOGY', 'IntendedFor': ['ses-01/dwi/sub-ZHP0130_ses-01_acq-ZHP601000_run-01_dwi.nii.gz'], 'MRAcquisitionType': '2D', 'MagneticFieldStrength': 3, 'Manufacturer': 'Siemens', 'ManufacturersModelName': 'Prisma', 'Modality': 'MR', 'PartialFourier': 1, 'PatientPosition': 'HFS', 'PercentPhaseFOV': 100, 'PhaseEncodingDirection': 'j-', 'PhaseEncodingSteps': 64, 'PhaseResolution': 1, 'PixelBandwidth': 485, 'ProcedureStepDescription': 'MR_BRAIN', 'ProtocolName': 'field_map_TE=6.5ms', 'PulseSequenceDetails': '%SiemensSeq%_gre', 'ReceiveCoilActiveElements': 'HC1-7', 'ReceiveCoilName': 'HeadNeck_64', 'ReconMatrixPE': 64, 'RepetitionTime': 1.06, 'SAR': 0.122978, 'ScanOptions': 'FS', 'ScanningSequence': 'GR', 'SequenceName': '_fl2d1', 'SequenceVariant': 'SP', 'SeriesDescription': 'field_map_TE=6.5ms', 'SeriesNumber': 17, 'ShimSetting': [-1322, -10948, 554, 258, -169, -237, 5, -7], 'SliceThickness': 4, 'SoftwareVersions': 'syngo_MR_E11', 'SpacingBetweenSlices': 4, 'StationName': 'MHMRSIEM3T', 'TxRefAmp': 286.233}, 'phase2': {'AcquisitionMatrixPE': 64, 'AcquisitionNumber': 1, 'AcquisitionTime': '06:05:0.000000', 'BaseResolution': 64, 'BodyPartExamined': 'BRAIN', 'ConsistencyInfo': 'N4_VE11B_LATEST_20150530', 'ConversionSoftware': 'dcm2niix', 'ConversionSoftwareVersion': 'v1.0.20180622 (JP2:OpenJPEG) (JP-LS:CharLS) GCC5.5.0', 'DeviceSerialNumber': '66106', 'DwellTime': 1.61e-05, 'EchoTime': 0.0085, 'FlipAngle': 60, 'ImageOrientationPatientDICOM': [0.998672, 0.040619, 0.0316926, -0.0416821, 0.998565, 0.0336378], 'ImageType': ['ORIGINAL', 'PRIMARY', 'P', 'ND'], 'InPlanePhaseEncodingDirectionDICOM': 'COL', 'InstitutionAddress': 'Community_Drive_300_Manhasset_NYC_US_11030', 'InstitutionalDepartmentName': 'RADIOLOGY', 'IntendedFor': ['ses-01/dwi/sub-ZHP0130_ses-01_acq-ZHP601000_run-01_dwi.nii.gz'], 'MRAcquisitionType': '2D', 'MagneticFieldStrength': 3, 'Manufacturer': 'Siemens', 'ManufacturersModelName': 'Prisma', 'Modality': 'MR', 'PartialFourier': 1, 'PatientPosition': 'HFS', 'PercentPhaseFOV': 100, 'PhaseEncodingDirection': 'j-', 'PhaseEncodingSteps': 64, 'PhaseResolution': 1, 'PixelBandwidth': 485, 'ProcedureStepDescription': 'MR_BRAIN', 'ProtocolName': 'field_map_TE=8.5ms', 'PulseSequenceDetails': '%SiemensSeq%_gre', 'ReceiveCoilActiveElements': 'HC1-7', 'ReceiveCoilName': 'HeadNeck_64', 'ReconMatrixPE': 64, 'RepetitionTime': 1.06, 'SAR': 0.122978, 'ScanOptions': 'FS', 'ScanningSequence': 'GR', 'SequenceName': '_fl2d1', 'SequenceVariant': 'SP', 'SeriesDescription': 'field_map_TE=8.5ms', 'SeriesNumber': 19, 'ShimSetting': [-1322, -10948, 554, 258, -169, -237, 5, -7], 'SliceThickness': 4, 'SoftwareVersions': 'syngo_MR_E11', 'SpacingBetweenSlices': 4, 'StationName': 'MHMRSIEM3T', 'TxRefAmp': 286.233}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "fmap = fmaps[0]\n",
-    "if fmap[\"suffix\"] == \"phase\":\n",
-    "    phase1_file = fmap"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Fieldmap"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def to_rads(in_file, out_file):\n",
-    "    from math import pi\n",
-    "    import nibabel as nib\n",
-    "    \n",
-    "    fmap_img = nib.load(in_file)\n",
-    "    fmap_data = fmap_img.get_data()\n",
-    "    \n",
-    "    fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
-    "    \n",
-    "    fmap_data = fmap_data * (pi / fmap_range)\n",
-    "    \n",
-    "    out_img = nib.Nifti1Image(fmap_data, fmap_img.affine, fmap_img.header)\n",
-    "    out_img.set_data_dtype('float32')\n",
-    "    out_img.to_filename(out_file)\n",
-    "    \n",
-    "    return out_file, fmap_range"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def to_hz(in_file, range_hz, out_file):\n",
-    "    from math import pi\n",
-    "    import nibabel as nib\n",
-    "    \n",
-    "    fmap_img = nib.load(in_file)\n",
-    "    fmap_data = fmap_img.get_data()\n",
-    "    \n",
-    "    fmap_data = fmap_data * (range_hz / pi)\n",
-    "    out_img = nib.Nifti1Image(fmap_data, fmap_img.affine, fmap_img.header)\n",
-    "    out_img.set_data_dtype('float32')\n",
-    "    out_img.to_filename(out_file)\n",
-    "    \n",
-    "    return out_file"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fmap_file = \"{}/sub-CMH0171/ses-01/fmap/sub-CMH0171_ses-01_run-01_fieldmap.nii.gz\".format(base_dir)\n",
-    "\n",
-    "out_file, fmap_range = to_rads(fmap_file, fmap_file.replace('.nii.gz', '_rad.nii.gz'))\n",
-    "\n",
-    "new_out_file = to_hz(out_file, fmap_range, out_file.replace('_rad.nii.gz', '_hz.nii.gz'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2048.7444\n"
-     ]
-    }
-   ],
-   "source": [
-    "fmap_img = nib.load(fmap_file)\n",
-    "fmap_data = fmap_img.get_data()\n",
-    "\n",
-    "fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
-    "print(fmap_range)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.1415927\n"
-     ]
-    }
-   ],
-   "source": [
-    "fmap_img = nib.load(out_file)\n",
-    "fmap_data = fmap_img.get_data()\n",
-    "\n",
-    "fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
-    "print(fmap_range)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2048.7446\n"
-     ]
-    }
-   ],
-   "source": [
-    "fmap_img = nib.load(new_out_file)\n",
-    "fmap_data = fmap_img.get_data()\n",
-    "\n",
-    "fmap_range = max(abs(fmap_data.min()), fmap_data.max())\n",
-    "print(fmap_range)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<nilearn.plotting.displays.OrthoSlicer at 0x7f1ca9b05668>"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 475.2x187.2 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_anat(fmap_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<nilearn.plotting.displays.OrthoSlicer at 0x7f1ca9ac7438>"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 475.2x187.2 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_anat(out_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<nilearn.plotting.displays.OrthoSlicer at 0x7f1ca9a6d1d0>"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 475.2x187.2 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_anat(new_out_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "dwi_venv",
-   "language": "python",
-   "name": "dwi_venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/notebooks/make_qc.ipynb b/notebooks/make_qc.ipynb
deleted file mode 100644
index 96691f85..00000000
--- a/notebooks/make_qc.ipynb
+++ /dev/null
@@ -1,395 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from docopt import docopt\n",
-    "import pandas as pd\n",
-    "import os\n",
-    "import tempfile\n",
-    "import shutil\n",
-    "from glob import glob\n",
-    "import sys\n",
-    "import subprocess as proc\n",
-    "\n",
-    "import datman as dm\n",
-    "import datman.utils"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "output_dir = '/scratch/smansour/CARTBIND/combined/dmriprep'\n",
-    "dtifit_dir = '/scratch/mjoseph/test/dtifit'\n",
-    "QCdir = os.path.join(dtifit_dir, 'QC')\n",
-    "tmpdirbase = os.path.join(QCdir,'tmp')\n",
-    "QC_bet_dir = os.path.join(QCdir,'BET')\n",
-    "QC_V1_dir = os.path.join(QCdir, 'directions')\n",
-    "QC_FM_dir = os.path.join(QCdir, 'FM')\n",
-    "QC_Mag_dir = os.path.join(QCdir, 'Mag')\n",
-    "QC_res_dir = os.path.join(QCdir, 'res')\n",
-    "QC_SH_dir = os.path.join(QCdir, 'SH')\n",
-    "\n",
-    "dir_list = [tmpdirbase, QC_bet_dir, QC_V1_dir, QC_res_dir, QC_SH_dir]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for qc_dir in dir_list:\n",
-    "    if not os.path.exists(qc_dir):\n",
-    "        os.makedirs(qc_dir)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "grad_out = os.path.join(tmpdirbase,'ramp.gif')\n",
-    "create_gradient_file(grad_out,'red-yellow')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "maskpics = []\n",
-    "V1pics = []\n",
-    "Respics = []\n",
-    "SHpics = []"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "allFAmaps = glob('{}/sub-*/ses-*/dwi/dtifit__FA*'.format(output_dir))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for FAmap in allFAmaps:\n",
-    "    subid = FAmap.split('/')[-4]\n",
-    "    sesid = FAmap.split('/')[-3]\n",
-    "    tmpdir = os.path.join(tmpdirbase, subid, sesid)\n",
-    "    if not os.path.exists(tmpdir):\n",
-    "        os.makedirs(tmpdir)\n",
-    "    basename = '{}_{}_'.format(subid, sesid)\n",
-    "    pathbase = FAmap.replace('dtifit__FA.nii.gz','')\n",
-    "    pathdir = os.path.dirname(pathbase)\n",
-    "    SHtmp = os.path.join(tmpdir,'SHmap.gif')\n",
-    "    SHpic = os.path.join(QC_SH_dir,basename + 'SH.gif')\n",
-    "    SHpics.append(SHpic)\n",
-    "    SH_overlay(os.path.join(pathdir,'eddy_corrected_noise.nii.gz'), SHtmp, grad_out)\n",
-    "    if os.path.exists(os.path.join(pathdir,'eddy_corrected_noise.nii.gz')):\n",
-    "        gif_gridtoline(SHtmp,SHpic)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "run(slices /scratch/smansour/CARTBIND/combined/dmriprep/sub-034/ses-01/dwi/sub-034_ses-01_dwi_denoised_unr_avg_b0_brain.nii.gz /scratch/smansour/CARTBIND/combined/dmriprep/sub-034/ses-01/dwi/sub-034_ses-01_dwi_denoised_unr_avg_b0_brain_mask.nii.gz -o /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif) failed with returncode 1. STDERR: b''\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -resize 384x384 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -crop 100x33%+0+0 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/sag.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/sag.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -crop 100x33%+0+128 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/cor.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/cor.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif -crop 100x33%+0+256 /scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/ax.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-034/ses-01/ax.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
-      "run(slices /scratch/smansour/CARTBIND/combined/dmriprep/sub-098/ses-01/dwi/sub-098_ses-01_dwi_denoised_unr_avg_b0_brain.nii.gz /scratch/smansour/CARTBIND/combined/dmriprep/sub-098/ses-01/dwi/sub-098_ses-01_dwi_denoised_unr_avg_b0_brain_mask.nii.gz -o /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif) failed with returncode 1. STDERR: b''\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -resize 384x384 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -crop 100x33%+0+0 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/sag.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/sag.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -crop 100x33%+0+128 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/cor.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/cor.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n",
-      "run(convert /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif -crop 100x33%+0+256 /scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/ax.gif) failed with returncode 1. STDERR: b\"convert: unable to open image `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/B0masked.gif': No such file or directory @ error/blob.c/OpenBlob/2712.\\nconvert: no images defined `/scratch/mjoseph/test/dtifit/QC/tmp/sub-098/ses-01/ax.gif' @ error/convert.c/ConvertImageCommand/3210.\\n\"\n"
-     ]
-    }
-   ],
-   "source": [
-    "for FAmap in allFAmaps:\n",
-    "    subid = FAmap.split('/')[-4]\n",
-    "    sesid = FAmap.split('/')[-3]\n",
-    "    tmpdir = os.path.join(tmpdirbase, subid, sesid)\n",
-    "    if not os.path.exists(tmpdir):\n",
-    "        os.makedirs(tmpdir)\n",
-    "    basename = '{}_{}_'.format(subid, sesid)\n",
-    "    pathbase = FAmap.replace('dtifit__FA.nii.gz','')\n",
-    "    pathdir = os.path.dirname(pathbase)\n",
-    "\n",
-    "    maskpic = os.path.join(QC_bet_dir,basename + 'b0_bet_mask.gif')\n",
-    "    maskpics.append(maskpic)\n",
-    "    mask_overlay(os.path.join(pathdir,'{}_{}_dwi_denoised_unr_avg_b0_brain.nii.gz'.format(subid, sesid)), \n",
-    "                 os.path.join(pathdir,'{}_{}_dwi_denoised_unr_avg_b0_brain_mask.nii.gz'.format(subid, sesid)), maskpic)\n",
-    "    V1pic = os.path.join(QC_V1_dir,basename + 'dtifit_V1.gif')\n",
-    "    V1pics.append(V1pic)\n",
-    "    V1_overlay(FAmap,pathbase + 'dtifit__V1.nii.gz', V1pic)\n",
-    "\n",
-    "#    SHtmp = os.path.join(tmpdir,'SHmap.gif')\n",
-    "#    SHpic = os.path.join(QC_SH_dir,basename + 'SH.gif')\n",
-    "#    SHpics.append(SHpic)\n",
-    "#    SH_overlay(os.path.join(pathdir,'eddy_corrected_noise.nii.gz'), SHtmp, grad_out)\n",
-    "#    gif_gridtoline(SHtmp,SHpic)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "qchtml = open(os.path.join(QCdir,'qc_BET.html'),'w')\n",
-    "qchtml.write('<HTML><TITLE>DTIFIT BET QC page</TITLE>')\n",
-    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
-    "qchtml.write('<h1><font color=\"white\">DTIFIT BET QC page</font></h1>')\n",
-    "for pic in maskpics:\n",
-    "    relpath = os.path.relpath(pic,QCdir)\n",
-    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
-    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
-    "    qchtml.write(relpath + '</a><br>\\n')\n",
-    "qchtml.write('</BODY></HTML>\\n')\n",
-    "qchtml.close() # you can omit in most cases as the destructor will call it\n",
-    "\n",
-    "## write an html page that shows all the V1 pics\n",
-    "qchtml = open(os.path.join(QCdir,'qc_directions.html'),'w')\n",
-    "qchtml.write('<HTML><TITLE>DTIFIT directions QC page</TITLE>')\n",
-    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
-    "qchtml.write('<h1><font color=\"white\">DTIFIT directions QC page</font></h1>')\n",
-    "for pic in V1pics:\n",
-    "    relpath = os.path.relpath(pic,QCdir)\n",
-    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
-    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
-    "    qchtml.write(relpath + '</a><br>\\n')\n",
-    "qchtml.write('</BODY></HTML>\\n')\n",
-    "qchtml.close() # you can omit in most cases as the destructor will call it\n",
-    "\n",
-    "# write an html page that shows all the SH residual pics\n",
-    "qchtml = open(os.path.join(QCdir,'qc_SH.html'),'w')\n",
-    "qchtml.write('<HTML><TITLE>SH residual QC page</TITLE>')\n",
-    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
-    "qchtml.write('<h1><font color=\"white\">SH residual QC page</font></h1>')\n",
-    "for pic in SHpics:\n",
-    "    relpath = os.path.relpath(pic,QCdir)\n",
-    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
-    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
-    "    qchtml.write(relpath + '</a><br>\\n')\n",
-    "qchtml.write('</BODY></HTML>\\n')\n",
-    "qchtml.close() # you can omit in most cases as the destructor will call it\n",
-    "\n",
-    "## write an html page that shows all the Res pics\n",
-    "qchtml = open(os.path.join(QCdir,'qc_res.html'),'w')\n",
-    "qchtml.write('<HTML><TITLE>DTIFIT residual QC page</TITLE>')\n",
-    "qchtml.write('<BODY BGCOLOR=#333333>\\n')\n",
-    "qchtml.write('<h1><font color=\"white\">DTIFIT residual QC page</font></h1>')\n",
-    "for pic in Respics:\n",
-    "    relpath = os.path.relpath(pic,QCdir)\n",
-    "    qchtml.write('<a href=\"'+ relpath + '\" style=\"color: #99CCFF\" >')\n",
-    "    qchtml.write('<img src=\"' + relpath + '\" \"WIDTH=800\" > ')\n",
-    "    qchtml.write(relpath + '</a><br>\\n')\n",
-    "qchtml.write('</BODY></HTML>\\n')\n",
-    "qchtml.close() # you can omit in most cases as the destructor will call it"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def gif_gridtoline(input_gif,output_gif):\n",
-    "    '''\n",
-    "    uses imagemagick to take a grid from fsl slices and convert to one line (like in slicesdir)\n",
-    "    '''\n",
-    "    dm.utils.run(['convert',input_gif, '-resize', '384x384',input_gif])\n",
-    "    dm.utils.run(['convert', input_gif,\\\n",
-    "        '-crop', '100x33%+0+0', os.path.join(tmpdir,'sag.gif')])\n",
-    "    dm.utils.run(['convert', input_gif,\\\n",
-    "        '-crop', '100x33%+0+128', os.path.join(tmpdir,'cor.gif')])\n",
-    "    dm.utils.run(['convert', input_gif,\\\n",
-    "        '-crop', '100x33%+0+256', os.path.join(tmpdir,'ax.gif')])\n",
-    "    dm.utils.run(['montage', '-mode', 'concatenate', '-tile', '3x1', \\\n",
-    "        os.path.join(tmpdir,'sag.gif'),\\\n",
-    "        os.path.join(tmpdir,'cor.gif'),\\\n",
-    "        os.path.join(tmpdir,'ax.gif'),\\\n",
-    "        os.path.join(output_gif)])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def mask_overlay(background_nii,mask_nii, overlay_gif):\n",
-    "    '''\n",
-    "    use slices from fsl to overlay the mask on the background (both nii)\n",
-    "    then make the grid to a line for easier scrolling during QC\n",
-    "    '''\n",
-    "    dm.utils.run(['slices', background_nii, mask_nii, '-o', os.path.join(tmpdir,'B0masked.gif')])\n",
-    "    gif_gridtoline(os.path.join(tmpdir,'B0masked.gif'),overlay_gif)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def V1_overlay(background_nii,V1_nii, overlay_gif):\n",
-    "    '''\n",
-    "    use fslsplit to split the V1 image and take pictures of each direction\n",
-    "    use slices from fsl to get the background and V1 picks (both nii)\n",
-    "    recolor the V1 image using imagemagick\n",
-    "    then make the grid to a line for easier scrolling during QC\n",
-    "    '''\n",
-    "    dm.utils.run(['slices',background_nii,'-o',os.path.join(tmpdir,\"background.gif\")])\n",
-    "    dm.utils.run(['fslmaths',background_nii,'-thr','0.15','-bin',os.path.join(tmpdir,'FAmask.nii.gz')])\n",
-    "    dm.utils.run(['fslsplit', V1_nii, os.path.join(tmpdir,\"V1\")])\n",
-    "    for axis in ['0000','0001','0002']:\n",
-    "        dm.utils.run(['fslmaths',os.path.join(tmpdir,'V1'+axis+'.nii.gz'), '-abs', \\\n",
-    "            '-mul', os.path.join(tmpdir,'FAmask.nii.gz'), os.path.join(tmpdir,'V1'+axis+'abs.nii.gz')])\n",
-    "        dm.utils.run(['slices',os.path.join(tmpdir,'V1'+axis+'abs.nii.gz'),'-o',os.path.join(tmpdir,'V1'+axis+'abs.gif')])\n",
-    "        # docmd(['convert', os.path.join(tmpdir,'V1'+axis+'abs.gif'),\\\n",
-    "        #         '-fuzz', '15%', '-transparent', 'black', os.path.join(tmpdir,'V1'+axis+'set.gif')])\n",
-    "    dm.utils.run(['convert', os.path.join(tmpdir,'V10000abs.gif'),\\\n",
-    "        os.path.join(tmpdir,'V10001abs.gif'), os.path.join(tmpdir,'V10002abs.gif'),\\\n",
-    "        '-set', 'colorspace', 'RGB', '-combine', '-set', 'colorspace', 'sRGB',\\\n",
-    "        os.path.join(tmpdir,'dirmap.gif')])\n",
-    "    gif_gridtoline(os.path.join(tmpdir,'dirmap.gif'),overlay_gif)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def SSE_overlay(sse,out,grad):\n",
-    "    '''\n",
-    "    Arguments:\n",
-    "        sse                        Full path to SSE file\n",
-    "        out                        Full path to output\n",
-    "        grad                       Full path to gradient look-up map\n",
-    "\n",
-    "    Steps:\n",
-    "    1. Clever/Hacky thresholding so maximum intensity is 2\n",
-    "    2. Generate slices\n",
-    "    3. Use gradient map to color greyscale image\n",
-    "    4. Background filling with 0 fuzziness to prevent leakage\n",
-    "    '''\n",
-    "    slice_out = out.replace('.nii.gz','.gif')\n",
-    "    cmd1 = 'fslmaths {} -sub 3 -mul -1 -thr 0 -mul -1 -add 3 {}'.format(sse,out)\n",
-    "    cmd2 = 'slices {} -o {}'.format(out, slice_out)\n",
-    "    cmd3 = 'convert {} {} -clut {}'.format(slice_out, grad, slice_out)\n",
-    "    cmd4 = 'convert {} -fill black -draw \"color 0,0 floodfill\" {}'.format(slice_out,slice_out)\n",
-    "    cmdlist = [cmd1, cmd2, cmd3, cmd4]\n",
-    "    outputs = [call(c) for c in cmdlist]\n",
-    "    return"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def SH_overlay(SH,out,grad):\n",
-    "    '''\n",
-    "    Arguments:\n",
-    "        SH                         Full path to SSE file\n",
-    "        out                        Full path to output\n",
-    "        grad                       Full path to gradient look-up map\n",
-    "\n",
-    "    Steps:\n",
-    "    1. Clever/Hacky thresholding so maximum intensity is 2\n",
-    "    2. Generate slices\n",
-    "    3. Use gradient map to color greyscale image\n",
-    "    4. Background filling with 0 fuzziness to prevent leakage\n",
-    "    '''\n",
-    "    slice_out = out.replace('.nii.gz','.gif')\n",
-    "    cmd1 = 'fslmaths {} -sub 0.3 -mul -1 -thr 0 -mul -1 -add 0.3 {}'.format(SH,out)\n",
-    "    cmd2 = 'slices {} -o {}'.format(out, slice_out)\n",
-    "    cmd3 = 'convert {} {} -clut {}'.format(slice_out, grad, slice_out)\n",
-    "    cmd4 = 'convert {} -fill black -draw \"color 0,0 floodfill\" {}'.format(slice_out,slice_out)\n",
-    "    cmdlist = [cmd1, cmd2, cmd3, cmd4]\n",
-    "    outputs = [call(c) for c in cmdlist]\n",
-    "    return"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def create_gradient_file(output,color):\n",
-    "    '''\n",
-    "    Arguments:\n",
-    "        output                    Full path to output file\n",
-    "        color                     String argument of Image-Magick 'color:color'\n",
-    "    '''\n",
-    "\n",
-    "    cmd = 'convert -size 10x20 gradient:{} {}'.format(color,output)\n",
-    "    call(cmd)\n",
-    "    return"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def call(cmd):\n",
-    "    p = proc.Popen(cmd,shell=True,stdin=proc.PIPE, stderr=proc.PIPE)\n",
-    "    std, err = p.communicate()\n",
-    "\n",
-    "    if p.returncode:\n",
-    "        print('{} failed with error {}'.format(cmd,err))\n",
-    "    return"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def get_sse(sub):\n",
-    "    sse = '{}_dtifit_sse.nii.gz'.format(sub)\n",
-    "    return os.path.join(dtifitdir,sub,sse)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "tigrlab_venv",
-   "language": "python",
-   "name": "tigrlab_venv"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/notebooks/slice_timing.ipynb b/notebooks/slice_timing.ipynb
deleted file mode 100644
index fdda1ad4..00000000
--- a/notebooks/slice_timing.ipynb
+++ /dev/null
@@ -1,939 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import json\n",
-    "from glob import glob\n",
-    "\n",
-    "from collections import defaultdict\n",
-    "\n",
-    "import nibabel as nib"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 120,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "/archive/data/SPINS/data/nii/SPN01_CMH_0002_01/SPN01_CMH_0002_01_02_DTI60-1000_05_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0004_01/SPN01_CMH_0004_01_02_DTI60-1000_05_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0005_01/SPN01_CMH_0005_01_01_DTI60-1000_22_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0007_01/SPN01_CMH_0007_01_01_DTI60-1000_17_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0008_01/SPN01_CMH_0008_01_01_DTI60-1000_19_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0009_01/SPN01_CMH_0009_01_01_DTI60-1000_21_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0011_01/SPN01_CMH_0011_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0012_01/SPN01_CMH_0012_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0013_01/SPN01_CMH_0013_01_01_DTI60-1000_18_Ax-DTI-60plus5.json\n",
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-      "/archive/data/SPINS/data/nii/SPN01_CMH_0015_01/SPN01_CMH_0015_01_01_DTI60-1000_15_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0016_01/SPN01_CMH_0016_01_01_DTI60-1000_15_Ax-DTI-60plus5.json\n",
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-      "/archive/data/SPINS/data/nii/SPN01_CMH_0020_01/SPN01_CMH_0020_01_01_DTI60-1000_15_Ax-DTI-60plus5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0021_01/SPN01_CMH_0021_01_01_DTI60-1000_15_Ax-DTI-60plus5.json\n",
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-      "/archive/data/SPINS/data/nii/SPN01_CMH_0024_01/SPN01_CMH_0024_01_01_DTI60-1000_16_Ax-DTI-60plus5-20iso.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0026_01/SPN01_CMH_0026_01_01_DTI60-1000_17_Ax-DTI-60plus5-20iso.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0027_01/SPN01_CMH_0027_01_01_DTI60-1000_18_Ax-DTI-60plus5-20iso.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0028_01/SPN01_CMH_0028_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.json\n",
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-      "/archive/data/SPINS/data/nii/SPN01_CMH_0031_01/SPN01_CMH_0031_01_01_DTI60-1000_19_Ax-DTI-60plus5-20iso.json\n",
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-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0018_01/SPN01_ZHH_0018_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0019_01/SPN01_ZHH_0019_01_01_DTI60-1000_20_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0020_01/SPN01_ZHH_0020_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0021_01/SPN01_ZHH_0021_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0022_01/SPN01_ZHH_0022_01_01_DTI60-1000_23_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0023_01/SPN01_ZHH_0023_01_01_DTI60-1000_21_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0024_01/SPN01_ZHH_0024_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0025_01/SPN01_ZHH_0025_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0028_01/SPN01_ZHH_0028_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0029_01/SPN01_ZHH_0029_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0030_01/SPN01_ZHH_0030_01_01_DTI60-1000_21_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0031_01/SPN01_ZHH_0031_01_01_DTI60-1000_13_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0032_01/SPN01_ZHH_0032_01_01_DTI60-1000_25_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0033_01/SPN01_ZHH_0033_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0037_01/SPN01_ZHH_0037_01_01_DTI60-1000_20_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0038_01/SPN01_ZHH_0038_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0039_01/SPN01_ZHH_0039_01_01_DTI60-1000_22_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0040_01/SPN01_ZHH_0040_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0041_01/SPN01_ZHH_0041_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0043_01/SPN01_ZHH_0043_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0045_01/SPN01_ZHH_0045_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0047_01/SPN01_ZHH_0047_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0048_01/SPN01_ZHH_0048_01_01_DTI60-1000_14_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0052_01/SPN01_ZHH_0052_01_01_DTI60-1000_21_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0053_01/SPN01_ZHH_0053_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0054_01/SPN01_ZHH_0054_01_01_DTI60-1000_17_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0056_01/SPN01_ZHH_0056_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0057_01/SPN01_ZHH_0057_01_01_DTI60-1000_14_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_0060_01/SPN01_ZHH_0060_01_01_DTI60-1000_18_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_9999_01/SPN01_ZHH_9999_01_01_DTI60-1000_19_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_P001_01/SPN01_ZHH_P001_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_P001_02/SPN01_ZHH_P001_02_01_DTI60-1000_11_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_P002_01/SPN01_ZHH_P002_01_01_DTI60-1000_15_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_P002_02/SPN01_ZHH_P002_02_01_DTI60-1000_14_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_P003_01/SPN01_ZHH_P003_01_01_DTI60-1000_16_DTI-B-1000-60+5.json\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHH_P003_02/SPN01_ZHH_P003_02_01_DTI60-1000_10_DTI-B-1000-60+5.json\n"
-     ]
-    }
-   ],
-   "source": [
-    "dwi_jsons = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*json'))\n",
-    "\n",
-    "slice_timings = []\n",
-    "\n",
-    "for i in dwi_jsons:\n",
-    "    with open(i, 'r') as f:\n",
-    "        json_dict = json.load(f)\n",
-    "    try:\n",
-    "        timing = json_dict['SliceTiming']\n",
-    "        if not timing in slice_timings:\n",
-    "            slice_timings.append(timing)\n",
-    "    except:\n",
-    "        print(i)\n",
-    "        continue"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 136,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dwi_jsons = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*json'))\n",
-    "\n",
-    "slice_orders = []\n",
-    "\n",
-    "for i in dwi_jsons:\n",
-    "    with open(i, 'r') as f:\n",
-    "        json_dict = json.load(f)\n",
-    "    try:\n",
-    "        timing = json_dict['SliceTiming']\n",
-    "        slice_order = sorted(range(len(timing)),key=timing.__getitem__)\n",
-    "        if not slice_order in slice_orders:\n",
-    "            slice_orders.append(slice_order)\n",
-    "    except:\n",
-    "        continue"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "slice_order"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 138,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[[1,\n",
-       "  3,\n",
-       "  5,\n",
-       "  7,\n",
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-       "  11,\n",
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-       "  55,\n",
-       "  57,\n",
-       "  59,\n",
-       "  61,\n",
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-       "  65,\n",
-       "  0,\n",
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-       "  6,\n",
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-       "  60,\n",
-       "  62,\n",
-       "  64],\n",
-       " [1,\n",
-       "  3,\n",
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-       "  9,\n",
-       "  11,\n",
-       "  13,\n",
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-       "  17,\n",
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-       "  21,\n",
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-       "  25,\n",
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-       "  61,\n",
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-       "  65,\n",
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-       "  69,\n",
-       "  71,\n",
-       "  73,\n",
-       "  0,\n",
-       "  2,\n",
-       "  4,\n",
-       "  6,\n",
-       "  8,\n",
-       "  10,\n",
-       "  12,\n",
-       "  14,\n",
-       "  16,\n",
-       "  18,\n",
-       "  20,\n",
-       "  22,\n",
-       "  24,\n",
-       "  26,\n",
-       "  28,\n",
-       "  30,\n",
-       "  32,\n",
-       "  34,\n",
-       "  36,\n",
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-       "  40,\n",
-       "  42,\n",
-       "  44,\n",
-       "  46,\n",
-       "  48,\n",
-       "  50,\n",
-       "  52,\n",
-       "  54,\n",
-       "  56,\n",
-       "  58,\n",
-       "  60,\n",
-       "  62,\n",
-       "  64,\n",
-       "  66,\n",
-       "  68,\n",
-       "  70,\n",
-       "  72]]"
-      ]
-     },
-     "execution_count": 138,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "slice_orders"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 135,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[2,\n",
-       " 4,\n",
-       " 6,\n",
-       " 8,\n",
-       " 10,\n",
-       " 12,\n",
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-       " 60,\n",
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-       " 64,\n",
-       " 66,\n",
-       " 1,\n",
-       " 3,\n",
-       " 5,\n",
-       " 7,\n",
-       " 9,\n",
-       " 11,\n",
-       " 13,\n",
-       " 15,\n",
-       " 17,\n",
-       " 19,\n",
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-       " 23,\n",
-       " 25,\n",
-       " 27,\n",
-       " 29,\n",
-       " 31,\n",
-       " 33,\n",
-       " 35,\n",
-       " 37,\n",
-       " 39,\n",
-       " 41,\n",
-       " 43,\n",
-       " 45,\n",
-       " 47,\n",
-       " 49,\n",
-       " 51,\n",
-       " 53,\n",
-       " 55,\n",
-       " 57,\n",
-       " 59,\n",
-       " 61,\n",
-       " 63,\n",
-       " 65]"
-      ]
-     },
-     "execution_count": 135,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "slice_order"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 132,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[[2,\n",
-       "  4,\n",
-       "  6,\n",
-       "  8,\n",
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-       "  60,\n",
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-       "  64,\n",
-       "  66,\n",
-       "  1,\n",
-       "  3,\n",
-       "  5,\n",
-       "  7,\n",
-       "  9,\n",
-       "  11,\n",
-       "  13,\n",
-       "  15,\n",
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-       "  21,\n",
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-       "  33,\n",
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-       "  55,\n",
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-       "  59,\n",
-       "  61,\n",
-       "  63,\n",
-       "  65],\n",
-       " [2,\n",
-       "  4,\n",
-       "  6,\n",
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-       "  74,\n",
-       "  1,\n",
-       "  3,\n",
-       "  5,\n",
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-       "  9,\n",
-       "  11,\n",
-       "  13,\n",
-       "  15,\n",
-       "  17,\n",
-       "  19,\n",
-       "  21,\n",
-       "  23,\n",
-       "  25,\n",
-       "  27,\n",
-       "  29,\n",
-       "  31,\n",
-       "  33,\n",
-       "  35,\n",
-       "  37,\n",
-       "  39,\n",
-       "  41,\n",
-       "  43,\n",
-       "  45,\n",
-       "  47,\n",
-       "  49,\n",
-       "  51,\n",
-       "  53,\n",
-       "  55,\n",
-       "  57,\n",
-       "  59,\n",
-       "  61,\n",
-       "  63,\n",
-       "  65,\n",
-       "  67,\n",
-       "  69,\n",
-       "  71,\n",
-       "  73]]"
-      ]
-     },
-     "execution_count": 132,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "slice_orders"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 142,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0001_01/SPN01_CMH_0001_01_01_DTI60-1000_20_Ax-DTI-60plus5.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0023_01/SPN01_CMH_0023_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0026_01/SPN01_CMH_0026_01_01_DTI60-1000_17_Ax-DTI-60plus5-20iso.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0134_01/SPN01_CMH_0134_01_01_DTI60-1000_16_Ax-DTI-60plus5-20iso.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMH_0164_01/SPN01_CMH_0164_01_01_DTI60-1000_15_Ax-DTI-60plus5-20iso.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_CMP_0191_02/SPN01_CMP_0191_02_01_DTI60-1000_21_ep2d-diff-4scan-trace-p2-2mm.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHP_P001_03/SPN01_ZHP_P001_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHP_P002_03/SPN01_ZHP_P002_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n"
-     ]
-    }
-   ],
-   "source": [
-    "dwi_niis = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*nii.gz'))\n",
-    "\n",
-    "unique_shapes = defaultdict(set)\n",
-    "\n",
-    "for i in dwi_niis:\n",
-    "    site = i.split('/')[6].split('_')[1]\n",
-    "    data = nib.load(i)\n",
-    "    if not data.shape[2] == 66:\n",
-    "        print(i)\n",
-    "    unique_shapes[site].add(data.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 140,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dwi_niis = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*nii.gz'))\n",
-    "\n",
-    "for i in dwi_niis:\n",
-    "    data = nib.load(i)\n",
-    "    slice_num = data.shape[2]\n",
-    "    slices = list(range(1, slice_num))\n",
-    "    even_slices = [slice for slice in slices if slice % 2 == 0]\n",
-    "    odd_slices = [slice for slice in slices if slice % 2 == 1]\n",
-    "    slice_reorder = odd_slices + even_slices\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "slice_reorder"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 98,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "defaultdict(set,\n",
-       "            {'CMH': {(128, 128, 66, 65), (128, 128, 71, 65)},\n",
-       "             'CMP': {(128, 128, 66, 66), (128, 128, 70, 66)},\n",
-       "             'MRC': {(128, 128, 66, 66)},\n",
-       "             'MRP': {(128, 128, 66, 66)},\n",
-       "             'ZHH': {(128, 128, 66, 65)},\n",
-       "             'ZHP': {(128, 128, 66, 61),\n",
-       "              (128, 128, 66, 66),\n",
-       "              (128, 128, 74, 66)}})"
-      ]
-     },
-     "execution_count": 98,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "unique_shapes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 102,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/archive/data/SPINS/data/nii/SPN01_ZHP_P001_03/SPN01_ZHP_P001_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n",
-      "/archive/data/SPINS/data/nii/SPN01_ZHP_P002_03/SPN01_ZHP_P002_03_01_DTI60-1000_11_DTI-60Dir-5B0.nii.gz\n"
-     ]
-    }
-   ],
-   "source": [
-    "dwi_niis = sorted(glob('/archive/data/SPINS/data/nii/SPN01_*_0*/*DTI*nii.gz'))\n",
-    "\n",
-    "for i in dwi_niis:\n",
-    "    data = nib.load(i)\n",
-    "    if data.shape[2] == 74:\n",
-    "        print(i)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[(128, 128, 71, 65),\n",
-       " (128, 128, 66, 65),\n",
-       " (128, 128, 66, 66),\n",
-       " (128, 128, 70, 66),\n",
-       " (128, 128, 66, 61),\n",
-       " (128, 128, 74, 66)]"
-      ]
-     },
-     "execution_count": 82,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "unique_shapes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "71, 65\n",
-    "66, 65\n",
-    "66, 66\n",
-    "70, 66\n",
-    "66, 61\n",
-    "74, 66"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "dwi_venv",
-   "language": "python",
-   "name": "dwi_venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/notebooks/test_wf.ipynb b/notebooks/test_wf.ipynb
deleted file mode 100644
index 8aebdd41..00000000
--- a/notebooks/test_wf.ipynb
+++ /dev/null
@@ -1,348 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from nipype.pipeline import engine as pe\n",
-    "from nipype.interfaces import utility as niu"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dwi_file = '/projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def init_test_wf():\n",
-    "    wf = pe.Workflow(name=\"test\")\n",
-    "\n",
-    "    inputnode = pe.Node(niu.IdentityInterface(fields=[\"dwi_file\"]), name=\"inputnode\")\n",
-    "\n",
-    "    outputnode = pe.Node(niu.IdentityInterface(fields=[\"out_file\"]), name=\"outputnode\")\n",
-    "\n",
-    "    denoise = pe.Node(DWIDenoise(), name=\"denoise\")\n",
-    "    \n",
-    "    unring = pe.Node(MRDeGibbs(), name=\"unring\")\n",
-    "\n",
-    "    wf.connect([(inputnode, denoise, [(\"dwi_file\", \"in_file\")]),\n",
-    "                (denoise, unring, [(\"out_file\", \"in_file\")]),\n",
-    "                (unring, outputnode, [(\"out_file\", \"out_file\")])])\n",
-    "    \n",
-    "    return wf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "190627-17:38:59,948 nipype.workflow INFO:\n",
-      "\t Workflow test settings: ['check', 'execution', 'logging', 'monitoring']\n",
-      "190627-17:39:00,35 nipype.workflow INFO:\n",
-      "\t Running serially.\n",
-      "190627-17:39:00,37 nipype.workflow INFO:\n",
-      "\t [Node] Setting-up \"test.denoise\" in \"/tmp/tmpbinecjkb/test/denoise\".\n",
-      "190627-17:39:00,42 nipype.workflow INFO:\n",
-      "\t [Node] Running \"denoise\" (\"__main__.DWIDenoise\"), a CommandLine Interface with command:\n",
-      "dwidenoise -noise sub-0880002_ses-01_acq-singleshell19dir_dwi_noise.nii.gz /projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz\n",
-      "190627-17:39:00,529 nipype.interface INFO:\n",
-      "dwidenoise: [100%] uncompressing image \"/projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz\"\u001b[0K\u001b[0K\n",
-      "190627-17:39:00,823 nipype.interface INFO:\n",
-      "dwidenoise: [100%] preloading data for \"/projects/mjoseph/pipelines/testing/data/sub-0880002/ses-01/dwi/sub-0880002_ses-01_acq-singleshell19dir_dwi.nii.gz\"\u001b[0K\u001b[0K\n",
-      "190627-17:39:03,881 nipype.interface INFO:\n",
-      "dwidenoise: [100%] running MP-PCA denoising\u001b[0K\u001b[0K\n",
-      "190627-17:39:04,110 nipype.interface INFO:\n",
-      "dwidenoise: [100%] compressing image \"sub-0880002_ses-01_acq-singleshell19dir_dwi_noise.nii.gz\"\u001b[0K\u001b[0K\n",
-      "190627-17:39:08,812 nipype.interface INFO:\n",
-      "dwidenoise: [100%] compressing image \"sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz\"\u001b[0K\u001b[0K\n",
-      "190627-17:39:08,932 nipype.workflow INFO:\n",
-      "\t [Node] Finished \"test.denoise\".\n",
-      "190627-17:39:08,933 nipype.workflow INFO:\n",
-      "\t [Node] Setting-up \"test.unring\" in \"/tmp/tmpi_3ouhxh/test/unring\".\n",
-      "190627-17:39:08,937 nipype.workflow INFO:\n",
-      "\t [Node] Running \"unring\" (\"__main__.MRDeGibbs\"), a CommandLine Interface with command:\n",
-      "mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 /tmp/tmpbinecjkb/test/denoise/sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised_unr.nii.gz\n",
-      "190627-17:39:09,795 nipype.interface INFO:\n",
-      "mrdegibbs: [100%] uncompressing image \"/tmp/tmpbinecjkb/test/denoise/sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised.nii.gz\"\u001b[0K\u001b[0K\n",
-      "190627-17:39:16,918 nipype.interface INFO:\n",
-      "mrdegibbs: [100%] performing Gibbs ringing removal\u001b[0K\u001b[0K\n",
-      "190627-17:39:21,387 nipype.interface INFO:\n",
-      "mrdegibbs: [100%] compressing image \"sub-0880002_ses-01_acq-singleshell19dir_dwi_denoised_unr.nii.gz\"\u001b[0K\u001b[0K\n",
-      "190627-17:39:21,492 nipype.workflow INFO:\n",
-      "\t [Node] Finished \"test.unring\".\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<networkx.classes.digraph.DiGraph at 0x7fa9a8bd4588>"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_wf = init_test_wf()\n",
-    "inputspec = test_wf.get_node(\"inputnode\")\n",
-    "inputspec.inputs.dwi_file = dwi_file\n",
-    "test_wf.run()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from __future__ import (print_function, division, unicode_literals,\n",
-    "                        absolute_import)\n",
-    "\n",
-    "import os\n",
-    "\n",
-    "from nipype.interfaces.base import (CommandLineInputSpec, CommandLine, traits, TraitedSpec,\n",
-    "                    File, isdefined, Undefined, InputMultiObject)\n",
-    "from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base\n",
-    "\n",
-    "\n",
-    "class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):\n",
-    "    in_file = File(\n",
-    "        exists=True,\n",
-    "        argstr='%s',\n",
-    "        position=-2,\n",
-    "        mandatory=True,\n",
-    "        desc='input DWI image')\n",
-    "    mask = File(\n",
-    "        exists=True,\n",
-    "        argstr='-mask %s',\n",
-    "        position=1,\n",
-    "        desc='mask image')\n",
-    "    extent = traits.Tuple((traits.Int, traits.Int, traits.Int),\n",
-    "        argstr='-extent %d,%d,%d',\n",
-    "        desc='set the window size of the denoising filter. (default = 5,5,5)')\n",
-    "    noise = File(\n",
-    "        argstr='-noise %s',\n",
-    "        name_template='%s_noise',\n",
-    "        name_source=['in_file'],\n",
-    "        keep_extension=True,\n",
-    "        desc='the output noise map')\n",
-    "    out_file = File(\n",
-    "        argstr='%s',\n",
-    "        name_template='%s_denoised',\n",
-    "        name_source=['in_file'],\n",
-    "        keep_extension=True,\n",
-    "        position=-1,\n",
-    "        desc='the output denoised DWI image')\n",
-    "\n",
-    "class DWIDenoiseOutputSpec(TraitedSpec):\n",
-    "    out_file = File(desc='the output denoised DWI image', exists=True)\n",
-    "    noise = File(desc='the output noise map (if generated)', exists=True)\n",
-    "\n",
-    "class DWIDenoise(MRTrix3Base):\n",
-    "    \"\"\"\n",
-    "    Denoise DWI data and estimate the noise level based on the optimal\n",
-    "    threshold for PCA.\n",
-    "    DWI data denoising and noise map estimation by exploiting data redundancy\n",
-    "    in the PCA domain using the prior knowledge that the eigenspectrum of\n",
-    "    random covariance matrices is described by the universal Marchenko Pastur\n",
-    "    distribution.\n",
-    "    Important note: image denoising must be performed as the first step of the\n",
-    "    image processing pipeline. The routine will fail if interpolation or\n",
-    "    smoothing has been applied to the data prior to denoising.\n",
-    "    Note that this function does not correct for non-Gaussian noise biases.\n",
-    "    For more information, see\n",
-    "    <https://mrtrix.readthedocs.io/en/latest/reference/commands/dwidenoise.html>\n",
-    "    Example\n",
-    "    -------\n",
-    "    >>> import nipype.interfaces.mrtrix3 as mrt\n",
-    "    >>> denoise = mrt.DWIDenoise()\n",
-    "    >>> denoise.inputs.in_file = 'dwi.mif'\n",
-    "    >>> denoise.inputs.mask = 'mask.mif'\n",
-    "    >>> denoise.cmdline                               # doctest: +ELLIPSIS\n",
-    "    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'\n",
-    "    >>> denoise.run()                                 # doctest: +SKIP\n",
-    "    \"\"\"\n",
-    "\n",
-    "    _cmd = 'dwidenoise'\n",
-    "    input_spec = DWIDenoiseInputSpec\n",
-    "    output_spec = DWIDenoiseOutputSpec"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):\n",
-    "    in_file = File(\n",
-    "        exists=True,\n",
-    "        argstr='%s',\n",
-    "        position=-2,\n",
-    "        mandatory=True,\n",
-    "        desc='input DWI image')\n",
-    "    axes = traits.ListInt(\n",
-    "        default_value=[0,1],\n",
-    "        usedefault=True,\n",
-    "        sep=',',\n",
-    "        minlen=2,\n",
-    "        maxlen=2,\n",
-    "        argstr='-axes %s',\n",
-    "        desc='indicate the plane in which the data was acquired (axial = 0,1; '\n",
-    "             'coronal = 0,2; sagittal = 1,2')\n",
-    "    nshifts = traits.Int(\n",
-    "        default_value=20,\n",
-    "        usedefault=True,\n",
-    "        argstr='-nshifts %d',\n",
-    "        desc='discretization of subpixel spacing (default = 20)')\n",
-    "    minW = traits.Int(\n",
-    "        default_value=1,\n",
-    "        usedefault=True,\n",
-    "        argstr='-minW %d',\n",
-    "        desc='left border of window used for total variation (TV) computation '\n",
-    "             '(default = 1)')\n",
-    "    maxW = traits.Int(\n",
-    "        default_value=3,\n",
-    "        usedefault=True,\n",
-    "        argstr='-maxW %d',\n",
-    "        desc='right border of window used for total variation (TV) computation '\n",
-    "             '(default = 3)')\n",
-    "    out_file = File(name_template='%s_unr',\n",
-    "        name_source='in_file',\n",
-    "        keep_extension=True,\n",
-    "        argstr='%s',\n",
-    "        position=-1,\n",
-    "        desc='the output unringed DWI image',\n",
-    "        genfile=True)\n",
-    "\n",
-    "class MRDeGibbsOutputSpec(TraitedSpec):\n",
-    "    out_file = File(desc='the output unringed DWI image', exists=True)\n",
-    "\n",
-    "class MRDeGibbs(MRTrix3Base):\n",
-    "    \"\"\"\n",
-    "    Remove Gibbs ringing artifacts.\n",
-    "    This application attempts to remove Gibbs ringing artefacts from MRI images\n",
-    "    using the method of local subvoxel-shifts proposed by Kellner et al.\n",
-    "    This command is designed to run on data directly after it has been\n",
-    "    reconstructed by the scanner, before any interpolation of any kind has\n",
-    "    taken place. You should not run this command after any form of motion\n",
-    "    correction (e.g. not after dwipreproc). Similarly, if you intend running\n",
-    "    dwidenoise, you should run this command afterwards, since it has the\n",
-    "    potential to alter the noise structure, which would impact on dwidenoise's\n",
-    "    performance.\n",
-    "    Note that this method is designed to work on images acquired with full\n",
-    "    k-space coverage. Running this method on partial Fourier ('half-scan') data\n",
-    "    may lead to suboptimal and/or biased results, as noted in the original\n",
-    "    reference below. There is currently no means of dealing with this; users\n",
-    "    should exercise caution when using this method on partial Fourier data, and\n",
-    "    inspect its output for any obvious artefacts.\n",
-    "    For more information, see\n",
-    "    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrdegibbs.html>\n",
-    "    Example\n",
-    "    -------\n",
-    "    >>> import nipype.interfaces.mrtrix3 as mrt\n",
-    "    >>> unring = mrt.MRDeGibbs()\n",
-    "    >>> unring.inputs.in_file = 'dwi.mif'\n",
-    "    >>> unring.cmdline\n",
-    "    'mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 dwi.mif dwi_unr.mif'\n",
-    "    >>> unring.run()                                 # doctest: +SKIP\n",
-    "    \"\"\"\n",
-    "\n",
-    "    _cmd = 'mrdegibbs'\n",
-    "    input_spec = MRDeGibbsInputSpec\n",
-    "    output_spec = MRDeGibbsOutputSpec"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "    def _gen_outfilename(self):\n",
-    "        out_file = self.inputs.out_file\n",
-    "        if not isdefined(out_file) and isdefined(self.inputs.in_file):\n",
-    "            out_file = self._gen_fname(self.inputs.in_file, suffix='_denoised')\n",
-    "        return os.path.abspath(out_file)\n",
-    "    \n",
-    "    def _gen_fname(self,\n",
-    "               basename,\n",
-    "               cwd=None,\n",
-    "               suffix=None,\n",
-    "               change_ext=True,\n",
-    "               ext=None):\n",
-    "\n",
-    "        if basename == '':\n",
-    "            msg = 'Unable to generate filename for command %s. ' % self.cmd\n",
-    "            msg += 'basename is not set!'\n",
-    "            raise ValueError(msg)\n",
-    "        if cwd is None:\n",
-    "            cwd = os.getcwd()\n",
-    "        if ext is None:\n",
-    "            ext = Info.output_type_to_ext(self.inputs.output_type)\n",
-    "        if change_ext:\n",
-    "            if suffix:\n",
-    "                suffix = ''.join((suffix, ext))\n",
-    "            else:\n",
-    "                suffix = ext\n",
-    "        if suffix is None:\n",
-    "            suffix = ''\n",
-    "        fname = fname_presuffix(\n",
-    "            basename, suffix=suffix, use_ext=False, newpath=cwd)\n",
-    "        return fname\n",
-    "\n",
-    "    def _list_outputs(self):\n",
-    "        outputs = self.output_spec().get()\n",
-    "        outputs['out_file'] = self._gen_outfilename()\n",
-    "        if (isdefined(self.inputs.noise) and self.inputs.noise):\n",
-    "            outputs['noise_file'] = self._gen_fname(outputs['out_file'], suffix='_noise')\n",
-    "        return outputs"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "dwi_venv",
-   "language": "python",
-   "name": "dwi_venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

From 0e133adbbe9037b28939a2ca85e3265a675bd676 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 25 Jul 2019 17:34:56 -0400
Subject: [PATCH 097/156] add codacy code quality badge

---
 README.rst | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/README.rst b/README.rst
index 52af7567..ac722cbd 100644
--- a/README.rst
+++ b/README.rst
@@ -1,7 +1,12 @@
 .. image:: https://codecov.io/gh/TIGRLab/dmripreproc/branch/master/graph/badge.svg
+  :alt: Codecov Badge
   :target: https://codecov.io/gh/TIGRLab/dmripreproc
 .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
-    :target: https://github.com/python/black
+  :alt: Black Badge
+  :target: https://github.com/python/black
+.. image:: https://api.codacy.com/project/badge/Grade/f45ec5c64894427a8860cc87cda1910a
+   :alt: Codacy Badge
+   :target: https://app.codacy.com/app/josephmje/dmripreproc?utm_source=github.com&utm_medium=referral&utm_content=TIGRLab/dmripreproc&utm_campaign=Badge_Grade_Dashboard
 
 # <img alt="dmripreproc" src="docs/img/dmripreproc_icon.svg" height="128"> dmripreproc
 

From fd86d96cbe24488841befb9a00323235945056ca Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 25 Jul 2019 17:35:05 -0400
Subject: [PATCH 098/156] remove notebooks from gitignore

---
 .gitignore | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/.gitignore b/.gitignore
index b54dbe26..3cae9a46 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,6 +103,3 @@ ENV/
 
 # Mac OS nonsense:
 .DS_Store
-
-# data
-notebooks/data/

From 9d5831f9fb0a78414fcdb2cc7afc4c2e9c9736cf Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 29 Jul 2019 14:09:15 -0400
Subject: [PATCH 099/156] update eddy, dwidenoise and mrdegibbs specs

---
 dmripreproc/interfaces/fsl.py     | 806 +++++++++++-------------------
 dmripreproc/interfaces/mrtrix3.py |  97 ++--
 2 files changed, 324 insertions(+), 579 deletions(-)

diff --git a/dmripreproc/interfaces/fsl.py b/dmripreproc/interfaces/fsl.py
index b9c9c1ef..a49ff90b 100644
--- a/dmripreproc/interfaces/fsl.py
+++ b/dmripreproc/interfaces/fsl.py
@@ -19,358 +19,326 @@ class EddyInputSpec(FSLCommandInputSpec):
     in_file = File(
         exists=True,
         mandatory=True,
-        argstr="--imain=%s",
-        desc=("File containing all the images to estimate " "distortions for"),
-    )
+        argstr='--imain=%s',
+        desc=('File containing all the images to estimate '
+              'distortions for'))
     in_mask = File(
         exists=True,
         mandatory=True,
-        argstr="--mask=%s",
-        desc="Mask to indicate brain",
-    )
-    in_acqp = File(
-        exists=True,
-        mandatory=True,
-        argstr="--acqp=%s",
-        desc="File containing acquisition parameters",
-    )
+        argstr='--mask=%s',
+        desc='Mask to indicate brain')
     in_index = File(
         exists=True,
         mandatory=True,
-        argstr="--index=%s",
-        desc=(
-            "File containing indices for all volumes in --imain "
-            "into --acqp and --topup"
-        ),
-    )
-    session = File(
+        argstr='--index=%s',
+        desc=('File containing indices for all volumes in --imain '
+              'into --acqp and --topup'))
+    in_acqp = File(
         exists=True,
-        argstr="--session=%s",
-        desc=("File containing session indices for all volumes in " "--imain"),
-    )
+        mandatory=True,
+        argstr='--acqp=%s',
+        desc='File containing acquisition parameters')
     in_bvec = File(
         exists=True,
         mandatory=True,
-        argstr="--bvecs=%s",
-        desc=("File containing the b-vectors for all volumes in " "--imain"),
-    )
+        argstr='--bvecs=%s',
+        desc=('File containing the b-vectors for all volumes in '
+              '--imain'))
     in_bval = File(
         exists=True,
         mandatory=True,
-        argstr="--bvals=%s",
-        desc=("File containing the b-values for all volumes in " "--imain"),
-    )
+        argstr='--bvals=%s',
+        desc=('File containing the b-values for all volumes in '
+              '--imain'))
+    out_base = traits.Str(
+        default_value='eddy_corrected',
+        argstr='--out=%s',
+        usedefault=True,
+        desc=('basename for output (warped) image'))
+    session = File(
+        exists=True,
+        argstr='--session=%s',
+        desc=('File containing session indices for all volumes in '
+              '--imain'))
     in_topup_fieldcoef = File(
         exists=True,
-        argstr="--topup=%s",
-        requires=["in_topup_movpar"],
-        desc=("topup file containing the field " "coefficients"),
-    )
+        argstr='--topup=%s',
+        requires=['in_topup_movpar'],
+        desc=('topup file containing the field '
+              'coefficients'))
     in_topup_movpar = File(
         exists=True,
-        requires=["in_topup_fieldcoef"],
-        desc="topup movpar.txt file",
-    )
+        requires=['in_topup_fieldcoef'],
+        desc='topup movpar.txt file')
     field = traits.Str(
-        argstr="--field=%s",
-        desc="NonTOPUP fieldmap scaled in Hz - filename has "
-        "to be provided without an extension. TOPUP is "
-        "strongly recommended",
-        min_ver="5.0.10",
-    )
+        exists=True,
+        argstr='--field=%s',
+        desc='NonTOPUP fieldmap scaled in Hz. TOPUP is '
+        'strongly recommended')
     field_mat = File(
         exists=True,
-        argstr="--field_mat=%s",
-        desc="Matrix that specifies the relative locations of "
-        "the field specified by --field and first volume "
-        "in file --imain",
-        min_ver="5.0.10",
-    )
-    out_base = traits.Str(
-        "eddy_corrected",
-        argstr="--out=%s",
-        usedefault=True,
-        desc=("basename for output (warped) image"),
-    )
+        argstr='--field_mat=%s',
+        desc='Matrix that specifies the relative locations of '
+        'the field specified by --field and first volume '
+        'in file --imain')
     mb = traits.Int(
-        argstr="--mb=%s", desc="Multi-band factor", min_ver="5.0.10"
-    )
+        argstr='--mb=%s', desc='Multi-band factor', min_ver='5.0.10')
     mb_offs = traits.Enum(
         -1,
         1,
-        argstr="--mb_offs=%s",
-        desc="Multi-band offset (-1 if bottom slice removed, 1 if top slice removed",
-        requires=["mb"],
-        min_ver="5.0.10",
-    )
+        argstr='--mb_offs=%s',
+        desc='Multi-band offset (-1 if bottom slice removed, 1 if top slice removed',
+        requires=['mb'],
+        min_ver='5.0.10')
+
     slspec = traits.File(
-        argstr="--slspec=%s",
-        desc="Name of text file completely specifying slice/group acquisition",
-        xor=["json"],
-        min_ver="5.0.11",
-    )
+        exists=True,
+        argstr='--slspec=%s',
+        desc='Name of text file completely specifying slice/group acquisition',
+        xor=['json'],
+        min_ver='5.0.11')
     json = traits.File(
-        argstr="--json=%s",
-        desc="Name of .json text file with information about slice timing",
-        xor=["slspec"],
-        min_ver="6.0.1",
-    )
+        exists=True,
+        argstr='--json=%s',
+        desc='Name of .json text file with information about slice timing',
+        xor=['slspec'],
+        min_ver='6.0.1')
     mporder = traits.Int(
-        argstr="--mporder=%s",
-        desc="Order of slice-to-vol movement model",
-        requires=["slspec"],
-        min_ver="5.0.11",
-    )
+        argstr='--mporder=%s',
+        desc='Order of slice-to-vol movement model',
+        requires=['slspec'],
+        min_ver='5.0.11')
     s2v_lambda = traits.Int(
-        1,
-        usedefault=True,
-        agstr="--s2v_lambda",
-        desc="Regularisation weight for slice-to-vol movement (reasonable range 1-10)",
-        requires=["slspec"],
-        min_ver="5.0.11",
-    )
+        #default_value=1,
+        #usedefault=True,
+        agstr='--s2v_lambda',
+        desc='Regularisation weight for slice-to-vol movement (reasonable range 1-10)',
+        requires=['slspec'],
+        min_ver='5.0.11')
+
     flm = traits.Enum(
-        "quadratic",
-        "linear",
-        "cubic",
-        use_default=True,
-        argstr="--flm=%s",
-        desc="First level EC model",
-        max_ver="5.0.10",
-    )
-    new_flm = traits.Enum(
-        "quadratic",
-        "movement",
-        "linear",
-        "cubic",
-        use_default=True,
-        argstr="--flm=%s",
-        desc="First level EC model",
-        min_ver="5.0.11",
-    )
+        'linear',
+        'quadratic',
+        'cubic',  # added movement option in 5.0.11
+        argstr='--flm=%s',
+        desc='First level EC model')
+
     slm = traits.Enum(
-        "none",
-        "linear",
-        "quadratic",
-        argstr="--slm=%s",
-        desc="Second level EC model",
-    )
+        'none',
+        'linear',
+        'quadratic',
+        argstr='--slm=%s',
+        desc='Second level EC model')
+
     fwhm = traits.Float(
-        argstr="--fwhm=%s",
-        desc=(
-            "FWHM for conditioning filter when estimating " "the parameters"
-        ),
-    )
+        desc=('FWHM for conditioning filter when estimating '
+              'the parameters'),
+        argstr='--fwhm=%s')
+
     niter = traits.Int(
-        5, usedefault=True, argstr="--niter=%s", desc="Number of iterations"
-    )
-    s2v_niter = traits.Int(
-        5,
+        default_value=5,
         usedefault=True,
-        argstr="--s2v_niter=%s",
-        desc="Number of iterations for slice-to-vol",
-        requires=["slspec"],
-        min_ver="5.0.11",
-    )
-    cnr_maps = traits.Bool(
-        False, desc="Output CNR-Maps", argstr="--cnr_maps", min_ver="5.0.10"
-    )
-    residuals = traits.Bool(
-        False, desc="Output Residuals", argstr="--residuals", min_ver="5.0.10"
-    )
+        argstr='--niter=%s',
+        desc='Number of iterations')
+    s2v_niter = traits.Int(
+        #default_value=5,
+        #usedefault=True,
+        argstr='--s2v_niter=%s',
+        desc='Number of iterations for slice-to-vol',
+        requires=['slspec'],
+        min_ver='5.0.11')
+
     fep = traits.Bool(
-        False, argstr="--fep", desc="Fill empty planes in x- or y-directions"
-    )
+        default_value=False,
+        argstr='--fep',
+        desc='Fill empty planes in x- or y-directions')
+
     interp = traits.Enum(
-        "spline",
-        "trilinear",
-        use_default=True,
-        argstr="--interp=%s",
-        desc="Interpolation model for estimation step",
-    )
+        'spline',
+        'trilinear',
+        argstr='--interp=%s',
+        desc='Interpolation model for estimation step')
     s2v_interp = traits.Enum(
-        "trilinear",
-        "spline",
-        use_default=True,
-        argstr="--s2v_interp=%s",
-        desc="Slice-to-vol interpolation model for estimation step",
-        requires=["slspec"],
-        min_ver="5.0.11",
-    )
+        'trilinear',
+        'spline',
+        argstr='--s2v_interp=%s',
+        desc='Slice-to-vol interpolation model for estimation step',
+        requires=['slspec'],
+        min_ver='5.0.11')
+
     method = traits.Enum(
-        "jac",
-        "lsr",
-        use_default=True,
-        argstr="--resamp=%s",
-        desc=("Final resampling method (jacobian/least " "squares)"),
-    )
+        'jac',
+        'lsr',
+        argstr='--resamp=%s',
+        desc=('Final resampling method (jacobian/least '
+              'squares)'))
+
     nvoxhp = traits.Int(
-        1000,
+        default_value=1000,
         usedefault=True,
-        argstr="--nvoxhp=%s",
-        desc=("# of voxels used to estimate the " "hyperparameters"),
-    )
+        argstr='--nvoxhp=%s',
+        desc=('# of voxels used to estimate the '
+              'hyperparameters'))
+
     initrand = traits.Bool(
-        False,
-        argstr="--initrand",
-        desc="Resets rand for when selecting voxels",
-        min_ver="5.0.10",
-    )
+        default_value=False,
+        argstr='--initrand',
+        desc='Resets rand for when selecting voxels',
+        min_ver='5.0.10')
+
     fudge_factor = traits.Float(
-        10.0,
+        default_value=10.0,
         usedefault=True,
-        argstr="--ff=%s",
-        desc=("Fudge factor for hyperparameter " "error variance"),
-    )
+        argstr='--ff=%s',
+        desc=('Fudge factor for hyperparameter '
+              'error variance'))
+
     repol = traits.Bool(
-        False,
-        argstr="--repol",
-        desc="Detect and replace outlier slices",
-        min_ver="5.0.10",
-    )
+        default_value=False,
+        argstr='--repol',
+        desc='Detect and replace outlier slices')
+
     outlier_nstd = traits.Int(
-        4,
-        usedefault=True,
-        argstr="--ol_nstd",
-        desc="Number of std off to qualify as outlier",
-        requires=["repol"],
-        min_ver="5.0.10",
+        #default_value=4,
+        #usedefault=True,
+        argstr='--ol_nstd',
+        desc='Number of std off to qualify as outlier',
+        requires=['repol'],
+        min_ver='5.0.10',
     )
     outlier_nvox = traits.Int(
-        250,
-        usedefault=True,
-        argstr="--ol_nvox",
-        desc="Min # of voxels in a slice for inclusion in outlier detection",
-        requires=["repol"],
-        min_ver="5.0.10",
+        #default_value=250,
+        #usedefault=True,
+        argstr='--ol_nvox',
+        desc='Min # of voxels in a slice for inclusion in outlier detection',
+        requires=['repol'],
+        min_ver='5.0.10',
     )
     outlier_type = traits.Enum(
-        "sw",
-        "gw",
-        "both",
-        argstr="--ol_type",
-        desc="Type of outliers, slicewise (sw), groupwise (gw) or both (both)",
-        requires=["repol"],
-        min_ver="5.0.10",
+        'sw',
+        'gw',
+        'both',
+        argstr='--ol_type',
+        desc='Type of outliers, slicewise (sw), groupwise (gw) or both (both)',
+        requires=['repol'],
+        min_ver='5.0.10',
     )
     outlier_pos = traits.Bool(
-        False,
-        argstr="--ol_pos",
-        desc="Consider both positive and negative outliers if set",
-        requires=["repol"],
-        min_ver="5.0.10",
+        #default_value=False,
+        argstr='--ol_pos',
+        desc='Consider both positive and negative outliers if set',
+        requires=['repol'],
+        min_ver='5.0.10',
     )
     outlier_sqr = traits.Bool(
-        False,
-        argstr="--ol_sqr",
-        desc="Consider outliers among sums-of-squared differences if set",
-        requires=["repol"],
-        min_ver="5.0.10",
+        #default_value=False,
+        argstr='--ol_sqr',
+        desc='Consider outliers among sums-of-squared differences if set',
+        requires=['repol'],
+        min_ver='5.0.10',
     )
     estimate_move_by_susceptibility = traits.Bool(
-        False,
-        argstr="--estimate_move_by_susceptibility",
-        desc="Estimate how susceptibility field changes with subject movement",
-        min_ver="6.0.1",
+        default_value=False,
+        argstr='--estimate_move_by_susceptibility',
+        desc='Estimate how susceptibility field changes with subject movement',
+        min_ver='6.0.1',
     )
+
     mbs_niter = traits.Int(
-        10,
-        use_default=True,
-        argstr="--mbs_niter=%s",
-        desc="Number of iterations for MBS estimation",
-        requires=["estimate_move_by_susceptibility"],
-        min_ver="6.0.1",
-    )
-    mbs_lambda = traits.int(
-        10,
-        use_default=True,
-        argstr="--mbs_lambda=%s",
-        desc="Weighting of regularisation for MBS estimation",
-        requires=["estimate_move_by_susceptibility"],
-        min_ver="6.0.1",
+        #default_value=10,
+        #use_default=True,
+        argstr='--mbs_niter=%s',
+        desc='Number of iterations for MBS estimation',
+        requires=['estimate_move_by_susceptibility'],
+        min_ver='6.0.1',
+    )
+    mbs_lambda = traits.Int(
+        #default_value=10,
+        #use_default=True,
+        argstr='--mbs_lambda=%s',
+        desc='Weighting of regularisation for MBS estimation',
+        requires=['estimate_move_by_susceptibility'],
+        min_ver='6.0.1',
     )
     mbs_ksp = traits.Int(
-        10,
-        use_default=True,
-        argstr="--mbs_ksp=%smm",
-        desc="Knot-spacing for MBS field estimation",
-        requires=["estimate_move_by_susceptibility"],
-        min_ver="6.0.1",
+        #default_value=10,
+        #use_default=True,
+        argstr='--mbs_ksp=%smm',
+        desc='Knot-spacing for MBS field estimation',
+        requires=['estimate_move_by_susceptibility'],
+        min_ver='6.0.1',
     )
+
     dont_sep_offs_move = traits.Bool(
-        False,
-        argstr="--dont_sep_offs_move",
-        desc=(
-            "Do NOT attempt to separate "
-            "field offset from subject "
-            "movement"
-        ),
-    )
+        default_value=False,
+        argstr='--dont_sep_offs_move',
+        desc=('Do NOT attempt to separate '
+              'field offset from subject '
+              'movement'))
+
     dont_peas = traits.Bool(
-        False,
-        argstr="--dont_peas",
-        desc="Do NOT perform a post-eddy alignment of " "shells",
-    )
+        default_value=False,
+        argstr='--dont_peas',
+        desc='Do NOT perform a post-eddy alignment of '
+        '"shells"')
+
     is_shelled = traits.Bool(
-        False,
-        argstr="--data_is_shelled",
-        desc="Override internal check to ensure that "
-        "date are acquired on a set of b-value "
-        "shells",
-        min_ver="5.0.10",
-    )
+        default_value=False,
+        argstr='--data_is_shelled',
+        desc='Override internal check to ensure that '
+        'date are acquired on a set of b-value '
+        'shells')
 
     num_threads = traits.Int(
-        1, usedefault=True, nohash=True, desc="Number of openmp threads to use"
-    )
-    use_cuda = traits.Bool(False, desc="Run eddy using cuda gpu")
+        default_value=1,
+        usedefault=True,
+        nohash=True,
+        desc='Number of openmp threads to use')
+
+    use_cuda = traits.Bool(
+        default_value=False,
+        desc='Run eddy using cuda gpu')
+    cnr_maps = traits.Bool(
+        default_value=False,
+        desc='Output CNR-Maps',
+        argstr='--cnr_maps',
+        min_ver='5.0.10')
+    residuals = traits.Bool(
+        default_value=False,
+        desc='Output Residuals',
+        argstr='--residuals',
+        min_ver='5.0.10')
 
 
 class EddyOutputSpec(TraitedSpec):
     out_corrected = File(
-        exists=True, desc="4D image file containing all the corrected volumes"
-    )
+        exists=True, desc='4D image file containing all the corrected volumes')
     out_parameter = File(
         exists=True,
-        desc=(
-            "text file with parameters definining the field and"
-            "movement for each scan"
-        ),
-    )
+        desc=('text file with parameters definining the field and'
+              'movement for each scan'))
     out_rotated_bvecs = File(
-        exists=True, desc="File containing rotated b-values for all volumes"
-    )
+        exists=True, desc='File containing rotated b-values for all volumes')
     out_movement_rms = File(
-        exists=True, desc='Summary of the "total movement" in each volume'
-    )
+        exists=True,
+        desc='Summary of the "total movement" in each volume')
     out_restricted_movement_rms = File(
         exists=True,
-        desc=(
-            'Summary of the "total movement" in each volume '
-            "disregarding translation in the PE direction"
-        ),
-    )
+        desc=('Summary of the "total movement" in each volume '
+              'disregarding translation in the PE direction'))
     out_shell_alignment_parameters = File(
         exists=True,
-        desc=(
-            "File containing rigid body movement parameters "
-            "between the different shells as estimated by a "
-            "post-hoc mutual information based registration"
-        ),
-    )
+        desc=('File containing rigid body movement parameters '
+              'between the different shells as estimated by a '
+              'post-hoc mutual information based registration'))
     out_outlier_report = File(
         exists=True,
-        desc=(
-            "Text-file with a plain language report on what "
-            "outlier slices eddy has found"
-        ),
-    )
+        desc=('Text-file with a plain language report on what '
+              'outlier slices eddy has found'))
     out_cnr_maps = File(
-        exists=True, desc="path/name of file with the cnr_maps"
-    )
+        exists=True, desc='path/name of file with the cnr_maps')
     out_residuals = File(
-        exists=True, desc="path/name of file with the residuals"
-    )
+        exists=True, desc='path/name of file with the residuals')
 
 
 class Eddy(FSLCommand):
@@ -380,8 +348,10 @@ class Eddy(FSLCommand):
     <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Eddy/UsersGuide>`_ and
     `more info regarding acqp file
     <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/Faq#How_do_I_know_what_to_put_into_my_--acqp_file>`_.
+
     Examples
     --------
+
     >>> from nipype.interfaces.fsl import Eddy
     >>> eddy = Eddy()
     >>> eddy.inputs.in_file = 'epi.nii'
@@ -401,9 +371,9 @@ class Eddy(FSLCommand):
 --bvecs=bvecs.scheme --imain=epi.nii --index=epi_index.txt \
 --mask=epi_mask.nii --niter=5 --nvoxhp=1000 --out=.../eddy_corrected'
     >>> res = eddy.run() # doctest: +SKIP
-    """
 
-    _cmd = "eddy_openmp"
+    """
+    _cmd = 'eddy_openmp'
     input_spec = EddyInputSpec
     output_spec = EddyOutputSpec
 
@@ -411,40 +381,34 @@ class Eddy(FSLCommand):
 
     def __init__(self, **inputs):
         super(Eddy, self).__init__(**inputs)
-        self.inputs.on_trait_change(self._num_threads_update, "num_threads")
+        self.inputs.on_trait_change(self._num_threads_update, 'num_threads')
         if not isdefined(self.inputs.num_threads):
             self.inputs.num_threads = self._num_threads
         else:
             self._num_threads_update()
-        self.inputs.on_trait_change(self._use_cuda, "use_cuda")
+        self.inputs.on_trait_change(self._use_cuda, 'use_cuda')
         if isdefined(self.inputs.use_cuda):
             self._use_cuda()
 
     def _num_threads_update(self):
         self._num_threads = self.inputs.num_threads
         if not isdefined(self.inputs.num_threads):
-            if "OMP_NUM_THREADS" in self.inputs.environ:
-                del self.inputs.environ["OMP_NUM_THREADS"]
+            if 'OMP_NUM_THREADS' in self.inputs.environ:
+                del self.inputs.environ['OMP_NUM_THREADS']
         else:
-            self.inputs.environ["OMP_NUM_THREADS"] = str(
-                self.inputs.num_threads
-            )
+            self.inputs.environ['OMP_NUM_THREADS'] = str(
+                self.inputs.num_threads)
 
     def _use_cuda(self):
-        self._cmd = "eddy_cuda" if self.inputs.use_cuda else "eddy_openmp"
+        self._cmd = 'eddy_cuda' if self.inputs.use_cuda else 'eddy_openmp'
 
     def _run_interface(self, runtime):
         # If 'eddy_openmp' is missing, use 'eddy'
-        FSLDIR = os.getenv("FSLDIR", "")
+        FSLDIR = os.getenv('FSLDIR', '')
         cmd = self._cmd
-        if all(
-            (
-                FSLDIR != "",
-                cmd == "eddy_openmp",
-                not os.path.exists(os.path.join(FSLDIR, "bin", cmd)),
-            )
-        ):
-            self._cmd = "eddy"
+        if all((FSLDIR != '', cmd == 'eddy_openmp',
+                not os.path.exists(os.path.join(FSLDIR, 'bin', cmd)))):
+            self._cmd = 'eddy'
         runtime = super(Eddy, self)._run_interface(runtime)
 
         # Restore command to avoid side-effects
@@ -452,263 +416,55 @@ def _run_interface(self, runtime):
         return runtime
 
     def _format_arg(self, name, spec, value):
-        if name == "in_topup_fieldcoef":
-            return spec.argstr % value.split("_fieldcoef")[0]
-        if name == "out_base":
+        if name == 'in_topup_fieldcoef':
+            return spec.argstr % value.split('_fieldcoef')[0]
+        if name == 'field':
+            return spec.argstr % value.split('.nii.gz')[0]
+        if name == 'out_base':
             return spec.argstr % os.path.abspath(value)
         return super(Eddy, self)._format_arg(name, spec, value)
 
     def _list_outputs(self):
         outputs = self.output_spec().get()
-        outputs["out_corrected"] = os.path.abspath(
-            "%s.nii.gz" % self.inputs.out_base
-        )
-        outputs["out_parameter"] = os.path.abspath(
-            "%s.eddy_parameters" % self.inputs.out_base
-        )
+        outputs['out_corrected'] = os.path.abspath(
+            '%s.nii.gz' % self.inputs.out_base)
+        outputs['out_parameter'] = os.path.abspath(
+            '%s.eddy_parameters' % self.inputs.out_base)
 
         # File generation might depend on the version of EDDY
         out_rotated_bvecs = os.path.abspath(
-            "%s.eddy_rotated_bvecs" % self.inputs.out_base
-        )
+            '%s.eddy_rotated_bvecs' % self.inputs.out_base)
         out_movement_rms = os.path.abspath(
-            "%s.eddy_movement_rms" % self.inputs.out_base
-        )
+            '%s.eddy_movement_rms' % self.inputs.out_base)
         out_restricted_movement_rms = os.path.abspath(
-            "%s.eddy_restricted_movement_rms" % self.inputs.out_base
-        )
+            '%s.eddy_restricted_movement_rms' % self.inputs.out_base)
         out_shell_alignment_parameters = os.path.abspath(
-            "%s.eddy_post_eddy_shell_alignment_parameters"
-            % self.inputs.out_base
-        )
+            '%s.eddy_post_eddy_shell_alignment_parameters' %
+            self.inputs.out_base)
         out_outlier_report = os.path.abspath(
-            "%s.eddy_outlier_report" % self.inputs.out_base
-        )
+            '%s.eddy_outlier_report' % self.inputs.out_base)
         if isdefined(self.inputs.cnr_maps) and self.inputs.cnr_maps:
             out_cnr_maps = os.path.abspath(
-                "%s.eddy_cnr_maps.nii.gz" % self.inputs.out_base
-            )
+                '%s.eddy_cnr_maps.nii.gz' % self.inputs.out_base)
             if os.path.exists(out_cnr_maps):
-                outputs["out_cnr_maps"] = out_cnr_maps
+                outputs['out_cnr_maps'] = out_cnr_maps
         if isdefined(self.inputs.residuals) and self.inputs.residuals:
             out_residuals = os.path.abspath(
-                "%s.eddy_residuals.nii.gz" % self.inputs.out_base
-            )
+                '%s.eddy_residuals.nii.gz' % self.inputs.out_base)
             if os.path.exists(out_residuals):
-                outputs["out_residuals"] = out_residuals
+                outputs['out_residuals'] = out_residuals
 
         if os.path.exists(out_rotated_bvecs):
-            outputs["out_rotated_bvecs"] = out_rotated_bvecs
+            outputs['out_rotated_bvecs'] = out_rotated_bvecs
         if os.path.exists(out_movement_rms):
-            outputs["out_movement_rms"] = out_movement_rms
+            outputs['out_movement_rms'] = out_movement_rms
         if os.path.exists(out_restricted_movement_rms):
-            outputs[
-                "out_restricted_movement_rms"
-            ] = out_restricted_movement_rms
+            outputs['out_restricted_movement_rms'] = \
+                out_restricted_movement_rms
         if os.path.exists(out_shell_alignment_parameters):
-            outputs[
-                "out_shell_alignment_parameters"
-            ] = out_shell_alignment_parameters
+            outputs['out_shell_alignment_parameters'] = \
+                out_shell_alignment_parameters
         if os.path.exists(out_outlier_report):
-            outputs["out_outlier_report"] = out_outlier_report
-
-        return outputs
-
-
-class EddyQuadInputSpec(FSLCommandInputSpec):
-    base_name = traits.Str(
-        "eddy_corrected",
-        usedefault=True,
-        argstr="%s",
-        desc=(
-            "Basename (including path) for EDDY output files, i.e., "
-            "corrected images and QC files"
-        ),
-        position=0,
-    )
-    idx_file = File(
-        exists=True,
-        mandatory=True,
-        argstr="--eddyIdx %s",
-        desc=(
-            "File containing indices for all volumes into acquisition "
-            "parameters"
-        ),
-    )
-    param_file = File(
-        exists=True,
-        mandatory=True,
-        argstr="--eddyParams %s",
-        desc="File containing acquisition parameters",
-    )
-    mask_file = File(
-        exists=True,
-        mandatory=True,
-        argstr="--mask %s",
-        desc="Binary mask file",
-    )
-    bval_file = File(
-        exists=True, mandatory=True, argstr="--bvals %s", desc="b-values file"
-    )
-    bvec_file = File(
-        exists=True,
-        argstr="--bvecs %s",
-        desc=(
-            "b-vectors file - only used when <base_name>.eddy_residuals "
-            "file is present"
-        ),
-    )
-    output_dir = traits.Str(
-        name_template="%s.qc",
-        name_source=["base_name"],
-        argstr="--output-dir %s",
-        desc="Output directory - default = '<base_name>.qc'",
-    )
-    field = File(
-        exists=True, argstr="--field %s", desc="TOPUP estimated field (in Hz)"
-    )
-    slice_spec = File(
-        exists=True,
-        argstr="--slspec %s",
-        desc="Text file specifying slice/group acquisition",
-    )
-    verbose = traits.Bool(argstr="--verbose", desc="Display debug messages")
-
-
-class EddyQuadOutputSpec(TraitedSpec):
-    qc_json = File(
-        exists=True,
-        desc=(
-            "Single subject database containing quality metrics and data "
-            "info."
-        ),
-    )
-    qc_pdf = File(exists=True, desc="Single subject QC report.")
-    avg_b_png = traits.List(
-        File(exists=True),
-        desc=(
-            "Image showing mid-sagittal, -coronal and -axial slices of "
-            "each averaged b-shell volume."
-        ),
-    )
-    avg_b0_pe_png = traits.List(
-        File(exists=True),
-        desc=(
-            "Image showing mid-sagittal, -coronal and -axial slices of "
-            "each averaged pe-direction b0 volume. Generated when using "
-            "the -f option."
-        ),
-    )
-    cnr_png = traits.List(
-        File(exists=True),
-        desc=(
-            "Image showing mid-sagittal, -coronal and -axial slices of "
-            "each b-shell CNR volume. Generated when CNR maps are "
-            "available."
-        ),
-    )
-    vdm_png = File(
-        exists=True,
-        desc=(
-            "Image showing mid-sagittal, -coronal and -axial slices of "
-            "the voxel displacement map. Generated when using the -f "
-            "option."
-        ),
-    )
-    residuals = File(
-        exists=True,
-        desc=(
-            "Text file containing the volume-wise mask-averaged squared "
-            "residuals. Generated when residual maps are available."
-        ),
-    )
-    clean_volumes = File(
-        exists=True,
-        desc=(
-            "Text file containing a list of clean volumes, based on "
-            "the eddy squared residuals. To generate a version of the "
-            "pre-processed dataset without outlier volumes, use: "
-            "`fslselectvols -i <eddy_corrected_data> -o "
-            "eddy_corrected_data_clean --vols=vols_no_outliers.txt`"
-        ),
-    )
-
-
-class EddyQuad(FSLCommand):
-    """
-    Interface for FSL eddy_quad, a tool for generating single subject reports
-    and storing the quality assessment indices for each subject.
-    `User guide <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddyqc/UsersGuide>`_
-    Examples
-    --------
-    >>> from nipype.interfaces.fsl import EddyQuad
-    >>> quad = EddyQuad()
-    >>> quad.inputs.base_name  = 'eddy_corrected'
-    >>> quad.inputs.idx_file   = 'epi_index.txt'
-    >>> quad.inputs.param_file = 'epi_acqp.txt'
-    >>> quad.inputs.mask_file  = 'epi_mask.nii'
-    >>> quad.inputs.bval_file  = 'bvals.scheme'
-    >>> quad.inputs.bvec_file  = 'bvecs.scheme'
-    >>> quad.inputs.output_dir = 'eddy_corrected.qc'
-    >>> quad.inputs.field      = 'fieldmap_phase_fslprepared.nii'
-    >>> quad.inputs.verbose    = True
-    >>> quad.cmdline
-    'eddy_quad eddy_corrected --bvals bvals.scheme --bvecs bvecs.scheme \
---field fieldmap_phase_fslprepared.nii --eddyIdx epi_index.txt \
---mask epi_mask.nii --output-dir eddy_corrected.qc --eddyParams epi_acqp.txt \
---verbose'
-    >>> res = quad.run() # doctest: +SKIP
-    """
-
-    _cmd = "eddy_quad"
-    input_spec = EddyQuadInputSpec
-    output_spec = EddyQuadOutputSpec
-
-    def _list_outputs(self):
-        from glob import glob
-
-        outputs = self.output_spec().get()
-
-        # If the output directory isn't defined, the interface seems to use
-        # the default but not set its value in `self.inputs.output_dir`
-        if not isdefined(self.inputs.output_dir):
-            out_dir = os.path.abspath(
-                os.path.basename(self.inputs.base_name) + ".qc"
-            )
-        else:
-            out_dir = os.path.abspath(self.inputs.output_dir)
-
-        outputs["qc_json"] = os.path.join(out_dir, "qc.json")
-        outputs["qc_pdf"] = os.path.join(out_dir, "qc.pdf")
-
-        # Grab all b* files here. This will also grab the b0_pe* files
-        # as well, but only if the field input was provided. So we'll remove
-        # them later in the next conditional.
-        outputs["avg_b_png"] = sorted(
-            glob(os.path.join(out_dir, "avg_b*.png"))
-        )
-
-        if isdefined(self.inputs.field):
-            outputs["avg_b0_pe_png"] = sorted(
-                glob(os.path.join(out_dir, "avg_b0_pe*.png"))
-            )
-
-            # The previous glob for `avg_b_png` also grabbed the
-            # `avg_b0_pe_png` files so we have to remove them
-            # from `avg_b_png`.
-            for fname in outputs["avg_b0_pe_png"]:
-                outputs["avg_b_png"].remove(fname)
-
-            outputs["vdm_png"] = os.path.join(out_dir, "vdm.png")
-
-        outputs["cnr_png"] = sorted(glob(os.path.join(out_dir, "cnr*.png")))
-
-        residuals = os.path.join(out_dir, "eddy_msr.txt")
-        if os.path.isfile(residuals):
-            outputs["residuals"] = residuals
-
-        clean_volumes = os.path.join(out_dir, "vols_no_outliers.txt")
-        if os.path.isfile(clean_volumes):
-            outputs["clean_volumes"] = clean_volumes
+            outputs['out_outlier_report'] = out_outlier_report
 
         return outputs
diff --git a/dmripreproc/interfaces/mrtrix3.py b/dmripreproc/interfaces/mrtrix3.py
index c1f55613..74dd378f 100644
--- a/dmripreproc/interfaces/mrtrix3.py
+++ b/dmripreproc/interfaces/mrtrix3.py
@@ -14,38 +14,37 @@
 class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):
     in_file = File(
         exists=True,
-        argstr="%s",
+        argstr='%s',
         position=-2,
         mandatory=True,
-        desc="input DWI image",
-    )
-    mask = File(exists=True, argstr="-mask %s", position=1, desc="mask image")
+        desc='input DWI image')
+    mask = File(
+        exists=True,
+        argstr='-mask %s',
+        position=1,
+        desc='mask image')
     extent = traits.Tuple(
         (traits.Int, traits.Int, traits.Int),
-        argstr="-extent %d,%d,%d",
-        desc="set the window size of the denoising filter. (default = 5,5,5)",
-    )
+        argstr='-extent %d,%d,%d',
+        desc='set the window size of the denoising filter. (default = 5,5,5)')
     noise = File(
-        argstr="-noise %s",
-        name_template="%s_noise",
-        name_source=["in_file"],
+        argstr='-noise %s',
+        name_template='%s_noise',
+        name_source='in_file',
         keep_extension=True,
-        desc="the output noise map",
-    )
+        desc='the output noise map')
     out_file = File(
-        argstr="%s",
-        name_template="%s_denoised",
-        name_source=["in_file"],
-        keep_extension=True,
+        argstr='%s',
         position=-1,
-        desc="the output denoised DWI image",
-    )
+        name_template='%s_denoised',
+        name_source='in_file',
+        keep_extension=True,
+        desc='the output denoised DWI image')
 
 
 class DWIDenoiseOutputSpec(TraitedSpec):
-    out_file = File(desc="the output denoised DWI image", exists=True)
-    noise = File(desc="the output noise map (if generated)", exists=True)
-
+    noise = File(desc='the output noise map', exists=True)
+    out_file = File(desc='the output denoised DWI image', exists=True)
 
 class DWIDenoise(MRTrix3Base):
     """
@@ -67,12 +66,13 @@ class DWIDenoise(MRTrix3Base):
     >>> denoise = mrt.DWIDenoise()
     >>> denoise.inputs.in_file = 'dwi.mif'
     >>> denoise.inputs.mask = 'mask.mif'
+    >>> denoise.inputs.noise = 'noise.mif'
     >>> denoise.cmdline                               # doctest: +ELLIPSIS
-    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'
+    'dwidenoise -mask mask.mif -noise noise.mif dwi.mif dwi_denoised.mif'
     >>> denoise.run()                                 # doctest: +SKIP
     """
 
-    _cmd = "dwidenoise"
+    _cmd = 'dwidenoise'
     input_spec = DWIDenoiseInputSpec
     output_spec = DWIDenoiseOutputSpec
 
@@ -80,55 +80,46 @@ class DWIDenoise(MRTrix3Base):
 class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):
     in_file = File(
         exists=True,
-        argstr="%s",
+        argstr='%s',
         position=-2,
         mandatory=True,
-        desc="input DWI image",
-    )
+        desc='input DWI image')
     axes = traits.ListInt(
         default_value=[0, 1],
         usedefault=True,
-        sep=",",
+        sep=',',
         minlen=2,
         maxlen=2,
-        argstr="-axes %s",
-        desc="indicate the plane in which the data was acquired (axial = 0,1; "
-        "coronal = 0,2; sagittal = 1,2",
-    )
+        argstr='-axes %s',
+        desc='indicate the plane in which the data was acquired (axial = 0,1; '
+             'coronal = 0,2; sagittal = 1,2')
     nshifts = traits.Int(
         default_value=20,
         usedefault=True,
-        argstr="-nshifts %d",
-        desc="discretization of subpixel spacing (default = 20)",
-    )
+        argstr='-nshifts %d',
+        desc='discretization of subpixel spacing (default = 20)')
     minW = traits.Int(
         default_value=1,
         usedefault=True,
-        argstr="-minW %d",
-        desc="left border of window used for total variation (TV) computation "
-        "(default = 1)",
-    )
+        argstr='-minW %d',
+        desc='left border of window used for total variation (TV) computation '
+             '(default = 1)')
     maxW = traits.Int(
         default_value=3,
         usedefault=True,
-        argstr="-maxW %d",
-        desc="right border of window used for total variation (TV) computation "
-        "(default = 3)",
-    )
+        argstr='-maxW %d',
+        desc='right border of window used for total variation (TV) computation '
+             '(default = 3)')
     out_file = File(
-        name_template="%s_unr",
-        name_source="in_file",
+        name_template='%s_unr',
+        name_source='in_file',
         keep_extension=True,
-        argstr="%s",
+        argstr='%s',
         position=-1,
-        desc="the output unringed DWI image",
-        genfile=True,
-    )
-
+        desc='the output unringed DWI image')
 
 class MRDeGibbsOutputSpec(TraitedSpec):
-    out_file = File(desc="the output unringed DWI image", exists=True)
-
+    out_file = File(desc='the output unringed DWI image', exists=True)
 
 class MRDeGibbs(MRTrix3Base):
     """
@@ -160,7 +151,7 @@ class MRDeGibbs(MRTrix3Base):
     >>> unring.run()                                 # doctest: +SKIP
     """
 
-    _cmd = "mrdegibbs"
+    _cmd = 'mrdegibbs'
     input_spec = MRDeGibbsInputSpec
     output_spec = MRDeGibbsOutputSpec
 
@@ -214,11 +205,9 @@ class MRResizeInputSpec(MRTrix3BaseInputSpec):
         desc="the output resized DWI image",
     )
 
-
 class MRResizeOutputSpec(TraitedSpec):
     out_file = File(desc="the output resized DWI image", exists=True)
 
-
 class MRResize(MRTrix3Base):
     """
     Resize an image by defining the new image resolution, voxel size or a scale factor

From d919825f9d8e172496dd76953c492bed2ec48bd2 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 1 Aug 2019 16:35:39 -0400
Subject: [PATCH 100/156] refactor

---
 .gitattributes                                |    1 +
 .github/ISSUE_TEMPLATE.md                     |    2 +-
 .gitignore                                    |    3 +
 .travis.yml                                   |    2 +-
 AUTHORS.rst                                   |   11 +-
 CONTRIBUTING.rst                              |   28 +-
 Dockerfile                                    |   32 +-
 MANIFEST.in                                   |    2 +
 Makefile                                      |    8 +-
 README.rst                                    |  104 +-
 REFERENCES.rst                                |   20 +
 {dmripreproc => dmriprep}/__init__.py         |   12 +-
 dmriprep/_version.py                          |  520 +++++
 {dmripreproc => dmriprep}/cli.py              |   42 +-
 .../data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz  |  Bin 0 -> 3597008 bytes
 .../ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz  |  Bin 0 -> 100759 bytes
 .../ENIGMA_DTI_FA_skeleton.nii.gz             |  Bin 0 -> 475000 bytes
 .../ENIGMA_DTI_FA_skeleton_mask.nii.gz        |  Bin 0 -> 152076 bytes
 .../ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz    |  Bin 0 -> 937282 bytes
 dmriprep/data/boilerplate.bib                 |  188 ++
 .../interfaces/__init__.py                    |    0
 {dmripreproc => dmriprep}/interfaces/fmap.py  |    0
 dmriprep/interfaces/mrtrix3.py                |   86 +
 {dmripreproc => dmriprep}/qc.py               |    0
 {dmripreproc => dmriprep}/utils/__init__.py   |    0
 {dmripreproc => dmriprep}/utils/bids.py       |    0
 {dmripreproc => dmriprep}/utils/hemisphere.py |    0
 .../workflows/__init__.py                     |    0
 {dmripreproc => dmriprep}/workflows/base.py   |   40 +-
 dmriprep/workflows/dwi/__init__.py            |    7 +
 dmriprep/workflows/dwi/base.py                |  453 ++++
 dmriprep/workflows/dwi/denoise.py             |   28 +
 .../workflows/dwi/outputs.py                  |   54 +-
 dmriprep/workflows/dwi/remove_artefacts.py    |   60 +
 .../workflows/dwi/tbss.py                     |   20 +-
 dmriprep/workflows/dwi/tensor.py              |   45 +
 dmriprep/workflows/dwi/unring.py              |   28 +
 .../workflows/fieldmap/__init__.py            |    0
 .../workflows/fieldmap/base.py                |   22 +-
 .../workflows/fieldmap/fmap.py                |    0
 .../workflows/fieldmap/pepolar.py             |  120 +-
 .../workflows/fieldmap/phasediff.py           |   26 +-
 dmripreproc/interfaces/fsl.py                 |  470 -----
 dmripreproc/interfaces/mrtrix3.py             |  229 ---
 dmripreproc/workflows/dwi/__init__.py         |    5 -
 dmripreproc/workflows/dwi/base.py             |  359 ----
 dmripreproc/workflows/dwi/dwiprep.py          |   73 -
 docs/Makefile                                 |    2 +-
 docs/conf.py                                  |   67 +-
 docs/dmriprep.interfaces.rst                  |   30 +
 docs/dmriprep.rst                             |   39 +
 docs/dmriprep.utils.rst                       |   30 +
 docs/dmriprep.workflows.dwi.rst               |   70 +
 docs/dmriprep.workflows.fieldmap.rst          |   46 +
 docs/dmriprep.workflows.rst                   |   30 +
 docs/dmripreproc.interfaces.rst               |   38 -
 docs/dmripreproc.rst                          |   39 -
 docs/dmripreproc.utils.rst                    |   30 -
 docs/dmripreproc.workflows.dwi.rst            |   46 -
 docs/dmripreproc.workflows.fieldmap.rst       |   46 -
 docs/dmripreproc.workflows.rst                |   30 -
 docs/img/dmriprep_icon.svg                    |    4 +-
 docs/index.rst                                |    5 +-
 docs/installation.rst                         |   16 +-
 docs/make.bat                                 |    2 +-
 docs/modules.rst                              |    6 +-
 docs/readme.rst                               |    1 +
 docs/usage.rst                                |    4 +-
 references.xlsx                               |  Bin 0 -> 9755 bytes
 requirements.txt                              |    1 +
 setup.cfg                                     |  107 +-
 setup.py                                      |   17 +-
 tests/__init__.py                             |    2 +-
 .../{test_dmripreproc.py => test_dmriprep.py} |    4 +-
 tests/test_utils.py                           |    4 +-
 tox.ini                                       |    2 +-
 versioneer.py                                 | 1822 +++++++++++++++++
 77 files changed, 3990 insertions(+), 1650 deletions(-)
 create mode 100644 .gitattributes
 create mode 100644 REFERENCES.rst
 rename {dmripreproc => dmriprep}/__init__.py (80%)
 create mode 100644 dmriprep/_version.py
 rename {dmripreproc => dmriprep}/cli.py (88%)
 create mode 100755 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz
 create mode 100644 dmriprep/data/boilerplate.bib
 rename {dmripreproc => dmriprep}/interfaces/__init__.py (100%)
 rename {dmripreproc => dmriprep}/interfaces/fmap.py (100%)
 create mode 100644 dmriprep/interfaces/mrtrix3.py
 rename {dmripreproc => dmriprep}/qc.py (100%)
 rename {dmripreproc => dmriprep}/utils/__init__.py (100%)
 rename {dmripreproc => dmriprep}/utils/bids.py (100%)
 rename {dmripreproc => dmriprep}/utils/hemisphere.py (100%)
 rename {dmripreproc => dmriprep}/workflows/__init__.py (100%)
 rename {dmripreproc => dmriprep}/workflows/base.py (68%)
 create mode 100644 dmriprep/workflows/dwi/__init__.py
 create mode 100755 dmriprep/workflows/dwi/base.py
 create mode 100644 dmriprep/workflows/dwi/denoise.py
 rename {dmripreproc => dmriprep}/workflows/dwi/outputs.py (57%)
 create mode 100644 dmriprep/workflows/dwi/remove_artefacts.py
 rename {dmripreproc => dmriprep}/workflows/dwi/tbss.py (63%)
 create mode 100644 dmriprep/workflows/dwi/tensor.py
 create mode 100644 dmriprep/workflows/dwi/unring.py
 rename {dmripreproc => dmriprep}/workflows/fieldmap/__init__.py (100%)
 rename {dmripreproc => dmriprep}/workflows/fieldmap/base.py (92%)
 rename {dmripreproc => dmriprep}/workflows/fieldmap/fmap.py (100%)
 rename {dmripreproc => dmriprep}/workflows/fieldmap/pepolar.py (60%)
 rename {dmripreproc => dmriprep}/workflows/fieldmap/phasediff.py (85%)
 delete mode 100644 dmripreproc/interfaces/fsl.py
 delete mode 100644 dmripreproc/interfaces/mrtrix3.py
 delete mode 100644 dmripreproc/workflows/dwi/__init__.py
 delete mode 100755 dmripreproc/workflows/dwi/base.py
 delete mode 100644 dmripreproc/workflows/dwi/dwiprep.py
 create mode 100644 docs/dmriprep.interfaces.rst
 create mode 100644 docs/dmriprep.rst
 create mode 100644 docs/dmriprep.utils.rst
 create mode 100644 docs/dmriprep.workflows.dwi.rst
 create mode 100644 docs/dmriprep.workflows.fieldmap.rst
 create mode 100644 docs/dmriprep.workflows.rst
 delete mode 100644 docs/dmripreproc.interfaces.rst
 delete mode 100644 docs/dmripreproc.rst
 delete mode 100644 docs/dmripreproc.utils.rst
 delete mode 100644 docs/dmripreproc.workflows.dwi.rst
 delete mode 100644 docs/dmripreproc.workflows.fieldmap.rst
 delete mode 100644 docs/dmripreproc.workflows.rst
 create mode 100644 docs/readme.rst
 create mode 100644 references.xlsx
 rename tests/{test_dmripreproc.py => test_dmriprep.py} (93%)
 create mode 100644 versioneer.py

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 00000000..cd5a1171
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1 @@
+dmriprep/_version.py export-subst
diff --git a/.github/ISSUE_TEMPLATE.md b/.github/ISSUE_TEMPLATE.md
index 48e96685..82215755 100644
--- a/.github/ISSUE_TEMPLATE.md
+++ b/.github/ISSUE_TEMPLATE.md
@@ -1,4 +1,4 @@
-* dmripreproc version:
+* dmriprep version:
 * Python version:
 * Operating System:
 
diff --git a/.gitignore b/.gitignore
index 3cae9a46..dd9e5e57 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,3 +103,6 @@ ENV/
 
 # Mac OS nonsense:
 .DS_Store
+
+# miscellaneous
+references/
diff --git a/.travis.yml b/.travis.yml
index 8fe62773..24e4f339 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -31,5 +31,5 @@ deploy:
     secure: PLEASE_REPLACE_ME
   on:
     tags: true
-    repo: tigrlab/dmripreproc
+    repo: tigrlab/dmriprep
     python: 3.7
diff --git a/AUTHORS.rst b/AUTHORS.rst
index 017e8668..c098d571 100644
--- a/AUTHORS.rst
+++ b/AUTHORS.rst
@@ -1,14 +1,19 @@
-============
+=======
 Credits
-============
+=======
 
 Development Leads
 -----------------
 
+- Anisha Keshavan <keshavan@berkeley.edu> [Corresponding developer]
+- Adam Richie-Halford <richiehalford@gmail.com>
+
 - Michael Joseph <michael.joseph@camh.ca> [Corresponding developer]
 - Salim Mansour <salim.mansour@camh.ca>
 
 Contributors
 ------------
 
-None yet. Why not be the first?
+- Ariel Rokem <arokem@uw.edu>
+- Michael Joseph <michael.joseph@camh.ca>
+- Salim Mansour <salim.mansour@camh.ca>
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 849e7da1..6ddb7eaa 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -7,10 +7,10 @@ Contributing
 Contributions are welcome, and they are greatly appreciated! Every little bit
 helps, and credit will always be given.
 
-Installing a development version of dmripreproc
+Installing a development version of dmriprep
 --------------------------------------------
 
-First, you can install a development version of dmripreproc by cloning this repository
+First, you can install a development version of dmriprep by cloning this repository
 and then typing::
 
     $ pip install -e .[dev]
@@ -32,7 +32,7 @@ You can contribute in many ways:
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/tigrlab/dmripreproc/issues.
+Report bugs at https://github.com/nipy/dmriprep/issues.
 
 If you are reporting a bug, please include:
 
@@ -55,14 +55,14 @@ and "help wanted" is open to whoever wants to implement it.
 Write Documentation
 ~~~~~~~~~~~~~~~~~~~
 
-dmripreproc could always use more documentation, whether as part of the
-official dmripreproc docs, in docstrings, or even on the web in blog posts,
+dmriprep could always use more documentation, whether as part of the
+official dmriprep docs, in docstrings, or even on the web in blog posts,
 articles, and such.
 
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/tigrlab/dmripreproc/issues.
+The best way to send feedback is to file an issue at https://github.com/nipy/dmriprep/issues.
 
 If you are proposing a feature:
 
@@ -74,17 +74,17 @@ If you are proposing a feature:
 Get Started!
 ------------
 
-Ready to contribute? Here's how to set up `dmripreproc` for local development.
+Ready to contribute? Here's how to set up `dmriprep` for local development.
 
-1. Fork the `dmripreproc` repo on GitHub.
+1. Fork the `dmriprep` repo on GitHub.
 2. Clone your fork locally::
 
-    $ git clone git@github.com:your_name_here/dmripreproc.git
+    $ git clone git@github.com:your_name_here/dmriprep.git
 
 3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::
 
-    $ mkvirtualenv dmripreproc
-    $ cd dmripreproc/
+    $ mkvirtualenv dmriprep
+    $ cd dmriprep/
     $ python setup.py develop
 
 4. Create a branch for local development::
@@ -96,7 +96,7 @@ Ready to contribute? Here's how to set up `dmripreproc` for local development.
 5. When you're done making changes, check that your changes pass flake8 and the
    tests, including testing other Python versions with tox::
 
-    $ flake8 dmripreproc tests
+    $ flake8 dmriprep tests
     $ python setup.py test or py.test
     $ tox
 
@@ -120,7 +120,7 @@ Before you submit a pull request, check that it meets these guidelines:
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
 3. The pull request should work for Python 3.5, 3.6 and 3.7, and for PyPy. Check
-   https://travis-ci.org/tigrlab/dmripreproc/pull_requests
+   https://travis-ci.org/tigrlab/dmriprep/pull_requests
    and make sure that the tests pass for all supported Python versions.
 
 When opening a pull request, please use one of the following prefixes:
@@ -137,7 +137,7 @@ Tips
 
 To run a subset of tests::
 
-$ py.test tests.test_dmripreproc
+$ py.test tests.test_dmriprep
 
 
 Deploying
diff --git a/Dockerfile b/Dockerfile
index a44134b7..4195949d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,5 @@
-FROM poldracklab/fmriprep:1.3.2
+# Use Ubuntu 16.04 LTS
+FROM ubuntu:xenial-20190610
 
 # Used command:
 # neurodocker generate docker --base=debian:stretch --pkg-manager=apt
@@ -8,16 +9,19 @@ FROM poldracklab/fmriprep:1.3.2
 # Getting required installation tools
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
+        apt-utils \
+        bzip2 \
+        ca-certificates \
+        curl \
+        locales \
+        unzip \
         bc \
         libtool \
         tar \
         dpkg \
-        curl \
         wget \
-        unzip \
         gcc \
         git \
-        bzip2 \
         libstdc++6
 
 # Neurodocker Setup
@@ -52,10 +56,12 @@ RUN export ND_ENTRYPOINT="/neurodocker/startup.sh" \
 
 ENTRYPOINT ["/neurodocker/startup.sh"]
 
+# install ANTS v2.3.1
+curl -sSL https://github.com/ANTsX/ANTs/archive/v2.3.1.tar.gz
+
+
 # ANTS (used from BIDS-Apps https://github.com/BIDS-Apps/dockerfile-templates/blob/master/ANTs/Dockerfile)
-RUN apt-get update && \
-    apt-get install -y curl && \
-		mkdir -p /opt/ants && \
+RUN mkdir -p /opt/ants && \
     curl -sSL "https://github.com/stnava/ANTs/releases/download/v2.1.0/Linux_Ubuntu14.04.tar.bz2" \
     | tar -xjC /opt/ants --strip-components 1 && \
     rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
@@ -193,12 +199,12 @@ RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         libopenblas-base
 
-# setting up an install of dmripreproc (manual version) inside the container
-ADD https://api.github.com/repos/TIGRLab/dmripreproc/git/refs/heads/master version.json
-RUN git clone -b master https://github.com/TIGRLab/dmripreproc.git
-#RUN mkdir dmripreproc
-#COPY ./ dmripreproc/
-RUN cd dmripreproc && ls && python setup.py install && pip list
+# setting up an install of dmriprep (manual version) inside the container
+ADD https://api.github.com/repos/TIGRLab/dmriprep/git/refs/heads/master version.json
+RUN git clone -b master https://github.com/TIGRLab/dmriprep.git
+#RUN mkdir dmriprep
+#COPY ./ dmriprep/
+RUN cd dmriprep && ls && python setup.py install && pip list
 RUN pip install pybids==0.9.1 && pip list
 
 ENTRYPOINT ["dmriprep"]
diff --git a/MANIFEST.in b/MANIFEST.in
index 965b2dda..dbcde41c 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -9,3 +9,5 @@ recursive-exclude * __pycache__
 recursive-exclude * *.py[co]
 
 recursive-include docs *.rst conf.py Makefile make.bat *.jpg *.png *.gif
+include versioneer.py
+include dmriprep/_version.py
diff --git a/Makefile b/Makefile
index 4c048710..7f76d452 100644
--- a/Makefile
+++ b/Makefile
@@ -51,7 +51,7 @@ clean-test: ## remove test and coverage artifacts
 	rm -fr .pytest_cache
 
 lint: ## check style with flake8
-	flake8 dmripreproc tests
+	flake8 dmriprep tests
 
 test: ## run tests quickly with the default Python
 	py.test
@@ -60,15 +60,15 @@ test-all: ## run tests on every Python version with tox
 	tox
 
 coverage: ## check code coverage quickly with the default Python
-	coverage run --source dmripreproc -m pytest
+	coverage run --source dmriprep -m pytest
 	coverage report -m
 	coverage html
 	$(BROWSER) htmlcov/index.html
 
 docs: ## generate Sphinx HTML documentation, including API docs
-	rm -f docs/dmripreproc.rst
+	rm -f docs/dmriprep.rst
 	rm -f docs/modules.rst
-	sphinx-apidoc -o docs/ dmripreproc
+	sphinx-apidoc -o docs/ dmriprep
 	$(MAKE) -C docs clean
 	$(MAKE) -C docs html
 	$(BROWSER) docs/_build/html/index.html
diff --git a/README.rst b/README.rst
index ac722cbd..e817faf4 100644
--- a/README.rst
+++ b/README.rst
@@ -1,77 +1,88 @@
-.. image:: https://codecov.io/gh/TIGRLab/dmripreproc/branch/master/graph/badge.svg
+.. highlight:: shell
+
+===========
+dmriprep
+===========
+
+.. image:: https://codecov.io/gh/TIGRLab/dmriprep/branch/master/graph/badge.svg
   :alt: Codecov Badge
-  :target: https://codecov.io/gh/TIGRLab/dmripreproc
+  :target: https://codecov.io/gh/TIGRLab/dmriprep
 .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :alt: Black Badge
   :target: https://github.com/python/black
 .. image:: https://api.codacy.com/project/badge/Grade/f45ec5c64894427a8860cc87cda1910a
    :alt: Codacy Badge
-   :target: https://app.codacy.com/app/josephmje/dmripreproc?utm_source=github.com&utm_medium=referral&utm_content=TIGRLab/dmripreproc&utm_campaign=Badge_Grade_Dashboard
-
-# <img alt="dmripreproc" src="docs/img/dmripreproc_icon.svg" height="128"> dmripreproc
+   :target: https://app.codacy.com/app/josephmje/dmriprep?utm_source=github.com&utm_medium=referral&utm_content=TIGRLab/dmriprep&utm_campaign=Badge_Grade_Dashboard
 
 Preprocessing of neuroimaging data in preparation for AFQ analysis
+------------------------------------------------------------------
 
 * Free software: BSD license
-* Documentation: https://dmripreproc.readthedocs.io.
+* Documentation: https://dmriprep.readthedocs.io.
 
-## Preparing your data
+Preparing your data
+-------------------
 
 You should have raw data organized in the BIDS format. Also, you should have run Freesurfer and the results should be in a derivatives/ folder:
 
-    BIDS_input_dir
-    ├── sub-01
-    │   ├── dwi
-    │   │   ├── sub-01_ses-01_dwi.nii.gz
-    │   │   ├── sub-01_ses-01_dwi.bval
-    │   │   ├── sub-01_ses-01_dwi.bvec
-    │   ├── fmap
-    │   │   ├── sub-01_ses-01_acq-dwi_dir-AP_epi.nii.gz
-    │   │   ├── sub-01_ses-01_acq-dwi_dir-PA_epi.nii.gz
-    │   │   ├── sub-01_ses-01_acq-dwi_dir-AP_epi.json
-    │   │   ├── sub-01_ses-01_acq-dwi_dir-PA_epi.json
-    ├── derivatives
-    │   ├── sub-01
-    │   │   ├── freesurfer
-
-## Quickstart
-
-```bash
-git clone https://github.com/tigrlab/dmripreproc
-cd dmripreproc
-python setup.py install
-
-dmripreproc $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
+```
+bids
+├── derivatives
+│   └── sub-01
+│       └── freesurfer
+└── sub-01
+  ├── dwi
+  │   ├── sub-01_ses-01_dwi.bval
+  │   ├── sub-01_ses-01_dwi.bvec
+  │   ├── sub-01_ses-01_dwi.json
+  │   └── sub-01_ses-01_dwi.nii.gz
+  └── fmap
+      ├── sub-01_ses-01_acq-dwi_dir-AP_epi.json
+      ├── sub-01_ses-01_acq-dwi_dir-AP_epi.nii.gz
+      ├── sub-01_ses-01_acq-dwi_dir-PA_epi.json
+      └── sub-01_ses-01_acq-dwi_dir-PA_epi.nii.gz
 ```
 
-```bash
-git clone https://github.com/tigrlab/dmripreproc
-cd dmripreproc
-make docker
+Quickstart
+----------
+
+.. code-block:: bash
+  git clone https://github.com/tigrlab/dmriprep
+  cd dmriprep
+  python setup.py install
 
-# If you don't want to log into the docker image:
+  dmriprep $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
 
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmripreproc:prod dmripreproc /inputs /outputs
+.. code-block:: bash
+git clone https://github.com/tigrlab/dmriprep
+cd dmriprep
+make docker
 
-# If you want to log into the image:
+If you don't want to log into the docker image:
+.. code-block:: bash
+docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod dmriprep /inputs /outputs
 
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmripreproc:prod
+If you want to log into the image:
+.. code-block:: bash
+docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod
 
-# Run this inside the docker image:
-dmripreproc /inputs /outpus --participant-label 01
-```
+Run this inside the docker image:
+.. code-block:: bash
+dmriprep /inputs /output --participant-label 01
 
-## Features
+Features
+--------
 
 * TODO
 
-## Contributing
+Contributing
+------------
 
-We love contributions! dmripreproc is open source, built on open source,
+We love contributions! dmriprep is open source, built on open source,
 and we'd love to have you hang out in our community.
 
 We have developed some [guidelines](CONTRIBUTING.rst) for contributing to
-dmripreproc.
+dmriprep.
 
 **Imposter syndrome disclaimer**: We want your help. No, really.
 
@@ -96,7 +107,8 @@ most valuable to the project as a whole, because you're coming to the
 project with fresh eyes, so you can see the errors and assumptions that
 seasoned contributors have glossed over.
 
-## Credits
+Credits
+-------
 
 This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [`audreyr/cookiecutter-pypackage`](https://github.com/audreyr/cookiecutter-pypackage) project template.
 
diff --git a/REFERENCES.rst b/REFERENCES.rst
new file mode 100644
index 00000000..da338637
--- /dev/null
+++ b/REFERENCES.rst
@@ -0,0 +1,20 @@
+
+Veraart et al. Denoising of diffusion MRI using random matrix theory (2016). Neuroimage 142:394-406
+Kellner et al. Gibbs‐ringing artifact removal based on local subvoxel‐shifts (2016). Magn Reson Med 76:1574–1581
+
+When using eddy and its QC tools, we ask you to please reference the papers describing the different aspects of the modelling and corrections. The (Andersson & Sotiropoulos, 2016) paper is the main eddy reference and should always be be cited when using eddy. The (Bastiani et al., 2019) paper is the main eddy QC reference and should always be be cited when using the QC tools. When using topup to estimate a fieldmap prior to running eddy one should also cite (Andersson et al., 2003). If you have used eddy to detect and replace outlier slices (by adding --repol to the eddy command line), please also cite (Andersson et al., 2016). If eddy was used to estimate and correct for intra-volume (slice-to-vol) movement by specifying --mporder, please also cite (Andersson et al., 2017). Finally, if you asked eddy to model how the susceptibility-induced distortions change as a consequence of subject movement (with the --estimate_move_by_susceptibility flag), please cite (Andersson et al., 2018).
+
+
+REFERENCES
+
+Jesper L.R. Andersson, Stefan Skare and John Ashburner. 2003. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage 20:870-888
+
+Jesper L.R. Andersson and Stamatios N. Sotiropoulos. 2016. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage 125:1063-1078
+
+Jesper L.R. Andersson, Mark S. Graham, Eniko Zsoldos and Stamatios N. Sotiropoulos. 2016. Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage 141:556-572
+
+Jesper L.R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Nicola Filippini and Matteo Bastiani. 2017. Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement. NeuroImage 152:450-466
+
+Jesper L.R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang and Jon Campbell. 2018. Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data. NeuroImage 171:277-295
+
+Matteo Bastiani, Michiel Cottaar, Sean P. Fitzgibbon, Sana Suri, Fidel Alfaro-Almagro, Stamatios N. Sotiropoulos, Saad Jbabdi and Jesper L.R. Andersson. 2019. Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. NeuroImage 184:801-812
diff --git a/dmripreproc/__init__.py b/dmriprep/__init__.py
similarity index 80%
rename from dmripreproc/__init__.py
rename to dmriprep/__init__.py
index b6dbc11a..100d44ff 100644
--- a/dmripreproc/__init__.py
+++ b/dmriprep/__init__.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Top-level package for dmripreproc."""
+"""Top-level package for dmriprep."""
 
 __author__ = """Michael Joseph"""
 __email__ = "michael.joseph@camh.ca"
@@ -22,13 +22,13 @@
 
 # get the log level from environment variable
 if "DMIRPREP_LOGLEVEL" in os.environ:
-    loglevel = os.environ["dmripreproc_LOGLEVEL"]
+    loglevel = os.environ["dmriprep_LOGLEVEL"]
     module_logger.setLevel(getattr(logging, loglevel.upper()))
 else:
     module_logger.setLevel(logging.WARNING)
 
 # create a file handler
-logpath = os.path.join(os.path.expanduser("~"), ".dmripreproc", "dmripreproc.log")
+logpath = os.path.join(os.path.expanduser("~"), ".dmriprep", "dmriprep.log")
 
 # Create the config directory if it doesn't exist
 logdir = os.path.dirname(logpath)
@@ -52,4 +52,8 @@
 
 # add the handlers to the logger
 module_logger.addHandler(handler)
-module_logger.info("Started new dmripreproc session")
+module_logger.info("Started new dmriprep session")
+
+from ._version import get_versions
+__version__ = get_versions()['version']
+del get_versions
diff --git a/dmriprep/_version.py b/dmriprep/_version.py
new file mode 100644
index 00000000..5bf45925
--- /dev/null
+++ b/dmriprep/_version.py
@@ -0,0 +1,520 @@
+
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain. Generated by
+# versioneer-0.18 (https://github.com/warner/python-versioneer)
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+
+
+def get_keywords():
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "$Format:%d$"
+    git_full = "$Format:%H$"
+    git_date = "$Format:%ci$"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_config():
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "pep440"
+    cfg.tag_prefix = ""
+    cfg.parentdir_prefix = ""
+    cfg.versionfile_source = "dmriprep/_version.py"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%s*" % tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%d" % pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions():
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        root = os.path.realpath(__file__)
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for i in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
diff --git a/dmripreproc/cli.py b/dmriprep/cli.py
similarity index 88%
rename from dmripreproc/cli.py
rename to dmriprep/cli.py
index 7f334827..69642368 100644
--- a/dmripreproc/cli.py
+++ b/dmriprep/cli.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Console script for dmripreproc."""
+"""Console script for dmriprep."""
 import os
 import sys
 import warnings
@@ -9,7 +9,7 @@
 import click
 
 from .utils.bids import collect_participants
-from .workflows.base import init_dmripreproc_wf
+from .workflows.base import init_dmriprep_wf
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
@@ -25,9 +25,10 @@ def __init__(
         bids_dir,
         work_dir,
         output_dir,
-        concat_shells,
+        # concat_shells,
         b0_thresh,
         resize_scale,
+        omp_nthreads,
         eddy_niter,
         bet_dwi,
         bet_mag,
@@ -42,12 +43,13 @@ def __init__(
         self.layout = layout
         self.subject_list = subject_list
         self.work_dir = work_dir
-        self.concat_shells = concat_shells
+        # self.concat_shells = concat_shells
         self.ignore = ignore
         self.resize_scale = resize_scale
         self.b0_thresh = b0_thresh
         self.bet_dwi = bet_dwi
         self.bet_mag = bet_mag
+        self.omp_nthreads = omp_nthreads
         self.eddy_niter = eddy_niter
         self.synb0_dir = synb0_dir
         self.acqp_file = acqp_file
@@ -80,11 +82,11 @@ def __init__(
     "can be specified with a space delimited list.",
 )
 # options for prepping dwi scans
-@click.option(
-    "--concat_shells",
-    default=None,
-    help="A space delimited list of acq-<label>",
-)
+# @click.option(
+#     "--concat_shells",
+#     default=None,
+#     help="A space delimited list of acq-<label>",
+# )
 @click.option(
     "--b0_thresh",
     default=5,
@@ -96,6 +98,13 @@ def __init__(
     "--resize_scale", help="Scale factor to resize DWI image", type=float
 )
 # specific options for eddy
+@click.option(
+    "--omp_nthreads",
+    default=1,
+    show_default=True,
+    help="Maximum number of threads for eddy",
+    type=int,
+)
 @click.option(
     "--eddy_niter",
     default=5,
@@ -135,7 +144,7 @@ def __init__(
     "--ignore",
     "-i",
     help="Specify which node(s) to skip during the preprocessing of the dwi.",
-    type=click.Choice(["denoise", "unring", "resample"]),
+    type=click.Choice(["denoise", "unring"]),
     multiple=True,
 )
 @click.option(
@@ -158,8 +167,9 @@ def main(
     skip_bids_validation,
     analysis_level,
     b0_thresh,
-    concat_shells,
+    # concat_shells,
     resize_scale,
+    omp_nthreads,
     eddy_niter,
     bet_dwi,
     bet_mag,
@@ -181,7 +191,7 @@ def main(
 
     if analysis_level != "participant":
         raise NotImplementedError(
-            "The only valid analysis level for dmripreproc "
+            "The only valid analysis level for dmriprep "
             "is participant at the moment."
         )
 
@@ -205,22 +215,24 @@ def main(
         bids_dir=bids_dir,
         work_dir=work_dir,
         output_dir=output_dir,
-        concat_shells=concat_shells,
+        # concat_shells=concat_shells,
         b0_thresh=b0_thresh,
         resize_scale=resize_scale,
+        omp_nthreads=omp_nthreads,
         eddy_niter=eddy_niter,
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
-        ignore=ignore,
+        ignore=list(ignore),
         analysis_level=analysis_level,
         synb0_dir=synb0_dir,
         acqp_file=acqp_file,
     )
 
-    wf = init_dmripreproc_wf(parameters)
+    wf = init_dmriprep_wf(parameters)
     wf.write_graph(graph2use="colored")
     wf.config["execution"]["remove_unnecessary_outputs"] = False
     wf.config["execution"]["keep_inputs"] = True
+    wf.config["execution"]["crashfile_format"] = "txt"
     wf.run()
 
     return 0
diff --git a/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz b/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
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new file mode 100644
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diff --git a/dmriprep/data/boilerplate.bib b/dmriprep/data/boilerplate.bib
new file mode 100644
index 00000000..1063918d
--- /dev/null
+++ b/dmriprep/data/boilerplate.bib
@@ -0,0 +1,188 @@
+@article{nipype1,
+    author = {Gorgolewski, K. and Burns, C. D. and Madison, C. and Clark, D. and Halchenko, Y. O. and Waskom, M. L. and Ghosh, S.},
+    doi = {10.3389/fninf.2011.00013},
+    journal = {Frontiers in Neuroinformatics},
+    pages = 13,
+    shorttitle = {Nipype},
+    title = {Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python},
+    volume = 5,
+    year = 2011
+}
+
+@article{nipype2,
+    author = {Gorgolewski, Krzysztof J. and Esteban, Oscar and Markiewicz, Christopher J. and Ziegler, Erik and Ellis, David Gage and Notter, Michael Philipp and Jarecka, Dorota and Johnson, Hans and Burns, Christopher and Manhães-Savio, Alexandre and Hamalainen, Carlo and Yvernault, Benjamin and Salo, Taylor and Jordan, Kesshi and Goncalves, Mathias and Waskom, Michael and Clark, Daniel and Wong, Jason and Loney, Fred and Modat, Marc and Dewey, Blake E and Madison, Cindee and Visconti di Oleggio Castello, Matteo and Clark, Michael G. and Dayan, Michael and Clark, Dav and Keshavan, Anisha and Pinsard, Basile and Gramfort, Alexandre and Berleant, Shoshana and Nielson, Dylan M. and Bougacha, Salma and Varoquaux, Gael and Cipollini, Ben and Markello, Ross and Rokem, Ariel and Moloney, Brendan and Halchenko, Yaroslav O. and Wassermann , Demian and Hanke, Michael and Horea, Christian and Kaczmarzyk, Jakub and Gilles de Hollander and DuPre, Elizabeth and Gillman, Ashley and Mordom, David and Buchanan, Colin and Tungaraza, Rosalia and Pauli, Wolfgang M. and Iqbal, Shariq and Sikka, Sharad and Mancini, Matteo and Schwartz, Yannick and Malone, Ian B. and Dubois, Mathieu and Frohlich, Caroline and Welch, David and Forbes, Jessica and Kent, James and Watanabe, Aimi and Cumba, Chad and Huntenburg, Julia M. and Kastman, Erik and Nichols, B. Nolan and Eshaghi, Arman and Ginsburg, Daniel and Schaefer, Alexander and Acland, Benjamin and Giavasis, Steven and Kleesiek, Jens and Erickson, Drew and Küttner, René and Haselgrove, Christian and Correa, Carlos and Ghayoor, Ali and Liem, Franz and Millman, Jarrod and Haehn, Daniel and Lai, Jeff and Zhou, Dale and Blair, Ross and Glatard, Tristan and Renfro, Mandy and Liu, Siqi and Kahn, Ari E. and Pérez-García, Fernando and Triplett, William and Lampe, Leonie and Stadler, Jörg and Kong, Xiang-Zhen and Hallquist, Michael and Chetverikov, Andrey and Salvatore, John and Park, Anne and Poldrack, Russell and Craddock, R. Cameron and Inati, Souheil and Hinds, Oliver and Cooper, Gavin and Perkins, L. Nathan and Marina, Ana and Mattfeld, Aaron and Noel, Maxime and Lukas Snoek and Matsubara, K and Cheung, Brian and Rothmei, Simon and Urchs, Sebastian and Durnez, Joke and Mertz, Fred and Geisler, Daniel and Floren, Andrew and Gerhard, Stephan and Sharp, Paul and Molina-Romero, Miguel and Weinstein, Alejandro and Broderick, William and Saase, Victor and Andberg, Sami Kristian and Harms, Robbert and Schlamp, Kai and Arias, Jaime and Papadopoulos Orfanos, Dimitri and Tarbert, Claire and Tambini, Arielle and De La Vega, Alejandro and Nickson, Thomas and Brett, Matthew and Falkiewicz, Marcel and Podranski, Kornelius and Linkersdörfer, Janosch and Flandin, Guillaume and Ort, Eduard and Shachnev, Dmitry and McNamee, Daniel and Davison, Andrew and Varada, Jan and Schwabacher, Isaac and Pellman, John and Perez-Guevara, Martin and Khanuja, Ranjeet and Pannetier, Nicolas and McDermottroe, Conor and Ghosh, Satrajit},
+    title = {Nipype},
+    year = 2018,
+    doi = {10.5281/zenodo.596855},
+    publisher = {Zenodo},
+    journal = {Software}
+}
+
+@article{n4,
+    author = {Tustison, N. J. and Avants, B. B. and Cook, P. A. and Zheng, Y. and Egan, A. and Yushkevich, P. A. and Gee, J. C.},
+    doi = {10.1109/TMI.2010.2046908},
+    issn = {0278-0062},
+    journal = {IEEE Transactions on Medical Imaging},
+    number = 6,
+    pages = {1310-1320},
+    shorttitle = {N4ITK},
+    title = {N4ITK: Improved N3 Bias Correction},
+    volume = 29,
+    year = 2010
+}
+
+@article{fs_reconall,
+    author = {Dale, Anders M. and Fischl, Bruce and Sereno, Martin I.},
+    doi = {10.1006/nimg.1998.0395},
+    issn = {1053-8119},
+    journal = {NeuroImage},
+    number = 2,
+    pages = {179-194},
+    shorttitle = {Cortical Surface-Based Analysis},
+    title = {Cortical Surface-Based Analysis: I. Segmentation and Surface Reconstruction},
+    url = {http://www.sciencedirect.com/science/article/pii/S1053811998903950},
+    volume = 9,
+    year = 1999
+}
+
+@article{ants,
+    author = {Avants, B.B. and Epstein, C.L. and Grossman, M. and Gee, J.C.},
+    doi = {10.1016/j.media.2007.06.004},
+    issn = {1361-8415},
+    journal = {Medical Image Analysis},
+    number = 1,
+    pages = {26-41},
+    shorttitle = {Symmetric diffeomorphic image registration with cross-correlation},
+    title = {Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain},
+    url = {http://www.sciencedirect.com/science/article/pii/S1361841507000606},
+    volume = 12,
+    year = 2008
+}
+
+@article{fsl_fast,
+    author = {Zhang, Y. and Brady, M. and Smith, S.},
+    doi = {10.1109/42.906424},
+    issn = {0278-0062},
+    journal = {IEEE Transactions on Medical Imaging},
+    number = 1,
+    pages = {45-57},
+    title = {Segmentation of brain {MR} images through a hidden Markov random field model and the expectation-maximization algorithm},
+    volume = 20,
+    year = 2001
+}
+
+
+@article{fieldmapless1,
+    author = {Wang, Sijia and Peterson, Daniel J. and Gatenby, J. C. and Li, Wenbin and Grabowski, Thomas J. and Madhyastha, Tara M.},
+    doi = {10.3389/fninf.2017.00017},
+    issn = {1662-5196},
+    journal = {Frontiers in Neuroinformatics},
+    language = {English},
+    title = {Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion {MRI}},
+    url = {http://journal.frontiersin.org/article/10.3389/fninf.2017.00017/full},
+    volume = 11,
+    year = 2017
+}
+
+@phdthesis{fieldmapless2,
+    address = {Berlin},
+    author = {Huntenburg, Julia M.},
+    language = {eng},
+    school = {Freie Universität},
+    title = {Evaluating nonlinear coregistration of {BOLD} {EPI} and T1w images},
+    type = {Master's Thesis},
+    url = {http://hdl.handle.net/11858/00-001M-0000-002B-1CB5-A},
+    year = 2014
+}
+
+@article{fieldmapless3,
+    author = {Treiber, Jeffrey Mark and White, Nathan S. and Steed, Tyler Christian and Bartsch, Hauke and Holland, Dominic and Farid, Nikdokht and McDonald, Carrie R. and Carter, Bob S. and Dale, Anders Martin and Chen, Clark C.},
+    doi = {10.1371/journal.pone.0152472},
+    issn = {1932-6203},
+    journal = {PLOS ONE},
+    number = 3,
+    pages = {e0152472},
+    title = {Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images},
+    url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0152472},
+    volume = 11,
+    year = 2016
+}
+
+@article{flirt,
+    title = {A global optimisation method for robust affine registration of brain images},
+    volume = {5},
+    issn = {1361-8415},
+    url = {http://www.sciencedirect.com/science/article/pii/S1361841501000366},
+    doi = {10.1016/S1361-8415(01)00036-6},
+    number = {2},
+    urldate = {2018-07-27},
+    journal = {Medical Image Analysis},
+    author = {Jenkinson, Mark and Smith, Stephen},
+    year = {2001},
+    keywords = {Affine transformation, flirt, fsl, Global optimisation, Multi-resolution search, Multimodal registration, Robustness},
+    pages = {143--156}
+}
+
+@article{mcflirt,
+    author = {Jenkinson, Mark and Bannister, Peter and Brady, Michael and Smith, Stephen},
+    doi = {10.1006/nimg.2002.1132},
+    issn = {1053-8119},
+    journal = {NeuroImage},
+    number = 2,
+    pages = {825-841},
+    title = {Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images},
+    url = {http://www.sciencedirect.com/science/article/pii/S1053811902911328},
+    volume = 17,
+    year = 2002
+}
+
+@article{bbr,
+    author = {Greve, Douglas N and Fischl, Bruce},
+    doi = {10.1016/j.neuroimage.2009.06.060},
+    issn = {1095-9572},
+    journal = {NeuroImage},
+    number = 1,
+    pages = {63-72},
+    title = {Accurate and robust brain image alignment using boundary-based registration},
+    volume = 48,
+    year = 2009
+}
+
+@article{power_fd_dvars,
+    author = {Power, Jonathan D. and Mitra, Anish and Laumann, Timothy O. and Snyder, Abraham Z. and Schlaggar, Bradley L. and Petersen, Steven E.},
+    doi = {10.1016/j.neuroimage.2013.08.048},
+    issn = {1053-8119},
+    journal = {NeuroImage},
+    number = {Supplement C},
+    pages = {320-341},
+    title = {Methods to detect, characterize, and remove motion artifact in resting state fMRI},
+    url = {http://www.sciencedirect.com/science/article/pii/S1053811913009117},
+    volume = 84,
+    year = 2014
+}
+
+@article{confounds_satterthwaite_2013,
+    author = {Satterthwaite, Theodore D. and Elliott, Mark A. and Gerraty, Raphael T. and Ruparel, Kosha and Loughead, James and Calkins, Monica E. and Eickhoff, Simon B. and Hakonarson, Hakon and Gur, Ruben C. and Gur, Raquel E. and Wolf, Daniel H.},
+    doi = {10.1016/j.neuroimage.2012.08.052},
+    issn = {10538119},
+    journal = {NeuroImage},
+    number = 1,
+    pages = {240--256},
+    title = {{An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data}},
+    url = {http://linkinghub.elsevier.com/retrieve/pii/S1053811912008609},
+    volume = 64,
+    year = 2013
+}
+
+@article{hcppipelines,
+    author = {Glasser, Matthew F. and Sotiropoulos, Stamatios N. and Wilson, J. Anthony and Coalson, Timothy S. and Fischl, Bruce and Andersson, Jesper L. and Xu, Junqian and Jbabdi, Saad and Webster, Matthew and Polimeni, Jonathan R. and Van Essen, David C. and Jenkinson, Mark},
+    doi = {10.1016/j.neuroimage.2013.04.127},
+    issn = {1053-8119},
+    journal = {NeuroImage},
+    pages = {105-124},
+    series = {Mapping the Connectome},
+    title = {The minimal preprocessing pipelines for the Human Connectome Project},
+    url = {http://www.sciencedirect.com/science/article/pii/S1053811913005053},
+    volume = 80,
+    year = 2013
+}
diff --git a/dmripreproc/interfaces/__init__.py b/dmriprep/interfaces/__init__.py
similarity index 100%
rename from dmripreproc/interfaces/__init__.py
rename to dmriprep/interfaces/__init__.py
diff --git a/dmripreproc/interfaces/fmap.py b/dmriprep/interfaces/fmap.py
similarity index 100%
rename from dmripreproc/interfaces/fmap.py
rename to dmriprep/interfaces/fmap.py
diff --git a/dmriprep/interfaces/mrtrix3.py b/dmriprep/interfaces/mrtrix3.py
new file mode 100644
index 00000000..55d74f1b
--- /dev/null
+++ b/dmriprep/interfaces/mrtrix3.py
@@ -0,0 +1,86 @@
+#!/usr/bin/env python
+
+from __future__ import (
+    print_function,
+    division,
+    unicode_literals,
+    absolute_import,
+)
+
+from nipype.interfaces.base import traits, TraitedSpec, File
+from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base
+
+
+class MRResizeInputSpec(MRTrix3BaseInputSpec):
+    in_file = File(
+        exists=True,
+        argstr="%s",
+        position=-2,
+        mandatory=True,
+        desc="input DWI image",
+    )
+    size = traits.List(
+        traits.Int(),
+        argstr="-size %s",
+        desc="define the new image size for the output image. This should be "
+        "specified as a comma-separated list.",
+    )
+    voxel_size = traits.List(
+        traits.Float(),
+        argstr="-voxel %s",
+        desc="define the new voxel size for the output image. This can be "
+        "specified either as a single value to be used for all "
+        "dimensions, or as a comma-separated list of the size for each "
+        "voxel dimension.",
+    )
+    scale = traits.Float(
+        argstr="-scale %s",
+        desc="scale the image resolution by the supplied factor. This can be "
+        "specified either as a single value to be used for all "
+        "dimensions, or as a comma-separated list of scale factors for "
+        "each dimension.",
+    )
+    interp = traits.Enum(
+        "nearest",
+        "linear",
+        "cubic",
+        "sinc",
+        default="cubic",
+        argstr="-interp %s",
+        desc="set the interpolation method to use when resizing (choices: "
+        "nearest, linear, cubic, sinc. Default: cubic).",
+    )
+
+    out_file = File(
+        argstr="%s",
+        name_template="%s_resized",
+        name_source=["in_file"],
+        keep_extension=True,
+        position=-1,
+        desc="the output resized DWI image",
+    )
+
+
+class MRResizeOutputSpec(TraitedSpec):
+    out_file = File(desc="the output resized DWI image", exists=True)
+
+
+class MRResize(MRTrix3Base):
+    """
+    Resize an image by defining the new image resolution, voxel size or a scale factor
+    For more information, see
+    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrresize.html>
+    Example
+    -------
+    >>> import nipype.interfaces.mrtrix3 as mrt
+    >>> resize = mrt.MRResize()
+    >>> resize.inputs.in_file = 'dwi.mif'
+    >>> denoise.inputs.mask = 'mask.mif'
+    >>> denoise.cmdline                               # doctest: +ELLIPSIS
+    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'
+    >>> denoise.run()                                 # doctest: +SKIP
+    """
+
+    _cmd = "mrresize"
+    input_spec = MRResizeInputSpec
+    output_spec = MRResizeOutputSpec
diff --git a/dmripreproc/qc.py b/dmriprep/qc.py
similarity index 100%
rename from dmripreproc/qc.py
rename to dmriprep/qc.py
diff --git a/dmripreproc/utils/__init__.py b/dmriprep/utils/__init__.py
similarity index 100%
rename from dmripreproc/utils/__init__.py
rename to dmriprep/utils/__init__.py
diff --git a/dmripreproc/utils/bids.py b/dmriprep/utils/bids.py
similarity index 100%
rename from dmripreproc/utils/bids.py
rename to dmriprep/utils/bids.py
diff --git a/dmripreproc/utils/hemisphere.py b/dmriprep/utils/hemisphere.py
similarity index 100%
rename from dmripreproc/utils/hemisphere.py
rename to dmriprep/utils/hemisphere.py
diff --git a/dmripreproc/workflows/__init__.py b/dmriprep/workflows/__init__.py
similarity index 100%
rename from dmripreproc/workflows/__init__.py
rename to dmriprep/workflows/__init__.py
diff --git a/dmripreproc/workflows/base.py b/dmriprep/workflows/base.py
similarity index 68%
rename from dmripreproc/workflows/base.py
rename to dmriprep/workflows/base.py
index bab83581..88decb46 100644
--- a/dmripreproc/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -7,9 +7,9 @@
 from .dwi import init_dwi_preproc_wf, init_output_wf
 
 
-def init_dmripreproc_wf(parameters):
-    dmripreproc_wf = pe.Workflow(name="dmripreproc_wf")
-    dmripreproc_wf.base_dir = parameters.work_dir
+def init_dmriprep_wf(parameters):
+    dmriprep_wf = pe.Workflow(name="dmriprep_wf")
+    dmriprep_wf.base_dir = parameters.work_dir
 
     for subject_id in parameters.subject_list:
 
@@ -26,9 +26,9 @@ def init_dmripreproc_wf(parameters):
         for node in single_subject_wf._get_all_nodes():
             node.config = deepcopy(single_subject_wf.config)
 
-        dmripreproc_wf.add_nodes([single_subject_wf])
+        dmriprep_wf.add_nodes([single_subject_wf])
 
-    return dmripreproc_wf
+    return dmriprep_wf
 
 
 def init_single_subject_wf(subject_id, name, parameters):
@@ -95,16 +95,26 @@ def init_single_subject_wf(subject_id, name, parameters):
                     dwi_preproc_wf,
                     datasink_wf,
                     [
-                        ("fsl_eddy.out_corrected", "inputnode.out_file"),
-                        ("fsl_eddy.out_rotated_bvecs", "inputnode.out_bvec"),
-                        ("getB0Mask.mask_file", "inputnode.out_mask"),
-                        ("inputnode.bval_file", "inputnode.out_bval"),
-                        ("bet_dwi_pre.out_file", "inputnode.out_b0_brain"),
-                        ("bet_dwi_pre.mask_file", "inputnode.out_b0_mask"),
-                        ("eddy_quad.qc_json", "inputnode.out_eddy_qc"),
-                        ("dtifit.FA", "inputnode.out_FA"),
-                        ("dtifit.V1", "inputnode.out_V1"),
-                        ("denoise_eddy.noise", "inputnode.out_sh_residual"),
+                        ("outputnode.out_dwi", "inputnode.dwi"),
+                        ("outputnode.out_bval", "inputnode.bval"),
+                        ("outputnode.out_bvec", "inputnode.bvec"),
+                        ("outputnode.index", "inputnode.index"),
+                        ("outputnode.acq_params", "inputnode.acq_params"),
+                        ("outputnode.out_mask", "inputnode.mask"),
+                        ("outputnode.out_b0_pre", "inputnode.b0"),
+                        ("outputnode.out_b0_mask_pre", "inputnode.b0_mask"),
+                        (
+                            "outputnode.out_eddy_quad_json",
+                            "inputnode.eddy_quad_json",
+                        ),
+                        (
+                            "outputnode.out_eddy_quad_pdf",
+                            "inputnode.eddy_quad_pdf",
+                        ),
+                        ("outputnode.out_dtifit_FA", "inputnode.dtifit_FA"),
+                        ("outputnode.out_dtifit_V1", "inputnode.dtifit_V1"),
+                        ("outputnode.out_dtifit_sse", "inputnode.dtifit_sse"),
+                        ("outputnode.out_noise", "inputnode.noise"),
                     ],
                 )
             ]
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
new file mode 100644
index 00000000..0eb1fa11
--- /dev/null
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -0,0 +1,7 @@
+#!/usr/bin/env python
+
+from .base import init_dwi_preproc_wf
+from .denoise import init_denoise_wf
+from .unring import init_unring_wf
+from .tensor import init_tensor_wf
+from .outputs import init_output_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
new file mode 100755
index 00000000..466f65ce
--- /dev/null
+++ b/dmriprep/workflows/dwi/base.py
@@ -0,0 +1,453 @@
+# -*- coding: utf-8 -*-
+
+from bids import BIDSLayout
+from nipype.pipeline import engine as pe
+from nipype.interfaces import ants, fsl, mrtrix3, utility as niu
+from numba import cuda
+
+from .denoise import init_denoise_wf
+from .unring import init_unring_wf
+from .tensor import init_tensor_wf
+
+# from ..fieldmap.base import init_sdc_prep_wf
+
+FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
+
+
+def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
+
+    # fmaps = []
+    # synb0 = ""
+    #
+    # # If use_synb0 set, get synb0 from files
+    # if parameters.synb0_dir:
+    #     synb0_layout = BIDSLayout(
+    #         parameters.synb0_dir, validate=False, derivatives=True
+    #     )
+    #     synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
+    # else:
+    #     fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
+    #     if not fmaps:
+    #         raise Exception(
+    #             "No fieldmaps found for participant {}. "
+    #             "All workflows require fieldmaps".format(subject_id)
+    #         )
+    #
+    #     for fmap in fmaps:
+    #         fmap["metadata"] = parameters.layout.get_metadata(
+    #             fmap[fmap["suffix"]]
+    #         )
+    #
+    # sdc_wf = init_sdc_prep_wf(
+    #     subject_id,
+    #     fmaps,
+    #     metadata,
+    #     parameters.layout,
+    #     parameters.bet_mag,
+    #     synb0,
+    # )
+
+    dwi_wf = pe.Workflow(name="dwi_preproc_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                "subject_id",
+                "dwi_file",
+                "dwi_meta",
+                "bvec_file",
+                "bval_file",
+                "out_dir",
+                "eddy_niter",
+            ]
+        ),
+        name="inputnode",
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                "out_dwi",
+                "out_bval",
+                "out_bvec",
+                "index",
+                "acq_params",
+                "out_mask",
+                "out_b0_pre",
+                "out_b0_mask_pre",
+                "out_eddy_quad_json",
+                "out_eddy_quad_pdf",
+                "out_dtifit_FA",
+                "out_dtifit_V1",
+                "out_dtifit_sse",
+                "out_noise",
+            ]
+        ),
+        name="outputnode",
+    )
+
+    def gen_index(in_file):
+        import os
+        import numpy as np
+        import nibabel as nib
+        from nipype.utils import NUMPY_MMAP
+        from nipype.utils.filemanip import fname_presuffix
+
+        out_file = fname_presuffix(
+            in_file,
+            suffix="_index.txt",
+            newpath=os.path.abspath("."),
+            use_ext=False,
+        )
+        vols = nib.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
+        index_lines = np.ones((vols,))
+        index_lines_reshape = index_lines.reshape(1, index_lines.shape[0])
+        np.savetxt(out_file, index_lines_reshape, fmt="%i")
+        return out_file
+
+    gen_idx = pe.Node(
+        niu.Function(
+            input_names=["in_file"],
+            output_names=["out_file"],
+            function=gen_index,
+        ),
+        name="gen_index",
+    )
+
+    def gen_acqparams(in_file, metadata):
+        import os
+        from nipype.utils.filemanip import fname_presuffix
+
+        out_file = fname_presuffix(
+            in_file,
+            suffix="_acqparams.txt",
+            newpath=os.path.abspath("."),
+            use_ext=False,
+        )
+
+        acq_param_dict = {
+            "j": "0 1 0 %.7f",
+            "j-": "0 -1 0 %.7f",
+            "i": "1 0 0 %.7f",
+            "i-": "-1 0 0 %.7f",
+            "k": "0 0 1 %.7f",
+            "k-": "0 0 -1 %.7f",
+        }
+
+        pe_dir = metadata.get("PhaseEncodingDirection")
+        total_readout = metadata.get("TotalReadoutTime")
+        acq_param_lines = acq_param_dict[pe_dir] % total_readout
+
+        with open(out_file, "w") as f:
+            f.write(acq_param_lines)
+
+        return out_file
+
+    acqp = pe.Node(
+        niu.Function(
+            input_names=["in_file", "metadata"],
+            output_names=["out_file"],
+            function=gen_acqparams,
+        ),
+        name="acqp",
+    )
+
+    dwi_wf.connect(
+        [
+            (inputnode, gen_idx, [("dwi_file", "in_file")]),
+            (
+                inputnode,
+                acqp,
+                [("dwi_file", "in_file"), ("dwi_meta", "metadata")],
+            ),
+        ]
+    )
+
+    def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
+        """
+        A function that averages the *b0* volumes from a DWI dataset.
+        As current dMRI data are being acquired with all b-values > 0.0,
+        the *lowb* volumes are selected by specifying the parameter b0_thresh.
+        .. warning:: *b0* should be already registered (head motion artifact
+        should be corrected).
+        """
+        import os
+        import numpy as np
+        import nibabel as nib
+        from nipype.utils import NUMPY_MMAP
+        from nipype.utils.filemanip import fname_presuffix
+
+        if out_file is None:
+            out_file = fname_presuffix(
+                in_dwi, suffix="_avg_b0", newpath=os.path.abspath(".")
+            )
+
+        imgs = np.array(nib.four_to_three(nib.load(in_dwi, mmap=NUMPY_MMAP)))
+        bval = np.loadtxt(in_bval)
+        index = np.argwhere(bval <= b0_thresh).flatten().tolist()
+
+        b0s = [im.get_data().astype(np.float32) for im in imgs[index]]
+        b0 = np.average(np.array(b0s), axis=0)
+
+        hdr = imgs[0].header.copy()
+        hdr.set_data_shape(b0.shape)
+        hdr.set_xyzt_units("mm")
+        hdr.set_data_dtype(np.float32)
+        nib.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
+        return out_file
+
+    avg_b0_0 = pe.Node(
+        niu.Function(
+            input_names=["in_dwi", "in_bval", "b0_thresh"],
+            output_names=["out_file"],
+            function=b0_average,
+        ),
+        name="b0_avg_pre",
+    )
+
+    avg_b0_0.inputs.b0_thresh = parameters.b0_thresh
+
+    bet_dwi0 = pe.Node(
+        fsl.BET(frac=parameters.bet_dwi, mask=True, robust=True),
+        name="bet_dwi_pre",
+    )
+
+    ecc = pe.Node(
+        fsl.Eddy(repol=True, cnr_maps=True, residuals=True), name="fsl_eddy"
+    )
+
+    if parameters.omp_nthreads:
+        ecc.inputs.num_threads = parameters.omp_nthreads
+
+    try:
+        if cuda.gpus:
+            ecc.inputs.use_cuda = True
+    except:
+        ecc.inputs.use_cuda = False
+
+    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name="denoise_eddy")
+
+    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
+
+    get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
+    get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
+
+    if set(parameters.ignore) == set(["denoise", "unring"]):
+        wf.connect(
+            [
+                (inputnode, avg_b0_0, [("dwi_file", "in_file")])(
+                    inputnode, ecc, [("dwi_file", "in_file")]
+                )
+            ]
+        )
+
+    if "denoise" in parameters.ignore:
+        unring_wf = init_unring_wf()
+
+        dwi_wf.connect(
+            [
+                (inputnode, unring_wf, [("dwi_file", "inputnode.dwi_file")]),
+                (unring_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
+                (unring_wf, ecc, [("outputnode.out_file", "in_file")]),
+            ]
+        )
+
+    elif "unring" in parameters.ignore:
+        denoise_wf = init_denoise_wf()
+
+        dwi_wf.connect(
+            [
+                (inputnode, denoise_wf, [("dwi_file", "inputnode.dwi_file")]),
+                (denoise_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
+                (denoise_wf, ecc, [("outputnode.out_file", "in_file")]),
+            ]
+        )
+
+    else:
+        denoise_wf = init_denoise_wf()
+        unring_wf = init_unring_wf()
+
+        dwi_wf.connect(
+            [
+                (inputnode, denoise_wf, [("dwi_file", "inputnode.dwi_file")]),
+                (
+                    denoise_wf,
+                    unring_wf,
+                    [("outputnode.out_file", "inputnode.dwi_file")],
+                ),
+                (unring_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
+                (unring_wf, ecc, [("outputnode.out_file", "in_file")]),
+            ]
+        )
+
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
+
+    bias_correct = pe.Node(
+        ants.N4BiasFieldCorrection(
+            save_bias=True, copy_header=True, dimension=3
+        ),
+        name="bias_correct",
+    )
+
+    def get_b0_mask_fn(b0_file):
+        import os
+        import nibabel as nib
+        from nipype.utils.filemanip import fname_presuffix
+        from dipy.segment.mask import median_otsu
+
+        mask_file = fname_presuffix(
+            b0_file, suffix="_mask", newpath=os.path.abspath(".")
+        )
+        img = nib.load(b0_file)
+        data, aff = img.get_data(), img.affine
+        _, mask = median_otsu(data, 2, 1)
+        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
+        return mask_file
+
+    b0mask_node = pe.Node(
+        niu.Function(
+            input_names=["b0_file"],
+            output_names=["mask_file"],
+            function=get_b0_mask_fn,
+        ),
+        name="getB0Mask",
+    )
+
+    dwi_wf.connect(
+        [
+            (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
+            (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
+            (
+                inputnode,
+                ecc,
+                [("bval_file", "in_bval"), ("bvec_file", "in_bvec")],
+            ),
+            (bet_dwi0, ecc, [("mask_file", "in_mask")]),
+            (gen_idx, ecc, [("out_file", "in_index")]),
+            (acqp, ecc, [("out_file", "in_acqp")]),
+            (ecc, denoise_eddy, [("out_corrected", "in_file")]),
+            (ecc, fslroi, [("out_corrected", "in_file")]),
+            (fslroi, bias_correct, [("roi_file", "input_image")]),
+            (bias_correct, b0mask_node, [("output_image", "b0_file")]),
+            (
+                ecc,
+                eddy_quad,
+                [
+                    (("out_corrected", get_path), "base_name"),
+                    (("out_corrected", get_qc_path), "output_dir"),
+                    ("out_rotated_bvecs", "bvec_file"),
+                ],
+            ),
+            (inputnode, eddy_quad, [("bval_file", "bval_file")]),
+            (b0mask_node, eddy_quad, [("mask_file", "mask_file")]),
+            (gen_idx, eddy_quad, [("out_file", "idx_file")]),
+            (acqp, eddy_quad, [("out_file", "param_file")]),
+        ]
+    )
+
+    tensor_wf = init_tensor_wf()
+
+    dwi_wf.connect(
+        [
+            (inputnode, tensor_wf, [("bval_file", "inputnode.bval_file")]),
+            (b0mask_node, tensor_wf, [("mask_file", "inputnode.mask_file")]),
+            (
+                ecc,
+                tensor_wf,
+                [
+                    ("out_corrected", "inputnode.dwi_file"),
+                    ("out_rotated_bvecs", "inputnode.bvec_file"),
+                ],
+            ),
+        ]
+    )
+
+    # # If synb0 is meant to be used
+    # if parameters.synb0_dir:
+    #     dwi_wf.connect(
+    #         [
+    #             (
+    #                 sdc_wf,
+    #                 ecc,
+    #                 [
+    #                     ("outputnode.out_topup", "in_topup_fieldcoef"),
+    #                     ("outputnode.out_movpar", "in_topup_movpar"),
+    #                 ],
+    #             ),
+    #             (
+    #                 sdc_wf,
+    #                 eddy_quad,
+    #                 [("outputnode.out_enc_file", "param_file")],
+    #             ),
+    #         ]
+    #     )
+    #     ecc.inputs.in_acqp = parameters.acqp_file
+    # else:
+    #     # Decide what ecc will take: topup or fmap
+    #     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+    #     fmap = fmaps[0]
+    #     # Else If epi files detected
+    #     if fmap["suffix"] == "epi":
+    #         dwi_wf.connect(
+    #             [
+    #                 (
+    #                     sdc_wf,
+    #                     ecc,
+    #                     [
+    #                         ("outputnode.out_topup", "in_topup_fieldcoef"),
+    #                         ("outputnode.out_enc_file", "in_acqp"),
+    #                         ("outputnode.out_movpar", "in_topup_movpar"),
+    #                     ],
+    #                 ),
+    #                 (
+    #                     sdc_wf,
+    #                     eddy_quad,
+    #                     [("outputnode.out_enc_file", "param_file")],
+    #                 ),
+    #             ]
+    #         )
+    #     # Otherwise (fieldmaps)
+    #     else:
+    #         dwi_wf.connect(
+    #             [
+    #                 (
+    #                     sdc_wf,
+    #                     ecc,
+    #                     [(("outputnode.out_fmap", get_path), "field")],
+    #                 ),
+    #                 (acqp, ecc, [("out_file", "in_acqp")]),
+    #                 (acqp, eddy_quad, [("out_file", "param_file")]),
+    #             ]
+    #         )
+
+    dwi_wf.connect(
+        [
+            (ecc, outputnode, [("out_corrected", "out_dwi")]),
+            (inputnode, outputnode, [("bval_file", "out_bval")]),
+            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
+            (gen_idx, outputnode, [("out_file", "index")]),
+            (acqp, outputnode, [("out_file", "acq_params")]),
+            (b0mask_node, outputnode, [("mask_file", "out_mask")]),
+            (avg_b0_0, outputnode, [("out_file", "out_b0_pre")]),
+            (bet_dwi0, outputnode, [("mask_file", "out_b0_mask_pre")]),
+            (
+                eddy_quad,
+                outputnode,
+                [
+                    ("qc_json", "out_eddy_quad_json"),
+                    ("qc_pdf", "out_eddy_quad_pdf"),
+                ],
+            ),
+            (
+                tensor_wf,
+                outputnode,
+                [
+                    ("outputnode.FA_file", "out_dtifit_FA"),
+                    ("outputnode.V1_file", "out_dtifit_V1"),
+                    ("outputnode.sse_file", "out_dtifit_sse"),
+                ],
+            ),
+        ]
+    )
+
+    return dwi_wf
diff --git a/dmriprep/workflows/dwi/denoise.py b/dmriprep/workflows/dwi/denoise.py
new file mode 100644
index 00000000..c5c3172c
--- /dev/null
+++ b/dmriprep/workflows/dwi/denoise.py
@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_denoise_wf():
+
+    wf = pe.Workflow(name="denoise_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
+    )
+
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+
+    wf.connect(
+        [
+            (inputnode, denoise, [("dwi_file", "in_file")]),
+            (denoise, outputnode, [("out_file", "out_file")]),
+        ]
+    )
+
+    return wf
diff --git a/dmripreproc/workflows/dwi/outputs.py b/dmriprep/workflows/dwi/outputs.py
similarity index 57%
rename from dmripreproc/workflows/dwi/outputs.py
rename to dmriprep/workflows/dwi/outputs.py
index 8e1a6f87..019c3410 100644
--- a/dmripreproc/workflows/dwi/outputs.py
+++ b/dmriprep/workflows/dwi/outputs.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+# -*- coding: utf-8 -*-
 
 import os
 
@@ -15,18 +15,20 @@ def init_output_wf(subject_id, session_id, output_folder):
             fields=[
                 "subject_id",
                 "session_id",
-                "out_file",
-                "out_mask",
-                "out_bvec",
-                "out_bval",
-                "out_b0_brain",
-                "out_b0_mask",
-                "out_fieldmap_brain",
-                "out_eddy_qc",
-                "out_FA",
-                "out_V1",
-                "out_sh_residual",
-                "output_folder",
+                "dwi",
+                "bval",
+                "bvec",
+                "index",
+                "acq_params",
+                "mask",
+                "b0",
+                "b0_mask",
+                "eddy_quad_json",
+                "eddy_quad_pdf",
+                "dtifit_FA",
+                "dtifit_V1",
+                "dtifit_sse",
+                "noise",
             ]
         ),
         name="inputnode",
@@ -37,7 +39,7 @@ def build_path(output_folder, subject_id, session_id):
 
         return os.path.join(
             output_folder,
-            "dmripreproc",
+            "dmriprep",
             "sub-" + subject_id,
             "ses-" + session_id,
             "dwi",
@@ -70,17 +72,21 @@ def build_path(output_folder, subject_id, session_id):
                 inputnode,
                 datasink,
                 [
-                    ("out_file", "@result.@dwi"),
-                    ("out_bvec", "@result.@bvec"),
-                    ("out_bval", "@result.@bval"),
-                    ("out_mask", "@result.@mask"),
-                    ("out_b0_brain", "@result.@b0brain"),
-                    ("out_b0_mask", "@result.@b0mask"),
+                    ("dwi", "@result.@dwi"),
+                    ("bval", "@result.@bval"),
+                    ("bvec", "@result.@bvec"),
+                    ("index", "@result.@index"),
+                    ("acq_params", "@result.@acq_params"),
+                    ("mask", "@result.@mask"),
+                    ("b0", "@result.@b0"),
+                    ("b0_mask", "@result.@b0_mask"),
                     # ("out_fieldmap_brain", "@result.@fmapbrain"),
-                    ("out_eddy_qc", "@result.@eddyqc"),
-                    ("out_FA", "@result.@fa"),
-                    ("out_V1", "@result.@v1"),
-                    ("out_sh_residual", "@result.@residual"),
+                    ("eddy_quad_json", "@result.@eddy_quad_json"),
+                    ("eddy_quad_pdf", "@result.@eddy_quad_pdf"),
+                    ("dtifit_FA", "@result.@fa"),
+                    ("dtifit_V1", "@result.@v1"),
+                    ("dtifit_sse", "@result.@sse"),
+                    ("noise", "@result.@noise"),
                 ],
             ),
         ]
diff --git a/dmriprep/workflows/dwi/remove_artefacts.py b/dmriprep/workflows/dwi/remove_artefacts.py
new file mode 100644
index 00000000..b217b489
--- /dev/null
+++ b/dmriprep/workflows/dwi/remove_artefacts.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_remove_artefacts_wf(ignore_nodes):
+
+    dwi_prep_wf = pe.Workflow(name="remove_artefacts_wf")
+
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
+    )
+
+    prep_full = ["denoise", "unring"]
+
+    prep_wanted_str = [
+        node for node in prep_full if not (node in ignore_nodes)
+    ]
+
+    # Translate string input to node names
+    str2node = {"denoise": denoise, "unring": unring}
+
+    prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
+
+    # If no steps selected, just connect input to output
+    if not (prep_wanted):
+        dwi_prep_wf.connect(
+            [(inputnode, outputnode, [("dwi_file", "out_file")])]
+        )
+
+    # If there are steps
+    else:
+        # Must at least connect input node to first node
+        first_node = prep_wanted[0]
+        dwi_prep_wf.connect(
+            [(inputnode, first_node, [("dwi_file", "in_file")])]
+        )
+        # Loop through the prep order
+        # Note: only works if each node has in_file and out_file
+        # Can work around this by wrapping in node/workflow with in_file+out_file
+        prev = first_node
+        for curr_node in prep_wanted[1:]:
+            dwi_prep_wf.connect([(prev, curr_node, [("out_file", "in_file")])])
+            prev = curr_node
+        # Connect last node to output node
+        last_node = prep_wanted[-1]
+        dwi_prep_wf.connect(
+            [(last_node, outputnode, [("out_file", "out_file")])]
+        )
+
+    return dwi_prep_wf
diff --git a/dmripreproc/workflows/dwi/tbss.py b/dmriprep/workflows/dwi/tbss.py
similarity index 63%
rename from dmripreproc/workflows/dwi/tbss.py
rename to dmriprep/workflows/dwi/tbss.py
index 39538b64..a8a64b01 100644
--- a/dmripreproc/workflows/dwi/tbss.py
+++ b/dmriprep/workflows/dwi/tbss.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env Python
+# -*- coding: utf-8 -*-
 
 # https://github.com/Conxz/BIT/blob/1ee7bbff345aba9d53b1349290f9fbdcbad1c3d0/bit/tbss_4steps_NKI.py
 
@@ -8,24 +8,30 @@
 from nipype.pipeline import engine as pe
 from nipype.workflows.dmri.fsl import tbss
 
-def init_tbss_wf():
 
+def init_tbss_wf():
     def get_fa_list(subject_list):
         fa_list = []
         for subject_id in subject_list:
-            fa_list.append(os.path.join(subject_id+'_FA'))
+            fa_list.append(os.path.join(subject_id + "_FA"))
         return fa_list
 
-    tbss_source = pe.Node(interface=nio.DataGrabber(outfiles=["fa_list"]), name="tbss_source")
+    tbss_source = pe.Node(
+        interface=nio.DataGrabber(outfiles=["fa_list"]), name="tbss_source"
+    )
     tbss_source.inputs.base_directory = os.path.abspath(sessdir)
     tbss_source.inputs.sort_filelist = True
-    tbss_source.inputs.template = '%s.nii.gz'
-    tbss_source.inputs.template_args = dict(fa_list=[[getFAList(subject_list)]])
+    tbss_source.inputs.template = "%s.nii.gz"
+    tbss_source.inputs.template_args = dict(
+        fa_list=[[getFAList(subject_list)]]
+    )
 
     tbss1 = tbss.create_tbss_1_preproc(name="tbss1")
 
     tbss2 = tbss.create_tbss_2_reg(name="tbss2")
-    tbss2.inputs.inputnode.target = fsl.Info.standard_image("FMRIB58_FA_1mm.nii.gz")
+    tbss2.inputs.inputnode.target = fsl.Info.standard_image(
+        "FMRIB58_FA_1mm.nii.gz"
+    )
 
     tbss3 = tbss.create_tbss_3_postreg(name="tbss3", estimate_skeleton=True)
 
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
new file mode 100644
index 00000000..2b2a12ab
--- /dev/null
+++ b/dmriprep/workflows/dwi/tensor.py
@@ -0,0 +1,45 @@
+# -*- coding: utf-8 -*-
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import fsl, utility as niu
+
+
+def init_tensor_wf():
+
+    wf = pe.Workflow(name="tensor_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=["dwi_file", "bvec_file", "bval_file", "mask_file"]
+        ),
+        name="inputnode",
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["FA_file", "V1_file", "sse_file"]),
+        name="outputnode",
+    )
+
+    dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name="dtifit")
+
+    wf.connect(
+        [
+            (
+                inputnode,
+                dtifit,
+                [
+                    ("dwi_file", "dwi"),
+                    ("bvec_file", "bvecs"),
+                    ("bval_file", "bvals"),
+                    ("mask_file", "mask"),
+                ],
+            ),
+            (
+                dtifit,
+                outputnode,
+                [("FA", "FA_file"), ("V1", "V1_file"), ("sse", "sse_file")],
+            ),
+        ]
+    )
+
+    return wf
diff --git a/dmriprep/workflows/dwi/unring.py b/dmriprep/workflows/dwi/unring.py
new file mode 100644
index 00000000..dfa15197
--- /dev/null
+++ b/dmriprep/workflows/dwi/unring.py
@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_unring_wf():
+
+    wf = pe.Workflow(name="unring_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
+    )
+
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    wf.connect(
+        [
+            (inputnode, unring, [("dwi_file", "in_file")]),
+            (unring, outputnode, [("out_file", "out_file")]),
+        ]
+    )
+
+    return wf
diff --git a/dmripreproc/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
similarity index 100%
rename from dmripreproc/workflows/fieldmap/__init__.py
rename to dmriprep/workflows/fieldmap/__init__.py
diff --git a/dmripreproc/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
similarity index 92%
rename from dmripreproc/workflows/fieldmap/base.py
rename to dmriprep/workflows/fieldmap/base.py
index 189c2bf0..3776612a 100644
--- a/dmripreproc/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -40,7 +40,7 @@ def init_sdc_prep_wf(
         ),
         name="outputnode",
     )
-    if (synb0):
+    if synb0:
         from .pepolar import init_synb0_wf
 
         synb0_wf = init_synb0_wf(subject_id, metadata, synb0)
@@ -59,9 +59,9 @@ def init_sdc_prep_wf(
                         ("outputnode.out_topup", "out_topup"),
                         ("outputnode.out_movpar", "out_movpar"),
                         ("outputnode.out_enc_file", "out_enc_file"),
-                        ("outputnode.out_fmap", "out_fmap")
+                        ("outputnode.out_fmap", "out_fmap"),
                     ],
-                )
+                ),
             ]
         )
     else:
@@ -93,13 +93,13 @@ def init_sdc_prep_wf(
                             ("outputnode.out_topup", "out_topup"),
                             ("outputnode.out_movpar", "out_movpar"),
                             ("outputnode.out_enc_file", "out_enc_file"),
-                            ("outputnode.out_fmap", "out_fmap")
+                            ("outputnode.out_fmap", "out_fmap"),
                         ],
-                    )
+                    ),
                 ]
             )
 
-        if fmap["suffix"] == "fieldmap":
+        elif fmap["suffix"] == "fieldmap":
             from .fmap import init_fmap_wf
 
             fmap_wf = init_fmap_wf()
@@ -113,11 +113,15 @@ def init_sdc_prep_wf(
                         fmap_wf,
                         [("b0_stripped", "inputnode.b0_stripped")],
                     ),
-                    (fmap_wf, outputnode, [("outputnode.out_fmap", "out_fmap")]),
+                    (
+                        fmap_wf,
+                        outputnode,
+                        [("outputnode.out_fmap", "out_fmap")],
+                    ),
                 ]
             )
 
-        if fmap["suffix"] in ("phasediff", "phase"):
+        elif fmap["suffix"] in ("phasediff", "phase"):
             from .phasediff import init_phase_wf, init_phdiff_wf
             from .fmap import init_fmap_wf
 
@@ -204,4 +208,6 @@ def init_sdc_prep_wf(
                         ),
                     ]
                 )
+        else:
+            print("No sdc correction")
     return sdc_prep_wf
diff --git a/dmripreproc/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
similarity index 100%
rename from dmripreproc/workflows/fieldmap/fmap.py
rename to dmriprep/workflows/fieldmap/fmap.py
diff --git a/dmripreproc/workflows/fieldmap/pepolar.py b/dmriprep/workflows/fieldmap/pepolar.py
similarity index 60%
rename from dmripreproc/workflows/fieldmap/pepolar.py
rename to dmriprep/workflows/fieldmap/pepolar.py
index a3ae9b22..3243a043 100644
--- a/dmripreproc/workflows/fieldmap/pepolar.py
+++ b/dmriprep/workflows/fieldmap/pepolar.py
@@ -22,15 +22,24 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
             file2dir[fmap] = pe_dir
 
     if not usable_fieldmaps_opposite_pe:
-        raise Exception("None of the discovered fieldmaps for "
-                        "participant {} has the right phase "
-                        "encoding direction".format(subject_id))
+        raise Exception(
+            "None of the discovered fieldmaps for "
+            "participant {} has the right phase "
+            "encoding direction".format(subject_id)
+        )
 
     wf = pe.Workflow(name="pepolar_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name = "inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode"
+    )
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]), name = "outputnode")
+    outputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]
+        ),
+        name="outputnode",
+    )
 
     topup_wf = init_topup_wf()
     topup_wf.inputs.inputnode.altepi_file = usable_fieldmaps_opposite_pe[0]
@@ -38,23 +47,26 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
     if not usable_fieldmaps_matching_pe:
         wf.connect(
-            [
-                (inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])
-            ]
+            [(inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])]
         )
     else:
         topup_wf.inputs.inputnode.epi_file = usable_fieldmaps_matching_pe[0]
 
-    epi_list = [topup_wf.inputs.inputnode.epi_file, topup_wf.inputs.inputnode.altepi_file]
+    epi_list = [
+        topup_wf.inputs.inputnode.epi_file,
+        topup_wf.inputs.inputnode.altepi_file,
+    ]
     dir_map = {
-        'i': 'x',
-        'i-': 'x-',
-        'j': 'y',
-        'j-': 'y-',
-        'k': 'z',
-        'k-': 'z-'
+        "i": "x",
+        "i-": "x-",
+        "j": "y",
+        "j-": "y-",
+        "k": "z",
+        "k-": "z-",
     }
-    topup_wf.inputs.inputnode.encoding_directions = [dir_map[file2dir[file]] for file in epi_list]
+    topup_wf.inputs.inputnode.encoding_directions = [
+        dir_map[file2dir[file]] for file in epi_list
+    ]
 
     wf.connect(
         [
@@ -66,13 +78,14 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
                     ("outputnode.out_movpar", "out_movpar"),
                     ("outputnode.out_base", "out_topup"),
                     ("outputnode.out_enc_file", "out_enc_file"),
-                ]
-            ),
+                ],
+            )
         ]
     )
 
     return wf
 
+
 def init_synb0_wf(subject_id, dwi_meta, synb0):
     dwi_file_pe = dwi_meta["PhaseEncodingDirection"]
 
@@ -83,19 +96,24 @@ def init_synb0_wf(subject_id, dwi_meta, synb0):
 
     wf = pe.Workflow(name="synb0_wf")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["b0_stripped"]), name = "inputnode")
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode"
+    )
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]), name = "outputnode")
+    outputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]
+        ),
+        name="outputnode",
+    )
 
     topup_wf = init_topup_wf(use_acqp=True)
     topup_wf.inputs.inputnode.altepi_file = synb0
     wf.add_nodes([inputnode])
     wf.connect(
-        [
-            (inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])
-        ]
+        [(inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])]
     )
-    topup_wf.inputs.inputnode.acqp = '/scratch/smansour/synb0_acqp.txt'
+    topup_wf.inputs.inputnode.acqp = "/scratch/smansour/synb0_acqp.txt"
 
     wf.connect(
         [
@@ -106,28 +124,41 @@ def init_synb0_wf(subject_id, dwi_meta, synb0):
                     ("outputnode.out_fmap", "out_fmap"),
                     ("outputnode.out_movpar", "out_movpar"),
                     ("outputnode.out_base", "out_topup"),
-                ]
-            ),
+                ],
+            )
         ]
     )
 
     return wf
 
+
 def init_topup_wf(use_acqp=False):
     from ...interfaces import mrtrix3
 
     wf = pe.Workflow(name="topup_wf")
 
     inputnode = pe.Node(
-        niu.IdentityInterface(fields=["epi_file", "altepi_file", "encoding_directions", "topup_name", "acqp"]),
-        name="inputnode")
+        niu.IdentityInterface(
+            fields=[
+                "epi_file",
+                "altepi_file",
+                "encoding_directions",
+                "topup_name",
+                "acqp",
+            ]
+        ),
+        name="inputnode",
+    )
     inputnode.inputs.topup_name = "topup_base"
 
     epi_flirt = pe.Node(fsl.FLIRT(), name="epi_flirt")
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_fmap", "out_movpar", "out_base", "out_enc_file"]),
-        name="outputnode")
+        niu.IdentityInterface(
+            fields=["out_fmap", "out_movpar", "out_base", "out_enc_file"]
+        ),
+        name="outputnode",
+    )
 
     list_merge = pe.Node(niu.Merge(numinputs=2), name="list_merge")
 
@@ -141,35 +172,32 @@ def init_topup_wf(use_acqp=False):
     get_base_movpar = lambda x: x.split("_movpar.txt")[0]
 
     if use_acqp:
-        wf.connect(
-            [
-                (inputnode, topup, [("acqp", "encoding_file")])
-            ]
-        )
+        wf.connect([(inputnode, topup, [("acqp", "encoding_file")])])
     else:
         topup.inputs.readout_times = [0.05, 0.05]
         wf.connect(
             [
-                (inputnode, topup, [("encoding_directions", "encoding_direction")])
+                (
+                    inputnode,
+                    topup,
+                    [("encoding_directions", "encoding_direction")],
+                )
             ]
         )
 
     wf.connect(
         [
-            (
-                inputnode,
-                list_merge,
-                [("epi_file", "in1")]
-            ),
+            (inputnode, list_merge, [("epi_file", "in1")]),
             (
                 inputnode,
                 epi_flirt,
-                [("altepi_file", "in_file"), ("epi_file", "reference")]
+                [("altepi_file", "in_file"), ("epi_file", "reference")],
             ),
             (epi_flirt, list_merge, [("out_file", "in2")]),
             (list_merge, merge, [("out", "in_files")]),
-            (merge, resize, [("merged_file", "in_file")]),
-            (resize, topup, [("out_file", "in_file")]),
+            # (merge, resize, [("merged_file", "in_file")]),
+            # (resize, topup, [("out_file", "in_file")]),
+            (merge, topup, [("merged_file", "in_file")]),
             (
                 topup,
                 outputnode,
@@ -177,8 +205,8 @@ def init_topup_wf(use_acqp=False):
                     ("out_field", "out_fmap"),
                     ("out_movpar", "out_movpar"),
                     ("out_enc_file", "out_enc_file"),
-                    (("out_movpar", get_base_movpar), "out_base")
-                ]
+                    (("out_movpar", get_base_movpar), "out_base"),
+                ],
             ),
         ]
     )
diff --git a/dmripreproc/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
similarity index 85%
rename from dmripreproc/workflows/fieldmap/phasediff.py
rename to dmriprep/workflows/fieldmap/phasediff.py
index c47ec565..941b944d 100644
--- a/dmripreproc/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 
 from nipype.pipeline import engine as pe
-from nipype.interfaces import fsl, utility as niu
+from nipype.interfaces import fsl, ants, utility as niu
 from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
 
 
@@ -23,6 +23,11 @@ def init_phase_wf(bet_mag_frac):
 
     phases2fmap = pe.Node(Phases2Fieldmap(), name="phases2fmap")
 
+    n4_correct = pe.Node(
+        ants.N4BiasFieldCorrection(dimension=3, copy_header=True),
+        name="n4_correct",
+    )
+
     mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True), name="mag_bet")
 
     prep_fmap = pe.Node(
@@ -42,8 +47,10 @@ def init_phase_wf(bet_mag_frac):
 
     wf.connect(
         [
+            # Mag bias correct
+            (inputnode, n4_correct, [("magnitude1", "input_image")]),
             # Mag bet
-            (inputnode, mag_bet, [("magnitude1", "in_file")]),
+            (n4_correct, mag_bet, [("output_image", "in_file")]),
             # phases -> phdiff
             (inputnode, phases2fmap, [("phases_meta", "metadatas")]),
             (inputnode, phases2fmap, [("phasediff", "phase_files")]),
@@ -79,7 +86,14 @@ def init_phdiff_wf(bet_mag_frac):
         name="outputnode",
     )
 
-    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True), name="mag_bet")
+    n4_correct = pe.Node(
+        ants.N4BiasFieldCorrection(dimension=3, copy_header=True),
+        name="n4_correct",
+    )
+
+    mag_bet = pe.Node(
+        fsl.BET(frac=bet_mag_frac, robust=True, mask=True), name="mag_bet"
+    )
 
     prep_fmap = pe.Node(
         fsl.PrepareFieldmap(scanner="SIEMENS"), name="prep_fmap"
@@ -100,8 +114,10 @@ def init_phdiff_wf(bet_mag_frac):
 
     wf.connect(
         [
-            # mag bet
-            (inputnode, mag_bet, [("magnitude1", "in_file")]),
+            # Mag bias correct
+            (inputnode, n4_correct, [("magnitude1", "input_image")]),
+            # Mag bet
+            (n4_correct, mag_bet, [("output_image", "in_file")]),
             # phdiff delta_te
             (inputnode, delta, [("phases_meta", "in_values")]),
             # prep fmap
diff --git a/dmripreproc/interfaces/fsl.py b/dmripreproc/interfaces/fsl.py
deleted file mode 100644
index a49ff90b..00000000
--- a/dmripreproc/interfaces/fsl.py
+++ /dev/null
@@ -1,470 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import (
-    print_function,
-    division,
-    unicode_literals,
-    absolute_import,
-)
-
-from builtins import str
-
-import os
-
-from nipype.interfaces.base import traits, TraitedSpec, File, isdefined
-from nipype.interfaces.fsl.base import FSLCommand, FSLCommandInputSpec
-
-
-class EddyInputSpec(FSLCommandInputSpec):
-    in_file = File(
-        exists=True,
-        mandatory=True,
-        argstr='--imain=%s',
-        desc=('File containing all the images to estimate '
-              'distortions for'))
-    in_mask = File(
-        exists=True,
-        mandatory=True,
-        argstr='--mask=%s',
-        desc='Mask to indicate brain')
-    in_index = File(
-        exists=True,
-        mandatory=True,
-        argstr='--index=%s',
-        desc=('File containing indices for all volumes in --imain '
-              'into --acqp and --topup'))
-    in_acqp = File(
-        exists=True,
-        mandatory=True,
-        argstr='--acqp=%s',
-        desc='File containing acquisition parameters')
-    in_bvec = File(
-        exists=True,
-        mandatory=True,
-        argstr='--bvecs=%s',
-        desc=('File containing the b-vectors for all volumes in '
-              '--imain'))
-    in_bval = File(
-        exists=True,
-        mandatory=True,
-        argstr='--bvals=%s',
-        desc=('File containing the b-values for all volumes in '
-              '--imain'))
-    out_base = traits.Str(
-        default_value='eddy_corrected',
-        argstr='--out=%s',
-        usedefault=True,
-        desc=('basename for output (warped) image'))
-    session = File(
-        exists=True,
-        argstr='--session=%s',
-        desc=('File containing session indices for all volumes in '
-              '--imain'))
-    in_topup_fieldcoef = File(
-        exists=True,
-        argstr='--topup=%s',
-        requires=['in_topup_movpar'],
-        desc=('topup file containing the field '
-              'coefficients'))
-    in_topup_movpar = File(
-        exists=True,
-        requires=['in_topup_fieldcoef'],
-        desc='topup movpar.txt file')
-    field = traits.Str(
-        exists=True,
-        argstr='--field=%s',
-        desc='NonTOPUP fieldmap scaled in Hz. TOPUP is '
-        'strongly recommended')
-    field_mat = File(
-        exists=True,
-        argstr='--field_mat=%s',
-        desc='Matrix that specifies the relative locations of '
-        'the field specified by --field and first volume '
-        'in file --imain')
-    mb = traits.Int(
-        argstr='--mb=%s', desc='Multi-band factor', min_ver='5.0.10')
-    mb_offs = traits.Enum(
-        -1,
-        1,
-        argstr='--mb_offs=%s',
-        desc='Multi-band offset (-1 if bottom slice removed, 1 if top slice removed',
-        requires=['mb'],
-        min_ver='5.0.10')
-
-    slspec = traits.File(
-        exists=True,
-        argstr='--slspec=%s',
-        desc='Name of text file completely specifying slice/group acquisition',
-        xor=['json'],
-        min_ver='5.0.11')
-    json = traits.File(
-        exists=True,
-        argstr='--json=%s',
-        desc='Name of .json text file with information about slice timing',
-        xor=['slspec'],
-        min_ver='6.0.1')
-    mporder = traits.Int(
-        argstr='--mporder=%s',
-        desc='Order of slice-to-vol movement model',
-        requires=['slspec'],
-        min_ver='5.0.11')
-    s2v_lambda = traits.Int(
-        #default_value=1,
-        #usedefault=True,
-        agstr='--s2v_lambda',
-        desc='Regularisation weight for slice-to-vol movement (reasonable range 1-10)',
-        requires=['slspec'],
-        min_ver='5.0.11')
-
-    flm = traits.Enum(
-        'linear',
-        'quadratic',
-        'cubic',  # added movement option in 5.0.11
-        argstr='--flm=%s',
-        desc='First level EC model')
-
-    slm = traits.Enum(
-        'none',
-        'linear',
-        'quadratic',
-        argstr='--slm=%s',
-        desc='Second level EC model')
-
-    fwhm = traits.Float(
-        desc=('FWHM for conditioning filter when estimating '
-              'the parameters'),
-        argstr='--fwhm=%s')
-
-    niter = traits.Int(
-        default_value=5,
-        usedefault=True,
-        argstr='--niter=%s',
-        desc='Number of iterations')
-    s2v_niter = traits.Int(
-        #default_value=5,
-        #usedefault=True,
-        argstr='--s2v_niter=%s',
-        desc='Number of iterations for slice-to-vol',
-        requires=['slspec'],
-        min_ver='5.0.11')
-
-    fep = traits.Bool(
-        default_value=False,
-        argstr='--fep',
-        desc='Fill empty planes in x- or y-directions')
-
-    interp = traits.Enum(
-        'spline',
-        'trilinear',
-        argstr='--interp=%s',
-        desc='Interpolation model for estimation step')
-    s2v_interp = traits.Enum(
-        'trilinear',
-        'spline',
-        argstr='--s2v_interp=%s',
-        desc='Slice-to-vol interpolation model for estimation step',
-        requires=['slspec'],
-        min_ver='5.0.11')
-
-    method = traits.Enum(
-        'jac',
-        'lsr',
-        argstr='--resamp=%s',
-        desc=('Final resampling method (jacobian/least '
-              'squares)'))
-
-    nvoxhp = traits.Int(
-        default_value=1000,
-        usedefault=True,
-        argstr='--nvoxhp=%s',
-        desc=('# of voxels used to estimate the '
-              'hyperparameters'))
-
-    initrand = traits.Bool(
-        default_value=False,
-        argstr='--initrand',
-        desc='Resets rand for when selecting voxels',
-        min_ver='5.0.10')
-
-    fudge_factor = traits.Float(
-        default_value=10.0,
-        usedefault=True,
-        argstr='--ff=%s',
-        desc=('Fudge factor for hyperparameter '
-              'error variance'))
-
-    repol = traits.Bool(
-        default_value=False,
-        argstr='--repol',
-        desc='Detect and replace outlier slices')
-
-    outlier_nstd = traits.Int(
-        #default_value=4,
-        #usedefault=True,
-        argstr='--ol_nstd',
-        desc='Number of std off to qualify as outlier',
-        requires=['repol'],
-        min_ver='5.0.10',
-    )
-    outlier_nvox = traits.Int(
-        #default_value=250,
-        #usedefault=True,
-        argstr='--ol_nvox',
-        desc='Min # of voxels in a slice for inclusion in outlier detection',
-        requires=['repol'],
-        min_ver='5.0.10',
-    )
-    outlier_type = traits.Enum(
-        'sw',
-        'gw',
-        'both',
-        argstr='--ol_type',
-        desc='Type of outliers, slicewise (sw), groupwise (gw) or both (both)',
-        requires=['repol'],
-        min_ver='5.0.10',
-    )
-    outlier_pos = traits.Bool(
-        #default_value=False,
-        argstr='--ol_pos',
-        desc='Consider both positive and negative outliers if set',
-        requires=['repol'],
-        min_ver='5.0.10',
-    )
-    outlier_sqr = traits.Bool(
-        #default_value=False,
-        argstr='--ol_sqr',
-        desc='Consider outliers among sums-of-squared differences if set',
-        requires=['repol'],
-        min_ver='5.0.10',
-    )
-    estimate_move_by_susceptibility = traits.Bool(
-        default_value=False,
-        argstr='--estimate_move_by_susceptibility',
-        desc='Estimate how susceptibility field changes with subject movement',
-        min_ver='6.0.1',
-    )
-
-    mbs_niter = traits.Int(
-        #default_value=10,
-        #use_default=True,
-        argstr='--mbs_niter=%s',
-        desc='Number of iterations for MBS estimation',
-        requires=['estimate_move_by_susceptibility'],
-        min_ver='6.0.1',
-    )
-    mbs_lambda = traits.Int(
-        #default_value=10,
-        #use_default=True,
-        argstr='--mbs_lambda=%s',
-        desc='Weighting of regularisation for MBS estimation',
-        requires=['estimate_move_by_susceptibility'],
-        min_ver='6.0.1',
-    )
-    mbs_ksp = traits.Int(
-        #default_value=10,
-        #use_default=True,
-        argstr='--mbs_ksp=%smm',
-        desc='Knot-spacing for MBS field estimation',
-        requires=['estimate_move_by_susceptibility'],
-        min_ver='6.0.1',
-    )
-
-    dont_sep_offs_move = traits.Bool(
-        default_value=False,
-        argstr='--dont_sep_offs_move',
-        desc=('Do NOT attempt to separate '
-              'field offset from subject '
-              'movement'))
-
-    dont_peas = traits.Bool(
-        default_value=False,
-        argstr='--dont_peas',
-        desc='Do NOT perform a post-eddy alignment of '
-        '"shells"')
-
-    is_shelled = traits.Bool(
-        default_value=False,
-        argstr='--data_is_shelled',
-        desc='Override internal check to ensure that '
-        'date are acquired on a set of b-value '
-        'shells')
-
-    num_threads = traits.Int(
-        default_value=1,
-        usedefault=True,
-        nohash=True,
-        desc='Number of openmp threads to use')
-
-    use_cuda = traits.Bool(
-        default_value=False,
-        desc='Run eddy using cuda gpu')
-    cnr_maps = traits.Bool(
-        default_value=False,
-        desc='Output CNR-Maps',
-        argstr='--cnr_maps',
-        min_ver='5.0.10')
-    residuals = traits.Bool(
-        default_value=False,
-        desc='Output Residuals',
-        argstr='--residuals',
-        min_ver='5.0.10')
-
-
-class EddyOutputSpec(TraitedSpec):
-    out_corrected = File(
-        exists=True, desc='4D image file containing all the corrected volumes')
-    out_parameter = File(
-        exists=True,
-        desc=('text file with parameters definining the field and'
-              'movement for each scan'))
-    out_rotated_bvecs = File(
-        exists=True, desc='File containing rotated b-values for all volumes')
-    out_movement_rms = File(
-        exists=True,
-        desc='Summary of the "total movement" in each volume')
-    out_restricted_movement_rms = File(
-        exists=True,
-        desc=('Summary of the "total movement" in each volume '
-              'disregarding translation in the PE direction'))
-    out_shell_alignment_parameters = File(
-        exists=True,
-        desc=('File containing rigid body movement parameters '
-              'between the different shells as estimated by a '
-              'post-hoc mutual information based registration'))
-    out_outlier_report = File(
-        exists=True,
-        desc=('Text-file with a plain language report on what '
-              'outlier slices eddy has found'))
-    out_cnr_maps = File(
-        exists=True, desc='path/name of file with the cnr_maps')
-    out_residuals = File(
-        exists=True, desc='path/name of file with the residuals')
-
-
-class Eddy(FSLCommand):
-    """
-    Interface for FSL eddy, a tool for estimating and correcting eddy
-    currents induced distortions. `User guide
-    <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Eddy/UsersGuide>`_ and
-    `more info regarding acqp file
-    <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/Faq#How_do_I_know_what_to_put_into_my_--acqp_file>`_.
-
-    Examples
-    --------
-
-    >>> from nipype.interfaces.fsl import Eddy
-    >>> eddy = Eddy()
-    >>> eddy.inputs.in_file = 'epi.nii'
-    >>> eddy.inputs.in_mask  = 'epi_mask.nii'
-    >>> eddy.inputs.in_index = 'epi_index.txt'
-    >>> eddy.inputs.in_acqp  = 'epi_acqp.txt'
-    >>> eddy.inputs.in_bvec  = 'bvecs.scheme'
-    >>> eddy.inputs.in_bval  = 'bvals.scheme'
-    >>> eddy.inputs.use_cuda = True
-    >>> eddy.cmdline # doctest: +ELLIPSIS
-    'eddy_cuda --ff=10.0 --acqp=epi_acqp.txt --bvals=bvals.scheme \
---bvecs=bvecs.scheme --imain=epi.nii --index=epi_index.txt \
---mask=epi_mask.nii --niter=5 --nvoxhp=1000 --out=.../eddy_corrected'
-    >>> eddy.inputs.use_cuda = False
-    >>> eddy.cmdline # doctest: +ELLIPSIS
-    'eddy_openmp --ff=10.0 --acqp=epi_acqp.txt --bvals=bvals.scheme \
---bvecs=bvecs.scheme --imain=epi.nii --index=epi_index.txt \
---mask=epi_mask.nii --niter=5 --nvoxhp=1000 --out=.../eddy_corrected'
-    >>> res = eddy.run() # doctest: +SKIP
-
-    """
-    _cmd = 'eddy_openmp'
-    input_spec = EddyInputSpec
-    output_spec = EddyOutputSpec
-
-    _num_threads = 1
-
-    def __init__(self, **inputs):
-        super(Eddy, self).__init__(**inputs)
-        self.inputs.on_trait_change(self._num_threads_update, 'num_threads')
-        if not isdefined(self.inputs.num_threads):
-            self.inputs.num_threads = self._num_threads
-        else:
-            self._num_threads_update()
-        self.inputs.on_trait_change(self._use_cuda, 'use_cuda')
-        if isdefined(self.inputs.use_cuda):
-            self._use_cuda()
-
-    def _num_threads_update(self):
-        self._num_threads = self.inputs.num_threads
-        if not isdefined(self.inputs.num_threads):
-            if 'OMP_NUM_THREADS' in self.inputs.environ:
-                del self.inputs.environ['OMP_NUM_THREADS']
-        else:
-            self.inputs.environ['OMP_NUM_THREADS'] = str(
-                self.inputs.num_threads)
-
-    def _use_cuda(self):
-        self._cmd = 'eddy_cuda' if self.inputs.use_cuda else 'eddy_openmp'
-
-    def _run_interface(self, runtime):
-        # If 'eddy_openmp' is missing, use 'eddy'
-        FSLDIR = os.getenv('FSLDIR', '')
-        cmd = self._cmd
-        if all((FSLDIR != '', cmd == 'eddy_openmp',
-                not os.path.exists(os.path.join(FSLDIR, 'bin', cmd)))):
-            self._cmd = 'eddy'
-        runtime = super(Eddy, self)._run_interface(runtime)
-
-        # Restore command to avoid side-effects
-        self._cmd = cmd
-        return runtime
-
-    def _format_arg(self, name, spec, value):
-        if name == 'in_topup_fieldcoef':
-            return spec.argstr % value.split('_fieldcoef')[0]
-        if name == 'field':
-            return spec.argstr % value.split('.nii.gz')[0]
-        if name == 'out_base':
-            return spec.argstr % os.path.abspath(value)
-        return super(Eddy, self)._format_arg(name, spec, value)
-
-    def _list_outputs(self):
-        outputs = self.output_spec().get()
-        outputs['out_corrected'] = os.path.abspath(
-            '%s.nii.gz' % self.inputs.out_base)
-        outputs['out_parameter'] = os.path.abspath(
-            '%s.eddy_parameters' % self.inputs.out_base)
-
-        # File generation might depend on the version of EDDY
-        out_rotated_bvecs = os.path.abspath(
-            '%s.eddy_rotated_bvecs' % self.inputs.out_base)
-        out_movement_rms = os.path.abspath(
-            '%s.eddy_movement_rms' % self.inputs.out_base)
-        out_restricted_movement_rms = os.path.abspath(
-            '%s.eddy_restricted_movement_rms' % self.inputs.out_base)
-        out_shell_alignment_parameters = os.path.abspath(
-            '%s.eddy_post_eddy_shell_alignment_parameters' %
-            self.inputs.out_base)
-        out_outlier_report = os.path.abspath(
-            '%s.eddy_outlier_report' % self.inputs.out_base)
-        if isdefined(self.inputs.cnr_maps) and self.inputs.cnr_maps:
-            out_cnr_maps = os.path.abspath(
-                '%s.eddy_cnr_maps.nii.gz' % self.inputs.out_base)
-            if os.path.exists(out_cnr_maps):
-                outputs['out_cnr_maps'] = out_cnr_maps
-        if isdefined(self.inputs.residuals) and self.inputs.residuals:
-            out_residuals = os.path.abspath(
-                '%s.eddy_residuals.nii.gz' % self.inputs.out_base)
-            if os.path.exists(out_residuals):
-                outputs['out_residuals'] = out_residuals
-
-        if os.path.exists(out_rotated_bvecs):
-            outputs['out_rotated_bvecs'] = out_rotated_bvecs
-        if os.path.exists(out_movement_rms):
-            outputs['out_movement_rms'] = out_movement_rms
-        if os.path.exists(out_restricted_movement_rms):
-            outputs['out_restricted_movement_rms'] = \
-                out_restricted_movement_rms
-        if os.path.exists(out_shell_alignment_parameters):
-            outputs['out_shell_alignment_parameters'] = \
-                out_shell_alignment_parameters
-        if os.path.exists(out_outlier_report):
-            outputs['out_outlier_report'] = out_outlier_report
-
-        return outputs
diff --git a/dmripreproc/interfaces/mrtrix3.py b/dmripreproc/interfaces/mrtrix3.py
deleted file mode 100644
index 74dd378f..00000000
--- a/dmripreproc/interfaces/mrtrix3.py
+++ /dev/null
@@ -1,229 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import (
-    print_function,
-    division,
-    unicode_literals,
-    absolute_import,
-)
-
-from nipype.interfaces.base import traits, TraitedSpec, File
-from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base
-
-
-class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):
-    in_file = File(
-        exists=True,
-        argstr='%s',
-        position=-2,
-        mandatory=True,
-        desc='input DWI image')
-    mask = File(
-        exists=True,
-        argstr='-mask %s',
-        position=1,
-        desc='mask image')
-    extent = traits.Tuple(
-        (traits.Int, traits.Int, traits.Int),
-        argstr='-extent %d,%d,%d',
-        desc='set the window size of the denoising filter. (default = 5,5,5)')
-    noise = File(
-        argstr='-noise %s',
-        name_template='%s_noise',
-        name_source='in_file',
-        keep_extension=True,
-        desc='the output noise map')
-    out_file = File(
-        argstr='%s',
-        position=-1,
-        name_template='%s_denoised',
-        name_source='in_file',
-        keep_extension=True,
-        desc='the output denoised DWI image')
-
-
-class DWIDenoiseOutputSpec(TraitedSpec):
-    noise = File(desc='the output noise map', exists=True)
-    out_file = File(desc='the output denoised DWI image', exists=True)
-
-class DWIDenoise(MRTrix3Base):
-    """
-    Denoise DWI data and estimate the noise level based on the optimal
-    threshold for PCA.
-    DWI data denoising and noise map estimation by exploiting data redundancy
-    in the PCA domain using the prior knowledge that the eigenspectrum of
-    random covariance matrices is described by the universal Marchenko Pastur
-    distribution.
-    Important note: image denoising must be performed as the first step of the
-    image processing pipeline. The routine will fail if interpolation or
-    smoothing has been applied to the data prior to denoising.
-    Note that this function does not correct for non-Gaussian noise biases.
-    For more information, see
-    <https://mrtrix.readthedocs.io/en/latest/reference/commands/dwidenoise.html>
-    Example
-    -------
-    >>> import nipype.interfaces.mrtrix3 as mrt
-    >>> denoise = mrt.DWIDenoise()
-    >>> denoise.inputs.in_file = 'dwi.mif'
-    >>> denoise.inputs.mask = 'mask.mif'
-    >>> denoise.inputs.noise = 'noise.mif'
-    >>> denoise.cmdline                               # doctest: +ELLIPSIS
-    'dwidenoise -mask mask.mif -noise noise.mif dwi.mif dwi_denoised.mif'
-    >>> denoise.run()                                 # doctest: +SKIP
-    """
-
-    _cmd = 'dwidenoise'
-    input_spec = DWIDenoiseInputSpec
-    output_spec = DWIDenoiseOutputSpec
-
-
-class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):
-    in_file = File(
-        exists=True,
-        argstr='%s',
-        position=-2,
-        mandatory=True,
-        desc='input DWI image')
-    axes = traits.ListInt(
-        default_value=[0, 1],
-        usedefault=True,
-        sep=',',
-        minlen=2,
-        maxlen=2,
-        argstr='-axes %s',
-        desc='indicate the plane in which the data was acquired (axial = 0,1; '
-             'coronal = 0,2; sagittal = 1,2')
-    nshifts = traits.Int(
-        default_value=20,
-        usedefault=True,
-        argstr='-nshifts %d',
-        desc='discretization of subpixel spacing (default = 20)')
-    minW = traits.Int(
-        default_value=1,
-        usedefault=True,
-        argstr='-minW %d',
-        desc='left border of window used for total variation (TV) computation '
-             '(default = 1)')
-    maxW = traits.Int(
-        default_value=3,
-        usedefault=True,
-        argstr='-maxW %d',
-        desc='right border of window used for total variation (TV) computation '
-             '(default = 3)')
-    out_file = File(
-        name_template='%s_unr',
-        name_source='in_file',
-        keep_extension=True,
-        argstr='%s',
-        position=-1,
-        desc='the output unringed DWI image')
-
-class MRDeGibbsOutputSpec(TraitedSpec):
-    out_file = File(desc='the output unringed DWI image', exists=True)
-
-class MRDeGibbs(MRTrix3Base):
-    """
-    Remove Gibbs ringing artifacts.
-    This application attempts to remove Gibbs ringing artefacts from MRI images
-    using the method of local subvoxel-shifts proposed by Kellner et al.
-    This command is designed to run on data directly after it has been
-    reconstructed by the scanner, before any interpolation of any kind has
-    taken place. You should not run this command after any form of motion
-    correction (e.g. not after dwipreproc). Similarly, if you intend running
-    dwidenoise, you should run this command afterwards, since it has the
-    potential to alter the noise structure, which would impact on dwidenoise's
-    performance.
-    Note that this method is designed to work on images acquired with full
-    k-space coverage. Running this method on partial Fourier ('half-scan') data
-    may lead to suboptimal and/or biased results, as noted in the original
-    reference below. There is currently no means of dealing with this; users
-    should exercise caution when using this method on partial Fourier data, and
-    inspect its output for any obvious artefacts.
-    For more information, see
-    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrdegibbs.html>
-    Example
-    -------
-    >>> import nipype.interfaces.mrtrix3 as mrt
-    >>> unring = mrt.MRDeGibbs()
-    >>> unring.inputs.in_file = 'dwi.mif'
-    >>> unring.cmdline
-    'mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 dwi.mif dwi_unr.mif'
-    >>> unring.run()                                 # doctest: +SKIP
-    """
-
-    _cmd = 'mrdegibbs'
-    input_spec = MRDeGibbsInputSpec
-    output_spec = MRDeGibbsOutputSpec
-
-
-class MRResizeInputSpec(MRTrix3BaseInputSpec):
-    in_file = File(
-        exists=True,
-        argstr="%s",
-        position=-2,
-        mandatory=True,
-        desc="input DWI image",
-    )
-    size = traits.List(
-        traits.Int(),
-        argstr="-size %s",
-        desc="define the new image size for the output image. This should be "
-        "specified as a comma-separated list.",
-    )
-    voxel_size = traits.List(
-        traits.Float(),
-        argstr="-voxel %s",
-        desc="define the new voxel size for the output image. This can be "
-        "specified either as a single value to be used for all "
-        "dimensions, or as a comma-separated list of the size for each "
-        "voxel dimension.",
-    )
-    scale = traits.Float(
-        argstr="-scale %s",
-        desc="scale the image resolution by the supplied factor. This can be "
-        "specified either as a single value to be used for all "
-        "dimensions, or as a comma-separated list of scale factors for "
-        "each dimension.",
-    )
-    interp = traits.Enum(
-        "nearest",
-        "linear",
-        "cubic",
-        "sinc",
-        default="cubic",
-        argstr="-interp %s",
-        desc="set the interpolation method to use when resizing (choices: "
-        "nearest, linear, cubic, sinc. Default: cubic).",
-    )
-
-    out_file = File(
-        argstr="%s",
-        name_template="%s_resized",
-        name_source=["in_file"],
-        keep_extension=True,
-        position=-1,
-        desc="the output resized DWI image",
-    )
-
-class MRResizeOutputSpec(TraitedSpec):
-    out_file = File(desc="the output resized DWI image", exists=True)
-
-class MRResize(MRTrix3Base):
-    """
-    Resize an image by defining the new image resolution, voxel size or a scale factor
-    For more information, see
-    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrresize.html>
-    Example
-    -------
-    >>> import nipype.interfaces.mrtrix3 as mrt
-    >>> resize = mrt.MRResize()
-    >>> resize.inputs.in_file = 'dwi.mif'
-    >>> denoise.inputs.mask = 'mask.mif'
-    >>> denoise.cmdline                               # doctest: +ELLIPSIS
-    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'
-    >>> denoise.run()                                 # doctest: +SKIP
-    """
-
-    _cmd = "mrresize"
-    input_spec = MRResizeInputSpec
-    output_spec = MRResizeOutputSpec
diff --git a/dmripreproc/workflows/dwi/__init__.py b/dmripreproc/workflows/dwi/__init__.py
deleted file mode 100644
index 5e2e06f4..00000000
--- a/dmripreproc/workflows/dwi/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-#!/usr/bin/env python
-
-from .base import init_dwi_preproc_wf
-from .outputs import init_output_wf
-from .dwiprep import init_dwiprep_wf
diff --git a/dmripreproc/workflows/dwi/base.py b/dmripreproc/workflows/dwi/base.py
deleted file mode 100755
index ccdc3332..00000000
--- a/dmripreproc/workflows/dwi/base.py
+++ /dev/null
@@ -1,359 +0,0 @@
-#!/usr/bin/env python
-
-from bids import BIDSLayout
-from nipype.pipeline import engine as pe
-from nipype.interfaces import fsl, utility as niu
-from numba import cuda
-
-from ...interfaces import mrtrix3, fsl as dmri_fsl
-from ..fieldmap.base import init_sdc_prep_wf
-from .dwiprep import init_dwiprep_wf
-
-FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
-
-
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
-
-    fmaps = []
-    synb0 = ""
-
-    # If use_synb0 set, get synb0 from files
-    if parameters.synb0_dir:
-        synb0_layout = BIDSLayout(
-            parameters.synb0_dir, validate=False, derivatives=True
-        )
-        synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
-    else:
-        fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
-        if not fmaps:
-            raise Exception(
-                "No fieldmaps found for participant {}. "
-                "All workflows require fieldmaps".format(subject_id)
-            )
-
-        for fmap in fmaps:
-            fmap["metadata"] = parameters.layout.get_metadata(
-                fmap[fmap["suffix"]]
-            )
-
-    sdc_wf = init_sdc_prep_wf(
-        subject_id,
-        fmaps,
-        metadata,
-        parameters.layout,
-        parameters.bet_mag,
-        synb0,
-    )
-
-    dwi_wf = pe.Workflow(name="dwi_preproc_wf")
-
-    inputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=[
-                "subject_id",
-                "dwi_file",
-                "dwi_meta",
-                "bvec_file",
-                "bval_file",
-                "out_dir",
-                "eddy_niter",
-            ]
-        ),
-        name="inputnode",
-    )
-
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file", "out_mask", "out_bvec"]),
-        name="outputnode",
-    )
-
-    # Create the dwi prep workflow
-    dwi_prep_wf = init_dwiprep_wf(parameters.ignore)
-
-    def gen_index(in_file):
-        import os
-        import numpy as np
-        import nibabel as nib
-        from nipype.utils import NUMPY_MMAP
-        from nipype.utils.filemanip import fname_presuffix
-
-        out_file = fname_presuffix(
-            in_file,
-            suffix="_index.txt",
-            newpath=os.path.abspath("."),
-            use_ext=False,
-        )
-        vols = nib.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
-        index_lines = np.ones((vols,))
-        index_lines_reshape = index_lines.reshape(1, index_lines.shape[0])
-        np.savetxt(out_file, index_lines_reshape, fmt="%i")
-        return out_file
-
-    gen_idx = pe.Node(
-        niu.Function(
-            input_names=["in_file"],
-            output_names=["out_file"],
-            function=gen_index,
-        ),
-        name="gen_index",
-    )
-
-    def gen_acqparams(in_file, metadata):
-        import os
-        from nipype.utils.filemanip import fname_presuffix
-
-        out_file = fname_presuffix(
-            in_file,
-            suffix="_acqparams.txt",
-            newpath=os.path.abspath("."),
-            use_ext=False,
-        )
-
-        acq_param_dict = {
-            "j": "0 1 0 %.7f",
-            "j-": "0 -1 0 %.7f",
-            "i": "1 0 0 %.7f",
-            "i-": "-1 0 0 %.7f",
-            "k": "0 0 1 %.7f",
-            "k-": "0 0 -1 %.7f",
-        }
-
-        pe_dir = metadata.get("PhaseEncodingDirection")
-
-        total_readout = metadata.get("TotalReadoutTime")
-
-        acq_param_lines = acq_param_dict[pe_dir] % total_readout
-
-        with open(out_file, "w") as f:
-            f.write(acq_param_lines)
-
-        return out_file
-
-    acqp = pe.Node(
-        niu.Function(
-            input_names=["in_file", "metadata"],
-            output_names=["out_file"],
-            function=gen_acqparams,
-        ),
-        name="acqp",
-    )
-
-    def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
-        """
-        A function that averages the *b0* volumes from a DWI dataset.
-        As current dMRI data are being acquired with all b-values > 0.0,
-        the *lowb* volumes are selected by specifying the parameter b0_thresh.
-        .. warning:: *b0* should be already registered (head motion artifact
-        should be corrected).
-        """
-        import os
-        import numpy as np
-        import nibabel as nib
-        from nipype.utils import NUMPY_MMAP
-        from nipype.utils.filemanip import fname_presuffix
-
-        if out_file is None:
-            out_file = fname_presuffix(
-                in_dwi, suffix="_avg_b0", newpath=os.path.abspath(".")
-            )
-
-        imgs = np.array(nib.four_to_three(nib.load(in_dwi, mmap=NUMPY_MMAP)))
-        bval = np.loadtxt(in_bval)
-        index = np.argwhere(bval <= b0_thresh).flatten().tolist()
-
-        b0s = [im.get_data().astype(np.float32) for im in imgs[index]]
-        b0 = np.average(np.array(b0s), axis=0)
-
-        hdr = imgs[0].header.copy()
-        hdr.set_data_shape(b0.shape)
-        hdr.set_xyzt_units("mm")
-        hdr.set_data_dtype(np.float32)
-        nib.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
-        return out_file
-
-    avg_b0_0 = pe.Node(
-        niu.Function(
-            input_names=["in_dwi", "in_bval", "b0_thresh"],
-            output_names=["out_file"],
-            function=b0_average,
-        ),
-        name="b0_avg_pre",
-    )
-    avg_b0_0.inputs.b0_thresh = parameters.b0_thresh
-
-    # dilate mask
-    bet_dwi0 = pe.Node(
-        fsl.BET(frac=parameters.bet_dwi, mask=True, robust=True),
-        name="bet_dwi_pre",
-    )
-
-    # mrtrix3.MaskFilter
-
-    ecc = pe.Node(
-        dmri_fsl.Eddy(repol=True, cnr_maps=True, residuals=True),
-        name="fsl_eddy",
-    )
-
-    # if nthreads not specified, do this
-    import multiprocessing
-
-    ecc.inputs.num_threads = multiprocessing.cpu_count()
-
-    try:
-        if cuda.gpus:
-            ecc.inputs.use_cuda = True
-    except:
-        ecc.inputs.use_cuda = False
-
-    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name="denoise_eddy")
-
-    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
-
-    get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
-    get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-
-    def get_b0_mask_fn(b0_file):
-        import os
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        from dipy.segment.mask import median_otsu
-
-        mask_file = fname_presuffix(
-            b0_file, suffix="_mask", newpath=os.path.abspath(".")
-        )
-        img = nib.load(b0_file)
-        data, aff = img.get_data(), img.affine
-        _, mask = median_otsu(data, 2, 1)
-        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
-        return mask_file
-
-    b0mask_node = pe.Node(
-        niu.Function(
-            input_names=["b0_file"],
-            output_names=["mask_file"],
-            function=get_b0_mask_fn,
-        ),
-        name="getB0Mask",
-    )
-
-    # If synb0 is meant to be used
-    if parameters.synb0_dir:
-        dwi_wf.connect(
-            [
-                (
-                    sdc_wf,
-                    ecc,
-                    [
-                        ("outputnode.out_topup", "in_topup_fieldcoef"),
-                        ("outputnode.out_movpar", "in_topup_movpar"),
-                    ],
-                ),
-                (
-                    sdc_wf,
-                    eddy_quad,
-                    [("outputnode.out_enc_file", "param_file")],
-                ),
-            ]
-        )
-        ecc.inputs.in_acqp = parameters.acqp_file
-    else:
-        # Decide what ecc will take: topup or fmap
-        fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
-        fmap = fmaps[0]
-        # Else If epi files detected
-        if fmap["suffix"] == "epi":
-            dwi_wf.connect(
-                [
-                    (
-                        sdc_wf,
-                        ecc,
-                        [
-                            ("outputnode.out_topup", "in_topup_fieldcoef"),
-                            ("outputnode.out_enc_file", "in_acqp"),
-                            ("outputnode.out_movpar", "in_topup_movpar"),
-                        ],
-                    ),
-                    (
-                        sdc_wf,
-                        eddy_quad,
-                        [("outputnode.out_enc_file", "param_file")],
-                    ),
-                ]
-            )
-        # Otherwise (fieldmaps)
-        else:
-            dwi_wf.connect(
-                [
-                    (
-                        sdc_wf,
-                        ecc,
-                        [(("outputnode.out_fmap", get_path), "field")],
-                    ),
-                    (acqp, ecc, [("out_file", "in_acqp")]),
-                    (acqp, eddy_quad, [("out_file", "param_file")]),
-                ]
-            )
-
-    dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name="dtifit")
-
-    dwi_wf.connect(
-        [
-            (
-                inputnode,
-                dwi_prep_wf,
-                [("dwi_file", "dwi_prep_inputnode.dwi_file")],
-            ),
-            (
-                dwi_prep_wf,
-                avg_b0_0,
-                [("dwi_prep_outputnode.out_file", "in_dwi")],
-            ),
-            (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
-            (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
-            (inputnode, gen_idx, [("dwi_file", "in_file")]),
-            (
-                inputnode,
-                acqp,
-                [("dwi_file", "in_file"), ("dwi_meta", "metadata")],
-            ),
-            (dwi_prep_wf, ecc, [("dwi_prep_outputnode.out_file", "in_file")]),
-            (
-                inputnode,
-                ecc,
-                [("bval_file", "in_bval"), ("bvec_file", "in_bvec")],
-            ),
-            (bet_dwi0, ecc, [("mask_file", "in_mask")]),
-            (gen_idx, ecc, [("out_file", "in_index")]),
-            (ecc, denoise_eddy, [("out_corrected", "in_file")]),
-            (ecc, fslroi, [("out_corrected", "in_file")]),
-            (fslroi, b0mask_node, [("roi_file", "b0_file")]),
-            (
-                ecc,
-                eddy_quad,
-                [
-                    (("out_corrected", get_path), "base_name"),
-                    (("out_corrected", get_qc_path), "output_dir"),
-                ],
-            ),
-            (inputnode, eddy_quad, [("bval_file", "bval_file")]),
-            (ecc, eddy_quad, [("out_rotated_bvecs", "bvec_file")]),
-            (b0mask_node, eddy_quad, [("mask_file", "mask_file")]),
-            (gen_idx, eddy_quad, [("out_file", "idx_file")]),
-            (ecc, outputnode, [("out_corrected", "out_file")]),
-            (b0mask_node, outputnode, [("mask_file", "out_mask")]),
-            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
-            (bet_dwi0, sdc_wf, [("out_file", "inputnode.b0_stripped")]),
-            (sdc_wf, eddy_quad, [("outputnode.out_fmap", "field")]),
-            (
-                ecc,
-                dtifit,
-                [("out_corrected", "dwi"), ("out_rotated_bvecs", "bvecs")],
-            ),
-            (b0mask_node, dtifit, [("mask_file", "mask")]),
-            (inputnode, dtifit, [("bval_file", "bvals")]),
-        ]
-    )
-
-    return dwi_wf
diff --git a/dmripreproc/workflows/dwi/dwiprep.py b/dmripreproc/workflows/dwi/dwiprep.py
deleted file mode 100644
index fdee55da..00000000
--- a/dmripreproc/workflows/dwi/dwiprep.py
+++ /dev/null
@@ -1,73 +0,0 @@
-#!/usr/bin/env python
-
-
-def init_dwiprep_wf(ignore_nodes):
-    from ...interfaces import mrtrix3
-    from nipype.pipeline import engine as pe
-    from nipype.interfaces import utility as niu
-
-    # Generate the prep workflow for dwi (denoise, unring, resize)
-
-    dwi_prep_wf = pe.Workflow(name="dwi_prep_wf")
-
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-
-    resample = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="resample")
-
-    dwi_prep_inputnode = pe.Node(
-        niu.IdentityInterface(fields=["dwi_file"]), name="dwi_prep_inputnode"
-    )
-
-    dwi_prep_outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]), name="dwi_prep_outputnode"
-    )
-
-    # Turn the click tuple into a list
-    ignore_nodes_list = list(ignore_nodes)
-
-    prep_full = ["denoise", "unring", "resample"]
-
-    prep_wanted_str = [
-        node for node in prep_full if not (node in ignore_nodes_list)
-    ]
-
-    # Translate string input to node names
-    str2node = {"denoise": denoise, "unring": unring, "resample": resample}
-
-    prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
-
-    # If no steps selected, just connect input to output
-    if not (prep_wanted):
-        dwi_prep_wf.connect(
-            [
-                (
-                    dwi_prep_inputnode,
-                    dwi_prep_outputnode,
-                    [("dwi_file", "out_file")],
-                )
-            ]
-        )
-
-    # If there are steps
-    else:
-        # Must at least connect input node to first node
-        first_node = prep_wanted[0]
-        dwi_prep_wf.connect(
-            [(dwi_prep_inputnode, first_node, [("dwi_file", "in_file")])]
-        )
-        # Loop through the prep order
-        # Note: only works if each node has in_file and out_file
-        # Can work around this by wrapping in node/workflow with in_file+out_file
-        prev = first_node
-        for curr_node in prep_wanted[1:]:
-            dwi_prep_wf.connect([(prev, curr_node, [("out_file", "in_file")])])
-            prev = curr_node
-        # Connect last node to output node
-        last_node = prep_wanted[-1]
-        dwi_prep_wf.connect(
-            [(last_node, dwi_prep_outputnode, [("out_file", "out_file")])]
-        )
-
-    return dwi_prep_wf
diff --git a/docs/Makefile b/docs/Makefile
index de207f3c..9b90b864 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -4,7 +4,7 @@
 # You can set these variables from the command line.
 SPHINXOPTS    =
 SPHINXBUILD   = python -msphinx
-SPHINXPROJ    = dmripreproc
+SPHINXPROJ    = dmriprep
 SOURCEDIR     = .
 BUILDDIR      = _build
 
diff --git a/docs/conf.py b/docs/conf.py
index 153d0a24..8b3229f9 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 #
-# dmripreproc documentation build configuration file, created by
+# dmriprep documentation build configuration file, created by
 # sphinx-quickstart on Fri Jun  9 13:47:02 2017.
 #
 # This file is execfile()d with the current directory set to its
@@ -20,9 +20,10 @@
 #
 import os
 import sys
-sys.path.insert(0, os.path.abspath('..'))
 
-import dmripreproc
+sys.path.insert(0, os.path.abspath(".."))
+
+import dmriprep
 
 # -- General configuration ---------------------------------------------
 
@@ -32,33 +33,33 @@
 
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
-extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode']
+extensions = ["sphinx.ext.autodoc", "sphinx.ext.viewcode"]
 
 # Add any paths that contain templates here, relative to this directory.
-templates_path = ['_templates']
+templates_path = ["_templates"]
 
 # The suffix(es) of source filenames.
 # You can specify multiple suffix as a list of string:
 #
 # source_suffix = ['.rst', '.md']
-source_suffix = '.rst'
+source_suffix = ".rst"
 
 # The master toctree document.
-master_doc = 'index'
+master_doc = "index"
 
 # General information about the project.
-project = u'dmripreproc'
-copyright = u"2019, Michael Joseph"
-author = u"Michael Joseph"
+project = "dmriprep"
+copyright = "2018, Anisha Keshavan"
+author = "Anisha Keshavan"
 
 # The version info for the project you're documenting, acts as replacement
 # for |version| and |release|, also used in various other places throughout
 # the built documents.
 #
 # The short X.Y version.
-version = dmripreproc.__version__
+version = dmriprep.__version__
 # The full version, including alpha/beta/rc tags.
-release = dmripreproc.__version__
+release = dmriprep.__version__
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -70,10 +71,10 @@
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
 # This patterns also effect to html_static_path and html_extra_path
-exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
+exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
 
 # The name of the Pygments (syntax highlighting) style to use.
-pygments_style = 'sphinx'
+pygments_style = "sphinx"
 
 # If true, `todo` and `todoList` produce output, else they produce nothing.
 todo_include_todos = False
@@ -84,7 +85,7 @@
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 #
-html_theme = 'alabaster'
+html_theme = "alabaster"
 
 # Theme options are theme-specific and customize the look and feel of a
 # theme further.  For a list of options available for each theme, see the
@@ -101,7 +102,7 @@
 # -- Options for HTMLHelp output ---------------------------------------
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = 'dmripreprocdoc'
+htmlhelp_basename = "dmriprepdoc"
 
 
 # -- Options for LaTeX output ------------------------------------------
@@ -110,15 +111,12 @@
     # The paper size ('letterpaper' or 'a4paper').
     #
     # 'papersize': 'letterpaper',
-
     # The font size ('10pt', '11pt' or '12pt').
     #
     # 'pointsize': '10pt',
-
     # Additional stuff for the LaTeX preamble.
     #
     # 'preamble': '',
-
     # Latex figure (float) alignment
     #
     # 'figure_align': 'htbp',
@@ -128,9 +126,13 @@
 # (source start file, target name, title, author, documentclass
 # [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, 'dmripreproc.tex',
-     u'dmripreproc Documentation',
-     u'Michael Joseph', 'manual'),
+    (
+        master_doc,
+        "dmriprep.tex",
+        "dmriprep Documentation",
+        "Anisha Keshavan",
+        "manual",
+    )
 ]
 
 
@@ -138,11 +140,7 @@
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [
-    (master_doc, 'dmripreproc',
-     u'dmripreproc Documentation',
-     [author], 1)
-]
+man_pages = [(master_doc, "dmriprep", "dmriprep Documentation", [author], 1)]
 
 
 # -- Options for Texinfo output ----------------------------------------
@@ -151,10 +149,13 @@
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-    (master_doc, 'dmripreproc',
-     u'dmripreproc Documentation',
-     author,
-     'dmripreproc',
-     'One line description of project.',
-     'Miscellaneous'),
+    (
+        master_doc,
+        "dmriprep",
+        "dmriprep Documentation",
+        author,
+        "dmriprep",
+        "One line description of project.",
+        "Miscellaneous",
+    )
 ]
diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
new file mode 100644
index 00000000..a7517461
--- /dev/null
+++ b/docs/dmriprep.interfaces.rst
@@ -0,0 +1,30 @@
+dmriprep.interfaces package
+===========================
+
+Submodules
+----------
+
+dmriprep.interfaces.fmap module
+-------------------------------
+
+.. automodule:: dmriprep.interfaces.fmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.interfaces.mrtrix3 module
+----------------------------------
+
+.. automodule:: dmriprep.interfaces.mrtrix3
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.interfaces
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
new file mode 100644
index 00000000..e200e01e
--- /dev/null
+++ b/docs/dmriprep.rst
@@ -0,0 +1,39 @@
+dmriprep package
+================
+
+Subpackages
+-----------
+
+.. toctree::
+
+   dmriprep.interfaces
+   dmriprep.utils
+   dmriprep.workflows
+
+Submodules
+----------
+
+dmriprep.cli module
+-------------------
+
+.. automodule:: dmriprep.cli
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.qc module
+------------------
+
+.. automodule:: dmriprep.qc
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.utils.rst b/docs/dmriprep.utils.rst
new file mode 100644
index 00000000..d7abef5a
--- /dev/null
+++ b/docs/dmriprep.utils.rst
@@ -0,0 +1,30 @@
+dmriprep.utils package
+======================
+
+Submodules
+----------
+
+dmriprep.utils.bids module
+--------------------------
+
+.. automodule:: dmriprep.utils.bids
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.utils.hemisphere module
+--------------------------------
+
+.. automodule:: dmriprep.utils.hemisphere
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
new file mode 100644
index 00000000..dad5e173
--- /dev/null
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -0,0 +1,70 @@
+dmriprep.workflows.dwi package
+==============================
+
+Submodules
+----------
+
+dmriprep.workflows.dwi.base module
+----------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.denoise module
+-------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.denoise
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.outputs module
+-------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.outputs
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.remove\_artefacts module
+-----------------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.remove_artefacts
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.tbss module
+----------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.tbss
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.tensor module
+------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.tensor
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.unring module
+------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.unring
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.workflows.dwi
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
new file mode 100644
index 00000000..de3b9695
--- /dev/null
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -0,0 +1,46 @@
+dmriprep.workflows.fieldmap package
+===================================
+
+Submodules
+----------
+
+dmriprep.workflows.fieldmap.base module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.fieldmap.fmap module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.fmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.fieldmap.pepolar module
+------------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.pepolar
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.fieldmap.phasediff module
+--------------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.phasediff
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.workflows.fieldmap
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.rst b/docs/dmriprep.workflows.rst
new file mode 100644
index 00000000..8dc264ff
--- /dev/null
+++ b/docs/dmriprep.workflows.rst
@@ -0,0 +1,30 @@
+dmriprep.workflows package
+==========================
+
+Subpackages
+-----------
+
+.. toctree::
+
+   dmriprep.workflows.dwi
+   dmriprep.workflows.fieldmap
+
+Submodules
+----------
+
+dmriprep.workflows.base module
+------------------------------
+
+.. automodule:: dmriprep.workflows.base
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.workflows
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmripreproc.interfaces.rst b/docs/dmripreproc.interfaces.rst
deleted file mode 100644
index 8c3592bb..00000000
--- a/docs/dmripreproc.interfaces.rst
+++ /dev/null
@@ -1,38 +0,0 @@
-dmripreproc.interfaces package
-==============================
-
-Submodules
-----------
-
-dmripreproc.interfaces.fmap module
-----------------------------------
-
-.. automodule:: dmripreproc.interfaces.fmap
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.interfaces.fsl module
----------------------------------
-
-.. automodule:: dmripreproc.interfaces.fsl
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.interfaces.mrtrix3 module
--------------------------------------
-
-.. automodule:: dmripreproc.interfaces.mrtrix3
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.interfaces
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmripreproc.rst b/docs/dmripreproc.rst
deleted file mode 100644
index 383c9bd1..00000000
--- a/docs/dmripreproc.rst
+++ /dev/null
@@ -1,39 +0,0 @@
-dmripreproc package
-===================
-
-Subpackages
------------
-
-.. toctree::
-
-   dmripreproc.interfaces
-   dmripreproc.utils
-   dmripreproc.workflows
-
-Submodules
-----------
-
-dmripreproc.cli module
-----------------------
-
-.. automodule:: dmripreproc.cli
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.qc module
----------------------
-
-.. automodule:: dmripreproc.qc
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmripreproc.utils.rst b/docs/dmripreproc.utils.rst
deleted file mode 100644
index 334e1f24..00000000
--- a/docs/dmripreproc.utils.rst
+++ /dev/null
@@ -1,30 +0,0 @@
-dmripreproc.utils package
-=========================
-
-Submodules
-----------
-
-dmripreproc.utils.bids module
------------------------------
-
-.. automodule:: dmripreproc.utils.bids
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.utils.hemisphere module
------------------------------------
-
-.. automodule:: dmripreproc.utils.hemisphere
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.utils
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmripreproc.workflows.dwi.rst b/docs/dmripreproc.workflows.dwi.rst
deleted file mode 100644
index 7b01de76..00000000
--- a/docs/dmripreproc.workflows.dwi.rst
+++ /dev/null
@@ -1,46 +0,0 @@
-dmripreproc.workflows.dwi package
-=================================
-
-Submodules
-----------
-
-dmripreproc.workflows.dwi.base module
--------------------------------------
-
-.. automodule:: dmripreproc.workflows.dwi.base
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.dwi.dwiprep module
-----------------------------------------
-
-.. automodule:: dmripreproc.workflows.dwi.dwiprep
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.dwi.outputs module
-----------------------------------------
-
-.. automodule:: dmripreproc.workflows.dwi.outputs
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.dwi.tensor module
----------------------------------------
-
-.. automodule:: dmripreproc.workflows.dwi.tensor
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.workflows.dwi
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmripreproc.workflows.fieldmap.rst b/docs/dmripreproc.workflows.fieldmap.rst
deleted file mode 100644
index bd497c3c..00000000
--- a/docs/dmripreproc.workflows.fieldmap.rst
+++ /dev/null
@@ -1,46 +0,0 @@
-dmripreproc.workflows.fieldmap package
-======================================
-
-Submodules
-----------
-
-dmripreproc.workflows.fieldmap.base module
-------------------------------------------
-
-.. automodule:: dmripreproc.workflows.fieldmap.base
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.fieldmap.fmap module
-------------------------------------------
-
-.. automodule:: dmripreproc.workflows.fieldmap.fmap
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.fieldmap.pepolar module
----------------------------------------------
-
-.. automodule:: dmripreproc.workflows.fieldmap.pepolar
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmripreproc.workflows.fieldmap.phasediff module
------------------------------------------------
-
-.. automodule:: dmripreproc.workflows.fieldmap.phasediff
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.workflows.fieldmap
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmripreproc.workflows.rst b/docs/dmripreproc.workflows.rst
deleted file mode 100644
index 0ae1c325..00000000
--- a/docs/dmripreproc.workflows.rst
+++ /dev/null
@@ -1,30 +0,0 @@
-dmripreproc.workflows package
-=============================
-
-Subpackages
------------
-
-.. toctree::
-
-   dmripreproc.workflows.dwi
-   dmripreproc.workflows.fieldmap
-
-Submodules
-----------
-
-dmripreproc.workflows.base module
----------------------------------
-
-.. automodule:: dmripreproc.workflows.base
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmripreproc.workflows
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/img/dmriprep_icon.svg b/docs/img/dmriprep_icon.svg
index 68296c30..ce8ba162 100644
--- a/docs/img/dmriprep_icon.svg
+++ b/docs/img/dmriprep_icon.svg
@@ -1,9 +1,9 @@
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s2MInYWg+ROio3izgwA1GwBniABmgABD8QmGuDaPwyg16ZFAvgjgmlfmxQli55ljBZCLcncifmR3HSUQApB/kETV7QmkAzgLFWAHppPH7ZfXcHJk7iQBIxS1igOVsgA4lJO44JBFhJEJhiNhqmYJZ5mSjhK2biKWzFEAugAwYYOygzBEFoli/ZCtzZCrMwmiI3CVT/BDo9cyykJJBXkJ5XUDU/SIAXQAEE0AElUGjadkfptncPOWsFw5CWySaU9mgkwixVACLAyQVYkJGPCZkFQQXqWSlOIEfZ8xDZyBCrdpkf5jsDQz8OkYrgNICd2YsuyZ2okAveGQsmWnsa5UdFeVSUcgVAMAEVIAEacAA7cAQ2WgQWIJsAsKMDsG2VeAFAagH5yUMCRJg4xmRd4krBoyAlMDsuSpyRORDfMqXp2QXO0yn/ZHwXxiboSHYXmn9SMiGd6ImpiGpB84MfyouzwJ25QKKzMAsmGgsoqjTsNDZ05QTcWAEwKqMXUKM3agEeQAADwKODYgFAeqjq5ncrg390/wNWLKOkDEcQXNCaV/AtBDGlPwCZ4GKls0JRCvE7FYGUzKljBoFNi+JHTtZIKeNLZwqEMlkIb9qd3jkLx3CilVCTRLR2HWQpVyABEpACKaABGrADfnoEBRhwHTAAA0BcFmioQRqblxMz1yE5VoUQ0TkQVeAFJnAFBUEEQKAGmqoGt3KlmWYQRxKYqZpJXVqS2XI370WLmIVem0iE6kSd2AmIl/Cma8qdszANtSqnZLY0NuU8WtAtCOCrKbABCosBxHqjRbB42qZmxBWNSsdZQVKND1FNAyEEjqkGHqsGcpAIbcAwdoIdSjkjcLJDFvJTo7oQM3A3ppcrdJQx7UKEMP+3g3pwe/r6pv4KZHJaCRrVWI9ypd3SABOQAlNgo0pro/hYgIhjNOFTibEGZ+saEmCABuqzmiHbUVzQbhZrPyrEQXFIELWmJYySrsx5AzAbs/DaqDSraNLSS2bnB6KDe3G6Z8cwXbAAbn8lsKvCLd8iBGHwBVNQuIUbCIhbCGlAgENgqHu3cYjqRFMbAsmjElaABqQIUplACgT5CG3ABThyX8XXO4kVoVBSRKPyXp46czm0c7PmX/AyaqS2uq1XR8rmSweUQZNQe5cQp7zmDMALDL7wCsSrYkXyj9wIBGgACMw7CINgCM47CPUYCGlgrIfKcZVYBEcQpFQYazmgJRD/YxJW8I1hyFS2MFKea34m9KDRWbrcw3h4w0eRGFg4cK4ghoX4I6AAiiZeZQMcM3F8ayy0OygBR0zUhjVKE3G1R1275gvL8MAQ7Au04IjywgVRtQh28I2AsAmbYAge7MG1UAv1WL0YUMIYEKQXoL02ir3OOgQq1ys0MxJEEIqhMAq4oFe4wAqs0AcQeF3mWllhG8M85DmOILt8S2o8wxBeUiG+5EU6tL/6Vi8DCkP/6wngBgqze61uW2MhkE6buDJ1EHFXDAq0UMa+4MAQHMFl7IiP0Ad+8AaBAwicMMchXMchfAiEIAZHYMInfKhLWwTXewEuvHWaIsQh8QPqE4Y3/6xXw8AKUJXEB2FoHKRCXXI6HUDERTzGWGwsTpZYj+okyZdwLORV6wtcRoIiEWjFr4DFjkAGVWK/W1xjnjQsFyTGElfGtHDGELwN26DGa/wI4vkGpbAJc1zMdlwLrVCPeszHh6rCSgvI3DstAFXJDgHLEZE+dqDIjOxnrzC7CUHKBCMnygMn5RR0oCByoMDJVFUwBtJLw0ZXBbRS2CQDJVC/mOwInrDGjuAEAYACixNU90VMk4NBu4vOQpfPuYzGy8DLvbwMZyzBEwzMp8DBxUzHdvySJNzHQEqAzqy0HBeoaEIvbQZMj/MrWMIjCYEpgCOGwjBapDVdoLDP2GpCgf/JP42zNnlT0KRpBnYCK0tsypYkOXdDu8RjRsgDADvlyamszzbQz19KYUeHLViQN7VXCVeM0ArN0Lycxg49wZMw0ZsQwhVdx7MQCIrr0UHankdQvc9MAQInEJKcpPomMIasY1zmtofZtlvQBVLD0sMAvMH7CnXAJIkFxXb9cSQiplpwKBkEdbV3B2bQAWIUnYk4oH9Suov2sp/jw4Q0JDqF1O0Ks7hMC63MKS1DMeoiORlU1ehMvGb8wFod2xGsw7IgDHXMwRwsDJtQ1oWwA2wNzRZggARoPX3Y1h9ZMH9yVXX9IZX7lP4yizHSBbYzCpwQXc7ADYBdXQryYDGSIg7/FieI0tiOLXLBJtmgii3HMz9wYlNqu0sAk9y+0jg88j+UlbIck9AT7AZLvKGYN94iBwvE+wpZHduyTQzEgAvCEAx1DF0MLgvuFwe+zdFpjZ35yAbFDchbVL8yY1XYtHank9wnNGtj+w8vQAUaOQrCUAzd0A3Y7QzVRQYo0HdUZSVtMiw/93i+99h+gAWYdN7onZWs4iWRBTCD1SUmpVwQMzMfwin4nMsO3c1LUwWSTaGfpnkLzMACvsu83A5c3g7qsA3ZkA3cMAzEoAy4EAwKHsIpXgyy4OCYAIh7aIDNDIx6UOd7iKMqZCQlANqVRc9z7amyGBE/4LF8gOLksOLd/wC8e+sGNagQGbNeocbaQKuGD+TjCSEDrEJbRhoph0Yqlj16dZIlPMJw46RL+ezAwwvlZnBh7eKCtKdrDKzLC73l7cAO7EAPXc4N3CAO4vANzYDmdfxj/4p4iYcyQdPCrg4Hice4lMxBe57UkwzXLtRFZgQRP0AEMywKuHDoK47dwPAKpW2Hrf7qki6eAmvXExrFhNU12vUmZYOcjSItPJfc943Gqf5Xy1kQoOIukQ7rvAbbDF3r9zDw9FDwts7r3/ANaK7gKT7sPFht6lSdZ2c9B4iAsyag9JzUVRa+PqKlCPEt2Y7g5DDy5KDooMAzbYstyxl4oiNycWqipjXpjf912GhbJBrLIptObdOUrTeDK1vgQNpT3xPiCLSQ5Q88vEuTS5dFQf3937sGDAC/DQJfD/Uw8Fa/DlhPDgn/DWsuC7FwCZWQh/qCdp1WS7l1nUEzpETK3lsDkWOLSIbtLYMehtBVDCRPYOAuLzcw5cpDW9yTA++WZyYaZLFAXUB7BpWuKSMOObQ1VRPjAQuAA9v6seGyBXJ0A8/OlC+Cz0b/wKtcB1hmIF00KFx8QI5NXf8+61LPDlRP9fmQD/dA9Vi/DiQvYLJwe6vIWqlCTOQiJXGViTyERpiPEWSEEC/gopiryMLwDSP/169AcfpdIpqjIODHQYEyA0BHXXqGt8D/UPi3uuM0v/jsLs6NWgAPOfl0MAeVLyc4sKMAoPlawDGg0PnDS0WKojnWjC7pomY9RLf/DRDAfC1btm2bunb36i3M11DhwnURu3U7FivWJThLnmBxooVMmSpVbox0QoaMExsy/q1k2dLlDCxmqthwWdOmzZIoS9iUYSLIGjyjhAoT9o0cuWG+Xk2qI9PkyRv/YGIBiZLlDD+gYAE71tWrM2CxKlW682SlE7ROot5k29btW7hx5c6lW9fuXbx59e5lWaUMSJosCxRYecOLHDtyFHlxwiVklRIAJJe4EbKjmzqTXg105mzZK1B13JTR4iTk2pUePAwmQCDHEz9+JsGC/+VrYMGDCR/ec7gQ4jqKFSvBOfNkxg0baE2arpI2bWC4lf9C1/vcJggTUdbY+VOqFK6i38QNcwYLlB+ny9dWbo42cA4/W511ndgVLKyxd86EOIsWNV8AAxRwQAILNPDAt0qC6ibDFnFwEZBCssGGyCQDoAQZkisDszq06qyzV5aqA6Qb0qpptcFyOCM2UEK0jSCDEKLnHhprfOg3isS6Az0sZjiuuaecm9C5uJI7ibqaknMCrhJseMylBTyAIgovHDzlSqK++YY8YGCZJD33WBrSxH9yuEO+idLsrMv8zshBzAmj44ILGVRC8E4889RzTz2VM82mEGYwow4/6mhKQv8KLVRUBr/McHQ2YD4EBjSmQvIIrZoGo0CHFTukhZYXcVNHHXpmvKdUGn2rRyJnKjmDKqhuOE7BIEeqLCckb5IB17YUtMqtEvwCqaUCKMgBJkLvqOQUXJpxlrzyQvvrpF9ZUq6KEApYohJYnOEmzW64WRM/ss7QwYO6hJ2JT3bbdfddeMVMqwqbPHgiiT7yNbQqCitUFISpsMCiDvk+DFHaMpbL9Z8CPHhtUEc8+fS2GElF1UZVJQKmEgICuNSGDkAo8SlqffSxvYVxCpNBX6tt6zRiG8Zhzj6UZdZZ8cQB6xXR3KA2zpXGrGIGMyuJFNxuxsXvDv3erMsLqL3QIqX/eKu2+mqs6Xqypk2XOCPfPnr+2QYQQFB0AIeNu6HDSDtbxpdPHXnE5yNvcpgqNxyJGFQYD7LY1N0e0niSDjw+MiUnE6ZW1hyOPW4uMpNULkiRWsqQLhloXrbZZrQcbxjQRCPNObRmmjAkM+JzBulxKzmvqR7tMuEK2r2oggsc/st6d957b1f3lXLQYYgh2LjDUL3d8Nm9G8q2cIBicwjBBjdAaduzt2nx5BFHfAbaplnJyFtiiv2+uJ6G8qlxVeCA8aPwS1HKUFiUbLihcR2cpuv7lpQk+SOY9WdJc9nCnPxws85paUtKYQpISjMvkXQABX6pXrfAJS42VUI0dStT/+NmIJcf/OAKXijDnOzkOxSmUIV4ysEQilAE4xVKb91bnkhCYDbJQI8CHuhY9a5HEF+oghbJ4+BNjDS+T/VtVBdLn/pqpDE/BMBw9bNfFWQyExTcbwn5C5D//leGK45pOXOxwZzqwArOKXCBobviU/5iBiyEIAQDq8MruJImcZUHP4U6nFRysIQl5AB4NkFACEdoBi5sYYWLZGQj8+KB4RHPeDtCHg1BgoOyYUgGHSDAYArnww8BURWqUIQiEuGGLZzQJlUQn97Ip0SL8SZ9NDIVcLgBizpIUUk36ECgpnIcHzXuNQLDgl6U9BiS/UVx/xtgXHzEhTOeAmeeGwbolv9iBumM5i8Ca9yKNHO0ibRuRzKZ0Omw8IQnHIs/bqECFURoOzo5Up7zpKdLVLMpScKBaYWqgyPa0IY54VBJNhhAQaVYx0iJiyDEUEUoQmFKVCqyXjmgiisn1reDzGiWNqIRO8QFC0fociQhUI0HfEm0xqkGJoMqjv7cQpiWzMtHWNCCR/6nPJ+RyCXNzNTD/MCKU1RTHEMd6s6+1AEKjmZOSdDBEvTJLXAqrRKxKQ5MHlMFYuYAXW55QRe82gUnqPIfqqlnWc3KOw9QYFNNPQMb9ElJQ9WhD1yokJGcUKEAoKAORvsQM5ZBDFs41A6K8CfuXKKpHJghb3vjG24yKkv/jnbUo854RUjzegOSprUABJAj/rQaqEFRNZBbZUuxSKskLWChcRux6VOUZ8nYCdBlKxmMDp6wIq0klBu7xaCXsFmFuG7zCW6Fw1gKJtVJ+OEMZwjkRqZFBqzmgAJv0YJXa4qkYk33rNvlbrtWo1aHAXK5+4zNg7xwgwsp6a4W6oAZPNQZvwLWoaFYhCJGU8yYFYCiSGysQQzSDo2qr1QDpkc7dqsUN0ixAzO4JwU229knaORYVjSUH/TDXOOwJa2kLQkYl/thM9zUEXGFIzGB9LPDbuq2HZIPb3fbGfM0JTblrdIb4HCJS8RiK9frEn6YUofibHEjIX6KarXbli0k/zmVmdrqDcTaXShHOUCDKekfx8u0O7zhFN5ZhBdkgCGUYLY1HUAqi4FxZl8QAxe4mO9DEwFHBpFhb7dxbDt0QyN4wGPAds5GNpjxCk+4gcwhSGlJQ9ABWaHzCY5yVIWxvKPiGAcEYrpf41iChRXdAQ5w0IM+0bNMQsXGUcp8LhkeSB1Co3NQLfKFt/r84vuAYhJYfoOD7HAKTFjkzGvqsY9Fd04hb4SVy1lnSxZQEyUvmWWzlXKznX0X1ax2uUnQ9BtKIZQ/KCKsXy4B9FgzABlsIW8tos0w1sxmwXYZvzah3isduw07syPPeY5HvUfVZ2Yo5RFlaI0wPxuCkYREYP+DInHqlJUf5bY0B+1xAjHXcttN4xjHmz6DGRRXByxX/C84NUlNHwOdlVo8YpvBzavzmMFNv+EPDi2FLOwjKViARtZ8tAHRAOm4YZ/ksNmF6T80VAaJCqbnRHp20Y0ul+xSFIxJSILKN8GJUZRiEWT4cg6LtdkBSAYFTnDDbGDBrHPP1w6LoJcR3SAxjG6DG+xg+7zhUe94aMMg2dNbFTr5Rw8GnNFgDG2hwIjxseRHP4DciBvLgIWRzGC4nJb4JTq9XEafgeIaf63y3BjG01nxL3N+N6x7XAnHq9yhuBjGV2As61CPyAYoIPQWj0USahFLreBdZ+KGJZgdWks9R+f/fe9TrFalm2FKTt9EKf5A9qoDwNsFyLpkpFgFP3ArqOdG92DLjpOz882/3GgH29nRDnrXGxvY0AYxGKqKU1YBek0N5Az8Emr09N1QjrJw4Mmi3HRSdNgREsk5Ja8HPZC4yfswNijA4qCKDaEhulEm90ALZZIzd9MGCdQZqRoO0QsF0vuQD4kxzLC4+mEcdRKZj2uJ2TOW10sOKzIDL7Ank5KtQfI9GIyytLIAGtQBLigDL9COP9jBP3iDN4CCJ8CBEqiQgioo9iIA2JiNoBoGosCFUQgFO+iCm1CyR/CEzfArteM+trMz8BO/8VMGWwjDTjAlgloA4QmkyiCUSSAL//2YsbhKlk3zNOXqkR95DCyww+UirjgcvALswyEgvCHbEJyyvOVwDteyqIHQhpzhEtoYC32qtUVgBVZotc7oii5poDJwjtM4DiejDJQqtuzKH4GxjMbAwRWEktX4hxJhthhsRe4qFhq8AAvQgSTAwSuwAzzAgx4kjkASpERRFKvTFtnILWcohiYshShkiR1auKdog0d4hBZhBm/ZrS20s1GJh/HDhmRIBl3QBVLoBMXQgoI6wyd4P/vDsth4QwvbtH0akSpAARRANJM5mRSMMPFaLnRaAhgqwBcaAh2wrUB8re75H4JcLPIhBgUaj/sgF7iaM2msxEsckfpxgr9ojv+UqBOQKSnSSjqBqUi/mBMvuAKbWIAjc0WTlDJYtABZHIIkwAIvWAOg0MU3WK6bm4F+8Zdg5JTMoA2uYEJcKIVQSISVIEmHGTY3SASklMRWc7Hva4dR0YZs3EZdyASqJIVwLAEQ+CN0ionoCzx23BF+SpYr8zudwMqyEZnKiAl0Ep788Td9LII0SIMjeKEiIB6N6EhDIcSaeorSMAmDBBWEpKb7QLhK8gRVSDNiqKZhkAVYQI+ym6CYMB14hEeSUiuY6iTgWzRGcxSQFMmaIMqTDM0oS8lZbMko0A6YhMnThILlQjxN4rYcujvFcgStiAVgGIZmWDOpS4IFMMMcmBn/J/AqRZCDTohEViAPFxsqCYxKbtwFqqRKOegCLZCBmVG0TPPKPQTLuPqwFSHL+ikbW8Gqc8o/1WiYtXKhF4pL9ezHuzSD7nwVgRvFtNiCNnCERBglW1AGZRCPYViGwby/fkoERcDP/HQWXLiSOuACl3A4MuslORoMCNXIf7zHD0uCM/ACEwAfDxJNDqWnwcC92XOYHIACKZACmNTF4/ODucIk9qgCGXgeRGOlruMWWcDN3CyFU2C6JJgTHMidkKSCOZgDh7IF5OStofoG5tSFXfiET6BKOohOLSigpbqyOOS07CwUi3MU7qy4sREa1dKBHSrP7CIeuoTLNCgEQiiE/zSoS43IR5r0t61EDipUhU4IQ/0kBoJYhnxjyEKpr074U1vQhW1MhjCEkEkbq6uYgcwS083qpIYR0aYinuI5gwtDJyhYpa3pUE1doewirbSyTLVqgiYoUaCwg7FTUdxBtMi0AUVpEiORq2Wx0dzEBDhogiSQiR6dgdlRAzqgAztwqGrSwGEQByTVxuZkUiblAzqYAyrogiTjAvek1DgEQGrdQ8hTJjPIR+c6HP/Bqk8twTHtRxc6AjQlhDRd0z+MMEkdAvD6x3SSoHDbAkeg027UzzwFIobsAz9YhD8lBVLoRoDVhTEkAwBgmNxjiW+1TDkKAczclD9aAvQsQOJgLv9LqwkFqZxNzVjfedSWaDC1okELkIKf2I6xkysuMBmqEAkQaD4MmRAtKAMLuxJnaYbFDD2oqQJM2tVe5YPRC9bOqKZi5UaqRFZBUFZm/aougBrW7MM+BMAqhTxGOye2FDYqUi8Gy64QhaRI8kcXKldzjUtxpUtZnL1/zAEQ2JXqUoROIIVM6EZisA3EBCpy0Vd+9de2DVhvVAQtKFiG+T3wMimG1ZS1iqQX6kPm2qJjs9i0eEGNbVwE4am2KLSPtQAN0AAJCALMVU0SmhMPukNZYViWTQ4tCK1YpdlhuIhLqDWowSQboAJeXdbRaxafHQZi0M9Afc5PKNpenQM1aKf/dqKdKIACftzHTqvSiW1N1ZIuE/QRXmrZCemlGbQAfzwW/PnH4YFLczVXMQDbMn2hsaWA3kyCHg3OLpCDOXhOWzjMNDu3U6ANWZuEuqVKvM2EMZTCm0g6ilJUFJk96V1XSTpcME1cxVULxy3gPImcm0Cpc5nBA7gAy62ACsDc4L3DxkCn/EEOzEKRrAOzv5ONJSw9i8CETfiDERJCGeiC1yWF2JXdUDI/W1hbquQDZe3VZVUDNQjSObiC4B3XIzgCNiheK2VHfEwnMP1bwAWBIUziEugAD3ChdD2NytSB9PRaQtjeNX2hHu7HAO7NmSmDLgBSGv5GVngFNBIKHB1j/0qpW38F2FsQBYfqstJSq3IMCa0qQQpQyQuwS0Da4yLuuZoYCQMO5AOpjDHiiZqLsH9UqwNoYMt9gAZ4gCigRUzKojP0RdbTrOZjlM30g1folvk4BlnYhE3AAzS4AhN4gRdwXTrgWYcahXPz2fh6YbZd5RmmYVumA5iUgibYgR4+gjT4YWoFYjZgrkS2Y9UIASOcjCZpobocgoqbCU6CJBeKSyq24l7O4mZexpgIyTmgAxu+4U4YY1a4NqgrBTQGBVBghX5dY10QOzhmix2iKehiMPCaXFl0V0TuY0HeZ3a5FciFk4bLZx3ozQOwgAiQAARoAAQwAd5c2V5CKSwoJ/+SGowiVFWBgQ1uoQ1ZEIan4wQ8EAIiCKEfsOFVFgWheGVocQbboNO1vWWXpuE1+AIp2IEdwIBrZlqcllQ7/tsbSuYmaTiILR5I65HKRE9qzt40VVP15N4SPU2ooR074AM1CCE1kANVCJEti7pTQGPQYAWWXlt/7YQ3hhC38IAZKJ3kLanJ3aFgEh7w8uOX4Ge5zpPXaA6sQmQd7c0FKAAT6Ou+LhtvM6lZeY6VXb5AkRWiodSxOIWO1oQ8AAMwEAErIAIisAJBuGwzXjOfBQulYGlSoOFvfmlc/oIp+IAPwACb7mW6ZFpJpUG9XoCylR7AHgAQOCb/kzx9cpPvogD/o04DpP5tQlBPUl0D2rkCxJBhNLDhObBqKwSqMw6RgwGFUfLsP1WERUiETHyLGLVDRWWY3mTBv2WLUXQJl5pr88YLraQKOELkJdDR5mvQwlE+HTIpFPAfnVA+TTGpXmoYWkwCOPiDUdAEAc8DJShwJLACK0CCy86DUeCETchADRQIMu7XTOjV0H7pmC7tDxiBEUBt1J7LfizTC5BFvZ5QDzpLkZkcK5LWTmOD0SrBaQbu3y6EQpiCL1iD5F5WGeYDPJDqG1YMT/AEdJZE6JY5dDZMOv3GMXSDREqZPwYSLbg+uwGvl5GJlgiBsj1vLa8LctRMe4SCKYkCE0CBHKLt/+YDAALYsEOz70TRoR1qDUcF3ySAglwUcEsgcAiAACTYcwUXBAYfhQeHFsWUcK8G6zmwA+UO0lu2A9LegBHY8A73cAwQV/QcccqNAEyHgrZUJ+a1DJIxA01zWoW7Jyn2ZRn/7UAABEDYcVbv8dclTlUIcnRuEeiedVAI8iT/RsJaHrkYGUwpa9K6iUwdK2E61C3X8gxx8jJhP0Vr7yEQWcw15RzqzWReMA86tFVUi5XtpJKC0N4sAEwPAjTIA02wBHNXgjzn8z7ng8wmvWpy95UeJXA0VVOVA/O1Ze6Qgilw9A2XdAy4gGYmHpClQcuVYChguigxa/e7KuUA9SC+sP8eUV4sjstTN9dUB4QeZ3WNX9Y/HaVZL3Jbx3Ww7nikJIMnvwnrEJMnK5KWSHMPepxjP++Ut4nGAcR7aYJnDwIhEAJT7oABSHjmkwwUVK1jRg4bmOgHy6zBWIABIAATuNxxN/dzR3cF2HPLlmE3dmXqO7e3DSJSsu4HKSU5oGE+6EEp6GF///cRt8siBt8FOGidF4IgMAEQ6M1lZCX/YA8P28N0XG8dwOML6OEzrfhBwHhWRwM0YPVeVXJVYAVbf/xbN0ywZnxFKAOXUK8iEbgcgOu5gFA5siopj3lB9pWUIbSH3WNRLQLM3fm5R2aSdLAN3hXoUl4P6IDVq8wCWNj/e/IApu9rBBACMMgDqbeEAoeAqj/wVW6zrV+zZsBTuBmiESuUPuCee+fxN9ADmj6CtLf02J693oyAuJd7Eyio12dG/zgZD5O8dhSdJ/h7S7eAIvBlKkbqwu/xXFR8GaaDquyExof8kAcIVao6kSqoS1cnRYv+MWRowwkZJw0nUnRYxcyTHBQKVOxYsQAFDwUIdLiBxUyVGx5Xsmzp8iXMmDJn0qxp86ZNJzoldgyR4+eSoDqGNGlSREoQIUKCRAgxYEGBkQMAAJChs4rGkDds2AjhYWOBEF4LeFiwAESIKEnz5LHk1pISCHIVWFHDJxRevLj28sWljNgyX7RoeZo0/6kP4kePFtmxg+fPm6I7MFCufOGCBQs6fnIuuyCChKRLEZgw4cFDDixVdt5oXeXimdh+/NSp48YMRh2ZLVAYWiRNmkKEhhMnNAgQHj548DS2M+c5HToFO3VSxQoU9uzZPXEXSJ1Upkyd7HihaNWJDZg2qmDBotFDTZAexN5gr1olzvz69/Pv7/+/Tel5xFkOQQ1xIFFDSIFUEFFEUMAAEUZIFQAlyGDDDV9RkMNqTtwQQlRkiUTWWTjkoBYagGiiyVtxQSCCCELwcRdeo/A1zDC42EIMj4H58soroBjWh2GTLPLGH38sWFQTlzn5JG/zzTADFjPgAIIHEQSxpQQIeP9pAhZccHHhQ068Zt9JZ5hRBpu4PfGEDhRs+MQZbLABHHCFCDdcIIAgx0djiywiB6GFUlcdK4sYph0o3Dkq0EDgZUIKeRXJIANFD3n0UBVTwmcTalS+hkVrAJp6KqqpqrrqREAt8YSBRciK4IILgjUhhbkOANKGVURkQwcERHXaSCGAgEMSS0SxxhoqrqhJHnHBOIEQduQ1io24DOOMM8v0uIyPQGJXJHaVvPHGgmcsceCT7fJWQAcPaWEmDl5REAFoDzTwgxdabLFFCRU+RMZrU1bBZkToYQHrZh5Q6UYdd8SRxhEV46lnn8gFWsciiXisCMiKJCKQkJMw6ijK3XX/kgkddlxhgks37LSpgPq1Z0aVHbC6M889+9yzq0HFKivRRB+4EQFT5UrhrmRxmPCHp8k5Ugc+6aBWs86uGK0SIkxQwRrWhoLtjdwyAy7agQEprnaVwAFHUUvoEOduu12WGQUhyAxRRDdcaVa++1LRhRYyBFwVRB6CAEKZ6KFQdQ6b5aB3GRDfoUfFFRfBxg47FJLxY4v40YdiirXRRuncMbpdyo4qQgodfKjxsktVaBHRqmdi8TPvvfv+u0yoFSi03AcWLcUUtUoxBAUL4Lp0hASEMMPeHs6Qg4YQVh2BWkGkmMez0ILh9QRBhD022Xs1M0zaaPvy49prl3sH3MlG/y6nnHXPrcMTWCBMRsKq8LcCmMBLV6DC4F4QAKqUQCc2KAEISlACrtjgcdLjDPUOZjk2FEFzskqD5wIRB0CU4g+i64OYTne60j3CE/ELkskalTLvwE52V9BZS+qDnlXVpwqZ2iHwgijEIaZKeMSTG906eIQp8IAHX/jC8poAFZIoDXpTkaBV2JMROZ0lBPiSgBDCAAa2PIstYJgAGoFgrfTxRRluBEza3jeYV7xPXJOYjbqEgj2R4E9OqcFNberwv4jIAAQDCFZprnCFH/wAAQKgkAQlCEkICoss0+vhRcwQG1ldpghD+E1wAhEITGDiFG8wg5jOxCY3OKKVnqBFHf9f4QlHLEqGnqAhy2xYM5aUymdkmcFOdknEYRKzmC8BydyOuEcLKJGJNKABFIvQhCSAhQBJW9rSJniRLTZvAF6UQAVOcIIxgu9ZeEADGoQABLuwkS/JSMZf2uej94ELfpOoDc7etISfhKCSIZmBr8hQG9qsqQwAjMjhBgCCGRSwAQ1wJDaxuSs5eSBenHITnIZwt7l9Mjh6usQlKnEHlIxqla1s5WB8ERjC0FI7t4xUeGI3ByoIk4ggSY2vHGjMnfKUp7zqzf7mloN/gOQCFWMiD06QAilIcwi8Ccl8DBlRgbHJPSKJUAe+eAIhgGGMmqDEJ0QhirzMIROiyFZfbgH/z3jKU572dATBZgCrHMygAyXwCmqwAEA3QAyf7enQAym0uIY+9JESrSKWTlPRCTqhDG66H94ctoTffBSkIrUNK+twUkdwJ6X1HIwnTnbL7+SSDlR4wU6/gtNg1rSnrn1tz0BStwPt71MUuEAHp5CC3S4IQb6dmwdAQJUBJE1pDSRDGTpVXAAMwASgqYBSwCCIT3xiF7e4hS1YEQrwiKIvuLjuLd5IDHq2NY5BcoQbbnC9zYSgA4+73kn4Kt86YOQnM+CK4ZirUBAIQABe6q8VrdkBMi3sCTNAAWMd254ZSC0kYsnBEO4UB8tWYhKudOErBqNh8n6WFvHLDisG0olQ/8yIDmqggjE7cL3+7aTFKYEtjGOMKtlaAEpP/ZQHanwBDfCYxxGQk/FmNQQdGLIDIbrmcX9VRQAIC19JsYsowLsjYtjCFtdN6y108Rc4vk+l4NoGmLfRPsGgtyuRm5xFTWKGQGK2DO7ZSAgkKSGlBSAA/a0z9IYFTIgouAoPXI9jX3ODqnmlnwQoUIT1AIdKVAI7GoZllzkcR8F8WDvaDYUo+GDiHxjTJH+loE4AmFwfyrjUpr7JVzLjrndNhAK7mVpUgPxJo+lgPgTI3hUH5gQZQA9wUbiCGialZbYSQxnvbAZfsqxlwDCDGRwOc5jbRxg32ECu+7wvVw625tnYhv8MWrjeRqrozQ4searMvekTAsqm5FLwNclFzwRbQ25vFugO9jZZhiFd3jF3+YWMWgSJo6MGThOTU6MGtagDjalTM7zhLdFQ3V7NEYpwcQEMaZqrgzwrWyv2moiDd68XcKIryKETtlCGNrSxjWxsQxvYcKMymtEMY8OT2c1OG7ShnTaWOgELsUk3qB3L5l+pF3tVLMkNDmfu4fokB/1j02tYe6bVtFveAOiAz2djskd7eRliLm+k4Vdp7DBGdmogAsGJaHCDoocrV5n6DRbu8LnT/R8Qx9tGYvJTC2iceSHygMcr1JobCJdpT1mADqDgBUWoghgpV3k2WP74lPNIvG3/3QY3Ms+NnKONpcjFp59RAOg143PX2iRV4QFQJhvoas5VLIGn39S/rWT7TG6fuu0leJHaTOKVnv1yzr9eTzl6+IVsY8zZiYD2Ya7nYACc105S0hocyAAHZ8JP3bNvag1RdCbcl/WsqukUcaOlvYaUkLB684Q6JEKl21AH/NUR/DB/S56Y17zmdb4MlvK1lW4gQwWtB24MYBXwmuoljgEeF8jpV/k5BSTphJvN1YFlG0m1m2MRYAA2Fiv5nr553fy5j2BomPHJD2P8QAM4wL6onbsZ1EEFEOEZ18Ekl/bNYKmFiE2ESKz5FkVF1ZIdkjWJBRBWktNxwSP4QuTFH/yF/xnLKeHZXB7+5V+07R8toBcroRcAukYMJlfSMVDiPJCFJI4TJBShtReuWAUAYcS1ud26+VntrRu7uR0ZuNLveeAHDt+jFZ/xJYrLmCAjqWAMtiAACZpUVcjU0aAhHuJK3BoFIMjcQFV74dfhBEtUWBMlFgBd4cAj0MIRwl88JGHkLeHKNWFbPSEUfh2ZtYF8IVeVAFSHOBAkrV5rNA56XMqgdcD5SQhjIRdGvElBIQz0yWKL7QQAoRQsoc38RaEdiuALscIplEIpNIYiMVLa7cyleIRr7NX/EYz0bcWlXMj1tRYihqP25U9QURT1OFDASOIkRo/0dEAAkAEtMEM2cP9iPNQj/IEimLmVl5EiFH7WI/zLQS3MT9AeBRkgVYAAFr4GqNleYDHNsdRHmwxgIGXjvJxJ24GambAgMRpj8GVePsbRHc7RKzBjKWBLKQiKHAxcA/xH43TEeYDjP9gAGciXFrZGMPLEP1jfa4gjTxqinCRTnITE0/wKCtgLnI3fIbmjDcTjPKpDPdpjEuofCL4PM+AfO1xlP5JZC1YBw9DVn3GF0jEXAVCJ/7Bh81VgWCoUWeJGRNYBbdTBQbUJG0ZS7RUUKxUjHUIb/glfMt7hSJYkJ4xCKVzHoJggS3ZhRYQaTlaETFbhbaAEIOJOQ1zEi/WkZdIdasjeFnnAE/T/YnvAiVBRT9UIWADYgCfIIz3WYzu0g/wh4/B1WVVm3lViJf45gy8kyiJ4AW4UGD91gG/6ZupJCJUgTNtlkmo05HAtFFn+1e65JX31Is7MgFhIz/RQiUROwisAgzNknjh0p3finz6GJJCcwilsgnmWwinooRoAwUr2R4s90ESAAN/AG0VsBURU4WbJVzYupn1cpn+eiqftzkSQSUPgABcIKE20x0m0xx6dxEDFhp0MwavcB4hIxRacJsu1Azxs6Iaupsp95GvS03Z2Qzesg4maKIl2Azc4wzA4owktQhLE6E/Mh1go1vgxYH0c1E4U2OxJkmBNDwZlEOn5QWyoSVVl/0UfZWZ7+MEkwIJ2ap53dic5qOiK8ptfAgksnIIsCAOXNmNJnhMQxIROrIQDYaSAhEVAQc31OJ3/yNdJOcpJ8dWvTMSU/Ked+od1kppDsMY/WKdq0IQT3M5BpcT0YMFA0Y+iwQEbxAZKMFiIdMCF+kLmaSiHcmg7IGPYqdSIluiJoiiJHsMwCAO2QMYdxGi94JWGnEbSLM7iyAwgRuCr0FUE5QpaKNZp0EcmFWlssAmc6NirbchPnEElxAIwHAOJmig5JGuykmiVTtqVwoKTAkMx4AgulOQonJM6vUSLdUQwMUQDBSoWfIXDCKoqZoTTnUFt9B9naRh3+N+c3im8/v/HcFbmP8ynSpBlGXDBTJxHC6KHeg0poibqHTDqm21GFSQCHW2nOLBDpW7oh05lly0Dt5DoObyDxV7sOZzDNBxDMQQDJ3ACHpzLGRhYrfZRSISFsaCFDm3lwkjODCyOrvgT0hxSfWgS/QxsPmmUjeGPDrDBJcSCsWbsiSrrlKpotzjro2GpkzoDqArDXmDLcqTTNHrEfHLruzIERLwZTiWcQC7BGczGW8ohu7orEMWr2e7HmUxES05mFWxBNb7Ehdykv8agW94Bo72NvQ3syCYTFIAMK+BIdzJswz5siHrZxHZDxV6sxWasxoKDMHzsJiRJFEABFuCAWeCPWWSu5uL/AA60Bxf8yxaYSGdMp+ul38xaVBWcQd4ObPHo2N08VY357DFMQ8YqLjgsa4pyC9IqI7TiSKg6LS4IZpKsQTppq04l5mJibaf8BHPqzrmC7Vv23qPNkhWWbS+dLfayRFRkCmN6hAyArtxR7fE2hAxA5LpBTJHMhr3FxhIUxRkMisk1QzEka8M6rPBFGtpwCzdQ7Du4gzu8wzlQ7DlUAzhEg8eCLB6sQRQ8QRJorlmAgANnbowmAedK0OKgqmJFhdJM1MyWgOg5gRn4gb3BTVHUzQGcMG/oLBvEAu2ag//+r8WmaO7q7msmLZaeQo70hTOeyx9ErUdsb0M0H0x4o328/wmpcEVrUMnXQm8MsessuQG77emYZi8VT4TUiMRNICaZJk5HvMaa3E4VFsYdifAd2ElR3MEiEIQtCIOy1u83qFyI5q/+UqwL+28AI645mEMB18ImfGwCrwEUxOgCbMRZLM4CfB/+lIW41ej3Qchw8Qrg2aIH20AZ1C0cfBLz5I+vztoFxMEsTEMdv/DFyrDR0vA82TAzele1nsIdIMlynFNHgMSAHoyetoQZRqB9JTFQxMbqMinr+B9KpMcHX20VY+9YHFlNnIdOhO8PTTFFsMcXzyRntatbivDbwMEbnEIodIIuJAMbk8M6uLE2QKwcO0OKnkMdmwPj5rE3gAM41P8CH28CcqyBFDgIvuBLaTjXPe/zPZvAnUmiyWrwcFVSVJBhVWxBG7glFNRKSLgajy2IrFRMIcxCNXiDPFy0PIgyAMswtxxtl4knK7CCM2aLM5InD0etEDxAReTdZN4HTPAZrMjNT/jG5tiJwNpthWEH9bqB9LkdGDJzMd8psTSEnu3NRPTQLpGJma4EVzDmevyVNE+zJygGYvSBvWVzKdhCN3/DNyRrOFcqV48zCKZNR+8vHudxHqOzOXiDNyADOLQCPPMxIDyRBNS1XeczP4OGXXvJl5gAAQwy3khFzFbSfERICfwLF5hB90SBZ/DYbk3BEXROcLQCMlg0Rl+0/y7/7gx7dB2BtJc6I2i7aJIMbxB4AcwQ9cRNJvZRxFXMQBDrhM/l0azlSRzUtqLlLaNVmP9pYSu6WFCf7VATdV51iEVEnYCYyU5KcfKyBGsYTOVc2FQrRpGQZynsRTJgA1eD8zoILjxw9Rvvm8Tq7/5mLFqjNVtLAzIgQyusdyvMQp+EwQlUgHxXQJd4iV3XNwI0gL44lEORRgEswKs5T0QRl4js16VsgRdcARAAAVMswAFoQAqcAA9MgUfpSStIQziEw2VnNAy/w2YP39r4JTOSJ4mP9CjIsx6cC7pQ7udSBBCvxHmwx09YBJ3YCQflCSHoSSHYNhzQD95aGHoVZ9QJ/3kt/7Z/aoiLz8ma8ASgRfE/ZJKemuFyW2PiDBpA4WfrhBYoiHR1NwM2YLc4nCh3e7dYl1dHn7Nal7c3SAObS0Mu5AJ7B8IgwLc4nQAaTcADPMCd4zl/93l//9gB1BhvLIC5mW4kSxAKvAAVSCMCRACEnwANNNEU6Ph6Y7iGb3hmv8M6kGhHgziQiGdu53YzQq4elLqpLypJEXX3MTVEoOFm9GkO1IkexMGdBEdx5PiOm3qpw4EfVK/oQXl6jF6RG7llvnhDZGb/6ClyV+bCVMlEzMxLVE9DcAHqOILHQAq2a5ctWPeXfwM7iPmGenf9tdUcI26am/eat7mbw3krGP8HnYvTnSdAApCPA9S7vfc5AkgAUxlFEWCGIw84SOCzP/eXoktjA8i3OD1TE4kSIbRCLlj6hnO4xW56N3S62sSPX4JCqFdCM544IJh6bcdBiuemF7i23e0gq8OqUEGYndQ2nhDCIcT8IRDHjvP4HfiBnP7ZcjbEshO7ZTozah+70xnYa3cKgwnP5LQEtFcEDlDEv6BOIijCoVQZ1VuZWikDNmjDwp5ouH+DOGgDHO3b/Z11eZu3uq87KrTCIAwCD7z7BMAIBCiAvM+9vNd7fzc6RBfNuwQe0wwyvvA14Of3CTrABNR5GBz+2jf8w2d4xGc6xVs8pb0QaGm5xjMaeSb/ybmUehzsABvoQZK4TMn/g+bOeEWwohYF1WThCZ6IAczLfMwPh57QOqr/n+OomH29dtn6PCJKu6q/eIGQPkUg8qeIr2Ta8tM7gtQTxEEs//KvldZzQ6d693cPX3nd37mX/VqrOzK8OSrUwtobQtvDuwjIRdwrgPmffwKgoCOZxgelgZBNTblFiN97iZ/TvwMkgAK8yAkc/uEbwiAABCFUuaSFCycPoTuFCt+9W9eNmzOJy5b5ovUKY0ZanjhyBAWqUsg3I9/A0aNnx440gADhsWMnSo4FMxdQ0JEjxz+dOnM88elTxxChQ4qkSSNGDCGlhA4dQvQUUdNDhAoVYjPk/4kZMmSc2LDRwUNYDzv/2SB7Fm1atWvZtnX7Fm5cuXPp1j1bZasTsgUohJ3x98mSm2PPeuBLgUIBAmydOOFqtm2XLooUdepEKlMmXZs5c1ambBg3bt26rSP3DfU3YsuY+XLti2LsZdtocztnDndu3d6k9Ub2OxeqWoOID+LBI8wJBgxYwFDwHLqCBA4QvHgBIkmTomyKFBGKWDEA8eIHDFjgIcIDB+vZs0/wXImSMIYGGbJfqxVBb/v3L1zokLSIJqrIl4wM7KgjkEKCA44m2HiQjZSk+IIlPNaQ4rsIIoBCB8Fy+ieHoIYiqrsijjAqKalUhCqLLKKaipA0jihCh/8nqmjMBhQ6OIwwu3z8EcgghRySSLLw4koGsjzoyYwmf8Kpx70KKMCtGxq7oS0TJJNDDswy06yzXcTczJZhhjnmGNK6OQ01ZVZrjRZaXJNtttrIAQdP3XDbrzdpgAsOlaaIIyQQ5IxoDgbnopOuAQFesAGH7LTr7ru+COhgPPLM80ACBxL4FNT3FEgUBhbyMAS/WlStJReCpOEvN4YaUlNAiZwBBldgYDEQFAQ9AWWSSu4YtgkHuStCuwm/+EIKKYrQQAMJJGh2CA+DKhHbI05ESiqovEVkjxbFbUoMbS+wQIcZvMoxhMOoLBLeeOWdl162qtCCK73IwsKMOvx18gn/KIeMkqwrruhCjjnoyOSThsfcTMyHQzlFllhiQbMbcVBLxk3WLIpTTtgook2ddsS5E8+G3NmTN9+QaRUVqGBUioZDDTBA0eioC6CELargIgnBgrIAMQ9CCKGDEpQGoLwBQAhBPVGjI9UAJkzFL79WW+2tmq6r0e2cc9QM0Nayb9UVo48+6siRSerw4w44IKRUqGanmOIIDDDQIIUTUkgBw2KvNVHbwrdt6ltv91h8DHGzQKpcvc/N4YYOOgCBAHfr3Zzzzj2H60auqjiL37f/xQKoD4H0ADG0fvhBDTXooKPh2nvZhTMxe/kks1IwiaOqi50ZpplkOF7NNZBBFplk/5PJeX6ddRpiuc8/TbkeleybIsQQm3FedDoEAJCBizLMwOKGGUJgPTECQgChBBRytNzppxuQWgEkkEiUCSaqjkQSrCLIb5DRJ691DTdhGxvZbIUmNN1qV2lbmyccUUFH1GFYD6JUXyhwAb1hICUY2EDf/OasYpHIcIXjllMWdz0XLg6GjRMXB0Ywgg9e4AJ9OdrR2Ge0z/0QiEGUlw0c44TR7eQGpfNXGcx3BicGLEiHWQBZfkAENVhBEFlsGCUo0Yvb3QKMu6idKEYBiC/grRCXkIWZPvMZ5H1MeczbhjrUIY6TkSN6DblNNVrmp988w4XZ094h7MMCQ0IAkdBJQP+jBoADLlQBkpU7Wg6MRoABlGBdNjhaeUDQAQR4Cjr7g0H/+scCSQSwT30yCG8OmJtpLJCBDnQgrjLykUlQ0IJueFvcjkU0xFwgJcEU4QmIeQITTiqFRxgBUpjylBa+EIaLcxwHaPhBDOCQaAUwWliKRjAhfhOc4WQLEUW3E0hWoUlNYmKT/OCHM2AhioiZ4k6IYAX9ZVEQlLDd7XaBi1GIAqCiwAMgwvCFDRyhEJiQBS6a4UZivFF5cZIjbex4suh1I2zT6Foqn9FRQGJPkIiojxGMoAQGiEAEoHIAI0GAA0iq72gzwAL6QAAATDamCjMwTHk8eT9RiZKULLBEAGv/oUqDHJU/+8FNNabRVLEt8BgSkaVEgJG2SUzCghXUJdzkRhQLfNUCOAzmDo7Ag2IacwhN2AHhDFdDZiIOXHuAyuK81SJq1tCGksMm0ZaEEx3ooC/eFOdgCRtEchpRJ5AsQyRvcM5+tbMO8NzJlOoiT7IQQX9IgMRm9dkwL+5iFKH9Jx/wEIYw0IAHB40DJoTB0I7JBo7LGxltaNMOdrADqhrtk0d5C8jsmeIphxiEaYs5gfU0AAEmWEBLb3CD9VEgB1gogxacUAKbkjOnhlnAADogAAQ0wFNIUAL/mBAJS6CKVb056nqR6o2ldm0a54jeQ9TUwAdSFSNXzaojtppB/xKdK6w4vEDhzEpMwKWVrCnEgFuVAtfEyewQSMGrNQW815v49a/gKeyGOey5w2LpHzI9Hxb+IuJ++asO53tu++jCl3n+4wf23OyMO/uJ22liFJzYBB4slBwaoJYHU4jDJoKBC1u8iRkUSV5EJ1pb244NTRqtRm9661EXujAqhUgDD35MzApIQEMUmAkPERPdfFkXAOTEQg7k+TQTmAABExCCCOJjSKESNRceTUc62LvnVb6XqfK9aH0bWDa06Ze/FvQXV48lYLBegHBTICHguqOtu+FNWwxucFMcN66pQM6aev0qNqu1BFMLDTzv6vCqWU0knIJYpj/5yRlOjOIz+P8kROAZgFy0GaV6CmLGnK3dJ8jICU6wZFl/O86yAUFkIxPjNa+JqERlQ1tutEM0tOrGMXRL5So/IxXhToUpAqUUMaxg2anVgBR8GZYpFSAEVnKCDMZDxCqsGTxP01AEgnCCMJD0UKdEVZ47umeDH5zP4XCvOZjqVFh2w2y2oiWwsJpoC14Vbscqwl7DWmkp/O1vzpKCpFOw7LtBLimbRvnKxSCjvFH4XIj56lCcaOq/GmZKgm31znn+luYqKQemduIZ2ukHFLez5oLpC2XdknO0/DqfXORiwzJT7GOb8W4b0DqznY0LYmRkydMWWWxqIxrROCPb3WhqNQjo0Wu8Hdz/4h53oCIsBmreFW/e8aViOoACpaFZPDa4t05zHgK/8s20NVOBCuxjiIF09O0IP/ifzdHUaaTp4RG/VYFeQfH9ZnUSvOwOWMFaomad3kQkL+Zx7lYVoxxlKSxHSuH06ujAUmAoD6r5YHTS657/HvhxmZJNlsAGOAzrDpDd5R3YcAZUJ0bVauHR07Mo9WHzLhOhyDEg6IO3D6RkA8ehASA4UWRcsIIVGJl2HOk0G7MLaDSkWTvb//iMt9///uEm91NalAG7lstZsIkCLClTMiV9ngCwwOpayGoKxM8+BuEpsgfyIk/y/EzhcKOpZAnzCM1sqkqCKs6CECRY5KY7KgyH/7BFKCrtCCTtrIAsEFxPW4wCBpPphkwwm/7B8DrkDIyv+Txksoom+IJQCM9i+DrE+I4P+dppWBgk6TIsLNjC91wHn66vYQCqFDaB+4zjCD7g+0ToOE6A/HDh2dLvFdZPouak2szOVtQkbLqGgJBhAvEv/8RtD2rADu2wBWbPXPgqBFCgAAHA8JYAhbSFcD4gD8WgOJ7ChVLB/vCvAhNu4TJQA8dG8ziv866qDrIKQRREDxqtwrDl9AqHBYvJtAAhDk4xDS7t9VKoO2qQaMAqMXZiBnziDIal5lRnsqJvCHdx53Au53SQQRgE+ZbQFt8pYCjpCeniB+ggixYmM6iOjP+wkDiCrHDCjwdADhBGAReOJ+yYLNraz/2kCqNuwxz24w15Sw7vzxVcgRHa8Q7tMAtoKG8uwAP6DgXuER/v0Qa0AAu4I4WOogVaIAtgaBHDLR3vT/Ioz/Iuz4FopRJrCRNRrA5uyRMuohIu4RLigDtM0PSUBdPu5m/8rRRPMQ6U5YyOIMGuCdJs0Jc0DIn4ZehuDSdkKqd40SaBD+cIwH1CpPiC0SeRMPlS7HxmgM1YTC6oQHZmRylnhw+2jzgwzdK4jAb8RgPeoBRu4XgIROzGDg3pRBzji2UM4g3hMA7xjx3bES0ZoQbGoHHksQhyYAZuIJMySQuqYAePYuWyYAz/oknuUuEg5RDhKA++JBFN1LADLZHiJNJfJiFOXgEWMDIOZCTURPELTIsaZ6RZKjMMWIIkWaKgnCUlbE/mYDHVzqIxzMcMnIjE/mKmqgDEbhI2O4x9+G6SevIkblMPflJu2EAwhsD2FgMuDIYPhlMN+IApByoLvS8lyorLiEkDigAOTsEWsrIitlLJvlE2pIrbvmY/DOIZXKb+GtEsV6ERyrMR0JItGwdykimZjIIpnEJx9iAt5e7toME+oeEgA/MCGW4wHUjzqMoDP7Doim4SMAIWYCEWMLIQXu6DCEwqqTElmmAIpGANWAIQTuIN/gAP0OBCLOAADiDm6rED1od9/wIrLRxjK5iIxNJnpszgiGITRgvLXQjgaWbxDBjkJEhSIyFkFUsE5i7gQz80wCrsQzNzWUwLSVnCPlgPJZdzFFNAA3ZAD05hG18rtpZH2tbPMWEBGLZzyryzt9oO3NzuGlxhFcjTPNOScTqNLcUlPRsnmuJUPttxHV1BDu8zPydvlZTKayRR83LFQCSI4q5qEkBhSxM0IyOTPZnzxyB0BxyEQnkMD/4gQzV0DdYgCsTMJnSgHpUGBdJHp3TuH1BUdBjrnF40RlMVnGYUBIhyCeIGIxNVRjRIW/SQQUMNV0MN0lJPDNLNV3kA3fBmOVcQ5KQAJTFhE3DhFqy080DBDP8j6leuKiQuIRZmYRayRhq+DThcyO3W8UzN8zzTkhFgSFx9wFzP1QfGdU7FlU7X8S/ztKMKqCDa670kMVcOFF8DVV/VxlAPNFYTVctcTlvISipRS1gftQmkQEMl1Q4uFVOjAApkjcRsQGnszTU7QCcawzSZCEeM6N5cM0lUVWS/aUYHwEYZJFZPMYXEYATuCq9e9mVztUEzrWU5YAVudgXwCmdXQFgNB/XSIKE2obVe6yI+ogxBxldw6YKcbwl2EHgKQSAeD/J462W0JhdMIdzqdB3BFVzRkmsbIQbCVmzL02u11jzX8T7x9C8N7hkISL3otU9n4RgOVFD51Wj1NSP//BUjc/RpA7ZJy+rHDLZJmwAOMpTHhpMPDMYLymALFouJFqsr5KcxHkMniEhjzYmJqsAsBO98qiBkRxZ0gUibFIMAgu5G9SBlZeSglKllMyAD7g52YxdmZxcpAtJ1d5YDWoCacPYyCwdZ1GoHgra1muFNJOhoNwKXlNYNygALDuOX9GaZDgEVTCEOPapqtQZrtXZrwfVbv7Y8xbYHwpdrvfVMz7RO01ZtAXPP2tZt5xWp+LMarDUWYMGWCNV+7xZvHRNRL4Fvq6IQFNVBG5Ua2UAKKhVx+WAO5IAKumArGriBu8IrJrcrMhZF9eUfTrVyq2CxUDV0O5hz3I0AwiIo/9jgNlW2cGqIA1xXhVeYhWP37l62dm0XdwPSZm/2OFLgbmakWIplB1ZLaJuhGcwEbYwWaUMwl8pgBjJn+MIKesVAeqkX/6zXarNXe13BPMvXe8FWbGNAfNO0Tst3Fc4Xfe0zHQ0uHNqXvRQOGbpGfmOhEgj14ggVfw00gg7UYmJVD06xKk5xrFbwV1NgWb5gDfDAOOcggRV4gSUjLxqDkRvZgknVgv/h53bCY1/Tgy95c3KOAiyARHiYrVCYhUO5hV0YdsUgCwJSIF0AZzOAhnEWtULud4WiWFZLGIA4iCEogpSHIxyBbbTKNZV4k3EIA2LwEKA4itkXe7NWe9HUfP+9d4vBtwfIlhG01nzF2D5dIW0B8xnCIZXcd71+oxVaYRYStBL84PMq6KoM1UDwlZ0tZn8zco/jgIdFcQSWbSqJKQzWoJDlgDIUQQ5iZ4HLgAu4oLkc2TVBjIgyFzLWwisw2aE/eDSx6QRpNoVF2aJF+e4cJyBbxAU62gVcd3dv9sc+83dLpAn0ABMYCojPBIKON06S9oidC5iDWcAEQjzvz6Ok4WqxVpmruE7N0wfC95mhOZrbMRV8GqnRF6fbNpXS+IxbRZwxMvm0wg3cYL/SOVDZ2Y7deX/99xQ7kQ0KhwvrucuKCQ32OREcwZ/pQA2uwAvMgAtwAAcKeisuliz/jMhFLfmh9xqI2AesoAWwKXqFSUCFScCwD/uiXbfTxMWjPfp2efc4mKWku4NwqdSWhaEYhuFWXPqlEeSIsSAEdPLd+MKX0gAVyhLurIynjxqprRioh3qLw7cH0jUty7O1sVmpU/s73deMufllwjmN4MAPnsBKyMCqq7qq26ZQ11mrL+YY3DlW//er8ziHx5qsy1oI9lkREsGfDVkOFgGuCbqgX800P/YGPpcsFpqhG5qv23sttIkI5SkJLCBaJABKo/QDqGmwC/uwCTuxVdgOSSALGpvAb5aazu0pm1QljEJKLbsZUEMczKQ616+X+csMnsAwdHKmp4QNCIHg0tGj//qStbX3a30AtqHZXMO1HW3bp8cYP5dazwITOICbf+/gDP4CL47bDYzbqpebubkUVxwIumMVWbEQEIzD+2oo3f4mDNBgdubAMqL8uxehDsrnRk5VrxMLC26kK9AbkiJZ8F60sSBJvd3bzHstSg4jCZJAB6JAAiqAKnfAECs6lPvbv//7DkmAwF3Xow2cA1KOKtIgJV5P0Kf0FIA4Nb5hGKDtSos4ly68fZpmRtmgEPIDtXFaxOv0qFccXE38xIN6tlP8a1t8jEH8GSpwxq2Vf+FgCeByBjRYxxu4x/HWF4BBO9FkyDGhyDlhSYNsdrVuAwR5djKBFEIhFNBvEdxmif/yxTXZIi4bGcRmarEgg4io64hkass52Mzbe/p+cFOjIAj6zW+0rmYt2s7v/KLzfM8zoLFX4HWdWCkCgdD9t8FVOtHFAaKmbZe1CtILYADII3M84FKWAHVn4cP/0hVEXNw4/bU/PdTRdXy118VfvIwRrm1zQZxnYdWXQODdB9b5y4Gt2hHU2UBs/dZx/Y51fROMrddriAtfngsxQJCNE6CMnRVsCbJ2/Eqq5EicINr5hcwtV3SwRMSmfdu3XYrIoiYoAAqkINzPquTKnYXfsQbO3eoNW90JvMBvFt4JZRDu5mm/OqUfPNG1QRtYY8KhFZfcwAxyQDH+HeB1sgNygIT/L8HSb/oa1HYdFd5rG8FcTzwGghpdu/iKqxlts/ldKTAdLr4V0mjVzyAHLuVyboDHd3wrRJ6Xs9rknUEDn7taZ6HIpfE4XN4QW+Dlj4BC8EC0SuEUTiEkytnoygBH4ALbxfxUNdeRx/xxJ/joMTkZd4ImlH4B1o2EzuoERj93W8B1W4Dqq/7qrd75+Vzr2/1mG88QOFNH1YihjMEYUkMcaCPJtBJatQqJy6MAB0DDgyKPK71VJnCM917E0xJdPf2ZQd0HSEDUubd8rZniE/8aACJdOmm5Ws2KE0cPnDNPZqAIAKCEDSdk3Fi06CijI0+eQL16BQsWMGDOjpk8aXKW/8pZmDBtAhRnypQRIzjY5NDiw4cRPABxGjWq1KlTlYpWuuPHTBUb/5o6fQq1aY4cM55OrIK1ipOtXLeS+eqEadSxZMuaPYs2rdq1bNu6fUuBQoGnBSgsgLpAQ4oTfPvypcFjBc4WNjNkqIEYMYnFjBnXaGx4sWHDK1xYdjH58orNhjoD+qwndJxLm3AZO/0NHjxx27ZlWwbbF63ZtGl5cuTGiQwAvHvzHkCg7hA2ekYXapXr2bNr0Jo7dwU9lfTpqRhZ9+GjRw/sMbp7z/6YxBgfjcqbX4UePfT10K+5fw///cCCsy7BYcNmCdUbJfpL9FqRGxpxRCAoIYkEDEoKrv80SyyXYBJHGkdsUNNNNuU0wiCGcMLJJphcAmKIcCz0RFsenDiXVU5UUUYZS9kwEUVfgSXWWzbeiGOOOu5oYwEepOhUBFFFIIEEfh3JAw8j7EQTB5E5Fl5jjGUxWZUtXMnBZpvhlKVlnHUGJiB6VBKiLKZZY4xq8LSjjTbbxOaLbLXZhptuvt05QAE+5rAEG2fAEUcrqCjHnHPQsIeodddlp9123nWXHWPjkWdeI+mph6gr8W16TTrP5FJfHAthkYMHIXQAY6oxfiVgRgRyRMtHCJak4EkrxeLgJREegUGTNy35gRiEDFLLJh6GGCJCbBQxBAVr1SVXVDaw6KIN/83/SIYWW9XIY7fefgtuuE35qJYEFUyAbpES7HVCChtggMEGSQa22WRXTpZFvvpaaKFOO2m5wpJZAjxIwZ0NwlKIsZzSTDLWpKbmN9hoQ8wycV4sJ5257fbbAL4NAJypOTxBMhuFEIKKKYQW+lyiizKqnQ+PxoBdY9jdXN6lq2QKn6HweYpMKwn5icUNIRDQwQ1adeWEFmW06qontX3kC0nOONNN1lnXiquDEcJLU9hiixEIsbUwqFIrrRBCSCGFpMGsDiGMS5aecQHp1LQtVnEDCDfIWAYWWMxwg7iGH4544jxOUIEEETyuQeQXHHCBXn0BpiSwNPU6ghieHwF66PCO/x7vBqa/SxPAKyByyCEFny1L17AMoww22ECsmsTKECNbnBZnfNvGHYOM5wAhhDAVn2zEcTIhh6CSiiuGOpdeeYzcjH322DOGfQ/npcczyz4rh0xBhbChw1QzgACy39SSsZUWLLrxyCMcbTQbxr4s4ww33Gi9tatdbSTAgAWI0kA6sG0OA0cIRCDQpja1oQIVh2Db2+JWqrg4iy4euJueoDKRr/DNfS0i1YkUh8IUqnCFbWlAAx7QuAho4AAHsIANh4DDHOpwCDa0QFxMdTwKHGAH8aLXZhDBukPUwiANwtXsanc7NcFDYtgghiryB6fZBM9OAABZCDx2py4OoAMdGP9jB1CAghzcwAZFQEQqpkc99FSqEdqrI/ewV6lMQQeOznHPM8p3kCIQIAAdIAAYI6I0M5RhRlgxg4AIhD9awGaSy9iG//6nNW4IcIAFdBACSRe6ULotgqTMRS4mSEG2pQFuRWjlBS7gQ6d0UIO03GBTvOKEG8xgBlgogxmekINosXCYxCymMUGoqqwM7mgdCIAzI1KCBVBOXvQSQ+tahwomym4Yw/iGN6UYD9tZMX9xIoYVVaEKR7RhCxwTI/HCeCdnytOZhDCF9PhYvUp9p1Hbudkdb8YI8+iRj83xoykP0ix5hlEGWeFKi9yQCEWgM51S2x8lK2lJ/2VNk5t0xkj/YFEJPbAhgQwM5RHcdhy2EUKCqKRgBQkhoVC+Epa11KANafoUrtjgBoLDAsmm4oFjCnWoilvAXciCLsSFgJdYMWEBkAaR3gxgARbQADU957wKqk0lXQMGN70JsXiItU0Wo40vzGkLW3QineuUQQk+BrJDhvGZvHEmCtLgxj3CMZ/m+Y4dSZA9RQV0PQQtaKeUY8pWXEIPzUJaB8JYAhmkaitb4EIbItqJtSZCapK8aGvacUmOdrSAIL3PTE97hFa2knkobd5KXdo6lXqOJjJ9pQ/lMksLzDSWTpHsVqrAhSQI9wlYqAJRj4vcboFgARQQUlTQxTgJGI4COniCGX4Z/0y5EMCQINtuXS5wOtCpdKXaPMlXvynWeKhDHW/KGC1UYQtd6MIWbN3CFt76sTLC04uHLEEa00AIRJgievc01KX66tfsLSY7AFVUI/RKUD9+ynyLzY8O5CLXO/XHBvZtgyMU0QlSZHazWJxka9bbmjdt8iSkPcoSbnraV6p2ea117XjH6zmbjEB08LJtXG46OlgGtbcUCdxwFRmW5Cp5yW0xanOl+9zGHa4AORBcFZxagFOBYMunCkEHL7CDMB8hDSi9VSzMKw6wwiO9KN6Ge+ErXxErwg3ws0Hx4hpGPPcGBTcowpgPsQcCT+/ACKZZHbHTTx8I1hWrKGxB/7jVhP+QqFR6yjBkKeIGRYBYxGu9Ii0sCpsTs/dNsFnxMWIB0jvc4QnQ6qGrh1CE5bEWpTfGcY51zOMenzaBFxDmLclQBi9AYdhYgJ8TSsDkZCubLAvQQRSgjBYcFO5bvFzmdkOwxhv0jYy61EETmhBmP7OWq7g6iTPEge6wilUd2igrbeCsi0yQQg5y8IIX7Hzn7b7zN2FEgQ78bE03EpjR0CC0Pg8NswYzutGFvYZyDKIr/CyhIV7mLjzvdIMuKEIOme14ZlXBOxOnOMWTHC2qj8IQu9ESWhSANX4itEobs61gSRKDhcQ2ApKOLmw9tsBT7FsFL0QhCCYwgRbsKwMZRIX/CstuOnKT4OwgpAUHS4NKVtayracAlbsxyiUIlnrlJywB1jMezSW6Fgur9U8cbQJnOHlnVmKolRSZyAQd5nAFL9wgrocEjp4KYGk9A2ABsD6CsA4hYOksnK/mgRk/Hw9QCDf8GaiYRWhEOoQl6MADFvdPCbYsV5CZ4ApymIMcNK2KzM7XFhXD6MhbswxmyJ4ZAzz5JPxwhgv/HfBxrYsFyM4G0KVBWCot2CDmpaTB4DxsHFggznt8VKcUHQHUN0EHcMAFrESlC11wuvePmYQlDD0tf4PfU6illbTIKMlN6SDgeSMDiqxIlzOownVJNnaX6wFEThTJ1fzXGtogDmoi/1YTswyfxgzLIHchZnd0wAdq4AXrA3pg5HcYlmfGQ4GEp1qGZ02BtnircB6uUB4IxyiRV2ARlgqoQAh6oAVYoHkXpl1gtGHaFgIg8DEg4AVXMAd3pwiOkHryNV8VwwyvR3IX5VEgdXt+8AS6l2V9FxwtR3Z+NmbjpSE8QANXmDk6sXw3JzY61nNpwQW9BBUUoQXfZ4bElANRgHVb8RRKo31n8R/yx34/8n4AEH/Gpm1ZcWWkcmG/NyJFcSBWww0BqA3ftGbh5CYJqIALSHd2xwd5J4G7VEbd9Xehx3eH9HU5EAIBQAAXwEBisAfQIUcC5QqKQoIKd4LT4wrSQUGFoP8FaNQBR1OJvSERO6VLfcMbIIB9OUgHdCBi6BRf8rU7sUeE20Ax5oSMxDAUrDAJdYBdeoI0+MUbsZgDOqADUSh8M3d8YRAGfJEky8d8v9KFC4QBGuBcZYF9PfVz9nWG7ahCOdAWSgcVMjBtZ8EVDbUiM3A0/dV1XbFTMzAVGqQDZ4AUk+ARr+ALV8N22mA7YJVe6pViDKkM8UUKFUlv9laDOCA4+uhd+kaB28VdfTcAIEBGnKhbGNCBipcKe8CS02GKCLdoiEIdqWAKptCKLGgDsEgAXraPvNEfeThCEYF9XLBxvZgJHReMujCM2TByTGmMygCVUJlWtsAKi7AIdTD/OD+ykx0AAvglETy1hNeIQ620SlPAA9zYjSmglimQJKaDAUxSITqWc5xDEx8QLxoAbU4xAUJAdDfABVwATFXhFPa1Be5omMf0QWwRF2Nxj7pUXC7CNyjgGxuGS7pRAsYzS3GRPljwSLHiCwnYJrYjmrbDZuulDraTDMmgC5ymCIngIlumNIJDaYaEJ5VIgXhWgTdVBACGeEiERCwZaNOxB2MgJeMRk+tBk0h0TRaUEGdQZ281ksfzRSMJm3rYN0OZaaVHB/LWCUmplBXjlK7BlBKZmqoZZ5m1CGbABThwNDupZSCDKhThU0tAn09wBkMAblLwBScgBI0TOWrJFymg/wFgRpdiQ1I6ES8pUAFRIQR86QXAlQTBhDcycpgVukIn4mtpUUtPcYcrggM4wEtKERZuNZkoEEJbAZ15QkumcgNkgD+qYFEMOZqimV72YKPqEE7YoJpq1YNt8Jd56EvAFIN38oRPJVVf5BvB8VRklAN/Ehr3UQi9uQc2iQqIQCVVMgZjsAeMMJPSYQoVlAbLsgR/owVlChbtpIv6KJ3HE6JmMDi7ZFkfpp3yBoRAuJREyJDlCYTyNm+KUAbr+XVfp6Zf9zfySTLE1SJmkARNIAVBcC6NoydEEl0RYAFhRpc6By+WugEKOgFP0aB8mXc+JaE5ZX4WaqpvMRFq4WWJuf8WtQQk8bcV0+aX2bctNsA+wLGTSrMtKcpyFHAiIVAGiYBO5gQbxDCjpFmjNmoPOTqR9JUIj/CXXOCGvuRUgacnppJ0n7dvXQRVdmUD2EIGbDB8rYMIVXoINmch+QKc02EKLFlBbPAEOSlPaBQj1kKL0kZG0gmQ9nkGDEEVfwlRikAFclCRdSqM4BmRoamj5hlvdWd6frqeano8W0aSQPmm9fcVf5oEUPBsEoAAJmBIRNI4jiNERKRzMWapemEuSfUPe9mgQZB3UQAFOQACY3iqN9sWV3cWJwQVeFM3GOqr0fcPDFWP/zCUW8AVM7B7J0I4/PEbT1hLSXAGixAK8TX/jMtwrA8ZD8pqD+x2jOiUCG7wl/cYOMuEpHeWNLu6X3cCI/GDBeI6rtd0rjxHE2KQBb6Jt54TpkOwec0EEZFli9JYi1wZi8jDr3dwBvoxFWFYBtzHcaRgsN8Ze6ApowsrX7cQCqFAdw9LBn8JTJpYg/7RAQCpPkDqS7/0BFHwOI8Tsqv7OB4gTTF2Wq42U5FDJCuLLg4ABJ8aBEHwoDiAs8HrFgzlpjv7I3jxOFABuwtwrScySz8yAGfxoTJSBRmkQb9qg0/bqxSwqHdwCqEgX6xXrKOptVurrKNWVrdRB1gBOGW7S+xzcRGBS9IYv10EAh4wFWPnZ2SGY6CDAa9U/1KHF1tiEDrMwkMWKJTrM5kwggJfhzx8cgZscB+Jqz6EI1ka1wmRO4yyp4CjmZq6gLmZawd3RwVd0LmAmT6m0pX+FYsdZComuiLXdV2iGgHQqKQRIBcTO1WtZkPX67y1JLLQ9QBDzLteQAaFKbxJnBZ6gwVmkZl4swCPIwEw5DgWUEO21UO0tLrzWCMmYMSBY70eRJvaG7VNAAffewtBaE5QhKwPybXsJXuy8QiO4CJmCmzUOjgUa2kR0XUkWr+9EQAoMLp8AmtkdjKBkAZSUAQWwHkdNARSkAaBUAiILAU3ZI0oYnHUuWW0+JW7hH9L0K+hzBAU15UyQAYgZrBQKf+ECWisoqmamSAKscwHD6gGJXx0KFwqx4MqO/UjvrrLK0ItJZQERqXJRmVUJIlGyVxIxwNEkgkAhVQAxuwBIlsBFTDELisEa2DE7KTE3VwWV2FcZJFbdvEUzHW7EhA5Q2SyYEZDB2DOtxsBHvChOIC0L9AUeecFskmHf6dvUgW1cmGNQ3DGrFC1aWVOlWsNCW0Nydq1rcEMcpIRdawFrFIHzkgq6lOD28rHEwEjfly/8jTIY0djb7MsQ+ABfhsC17ibqxQ3zrumIAmfK0y/JTAD/CrKooy4Z1BcNiADOBCsIDaVtjCM4mmMrvzKmSAIgmAFREAEP0AFL5B0H1oqPwL/dvlI1YX6W8GMBcO8ANT5oeuJA5yHbaniTEmjbTkpVZO4ANMcAdSHAEXSu0GwBtrsBFsAolGRdN6sxDDixBTQQ0JbF6srOWFmshhA2DT0ZCfQOFDw1VygBfbcFEEQBU+QBOwJkiA5nWR8NzrQJ3BwB5XACqEt1MoQmgqt0OZ7o7AnG8GTLXbsBhWNe5+bPJmtYQyFFX7Md/kFRiBQjcNRHHGAH3zrAd3lASqtWhg03APAwquaZajiVpuci/x6H34ycbx0Bn7gB3VQBmQbsMOKjK2RDeEto6mpVnYnCEigAAngAA2AAC/QH1xGh/jbS1WgpkylFW3LIm66PtQJlPT9/yMeYGU30Bs2UKbHBlfdRQBFV3SPEwVSIAVREAUPemVTwaFvqNcXThd+rVtC1hRepuEzRTrk+L8HYDkBKgVLkAR/mYNOIdk6MMzTuaa0XYEC2dmqNgminZqimdDogA4JjdoN7W4ZQWdlOtEVUQfYnbjWSJ9TcbZ3Qrx8g19mJJJNztv0SZCIu+TZCwIAmX85pB8zwI8efiK7rEvQDQL2OSIjkri7ZH/ZXQdfUab291COMBuh9nrjPV+dgNTond7rjQACEFXGo3JVphRGs1RYoEhLYaL5PThlVJ1kiAUdNDJI9lbXwkX5Bb9iVBc1fgczLHablzf2F84YjuG+V7vm+P84fq3OpQOOPGE6a8mNX/AFDg7h4/cPRQIFwpUELr2mTtirvzccnm2VmXsLqWnapq1eN8peQY4b2eJQR+4HWK7kFey0kxmbRRPlggefcrVUNq3T2O6TYBmW6bNLM10Csagnp2Kiu6TAAHDmfzIiqnYGmjgDZlDRdPZbvvSnW2A/tCB7I6ewOhpndKAGVpDe6v0D1CcAAlBIShoXVbaRbBrg/RF/WNE3ceU3WF29U2Fllgmru+p5LJy9v7EAuq5qSIHkPzU3TWHhpH7h3+WJG6CyEiCzRbADWggwYgMwyMcDsv4Zn/EHa9C7q8u9wsW36UMVxyNXUNtDrcQGUvAGdmD/B6QQCqKwC8d+2uvWZukr5M6+IlggyvRpjepTXGHhH/TYVLt08YLXMU2eizXNryLqlTwlqrkM3RcYV+dOujPgHxB88ogbmL0EFvme6E7gYQjIlOw2o8ogX3anBkSg3k39AwlffTXMXA/P7l7GtISDA5Ver1KV8TGyh8W1NF3BvkwTFjAy0xqZBH1w8kWBFP5K4S5P+01BAWC2A5vaF0EgBeCmEwOjJamjOpvBA5GsIT8PCEIfBXZhzEmgQ4qrj0vvezf1bUUgBWswwnfHB5/QC9bQ4wuttaap2rPR9WGhbTVNn+lP7oRTBcZmLdNif2ar9BotRm6fi3wycWYAPxxT/wL2p98AMQMECAAFDR48OKBDiBw6nsy4UQLFjBxLzvjB6OeMjhwzbHwEWaWMmTJanLhx5InWsmzb1KnDFjOmMl2ZMtEhQuTHTjVqdjZogCAChQUUKHjwEEIp0qNJCRos8bGEwQEgQtwA6UQLGSdOPnbtWuXG2K5kzIK1MdWgDCdkytTBWEluJT9msGB5suTfXr59/f4FHFjwYMKFDR9GnFjxYr8ULuzYsSHFCcpBpDTZ8eEDhxWdO48Y4Vn0CjFpCgUaZAjQajRrokQoUCBCBA1DihQZsmRJjhwhCAwoOIBAAQoWLFy4cKDJEClBevL81AsdOmvW4qmLl/36y23blv/5okXLkyNHbrzesMpbh27evXHcaMs1ZJm7NwbcJwACOEIACkPsT8iDHJ7Aogz5ppJBpCrEAkEt/h4cIAQBHcoBqxsoeuKiOuA6Y7cZOkChBBFtWNCMKrTQAiVHVmrpJZliSqYmPtTQ6Qc16MCRxh8ekGCooo4q4LfhPDjqNwABEFHEgkoA4cKIoirLKxRsKIsMsTqAzywtu0oLKirJcMMNuOaiy0S8dmMsTTXXZLNNN9e04IAdNNAghRQsgwKzHUDjoU8eNsAAgw36pMEzHko7bZBBVgOktSB6lKBH2oaglL0cPDCyPwmNMi7OAyiIIgggfvohk156qc467LR7SZ3/lpb5Drzx3CjjBhwGmgGvJ3ibQaAmwQJrwQXRu6/YI5e06r+E8Ash1yrOskEGEoVNy0EAZMDWwRJkeE/C9njtdYYnMjSj3DPOGLejEECMaqwFbdgKpZW6U0cbbWRKZhcZgSCiJxz/VQOIR2Fb4McghUMKqd8eTFKGseoLcUq0JCqrDAZvePYsLrtcsmIx4bojZD/KoG/XN09GOWWVVwasYAs0kCLmKHJYQE5BNxgU50Bx9pOHEaY44og0AiGaUTTQECKICpaOdKgkktBNBx0oKCCEgawiklOiFhjABARGBaoBOqJLVTtWX2rJO1jBA6UOE5/CeNgbFhoIKyqdELYK/xmsfRBJiRZSNrjhCrivSZEMDLZXu7UFS4a1qrjr247aG/cuy+8qN92Oboh4LKziTcmXZbrr7l5sdtnlk0z44NcKQV7/5BM++EAjiCBMGKBgow6OUKnAGY7b8iqqRcHztKhUcPioDt8YhQ46SJJKkqc3o45zzyCJvhn4wqIKlr8HP3zxAWNoCY5C2Is445Bjv/0LAg00aKELKSQO1pAWQogJJqhA0gWSWI/UjJKUG0goa7u7DwAEgIAGPMCBD1BD7FCFDbNlp1XqIB2slvGKV0zCLk/5klfSAoIOfEgiyDNRRPqGkKjY4HkLK8hwqLafBJFkSxfCklTW0havLEkkZv8Y1246QpGGjKtcVQhXiYBovgpVSyFYaQtKVDK6bWSjJdjIVy9UFzAiuE4QlIid7PCwhtvdx2AEyE+zrLbCa1WhXOWymFSaBJER4c1Ew/vI4fBYgud1oEESc+Mb7RIuLJQLC9wrkPfGt0hGNpJNT2tZwX5klIIdQE47iN8RdhAHTq4GD0fLX/4m4L8FSG1qTfHADAyYMA8QriALbOAD1cCHT+zCGjGpoDrasct2ZHCDHbSLWu62MRt4LkR5XBAO2Oi3JDFJP/sRDgKXhDGSnWVuA0FBiHbIpYIkaCQd8pCtKLIEclnMczcoJBDHBZG0CIcAV0kRSkDxCipaMRvayFf/6nDiAC9SAoyfEAUfxhgELwxkAQlrlucadJAkGYSa0yMZWGyFza+48V0oNNFHnOcbECHzclj40D9KeJft8UVYjkRpSlVaBScgRpILGNCuKmnJAyDnNpvsJB50ejSkAQEIpJTapVg51IRlCpYOXBoaREE2XJqNl7zsDqxeAQoPVkEtUAJWWECyrWLeylhH2hbGqgUh4sxwSQk6nDmv1sdicXVvdWuLGcDZEWyhk1wkYakT0KkrAnVPo4MjQAdS5IhJvAIYzuBGFa14rxjdxAoJcN0/RTHZ2dnhCl7gwq2Q0pHucW4q9+GqVKry0GpqiSvomdLd3Ng9li6ItVx6XlWw/+S5XI3rIXwhYkn34jCV9ta34YNPVwqzuwLs5S7jOmWnLECpITRBD3p4wx90Ol00BAwIV5iN7priO1b6TinF6oAJrvADIPCvAkplqky0s0t2sIOX3HAGMGABirpY1SCGqxJXRKik4DArgT4UFt+oQgBpLimPJNsjCQH3HwAxCWNtGQl7PJJHQVazK3gZUIHk48LBFUCwYgIFLA7LjcSSzju2yIQgkKAAJAgidpMdRUAr6wUsZFYpueqsNquCA2Ch51da2gqYwkSGtEhMK67N210MpF8XynYsz2uWbXPQl6b81spXXhnGtuIEGQiGKa006UiwcCmqJYw3T3jaHaI73f+dosGn2I2Adqu2lKwlxY8kfGYIxEve/U2AlulVbzzYy457tJfEzoBFJSZRB70FB7+mZbK17uPd/5ZAjwIWHHFcaWASjYSlNghRB9D4XQBVBSLxwQtHZpDaH75xyWQ4E4Gg5UKmVChFk6gELJyBWBKTLhvMWEYmPrHiFgNUFKMoRSgCSgc5eMEMmX0P5CwmQodBJGN4c1d8tBSm8mw4PiQTZIWXrFff3NiPCGsIR6hMASy3291rejCwbACYC7WnL8Eac7j0jYWnnSEKa1gDT0GZvx55QM5zbuUAk7Kuq5Fwz0BwwP5cDGj1Drq97Dg0LGCxaDPMoFjuytiWvNJMJn3/tcFxQ88KBxCbhY0IeQjmEgqeWayBiOhqw4Qcb5SCJddazobfPJcZmnch2xaIsCLeNYlLvA1mMIMYohCEEiCgBGOLIhRXFwWOLssFrrdWWGTYQtjzFhZh5VfI5CmPV+ITpnCHe8lIDMGcr3kfpEjNA+/Ge94Zk1Wy+4Xs3fML8vKGIiT2iutm8ILtQok//fXoPwsoKyuNonDfXE0iLxhvTiA78Qm+iIKDfi985ds2IAYpBHmd3pakMq2Ur3Bbt5r5f/ubwBEJ69VM5k+0q6BMJH2lmBcyYEKPa0RwYwR7YglRk7BwEey9JcQjVnpLiDF9XUBd6koQxGRvsX3K0mHr/zjYAt+30Aby61cscQOWWcKkovKYZ0Fl+NiGNtQH+su/DiQbcyurBupnFqDOegfAABSM+PCKf+g0ReILbZOPwDM7K7kQHOCCLSCDxKuACQil/DmBUYoAqwGBA2KKyVO4d2qQqHgBKviBnLCCFgOjzvM80GsHpYuv+ZoEP3gCqpmBb8ueWUMhsVim/qK0Y1kSKHGj0lI9vsGYFPISkKA1IkmKXuENciqkt4ALt/mQwpmB6vED+SssXeM1EsuGZSAGZaCJT8gDJVACMMCDUQiFW9CFNlwdNbgsHAC/WQu7NniEIdMrJ2EpswgybkO7MLGY6rE/uMiIjNgQ/MuBAeqAav8BgcEZIAGExEjUCpPYC2pCQANUQC77i7sBMr0CAfCTQC8AAv2xQFGiDMcbiAMCwVVsJQ68PBNEwcg6lerwPGzQhna4OEODL0TrID9YgqOYgSCDKI1BpjjCNL6ZNFJjmOJ5PyKEFsc5CLQSi6sSEWxZQqRoFopYj8oRxA2xC9/JFSzMiElAui7khi+cPpoQBU0wQzRMNltww5uAQxMwgQ5YkK7YGy3ogkRQhERwA67YvWiDtLP7Qzcol0IsxEVQyEXIQm+0C96wsyQBHFaKxIoMwAXpi+DyOycIuy3ossAIP7zBghvYG2wJvyvIHzAAAxFgyf3pnwjwABCQpOIwjsn/U0VsBI4SKEEboRHXiY5ZpEWZ0AZxuLh1WIduQEpEaxsa7I2QMwuIspi8ucdo0RZp2ZtlKRa/QYgIUZxm1BguucqzEhaSzJYSkMNekZBsPK6gyoFCsr9BwjFBLMRcgz6lg69hoL6lakc1DAV41AVSIAU5kIMruAIEoMe7wAEReYEuoAI5UAQvADuug0Cu68iOJD87fIQ+IEQ/uIO5mITPVMhQUEj5MyS86JWG+b1wQR+LZM3WTBOGCIFqlIGTRAOVNEMlaMmXNLiXUi6FA8FWSqASvJGeuJFaAsrqSIZksEVx4AZ2MEqjTEpgKBO7wJiBdAuIuqhh4hi2wEc2aibB/8FGKNIjEcKbBbGWbREWLsAWbmmPD3GX42KijnAj0uyedNqQQuxMpFO6F9xFZ1iGMUQCCAADq7s6wOwERUDQ8QqKCICCJLgVGShBKoBDLygDygw7rrPQyiQ/+sOIkCETUAAFVmCFqxNNR7hDVzPGbuoKLaAW13RRK1vFOYu7NFm5AQoBFJhNLvCCNcCDPChDM2QAEeAfUsqa47gACxigVZwh4BBOOiBOOsiEXTgVVEHOZFCGoeSGbliHd+BSpDwG+aKL+goy0wK3N8pOAhQmHoLGvokK/qrRo1hE6cmoAzMR3oOKI/w0GxinjqiokciL82kWLHRIcezQzsw1LiQxXf/cNWdwOl0YNgWwAgI10AN1hEQwwQbqkYIBAQg1wZ3wAsziAi0ZRiBzi/ss1A8NURINBUVwBPIbiXHjmC9RvRelVZQqDvdRrvXpFAqYjV7dmpcCVl6NgCiIAijwtx69TSAV0v6RlF6lDeSoSSVdUgBo0ieVoClFHSudPubshnPg0nNAym44hli4hEq4g/vjQ8LrOeHBCqwauYLQTu9sqP6IPLtxgrvAI8GbRoTAAcjxghcAWBOAgnX6CifwUyaymis0RLnENTK5hFiIhbpU1F1jBl8ghUywAkjlg8kihU44UAT1gksVijhbgAbZyZ24rE/tgpX91JZd2Zf1goVkSD//6IO5ENFFUNVVdQOxu0d8nAooMa0CrNWhHR8jhR/2uY2kTVo6mQw70QCaMg6asqSiiIDm+IIv0IPVAINkVYIgPcVIAdtIoZPk2NUYDU4TpJEucjFN0ARjcNtd0FZiWAbE6tZzsNtwnYZpgFi6+EcyYNExG6KxUBysSC3P+VnfswHZ4w9JK6scyKt7nYHHDYux0I+D+MQb8BoEQIDLqrH34MQy+NPeAAFxCZk7aMg6AIVcq4RLeNhYOIbXPYZwhU7RAwbw6AQ+WEkvooM5cExFGMwroALNNYGhIIqqOFmUJczG/F3CZF4qoIIrsIPotQOFpL8+AM1Q8FiPRdBEADuP/1zPshQRsxNaoiXflXGM94GfTJKf9T2CyaCMFNgAyNgB9pFfS7IAKfiCMAgDRgGEre3a2xQByqCMpekzsbUkaEVSECQcJoXFLkrBPGDbtsUFXLCF6YOVXTuGaaiGagBXpMxbvY2FSqiDf9SCG0hEbOyjdYlT51mIDgCtFnIhFwZCsjIKx9UvJ5E3UIutI3E4BmoAKugCMuC6bHOL0F0XcTkDODDdDZmEEIMFiIVY2I1dpNzSoxQ9DvKETrCD/BEBK/BiNQhixkTZepSh4u2aTt0JnriRf9ndOXDjOcCR2cEDO1gDLxg/O3QEOYBj3mXVf+Qy/mIowxEJLYEcMCvfQ/9+k+NIX/hh3/WdAh6ggUj+Ewz4gPTFGUC5gDrRXxowhE42BCMwAgYQZdwMYAGmjAKWgKetqSNN4MlbYAXaSSJIACRAAghmW04YhVNgBdFhBgzO4A2eBnA9hw2uBr1VtBEu4awJEiO5j47KpgXbORBhYRfuQXr1PxvuCs8hwGrZYaoQDq8BCiAGOzkkC7fQlSFCYiU23SbWOCh23dcNV6T0VnCFL194hfFYhC0WAhGgZSsgAipwAjH+gSswAZk8qN0EgT1LYzVm43+ZnYeenda4rCAOE9/dYzlIhDaIQEzrj9GNS3P500dE5JFmDCJBjkVWX6ERg5UWgxWAZBroE9D/GAEOoGnOWIER4JmX5uRPBmUjYEmWNGVTZtaxPYCyRSUPSCAUANgfcIAEYDFb1gROKIVT4CBf8AVf/uBgPgdzMAdgHtdjLuEZ0D+WQ6OqgOFiEusB2pw+qtz+mOH+eKdUusfzO5wD+awjuY8CyFwEAGKOhL3ggpxzPjOLKF250LgnfudiIAdyiOe77YZdkxVHWAQy2mcFsGwHoAKAdV6CnoEkKBik+GwoiALmbV7nfd4rIE7iBLiAqy41cN4uEMzYFkxFWASuC8usLAiZLKIgOhfmGgJ1I+ngRgz1cR/0xYCgWWlCOIRDWOnOgOmY5oAWyIAMGA0/iWQaUIHs7umg/+buE0gBOtEABGZFnCycbaGCpn7qCM7lSniF8HgFZ5DiDJ4GrqbvYp6Grx6ZYhK12ODv32iQgq2CJ9CBTlG1uUk+k3sQEjqnnoWokROwvPaACKBHehyLxMxtkBMJwD2zizDUQ33i1y0GxV5sLa1bcfXPyN7RINhnCLDsBPhhgH0BEyCip1GK9hBtYo0Cl4VZLyBMnxCYIAgVn+JJNXhj3u3dRUAXLngKM/ovEACgJXiaJFgONmCDpB2CJhLuLB8M9THS9skkMVDuQ0AERGjp0ViB6c4AF1Dz0bju7M7uSO5uAYbz8D7gI1VSFC63BoHQBnBqJYDq9QaFR/AEw4rvvP+lb/rO23FNtDqALQIgEpYbwa8o4iFAjt/ejXblo3JjsGXUb2vDwXfRpq2UIRRuYR4+NbMIcKkhEDPgTMM+bGAA8cVe7G8F12PYte8QDzdIPC5mcQVIAAcIihewATmsCHAZJ/PZxkI6EZDggjLg8Z0QGChYgtFm6H/hY0foA43QgZgMDuJA6qpYAErBDXEvAjZIg3Ov8nE/JS1nd74oK5rklJM+7pVe7kPIgiwwczUnARJQ8343czdXATgX6v0x5e+G2mhlJd6hOcVsaiTw81te70kgD0KXYkM/9K6+72NY9H8ENQOasxE0Mi14giE4DgsocEZE8MVNErgSVWoJ9WX/4e8JL2u8bpK7KQNwegKRGBMPh/UMBoefBwcufQe7fd1bB487vII1EIKVhAAIEIFfD/YXqDeOGKL20I0ox1D1xJauC9mBNoEcSAIoGC+edGMnVQPHpD+oOYpikQ1nrdqkjZkpmIJzp3u6l58isIDiavcsV0XfNFrkXukWEAN87/fCN3x/9wyAD3gaEGAC7jPv/m5VLupWZiUYcmsACIAF4ic/h2BOwOVSYIVFSARHCDHYzWq7PfRitnWNWzTzQAGlMD0QUbCCnYEBR9LN2Sq1MDljCUKby5KzOD/KjT1jIQB6FF7cOZYB4ConkCuMMJG38ANX7/m8BXoudQd3IPpF/wUGDnqERLiC2lTJn94fB9LcGOeNJJCcATmDJOiDrMfQjnQCzabHEAj7UClt0/7UKJ8arhGO2QhbgJAgpUiRI1N4IJyShhDDQw6ziBFzpMi/iharOLFo0YkNjR4/ggwpciTJkiZPokypUqMHCi49eLDY0sKFC0duRhzBIYuLnj5/AnWxYqiKokZp0DihdAJTphUkaIha84IFl1ZheggxYACArl0DCEDQgAgYJXnycEo7alQoRYocgYIF7Ni0unXP4TWnt9q0Y86Awao0qU6ZGx1CEOjQAQUKxYptQJ7RkkJWyJZLePW6dcDhzZlLlLDhhAwZJxxt3EgdAgSIrR08g/8V2wCBia2ZvYK+YaaOHz+Ey/CuVCnWXLp1q4ED5265O7zdnP0FDOpRIjt88igBA0ZI0wkPGsymjSNJkhzmQ8zAUsYNeyw40leJv0UG5Bf2FYfIASVKFC9eugAIoBdP5KDDSwsgWEAEElTQoFIpSHETQoYMwhAhDh2CyB57QCQGRRo5oQVHFolm2konopiiiiuyyFJLMXk00wUF3XTECDrxFJSOPa1glI9ILdXdUxF4sMABNFlQFUwvZdXabbGNpd1ZmnCyySZsdSLHW3HNdRxf3XRzjl7m8HWMX4BV4ocZhiE2AAqQNRZCB6ChEAJWctpAnw2g3dbVViEAqtVnkJn/Vhpkuc0QKAGB2gblbCa0xtVtW82wWx2XmmFGb8LFYqZd1ejF3HLmnPMcMIDBMl11eGC3nRCvNvXdoziMt8QSOaBXBXuOuFFFoumZEd+eJcggA2gD2FngE+qRRloVWExmFQULULCgUteekMIUBvGwgiEUNpShhhxC9OFGpWVU0Wiltdiuu+/C624BFNBE0BEYYHDjTjsG5aO/QAbZoAQSRAACggskyeSdq0kKAFhhIfADEUKAcVZaVpYSSiduuTGJXMZV82U3XvLV1zGoDoYFoIm9aUNjjh0WQgEFZBXCDcNi5llmfwJqGwDElmiaaZDJgANrkW62WQcmiIUAbU5O/4psDk9YWocZZ2w6nHHThGyON/KALY874JT6FyyBTUKdHazmoR0asFbgHXgIvIADF0k8QWAO6a3HXhU4oIeF4DPMcEOxxYJAAAEIkseF446Tl4QHM0/rUgQapICtUmGcgBBCQ60QkRgYIoJIFhBN9NHQMvwTdLyvwx677B65RFNN+Op7+un8+vtvUks9BRWRRy8QLWU1A4p0bGL98IMaaqCBBx6jXFlKKYssokgicH3spV0k22Ummn6oXIDiixVbQpwwma94fnuD4CcBM4cAGmYA8OxzaEKnhpFp6d9vZwNYQAFMYAIBCMAEnZlUsqaWqUw94QxY84PWSOaNC4bNHf+kOtPZQNGHNnhhDdE7S9u2M4EGzY0KXdiC48yQN/NQjT1l8BUI+ocF8+QAC1vYoWRmBgK7caEPvDmDrXTggcUhyAJRkYBSkIKUMITBiZ6LiEJEZ8WIHGEIIbFBfKqQp9mBMYxiVFHtbIc7DoghC6XTUe98h60KpEADCVsNa+w0mZrh52icYVoDmvc8Pkhvemu53iLqsKu4eIprIftUyBZZFzPFIk1nyMHkCoC+YtngMC1pX7J0kIP44W9eWbkBn/yELJ/JYDROqMINCqdKJxgrgJqZHwXMF4BbLlAzUtPBEpZVhatJ8A5+mMRwZqFIUF0wHOEAmwbP4ZcOpq0NZoj/whoAAQgSuqpBslLhDrkAwSfoIG9mmCENf9hKZTHLCZKpJQFQ4ATg+OEObBjCEIz4GiNdAHNNdCINoMhPHmyrRje50Y0kMhEKbPGXXhwjQxvqUJFQjiYY2MEHPtCCiGRhBf1qY1GeCMUTQEUDBzjAAkAAMzvCJHl1DBQfx6IGPgBSemthSygW4YcPtsERlZBFMZJzzEYCtZGPjEUk70BEHeigcCgglgw6cEcPgGAGT7DVE0A5AFGGYKkBTJpXUums1NxgXV2wzwsCMKn5FWABDeMq/v5knl5mKp5wgIMeOEUXUOnlgt5QJjPN0RdUgcIRbZAmf6rJNu1whykO6OMV/7pAmjJgIW9UxUJ8WrlS84TzCVWY4Q1hMqfRuCGebCCIBUpaAJroc59OhGIUkcKDI+xgBzXCF22PMBALiISLM3wob3sLr/RgYQYQpdcBYkvRK0ZkKN8yRBtpYAhAcMKaawiCFIZA0pLiB6VYaZJJDbggCTwACGiA6Sg0YV5NrCUUdihkH3boiFMIQxjRiAY4QiYNaSADGdIIWX7zW7JjxOISlZgrG2yFKxCABgST0UHkkiDBM+DAlGpFcCnZ2hUZsJCcVdjhFsjQBSpQwT5m1eUAt4JgUw6AAEmL6tQmeAc4VOISMu5UXfQSthv3tS+BAcUkHMErN0ABClIQIRq0A/8GESAZyRMQAhCu8B8nOG6qvaRsamKGFRwKTnB5I9ycbEAGN/BmCUOwwHWVmNomeu4Lav4CFL+wrdhOJc41GUItQ0Kf+Pg2z3r+yMw80ueLPCtTlB3JwUZKIwxsoEZTCEQgBrFcQyBlBc41BCdGUYo/vCHI9USQSQmwXUBtlzVLG1iDKiCE6J031aPAw3rNwAX3wne+9LUvfvV73/4iY5GzIKqML6EHOLBBBwUYAPHmxeAk3EGYaqrC/XSG4oZ19XFlMA2HP9y8EI84aZs5WrPRquKfoUZTFBTOJYg6C2NOwxzLwfGNNdgXwfTYx7yqQxKWIIUgvOrIImAAvxmAZCH/BMHJxRoPUveWmjput3DnNI/gKlvD0ZTBhS5B0AGikjknPkgKGt84x+OcJDIf6eMIVZ3Q9mzyPc+rABoRZUVEs9kHButExMbCGV7ca0xs4ltOpHQwcBGKUyT7qLhCDM2OF6gXlTQEJmBQU06dh/P+4hfm5QQe1tCfV2/hvcGgBjXmS+tnPOO+te4vX85NVF7/WtjuQysFlsAGOCTbN3XggiwZ6LPM4OCXZShDszps7eYhINtaaVhUWeOnedVSUlzUFDGHY25jgmrdOBaVuyN5KV7Jm95JiEIQ8I1kJfSb3yJ4VcBfULQcLMGTM+iAqGlJmRC4TGYUyKEWStPKsI7G/1czOUA+L77aLwykCUnI7DgjazyVa2TkIHnlyZvfWw+Yx0V7wwgZ9m59YZ0Iwzt8BDEDjHOdO5cTuPA5KybRhz6cgUCAotzrWW+niRdvQXFjiggqZl5L8IIXUqe61b3AYTfEmqzRV36BnTJ5w9jlWtnt2tldAhwImwF517wImRS8wRsUUhtsAWY8DAJlm7N9xQv4x380C4CA2LWVVVfU0A28AAIJgGKcWCi5xLAR2w3Q3DBVAiyY23GECruJjaiAA4DdwW6wxxBaDRREQOe9igiAXuj526sAgX3cQN6QR6IoyswUgJwwBlp5wAwIja9wYYg8C1JFBea0lmsBnxQ0mP/dcNgW3EAIrMQNdFFHON8cMhRwDY1F8I0bXJ//rBIrpQSGFQr3nU0syIIs1MKjqUUolN/5mUFwsc9V0NH7TcsBVAvTTYASmsXTWULUSR0gVF1//N8pyIJ8CWB+SYMyhYNeeUMCKuC5AVgswEESEADTOE0EzAvnrcEarBcGbkFXQAzdaFVbOVsAvMAVGKNjbcGHGeMVhNgKmhWxVMFYOQ0CtOBaFU8tmQ/0PYEwTcIr4CDI2BgP9uByJEcxNOAZmIEbfFkbuIF/XIHTAEESLmHoZYcIEMEPvEAXYMHdlAclsY/5uIZiJE0HlMizYEGIVJ8EaZw+RdG3hMEZDkHk0Er/seyQacSH4IyEieCheQgXHXrk7IhG7ZHGiPzDZl2K1czQaXBRZaHEZmlB7dWBx+AgIRrit0BXpZUCK/DYI7hBcFGStOCRHVHASClRBCCAAySAAkCAEhhBHkiCJGxiJ+ZiFKzQFozGHVyCLMzCfHVdNOgXKuoVmQRVNRgTJFVCErTUAxAMBXDeq6yB/82HwwgAeMzGC5SSMEpKAETMtZFBMl5B81zBC+xJV/kdFcyNAIwY/hjMZFAOLyUbKHjjMUDeDk4e5YEDORSDOcLBEpgBabCQGXjBFdDlD8SjEjIhAyhBdtyjCnkB5ICTgbCTpHDGa0gKaLjcODWLGSRBE2hc/+acQBjYJCDEARvM060UDmjQChyGSMQ14g0sX8lVxHZ95HTCjmg0y0hWxC/1hm80ohdBxmbhmUZYxkdsVhm8pBbAhTcCA1HJQs4918WUwimU36XcUA5Iy+uB2mSglgaAF1IqJQuwgCU85SaaFyBMJVyKRh84nnx1pX7tlQF6g1iO5VCdZVg0wAOo5bxIwKswmRdowXw4Sl3e5Z80yl7+gAoBCGn+QGAO5oUV5mGOmCYZDwUg1dsJByyAo7qxG+W5wztcZjEMwyUUGBaUBgtVQWiO5g8IgWkyYWqq5or6hwulHmyaD4lBW2joFt+RRs3pgR6w2W8CpzXFgR4In3HezP+esAbuPdYMOafqjKQcbpIH3Ax10mm7eFX1NSIWpEYNKhs6HiShxAfrkIjQkGR27p0W2AB60sIrnMp6xoKVWFOkbkJ8Ys8ZRE6C0EzNLAkFjCHT+ScEQACABqiAWkKBHigX0IcT9AFWxkIxkOJ8IcODQqgj/VRdBBha0iLB0IwELBmTqZB9/KLTvMBSRY1toMALgFiyUsEyGmMz3tLPpNKHTSNiAoB3RUAE0Iu08BIclFssQB4G8SCP+ig5DMMwVEL6YYGIQFkZeEEJNo/ELOm+0WNqggERAEGTXQF/QAFSUQZAohhTxRKxOM4OkcZu6kEcsBkUReqYxiLeFI5oHMr/wzUL/7SpRxCqE7RhSuEedNZpx/4hxLnQC7VYspEsOvKhHFqEDMTHSJIkDqwLopKBI9CCLzCD2bTnJkRqpOLBH2CapSZBSW1GfrbEkSxR3IhAUiplqAJoJAioJGhCHhio1UGB0bwJF9yB42VmKYZDAd5XyYxMUE1DgJ3B0lzrtSILAmCoA1ybbEyjfTBGn6BYBxypW8gBiF2BligCM/4ANY4YnUCgCSwVCjDNwEQFmVnFtpbbt35NuPLo2JCruZ4BZakraQRICTaAA9CfvPKbk7oK6XXevv4sYqiYzqTS/7AGU63hbu5AGnwBIDyXmHZpw+pp0HDEm5QnRlhGF3lE//90kXN2ABzGx95VgccS70lYZxlIFlLZSs3N1VwZ1Tidxu6W50gO7z+EFWkgqqL6wjIwgy/Aws1CmkdZU9VJQRM0AdASW34SVz4NDP2B6vsCKBMwAdNKwllIj9QmQfzYQBlQ0DceAziUItiJHV+UipjsRdkJqeKkXNIxjazQJV3SzbDArS7NABfklCLIwRzQgZY4QiLIgRr8wGwkZlfkEbG8AALEzVOIFCXS6BKcgR5cwrlVQzLtaOOS4+NWQrBg73UWZgg/QFMgWb9xLodyaBBEAXmAgFbETMN41SpFCuo6gW42weo62usy7Fyl3wwQypt+Z8R5521ihEcA1wzJ4f/iPVB4Fm8ag8Tx3hBSKa/bvV3ssoEEdefuYkGmTNsqXcTQiEYiqAIxADIxiKJ78lM/sdYZRoABZdeSkFk+8af7vq/Syi+AWoL98gH+Gg0XYY8odgoABzDZVQNeGPCY8AUsTg55cNrSyMYDQ7DbTjAFpyMGywEd0MEcyEEiYDAIB+YIC+PRMI1TQMVIucQS0FUMz0LIPGhl2nByYKYsVEIdXCcZiAiHeZhhzgbTae4QEzHAHXHoKs7odpVF/q0JvIABeUEUbNwUuG6kvgGylSwp0W7ugqf/vBybinHDdUQq/dIZq3E/u2n1dVZLKO8QEGdBE+eDRa5HTA1lLZRF9E//yylCJ3SCLtiCLZSClYAfUhjBRl9LCqTAwNCGCRQJI9dEVBglUkayJDMBgG50HuABH6wXFCQBF+DADfiHHVw0T3lyNIxDT49DKnpDcgj1UOtFX1xC6l3qHtEiK0+jsFKrKQnQDHiBHWTwHFi1LctBVhsjOSemZ5gYCBhlPAYBVDQBSRGzjJ2bIiVzBo2NUDOHjwp1MVhe3zjLhhFsF4TmFRgQr0KAEGcHGKBBYAu2EaPyEX3bZ6isFywdSDtN5wXBF3g0m0XqH8h0EvRBbwQLY4CVZZSI9Xn23g3ORwzaP2DY43BBavhzamcn9brhkugAPREEG6SBQQdd5OKATMCE/0l4gRxkgij4NvUsF1EUxUYbAcA0CAIQzEjLCFUgiAk8QAKkNIAagAEAKL3yQS2vVx84zpFewRrggZUIQy3Imk/79FCbt3KQyjQ04EEvQRLM5tK01Gwg0CpTo5+8hgCZwBVYBx1kAin4t1VntX/cAAqQmGYgyILcKxAEQWU7GAzPQis0ktfwFTM57nlfJjhMw7kJmB+4gY/pIStdr4eFoNGYwASAKgtsrnaEQfTwwfNYHXnE4GF/BggsXYOcUKkFAbYorCf+QRQ4DphZTRXAjGIwRolU30n+RmTpjUiUtuPgQAmotmpTH0myH2wTRBrMdpf+GrBlsSQi30iAQGjSAf95jQInBLe/EDfAnNBaIkgZXQBJ0XgDJGUkSzd1o3h2XLccYM/5eVNoeneV1EKgzxd5lzehj0NyjErY+hoWP8EMHA0OxLcA+CIES7piKsazbkV+w1Qm9Ld/Z0Ity4EXuJoMaIac3FIADNACHOG75itVnUHiRrhepWIPMjM4EDo5kAM4nNssNCCHe/gM2cy64ClN07gDiACopjgYeOJLt/gVVHaMQ5sp1Xh3TIDmbI702IEdIGOH6+ENjG5izMmbFAqQc2cjTpUnjUR8BAvKRrk/a2RFRNQQEEQRFHQc2PuY6gFx1hNsVtJI2E0UdDdMTY+Zf0uP9A7GncCaY2ub00v/kpDUAOglSsOvqAKov4EBTK/XIpxfH4CmMeIBdAW6ePO0oSeHofe0PCTHrskY3EmQe5D4KttlCZywfHfg0rAg64WmGvB3p5MCp2O1gOeMa7CgCbxPaNptvkYBFLAq5OGVKgZ1yZt8T9PXLMgCJsABhw8hm4Y4Czl5CKAtdCM7vS67HRijF0DBE5RHJXlgppNaU1j7CZzaztqB9vQle5QGDgRklYn7uoBZb6SfraTeeVQEaluECYTgC7R74sN7RMV2vd+7vRc0QdSTP05OSIzHGexHFPCs9FjTcvnLUCC8wk/LwSBMVaiVXl4u2CttxaOmEqDBGrzB1QrHxtcBLv+B/+uG/KATuoXbOnmnfID9mjC52suDBz7ukAysIAdmxnwLq1V2gc5zOinogn+TAoA7GaR4RrCawD5GozIao9VdLY1xTV4t7tOTdzkY+nwJQ9WfgiHZPboI+/Hvddwg5bG3vkvLfQiGLCVZIUB6NUAQMBFBgoQKJxAmPCFEyJo/iyC6cUOGohMZJQCUsOHEyQ2PNzhSJOPGz5kzQ4YsUakjR0ssVZxswfHvn4krN7t02UKTZ0+fP4EGFTqUaFGjR5EmJVqAQgGmQ4ocScOGjR49cbBiTRN1apGULT00LeATRxKTd9C++fMHDyC3hgypkKtiRV0aNBRWkBCBwgK/CygELv8wAEAAAQgaOBABgTEDx0ogK2l4B04ly5X6ZG7T5g0gQ7VAR4s2jnRpcKfJkTsNrrTpWbNiXYJzx08dLlxAmEDc4AcVLVu2YAQwnDiAww14v3BCpgsVOpky6ZJOivocOmqumOgwgLDx3T+6/AbOnIoaOle83KkU69ixadXMxXc3/3TpcvfxlysdTZiwU6dsE0lAkbaQQQYTDJpgggceUCyyPPDA448ovKiiDDOwwGKGEAhwyikCCOCOOxALIEiChO5CiKE1FvEjM0ckIsMG4TLayIkqbpgBpOUoKuOMJaBCaSUddHgCC4pkoumKH5ikQqedlIpSyimprNLKngJrygP/qIqYig04ripEzELSKNNMNrwikgIPPFigJyigqMoqONRiq623aJirrhVSTEgvvhbwIIJB2VyAO8N0U6yxyCIDA4014KjssjcicqMzuEIbrTXTUmNtU9LAmWaaWGKr5A7buMBBN+R6y0kLFAIIoLjhjuPNyS7ksC466aSDLhM6rstuO1q/u5WinMqbQw4v/KgEGPdWO20+d+obJ79ry6EmmGBwOWWRPrggg6OQRIrJQN0qmKACBh1UAgwI8bBjkdu4KKMMHEHoMEsPQui3378o0CAFFPFaSAg15K3DkYUnmpG4EnjsyKMqRLr3CSC9SmkJIovEogxxU7WJyVaBu9Lk/5NRTvkoptYsICwuqYIjDjEJIWTMMnfIOecmmlggiZ+T8MKmIKRgYwes9FgrQrfwlGvPu/pEaK9ATSTU0AEE0m2CxZRgwWuvIXMUjzckreS/P+yQQxE73sr007c/Pe2caY4h1bI6yuACCxNMOAwBKgCnAgEBBJC1OMMQ+DtwXTPZxXHHfQVWjR+yM0FWxBMPXHPA5ZBjkTvYm6Za0qatFtv8tOXWW9uqqMLGcTkCbgsbdCuoggoYAuPdCPmQF1wuzLj3hnxZXtNfD3QAeggpBkaoTyGIQNgORRRJBMaJLBoO4opsQOEGC90wA8OLUdJ4YyJzeOJjMrbgwoTmAM9JBv+V6a/ffitZ9oCmsCxA6cuZa1azMRVCZzprAtB+FoUrBCEIXzhCzuIAiAjdiWlhgNoFoaYQCWhgARFAwAMagAAThAAEfilRgkQAma+BTQnw+sN/LHOKUkTIDnOwQ1tAUwvRwI2H41hNN7rRnljc7UJYuEEHDPMCKowMOYMjDnc60AEUvOAFfzNPJj6xi15s8XGfgM51mJQ4ARDHMIcZWZNu5YU6rGca5/DUfcZRujee7j6p69YiUHVEG+zRBh+RXYE6gC6GCAENaMADHxCZsMxgCEcd0NeaCNCBECAPJTwrAvMIpqKDqUFZ1XPEI2DEPuE4wV5OmJENyuCGOtThDBf/04FKYLmxwKQveOJyghZykpMXoOB+vfTlL4USGP3xhClLOIPMChFAmw1wgFtZwhN+Boc1BIEhYZhCIQLhlgkyrS1hsCAGM5iQDVLAg03UTgkBQ5B0iSCFXmMCE7yWB3jhoRSnMNspJsgHOvChLZzIlGh2CMdx7NBapgHHO9axDiDWbYh4E18VZECrJTIJOSEcIwC4AwIQaKSKDTDPJ7bYC2tYI6Sf+IQo+DC5H1j0cLU6o5O20IY1uscc7iCNQOkzx9NRw47e+t0MNoqC7mn0e8vJXgAQgDtCGhKRiWzRIlt3xA4xpQCRDIEOuMQzKWDSeQVjiBrM08lPMowMEQXA//fu1T1S1sEPJTnfK2GppjXlwGPrE1D2gJlXvfbSKT7xQA6WQBWaCRCbgVBmIKaw1ShEQQp6WAMaCOmWQWxiE6OYIB4MGSE0hEEhndXgXlYVwnP6hZwobOcKWzjPF/6nFHZaA8IixIlN6BCgorkWQDd1GoQqNIh1q0Rtguc6FAigikxsIuFQ0IGPTLGKCFADFkM6UpL2wqS/UqkYyUi43fCmVWRoQ2YqQVObWks/crwpHXm6rTvSyyNSLIFGQTCD9+lyuAgAAkMKeUhE2hCP4LpXI6f6IQJQEio8W14KmqeQr3JSbYl4xINhVKDh4CBDWMABDrjA1rb+iCUtaYlcXf82g5fYi0DAmd9eUZzilPV1f4AV7AANOwgZz5gHX1jDjb/whTAEIbOc8DEnRhEKO/ATDYjErBA8ewIEN09dFUjck/nWAfgKSgMS2FoKu/a11EboD28oxZfXspY13OSGgJjtP6OBrdoadLcL9W1mbqMFKkL5CtttIhW1IOfmKu45WpTudL1o3d4QbjuB/NuTFXerMmTmDpcQ73hJRy3ToVdb/jmFH7ggg9ZJTMoale8VNncFINwXDbvrHURQVS8yNBJrAXYZBbBavuVJIQgJPsEEvto5Tz54M8ARDgjKgsDMZOZHHp7BhwUzln+AxF6rdEPeCqRiaU9bSlTtycuoghX/mskYLt02hDfX4E1xF1kUmjCGMUYhilCEApFqaCpkFRRvvWigyulSEAgTpx0QEQC+IYhAlU8gAgYw6kEQAoQe1MLlN7zhDmcwgxeiwBbK5lA01LgWNQAaLR++A6FujgUsMNOHLSiRScLiW0Ur6iRcUuHOL1AEKRonUuluMdB0ANwLZMUdkfWGikLFJRnKwFbKOHoaNZ3W0Vdz3p1W+j9+AAEAjNoRoF5YN9854w+IoDt54uFb4LpwuMR1RBEFODAci+USoBCFBCko1w5+8CN6XaBfIzAJaBl2sXMwA72HRSw9QeUqVxlcG1Cb8IUfSljY1JNiHhMrOwgEt71tCKYB/0LcYVgDH0QB0l1kQt01nANYr6MGIATB3n9qkzoXZM5Og6DTWCPIBAI+cMcM/EFjQ7idugw0LnjhCmvAw49Bw1Oe4oenogFHNapRn4Ny3OOwuHQdyDMyE+gotCnvAnkq+oItvNzP6PA+Oki6+V85aUYaDcHOf/ACG8hgC1oYiSr9MPRYFP3oSJ/00tV7CigQxga2HJ5GVSVxWOXqsm7LvkVvosj9wo5DBiCKJokpXukJJPAJcgBo0m7tVgSPQCkRODCX8qwKsABOtmrhSJDhOCzv+oXvhoknbKAKVgm4zKB1DG8GafAfji3v/ErEzsBoymQKuA1qJG/yvKmQMM9XOP/PDtJGDsoDrCbnJpwwO2ZAVQgCMXqDCkYIvjYKIzoAARSEnSJj9tzFUdaAbOAgzN7gDH7mCaKAxwwpDzSBE34h+IRvDo0P+ZLPh+bjHc7hHI6hGIZBFrxlERRBDsCq5LyA9yjqzrrACZoj+7YvE0Tq+74v/MZvEWXgBvgmcwInl3LCkyahEuDgEubvHOZDHkxRHqbFG1RR6S6OGn7hF0bBDryAMGSAI2wAC+PLJiaKAMFgy+zg4fjmBa5v1WbAAwggBG6gjybJA57AJFqJAoHm00TtvoQgCMaQUhZBFg/xECFi4aziG82snt5ACoZAB4zHA/JnBnzCBQHvoaqgBuH/cdpuIENwBCjmEWMuCSsAgQfuQvIoi5t4hw/mYCDnIKWwg/eWpOTUZhsPMUPki2/mqwuuMKhKACOQSlEYhQEYAwJEgCGCIAqSgA1IEAp+JgfWkJDeRRNU8hVfcQ6Frw6TjzXAYVr2sA+HARe+bN1yhQmxIyFXanAEAAVkAAcQkUm0TxF2wRq8bx6YchKp6zy84F5WJXGoCH6WUNccYRI+cT2OoRtI8RRRcT5U0RtYEXVeURNEQRa5Awc8QjgySr6Q5eqw7l3kCQ2eMH6ujwtygE1mYFxuIATSp638AEOACthmYBuX5AFwrYFu7MZ6bw3sYC1KgbIoszI3obXeYAh6/6ZlsoSuOIInqsANFibVZiIeTXOvYMKWhOLYXokNmgBMdCwMAEG2NoETJGiC7AA94vIBgAAxWeUKFCGUyEAL7IUwQ0C53E8LqqAw90g4AqABEkABCE4JGCMBHOABEOAjlyAk4QANkyA3JICatE4TLMESWLIlXRImlW9azIEPi0EYcGEUgmzdrIMJQ29knAgAgG3nrqADuKATdmEpmbIpwY+6+AA9KsQLViqE1K85zANY6EAOOkEVPGErY8EZvNIcvCEcwsEU3cEUObQs68gVf0ETBEENTOAtN+qJ4osLtiD6zijr5MlRgODqnIQM9HJNZoBiOqIDZsAM2KoOMISEiP/KRZGlARQkIQaJkHwPD0bBMn/sxy5TD6TgAA4gSzqTRwfvH0KTYYpIHU8zTH8JJsZlj4Cij0SMC34GCqRAx2bzxy4LCaNydgTAnLigClaFCoKT18Zj1aoABwBQdrjgIy5MOOo0AZAACQhOARTAOrEzAqBgO1/zZ+QrcXKnhcrTEnhhU1kyPY0v6aQFHObGJnEBF9Zt3UjBOiAUjMKocDLKJpaEClBgC0ihF9BhQAfU+0jqE6BSKncDAaryQSGUFCZUFbSyEmABGDD0HMYyLEE0HMpyDkvURLFjOwaASCuyBJQLw4CjOXixF3WHCMSVCJpEJ/SSTXLAQm5kHoG0rYb/tF9uAAdkpxGTNCFwjZAiRD5HIUr51cfaokqvFB2ZwgN2VFy2FHzcIBEU4RBvQEwdtpcMZFxkkAXHRTlvwyy2yi1UUiVpCAkXIRGAwwaai29wQAa0qwv2FO6Awy/RCcNclCP+FFDP7zAcwAoSFQZwFmcZ1TonQAKiAAq8s+GgoOpGrdTkqTw3NWl54TyLT1MMaiZFVYgA0RZs4RZuIROqQ1ULMYwGxwQIIFB0sQtQoAsyQSlxlUBJCjquIDxUBUHyjQquQFifg1gnVBEWYRKStSvPwRzAwRumxRRXEVuEjyU14RP4AAggUsou7HWqgF6KcmSyrhfdxQrGVQiAYG2H/xIE0LXCWqcKzOAMSqKV8m5HXRQ4eA8I2A4h2EkEdEcQXHdj37BfgUxCpKBn+IWYdtQWaeI2EnYQb8ILHjZ47+dGWmdLW7B1hhMEL2YJeEZjy1MTaEgQY2Q4X4BwCsciCacLRPN6bGmPOgAd+RIHQsIJ1LSDVqVmbRZnmUBnG1VBPjIKzgAt7iDtvsPd+OBoNVVpN9UYOpUa4iZagig2YAEWWIFqp6MTOkFrVaqiEicC/IIoc2Jsy/ZWz1ZXe2EXSEERusAGMKpEpvAHwEqfoIM66JZ6moU9oEVaUpEsyQt1eIpwNYEPiCDfFLd1Psb92mf3fJJJCjAyrOCHPfIKXv+gIkEgBI5tAl/Cc38EltIniVMFE6lpSYVA4CAjD1z3ik3qEzRhX3/MsvBgDaTgZ4LiBk7sH2TgNrwgV+bASYS3jVWmdWLwYD3XrrDgYoCmM8jTEjQBQh5iETajIsxqVoaD/UQzRmwRBSZJmOCVR7AgCUoLMdAXCdTXAGAgUUXAfRkrUiKF1oLgAZjEfvFXf/eXf38B48irNVCDHIpBFi7hEirhFVhBFWyBV6jji/RpgZtoUBYAw5hDAKjgEyi4ggt0FzpBg1EAo9IpCGrUfueWhKmjmNcIhYshNVTDvFqY+EiUcPOACESL3yislkQCeB6XhyUXMhLVCsCgGoXYQC7/jDWf6QnEp445JgIfKlXOL4qXlIpb6IqvmBJMShTks7K47GeToDSHYv3Q+ArqU2zduKGvZEeLlyZAEJxXrY7vGBDIUyVtcy0gIhHE5SIEmTgIeXo5IkeWkU1I6HtAEOKmEJJ/WJJzFgYg45In4CPJ5hsdq5OJAAhAOQ+QVpR5gZSDwbYEqjT6QxgwQQ/+I5ZnmVduQRSgWhR+hQ7GlQge4E8iYAZcVAt8GZjPFm0vOIO9wFpLhIF4WlixloSxtpjdoA+40g+/4Rt8KOmiNZsJFw/UQIS8FtjoESa0ADFBrUnmsmvMGQl0J53R4zZwQO88TALHx8NaYgLPAAtSJZAY/0iKvRAy+FkQKKGzTUpfLWstouAJUoUokjGHD5EK1nisHbq1oyTEYGJLuRQLgmd97oWyf0YKZnNjfWwTJGhCvGBGMEJEuEN7zthCBAQEPYxfiBTYkoB+821VbPZmc3amMfkNriIrvoCadhol3+WngfoVg0EYbKs1omFbwOwP1o1qm1oXHMcYdsFqoUMQfpgIhKDJJECE2M8GBOAKvPqrLZhXs6NNynrUeBJY0ppXdKGYH8GtB3gYhkEY5BpuXPgVz+0s8SA7vvYvdCReiRIhQU1zwAqmWQASrBgyKFcNvOBiwQJdJ5AC9S7GX/zCUMAEFuuyBymzE9V1s/ifARrMIP/CC2LQI/7hdYrRZegKJgzEBnJJaNBxHfXGtaVc8YwHKGi7tu2qcZ/bzPrVLabJBFCAiMdOykqAnXWEYihCnluiMFkPnQgChBogRU0AOhMVCRiVUS75AWw6uwshDr5AioVA68A7vMebvKPB4gbqvGPxxuwgFEhBwXXhFnbh3IwhGZJBF7CIvtP5vhdkcISyxn/gv4V5Vw80Ck5PAgxcbumAOiC9mD+pD0DB+fpjW2qr1rH5Fygdw2dxAP5iAdpco2wirG4lJ+ZAEGAaBkzcis+ZDrouCZZgL/0FsJ5d74jqiJ9pBmTAe3DAJPE5xyFgx/25x6F63SACj7CnHkFiOLH/gO/oKq32iEeqYC+bggVvQ0OmfMoHNigsRHzEZ32cYCaW4A0oM0q9PAiCWwY0at/4LVvfi/VAQjklsMM2RJI2vIMkAM7l/AEQtc4VNTJEwDqBYAz5PILCQIoFPX+Beml/YVuCwSWDgRPQAIRAGDogXdIp3dKTYRc+gRJcF7KE4DotiopsApiDOVcL1HCvIAoGBdU/WW5J+BYUHIGrJ2EX4RRwgeW3Bc1s64Vx/cJLFA+igDs8uKoyKjfilg7m4Pq2gNiNHWchARIsQZ6W3Q5chMP45RghW++OqF8+LO+S8cKcHceXNDqRQBB63MfJvQ76oA1e1JR4gpH3sond3Qby/6wLvIAC24QFtxFM7721WQwobiRDJBALxoUmnkDgKUtKvZxCgAMHBDZEtCdbHV7EsACyof0BC8CEPCjfXg/LppM6EyABiIAPXqiV9dHnlxQMBAHuU17lz/P5YVEIkCN6aB7S39sYmsHStaizeT6drTqE/uYFOsALJhjAC/RXFqggLn5kQG/VSSEUrNZqD7hz6D8USmEUcMHHNCEOa8HiAAogqAn8RbDgL02j1pgwIUFChAgFFoDAgaNKFyoYu2zZ0qWLGjVIlLCAZKkkJEGC6NCxY2cRlCU6FnggQMBDjps5Zuj0wBPnjCpOuCRJoiNKkKNHhThIkMAKyk9Qo4oS1f/SDZeNTpz82/rPhpMqVbDcxAK2ykYtHal48QIlh0SuV6544Uq3rt27ePPq3cu3r9+/gP9lrTLDQ4ECBPbawPKkMVkbXGe8KbWJk2VOmzbpeXOnTxsuXAwXGACgdOkSqG/MwJkjhGuesA0PGEDAxMOHEipMEKGkt28lSJAoGG6Fz6hSmC7FiQMIjRAhQKKrcQoJEq/r2K8b3P7LmDFNfIg0aECETqbzutKnT8Y+WbP33r1TEmTFChEg4xtgxNEmkzV08wQYIDroWNPLLpmQIscVDzTYwA8/EEGEGuaRQsotuOByyy0WnqeSGhDOYcdUo2hiYkHURBONQNRw1x1CaDT/1CACDy2QBGhkdNRRGaB5QUWEYChBkiWRVJeSSnywFMUSSch0mGshrIZTbFGSFdYTMOUAhQlXIPCAA2ASUR9KlJQJlShJXmGWDDJAVtcNZZVlgw1b9HjFj1TIxQUOCywQQWCABirooIQO6gQZYlFAQQF93ZDDEkvkcANdNizyxyiXYaYZHHf44UcdZ+iwKGmmnVaCDSF4oKgHUKqq6KpQgrAABRE0NMFuv/kWnHAKICGIKKWccooeeqzxHHQQTicIJdZld50xLnrXy7Sf0PHDg2rwcR4p6q3X3nvNxGdMmfTdd+2DVHDxiC3/ATgggQYiqOAcPwDxA4Uq0aFtghtm/4hLKB3qyweED96r7ycmnvgLiy26eJAmaNza4AMOUXAjGRhn3KOPEaIBRh4lFXkSH/kmuQYUTSqKGAFRPqqDqBSwGgKcVZhhBpY6JEGRCV4+MF6ETi1LiVR8zHFFF3vBeWhWkMlgJ4Q/UKGRULRKUOjVWGetNV+D5cDTX1LOUJcWXtgxCqaWZUbsG6e84fYSM5FaKmoldHDYYTQd9uqrPPXZZ626iRBkrsDtioRTooRSittRGCuEhBKOKQhJzvISrTHUfpIJHWpQocYcCZJiy+jqKWO66eDGBxV9H0GthhyKrGtNuwTCa80uCJ63uXm6nyeKesnY4m8onXRCSiZ88P8B4ngI/EiHIJ+USYkmBA3kcMJ5CDGBA8w7FIUXOm60RRVr3dnxxyVZYiTJSKpx8lB7F8DTyzDLPzPNVzamMw4h8NwAAs27F5miors5yIEKL0haVpzgpn/Y6QpRk1qdkuCBP23tghjMoKBsoBoPXE0Ga8kWHvAACEBk5oSZAcQboDADELhwNrMpFQBmcze97e2GfqvVc8AwOMIpgYc8TB5L7LAGpAABTPWpjxLyQJJIODESlrBcQRKmCTNpLhMGlEPxijc6Yoyui8QIYxjfk4wNieITgviIGik0h06owhbJmB3tZoc73PWOW91qz7dwISxWsEIRnQhFKOywoDzx7Ar/QFADmaZHvYKkzyAlMVEewPC48TwAgAi4EwJt0KYXxAWC58sDyNR3kiNxTg1BQFkThjAEC7jyVS8zDKtmYCWggAULWBhKEnKwEAQIQAAvoMLzzNS7BBkQI3q5wQLrwgUs+CgjZKgTDjyowWpa85oaxAEXvADB6KBhhHgYxQk19QcoOIFNOHBhCGIowwHY8IaKcqUFDiAREwRhh0ESJeHAgAY0JI9kc4iOgxqwlAQExzche2JJpkjFoR3JgIpQhUQlKkZi+JEVFc2oKoyXr46qxEKdWM8u5EjH9ODuQMDTIzZWytJmDOMUsDgFKxaxiJkuQhE49UIOHhKERPKBTFTU/8QjHVkSUfKQCD7Lj1J9CYAAALBgoRSl+vKAEpSoAQhXiIIqh1CEIlzgAq+MGWKqZKU5eYUMZWBMpHhpggA0VZjRu6KFuGUhzlFBMQ2kS0V0hLGN4ACbgA2sYAGlzbUgYCvRWUM40Za2PyxiIzKYAZQ6wE7T0KYA8HSVBcDapwHw7J5C+JgoR0vaEbLklOfKz1JC8hsWEOmJULTEwxJWVSt8BHae8AQtdusLXyxjGb54hXB9+9vi9pYWGyWFR/MVOl18URe76MXt1HPSXdwiGadTBku3iw1iDAMWsKgEKMZL3kk84hF9GMpDEAC0qiYsfQv9BXwtkYcfCiGpSmWeAP8AIAAE5AdCROAhaUVZVTXcJ6s5SMIqu+rVsK6sA3AqQxmqYAMUeOVQas2ZzkCAmi6YByoJ4qIujmdXpAFKaVvAWEeqMKnBuvjFhHpBAgPltCqYgC5XWIPZznaZTTgWspIFAQxhWCp3ugqe8lzAbBYigR0OeMB4GCJq82tQGLDgyliGrRNLYoz0URUl9SHCD3C72zL39sxnZkZxl8EMX5R5o3OYq4cqVLyJ2gK6uOtWHa+bXe1yt7vfBa+gwTve8z5CKLz0b+TcK9T5Orq+lLyvUsH0vxeU4AX+/RmQnvxl+wABAQtJcBKWwMpWOhgxIIjwhG1QgjYNRkq61BlH5HD/R+Mdz5h58oLYAOUFs+ToImv5K4yHTey9yPhHgmqTXcoWirM5uxSLSIRfQ0DZ0lx2NJYdAE/g+arRkKYDBNBhPjmdBzwkaQ4fItj/GpAAkWD5ylrecvqqYyQwixm3udWtmc+85jW7+RWsEKQg5ZwvN6qCFp7YqEm7pZ5+NUMZYlQGe0wXRuC+YtCDBoUnHHHePnDzWg4gQmihZyJHO7o3IngOEPBLaQQ6IZj/3fSTeQgdUNMkBElozBlgktmZZQVjTrjBDThMNw7mQAdDaMJQuJAIRWhxrrc+jwG7sJYE70UGW9ACXUxQBS6UASM/yOpQik32snPlRxDS2gyYLXBB/0Z7CzLgn9zceRglWzZVR1YZYtg5Gz8FAQ1LJHfy5oBu1F7Lv1YQCRMWz4R4a5ne9Lb3mCOa79zuu9/+Fm7ABU7X85DMjZV/I8O7hSF/EWMZxJA4diFuceFiHLyv0DjHH6EICDbgARMQAhrygLBGO1reSmBAylWeX/10IUdUUKrMSUtzIQTBBDBkGS7NgEvJHplVyjwUGYLewrnZYAZILwIb/OAGR5i/6cW7Ncnk0AUtcAFLOdHLVXIEFy+Y4eNhX1ISzM7/YqddazjAdgPXCezXBTbQAetEGjSkMibwSwEQADR0GFTSAShQApa1ADnwd+RGVQCFbmoEIVTgXyJwZf+M53iwBXn1lkZiRgWKkAi55QiWx1vEhXnAFVybN3AjNmed0IKGtlF3lh5b1Am2UHoZQgy+kHqnc3q9JVwX93qxt3GP4AiJwE26oRtCgAe9Z3KvBUUswADC9xzioVTQdBHKF2Ck1RuR5hAh4EIuRDMLxEF4xxP3EydDJ2SmgRrgx0rjVwezF4WAVFclNkFL8ATxlxcpZmJbsRb4dwVBoFX994iQ+CYtthVZUSeggQNY5wVyADqhc0xUsBBCNhsE4De0gkkCAIGieHNRMgNCx2qlMRFY8HeCIErY82Uks0adgxFdshskaIKPh4JWRQQOEDU8GIXjxYS9RYO/xQzOAAz/pzBwUBd1IKUIHJcIxjNiBlc8grQhtwBGFVWDtMCETYhxr5BvUrgIUdAQVsgH7/V7sHVlDKAEIiAC3PM/GCE1aMVNZSha9YVyQuAQOgEaXFAWC7RAqgElrqETWKATbIgDQicDqBECR3cGnTIJfegIOEWAhdSCbdAGZnAGhNgagfFJn3QUkXiSGcQogTIYXPFzaAUW89cFm9hRc7A8oBaKCxARfVKK+mVtMNQBEBYWYMFqrbYF3JQtfBBOnFAiVfUhIAKCHeEFEoArLNB4TiQJWOl4KAgJtqVuLJgI5zUJxzhcyshmzOgMw2ALABONHbI7sCOFtmZwqnCD3HgLzmUL/6fHDG12XOLoehmncbk1CXcgBRogI0TAjiVHJCWBlYzpRExwZRAAASKQANyDQB1BBl6nj/9lhv0IHAnwACYAi1ggYWDBQBf2hkAJlHjnNesEACUQJx0AAh0wA09wBn4glqBgfufXdDjVEYlQfm5QBzdzE9T0FxAiF9wEBCi5nFqjKl8DGNrHYv+gNBhTBmbAI4foOR31lP9jArEpE4oyK7WSVEwlQ6diA1VAmnOCdbOGbsaBKUyJEk4JlWRANhFAlVbJmPr5RFtJH2GXHxgBlpOAm8g4gzToDGhpC7bGlh5SNNRojcYDenMpcHbZLV30W2fWl34paOQVmHfQBBdQmP8+lZjypp+S8ESPCZmUaXzRVCf3dwUxx5m9IRzcMxHNZDM2M5QWpn2miRogQAB6s3eumZ7UJ1kzk551gJsW6Qjlx6RukDFuAJxukFY5sCqBEXb25wU/wJxcWiissWt+EZ0shj+4hEtXgRZop0b2kh+gZgJHhhu5cUm/JEOuKQNfQZoM5AQbQQZORwokcjZoJJ+cA4IvoBFbcAMmsBsQUJVPZKJZKTKQ55+Zhi5g2QcDOpavkIxrVlHDMAxetKBsqRIQVX5Ot0WAJHC/M3ob0kVLqKGDVgmVcKmeMAnp1QQUEAVXkC0kKm9biKIpGpn0CAReEE2gUQbchHbJIlozSpn/CGCjN1qmN9ABp1KQPVoC14ZtdXpLkqUTSDqgA1oHdRClHSk+GxGlT8p9ogEoyHkFXdqufHGadHEDZUoWeVGcXeEEErZ9X7EnQ3ETMwAaaAohQHAsa8o8NJIzUFArDdEQC+FWdJpqVZAxpbmnf5gJJLI6gnqPMsYmJYACJvAAI1iVVtmojQlFVVVKy/NfVFCpSUqgwzWDYfRFXwSq0aiRsJMI54dTcrCJUJcJeKYefioK1mULwwAMwCBoRnu0wgWrlXAHd/CtdZBzT5AEZcMHTNREvKpljJei/ngFPNKRbpAIaYERHzGL/SgCE1ABUTAU2oRLITkDsYkCQketrjhk/3LTaqrhE0h6m5PgKWdwnX0lkEB3TlgTF+56uHlxVgy0FWclYWZQBcJWF5hVnOgpYWWAMYSRMjHjATqDqJkmcioHNfkRBAmWjrrREBAhN5Ylm3CSMaRJscWjC1MBFfORsV3wAihgGgHwS+xmZVsLWyVrCVVVYKlFqehVB57isplKXF4kcFtkId0CdQTYgroZpTkykxVyPHW0C+lhsQhjDLgwDM2ItAgKDLEnmHDAKZ4SrhMGGn1gBz9Fb77omFt7ZfLofF7ABR3ppL/mOT81WpHWiLqEAzuxudTWhtm3fa5Ip3MjkTrgGGWAvH7gtDv3BFjguhNGYdeEWYh7uD9nmv9nVZ0TNol0MblcUbn5SgY2dhuv0if9k2kOQLBQcy5ZBQVGUQEV4BCdpbolgMA/Z502M3+AFFKZED3kIqid0wUQ2VS/JAC9ywIGYAC/e5UnWiTDa1UzTIws6ym3iam+oGbEwHlQ91zpMVc7OHvm5wZ7SgVzQDKhkwnRhVK6UMSMFL7jCwtGW77n67RsQJGf8qTR1AZ9sAjxu5UoSL/1ywL2dQX6W37jer1tbLai5BxH0RYMGQKYtSg0oU4/sTQLzMCmAQKP0hg24ykUnCUXLMJDeU2q0sFdOid065IZXAV30Sf2inVe10xYYAJRUCsPQQF+AwL+0wADq3sfCDVYhRT/QeAQEeA3tEGBbeIVQLFAV3IGoOEGFWvEtTu8dCAXbIICmPZUCWBlUSzFi6eVi4RG1nIvVAA7ilB+4MrFXVygvqAKA8dcXPSDZUwKbjR75kqxm0h4xgPH08K96WHEmmDHzZjH5QsLryCYd3AGEt0pgLsFgkzIk2PI8ovIiSyPwroF4gq2Tqcvy6IJX0bJQRABJrCGIIBZeEMbNeEBncxAFlhktCE3IECbEm0GpkzBEEwGgGy5pBm5gYIDN2YXMmGvrhyJbyh02ecEWjDLJMwVd1MX4gMau2RB/+AQB0BPfcIzrpMtp/SUyHwUUnDWOeBCOVkAPketprkatam/GNkJ/+cRPSk4vGqQvzgAc+K8qOVszloJCdKjzrd1szgbnBLMxaBAzxs10CqRCXKpz9ioCp5wXoBsrry5swMdxwatC1GR0OJbvgja0OHVtzoX0X9bBhbdBorwPBltyFq7tYzHAhBABIV6fB3ZBk0nBwdDu1UlIZfknS6kKodBWUAqPzItdLGpunSHrSUgrzzd0z49muYa1BEMro/bF2BBF1gH1Uf9D3UnE0u9nMq0fSzGitqHVkV6F6uikiesfVSj1RWgARfQ1eKJSPeCL/lC1lBj1k2gdNanKDmQyhnDNCiwGg+cBLo90igRqVfMB/mLfz/gJSLg1+V8zlpGSoI9NLsDUf+VncbxLM+TII671dgkpi1uhFySrQsGZ9kYE6XmF4Xop70FrR5F/AmioNCjPdpGC16TUAeMcQbpK9Ffy9qu/doo2KtbG8WLR9sOgACFGsi6vYnJExVHbB/BHZrgKYcI6CoyI5sJaBpAOiqlIQNE2tNDTuRl0KSADNTIi90anBdw8riQcWEKvBU2pNTj/YhPHSdQ6gbrbRfOeRc6YgI5Kd8poAGKrugS0FP5zUaEx9/HGQVJNxQ7wROdXJ2lOSdS8gT6u9vJg+RXnBLrCjUMErJ/bc6QoFAaPjSaQwcejnBRaH7gGuIjzoQl7tgfZXBepB6jY3Bp/OeP0AZ+ONBwnGf/3XsmRLvjO97jsPDjH3kH6RvRZuAGxM7gDb6VWyjbixfFTg7lXaCnHZkI2GvltetpbToAO7kq29beNEETzH03BDAb0I3m6dvHf2sGtX6ubl7rj1sFMoAXdmq5BWnewrbW7r3nKKlqa17dUXozev6cePGJIbAAXHErJ3ACKbDxKXAU9vLo94isEeQF+pdz/vreX7GQVsJ9tPTpigC/P8UsDv5QcaFGcREEIgADqW7OI2sSgg1iWLSDqsCEG6ebtX6piy1cJU5isK5FQiizXyRRrDBewd7wHfkIM+47Bh1152ELvcXsPA5eleAHtint6huu4+502ZLtkAdb3N7t3/4C//l7FRwx0nRAu2VCYM5xBQuh7rPiSvTzMl5jGPDeTjANpDYx0U6bvoyP2rZJ9o+bFQ0/paQJFlN9YVF9uYD8FS3kNwrvrunJ5k1K60+gAwkfKLqR8TRAAxl/Avf08VAjNR0xw/honSAJKYXYFZzeE7V0A5y0p9wEv3lQRQ4uqrBOeDXJiDiv8zsvxawOCZoAFQC1g57Ql0XPpC1LXh3qCRzV9BmZHqw6UUM/XhYZpY5bBsSe9VMxFXK2LRL19aN9DMdwx2M/wUw79uAqpca69kheHRwNEEwECjTAAoIDBC+8cGEoQ0sXOXTofPqkyWIejHjQrPFiYsCCBRZEDiG5RP9HjhwUChQgMADAS5gABgxYSWHJmTtwdO7keefMzydPZtyw4YTM0TJJk1apcqMEiqJOpGo56sZqmaYhPFBQ+c/rV7BhxY4lW9bsWbRp1a5FW6WMG0dx5TpyU+eJygJswyKoMOHECRo0/p4QUvjH4R9UqHQh04XK4cVbJJfBEnRJjhljC1DQ8cQMVhslZMjYQsbLmjV48FjUBMm1IEF05MyZI1GiGjSFlcAw0Nt3b4GRIlmyZPGTKD6yFXny9Mq5c09zHU2aBMr6dead5vDhI0fRo0SddOmyRcyXL1rpab0CRT2um6Sf27hJpKgTKVKh9IfC379TJ1XS8wUYZwp05hj/YICBBZZKKrnjjgYb9MOPOuRqgyEv6IBNENc6FI6ggQgqSAGETPBiIRxKsMGx2ihiDaM8VOPIowUOuOCCInIsSQcduGIpJiAHIGCzJdjg6cid2Fjishw8COEGqZAyY8opq3DChqiO0tIqurCaQSu89BJzTDLLNFOtG9yCS7qrsPBgJTIlkFOCweoUIoggrvBKscUc47OLLiTbgqnKUCJrSA+CwqIKGUpwFAcsokBNNdY6hE02OeSgojY61AADDCVYYOE3UpkQbjhNKEJOueaee4U56eKirrr2HnFEkdnmkCORRzxRxRbyzFMvPesmqZCuq96iz77/QllEP1IyIeU//0VUCXC9VxIEJhZuF2QwQnAnrKOOSRx55EIvatuQQ0gs+ZAJ4AbqDQYSEzrRCxtkWHHTiT6h5MUY8VgjChNqvDFHHUnisUcPXHppJodf6sCDHJZkg42fMj7j4ovPMMkDijGD0okqsKjM5EWlinJLq1omo6kvQUbrhhvOtPlmnMk0qqo16SLjSrDgZKuCOSPQQIoUUvirsCAkiOArPudQ7AWqb+ACBxxoniEztHIICgcQZBoAhBwkTQ3GPCBZlw5dAaVCDTWsUCLUUUn9baBIXFM1OTsWsc45WqKLVS5yi42rvkwVictXa60dNj3B2bSqqvoUsdzyiCRKPBHm0ntuwf9KvAU3wvYm9GPWPtDNXCJBKGlXOEjgNUDeeUmkmoorXrBBMhbpEIUiSoL/RBCNgogiBIOPOAJhkprnMYewXxqygIgB6GCGim/S2OMlu28SZJREvmGGoILa2sqVk2rZjaNUJrlmsJ6UKiyVc7b/fvy92nnL99wAOuiurGUCRIsABQ7QhCJIIQiFuVMEPPCV3qmhCy9Ii8zG4rUnQA9iC6CAFNYQBkCgbV2C4MMcFFGat1kBCaKind3uprdMZIIOfOgbdiK3OMFVhVblek8iEoFD5njiceqJDpfYxLK42ApXM1SOuRwRROaUzg+jA1exTLfDR7gBV5xinSbclTfZ2Y3/XghBQAMasBijdOEK2+EDRdxIET6gwXhQSEITlKc8HSVsSdB72GZY4jBHjS97npnSE7q3xxx4BSVM2hr29ri1kSFFfe8hA5aiND+vbMYDi/oZWIzihPyFUpRiUtHOVEYGl8lgLBQYWgUICJI6KnCBTaPAAsDyNjVcwQtnARNXVPLAr3hgYVCAgglM4AEOSko1ItzQDNtGBSKoEAYsCJELS6W2T8iQhn2j1eDkwj4nuGFW5bJKG9rwCFvBCp1CHGL/Wta/LZ0TneCJSHK8M89YwccMfoDQ6NpjrHEVzjpKzBRt7GAHPuThi5CAQUNF9Rt6JaABDqCoA35wryuoITlv/3Qjcg4aBSlI4Y7LK8IQmLfHEEBMk9R7iaNkcAMMLqpk5StfIr+Sg5NgZms4RclQslQyLJihDpMD5T+K8rMr2aCXT6hCJ7+iMlWOUqpTFQvN3IelLG3hZnNyWgFgmYSy4clpwLwl7kwAgrJshSsisYAvucKjJPAoCngKAh1zEAQ04AFGmqDE2m7zg2giwaEhEpE1DQCD2NDhoH1bxDi9SZctcKEu7mGfG8yJzrnMk51EdOf6PGuVedKTU/cM7TclwxB+9nNWhBsXrdipik4cFDVrQINCLcHQhjqUBbmNaAJ861siAOEKVwDCD+iQCTf+K1Wi0M8fnKuHkHJMumwYwv8enUQARHmgJTFREcpkCtTKmC8sPUVZ+GaAPqmUjHyeKYNT9ee+KsxArTnAQlHBki+q5je/TKkClkQppwhEIC9fwcEMoBDgAJM1LMe0YFi2wlYIs7V5TWiCAmcbBS5g4QpogA0lgNfXS3UqmgqAADUF0lDChlGMSFCDHBbxYtNRKKDfnBxDuNCGbyLRm52DnOAmJ0kzvDOzomUbaUN7FUFxYZ8yrpBn5cJjWqgiFAilqxBAFSoYQIDEEOCylhWw5S5zWQR3CkJxj0uRXhiDNaLIzyhGsQlA6IENTZCuHuSspMuAbCUFCEGfZxITGTgBK/EdClPKQCUsiGUG3m0kep3/UDOt9BQHUb2vVCjzhB5RQMH65bR+q/CZ/o7SabW0ZVjAVIBNh8WPq7TAjVz9aoQVgcIeTI0domAGL6hBQ61LbjM7ZQUrlDheTEBxNa0JgwQAwQsv7kMfYiyuJrOPDFpwS5Dh8mNU5rNnUIzcj6n96bfECp2JmE2RFWcrZB26v1g1NJekXZW5CPE8Ug5FboLwFxGEmcsk/vKXkQBmUYmZaQ8wLnLTbIxf/MIYtyCPmzmxiTfAgcJwsLOdL7akTKuEACEAQQf8DJNA/6wpVtXSUsZiMjNggWtW+pkNvrLqshTl0BkMU6dtvl/+/g9/AAZJqck0YLFQoNWvvlGrY72D/x2E9A94sANHrrBr4bkxxL/mct0GMk3CHlsBCXjAiV4M4xgPtWWlMc29EmFZaQsZWUb05vqQ4hZlZdac5K6NrhRhlcspAis3oFrfqYJKbAP+ybTwBTOIoZ/cTGACImBAibPs5X4rAAmCnaaoDKKEMQtBuE/PxC4OrvCFj+cWbi7FG+6QhJ1U/GJD4JEv/yikPnNcNFF5X5r2N+ixpIkp8NN9U77io7OQLL5Nunnx8yt8QskX6GZxglbP4jQBw9JQZqqfV4R+Iwxkv+gWyJHy0vD9OOjhDwddo4b85WE32uY2chP27FLcQt/kFgIimEAQ1rDYRfih2eKa3BbmnqnhCv8U/3Oyx9I2wAu8A5wncyIDfpEaxtiiTPGCLZigP9ECsjvAyREywluGw6s3IRABxrO83YK8L+MtEWSBuRkz4fICiBCFgzMGY8AFXGA4XbiF0SuFU7iDJuCJi0mYttI0lpIJVPOAGXAf3VMZpUCqsqi+f9gpm7I+rjA+KZzCsJC5lGuSWjoLxpAMsPiBsBi1BRgARXqeMjkqTLq+C8g+7eOKIrij7yuEOIiDN1iENXi6fvGX9OsUNaiNuKGbYTO22fmNEZw/xcMr7jgo/XO2cWkvMvC/NtgiOliMRpyPAnysH3O3d9sSdDInFKo7SVSE0QoUx4CMLSQ7TNSSbNtAYrD/BQ/Mt4cqCIOIPAVAMd+wPCUAAxEggh+4AlQKBVGAQRiUQVxIBmIcD/04BYnbQTjowRzZPo1zGJqgAPrSAqmgGduTJKzQuQrSNLAAPir8RikkGcrAQp8bC0mUDBt4AcVAjK/oKp8LnzP5pEeTr+tTwxu5PjdMAziMgyaAgjqUCOTiKImgDT5kP6vLOt8II1HJMhAsRDQ4xPzbPwphRKtAnDmAG0lku7brmbVDRbdzH1TyIR9ymz2UoKPgF7YBlFFMjFLcmWvLRLhQRcQTASUosboJOFmkxVpEQVzUxSvoAjcIhVsAxmaQQVtQhmLUhU4IhRyks2WkrmZ0RpWAxs2g/6/2scamkiSmcDm22AyxSDVwDEv9IpmtARkPKDCyeIEuqIKHUMfhesvh8gqnyR/3wYKUGDpXY6s0zEeka4IziILy8503kiG2oY1fq8mDBERYFMEuo7/6UwP8S0RxaYMt0KJMAcDhUgzvODt0m4vPWrtMrIr2aT7JaAxcuUw+UQzGcINy05zUVM1G/Bmekba/gwt5YwX94ANQgYDKW0gSnEWdhMUU1LyftI9b2AUYLEpbsAUaXM5OYIVFOAOSWD2TIjqRmEqXEBI+wwEukIymYIq328oxKUexLM9vvB6TqQITIIsbMIErOIzhupcT0RMxARnyHItSIhlME7oIG7rsc/9DklqCJziR2uADUUAO7lC/gkQCm3Q/+BPBx+uyBHCABxiur8u/GEud+Sg3O9Al96w7OfCCMsAxyeEZeCIDpUCvkevO0oAILpINSfy/F1WDqaEaEWVEbMRRLnmtpeQD9uPNhgqzyJubV+yNy8s8IGgxUqhBYiRGZbBB8rAFa8k/j2meqCS6C2irIJwJEAAB7uQClbExhvAv8yxTM00LG2AKMxDPsXBPIHjTE7ExXKPPtdgMbkSLEtgZu/SRPnsw7PvPO9KRJOACL5gN7jjUQx3IXwu2aXJQFQs4fdu3Ca3QZZPIsEOnJeKOKzCBGfAChKIhLzCDc4IVSuIfn8HGdSv/gY6bARzgnbexjeSYgy00p1tZndugghcYDXDD0UNLitqEi17xFe3wUQaNVBJEgrkJFYgSuMLQNfzQhSZNSqW0FkdwNkwjCYTB0rx0EiDpUhxgORRVN208U3ItV6OSuaToTkr7ivYkrhWUUy8YLi9UC7P0gKdRi/Timq/QiiFwNTXEI0FNAlyzA/VDVEWNGwZlIRUzUkjdt37zLQdoAAvF0IAKKMTJnDnYVPf8VDsQ0XN6IhpjmcnRAi1IUSxxFC+9AZXEHV1jorYBSrwrKE/sgnxhiCQMT7ZkGczCFYSKG1mUxclDViKtm8NiVrg5rkyA1mgdj2n1hElotiUQiWzN/0uR2D4PAIGICQBjMpG/k08KMlewLdMjjJKkaMSrITAuqIKOGC5jStt4zUzFqCBkuk8yAQHy0YF+1dYLGIImSIIzWASCVT/Bvci4qTr3E8SG7bIvg1iKagAgsL81eLE6aLY+qINFkFnMhMsr6FgvsCxt86zwLFuoahQcYEHFeMvLLKjNWZbU7ZMqYAi4UwrZlV0t+VhFaLrCIALfAtqgnbxkfcUgxTwhgBtdiyFd2IUmZdppVYWnvYMhMDrr7M9a6lKHeQH3/EnGAJS3/FoqTNOwBVsZUNNBw9FwtUuQOa9p6wgT6IDRUEfE6BOuTCtNo9syIZnK4E8slbUmuIM3sP+DlhXc21CDaGrQwvJNY906CjWjBngABhoYM7gxHMOVWO2TjMolXToRjeyfEw1XQ0PF5hsNGWCRjD2RcFsizVlNLbIclfQC/iq5mw3XQSsK/3MEwA0CxZsAikqAfuvdyQO4m8wyKyCCPTTMGNoFI1be8QAQVgCFnMhbLL1Ot5perB2ADnBPUmyMx0iMsPyk7zXXT6OSsi05M6A5imkqJ7gasHEU94WMRnQ+sgCZ+UUrnNmZ+HowvLQAvt3f/v1URD1U2ujD9hPELPtZLYNYBX6AB5gAprkCLIBgcnNZUXw6UH1gEq3Ed4uPMNYSJ2jfVx1hSn7EepINAcSxcykNQZv/El7tVVRUNxuAihmmQxt2pQdogN2VPB72YSMFYivQNSI2uCNWXiWehJwoAm29zpXYCpDpsw6YiRCwYpbE4sMISzPs4nLVPTCGL5V7Ez6TYYbAGjVeRzTagtF443oFiZyhY/nikeZpKx1IgiTg36VD1AN1s/3gA0GoycoTZN79NwSm0AeQgL5Q5DxpZMtcHe+YwHqyg7vDrEpElhwl38agGgRQDAu+YMwpt4ydVXOizMg6tM9gRI8m36XAqgFMBC9oGglAABNAAAf4rQQANhUCM5u0PC1DAitILNt4o10YD+e0FlYQZurqT2NmiQVAta01po273gB0AsegUyrsgJGh/2awTRNUlgob0BqxGA0xbZR0VMmvlYG0rQIHS2atWIA3EYvlWwujuDQdWIIhuLgmCQHuhIJF+AM3G4V5HgVhLAW8FgR+5k2iPSxb5uEeRmDok4BCjAIsKIPT5CLveMQC7Q5z6cwC/KxkSdcyiNcyes3hGmLa0JQuIGEuWOX4QGX+AiqIpsYrMQq4SIRFOJGjnqiKcgDdjVTGrGkkmLozUxXmCoXGiY468IMz0AEoZisfgZgBaOYyQgCVTu4oeG4WJFPme7QQIJMXoEa0OObqluqw/WIraeWzKJk1DQ0boIou0AKw+LRFeTmucJI+jcJg8ka2OGXLKJJlPIMZQAHR2P+CMlgEvuaEu9brYAgGYZDBvv7rhoq/wSZsfp4ACeAKgK6/UI3XF7W7W2EjOgAQbttwz9S2Q2OIOTWjH1jZw9C1Ce4CQVNlMaYSFmdxiJ42khW8LvECLMCalVZgM2ppY9U3W/a13T4O/WAFVSBVRxjjKHarLU1uE1Dg5iabzsgBokCLKNlTVNOLGLevsYDjtOZuck1TNm2LrcwXQXHjfyCUl9Mk99aKrVgAtAIBsxaa+QaqRToDOPAJLMiX0SAD/96ETbhrXBjwAS/wA4883qgdBudhEQiCAENsCc/sCibeTPkhE56WDedwGpOcdOUCRzcjBAgUpn6M/5UDAdT0so3/cUxWihbPZFREIsuysQJb6TJqAOZ+gHzb8TBTgtyeuoA8jt5WhB96jzFWK03Tsx8BAJSt4lhXaS91Z3fW1+nWgj3VNGdPC5WJX83Yci4vU325avhZi957XYYQC7H2ijepV3Of254zC6JY16raKUPaHiwYDS1YhFMoBXvna0CPBgIPBlwYBb/2txLMrcg7dJu+kwi/ExF1DOLNJctpbTn4Dw2vdCKnMSFLFhvrCOY2gRdwVVzSlceeDNnlL6Ww7KvwyM90hMl1560dLjN6AARA7FrnMgaYecZM1ly3jRg6UJ2XFu/wdRSlOc7QAZDBLhAAYVVFduamGnDngmbPanb//weyVPNzv9pxJotAs+qnz/bvrfYSGJNvJZRuJ2dgMvfqNkuW0AyKqS9MMosQWCTt+QksUBEzeINTqHd8D4ZoyPsB73dB2OGgpZef9fsNCeLHZaAgkEAGRAxdirvK+W2JH5x3W5MfExQnOGoUII2HUElA8XWXmbYUjXGSd2hWN6Lgdmd7Ja7DaHk5Ubwwo3kRTFZcB7aBJAWddyMZsjvG4IIMWpiTSCljV5kbAAEC6AABEACqoUZJKpQnvHosR2uz9CUilAoyz+rT1nqpNkNr1wu3MJmzaO9gQmaw2IqzR2tpxIL2UYs5N5IzeAKo4II+qIS6L4U/DwZqoAZ9H3B/5//nWw58f8t12AAINUCACCkYxAuZLlR+MLzihQsXN44meqpo8aLFiY4kTnRD5qMbiSE/ktRyA8SAAShQ2HDihOTLkBs9ktFSxkyZMiQ5auxJk4zMno7q+PGTJAmFCEGAMGzw4EGFChNEiFAAAQIDBixYGDCwVQlYJEis0KEzp1OoUKI+sf1UlgqVLlu4PFli124OEAAAyHippUqHlHv5viRJBkvdHP8Wt6xZZTHkyP88eKBgmYIHLFXIOJHsuQrOKjY8ky5t+jTq1KpXs269uqVL15FlVKl9AzVlyZQ9RK5MoUDpAjk0Oxm9OkeOJWzYnHnSkkufSrBO4cIVLBi1aNH/hAkLNkoQEgVixysob/68eLGCBFkhAiSIwStXunSRb98L/jJuHj3CiFHoRhqNBFRIP9FH30kDdCDACw06sQWEERZIkxM55QQST0IViGGGdRB1xlFJBXHFQE49MAGKIiSQwFVZbdUVC2CFNVZZaKUlylqf8EGHGnF1UQUXZ9y1RA4z6FVCY5wlOMBeMmzhEpRVPDHlDJBB2ZlpvllWgAczaPbYaTfUVkVxNhgnG5ppqrkmm6W1JINsN8AGZZq8RVbAZcCxyaWdOdR1xhlYtNRGdKec0t11iXLnHXjlkYcepOOJZUVBFUgwonxUyCdBBBIgcIWPbfDnX0YACjhhgWVA/5gQXFS8EAAAAiAwqwkmQHQrSB/dqhOHPXnoIaohtTHsrx6a0ZwOOkARRRQjPtCAA1RR5UC0ImDFVVcwzAgDDOvNkVYpo4grLh92+NhFGYACSuQMIYAAQgmFcWZDCSmlVIIM+eZrQxVY+FslY7FJpudivhVAMHLtBhdCB/k6MaZtbUo8McUVM+aacFi85NKZkHE5w2ZYqobnZXameTBmkCW3xBMaA1WoLIgquuh34T163lUQnCcpEiKgyKkJIZiAgFOcJkX0D3FtISqpFXVEoKkzmYHTqgs10AACsMp6NQIm4IADF1Vc+FEZuGIoVLF14KRfR7f+6kdzT+SQrA5JLP/RLNEOsAhBAg48EO1V2BoAQ3pIwADJemmFUgou4nIyCh52dKFFhcfeAYeQOYQwwLtiFlZcCSW8K9hgACD5UsRZcgmZwb1hZvKdvzGJr9hTm1FbxxbrvjvvauI5nE7FeeYBl8NxBqZqWh68Jp4mI+enZmTUAfOi3C16nSbgSQppzjoXbp7PE3BKQAdDP2V0BERfHRdHTW9UE9QAhlRGbS8pdDXWWqvf9ddcrE0SfvCjBS3ETyNpmxrbQhJAD/nhDmcYwhB0MKS7RQEBf0uAeRwALWtBgFtM4NZ4ICFCSHxCFIurDi428bg/LCJCoDnD5TJHgJSAwHOcKQ4KStCBwJD/bjB9Od4NAAYZGdjgBq1bDJ8GZhnYeUx2TQKN7egnvN5RsYprusFtZEOBZD2BTCKTTAi65C8sZHE1xDtYAQjAvNVN5nleMgNRJmGomHFnGIj6xS808QntieU8K1qReWSkhD4m4GddGxoCJKDICHSqAk/BWlwS4Qj+8EdDNbFJhgTUBoiYQCFwmRUCBKA/UJoASFhAIFAS4QX5CHALBOrQr2znoUWs0iFeaCAbiqDLIdiFWUH4ZbMAV54EEEFvV+EWMsUyQkhQ4hO7QGF1xsXCCD3sCeoiEgFm2Dkvmil09vqmYIgYJeQtxiU3yMGWekOa5QWnAPYSE8TGNEXPtMSK//a8Z8CcwAXXeIBuXbwBDkCwgIGycTEzeF4I7kQw1AzgYExsDQEc6oEiHdRPZ/CQHE8hi2EMoxjdyaMm9Liem62IWhgUjyDHYwW/PeUBs+JUpyQAFRRN4FkNYB8lKymgS+YkkxuBkAxesJAfzEoAAtihgozaIMrlZGpuaIMbFCGHOajBITdYVQE74oabmCEJZ4DCiIAgHyicQZdHOEIRmvCEZgkBmM2ylqOsYAWrXMVRhhshJSjRi70aA4XjGoUdFqGqLRQRMXbRwW9mODssMvZde0kJGgnwLiTN6WGQgU0V0PmbNjX0YCGQk5laAjHS0KY2+Dxt7wrDBRy0Bjkso/9oGC+zRNflBomvi0zK1jnbky0xBDM4qAQvKpFJVKISsQDGMYoRjJCGtC18nJQGL4jSlMqVpVd7APpk+hSa1rQBSZPLsDTkkQGCpn0CghAKXrA/UQIgJYHZy+nIdpPwSnUOfFCDF2bwtcJkcn5meMJRmjUQsUIhCU046xF2oNZfGgQKSwjCBLy3PZ2FEK967YUxMtxXXIQrLYE1Axf2ddAlJGtLTNoLCH77W8fuJaKvC0FAKfu5LLqEDJlNZ5ua54EOREa0tysjZMT0Y9QSuWI1hogQUROC5+UgCSAIASOjHIHc2vY3CZ0Mlf9Bsod6rKCy2Y27UmxR/bhhesWFBTD/hhEMTjC3LXvkY3tMikFBhqW6+HMKAiKwAA/I1CkTCIJUbOqqAylCEYnY0Ef+goU6UGSnDZoV1wTw2CefmDDkBQ106rAIO1D1CkEDAQ4280qt5qQKODgKWAd8BSgMoQgITuta4dNWX8KVZ3FdDyXwylc84pHDpVDcIhaBBRzkS4fAzdOJRafi3+IgdCWILWU+G9o51ea3XuxXDjxwZTbthjT88hdrJXMDf1UByEU+t5pcYkoTpMYDA33eQD2glF8GIQp1W0DBSMbG2jaRyn3p2EDxXZp/z8ZMM6DMDAFQQ3+ZgSRliCMsptO4UWgiw3t1LnjkSgQrnBQCdIYu/jTY/7U9W9ApYiXRD/CHgFax0gtlK0m/zKAh+lABlEWFVXspPRjalXvcWPAqFGrphSi4GwdY4NUrt1oGJwRUoBEwgXy6NmWz6lKtzaI3g6siHhGAQUXpEQRb8prXXfP6F8EwVLAVgR8jhW4lIYjtlghgOhn4fIxkMtMNwvj2DrCksrWxu7oR8wQjqYmIQeTyYoJobsj8dvHofnxrRNsvcrITMowc6JMFuoBOybredUsCZUi2RMRvOZ8C+0fABS6ZOWXxBlAK4uZml6QrAaUOkwCFocKlYYtjfCxyNY/HUzoWDd65a0Ir+Q8cohCGpPzODXE5F2B+Sp60gVXND2UAcJ7zzf+VDgQdmAEWZzAllgW9VpWZ6NGRToab0K8Ek357rUwQATy1epd2ecKyri4EEQxSLCIoSFUggSA0U1tcGIb9AjUkYDAIwylMgh/QUn65C2WhQAeEkcEQQOh8m+3gxA0VEcMMQAmwxMY4ARYxHP2EVr9oRu6whuuZU5KNDL9BngyiCb+UGpxARlJEBqcM1ADM0EB1SkHM2r3JFhE+FLTZyezFDvF4Ro2V22KQCRChBHw1Buj0nRbsx+2xAnXgwu7tVS98AiWMVB+VR/DJiO9ZF9eYQPlY0APMx0csX1PcWQM4BIgZBvvJhBu40vJdDXuVzjf54QC4y/chhw40WdORDPD/qN9NlJv7tRfnoARkVQYETaJdHEUSgBV8iIAVTEoQqogAfoIXhmKGIaACbkIl9EEf/NjercRKvEtENU8ImMnDcNX/HA+z4YAsbky5+dYp4Q6SiI0UrWBqiMlHPEy4rUbpzaAyuka82GBkbJ4EWJ6eLUAPFsAPXkpbeR5SWIAFECE3blaQHRyYWckX/UOUkYaY+EtkjBO9TCHHNGIAoEBMOEIWUkcXeiEYjhTOeBxVyFV7uJTN1coOIdJ86KF8MF/xOcTLORyZzcSTCNUVENULlM5g2Asgel/4PU8SBBRBoZ+oMaRoyEDoeB8kDsC7zQ3dSNASWOLdyBrHJQClFMTG/1kB2IUiX40iKQaDKfYBRMhADYHfDayE6PRgRGkb+KlbPNXGTYyRv/CKuuVdisETvWTgw9SPMJoGPBWjyJgJDC6jV7bG59wgZBAAI8GUuy0AGpFMBGjApUgBFFgGN35jZcRlN37Ml7SLBSKekj1PZGBR/YCOs2FRB5QOCtxATkwEKLwCK+BCM2SYNVhDKOZjeJwHVQgBEVyme8BU/KnhQMafF4hNANlH1DVIFxzaT4xaRzyJDXTBKnnBRFIkbJbO6TxMEB2UJRLP27Xg0gxLoj3lDXQASsQb9MgNZSRLJSZBDkAB1AEBtTjAZQoBEFymGoAdKGLY7hlD2QVDKfBkiP/9or/85g6FJwHkJsSUSWj5nDWpix94CP0I5ttNVujAlzhBzArOwOnl0/otHZbAEzn9QzlGhhd9pYC6ycYIYwFEgMlQhjdqAIN2I1xewAU4KAVYAITKpZfQzy4q6EKZUWVsaAcQ4zvqUAVWWnuBDNvc3ivYQmMaw2NCJj42ih+xFEO8ByN5VniGAPnsEDxZSADhh2iwBFC8z05oSJlUgY/eQGwmqenUWJkE0dxkG8Pw3aC0gZASEIZiUQigDPTcDl661l0gBw7cwNBAiwMMGEPQQSawxU1ep4ZxGHfKAEuABha0SzZl0w6FYA2e4FQiiZMuAaDcwR0UhYeQUQW+HYn/7twvgsbd4WCXhMxJ1JC8lJpx1MbtrOO80FOBDqimruN9SsZAuQ4RHoCoHsBvTCiFSig3Rmg3bum/HNxusYaCUgBp1IZWmkl4kijniI1E9McrEEMyfAOLtig+UsJkiocC9I1LzWgQTOMCvMu7uAsNGZ3t3Aq1iiSEcARNBMXTgA7Y9KSSxma8FKMN0N3KIIe77AUKaEEiFFoiONzUfKcFUgD02EYFTtTKkNhR4AAiPQXz/YAaoGmarimb7sIthAJPbgER8YsZzCkPBaKU+tjtTFsRAdcQLAccwEGgqs2cvmcPUeTpAKNo5J1v5EDIkKANrd/CklE5jYlYQskK9oVL/4jlpmrqf+KGllBA6qGRqdIlXW6RDkzJlMwpcryqamRb6A2RmYxJ8HBMEWFRfKLYZuyqJ9CCr1qDhj3msD7XsTqAIz3AQORZ6jVrIL7LAiSB/xQItd5KszkJthaIT3hEcYAa2IgkbOLLuDbiY+HA54zrOeGF5ugFAKAAfciBHChCF5ABRCAGww7icHxJbS4Zkx3nJUpA1zKfGvxrJmSCKLKpNSTDLbDCJnFBcfwd+H0Tw+SiPoVNkQpesrTacugBHPjBuxLqvdQQ3e6caJWa0FpGIXpRVUaJ4P0WgIqGxJpGws4s8noMrGrJWbLOXKZqXPKuSrLMlBBisgxHzKbG8/8g4ZWoG4Z2b4iGzg9JLdUmg9Xe4xeG4fYU0gR0LdaYgOaFXjaFEXIIl3+NDdOBGtto1anAbbnBJ97uHH/ibUqISallpN9KYAgqxBzMgRw8BBckQfXOgI6SW89VlLn6lp+sZBMMgRRQbk0xhb9ibnXu1WPuXufegi0oghtABIb+1nvlXA3NyVxAROCtyxLU33KwwRB0ERSVG3yNyZJwTguuH2KgZLKAX2W54PaSxpUkLxS3m2XAam8Nz/Oq6hIZ5wTdhQS1TPCgRrlWiesZhnxxIBmXibM1BvlW7XVGpvpOSvgE2vu6ywLE3Xj2k58y2kYsIkzk3dH5lFbVBAkayaH/yialVoEMVCQvTs0Fzw2RFAm8IIlC/OsDl43dFGKRpOPClltFPfLbQe4SNEETFMEHS8UEiPC/8kHAmvAJa1gyJIMtqMKhcUFOzGm7kOg2FUZT4cSxwBAc8LAuFUEapEERDEEO+BgiB/FS3nIuG3FdfKkSzx6WHpFkfE4UX3Np2KtetkasRi+fMJn1TtAT4ETNSgbQDp4B64cdWggZzwvd7pCuTtLUqsIrn6/F4eOb+SMRtJX7dg3Z2nEYBZcebxVxvN6FAvJMCDJUFvLOhRqQAC5G1l0jXy/4ERsRTXJV2ZKD3R/Qqkv1rkwh4ijk6sAQjLIUBAHlVgAq04Eql3CL/55v5yoDMaiCKrTwMvNQ99VQ7QQQs5AVoMKBHuhBLulSGizHEMxA0tZGIptOOuLl24HftRmWnwLKnGJRlLQL8eAYE2YvNm9qPZGGnwxejzmeFBOhZ73dPxjt86ikupyBaKDGuAWtUv6K0vVUsIir+/VgZpgB+aqCLdSzsOJj5paFGrjHFTjLs/izQMVdIOLxRXVEGWBRLsactoqXQsceINrLuxBbQBExUjYe3qGktjWMkzgBzbHcFUQBWXlVW7c2F2cbn/RT/UmBFFzdSrd0KL70YyaDTNN0C/eLkQCi6ZTADUTwGWyaHfzBH7zB5cDBJVxCHKTBWaVBHMSBHgSKef929r3QXV56ie+eU3IAirHIDVRXwW/FKjh6G2x0jJh0tQzOiWeEgN0ZB7+YFj+N3rZlsyOfARtgjlhrGRoxIRTdzk0Uy9pU9kjE7GP9Dl9PRH/4tS3owi4Edi/sQuZmQlnwiC15ARAkthoudmI1tkB3BGA87MNMH0IPCAli9mMF4ifjqk5vTN4xDJ/6hrb1nbxY3w8AwRpEwcVi7I8H+XLgRehxCVyeagQ1S0T6Kx/gthfqdufytm8jmRS2OHyCTRLcwRv8AR7gwXID9XM/dxxMt3XH7tKNa4uTTjXKqxeHbCc/dpk1RyaLLBGiBhWeyd9hgXujGxV6hokG4yyeIDf/n9E290Z49zegPMFk2PjqBfoGEsV6IlB/wW07theejPOuPngn6IKET7iLVngmkEIndIJ9VRWIrdJTGJ9Aye8dW1QdFMicRnJSN6SpJDgJ4nSLv6f3ZV/2fSgxKgkPhWAFOlQstgQBkcGqdMGM9niQX2xQP7tQ85JmeeOpNoEERwGJAIEaNPkq9wKU77YyTDkXJEhFOuxK3MBRwMGWd/kfBHWYizmZY6wfnHkjKghwVuTvjPPCnrdjv3qcY/LboXd6m0amPqGcvuCe3xPMliM8Hfs6L2ryBLhrhPc1kRhixWDjkUkKqouxSLr8zEu9L9n05ZQqbPounPxjnvzJh3on/5BCWdiBQ3ABFiBSrYRAvJ3RNw8HX4cEI9+ASMaprgZLIDfpDQQwOC2IUpWS6ppTYMALBWZTAUhbjX1EsmvKFawBWTUBoPQ3UOtBdRs1kejAN15Gqh6AtceaZV4umrr0t++CLsRy6JZbw9o736HAzzUBUAPCJuw9Jrw7dEv3EbBBUDvQ0i01U8sJvk/UOdPNFvkJX98Ece7Gbki8apQjxJB1wlMRFlWzEwzQAGFIolFOp64T8agRmqwMfw85kWibyiRMaAle0I4RTvgUTVQ6ceuqqIyKKmSCyu/CKycDp+tCqJOCy7N0jyPnZiJotGWpRC2yfsSSaLif+OZ4/FD6nP/YgJLKCtHEhRbMRc/JyUrMvYIkCTvrIWsO3UbbBX93fXTnkrSL/dibaoRaOyYWhNqvsjVgg/4H9smTgiIARJstW5xUmRGiAAECHRh2mPHkDBs4ejBVrHgJox6NbIp0ZPNxCRYbJQCUtOEEJUkAAwaEyJHjyZMlQ2jqoOAhB5YqVW4c9PATaIF/Q4kWNXrUKEqUSJk2dfoUalSpU6n+c0IGqxasbhy5cYMV7FKnBSgIrVo0x5IlbDaqfflSh9sZN2zYeLjk5dwbWMyU8eoIcNevTkaWLHGVzN9Hjzx1yrSr165kk5PpskwKcyY6dPisiaIjCYgOCsn+DBGCQGkPIW7/3Nhppk4dP3XKOFEJoMRJsFsBf7WBQjfh2yWJC0DQoMEPKl22cMExo0NdFCg6hGBpGHGZMn13azcTc4kO8Usi6onDJk2aIkPCD7FwwQIF+RbeW2iSBEqQIEKEoOFDJ5NPeunFGmwMtAbBASPLpBOBtiBDixlyKCuh6lxaayI9MNowo406+nA9HWYAgbjcrnJCBuJAmEFCmWhab4ibzCoqBA/k++mspoLLkcceffzxKcQS4yqwrnZzIqoCZuQxLbY2YoMmKNlb4gm9enrrINe0+6s3r7TjSSUZHiQjEUUUScQRVRzbhU1dJrPsMsxIyYQPOzwDbYE8F5CvLAJqtPGm/xDmek02P/wwo4oOiANAt6y28ooMwk5SSobhijuugeW0aA4HEEAoAVQUWlPUMN20284MLFTlgtUknhBvvCE++igNjtjTwT364qOAPvjugyKK/dDwD0ABCTQQGwStUXAXBhUJCwubyspTPFk10pDDDTeiiduacgiBxFKVum3Ft3AdYj365FtyKLLKAjIpseCdl956m7qKyEn0nUQwrHiiqi6qCvCAKPIyjOM8hGd9QlUWHX64ii3dWOyRNr4io4yGFR0ABBy48EIROeToRBE1M9GFzTbh1CWUllu2w44ooAAtiZoPULesP8XLS6cqzDDjDD/OeOJbUg8rI7ZTh/xqp/+6nHbihkoXBSAA4xBAwIQqnKtUpRJksKGKwkxyTavtZKKSVVZfrZbbWWeFUde434NPB5iiiGKNNYgNcEBl/Y5sF10yIUWO5cjYIokFDjhAzyaa2AHhOLLVFg4pb5V2tQ5AJe5r4Uoq19xz417XKEDZdaq1G6AK297WXafXBjIc0ReU2vk18t+plLJBqtLMatK8yIVnwwwtqiA6h7lscI0vLhdrQyDCsIjpW45BqDmKK+SYg5ROvCcFzpQDt8zllhdZBIq1uS0CvvgG9gDWumHSyWy1wivaa6Rjq4M7sL6sgiS52UkVUrSoAFRNAAJgCA5wYAOplUQGuyPOADpwA8T/mGEmQ6gbDq6klhd96CMeShefenUBE1qgbjEB1h/s8B++9c1vykrGLUQhCjqooQtk4ELiFtfDx0VuchmBAxzOEB611A0ELCkBCjb3OYaQ6yVqWZtN5Caf0pEuKqpq2uu42EXXxa4Ok6id7W7nhjLMYCoRxAqKomK6oQAPYYWQoxzjoIczVGF6eJkBcMAWMS45IhGDsUEH4JKD1YRgAUlYQvY2MzjMeM8ykIkM+UIxilKEYhF+6IOrzvWhE+5qPPaj0hN+FpNQ4oUuTkDabPi3Ey2ULWMALIlrEHWDqU2NJQwBzm3U6LmVUFA3GOzIEJLHorR8EERO4giMSGhCZ1pA/4NLSEIT4PAGFvLhhTD022RoaEM1LOd4Q3DmBToSh0DIMYgaISJe0oKXEJRoibdhCQEGUJKWtPOIOgBUr9RFsKJ44HRN4UsZqoAkLx4UoVRxTRWGYgOkjREU+6pDVwhagqh0bncyOIq82jWjJrEhjnMshMKoJBcm1iViQyqTyLzgBQ8sIAc7W8AACBCBu61BDZsB0CM7YQuUpUwXpHBZKc7Xh00moVvoeiYKT0kT8pwBqkSTSVRFosr90WYnShlg1EC1UALeEqwBmA4TvTYpFC2KJZNy0XqoBJdOgsgjH4GRBnk1t3GS03GOu4M1+SAKYykohpIRnGbmwNIoSEEKGv9QrBSmMIhBBGIWs5hcHYlIvZh+C55MtCdLOMsSnNhPgzYhSxUB6qMBYqE1CVXtao1iVsJUwQ1iJONVL2ZQonB0KFpVim3/EUGlMIUsuAJpHERKRylRaS6gys1JBuKGkM1hDjGjGdESt4ACROAKV1BDThvJ05VZJhMuO98iYlOzvN4HqXblVlzaEyWoDk1VQTsUolTplzJkhSejksF++5hfzYJ1agesoFmlA9bc7CUiH4GqB+nTrfd05AjqCdG5xHlXE+4Aw45LwhmsWcMBpexvgMvE4KArhyus4QtfSMGKvwAIQxiiFrWQ7CXmiDA9EPEMWHjJTQgAz811lqYKwUn/O7slo7ru6ibADWhrDYKlgLEWyl5slPGQJtuIzoaVdRAkUcBWm6KcKL8oiRRRLLhG4FLgRSAtrhwlPIQqMQQ3uRHTgxQxB87gYQ1DcBxeqmtT7W7mP3SQE2a+yzLzZVLLZXCRhpMgnrl9aEoZ9Agc7gBVLOgvNn2pglaOxBPr1BMAMhggT0gF4AATACdY0AJKbtABUN+yBDeAyBmGSGkpvcfBJjzCrjsC2o4s1YQYwACGd5DXao5CFB+mjLKYNeJOkMLOfEBDGKhd7RfHWMYYqTFlz5AqHVMI1KFCQRI5SxqyRHEmw1wXn9jtT6OoBip2iSnDCsrbKN97XmYlAx5h/xPGKxsK4LMh6A1AMJQZ8AULX46U6v4xg4jhcSgWRAlDkTIfdH2EuMVNzzDFc5PMRW0LWvDCHPjABzxIoQiO6xaw1mBnnY7YkeBb2S1oaL469IFV04MCYhErMyk8GkagvfhHKt3t2ACcf/0LC0+uA0GfpWoG9OSsnqhOdV2xJ6rf8pSn0LoiiEik1sskJ4jmtusjdCRWnmyfCTfQ9rYjFsN6KMUoUnYLZSSD2R9uFszvDIhqh+HF164FJjAyPDZAtS86Big9S5W60zweUBQIpYP5FBQlJeQogHK3jlpEyvsuHN+h7xFdXFuQ6RlqXwC/w+qLTjSAFgAmRCvKSdASk/8qcRm3RHEXr9BVhFlFrhDpScPZQeQtj2HBCzD7wx9Q/rgdFAGxy4cZgGA+Yplb5hYpwwUuRoHJOqSNC084bIrJj9hhOlXoCn7v0QNuKP59fo08CRd2tnoaJfHqrsPGMAZM+EGaMExVsMA5PIUhXOKjwm6ZfE+uiuDBeC3lGq1beugALkADNoAHLvACv+AIIGcTOMEYjKEZbsEWJgNBxGfvAuQT8gAQVjDwWnAQNgETNEJhQAIiEk/HqmclBOVhHGafmMp+RKefUEMhUmNghkKjhgJHnmJ5sOAhmseMmFD0onAqRm136kJCyKP9/ID1Vq+IwoPdxCMJM0/ywDAEMo//XXZPPmClbdCDzczO7DguhYDlDd7A/IoAw45gCgBhE7ovFAaN0ODEFm4hGXbhA41h+4jKDDoFB/BDCtbg71Ks+SJtPBLM0n5G9bbQ/friVJqmiZaov4wJ/4RNFIVtBEpR2IgvmbrtvYjmIAyQwj5iiJYpDSLHVnqvI3zIgyRwAjVgxXiABn7xAjEgDTBBGIKhGZph+3DhGJuBMn7qEz6BEihBE1SwBV/MsRCG0u7gI7xFVX7mZxqG3HAiJnRCVXbs6uICeSakPgIF1GhqYHJigIDLKLxqgIakDoYmB6RQH53CZ7RjjaTjQuTrElevcmzRwtSldGykhHbFn1ANi9qF/936pCFmYAmKIA3a0A0dMLTUQpl6z+xWkBOQrQ//8LvuLhkKEQRxARFZYgF0AG/WYAWr7QuaT5HwYhIlotJ+RjZYb4hYz1A08WeaZiRKAHQ8qPdGsRRHgAOWkik5oBQzslZu7Fqg5H7OpvdgsXLQ4yKNC0bUDpriAldMaHEoMAVO4BfPkgc24AiIsRiDIRmXsRlMkk16IRqlURNcTPAMYRDSoNjOgKBkom5YhHm8MVUS5TRiikq80ZTco//iInluIATwLz48YP5W4tw8zyDEkAKKAo/8kTcc4R7DYx9Hcx4jZkvWCDJrBCYE0lBYD0rgysKe6fLwLzbbp92K4v7WZf8hqEascgBdhC8jNXIjeQ7lOoKxWqwDRZIkVyYZTBIlkXElB4Dl1gAPVtDvwmAm9awJ8ikuIiIbW5Mga60n7+BQ6OdLrDCmkMnskrIpM8A93zMDmFIM5pM+6cjwIm19YNE80kOkzgOuEmuxxGPnFEsD3oMXw+AsgZEHpgATZEEYHnT74DIu7+6neuETNAFDOQEva+HF4uABc4AuHob0CuLpvM1hXmIcgQaqXuSEdgY6QEAhJ/PT5ukdAdD1ruhd/oGWvIJHA0M2ZI80g1RLlmY7XuI0Ds4MslBo0q0IMMANR1EUL6AsaNOZoHSp9Ak3c1NJFCUAqsMDbPFD3hDSQCP/B6Sg/KSgCaDvC8JAD0eh++Sk0NyEMprhA49RJU/hDBbApvKGOq3T79YATVWOJmqmZsBuiCpBPBOVC3sGMQjjBtLiQ9LjCOZzKeHzPUkAU0kAPrOABLLAU8XgEAiBELbtPGaliKJEP0MqcoBz1xBLP4IgCvRMCl5VAjSALBE0QWmAB75gE2ShGIZBGODyG4ZVGSj0p0TBTTE0QzUUEGgyeR6PNXbL9KYHAPFIQl5ieqBqAU9I8ooGBP4EKBZvCFNjyGKKT/4Ji7SESIoEMPgHjYI0SBGDSO6RaEIgOpwANrKwiNjnFJ8USvkvFP/VSslJg0rrH2bzRujpNCIPmuAK/66GoGbKdE2xE03NlE0BwU1bZjmZc07h8k7PwAMiIAioszpXEA/wzDPMa5gINQkkAlswQjzVaYiGRnkQQwvsoiKFLz3o01M5NVN/NlPdM1PHgGgRwWhDVVTPKXL0wG3cZiJCSmeFbwfwMAX4QwiCQAMOQAP242ptlRfNMldpIAx69VeHYRmHdVixoRl1gea4bxSUVQUBITtrxuMKwF7LDCXQc5R6pieMSSZcliNsM1DARTQg8yf45PIUYmHnAyGR8Ccwz4+KxBMmtzfIgHfglTTFbF6LyJDudZWu6jt04AJGcVKT0nRHQNiC7V9Nt18hLUYi8kYgjywujyySyhb1TP+RLJZiEWtNT5YPr6/QKGMyJPROoSA/SPZkAeFkUVZmcGWYjHfnnCRbrkVmK+sgkHRonkBWLlJURfUQejZTa0B8x7cGgBZTx3cP0ncPjBYRDgFp7ZN6qTekRkr45ugD8HBN+QNrNUACuBZryRJsc3VsZeEYnMFsmwFt01Z42TYZ3xZD8wDPYPUJEmddKgRvCQMFXAIdg5InrlW43sY2E1dzvCaDIy92F5c2JxMiPc7h/AIwJheGPaE3CANzMxdf3IBeDYk1qoC23KCU3kMU2dMpT1dgSfF0RyA4YXNXlOSQaHc2KQxdkipNzZT8UgzFvmD5NFYXfCqSJEN4kWUZk7H/FE7hDfQDeZd3WNDgVQ+LJmZVPxBruKa3eq3XJf42StKAENxXj43WU4l2DMiXfM1XfMdAfQt5fdsXFVrBPoVHeGqMP0UqPaZgTU9gxVKgf1/Va8sygM9ygI/hGA44gb/BQCZD+7bvF5RVedcAVnMgT5xYUOqtLkpAUFB0HJkQLtZQqeCDQpTEXkMFISLykHoQmiYzN8eQlCbqhWNYho3E3mo4CmMnMQiKRYbsDGKjckNXdUuxKZnyiLtZKZeSPsUgajfu19yHXA/J3NJQ0uLqbXiO/PJmJvXgDVrGMnxqEHcBQZBFn+0UF07Bn5cvb5YXjYfFaq9WZhZpP4JgJmcR/2HkWDxpVkKukg0PgX0reg/8GJAB+WcHmZANeQ9SIRVMwRRQIZHRqT+Bb83WLA2mYApW7AROQD/uBgoMVJNpIPDOEhAwIRY+OVhDWZSTZVkG5AN/gROKegVVOQooIE+GkIk9QC9GwlNmOfYsC4rb45mC2TQaAg1ZWEKguOMA6siwbjaSWZkDY8yceTQb1dOiqJq7ZN8mZHRJsVLdk5uFeIjtGpzns3tFlc2Gb9fgYzazmgjH0IOGCexoxQ7V9GLj+RRCoRPqmZSVRZ8N5BuQ8U4r4RT+AA+GpWQHuqCvNgigYAn0gz8WegfmiEPqCCujynktchYLIY8RQaRn2xTSt/8G9oARfEC3z1d8N7p8CZkRglu4GQGkQdoUciGRZ6EQZkGRayyln3v4WvqlYRoKbAaAT4BNX+wsB0Gnj6EYejqUDyRBemGoi5pZkVqpZwqFD4kAb6BTpFqKXCSKX1cyB1fzHq+Y5eMtmHRKXmKf+g8n+UWZYTgwvuII0VoflSI1EROqePQrpkd04/qb37MptbnCt1k+QVWP3bd76fOvI1JJiPDcYMIoD+8OJgI9MmwI1nQFZ/INGtsympMEJVufvyEZLPsUKqES+GpYHDFv0vizQVu0g6W0pYAvi6vwVDsWT9X3thK2DwEVaFukPdoHiNZ8zZdoh3u4XaG4RzqRWwH/zMG8uFAauldak2G6eZvAAr4Wu61TbNlUp2Phu4/Rp4FaWYY6GDZBz486qWeqJf4kxFlCB/XCg0WJ8hg3PnLJXQ5pYU2Ywlw3PKSlhNaD0sTIE1QB0zGdcnujDHAAwUezg1Vzg/2CR0MXiDHAwjE81TF8U7NAwytaj8P57JbYiZmYls9Gvu7APNig2Kb479bgD+jZTZRBvPMZWSqbn3N8EhbBDtKYT/UGDUD7VWM6LoJFP2ZSzUQqyUtVW2Ul25e7FUhaygvZj608aIUWy7N8y4vbuEna3cO8uS8BiGhszQIhEAYhA1dsjXFlVvnj76otpy8hFhyUzus8hj4QF/S8/wMB4Q+iIAfKLXEX4s+xlRzBQ5SAcHQo4DoGYNHBpYIeIqYa1mHXS1pocz3Y4A4sHdM7AdNZYZm7wgyi7tNH83Alj0oujdRjY2jEKYhXfSlNl9UttWfZ1xTYN9bnc9bXjd3ecar5Il9PXCPySrGpzT9GLMaRZZuaUxn4eftOART6QBG0CwhiOliAwOxh9W4iQO1nZgl2jufYYn5P+jwSDOPkiLnBXNyn3JCJ1lPP3VI1Fd1JQN2Dm9273N3fHcxnjEPAfVQLwd4H4cUWVLr19zOIXAj+/WIJb+CDFYHRFh4+/6eZbRduIRTmrqgbHgdYMsQlXtDFkWFSxeJ/kIrmZv8ym47jYxcETgKP1sphXbfk7YrSUx4UWMFlWIEVIqo3zCAHlGTm9THy0PH12U9owhJK2dObv3mu33PoZVukK9poPfzsDpJPxuP1cXgnUbwJhoCKqQ0QXOhkJgPrZUjrk/EQMckNuoAKfgAIrsDh8wMIAOIHkChPkiRZQIFCjhxLlgwpUoQNGz1xKha6iPFiRYpxMrb62CpXLlSoTJnas6dGDZRZWrbMADMDBw4xa2YggXPMHkY8U/n8mcqkyKEiP866hPTSrKWtCF0MNMiQVB5Hjkw5IURIkChLogTJKuSE2DBh8ADSg1RWKVzNmn17Cy/uN2x0rdndpUtXqFGjOP3/WTRjAEIKHjyEAAFiQIgQOXQseYLFjJknT3Q4XqIjh4eEFi5csGAYgGgAAwoUIOxhxowqZcyccQgxTRo2EB/WHpKQQmfPFyLemcSKVajhoViBmuTIkZvJFAr8ew49uvTp1Ktbv449u/bt0gufTnj5zBkzfvzcKT9Zh2cM7NuPeD+i/RH28EfMvD9TjJhDiBCRJNlfgPoNWFWBR/DmWRFDPGZGHQ6adwcbUkwYxBdhAAIIHqJkkkleySRDFzZ22fWhMrbgUkqKpQynSBdUvIiACSYkMYMJV9w440EL7LhQY0382MQZE1VkUUZGzgISSP/9dxJLWYzh0ks20WQTTDjV/6ATSjsxAlQqz3xJFFGtLEXmUhkFApUhg0xRlRQpaLWVDl4FEUQFFUggAZ1r/PGGHpWckiIubL1F6Fx13ZWXLrfwNcofUUQQQUI7TlqYZY5BhkWmPW7qwXcWWNDcAKINoFhhCvVI2RMODSERG7O1apuCOnC2W29swFGJcIyWcspxyC23BGHcDUtsscYeG52puVkwRLNnlAfhHeJhkYNuCLaHbbbauqcfIYd869+SAQo4oH4FYoBgbUuc4WAdfiQhYRBrrIFHvXyJkuiH+u6rr4mn/LtIwHJc8SIVCAhgQgcghCBjw4hRmoNq1R7QRGbrDlkkRkx9FOaSqIzbX5QiV/9J8k0kYKnllj+Z8uWXyLwMMzJFJdmKkYWgyQMPbBZBYRATDqGBV3hCCulWUkBxxh0BLxIcK8Mo81aIUmPzYV63XD0KHkFIoIEGPxpkULNDXPbEDDfcoFphCxW2WXM7kjpAB4t5sKmllonNqkQb6QGHkBLJSut6R6ThJ6C7nlLJJL+m50F0TjiBbOSST67dd8s+dOt5d9wBh7RnZDpDp7R+SnrptSKI4OCFEML6t6iI9HGAKIXcrbna9jbEsw72kURX8tpLnIf7JqoLv7awcsodffThhos/NNDAwaOJJncIHQRAWmmEhWCDDSG0bdgMT5wBB0cegSTSy0MxaQrIiIj/HGXJVV65kpY8oWRSy/q3HPNQH9kciDSw6QgQ4dmEpOAZC2iAaB1oYAEgRZiIVYEMiXDEJEDBCmIoA0RTo0vVEnULUeAhLCnwGpCaYJtmLWEhM7Be9RYzt4QUgACiyt73NtUYHYjtNhKBQ/n0wLfN+VAiC7rbQy6AgcHF4U+l6MsmeFWJxCknPTmAzuPIADnKaXGLkrMcZzDXuc1xTjxmKMPjbICCF7pQjSEggOUM08AOnCY2GGFdK/7Dn/5oKUDfIoQYqqItiLDhPO9KQg68sgY+8CEUpCBFvvjlIWVI8kO2CMUizpAELmzhBQiAXvSwN73s1ZA0BShMCEpQgg6w/80DHbhBZMhHEYygLxf9gx1JTBKyLOQSflmwCQnmhxMSjCFLKKkBI/D3uv0ps5b/M1KBbnPCBFrgbaMRzNtqWAIZbIELfQCOLTbYQQ8STxciDMMJUjAhA6ZTQQtaWxvjlhi4EcA7BJheB2bAkIY0pFkFFGQPfQhQMXKOb2x4zRJaVYSqVISJToSiFJfzmoU8xwZOwCIXL4rRYZkmNxRoVubEKB4/1MENWOyeSbuHgpSqpoVtnKcpGxiAAKgSc7Kp4x1RAS5E7LE/ffTjfOSTxCNMpHMGOWQU7IDURjpSePwqkYmuNhw7BMEEN5ABCjoJPQR0IJTZm15pDAMCVKryVP9nyxQsLYKkkNASZuvzWC53Cb+aBDMmwRTmMFOmkvqZoiTKXCZbc9EUjMQhDf1kJ5AOQLpJwW2xpKomCHDABS7UoWmSJJTUPpgXUYzCnGH4wgEPKBEUYsad1kPlqL46Q1KBoKzjE1KsCjhUgAI0irStREDFc1baFCEOhWsiX6A4iZGSYTKjDcFzqpDFjCp3udTZKHga8lEyjtQNbihDFa5bBS04AY0oYEwOm2OaudFznjrwZ5FY563Yua+nfzSQeyciLRphwQsBs0MnlMpUDnrwQ1ANBVKBcAUTgKADWI2eCRrL1WoSYDGjAUEOIVMFLIinfHFQSlrTJ7O2uvV9WXD/UpTmaiUQm0yYPjgmXlG2B5Pkr6/6+ytga1aIONBmh+zkqAwXQCrTFABuXt1RJsvghgueYhjDsGyIhkfOrJEFQ4D4gpMn1ASDYMZSEbuBaU/7PdOk5gascY3fCliViVwiij/EVW3PLMbyIUXGQ/2T4UbBq+MoRwtYUJVlCsPcPOs5OpYLjw/JCGQ3KGc5ZSgDGbC4XRTgc8oyXPD3NuMBAsjNA7aRCEVqyrpa4HS9h2Bde91bIMKxYYU3iGwfAnZfUnSoePqaWjL6Gwo+qOEHMbJegWOE4ATbcJQOvlRkvKxmpXBsrRkeyZJsyWGUQMkldf3liJ1d1xLfT0sqwZ+K/1fM4mfU8sUxZkM7daggUHHUMDDcTGpDqT26RcY8fyqykfebjMwqGUNSMQRZvsA3KVumIVW2QQm8Krfv5CBTrhmoq9JQlTTwlrY/PLPDKyHEpFzCh3eI4r+aOBzjIIcMdLbzrJqz55Av17sLaYiQpjVBMlB35YZG9BnRtjZ6lrswBFiwB3S4IPFIRDZoat23+PNz9CLcvQOSjR5GnQPIcrMOikj1qp0qNUnawha3GM4c1BC9GJkAAZ2MUQd4rOvTws3BOXiCZMgzUKTEAknEVp+xj23sZO9h2S1pdl1rYHcslThlfL/261iWbW2zFSROkfEKcd6s3JQSjpM2zShFE/8AExAtAmVfghTeMORCuZq/msXDhepNA7Jc6A1veI2lnhCxGXTgyqNy42nK3tohHVzhFRkzw81cCVjAIoq6330UKy7x2bq5iSsyziPmXGdGd8o5Im/+Fl1Z58bo8zFYuGKgV37oxz3uujdAzKNXaco2Ln7f+sxbRXrurZ/31ClDN1C3YqyH1xjE1I5ouqqfrgxiECNEktQ/1W9BCnJABQLAdQXIdQIgAAHAWKGESv+WPa4XAjOABYXmLpyjdrEQEtIQMxnmMa8Tdy7BYS0xTHZ3Mnhnd3fFd9amYiQxFCwWDi8YDi9TDUniFN5Wcvv0Kc3haNZTc2A3GpGHAENDAU3/MCF/UApu8W5H9mp74XmfZwhGAIUXwidRAAU6YEipR26IYVpx40ZqwxDmRyQbYXsP13tlqHtnJnFjeHG/pXHK0RqUEXPe4XxzGDkU5QQRVhmXsUIz0D1O0BojpRwlRVGFVgUygGXKQm4h4Fx66Bh5A0QUEQg+t36FIBugJgasA3/iATZc0Ab1d18ckheStAwatEH5twzLoAx5QQqd0AUBQIBZlYBetVij0YAOWBo6Zj0V5QZ1sDmVcAmxsHbVgAzS4DJu93YsGHfvIztzN4IkaIInSEwq6HceSGz6A4Mw6A3VMA1p1RRxUAQKERlPMASfYQEz9EK5FkoB0EkPUAER/2ABRJgCYbAJuKB5HfRqi9KEUKiPUIghjlKFSYADacM2h4EYidEBXZgblUZ7tfdwFwQKrwCRESmRDydxURQca4EibThFqsJC4kWHH0ksdnhodaYq/GY2KNA9rEFdgegEaVQFklEFDmhD5paIiwh7lLEuAgUHHYFePXkR7Rdq6BVjffMaUAAFZuAGitB095UopjiKpUgMTxlvq9iKrxg9AsBVC/N1tIgCV/ZVhNEBKFBR7hJFvzgL01AN0kCMxVhsHoNsPLWMKnF3JNhsY1A/0riCyFiNLQOD6ZAO4eAN2SiMRVEI3yiBZSCO5OgBBfl1jxdKr8iOXNM1JxAGozAoUf9jj1jjefu4jxcyL1FgEDiAA9+TEIWhGjPHGbyRUDV1EUjhcKAAmxIpmxB5hrVVkRjEChhZChoJUaPVQsoCksGZHdp3aGVAkpSBBWZTAilZaCzHUhKYnCHAY6TieqZRnV5IcK4BLeVxB7HUk07xk6CWBkIZB30DBVEQBV7gBUopB53gnsKTf6R4C1Pnf6rIighYgC8ASrR4NmcDAqLRgNXkXTOAAgBAUWYAfMEoDS/YYsV2jNRIEj+nR8VkgnlFl/Rzlyl2bSYBd22nP34Joi8YmN7wMjVTBAXQAZqiAzm4mP/GWOgIAB2wdUGIJ3hSAUJgmUiYhJyXNWDAmfpIFmv/cDRJUJAgIDrhFwI4oCMHcAC8EVSqgxG2J5G0QKW04AtX6gtViqWvYIawAIyxsHug4AnCUXzGkRyOUAfiMTY6YBhtw3zCCafSIZKFZl3XRYhV0H1nU1EqR1LUEl5mEzqOV0Nwo2O4uBirEWgPUh5leQk2gxFACaWCBQd+gJ43ciNyIAdKqQq2wGqSJEmCggtTJ6rDMTD5+QIv0Ji0uH14mhhcVQJcVgVoBAAocANPkKCtsKB+2aD+c4xEgUcTmhJ5ZaF0aZd9t6F71aEw01cg6pfyAIPS0AqXMATXsxg5lBmHIZMD4HqPp62SFwE1aid2ggeXWY9UE2+ioAl54KM//2oE9xYFOVCQ1qRjjjYDYNMEB7ADO4AtCbc6ToEUsACRVUqlV3qKWWqlvlCwtFmGYAqwnuAJqqAKTeOwZ5qmYoMabhqnGWtFxUmnh+axZICnIcBle+qx1AJe5aaD3OpGjUaQHaCSyfEgk8CojhqeoWYkFQEHULAGV/ADPasGc5CpjqAKGsQvtwCqt5AoxGEHz3MwL1AC3odgMrCnrPqfDHhFiYY2Z4AWwRgOzMqWDhomHZNH1Fahz+hsMPEk0aihG9qBQ6GsysSsIOqs2TgLemAYPUJlqle1pJSyArojFPCtFTABg1sBeDAKbVEomFk1ovAJeaAE7GoEYpECkJIYC/9wGoWqZXcDEduScEJZCJege68gsFZ6istgsAibsAprhq/gsK3ruhQrJBABKpbzphornHtaaJLRch77OP2JXNr3ONTCNjW3UWAlkwDwfYsRT3TTIO3iIIpTlmFIJJTYfmmAEYFAJHogBWsQBETgvUSgBnSQqRArSeZqIqCKC0irC5kgCqIga0QQPS9gAzIgA/E0GlK7fWgTVsdbAleERRLWnUqBlt7QtSD6tcMYtmGLU3mkU2nbbFXiErMDMh34H0QRM2z5DHHLrPJAt5dAUAYFhzMQTzlmnaOkMJMSuIM7uIbLFjqKmVRDTo37uOwqFicgAREwTxHQNRpgOr0hBVP/AMQbUB/wMSCd5q8XaIZEBgxlCAxNLJFdCguwqThi2rpniqZ+4G1DIG6lOUO2C6dOwHK6y7vAi13XRcaa4h1aFoHdIwP/lkoSqBqNeRqOkTQidabQWz6tosd6rHBPEQdOBshfkQAJYAVWEL6r2AnfRBdSd7RXswsc4r5q4L0NQAVdoAVbUL+5lk3d0583YFJtHFYUNVxJAwdIMQvVQMAFbMDXOIwa+DLREA0KvMASOjI1gR8cUMTqp35L8hHUuIHP4MrDqMoazMHVMAuxMHGd8xqopxkt5UY05JgggMISILgTIAIiAAZ80cI6qg2Gcq6CAAZgkAd50K7mBIXXPAE3/xwBbnJARZCvO1AVQMwDK0DPKzATLdACuFwumGgzaicLZXKBYFoJsUmbDwebvmLFu2h6H4caOubFwalyylEHYoxofah9eHo2JrV9wgteknYD2udvy3mHePp1p/EpHvUsVuwI5pHFeMNPetMRN2MhkpsC1qwACoAEhkwHmbBU+jUM/xKqSLsLn0DUglDIVkAEP1DJXYDJx0uLT7taH6193dcBg5g0WxsL00DAGvyX1xgOavnKsBzLD/qdPakfVDITQzwC+1zWNKNWGwgzGlgNafmCXN2sdHsUttU3/GYqguqqJwy4EvAADiACEAABSiAIohAKoNoW4uDYR5YJfCAEaP9gFoBgTidgBAzAACIwuHkCyAP0zlYxz/W8Ai7gAhmAzy5RLqvN1oTQFJ77ueX5G2IKm3otfFGkOHWQ0K1hsuD1D9X50B8Z0dRVRi23XRM1tTdAkCh5RVWgGR3dAVe7XSK5XQdpLQkSEXZ8psuRhzikKkJiPn98AoMrFjaN01ZABxvSIfr1DcMAC//CqbpA1J8gCEiABISc1Eu9BVvg1F4FAquxp06ANmbzkha4dgMsD8zq1dfIP2I91v8xCPxsM2kgBkOsLaFmvbJhvRcxJoXAdm0XM3I911tt1+lQzNOAzBNnUIzmeK4qAzaAAwgBKQjgAAlg2Ii9SHshKM0gDtz/IA7aIE6ZoAZ8UC+eJxYioNmbPbhCIHpfANpVMQKkbdqmnQEqESX48R63/B6XaNb6oeGD5AeT4AkWFCG3AkRjWAkipduDdmhVEDog9xwYG9xzyKd0+rvJ9Q9kfDaLUdXbF6jWKbLAK+gCroi6sRu1wS5hHH0RoynSd1ZE8gUpUMODKwIJoACFvNPrrV/YQAw/zQqcmglFXd/3bQVK3QWWvN9t3N+kcah3bgOt9JJ+EEWxcAwIruAL7rXaJta18HasgybSSyQIdzvSxCz+RBt9nBEfDtcvo5Yjeo12zcHmYMzITJTigXqdQgD764Da9DhckAQeEAFcV+M3jtjtKwo7/+7Yjm0o60sHSPUHfxAENQyFm33N2NzkQHwEFU7apU3lVV4D8SMTtyzwrE0gBATmiuMHOjcRfFNb5eEg2MdxodM40dEjcz6H+/2x2HUD0WGHGy3xImsDG6+IOuYBnnzRri7x4BErOScZZ5AqC4EpdYZzZl4RsgHEKSDpQjC4DuAA4EsHjrTpi2wiUxcKjCsIo57TSW3J14UDW3BGNtCqo9GFqXFGAYACsU5bWV0N5iAPXe+XIvrsue5iJEEIv743j/g3RXAB+cobn/K3CflashHThTBsy86XCx4OCR63XU+3yOw55eHy0gnrTqDqMsCnXIADHrB1DVDjCnDYSCAIn//QvvPpFuoOD28Rb5lgSYswJxMgFufMAIetBOFMFjojBvtez6cdE7Uc8AJ/H2s9IJ7m5UJ1K53TBy4/YcK3OQ5fB3RapzMgHdCHBRZPh1Lb5mgzHX04ktUC53x2GobB3KxhXdVNmhSwbym0IKhnN77WGrAREUB0cAUyBRaSFQ7wAA3wA3MwB0Bvj0MfCqUgCkdv3/aN1FRABluAA2eDXFh0A42JSgCBIkQBCh5C2LBRAkCJKnXuVIIF69g0c/IsyguXUdrGjOHSffz47BmyXCVRnSQUKI4eOHpYwoHJhk2RIkMW3FzgYQaIAT19DgDhQceQITSLpElTqBChViWRPYX/ikwkyI8dM8qjetFbtWmxLt0xU8ePnzpcFDI0U+UGihJO3LzlwgWECQQNHCRQAEEJEkGCPmXKZEvZN8LwDH9LpotUp0V+ogQJMuHECRpGjDCAoAAJEjBCwoThwWPFaNIrMpxGnUW1atQZOLyGHXvECDFiCN3GjVSmSzhnzpjxDRPOHeLFyZopUwZ5lSo2/j1/bsMJmSrQrV/Hnl37du7dvX/33pYM9RvQZ5SP7mR6lRweKBTITrBgB4RVsGBpXqIDAfk6liwhKkAddKCgwAJ1eOIJLIADsKjd9JApjR12YEOKIIQQwgEHGvhhDlJI0SUZbEYkMZlkbrkllFH4EMSK/802s+KHLrbYggscbqhiOiduCIGADlCw4YYZPCAyBLZKCMAGM/yoJJZYjjnmHHcuwiicjTjKiKp0RCopl5NqGWSQQPSAArgzivONKB08AKDNEt5UqE055wxhKKPSiEOppnKJCqqpqLLqKpCoNKeaWWKphCyy3NjiLOaYQ4gMNxxxpA0ubjCBLrsS0GsvvwATrJnCDsMmMcbqeKwCySizDDPNkLACDDTCoIGG0kZ7rbUMVmMNtdh+nW222nCrDSmkpEAWijOU842N4p7147fklnPCOeukI8MJ8Lbltltvv31uujLUeg5HctNzoooZ/vGgAHevk0+nGWa4Lz8ABuCPgv+hAvzvvwHbdbeAHHJIMMH/iAqupTgWjqPCCzNMIAEi6PjQFhFJLFEXUTbuSxBYrbCCCBlp3EIt9aq9oYMQQph33hzmveFNFIAsg8knJ6roIo2kCdQjkESSpqRahgZzEEDWuKILL8ww84wnBvZggDnhnLPqNkHIYagmdli4kFn27POpZ7Ts+SqL9LGo0EO/GquOMmSQU4ZHcSzjrbe2cCJTBB6YYAIRRFBCib7oyKQTwcT5xjB4vilVl05YWcQOyFZt1VUFErBCDTwAqbU02EZDrYUWePX119eCDbY21VUnpBCVvljjjUXqqMM3230zro63khu3OexOBjd44Yfftor/5MiVTr3qokPI2ueIhA86+SgY+OXz4gQgXwsCHGIJg5dY8yeWCS64fNwrueQSlxwWwm8FFLCCcFIsvjieeEZMTJRPOu4L5A2pmBGN1GMDGbxpACrzwMAUxJxqyQwFTqgZHJ40DSlRyRvewJJVqPKMoOWCaLUwRAiP9gMAliEu99kJT6RmtXut0GoluMETktAEl+ghT3viU5/GBqieeeNs+kCb2mZxiUrcwQ/2klMJZGAu3pVhPOmaQQQiIIG+/S1wgqNDJ1RBDG1oAx72u19ibNGJUNhhDUGYTOUgkJkEOIAIahBEHvLQuRWMoAUcKM1pREc615gOdalbHetuEwij/+HhD7Prg2/6Zbsl+EZ3b3niua5zAxwQz5KXvGQVluMcbGVredpxT/Se0x//DCwELsQXQbZXk0Yy7Qngi5qcQDCDgflHQcvRJJMqsUs4SOExGBLB+/hSOFuEaET2w58uMrE//oXsAQhIGhm28MSEyGkAIUgggrDgxGoBCYJ1QN8lcDYlC16pbB3pINFCKMIwCIGEXZCmjUIAgjld04X3OuU9k4iCKjzhDDC5Axwu8bUuhW2HVQnUVioCRLTJoxpccVIRzVDNqeGIaUxz4niqgIMFSFECqgJc4OK3GGIsQxtgDGNiQhEKPJzxBCJgQEwxs8YN/QCOcTRC54J1qwyIzv90p/tjsI4wVKIW9Qi4GYQhAGHIxvQhCeAbkL/8c4Y6UMoNkUQPJrW6VeKZy3knk2R2AGadENRyQO0hwE9SWaAA/YYMZUhQDkIApyW6bGD3caIWjFeHSUyiiHc4QxTWgAYhWEEzIzWcMpRxzPthQxe6+AQlBAEJynqMCA1AgAm64IRpPhF7QCkrwfCjBSfMbElNisUsplENc5BTKxjMYEI72AoQihAQgGgnEN4pzS3IgCfWJEA+remTNgVAAMcVQABQcAMvRMG5UPCDHgbaChwW9KBlU+iUgHiRQk3jGIiqQ7XglkS6meE++NEoFxZAASmClAGBA4MaKGYLLp4UmaX/QhFL8dA+v82UBSyAQBuJYIXJ5sEytQoND2plqxXIJqgYgPAIIDxhDBh1qBU+QhoGeVs82KGpTiPQgAiUwCeEBZID5GqKVfytG03yBlnd1g2w8DQCFYQAN8Yxf4ikr0Y+0gwDm0Hz0oWFGcyTZcZrYljq0AenBvYKalDDgDOXxS0SAxtd1MaIlJGYyFIWEjCAAawwmykudDZbOCAuUFpGy/Mo12aqZa0PqSSPC8KWZ+i8UjWoCyal3va2hA3CFQCoiLuVFl85PmXVeiKn4yIgsyYIgQkeE+il3UG6s/gadTWdC2mABLvSqIacG2oRd5jDu7GYxFUbeC8QiMsMT8vB/zaTYyMPTNG9VxSE/OjbRXWU6ESjGMV+++a3Nf4XwBFDAphhoATLWGYyk0FwaDawAQpX29oXwHa2tX2BIgw1DVOA3RqisAjfPKHGBSKSQWbgT6YN0Hkrhne84S2D9Zi7QAVY2UACFtweeWBBk3KDGYp8g5O9FT8qtOhF08KcuHDBDF6QwxzoQAco00EOiqCFL0yqjW1so4vK0MUuuvxlJoBZAWM2AQ7K/MQbqDCJQcKmBwig3DvEYrU5m3PaLnglnl2pJK3ANCY2sVQ8FB0NhAVC0rrwFkeoGgUdCBi+E83CNgmgLpiNQAGm+IAfXMELXkhCQNN3idQO8Ws8Q6hsL//oDu1uVx7uOId3YdH0bD0dBATXaA70paBZ4yAEU6ziewPXF8AYjhgdzzL+cAFsPKChbxV4gAggwAIDADgzYC45DNa4+b/17dkpSIEGMLADCG/b9BawgIFQj3rV00QKUIiCF5TlLwOh2yAqq955ECJv3vd+q/QmgxawoPcC4HjH7yEACJTfAeMBvAwvxvtby4CfOMlNOUzLUUKkUwWIS3zidJjDxRORcWZ0PBvZ8DjIRe5lJjDBADBQgAMejQMc4E09Qvqtm/QzkPcotxLHYK2c466H4rkrIQnqGqI3+AM7gLIGVIMfICEA2oI2aAO6cwL92DGDmDqqs7oGwDr2urr/H/g6LugD2tGl9BGoWQi1c9oZb2gtd2Co7YK7Y4AFUEg1LQiS81APvcoBgoi1tLCRGTCBj+ovXBuc+Tk8jyuRZli8xpuAB3iABkgAGDCAygMwBQCz94O/9+HCNvJAD3wACYgACziAA2C9IlmZdBMl7dgP/qCXEzK3czMQIrkxd3kPD/C9PNRD4ZGB5IEiuconO0Q+EKAPbLEbT2o+N1AO5pCBRty+R+EsGtECpYk4wsmEiQs/RXAE8tuG80M/bSAGW8gESqAsZYO/BEA5lbO/dFELetI/lSmrmUOBSpgFnMs5F3yoasgzTaOtWsCEN7ADBoRAm3rACIQnGmkDRXSC/wLqAFp6mXwCARwooCQqARt4gS98gCjIASigCwSgAi/wAya7KjcQC+LwAwlSQW9gwYxwwdaShxjUB3d4h25wBli4weWql/vTtxDAjyqICyEcwv4SPL7ItcUQDIzBBmVgwlJwQg1xAAigwsrTPCw0RS7swg35wg+8idR7meZ5sQ64jnfjji3AAaipvZOMuj1UyZUEj0eRgehgjpi5l3xBvg64gU4ajyf6Jtoxrxc7GXdDiEhMRkWoxGX6BEwUP1qgBWZYhk5UB48LxVEsRZO7HMx6gQAqoD48mZbrCeWDvipAAeW6BIoQQIvYilx8KATEtFrYhLbsMGEcRmOEp/HYgv/ewYGzMBeZBAAciMnq4wLu+wEPFEH8eAEBeAEvWIRdIovrG4twvAOyWy11ZMELckd43Id3OId6BIU6sAF+qpeP9AkQCErmuA8cMIEKkLw12gu+4IOVKqaL0TJiYIUyUgMNSc2IpEqK3EKLvByM/EIEiAAKKMPt0QEs0ILjtA8YAx7rgJp2wY7qyRoRIxDWew+WtM7rtA7mSAvowJZlbJMBkI/is8npyMnxOE5JMcGejL5q6cyZkYEJfASinAM+4INPsM9cszhFGL+Ma8ptUAd1AMVOoIPJUjY2+p8uOMbxAr4d6YCuvDv1CL4A0AKbK0s6O0u0xLRLELpN4ARg4wP/iotLCAQg3oqknVgh8ciWOLGoKvDLh7sCDxzR3koScNqlREmLBbkoJpGIyFxHF2w7htoHeaRHWPADGwgATUKhBp2a+lAOG8EBBEjNNdIMQWjNlXos2CQGX3gFVmBAB7hN3Awz3hTT3szIDzyAJqAJ78nJ6fukf9CRrMoBqLo37HDG/3ilocC21AsB7OTTlZQb5rgWHRkv8Ly35Eue8ixPchwLgbNJ5iAtigKAG6gb+aSD+rRP+5y4pKSFZejP/9wGYhDQZCtQMvXGzWqUNqG3mOyAVbVJgoOgbPGDWLBFnQkHDDIUTMNVTMAEQCgFYBOFD6U4IhBWkXmnucyWHeFK/zc5mWqCIeNhUVT9Sy+4gihMGi2gERkgwRpNlDI4mUnsAkVYBFZghWIAB2To0QCER324zHM4BmCohBlgvnEpsrSqmkZlOPpDgAlYo4lkTVGwUmMaEWJghi1dhCvw0n2FgfYDMyQYU4v0QszyQEczAQ9IAqJgA7caj+RYxuegtwFCD7MqCOwQkjjtF/AZgjylgD3t05XFpB3RjiUyl5fkzpysJposAKmpxoIrz+SgnTogMpahFyzQy56YAS+g1AG9VEzNz/HTuI5z2k8N1YokVRPwAi6YRv2gl3lZVSCxAdK8qP9bqFGrs40AurUUhrYEhD/oMGBtEZCxAg3hECqQW/8EJS28UQvsSR4b4Im7g5Q4USJMGUIJMIEXsAGSIcGHKCLdkSYnQFA5kINQIKNSKIZW2Ig6Syh0tUwhPYZKyAECcNYhuVkX4jdzob8FkIAo7RS/2JhbEIzFurJlGFjIiYwvTdjM283LiZjcbSMEMEy5pYJMoVjcOQMs0NlsaR4hsw9nbA88tI6bdAIsaJDugarVq06WtV7hUR7QtY4/zY+QRLJlLAGapNcS4Fska6LrSwseCS2DsKaOioIr8L6+oIRLvcSl5c+n/VRQVQNRXdipTTlpLAGBSLcQ6ICcHTJ/Io7/+1Gz9IYDLNuz5QS3LDo7mLgWeREkaCPfJKEXeIH/99QRiiLElGlQQkQI7FkI/ZAiKeoAAHhPciQOgHokGukCKpjPD82EUdgEWVDBOJNMdqzMdA1Sdo0FHSiAKgg+0L3Z73QXg0AIjjLd1LyiPPCLv9AFW+BULIPdLZUcv8ELUW0/96PKiHFIh2yA5EIBBO0CSAsBh+tZocURRK0W6CDNn33OWFMP6C0K6c2ak7zePv4WcRm+6v0HuUnf62jWtOgmbEI+WZql+1A4hcMPHtmx4pOaAbiJCBAs+uwYSpjfo8xU/bxf8/tUVSCF/TVFhvXC+ZNGGRDggjCSQ4WrJRCoCYJBGQSHcs0FTZsFWWhLxpvgOYAyF3mR93nY3+xg/7wx3jjpCRwj4EI0YSUukAWQGhkog3IMKCOqKjdogy2YYe+bOD4YhVKQhYmgiB6u1R9OV7briiEoACw4YuJbIUJlYt+6idNVzcCRo06uYmZgBvTbBmbQUi6d3QTYDGX7Yi3EYN+MWN5l4c5SCxyZlKZTF58szzguFySl06xRkPEwAwCpie4ZEJT045H+ju27j/bY3kfBjj58FI+kpXmak7sL2gW5vvM6D+UrgJv4iZuAvTXQ5E2+T4pLSl9w2vPbBpDLBBdRts0QY8y6gv8toBLQN4PgWhsQvlfSg9QiS4Z6u1vmxaDbhFKwAz7AA/pkwGC+YFRW6DGLRvubxhb6if+7Q4i3Hi6dHgAlquaxyB1KocBu/r744QM7EOdimIZyZsd2/KF0PodYWALPDb7hI5IV6oAE6kgboL8ksOdOkSMpnt8qhl3zA+hXWIQ/mF3NMMXTJuYNcbTVNoHjeiCS4UsjhqSH9kP1mCSVzs4Zs1PjwWPuCekMXEOSFu5Juo8nKDLskI6QXNbm6cOuZcSpebp5wY9pmTHj7gAV8gmcULknEKyi22xB4OS+gDIqAOWm7cRs0AaQ+4QX2cIMxkivu9bv5LcfCcsACAD+0IGBCsA5G4dxAIeyxVUNBcZgpM85AGY1EOYXedsyxboFiMZGfOZFA4DyhVS1AgqtVA6xaMz/tnkECnSDLngyBO+Y1iyFYSDsh6ozxE7sGIS7WAiBAJBU+yAyeH2TIKkXhouLK5A8FsBnOQJvKlYGLupEgAaF0Y4MvVC2qVS2i8QsMYyA1UaAF4jER6noAWrEbXFu3fYeBXml6BWQgiCS4RbzjH6adeGOAkggIx6gIzHgbBkvN0GgBJK1VyvzDeyJm0iCuDCD7saDzZbi/hEZ8mba/jw/bUgGkRtmMv3C3eqtffLIlFm3f7I5OSM1d+jvaIgGTHOSIboEOPADafVmiUPwtF7wjAzDCNBpqpsa5hiXN/8JVIXQtwqLDSeLPniER3ADRaCCHxgw/gFnXBgGckZLcyD2/x+NQXlYbCwIgGpmmkjuzKDUAukzIRq5Aiu45+/+lMdSBo7LhoEt8jMCnCT3sgtmcuD0qIgl3Pd0VvaEUIsGj+0zrzvd8u8hCpoYgrOSqzHX9+dYt90+XpH0wW1SF4DxkUNtIJ+QD9TTJt3+F5nrAPsWABOYotj7ujVYg9vy844Jma4D5fIzP/Q+9PV+kWKGUQDirDfP2bzeJVhwEpyZM3cAh3HA9KGRhZrXVT0AixmWL0ykOJC54FL/TTFMdVV3ExlLC+xZVVdkYXF5FCVrzJ5NBKLc9V7vmEoNBWCHksJ+KGJ/wVo+dnfY3L6aBLKog4ULSvK8vjLbAioggntWgv88GDz71HZu9/bIWQMwUAIw87LKcltiRsXM8oCOkgB0RwFsXRChnZnuFMnucG46hyoR856D4ZcEIbJ9H/MY+g/fMAOd3D3oIBIFAhALuIDU0wkZQ6EQWC8KEH1t654ECWmcKIDW3pu+EYJAs/iLXyof13iRuThV8AWPP+/0voVPSHBngvIof4FrbcSZgSByhAgoOYdzcEcqsXSZj4ZaCIbsD+dNOAXZ8QK53fnvC2Zhxt33voKnRnUJJ3oYug+9hKGbPAsbOK9HyaWxKMFFWATHlYMHpPrBoQOACBUK16lhx45NmwZu4Tt37uTpixhRnrtzx2LBggVqkh8/ZqrcQGH/wwkZMmVOctmy5QqRBBAgKIkZU9CnT7qSKdO2LRszWqAW2eGDJiakokUFCVJDpGWCBA5+XDHhYYEHE1eoUHmBAgSOJ09m/Asb1okTsWbPmnVSBQsWr0+WwB0iV4cOuHbP4D1jBssNtH7/Ag4seDDhwoYPm73x5AwbOHf81HFT0omNswQ8UBhS5ALnCxYoePCQY7SHAhQsdMagmvMQuhROH4gdIQKCBg4SiBAhREiQNWEA4cHDh4+gPMbBPJXTSRUzZtueZ8u2zFYoUUiRWgEjpAICBAK0oighY0sVkDaq1KkDCtixbg0fyosvf1y0aMHuBzNmTJQogaHsyKGGgHQQ/0igGj8wpYCCTjVwxRVeeDFDBwMMAICFF1pYgoYb3jDDDCBcKANZlGk4Qw5eYWHDeYud0Ucfjigihx0EziGgFUgggVSBpAh0CizskbMQOO+8F59EDplj0THAZFTJY3x1cEMVJ1HJhZVe/HCbCAwwIFMen4hyC0468eQLLYoExQcYeRhFCSWf0OFglg48RUUXVXwYggld8PlCByCIloMHiJ2lVls50JVDXHLNtQSKZnTUkRkfVRbWSGQRmqmmm3KK2AyLweEYZJGRQVZfYhFgGmqqreaZBai9itoFrNLKWaycxWaBBhLYloACL+kmBBpoAIdHmsYpAcYEP8ihCjHLZP/z3E7SUTfcdYJoV4EEJoR3YQnlfXQDpJXAcsw5DUkkUXz01XKfMLjcsksvn2SSCSmdzEHHgAUa+EOvCirA4INmcIFDCRgirKGKKqLQQQchVGjhSKVShoKJS+Qwg4o3ILpEEi8qMsdwBapxIxJWCMIHv510wgowzpATMznrEOmQzTdX1I0zzjR5xxkSSjmp0ASbAeEVD0ywJZdK5KFJmMpgQyYzZqrSCR3EGZeHm/TK4UUVVzTQwA92qoTDDFJOBlIImFFQAKdTtsU2XUvIVcRcT2BRRUlu1NFRHR9VYYNIJJVaRaeHI544YiGceMYdj48qmRZOnPrP2qdxRqvmm3P/3mpnGoAuAa+3/apEsMIOa2xQYLAuxARANOvLMstIG9101RF3nevaeqHSwQCAMAMWH6FgRiWxTHOOQ+mqKw99nHAySimhZCLvvPaSwu8c29eoBhBAVDBBUwE7BZUXVsqAcMIqUsYwhRSKNyJZKn7q1QzhXe5xG27EyK+AJVvBCv6jwxyapYphDENm3VjHOczhwJvJxx3v0JkzmOQkM9xASmthy6S4UAYIUQFpueFSl5x2i5zoZBvNoUXVrlacptWkXl2rglWw0gUnqKRgOFAJD80WGre9jS2CKoBo6MKoIcDlCVXQwt7Skx7ABU5+lFMcFatYxdCciEV+i8xJyGC4/7B4wIhymRWtRmBGzpnxjJvbAQY2oIEgBAEIYaOTFXJzOtShITjDQsNugOAFRahCFbOj3bS0oQxdfCKA2OLjBCrwIDeoxEIDqN8NAlAH5FXDSMzTx3yiEb1RhIIU1etFL+pFiuwVSA6qpMKBtjOBV+bGKXXqAhm2kL4LUchb56nCiGzwuwHgQEq9XNgN2MKXraSKAjp4Qhn4F6MA/e9//LqayubAMlwkkBzd2GYDH2izI02QGzuLRSUq4Ye88bKYXjmDB/lUG1gqTQlOswUxpLWTqbUwdzWJIQGj8gI78akKVuIhQXOIg0EdzkNiCY0RLdCaJeStJBJ14qTKUB5e9v/SihrdqKZeQxevDK2iVPriP3RwRM0cAQNpXClLW7q5D7QxBUH4gb/muJub4lRYeuTj90zgBUd4ghaym10hk7GLRLbOdQ54wBUU4YY2bOFgAxDNEzpgyVhUwxsQ2SQn5QGOcdQiegIRpfX4IxCVEVAOilAEFX6AtFe+8qZLGRstbYnL92VISl0kyy2/dVEVbehSFq3ChJK5zDJIlAxdaCtN91Wg4YyMDqTAZjG2yU0HYvYh6XLHOra5JFiY8yOU6dBbnsAFxVKhAW89wQm2xDRR2IIZ0YEOM6aDSprsUxQqOxBdu6AFkOAgJTyUwXh4yIWNsu01yoxoYk8S0kmVhzL/HJ0udQdjGmXWBaRCG96k8gZGkxbBbuFNaRo5YN7zcsCM6G3pCD7wgRFsQKY0Ve0EcmpfYgGCp1AxQRke4QhaCJWo0dGGUSmBBO24bgIPgIoiHAHV9E11mVb1wzHMsVWuUgQc9hkFH+xwykx8ohe7MGsoIKvWRyTiCm59JWtz+r0r1FUGvwzBhDJUni6Wqq9VMINFAVuCwZGEMh1IlWk8MANe1nILi6XpDwSUr8fyAQ9ocHIpDNKey2LWHJqVyD7e0VmdgXYSZphfB0bjqNMuGWkVqEBru5QH2Mo2WvdcBitwh1sw7Za3ZNsCDoK5RN9qwVJaCChHk1uAHGCBic0t/8NzoRu46kI60mYJTaDc4ha2oAgs/wijZsJbhCMcobzoHfWoW+pe+Mr0e3Ctr31vit81xBErD1JEIoI61KLuwsBW2B1TZw1JW1KIcU+4gQ0qcYwtbzI+7gCHMITBYTrUq170IvF/7GCHRfQBCkFQs7bgeFM4rgFCZbCSVAfgMA3JYJd6m4wvgafB+dngBiEIwQ1GJO8C4JuIZ3PCoLvwTyY3WQ2PtQMe/rCGNajBDqWQxUEO0o2EVKMaD7xwRLrcWZ5Vog5lmF+HRhNcJV8BCK9cc9LcrIlbPKt2+DyrKHLLBzmoGCp8MugN+GSnF4hlsV0wAUfzTcSMYQGxixYalf8sigVNSzrpke6YXJL4hNHkIATf7fSnQz2C817dvBnIAKnXm8ZTx/cEcGUtXFstLEAA4uBA8BcCHLSIRbxCdtDJBjGS8QldE+EBbYeQF0piSxCAgAAhmMFHtFCJabiDq11dNjne9WxoRzsT1L72IhgjhSCET1tSiEIQhAAE3qwhCm//GxdAkEuRXKp9E5vMDQAPAvFcCk+hCYF4SrA2n4cABOl+wT/DFjaAqwGyBX/DG6IQhTec4hSxYM9BIC5xcCC74kTqBjBeMQk3TM5QHpoBDoj7givclORKa9oJiUGmMlWtOqPQBPs7zHe+36DPKrH5fs/yA7EsgCo/9Hm+EXr/FtFglGBkERYMnUiVRBkcitIpYHWBl93ABaKABkJxmqeBmnqllwVuHdd1nXl93XuFHYuxFtmxWk7hFxqswdr53hVc2ys4x9wRwy3c3cnkHQJAyEDZgAwA3rx1wI41EywoD4YpGziQQzPgQomNjCmdkn+8nR8kQRMUgRRIQPhIQBTogLZ9T29EgWM8hkfMAPwAWaksDFmUBEiYXoiQRBXkwGsUQMQk0+wBXgnYwAvUhu/9XmOhQZT9wRuEChs4zh2U0/I13zREXDVAH8VJn868giO4gYrsGFt8yOvJwPfdVCOVHAOQ35hMCz6pgvqxnyYYi5WcxNHR2A4pGWNBReWI/0UEUED+gYZyuaJyAZFYvEYO6I10AQaieMW6mQSjVZRElYFX6EAOLOAwalRmMMoSuIYaTt14VWDWidrWbSAHdiCqhWA1kl2r7REfLQWdiM0Kyt20EIMuZIIgBNBS7V2PhUcJRIleRUYdAMM57EOyBWHjNQN15MtwWBPLdIIS+sEdwIETQuHIBYHxxREQhF6oIKTPYIFVocAXwpv8kCGIAAAcnuETlAYBVMgAEMBreABGolscziEdis0PGOQa/EEe7qEUSMEbPM7xBKIgStzybJIEUR8ouEFDTslaZNCGSOJuUOIINY0o6EJOZKIvqEKdicL6sd8nWomV4EDgcQUXLP8ZTV1Bh5iFBKjiArziViqjWZgGom1cpQDGRwWd0RkTOmmBFrTF0/kfMbplpxCRR9FFMrYNvlEA3bABG6RBGhyBGLBXNErjSrlXTIndBKTAYVYjHHmbq/ERGARQ+agg3H1jdBCDMoyjFTjAyDkIjL1AAFgICmiQGTjRO8ZjukTQQnwDEYbSHFibtamVIiyCQLxdOYXKE3beKykmuEWBFMCBHujBJVyCY6QICgRAAADZiFwUSLTe68EeSRjdDGCkJG1k23ikeFSBv1FBd2gnAsiaSaIkHLCBFHzBF0gBFPjB8cTCLCTEep6D8pRmuuxDRRwDLPhBcf5WcnZfCXzf5yX/GDy9mVASZXTgE1IqpSfagRdggVM+5QCEAA5ggdHY0G/xHAJgpSqeRqxwZWj4RaA4omBQFd6sJYie5dGZCNK95YlmChFRWhHRZdu8xhKwgR7EQSEUQhqIgV+yF0thnRmBmmoM5gdWQAqATgqEYAqoZOfllGPiCGS+XdwJWLQcEh0Qwaqt3dhohYaIxJTUwSRw6TvOpEOcAzh8Q2regijoi7W93SLQWpouQjnRZngi6bdhoR76JnAC5x2YgeA0zADAYexdVPxJJEUe4J92AC7Z5RpaiAxwQRV4QZ+8gAlA6gvwifG9gW/6pniGQRgMJBfAwSXMgnquJzc1xHseiXxW/0Jx2kBaXhQXyJgcPsBbrZoQ4IEoZMJQnl9tsQJSthz7pUy4eUGfAd7DYBEU/APv+ZYTeEEUzMZsXKitfIYrauhfYFEato0AugXUZcz2QR2KcuumcCQBCJ6Z0aVp1EWMzmiN8mWP5mhLgVqPYsAOsFHYnYAEaMAFaACRspYU2M1i3pQI4AgSOAUQXEGTvgJR7cQ2EIMtzIHIwVWVZsUNiggZuIEjTMIrWKwzvAOpOsQ7nEM3iENqNkOZ0sEPXJuLcIHQ9M0kuGklhArn2ddBIuRv2ukd1IEWxBvEvB4jMhqJluFEEo5z8ZIv/dKhRowM8KBEOUGf4YAY4kVvWqp4sv/WFFbBHXjqp06Dw4mqO5BqREjQfM5AACiac7FqJNbGq65affGBKJCCLRDlnBGDrnZiHuABrEXBI4JACCQTaIRFxHoRtboo5ngGRyqXB0gdYFwXLArgXHLkQmFGW3br4xIGRxKuh1wrtr4FY7BBHMTBXqZrSnUOq7QrqG1GZ7DRvRKpkB6ArhymkTZBE1xenApBbiwIEQjs24GCk0IHwlIHw77S2tkQDm3BxAJVwS4DN7BDxnLZ9OkMAtVjKNQIFXhBHfRBUzZlH/iBypbT47zBwfGRsBwcS/ojHFSCnV4CzRYOiZ6NBpXHh+TSRE5M0QXOhqgj2yAqHO6YGTxVG7T/wfQOFBckQRO2bhOE52FqCwK8QBT85izEQjEwcDFok3uMKvN02TnEwh08AalUiS3JYdjAalylbSfQUwpJxzIQg0CMQoHqERxBquANwALgm1mMxxjiQP658HW9ihraZQRa1+IOxmggrljkG+QKMWFcl2gIz4hylxnkRV7mpadthhN7WmdcQLtGsRSHl0oeJuh8xpCCDmdsnmKuWm44wIvZrpNCSzaIwzBUy268am/RUhs4AlABGO0Ybz3Uwz7gMR7XwzpwgzgNQ66yQifIgZ1Eb1MS1xY0kxNFih+8nR0cnINQnousLHCWE2SIZnc93b7F23JGzERGrBuAMhmyDxqq/6FHBo0TcamLuEgbSO//4kVebl4EiE53XMEbYMIlyIIsNJswxMwC1Qx84vE7HIMewAFkgDLgqETv0VdciQAYzOpyENJz4GoojAIejAL0cAIghAFvaAtWFgANo8UWTAYODMBfLACF5K0aGlm9IU4IFPEQw7Nh5C1ZrltaSiwo18EZLMpctKJJnZQOhIYxtkbUsc1n0MUTTsEUHMEFKBfo1KutVGEURGFhvtIDvJgXLELFDlU29PEw4AKHoYEcNYCd7I3w2hpRtcM95MNKs3Q9sEMfO4PF/kQi0DSf8GLgsE9imQQoO0IdsOki0HQiTOyWggIorKyTbFE+P13GEFPudf9yokqsIpYB0FRkKQ8ACJwyURc1l04CRZmBV8CFDiwAAZjAHEJFRp9CKeBCMPByzKxDPdRM4uVxlx0DJU+CIiKzEywWB5OcEKzJm4UCLciWtExzNQMCNmszRWtLBOSfXxBOWRBGOoPGkVEMEZtGLHolD8fzZhvudWUXAeo0T7vBV2OrhDQkaGIa3hDbKLOF6glrxjwBSomucsXGAbBGE/wv5wVBYYbPBCxF7U4CKARYH3ODR08PH9QUFWiBSuyPHN9aSrM0S98DPbTDNiyDL3hCHP8aD51EefhSTpOBPUd1T6vyI5h3HKN3URu1mz7OFnYEMmZMSGzyUyZM8IJyGWT/UL150QyUBr4JnvCIZnCr91b7jRuE4tMlgUQKQG3QFf+Eglo3m1u/dc3MdZd1QyxgxEakh0WJcxeoGLclDdMAti8MtjTTWSgEx2FDT2LzdoU6rliMyGFAK2VjymAE9IsDMRFx9o6jxeF+tk7f8307ommHx+DcZwaJ4WSk5WNTzva9BRR/hgXUdgDjdhJEAaxN4islgBUQgRpktHDLjjN0tEf/R3Ivt0pM7Ek/RzvQQz70Qz9INz2Igza8rSJuNw85wWDdQJ8STmLxdB9wtXmfN3pTLFcfNeScAVsOXgaVRwZJZIaIs2QMVi/dW/95SICrt5tyhDEb+Fp8SPeRbXe8/4ANkEEiKMKD44IwjOk6TDiRVPg+gBksWN8TlcH+eDjDil9MAHbK0ZYv1FmKs58hGEIYhODIiQ6kOoEMoMVxZQrh1htkF0a0djaO83g8KxdZJtaUCJ1EKWfE8Dm7TQwoSw4TiXt4r8VbwAUbMEqsfMYBBPDj9MEiGFz3uo4IKMDJqIEiPEJQFezO7Mwfs4IdqEHYXIFApQQZyLHBtrmbv/lK3wM8jGmdI22yExfhkCGxEY64S4bEarUnZDehE3p6YC9t+sxXzBuHYtQNTEgniwiTk0i5DQC+icbwaPVRF/h9E1ZU0hCkmoAABIAMlLoisAIuNMOqvzVcv/oe74wvzP/63/TB/igC+CVY+LjWl8CW+RVlndkBGhiHJEiCIdBAsStYr3kNqxYatQtGeVhGXNZltW/2tS9T0B0gleg0WfyO+yZ5+5DExG78Pdt5eLdFEk0K3diKR8GoY1gvUEgZvds7vuu7J1jsy/h79dWZGjxAg5wPF6Rqwj+HOrT5mzf8PTx8ar4tJE2G6j12hyC53ytiEwm4x388yKP3lrppqCT6DMwbLjJT4aw8hlDkY9+9JF0XookmUdt8emg3GJ7HzuJ+jQHAeLhBbBL9N8DD0ddDPlR4PrCDOMzOK2wEZPSBf0X9JFK9m33CLdhqUW7i1ne9JBgBDfCACFq0wD4I+mz/VFcahlp8xFkcbrW6PUD8EziQYEGDBxEmVPivgAcdD59gqUKGTBmLZcho0ULRiZMSAECWKGGjY0cbJZyQcePIjRuKLVm6JIPlSY4cVTpi0THEAkQoUd4E9VNn0SI7R9esESICggIrRK44egTq1StgzrACe8XK6IMGV7yERaHFkSday7ZtU0cPXz+3+fLdYwfvWzNWqtw4qbL3hg2/JfXeENxRZUuZKyeBAuXJUeOYhg07mlSJMhw4bM48mZFjSecnZUx2GDAaZGmSJT+WBjCgAAUKOWaYcTMpMWXbQ+s0dunErxaLXHCAGFBa5BZHrGw1+7ZuXT3ncPdF3xe33bZl/75eKfbT55GjRVfQCBEygbwIEUryfLqlS5m2bdmYMaPFKpQdNEbySJJkhMYJ/+SBCFANsLwATYaFEPTLhoIKKADBgmyo4iInCHKNAh1yCOHBDTns0MMPQVTIJs+wwAgyirSoAgss+kotJAVtQEGGlCCrUaYyqphBRwVvGPGJJM4w6ig7FvHDj6KOMkqppRwg4ocrFKmDKl+wcgYYWGAp6goEruiSihfIMgsttejhx61+4pJLHG2IucsNFVdcESfA9KrCBhlmLAyyxmibRDcbXWqpDj/uuMOyyzJb4oxFz8ApxhJGi5S4004iDSQCWntthjJmUwwU2yapIzfHdnNiI/8ccRiuBBnuBAAHR1RhRRlx2HHuuXz6iQ7Ne+hphxtnsMtukj6IugII8ZCdwDw8RNHFFmLc2ya++ULBIwwjjNjPiDD8CwJZIdBQY0CwuADOBIUoJegGOhcMUaAbJOSowgsjusHde/HNV9+DNiPRopVaokjFJ2q6QSTVQOjgBhRWJelfgGWqyKIq+kLBYr/gNYOLPo60gw8+iNzOyCKPXEQp8h544MlF+njFl2VgvhKWSvzwossffvhSi0c8eVkte+wx8y146NJGm2Vo8cQNMwjOISIceTuNDN4+QklPxxwT1SKKJN6a6zIIhUMPPSxblA04FsXipNIitRSAkfwSrW3/TF2DrYw6EvMUFNpGJXXqjThKbUbeRqtDFVWIodXWeuA6E8242OHm12D5/i5AIpIlj49QVPE5rWlZKcVabEn374Rv0VjD4znUKLBcL3BGIIIFFiAIsIFwkBCjqZ2w1114uaZwoLpLdOLAfZFPXnmFNtOBYCxkW4klgZ9YAsMZTnJxtA46uHiv6GP6Gkc7s2eVMDLaINYoOuggso4+iBVV/TWCIG+ClMFahCqYl3EGy0r6UAYTXCF2AtgZLXyRFnXYAx9C6wfRvvGNo/mCFiyhifUiYgZH/WVqNngRjaT3pzJIpAoaqdNeNqIRLZjhDJYh26Esc4czqM1FqwmB20Ri/zHuESAEPWwQBTyQA+iJKm+K8ZNu/sQ1jqwNACSZGvfK4IizcKNWzrlH4xyXpshhBTt7O5KxApS5CtjhLr5gRlqkRcHQjY50RjAdstCABjx8jH0EshnOgBCECFDAdvJ6VxXMsLuO+M5dOOFdhTwwg4kYb3mNdCTydGST5wXyRGSoQvWu1xc8HSxSPdTRDErEKcNcZC+OAgzX3JA+oshhDnOQQ5SIYpSiKGk8E3BAyh4ggTUsghX8s9LM+sCFLlCBmAgQgBMecZafMZAfQoOgBK9TQTLcgCbPK+VfSnInkXDQRuMbTEcothc5ifMMhoIhDGfYIra57W0lQAEIhDMAHv96oEEFcJoZRIW3IjLmTxELHtUAAAJ4YWEGUFzJK6hoK7jgKov3kIvknLGMquzNKGo4lhjJ+Ir4oJEZahTdtUpnuhOIAAxgmCMd6SAulVo0j3okiAz20i6BqGhOvMkXNSVCyIHMoCOP9OlPQ2QT2IASemaIHtcu2RnY9IVSqZGnBxKpyDmpJJ+g8ctedmcjUSlCEXJ4ZSIc0dUheZUPajCPCBzQgAY8oAJBCMWzlsGMX8JiEmXowl1fIIAO4OARr0DLAhvYzGYSLR7YmCBjbBAAnMY0QnsxyWn4Mhg9ucEiUROMYGRQAhDMgGAZNOqiClUodDbKeKox7dsSBgKQPJX/ng0CJT6N5AfaLIaf05vaRUATNc2CIAQ2mUFfXgIKZ3DjVlg8U5oeap2JTkJI4cFoKFjBjGxwVD5rBCm2aNCfkSqBu4LwLvtSqgYrWGGl4nlAQX57kBscT1+b8S1Q4RtfEHFmqAM1qlF3Z0mCYWipgJHBalsD1d/GyGFVVZDuYOKIfOazMYkAa3e6Cl46sM4KSGhKAtb6gAkIYXPEiGtW6BoxLQRAYaBIIGADK9h4rNiwSFNaAAJggyVeVULkI4mECPpbQ3bNUSgQzAxUCxIQcIZg+L2vkURbtjNo0IOnLU3COhBkebamQQSIzaBiK1tPbJlUUZNQIHUbnBB4oG4z/9iIDTrgh+EWl6HHdWhyrzPR5jq3lhOwQyg8PN3PVfejbeRPf4zAgO5+l33iRcJ4P0ZnBAxkAFAlAFDJDET5TprSIlqCTUKg41I6lnpPwJAHBJqSDkKKNUD0QAjgCRIbwLYOZSCwimSjYCyHNrTwgx9RPMaHCYurwgpQQAIc4AD74QG6H+biKx5DhheYwAu93AbQUqxiFmODGKpQ2kdOE7UIGdXGgDTDin67LlPByca7Hc5qg2hNnPhm1oVilESY6GTepvpS9STAAHBwtwWLqix+c4L3GCsSHNxgBpEWohacQOI6AEMczVmo496Spl6lJc5bqQ8e4ige+905zxz1KP8bSQfoQA9aEIU2NBjiiIc1ODcIUUjCAg5gAQtQgHY/bVClcZ5zgbgXqpmuqbippwMgjsZqAgMyVHuO6nPfwAxGqoMZbgAAhQ0Ry7axzdjGBodCCWkNXSIgERKQAF+fdcN4KAUrNDpcmL3CE4ngqiK6IABFqEIbKBastLGBDWXY4nCO4AKesglObketmhGRSDbde3htSmo0IIjqNynyWUYtOafwPPdp4Unv1ciTNCgRZWSwxhLQMMzHgsmeSBTmXtjYCcZmYAWt4HHFNmcxH/ToVXWkxQyLeyyO4bFfh+NK8Y7Soih/EAIY/Ew685S05ColQknBEIYwfIH60/+CFIr/sIMiFOEC3b/AAfh4EBkQXOflN/+HCE7mRBKSg/p1TQFU5cQRCrWH9b/haJjudKhv77VIrsQlADAA42AA44Bs3iAKEDAKTMAEEECtHCABICACIUAEhGAN/uAUYAEYziiNaEEVFKETOkEOqEAObEEbGCja8C4ZksEWOoEV3qdcWCXbygC/SuKCrMmyxswm5mRt2qZtPogiRmhF8KsKMms14kneMk81JOVtRO0wQkj0HEUkpHCbGGYkcIqgbqADQIIMVEEZvoFoHq4fmum4bE8dzFAd4GMZVKETMqGseq+WgI8Z+IeCPIGrrkA8RKCNGMA8Tkc8VApnxMM/pm8KCHEK/wIhENIgEY9gETGgEbsv/AaiJHKEns6vEi0xIdTPIKSmCnKAzODvbfKEaaxnqOCp/nhriIbCDICsFLHgDAjl/wIwAAthFgdQD9iADawnCeBpARsQAiWQAi3wDSoBGMZkWtawE0iBdUhBGeKBme6umfCBxZJBF3ShE0KhSMqFwEQNt4DQBp8AzOImU4Ro1FYrBETjtPLEkrJwXXjHqQbghuRNMILMyZpI1DKiMGLi28inhraJwCJkBgnq/gCAC5UBG+Ih9hZKsI4LH4DGHnolG7JhGViBDT+GDzBuPDgMz+IKZiiogrrqB4jgPJSAAUhyD/2jrYQAZ/AoEE8gBabgCP92IA1mcSYVkREd0QI8wHZSghPf7xJ98idvjiCwSS+woBPhcSTEqXoubahCgIcyrajy6dsIauqMhDJicRZmYSYLoRbZoAmS4CvhqXteAAEcgCkikALx4AJhwRn0LI1UwRZIIRMygQ4yIRmaEQWh0R70jhpJIRT8chG8wE4GBwgvAgiZRt1M4gZCoEGEiMlSQ2EM5rRGYpCEAwVSoiPckZ1EYvwu6wilcPMUxrEIg1NmUB/jbVIURC8sgqCOkAttwSDBEC7uzi34gSGB5iEjkhhCQRQ+Bg8uUjz80sPkMM5AoQ7sQA3ATiRL0iQrQAIqoAICBGeCIAhSoDo3YAN2IDv/d4AmEzENFvEIHPECJE0g6qQoc/In0RMoo6qmwAnchGOzqqkzPAPTCGCzjCoq8enpWCT/rDIAsRIrZ5Ir2eArk6BcouYFGqAszUM8zO4UrqIt5ZAYbEEX5FIu7dIZaTMv2cQWbMEv68MO1sALtGALtqBrAGeUpFI0xWkGFtMDnmcGqqapTAspKSYkRG0LamhG4WVOJrEACEDcbGAxG2Kowq2USpPJ1in+aIyUWJR7AoALiQFaDhIeEvIZ8YEhbw+ihgEXRmEUfBPjpnOXemkOaeEVJuEMvMUsuYu7+JA8ntNNJUACIiACNKBONeACsk87u3NPvxMDus8CHGTn3EtD/zpkcHSKIPYiPRU1RFrDaRTvLzSCYuBpROSzUjuRh7BgUEQlkPLz6b7HD/oTALGyFQghQAvwFjEIC6ZmC2RgLC9KPMIAEErhFLACQpdBQqlRLnXBIJnJcfJyG9rEQ+3AN0O0C0iUlE40fBDuwHCMRQkgiJZAMzpgMtsR8+TRRikCR+nRVXQHRbBA/XjKkgrOQpKOezpAR4qKCNdpWuEGq5i0oDrgSaXor1aMSqsUGvHB9nxFS4VhE7yUWFtOf/yKTEGhD3SgAtR0TUXAdOzHfppzjyzATr1v+7bvO49AJgvBOxfxTyHxHzKxQ7KtKDv2H2qsChb1ZDvkNb4RR05Cav8Cw70q1VJPjZoW7L6w7OmaDlRh8RL+sxVM9VSHIFolYlXxxASmE1kAYRM2YRiGC43e41aVgRopdFfv0oHEsDbtAVjpIxR6M3WuwFi3AJC8BiYCpoP+AseysIeIbMAIAzNNK/OEw0ZNRQtQAMYCQEe7NSNEVogmghMj7f18tG3OlYT+a7XM9Wzvy6hyzEnJQIp8QUpXDB/utTbztVciR3KGoV854UuTpGVehkwnIQkiQFkggAVYQGFNpwIa9mELAOYO4HW97wKGYAgqdhExtia5TzwDlSEoYHc3xIlmIgdGtmRRtngfRIgwonfgRhIHhmAqlb+WKmPwE8uyTGevMiv/f/YWcVFo5wQ4cOAngiApfHMUhEEYhkEcxMFpgVUZ2FdqeTWwMhRrtaFDdzPR0CAIvpZEuWBoAYUjouaEbgCeNsPw6ASgQDE4jrA08MQGXmAsBUAA7lY1YIo9VcQm4kRH6MlCercHB0CgyGeTzLUv3PWzIoJF48kJEuFwCnLFHFI27+5KHbJXJIcbtrQU/hUPkmQSaEEOrWP4zlQCSBcC1lQJFvYEVNdNpzMKIqB1XfcAYlfmaLcIbJdPF5H7ADVfbmwGECJRjbeLFULUeicLhxJO4nMUT03TdMeoqtdIJqMyrlIrCfAWiyBoIyKycCAJOAMKpOAN/uAPujQYyvcb/9BXfaN073QhGXjVGV9YL+EyE3gz4/DXBPBk4CYCYghTNLUtyngLlFBIEgWDXWk0gJ3MncayARAAAUwAh2CEJLagXLigJoxyNDIlcCVzVbIpRnYUt1ioaUwY/z7QFhAZGxboBK3UNvUVImvYS0HmL81iA+PKF1ShKB7gARUgAhXWTe0Hf8NCMWnHiS+gEf1UPCkgiimWDbqziovAAmrnIOrJi93Zp0SNYoBsm1QzkAASkzIkBHIZR2YQyWjN6ipBbOJAFmnxVNlg+4L2DHBEMHqLMxSFDYLCj0chGChakNkB99AIapUBkZtRkQUrGrGBQudSDZAlCCTABN5Tkcj2Rv9mUJB4g2EEmB2VqHe4ZwDc6R81qHBPKwAaUK1QWTP94mII45KE9xMBgG58dFvTUdu+x55F8dJOLVJm4AMPOe+G2aMptyHtwQyBlX491C9VAYE2UFo6sKuA4AGRoJq5aw8n4E3bGizIgFU7gAAowAK6D5z91DV2gmIptjsRWgfWmUE02HffubCxuJRMGATcCafwa4RgGTaEkFFgK8m0Dg4AWmz0IBYJ8IXYYHaHYGX1IpKU8ivv4A38chRwoaJppR0wGiKhlqOh7RmxNqTjMqWQRU6Z+B2hBzdQpCLs+Z9s4LJ2DKluIFJQ4MYmhok+EwACQAB6GpWDAzUzi5Tvygv/TMADaOfcWKNBLm+5AWCpU5OMq0moTu3e3vEDM+GQ3WOYr/SFr9Q2t9po9u6rwdqMnFY+1lAOfgCth1gEyCNOnxN/wZZVe2uvwTOcTW0nPJucKXYIdIBQCeJvLWRODbvC7+WTdARuOyDTHDV5c+S1WKicQotQ7sAqbSMWL+FQMvsS9CAOblHr3C1aP0Ng4qSzvjJI/PIWcAEXlINWLhr3IHJ9866j23uR5xcE5cDr4nSPaGdIFWVRzOBEbeSfSqJrFjr+zgdqeGS9FngsT5nZsAAHYlQvgCNhXoCYqMAEzHud1hwU/WLMK6t8xk/1yBuq4K+DveDObuEWiOE92Nu9/98baNShsPauQ/f8Fp7FvjmqA73qBxJgiIl4PE56gLrEC+KaRInSbCr2AnBSbR9C6BZ8djPpTvBEBnAg0mQuYiMgThftIGzKwmG9IJDu1OC2h6BqHDvIxwBpUMzJsk8cxWPxhWDcUDqbDQrFSDJjaA0zcbEAnsqAqg89GSz6x9XBabUh7xK5yD/aHtjEAxXBuhcwAlJ95lrDAmZ3CVT1avqXdy5iCAsXJexRYDZNNLWAgRvYC+Qke/6xzDuAAX36HE3r8pgwm5AyuT+zBMbM1OrPExdgADogz/0SrrLhzz/6vWF42gr90CVeLaodvz9SJLkLDMQjCBbwBsKiCwpkYv++jNcPevswhHtsXYNN7V2yTX+5oBPr2ok1wDmbMwqgIAkGItuEJ9ZjPdJ8FNXgCVMC7CZy3QY4JWzE5hJ+HdgDkGzKCTeYxmlwQ2vyS2LuC0c+Qgt+WWqlfbVZm6vT4tqHHNpQkCGtI2kegUS3AAQWwK453ULs/rNf4gmxpmy9ntuqQHDifdm/PnhKXXdsTC++LTj83acFoDRgTDKBl6nH583Zhsp8lADohubeEeLfysM43qMt/uILCxtU8PTZF/Q53i3NWllCXuSn0wRwQAZIdNmhUlQIxbNhI/Pmup58FELssQzwHedhd+dVt61+Hgf+4bjBmOgtXDAEwvedcsr/xPFRnYBT6sCcpL4SsCQWvD8WqF7rlqwOWqIM0DV6DMN/wWnTPKIExH7sq1obWPvs0V7ts11y8+Hutnr4PKENSBQgcCxoMqTIkCEWEibU8aQMGTduHEmcONENmYtlMlbZiAMEgBI2nFwcWcZMHT9+6tTJeHHLFhlbuGx0QpPmRi8mTCDY2WCngJ9ABQQA8LGEjJpObJRYemPjRhtKiQ4gUKAqAapVCyxYUABKFDuhWBFbtm2bOnv4+KlVi69tW3vx4GGbm6yuMmXEiJU1W5YZLVVyrgiZIKKwCCFCgpiYwcWlSy5YnkheciblyTMHdeQAUQJEh6tZ/4ke/S8kGS+o/1Gb8KD1gAUNEiRUCBIlR5IkOGZsNLORtO/fwIMLH068uPHjyJMPD9lbdFUPHkJ8pkqBQg7JWJyWUennTqXvsMLHGj/+knnzle74MVNyZZUbHZo+hAiRTFKoNUNCrVImUSJFnXSiSzLYaNPOge2oo6A622gzFzbx2INWPhT2YyE/9qiTDTO+0PJIG1vgkMMSbBx0kEKaYeEQRBS16EZGDtnnhAxLDQACCKZdpEVJKPWoUoxOVMGFTEjR5JITJlyBQE8ICLDTkg1E2aQAH8ng1H0lEFWUlU5FBcAAUz1XAAFgDlDVE1AswgorZJl1VlprxdkWPfTAA481eO6SjDLLtP+5V19/2bHGBIQWRugEQQThxZCMRvbEEiaecUYdZpyxxBI6ePRlVlWJFlJSouHARRleXHHFD1fktNUCr0UQAW1Q3HbbdZI9MYNyuOaq66689mqaE6NVRUF0IYRAHQU6MPQEFipud9J3lYQnHnmxnHfJd364ocWOZvBmAwqfPiSRRU6gYC5U6NqwWxkRAUgKgdggmOCC6jg4V4T20ENhPhZaiI892/RJiyeOuBHZGWwkXIRBQyS7bEYstjiuG+wB6aWNTYl0URXddqceSnVYhBFvVaArkhMv2fAClE0G4GSUMPdEZQkylVFFUllqSVQJTfGGs5ZmFkBBAQNIJTRlfrz/4kubCqIFZ5z8zFnnnXkmQwwzzPy5l1+qCHqoAw4cmuiiQ94wwwwjQmoQZd0+qpmmZg5bgGg3nAzsP6JyUeoPfKcKwlbVUQAFFDnMgAMOSaR96RM5hNDr45BHLvlxnzpxg3OBE3sssktIZhJ3k0ArLbXVWlvJJHWQsa0WM5ksEn3kmovCUrSry9+Qbbiry1xn2XMgvfZCKKG+FfaLDz1lLdOhRJV2B4fCB3WOnRkRU0QfjBbnfGPGGPHoMcghk2RzySBp/BIKK0tJpcsxq/9RzTcrtZTOAODA31NeblpV0Zt6cMYialpaWZqGFqixJV9Tw5M19HS1bGgNUF0b1AQq/7CTB1SgAhJQFBa40JEQ5CAHOjDREDrHLMnkwAMeCdOwSHOy99yAUXvrmwkOBx3b3MZWOTEBCJOVrA9O7odADCKvjmID5witOtBhzRE594RJncQP0AIPLEhXOvRUIiVl0IJNiuQELYxkJO+ByuyWAoIbNEVIXMhdJ0ixu3j0DkELslc88EU8fvUrH/RohzYCRgtaoA4ld7jD8xLGBklJz4l1sJ7IyIA9hySlI9urG4y40yPLvKiRG+lA+Voigw78xCdDAYCTnuQTAdjIfk6Jnw1olCUQ4OCMM6GRVK7Cvy8NYAYADIUt8jLA3j2NLW+Ji52+sUA9KWOPD9wG17yGQf8JRCA2sYkCFJ5wOM+gjYc8xA7jGkcm0MyNNMxJ5ai80AUqmNMLQsrNDDZ4G9SYKie2+aA8cyDEetrznsKBTuCGBR1hVUcHlJkUSqIILfOQ5zxx0AMc1KMS9tynck6A0c1s0iX53agDHQiJS9zgLgLhS0K/WxCE5ji8ffWrH/mwkza0obxXgGISlbwDIRNmqSVcpzIqqYh9wsVIiYaxBODiz+cqmRKRYe8iQbpBGTXmBBxgNCha6kAOg9KBU4aTPzKy3I1wdNUq5MyWtfxIFXSHl15K6JdumaNa44GNutRlLivdC4OU+Rc5qMGCzixABHIYgQ/O4AY2MNuINCPPWjX/rlicctxvzHizL5KhC5DtAjqzs5EytKENdVDEqZRkgg7c6GzyxKdoRyvEJe7ztJyrzEAJ+h1rWUuhC7UMyVzXvacEtSTx64zZNAmSjXZUeBJSx7wWtNaSFs9CKYXHN1i6jFe4FHUnCSQcpjvdmjbRMuPaKU8z0q1ulQxdHBuqj0S2Ixgh9T1/1Rh6QRBWqdyolmCSzuyYUzGkmu1GIFEXbr9Kv52RAUC6GJAytpENAj7NLXBZK1vd+qAC9ZJBHALMXR/gzK1s9Yge6AC40GbTwoG2w8Y6lgcIAJxXNtax4suIF8nQhkc4QhFq4BsVXsBKEKBtRPQkrY53rCvTojZz/x98gkmgyNpKuNY8Cg1kUTUC2PJpTKJK0e/4vmVGM2oSJlvg6Brh1Tt6KYitajWuHZFrJ3Ew1xcufSlMPSbdOxhSUpasj2M0RgbtSDRIu/mcSvbsEC3ieaI0YWxNNnKDw9FOSyWoZs5shNHapVKL78EvflIpg/4iWgb/FZAujmnWAgLzXwpmKzbu0mBkLkiZvpDwDyjsKhQOAHBDC8GGcezhDxK2qiL2AHAyxkXHbAF7WiTDFtrA0Rj/gApdQJkMcODBS2mGx9COdnEw7IHqoIiwH2SWGYjM2vPo4dtJZqjIkmLlujnWZjfYZJ1dCEuliirLAOayl4n7IDci8Lgovf/HPdoRMDQ7FxRqBmQgB+5mSXWLJcL2tUa4IAMsD8lZ3WUPRPbMHqTSJF2DTqU4OchKo7ikmls1V86M8sqmmBG/MoBoyWRpaaOQIRGq6MQuTe1LObUl1A2Ga1zdBOFUy2EOQAh6oly1quoUQDod4HCHba2ZGeB6iazxTeUaDpUzHlV1G2GU3vh27C644ePNvlSOpU32svuz2hRQiAV66OEzPgta0oUDuL89XXEjVYzx4d4XLfdKpla5sZbrQN60PCACEXje6si5Ouh0D3znQ9/8Vp6/0zyJNbP5Y5Ty7ordcFlij6/hDXeJsxpa354e3OJQASp+zivo2pIPooW+0bf/+Lszz3i2aEZBSrrIyN5a8qwMjoD50phWc5vjvNRaOzXXOjEHNQQ96M6kAKxH3AEPKk4zPCycZ0OA9sB9UzQnUwpp1tmskST1cIczAdepoAjOc9D6mBp72efPYx+n/QIXiB7jDMfYbUdx4NP1bQkTW+FzcRZVRhNlflUwAyGgGyfzdw9oNkOiZWy0J8jEcwoSPNggXPSgb8f1eHmUPL4weWpGSd3hIz8SIy/nH/5hBtkBFS8QWYnAHZlXBSvWUwh3cbMDLrAXAmb0ZC74XTmSVBiVepZWJrU0hPLDgxgVArWEAjdgEo7QR8xAfGcFNTd3fA6WDQ70YHQVc3NAB8YG/wRXEAXStwBycxXF8kGX0oaLYyto031Gx0I79RvrhFUycjm+cSrHpgiO0AZcwIAeEFr0V4g7JjRqZwH4l38jZCshUEY980QDJykzRVNnUHEPNTtbBQIpp3s3wH0e4ICWY0aVY0YbxAWZ1QmZEGC2gBcXuBcaiCD61nj8QiH3kEcrxVL+BnDQZYJ+UHmoMzH9oQhyUIyL0C2oYU7KqAiLQHG84UXboh0W91BFYgOeVUafUgXMAlirt25KFR/zc4RgoiVDmCVLARXVRyZaAoUm8QieQAvDN0BXaHwKhnxcKFcMsiF/wXxiSAQyZENKpIZraGttKCk1hSk6kES6xkI0If8cG+ESMiAc5tQF7dcHZnBC0GGIGqljaad2i8iIIIaAWBBxlWJIbRg9JHQDDUc7GKUpRUE7SxECz1E43Jgu+8ExXNAHdbAIoZAJPkkKtrBLeqE1KyVcdsIOSEmLtngPdqJc2kAMaBZwe/ZEKFF5LzURfdAHi2AHdkAHc2AHXmAGpaIGZKkGcyAHzDgkpwdG2aGCqZQfNfaInMEUZ1OTEWUzOOMZN2JplvYrXpJf6eh7UZhI7wiPfvImNpdga1Vq4gBHClIW+giGYsh1V4BO7yeQSAgCbBhQlRh/vtEppAGax3EFpBGD7GIGjBN1G7ma9+QBCfGRHxk9H1QsNzCSNlP/dTPgNoGTLCAWVgNQfe1FP3EzLD6IA+hyjrZjBlnpB1vJB3TwkzI3Fn1ymEZpJ+2QlPvClE2pXOLQXC9VSVT5i5MAcKDgCQQzCVppB3zgnGAplldAB/AJn6ZCNms5MgiHg9kjFU4IXwMgX/uBWzgTH48YnH0ZfoiGjp8hmFLoCIXZJ/J4YMFUj3PxDY3JDo6ZPMvXfFzXdcLmVFdBAE4INM0mKdQlgCMkfxg2Gmj3fcRBBVwnGjBREpExh6xZo0Hkmh+ZiGunLJR1P0lhLtanTwUwiLMpHcKJhEdIADUUHfglO+DFMcvZnM4Jn6TQCargC1XooAV2IE0pDuLADvdQ/w9iWg/byZ3DsCZ/RFQpAUBrogrm+QjouZXqOQeVWQWlEobwSaeo8XD3iZ8yclQ0wXK/uZdSASZzeVX3UWVKxZc642QzcqDfglG1hIDswqB95KBm4TTAJCGhxlbf8A3XaaG/sxfKowpgaGwylmwv0XtlUnscRqIBmDAjpBn9tKLfJDSqWRwuemyjIQMygQUnZKPCCkQFoIj4p6M72kQVYzNaVHVmMwP6xE+hWJcuWagf6pv9SX4MuFUahh9dxB9ZmZ7rWZZz0AmsMILOkK7cwA0Isp2hOqZiqp2f2gzNYAus0IxZOXBZmUuhEAqd4IeP8Ag7Kad16gSQRQXFKAdUUP+Zp1gFKEYfWdVTF5dy6KKJigofX2UUtqNxLjSORWFLB1plGVuxt1cmruSwEXGpTHNWbhGhCvapX4qUIZU8eRFzP4eqXbeShToAS5FygkUZbEBdsipCqMUpQ7qQxvECyvgCoXIUnzisUDs5xnoBFoBaDjMp9bE6TgFYSbdD0NGAzPIetBc0Y8I/YBIfqaRU7FWEGsM6ZRCuW4kHfIAGQPAD5coKrwAM6rqu7Vqm7LAO6wCv9bAO5PANwtAMuBAWdZCv+iqnzomWjhCwEgFAqQEVWhBZmLuADuhYLEIu3Tgj55gfQAVL5NOonVhZQAIfYAKTZUI7KNCSjcqD3/K6VcX/P0eRsgIkj07TsoqpVvBwIEgpqvNCs7awRhq6oTNGeztzFEHyBAA1gM9jKSayMAqROdKqWMdxuZBlRjAatd4rOfdXtXJzRA6TEtk1Mqp0A4PVOGjLHl4lnLiqjrYUH+p1X1NBvyNjEn3AnHaAB2ggBEDQAGogB3gLDHrrDOsavGUKD38LuPBKuIYbDLhQCvfqB2cgSIEkro8LsC4GERnBcd5qfk0FiXTmRZ1rH+ASfjnjlzc5W7SXXxyTg/CBUUxYfd1qjQnKP8hJsvtJFEdBBlOYu5m6uwgWar8bvMI7VwFDDLZACmGIs8cmFC1nGmUQGQEFB5LivCG0MEVwrOKb/zlIixxbYB/v0QHfe8aQg4hgnETJUhkucj0XJ1h+xVitw3L6c3RGsRQYVTcUZWVsG1ElCUByugZ0+wAN8ANyoArOdcDryg1I+amQzMCAG7hjSrjkIAwSPAql8AdRIE1ncBvpqZ52gJacRx8xMSQ4QCOh52s0sj1cNB/konqBSo5clEqph4RFA4W1mR01McM0rMtVFqmtC5OyYy4luzNb4AS4e5gsy7tGHKoymyCkugxMTArwGWOHzDcyIxShpCXMq42SYZBnsE0hVBBdnBA/lpHJgWVbgF5o/M67whUe0EPEMs8AZb4Sc0lJdTZnE7bfpXusCiZ8/KM8SLrvcS7qgv8FSXAGb/AGf/AHgrIGQRclCJsIi7y33OClkAzJDSy4lhzBmzAKf7AGnbwEtyEpUbAGKk1OwuZYMRFpMLmSXwWJLrQRD7ExnsW6NuKtfyaEGIUVY4JR8cHPihqpF8XHZdx7ACC7qQdULTmOmxQR75i7vpQWzqxgR4yUjbwX2dAnTNyvk9k+TPICL8BfPANLLlgrf8VhJlK9qJVEomkc3xyH8FzXytFsmlEsHgRQkzIR5lkRGoEF/KxtQkgT9qG6HvsrOKNb6+S+Tc0zstLQfyC3zvcDMIPIiuAJeau3jazRG/0Nfyu4gwvBmBwMnAAIiWKGC5AEbTg4UOAFFjOEkVb/rf31WUR9YuulMxfFg0GiEU0NAjIpNEMqHcCt18VywyhwtuYWeE0KUanXhB4LEuJiqVQ9j1Hjsr57nY28rn/i1bbQr3aAzWLdE2X9VcrtsOvGf1DBYcnyY+49NMghElWcAytk1/ZdHPOk14PYRIkkEX89MZSyjVanSoYdeFW1M6bRrNZoRuT3ghaFOLfh0P6LBkRQ4WDjAD8wwBadt3vr2RstDpTs0YX7DcFg2oAQBkEQAWfIQ7IiE816LoOmtoxKFJvoyn4m4zujqKp3P9+liVRRbV/rWUJtw7ylx/i7MVhAijlyd7TrsR9hA9PdR9XtadcNalit3VvdIAGjPKzQ/6+hwAfGJtY7Ud5AMxUDbTnSQTtyjJHPIYdFG99BAqy5et90HhwYmUTX0S0R0SJTWYMax0UIahSdyCyCHcxxvo2zdyOystApTeEVbgVWkAAJYAVEMMBq8grpisAZ7eGf6sAi/qklzgmnHQRSYAHTtxW4wc/G4oOfElhbhcuIxnuGGhJ+toklt7WRNBNx/BmJtccX22S1o3d+OhL1sVPvFesoUAVSbZhkYWBWXcRrZZ3ssNW5mBep1uWhIArrWeGW3QAPQGEIYAJjtLO/iS6fOGK4VwI3BtcKucYKyaLBkcrJvIB1Xu/EoZDR0diVOhF93lBThqgdl1+DNk93OGgMKP9rZLToC10qQEAEkG4FSKAAEp8ADjDAa8LI66rR9Pqp5EDJFFIP7/AO6zCvuDAKp/0FpX4AB8BPW4XvX1uTqbeJhgqTh+bDKgwACKjro7g9PB14H3oVRVg5qkMTI5fgNwg7SH9JVWDHSxEAGLUdoKA0K9vMVy1MWd0O3FAW2nAXeNEh2K7tYM7t3u5MEUAA3QwmHzqXJQCKI6YlxW3c+o12X2vcWbEAwUE2JWfvei8cuEqb2ihxEeGLsiWE6uJdI2vY2oh2vClkLkjfQ6OGbPgESaA3e+PwEI8EmK8AFN8AaFnAGJ3R9NoM39DxYvrxIQ/BiIsLnLAJgCAFF6Dy/BT/9/sUHRlFsc5q3BrG1F/1w0mR4+VHxp/IGSlsX7ULojndjeZXaR9BZ8QuMRVBMe+B7AHQn2YwCVI/9UQM7dsZvO3gQA6iDMmwS6rwF14O9pOJKiq+APBVfXoNX8Itv/Gl19cIirF/jdWnTx5g93sYlhy09/4PEP8EDhTowcOMGzeqLCxDhowbN3Uk+qF45gwWLDdslLCBxQzGEgBEcnTipAzGHBQoDBlSZAgbNiwtXLBQkwKUKDm9eOlChcoPIkSsWEFSVEECBw2uKFL1ChYwZ864TRX3rdm3b+Teba3Xdes6clibBQu2CZAUCwcOUCjgIcRbDwVUUjAYQqMNvBtB/+zdOwBECcB5N4504tBJyBI3PDZ0uDBh3pIlbXQA0aHDYxR4SzokIxmwjM2c3TgiXdp0RCwzQgwYAKAEChSWQ9QBBcvZsm3b2rWjR88ePuDBfceDVxweO+TsuGXbpk1ZMl26bKmipYpVKOyhRGWaM+fKFShJFixgXX5Ah7etRQ4o0J6A+fIE0rMmIJduiL1vQxikO57gvyu8qIKL/wo08EAEE1RwQQYbdPBBCCP874bInLChpC0KKyMii85Y4okcEIJNsSeemAGEkTjqCIsSZ8ihpSJilHHGGKWQQoLvvvPpB6CCGupHB5K6Qo5EQHHKNme66UYcJskhB5ytuKpnHf8qwcKKrE02ecOC8VTyIAcwDRLzLQolu4EvEMwTybULSwrJtSrKKMMJGQC7YQaM5CyjipIWWigyvEq4TLEqAsXLT0T5xAEHLrjY4iFHHpH0EdNIq8OMJ+IqgAACLIutAyz8eEoqbsTZrTd6ggMOVXraQY5KdsSZijlinovOFmJ88YUYVmzx1ZbsFvECiifEc0+980J4Dz5ON2VtvbbeE6k+L/GDS0yDFjCIIBMElPBbcMMVd1xyGSysM7wIOrcMEHWYy63MbsihxBxuACywO0s08cUijvD3X4D9nSIFCRpogEeEEQ5q4aAOVoPISSappJJYjlHy4ifNcccdrqqsMqz/b7B8g4IF5qJABx3AfMuyDtrs80wU15SZzcLoHCnOPTcqoTI8sZDTMDLkXChQfKvAYmg775wBIYUW4mLRRkeL1BOqq6bakTrOSEkl91gGdZJRqeLtnt5UZdVVdj6earltaoVOOmKWkZsYuulm5e5FFrnURU3VA2AA/cpbr772kG2rAMOrBWE/LwfyoPFyI5d8csor/6dmCwvsc4bH3w2hZXmXWCJEwWxwUQfRl2gpYNYFTqECgxOWfXaEqUikjT78oNjii7s55xyNN37HY4/DEkaYUkZewD6UPwzxhjpJOrcKmGee+cLOZLjZTxtQKIG1EPA0gzGHhC60+8wuxPl8/xsSUg2EpT36SLU4pU5EFfytpjprk9na9PMOmAFspOIGcu5xwFStih4HTE7aqNSNtTFjGbWKDtyWIUG5yY0ZvnjFKyYhkZNsDXFrAt9b0gQtrqmHWiP8W1vqAhe2eMBxcimA5Wx4QxzmUF2ZO5AN/kG4d4GORS1amvtclAPVwah1APvAEQY2gSARQXZqmJ0arGhFKnRhC1wwwx2eYrHf/c4c4AAHx4ZHPCo56XineENcTAYmjPAJLzLAXtCoFzPrrYkkg3FN06jnPdYMiiHl417pNiO0kiREkQnBSIm8YIIAeWE0ilBEJzqhiEQ4omqg8MMZ3GWyunRKgLZZmwERyP+qBd6jgexQ0tqcIUG6/SpXF9QgM2ypq1eA4oNl4JymlmWexXUgcWxZln02NThsaaqG/2mPDp35TGjqsC0oy0EIcKCQRoIITGBa2hOWEKMlBuwDGNhACoQghKAg7IrrZCcWtchF3QHDYtMA3hjJaMauoNFJwxgGG9nyriJWCDJ6KtSbrFeevwBGZnRsnzD98hrIrM9e0qvQuezop4pWIQlJwMkVfnCFLmRSEXKgwxzkoIipgUKXfvgkKKvZgTIMcG2nOiWqGMiO3SBnbdyISgbphr9c+SKDQ8WlLutQBf20R6nP+ltl4mMf/7WHa9JK1n4MssxoZlWrW6VcDlD3PIX/lAFT3mzeh0q0utalIQ1M3EE5zxkUIPBIDXSgKx34UFe8qoEKL5DBFqpQh0rA4hjHmEY1zGHPcUCpK145I1gg6AxY3KF/btGMYfKyEDMgLY9/E5z1VGSZTnUgfSqKU2bfBBrOpLZ8elItGTTK0SDE9Qe2c4Qi5kDXOaD0EZNQ6ST8sIT+UdMDBBglqZCTygMm96YNdGVUbiM3X9BCurTQlVCHugxc5vJSNwCtVJ1Fws9Vxqr9e5db+IKezmGVq+tlb3sbNK8Qxc8MY0VZfVGmRNapNWA7aGsKgnBOIADBinwgcIFL2p3b0kGvfAUNYAVL2GoYloxkfMdio3TGVkK2/xL/vE8HSgAaQOHFj+dTaIp2Zhk83kvFn3qMzjiCKMTUsbVBy5NqnTAg2HpUr4lwgyLsQOCTRipivr3DElqKOufNoLhTMaVyk7tKnU4lKsAARnWnO11dXRe6HDSqY9DrP/PIRz/jJS9d3KIfMfnPvWtmc5v/sU0w6YteOfDAfWf0L7Xmea37xYAGNBAEQA+4wIM2qRwMTdcFM+qvgR1sYSM8YSitI58XfmA3nBGLSoxHqQQYifqoZ5mEJMrFKuoeyxR5IRvUiU02GFqqdwaCRRrSTz8zjNGOxpk+DQgLO7mCT7rghjYkwg7DDjKlIuaHO3gIZRSY1xnmRxtSFtDJyv9tFdpY2UqeOgMYsOjglaX7iupqGbtcBqGFbrAf9zSrLSsjc01skszOcc3N86b3Vo84L9GBSDWPmwk48azWQujXXzFqyQUMfgENRCEIaigwHhxO4JISKRFyuK0aAtSoMgC2YoR19DSmoaR1XFjk61DSMYBRCfEsgFN+S4zS9nKXG3Pvwy5DX9N+ZqE3Ye/GMEvIXlwD4kTe6Wi0vvHS+GQYRS6EDF1gehfI0Kg65G0RmCxNHZCdbDYYWQdPMEMd3HAS2kClgJLuSj7MntxqK6d3SooKt18h3arRooPgtq6WOehBr6Pr3EqFal0Wx7ia0MQCZk6zu9lSb8QnHodHTN3/6KoZArnM5AIBy3MhAv6vIjje3QdIwhKi8GMCO/zhJUXpxCt+cS5kfHccj7DHQS7ykSvp5Ev4Hx5dA7+lIcTDmSkt+84lGfWNryFuEglqi/6WpaV4ekpbDGN2npCaUQ8hoeEMZs1AET/UoepWv8Md4MAGDy3hDNp3hBuu/wpgMHmxZj87Al3FjbWXfNsq9URpqDb3LIsbu7mcRPm1gJcOAKLyQjN+k7zB65/AGzwZUjwGbMBxIZEkSpkQ2YuSkTwMAJgiYAM9G7ghqJcQoICa2Kgk+DzQc7hREIXtIIWTGilEQz3V2ziPaz16OgfYi5IqUZJiOIUoiAATOBGDajk//9GIwDCJPYE5XIsMjPKM4ouMpdEPytAjJAw1sfo6w3CCpHsZ6MOQLXgUL7iCIIgCKOgDMcQ+7Os+OICDDiE/S/GDV1iGAmKH9Wu/m4K/+BssTKuE/qsUleqgurM7/ruUKrAM+mgLwquLNANBdztARExEunBAR3xEB2E1LEiiIUgZa8KBjVqAmcAAThw4GWEDGaGJAkARaqGAjfKDvLmCYcODUTjBTMgEUiCF7lgnO1gEMVS9B4vBCDMsGrww4WksHNyENZCACMACVVvCijIUDfm0sLq5ZJSB6GmND6MjqzIvFQNCPikMiIAIh9ACJKQehfjGKtjCLegCLwS0KDiDJP/wvjO8A4oww+5zR+2blD6YhDZ8w8Wqh5pKjvgruWPANHeslNJ4O1+wJedyrg3iv04arg5AJng7xLlIRIm0CQmERIu8yP8wCQ9piSGgAPzAxI0aAgvkRAwwOJYYAiMzCKZij5M5A4q4FDPwgmEbBeyIxVe0qysaNlvsg4hgNNbbxcPqxXfYGDOqNHIQhk3AA0DzAi44RtQ6wo2oIyvsgJ4hOs8wqM5qITERrWuEtXB0CKlxg27EtSvsDHB0FDLownMCtPBoAjbQg3aMRzjovpfUJE94hD4ABaGStnwkm954v37sBju8BD0ISIHUJFrIoIN0LmDIpdwBLhb6mzEjszL/C7yDswmVqC+M3EyLNJqNZAnyeAucgAIoGMmSpImTASvvISEC+BKXlIhGMYNFCIVSGAVfuYVbQMG60smdtLrV8zhHMyxzEEqi/AqMQcpRwIM1EJZAXMLUAj6plL48cUY+ig9laQ3WsA8PuIu8WKSje4httDErDLVaOxMc4MIrWMsgaEs2OMO5NMN2zD5HuB9VSIRFYIVhYBI47Ms5pMPeGax/JEw09IOwtL/qqJthcC5+6ie8WQTaIw8SQrHFEUDyskyDw8yT2boc4EwOZcAQmJcnWLbx0JYIALQgiIAISIuDQ811a7FUg8Y7mZeug4hG4YL7LAVcyFFcwM1XhEU5/5C6Y5OYWKiYWSjSXRTOrSDKoryYYigGXCiFP/gDO1iDKDAB1oCfo8mo0Mi1ROETVWMNTXOhYpqLegG+pEvC1JITb6yQWXMt7gKB8yyDLgQCdMyBjeoQi2DHduwDSmEK/FmEU8hPcSCermAg/xRMAB3MONAD8CPQSvEE6aIbZVAGYlDQYXhS7LCDYWGq9UAPyghAdYOqiZzI1AyRHvKhDk3Vreq7BRyA8fCACJCACqgAYhyPmbCJTRGzEVsIjJjOWrs+VjiFU8AFYQiGHdUFWLykRBiyiJmYIT2GIjXSCDssJf1Fkiu5fjqFUigFh/vCEf2SGfCwDxuk5wSURXoTV/81vKtSKjLNxoYqk+eDVyKUI5cJGqHpnnGV053YiR7EAfmxCPGDCbi8Az5NhErqBOwohWYQB3JIo4Yluyn5z0SNhVkohDiACfHzOtOAVF1xG0r1BWAQVuQUBT7wDi/wm/UYM2axD0ZEQMMzVQNpE1RVVZqVJpPZlIFw1VitgAmgVROgwKnCj73omfkq2qKlNS3Qgr+SGFgYhuMhi2PtBFW4S5VSqYm5hCGl2GidBaCs1l/0R5ODBW1NTiolmZJhC/WQgSoQPvHEV/TwmwEAQcGjC/I6iCroDCucvsa4AYIIvlarIznJLMFYW6K7k688CW96iYHtg9rqhFjEDmJ1Eof/bdh8utZE/cdYuIRCOIKSHAKuMwOpQUxakCBlqCBbYIVX0NZN4IRRgLgsMijOUllkoRbLPED+QETUXEAD+b2a7d0ccqFtIQgUlVValYCfzY8xCzVbM9qjJR+lLQPdoRhZKIanbYZbmI6p9YSqBYWrzVpZ2NpWeLQyqtat+B1E/UdZqE3l/EIUHbzxuNKwai0L+dLzCAABEAATSNG5fZf2MIgZyMbxBGDH6Ns4QZo2aYxCirlxJEcZ2AuXMRpvggk2gIKpkwOERcFRINasmFyPuZhj0LasvYQ4SANOvACUnK/Q5VhJrSCpvY5WFD0+sIMAKbH1KKET+hvalch3UQl1/0UQl/FdILah8MGIApEAIybGCDCIYEKPD/WZDTGDMyiR5hMrPdGT66sErI2FJqXeHL0bWtgk7r3aS8BaWRCGWqiFVgjfapgwr3UH8wXQWJAFTIDSNQA0CfAztXjfvQAxqDzGv+kAAUAAQY4ADcDQTVsZjWDTLuWhf8CeIgQBzYiMXc1GBn4TkvATFkmCIZCCKFiDNbCDUGjFVozch0Ujy52yIRXhOCiCgxsCi9BYxFQFYvCV6IhFUrCkULAD0cODP6BSL8CBNIHbEppdliVVui0vbCmQdAliZqYcJ/BGAzHiCMhMMLkBFIjRHBg/iMgasxI+sfLmrkM2OBjjitnibP9lBVAA4zAe4zEu42A441bIBWnwBnBILK99h3MouWi9BDhYBE8+pztWiwN439Z4Sjf9i5mxXwRogAcgRpKZi64RLdhIn81wjK90goEIjTuC5NJhtXsVDD/2i8PFgiTQAYULAjQwQVHGhWaQXCqp3GvNtm2DhTHWgyZg5QvIQDZwR6mRLlWwhQrSBVtOMAIbtj94AyjwEDpbDZQFnM8ZxHjj4VtVwG1xoZttZqy+oZo5kCTeqHy7CxfJWEtR6ieY4j1Z2+vzAzjQA3LeuLDltnSmmqqdGCxuZzOG51xABkgbXyXN527wuCK9hErwgzVAg3OqAA0QPBTtlJ97mRNBWQD/CICFZmgEiIAuMTMASp/uqazOOLeLntno67lrPJSPfg3vwcrFoRCH4IIkKIBYnQAhcDhOYN0MFoYNhtgblGlYgIVKYCMbEbyXoMvRgNTqAOpajsVZXKc1eAM4aIImEB2VaWqnJkAvKcC5DV6BgCrCy2rulhxswoEDEUGLyCw6CutXvpQo1pc4+pMbg2LvY+ssrpgh3W36k+u5rutLwIQz3u9W2GsllQeN2QolmYZZyNxKuIM6FoKevWMNkOYI4DQAoKO8rQvoeZNANpgGQAAr1TTkUySmSeQKGYhwZOQ2GZCnUbFIxqi8WE2ZebnIwIHleW0hSGlA4IQsCQbbLuXK/82wme7tN6hjP0sLt3RH+STun66gV+yOHfkBIBACKm3uJgg/OpMWEhoA+XjIAlRX3c3uh+xuLxeXI9rygRAQLsA+M7AQFAhr8cPTsZJiLCidKjgD72PnrM3aialv+27Wuo7W/a6FaCAjw1JSbzgs4xTMzOVnQFPwBSdeI7ZS1wCMDhCTHDiaLQgJycZwBHCoQMImFomzo3HXCUmICRkQcsy5ZEQU7mKNa1SRhIBxCojVc0IDNKjxTSCLHC/lG7Q0yOLtSniDXhaCO76AA2iCJBDDepwEIzduZM0EOsiiFxCItZSCM4xyZYsLyM5OMSmIeDM8lUiQZPpycI+Q9Ap1Lf8IGqvLPjRX83z7XEyB7hkgmhuIYD2IA3aud8GuBDy3mnW+hIpN4/2Ohj8Xzo05LEIfnpI79DeQgiCYAIZveIb32dUgIfso6zJoysie7AwXAJl5sfnypg/xCDlyEIVwiEoXCZ2zEPU5CdVgDdjAi5Z3ny6B9XMSgjAAhFrH8axw6UqztG2bGD348cO+Y+eWx4gxEp9W9ky4qywaCNgOAml3T/Azsmq6drnA7qjuHwXhDzEPd65PkGYiiEXJEG2UiKOajA/1KmoqawimJq4EAR04STaIA7m393vH97i2Grl7BTHm81p451rYa0A3rEK/tMzVgzp2eIeHePhoj3k5Gov/DwATmGwEuN8ACICfQ2s5G59CeZAZ4AmmQwHnRHPem6/U+Jx7AWm+GA+Zn3mbt/Wcl1xy8OCerwQ90AOFX0sJuIAol7q76f0jj45X5AO9IohZ/UI9dU+LeAJglplSVK9/4LuvX5DHwe6ur34GYZQtjAzwfOTwCRP/PRos8Cq68DAQgBEJjnu5T389mBi387bpmrvdHtIi7fMzBvhxSCxwAE7z1fWe9/X/AogJAh9UqCBBQgQTIQYwJOAwRIgZN2zIKAFggAkTCDZufCEgAAAQN6pgKVmyShUb/1autHGDJcyVCxJeoULlRYASMpzwtFEChY0qZoaWvGGxhA2eTnwy/xwAIoKECkKmosEzalQwYd/Ice1KrtuxY7EqwYGjh42UIGuCBJEyhM2bRaFCnarLipUtXbp27cqUic6PmP8kRIFyp6yeS3rg3Llz5kkOHCUsEihAgYLgzCtvOLkxQ7MHD5pHky5t+jTq1KpXs27t2nUVpTaSkqldpsoNECAg8oboeUaOywU6APBQJA1y5GyOMD+Sho2eSpVe0apu3bqv7K9ewYIV9lit8OJrRSsfDRy4aeq7sXfmDBisSqf+rBEy8MEDhBE8QBxQ4H8BIXSAwmSTXTRAZVBd8cMPVJjQgVMioVRbTzGhVMVoM0nQQAMIvECgDDLMRuBsQg1lBhZGAf8AwE5kLGXRik9FdQJVVo2Ci1bkrLOOV2CJRRYbbBQhBZFEBinFG3bMVUopuNjy5F58fZKJGoHFZAIWZvhxRyWXeCldY449cUNFlV2GWlJOkOQBZq+5+Saccco5J52mcUbhbGm6iBtvDhEAkW67hUbBcB3ocFwhhSDHHAaNHlEEHJWAch2lvixzqS/bAQOMM8UIE8x442VVzHffuQcfLPPhYd8E+CEQQQQLLLBbCGxS4MFEBq7YQQchyEpBBEEAMaxCgUrkBJ4qwSQUSpktAOyGHL5AUYgoEAiUmmWceBuMtDkhw4q7QlUBjUJUdRWOXO3YFaliKVYEvEW8xUZZZb3/8cdcodyICy636LVLL598AphmW3BRB5defildWWdgYQMKtRKKWotVPMFmAXVqvDHHHXvc2khKLTWbyLjNEMJDgAYaQg45CBiCDmzEkeiiRzgKb6ST0pJddthZugzPvgwzjDCfBnM00r/8crQw7Zp6aqqn2BGEQA4QFAEFsg7QqwctS+TTgQRkBKuswbIVhAkz4LD2DDNggdJSmTUrGAGwSrBgg9NWNFmePF34d0UiKgUuAB2YAFVUE9Q4SilFq0sOesWQGksslwh5AbxDNBFmY6ewEsott/Db7y187SLwX1YKtsUWbvjR5SWxdCcdWY6lCJzLqaGERQ6iffw78MEL/w+nSyHL1pLfM3hQQNctL7TiSFi07UHMcVifRnOPBkmvpNUF7Yt1r3xPzJP8Il300UovParT7r0HCyiLLHIFAooLhJDWW99wEpm6+Ye4fi6TliBEIQpV4ALvWua1z6SmABFAwBWAUBMqdGFakxEJZ0Q2shCRzG9kskgATHCQggikRpvYhOS6gp5pzEIslYsD9jAnrzM0pg+NuYstQlc600npE6KggxqoMJrWva5LspsdmB6TA7e9LSYajAnuQjC8KVKxilaESchcJAOWIEsLWLCVDnTQsgGsiDZVAM4SoKMHGDYnSHp4Y3R09jOghW87vmDGMsini9CZD33B+IUxAv/Jr2E47Rin2s4k6uAFEwRhKkLA3wIYwhktuMglIJCVA6NiEKwtYAhFesJtsPCEMOrgVr47zbMkAAQGUbCSPtHNsSj0IhjtxIPPA0AAxiWQEpoLEJuQRVhUCI5ZzIJyXmIjBjJ3Bj8wsw+TwGEydtiLaQbMh0C8yWiQVYcidqebYLrDEpZYBRctqwplKAOFYGKZU16xne5855xiQ04uaoEkwaFAGJcIAgCUgCdkKMMTnkDDw5yljfVazHS8dyk60mI7dsSjHvcoOlwkLZCCxJHkwuI+Z2QKFI9ogxcaKQS2xEpWIcjgnmYgq2dFoAL342QTYtqEJZzBDAEN42Umhhr/WAmLlV1g3RZm0wHdjARPMFpRP2tTBQiRsXBQOcEJdkkVX7aLXcSchcKsxyh4seEOfqjDJCYBCrwoIxl8oWY1RcGHOVyhCxXJpuuk001vVgKc4pznSkpiBnTidSU6hSdgAyvY08yNJfvjXWgS2zYO+nMoZxjoYYTE1XpFKqE7C1pDHSo+S5EvL7YYHS6UZtGL4qhpQ3MfMLYDij7Izw5rKYysPNC2DJ6xZb9qqUAqoAELHOAAMU3CEoIb0JblNCbK0owEznaFK3hBC0BVU26IGhuKHJWfScENCJryPw1okpdo4MQmmlYMdhVjE5jAxCWu15zJ+sERnvDEK/ASJWoK/8yHopiDHLzgBS7gQDDKckIZwFqJuSLxDk/4xwxi4wSYzCCgWOCJYDI22AlTuMKCCY3zQpBdhgiOJ1rQlpaYuSXHsGFe9aIddSilWc3yjBjEUMZn+TXa0Y6uaMI4LWph8YpEym8RhVlCPpc4EZe0TAdJKJtLT5ACDfR2pToYApTD+RlbwSRNC87MsNhSmBlQZAvmxA2MMKiicK0IBzfIzYoY8h9gRYC7LqXKKDaRlaaJY2jCOCF6rbeDeDGHXpN4b3VUMV/6+nCtclBEIm7DXy5W6AZmACsoCByfSvgBQ5t5CUuaJ8XSSNjCnv70FS1zK4nsc0Ut+ieItynir9ZBW/+PPfGAU3ydFTuUZxAlxuhmbFHQjm4YG33PK0ARVlWfAcg6CK7LeJMDIB8ZWlBd8gUOEMlaDUFeYlwJlRmtxcz8AAgEXEIScCCioJgBzDHqwAxKTeaQpLvUCBI1S2c0Fatwgmm+dsYwcAFeQASiEHGQbBGcEwc4/Nk6eQEYWqdkaEV81A3lxjRtyAmCR4uVO3Otax2unBmMmWadoP44yOc0G9A0b4mS4RtPzjmUOrA8kSx3gxtqY4aBVnY7lMrsilmhChcvA6K51rUx+HWVfd07x8KeRB+SDlxS4jSxCoSC3WaUgiVrIAIEGMACnjwEHZySnSuRTQkEk2UCQmEGILr/ENhCEigyXzBQBdLNAgBktzevwSpMa5p7hnEVQABiEIGYghTkxdXFFJwWqjg4wvniF/wqwg1tePxtLG3lBc+A4qCI9MUpbekLL6/TpPF6yEMv+tOoafMxOSxkhGxllKzcD2EdtiNgbpsRN0ZSsq6jZnH4pJ7nMYe3MCvCqcmXW4giFJ8tujOWAR/pJL0PSXj+sywgfQtsPdw4ONxBsn+QqetnpTkNDWlIhpuYnI0tVzABgXRy5r29PVAYrAIOssvPnchgw1F36QTU4ktZSM5pstjEKABCGPAAD3wBkcQUvXjVn6nC4elCMiSDNVgDX+hCJpDCoSWC420Bqo3fP1jZ//6YgRs4glhhXoEdmGC0zPKMngquIJyY021khhN8mCgFlIJ1xgduU1hd3iQ4QuzVxj+pmoiBwu1VB63Jly4oAzFcCjHo0AMCH1opni7YAjEUHaZM2h0o3ZEtwPTJ0BCEmwyIkEtt0ricwCatVGKdSWlcCKatBBREQU/lTYHwU4FYS/sd1gHREk9sAbhgROK0ygOohR5gQiyUilj8nwCGAQ3QgJJJQRMkgVfVwSM8AgN2ggMmAzZcYjJQYCd0QuPFnA8q1Rp2YFBkSQiK4OUNGO2A0wmiIAu2oiuqxt/AYG2Ikg48ARagU2d0QJbg4AjuoOzZBssFI1h5ws0VYV7ohf8URpRelJUTCh8yTqF74FGmTFol9BgUQJ30XYAMFUEjJsEY6tZlaAC5lOGs8MqggJ6F3MZx/UMSQMEb3kRFsF2e5Am6uc1eVQ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font-family="Fredoka One" font-weight="700" font-style="normal" letter-spacing="2.03" alignment-baseline="before-edge" transform="matrix(0.8371954324630368 -0.5468902542839948 0.5446574403310958 0.8386674730333802 87.11677234781712 433.07442224191846)" style="line-height:100%" xml:space="preserve" dominant-baseline="text-before-edge" fill="white" fill-opacity="1" filter="url(#shadow2762651)"><tspan x="312.46" dy="0em" alignment-baseline="before-edge" dominant-baseline="text-before-edge" text-anchor="middle">dmriprep</tspan></text></g><use xlink:href="#c6kUTz9yh" opacity="1" fill="#8964ae" fill-opacity="1"></use></g><g><use xlink:href="#aDmSFbrBT" opacity="1" fill="#bfb8c6" fill-opacity="1"></use><g><filter id="shadow535826" x="495.78" y="421.61" width="91" height="91" filterUnits="userSpaceOnUse" primitiveUnits="userSpaceOnUse"><feFlood></feFlood><feComposite in2="SourceAlpha" operator="out"></feComposite><feGaussianBlur stdDeviation="3.16"></feGaussianBlur><feOffset dx="-5" dy="-5" 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diff --git a/docs/index.rst b/docs/index.rst
index ff0c7abd..96940808 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,10 +1,11 @@
-Welcome to dmripreproc's documentation!
-=======================================
+Welcome to dmriprep's documentation!
+====================================
 
 .. toctree::
    :maxdepth: 2
    :caption: Contents:
 
+   readme
    installation
    usage
    contributing
diff --git a/docs/installation.rst b/docs/installation.rst
index b921afe0..145ede29 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -8,13 +8,13 @@ Installation
 Stable release
 --------------
 
-To install dmripreproc, run this command in your terminal:
+To install dmriprep, run this command in your terminal:
 
 .. code-block:: console
 
-    $ pip install dmripreproc
+    $ pip install dmriprep
 
-This is the preferred method to install dmripreproc, as it will always install the most recent stable release.
+This is the preferred method to install dmriprep, as it will always install the most recent stable release.
 
 If you don't have `pip`_ installed, this `Python installation guide`_ can guide
 you through the process.
@@ -26,19 +26,19 @@ you through the process.
 From sources
 ------------
 
-The sources for dmripreproc can be downloaded from the `Github repo`_.
+The sources for dmriprep can be downloaded from the `Github repo`_.
 
 You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/tigrlab/dmripreproc
+    $ git clone git://github.com/tigrlab/dmriprep
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/tigrlab/dmripreproc/tarball/master
+    $ curl  -OL https://github.com/tigrlab/dmriprep/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -47,5 +47,5 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/tigrlab/dmripreproc
-.. _tarball: https://github.com/tigrlab/dmripreproc/tarball/master
+.. _Github repo: https://github.com/tigrlab/dmriprep
+.. _tarball: https://github.com/tigrlab/dmriprep/tarball/master
diff --git a/docs/make.bat b/docs/make.bat
index 5d078c4d..c8af47bb 100644
--- a/docs/make.bat
+++ b/docs/make.bat
@@ -9,7 +9,7 @@ if "%SPHINXBUILD%" == "" (
 )
 set SOURCEDIR=.
 set BUILDDIR=_build
-set SPHINXPROJ=dmripreproc
+set SPHINXPROJ=dmriprep
 
 if "%1" == "" goto help
 
diff --git a/docs/modules.rst b/docs/modules.rst
index 498372a8..05dd5a95 100644
--- a/docs/modules.rst
+++ b/docs/modules.rst
@@ -1,7 +1,7 @@
-dmripreproc
-===========
+dmriprep
+========
 
 .. toctree::
    :maxdepth: 4
 
-   dmripreproc
+   dmriprep
diff --git a/docs/readme.rst b/docs/readme.rst
new file mode 100644
index 00000000..72a33558
--- /dev/null
+++ b/docs/readme.rst
@@ -0,0 +1 @@
+.. include:: ../README.rst
diff --git a/docs/usage.rst b/docs/usage.rst
index 80bb6949..a747741b 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -2,6 +2,6 @@
 Usage
 =====
 
-To use dmripreproc in a project::
+To use dmriprep in a project::
 
-    import dmripreproc
+    import dmriprep
diff --git a/references.xlsx b/references.xlsx
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diff --git a/requirements.txt b/requirements.txt
index 59b784e6..a899a967 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,6 @@
 Click>=7.0
 dipy==0.16.0
+duecredit==0.7.0
 nipype==1.2.0
 pandas==0.25.0
 parse==1.12.0
diff --git a/setup.cfg b/setup.cfg
index 065bb7ef..9182fb07 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,21 +1,101 @@
-[bumpversion]
-current_version = 0.1.0
-commit = True
-tag = True
+[metadata]
+url = https://github.com/nipy/dmriprep
+author = TIGRLab
+author_email = tigrlab@camh.ca
+maintainer = Anisha Keshavan
+maintainer_email = keshavan@berkeley.edu
+description = dMRIPrep is a robust and easy-to-use pipeline for preprocessing dMRI data.
+long_description = file:long_description.rst
+long_description_content_type = text/x-rst; charset=UTF-8
+license = 3-clause BSD
+classifiers =
+    Development Status :: 2 - Pre-Alpha
+    Intended Audience :: Science/Research
+    Topic :: Scientific/Engineering :: Image Recognition
+    License :: OSI Approved :: BSD License
+    Natural Language :: English
+    Programming Language :: Python :: 3.5
+    Programming Language :: Python :: 3.6
+    Programming Language :: Python :: 3.7
 
-[bumpversion:file:setup.py]
-search = version='{current_version}'
-replace = version='{new_version}'
+[options]
+python_requires = >=3.5
+install_requires =
+    Click>=6.0
+    dipy
+    nipype >=1.2.0
+    numpy
+    pandas
+    parse
+    tqdm
+    pybids ~= 0.9.2
+    matplotlib
+    numba
+    niworkflows ~= 0.10.2
+    nibabel >=2.2.1
+    sdcflows ~= 0.1.0
+test_requires =
+    coverage
+    codecov
+    pytest
+packages = find:
+include_package_data = True
 
-[bumpversion:file:dmripreproc/__init__.py]
-search = __version__ = '{current_version}'
-replace = __version__ = '{new_version}'
+[options.exclude_package_data]
+* = tests
 
-[bdist_wheel]
-universal = 1
+[options.extras_require]
+doc =
+    nbsphinx
+    packaging
+    pydot >=1.2.3
+    pydotplus
+    sphinx >=1.5.3
+    sphinx-argparse
+    sphinx_rtd_theme
+docs =
+    %(doc)s
+duecredit = duecredit
+tests =
+    coverage
+    codecov
+    pytest
+all =
+    %(doc)s
+    %(duecredit)s
+    %(tests)s
+
+[options.package_data]
+dmriprep =
+    data/*.json
+    data/*.nii.gz
+    data/*.mat
+    data/boilerplate.bib
+    VERSION
+
+[options.entry_points]
+console_scripts =
+    dmriprep=dmriprep.cli.run:main
+
+[versioneer]
+VCS = git
+style = pep440
+versionfile_source = dmriprep/_version.py
+versionfile_build = dmriprep/_version.py
+tag_prefix =
+parentdir_prefix =
 
 [flake8]
-exclude = docs
+max-line-length = 99
+doctests = True
+exclude=*build/
+putty-ignore =
+    */__init__.py : +F401
+    docs/conf.py : +E265
+/^\s*\.\. _.*?: http/ : +E501
+
+[bdist_wheel]
+universal = 1
 
 [aliases]
 # Define setup.py command aliases here
@@ -23,4 +103,3 @@ test = pytest
 
 [tool:pytest]
 collect_ignore = ['setup.py']
-
diff --git a/setup.py b/setup.py
index 5a85953e..b7d2e9d9 100644
--- a/setup.py
+++ b/setup.py
@@ -1,9 +1,12 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-"""The setup script."""
+""" dmriprep setup script """
 
+import sys
 from setuptools import setup, find_packages
+from setuptools.extension import Extension
+import versioneer
 
 with open("README.rst") as readme_file:
     readme = readme_file.read()
@@ -31,11 +34,11 @@
 
 setup(
     # project information
-    name="dmripreproc",
+    name="dmriprep",
     version="0.1.0",
     author="Michael Joseph",
     author_email="michael.joseph@camh.ca",
-    url="https://github.com/tigrlab/dmripreproc",
+    url="https://github.com/tigrlab/dmriprep",
     license="BSD license",
     # description
     description="Preprocessing of diffusion MRI data",
@@ -46,19 +49,19 @@
     setup_requires=setup_requirements,
     extras_require=extras_require,
     # packaging
-    packages=find_packages(include=["dmripreproc*"]),
+    packages=find_packages(include=["dmriprep*"]),
     include_package_data=True,
     zip_safe=False,
     # tests
     test_suite="tests",
     tests_require=test_requirements,
     # cli
-    entry_points={"console_scripts": ["dmripreproc=dmripreproc.cli:main"]},
+    entry_points={"console_scripts": ["dmriprep=dmriprep.cli:main"]},
     # metadata
     keywords="diffusion-mri diffusion-preprocessing bids",
     project_urls={
-        "Documentation": "https://dmripreproc.readthedocs.io/en/latest/",
-        "Tracker": "https://github.com/TIGRLab/dmripreproc/issues/",
+        "Documentation": "https://dmriprep.readthedocs.io/en/latest/",
+        "Tracker": "https://github.com/TIGRLab/dmriprep/issues/",
     },
     classifiers=[
         "Development Status :: 2 - Pre-Alpha",
diff --git a/tests/__init__.py b/tests/__init__.py
index 76197cd5..8b68ca39 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -1,3 +1,3 @@
 # -*- coding: utf-8 -*-
 
-"""Unit test package for dmripreproc."""
+"""Unit test package for dmriprep."""
diff --git a/tests/test_dmripreproc.py b/tests/test_dmriprep.py
similarity index 93%
rename from tests/test_dmripreproc.py
rename to tests/test_dmriprep.py
index 790a57b1..f789dd58 100644
--- a/tests/test_dmripreproc.py
+++ b/tests/test_dmriprep.py
@@ -1,12 +1,12 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-"""Tests for `dmripreproc` package."""
+"""Tests for `dmriprep` package."""
 
 import pytest
 from click.testing import CliRunner
 
-from dmripreproc import cli
+from dmriprep import cli
 
 
 @pytest.fixture
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 726468b4..271e3518 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,11 +1,11 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-"""Tests for `dmripreproc` package."""
+"""Tests for `dmriprep` package."""
 
 import numpy as np
 
-from dmripreproc.utils.hemisphere import is_hemispherical
+from dmriprep.utils.hemisphere import is_hemispherical
 
 
 def uniform_points_on_sphere(npoints=1, hemisphere=True, rotate=(0, 0, 0)):
diff --git a/tox.ini b/tox.ini
index 16279fc7..4347a530 100644
--- a/tox.ini
+++ b/tox.ini
@@ -10,7 +10,7 @@ python =
 [testenv:flake8]
 basepython = python
 deps = flake8
-commands = flake8 dmripreproc
+commands = flake8 dmriprep
 
 [testenv]
 setenv =
diff --git a/versioneer.py b/versioneer.py
new file mode 100644
index 00000000..64fea1c8
--- /dev/null
+++ b/versioneer.py
@@ -0,0 +1,1822 @@
+
+# Version: 0.18
+
+"""The Versioneer - like a rocketeer, but for versions.
+
+The Versioneer
+==============
+
+* like a rocketeer, but for versions!
+* https://github.com/warner/python-versioneer
+* Brian Warner
+* License: Public Domain
+* Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy
+* [![Latest Version]
+(https://pypip.in/version/versioneer/badge.svg?style=flat)
+](https://pypi.python.org/pypi/versioneer/)
+* [![Build Status]
+(https://travis-ci.org/warner/python-versioneer.png?branch=master)
+](https://travis-ci.org/warner/python-versioneer)
+
+This is a tool for managing a recorded version number in distutils-based
+python projects. The goal is to remove the tedious and error-prone "update
+the embedded version string" step from your release process. Making a new
+release should be as easy as recording a new tag in your version-control
+system, and maybe making new tarballs.
+
+
+## Quick Install
+
+* `pip install versioneer` to somewhere to your $PATH
+* add a `[versioneer]` section to your setup.cfg (see below)
+* run `versioneer install` in your source tree, commit the results
+
+## Version Identifiers
+
+Source trees come from a variety of places:
+
+* a version-control system checkout (mostly used by developers)
+* a nightly tarball, produced by build automation
+* a snapshot tarball, produced by a web-based VCS browser, like github's
+  "tarball from tag" feature
+* a release tarball, produced by "setup.py sdist", distributed through PyPI
+
+Within each source tree, the version identifier (either a string or a number,
+this tool is format-agnostic) can come from a variety of places:
+
+* ask the VCS tool itself, e.g. "git describe" (for checkouts), which knows
+  about recent "tags" and an absolute revision-id
+* the name of the directory into which the tarball was unpacked
+* an expanded VCS keyword ($Id$, etc)
+* a `_version.py` created by some earlier build step
+
+For released software, the version identifier is closely related to a VCS
+tag. Some projects use tag names that include more than just the version
+string (e.g. "myproject-1.2" instead of just "1.2"), in which case the tool
+needs to strip the tag prefix to extract the version identifier. For
+unreleased software (between tags), the version identifier should provide
+enough information to help developers recreate the same tree, while also
+giving them an idea of roughly how old the tree is (after version 1.2, before
+version 1.3). Many VCS systems can report a description that captures this,
+for example `git describe --tags --dirty --always` reports things like
+"0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the
+0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has
+uncommitted changes.
+
+The version identifier is used for multiple purposes:
+
+* to allow the module to self-identify its version: `myproject.__version__`
+* to choose a name and prefix for a 'setup.py sdist' tarball
+
+## Theory of Operation
+
+Versioneer works by adding a special `_version.py` file into your source
+tree, where your `__init__.py` can import it. This `_version.py` knows how to
+dynamically ask the VCS tool for version information at import time.
+
+`_version.py` also contains `$Revision$` markers, and the installation
+process marks `_version.py` to have this marker rewritten with a tag name
+during the `git archive` command. As a result, generated tarballs will
+contain enough information to get the proper version.
+
+To allow `setup.py` to compute a version too, a `versioneer.py` is added to
+the top level of your source tree, next to `setup.py` and the `setup.cfg`
+that configures it. This overrides several distutils/setuptools commands to
+compute the version when invoked, and changes `setup.py build` and `setup.py
+sdist` to replace `_version.py` with a small static file that contains just
+the generated version data.
+
+## Installation
+
+See [INSTALL.md](./INSTALL.md) for detailed installation instructions.
+
+## Version-String Flavors
+
+Code which uses Versioneer can learn about its version string at runtime by
+importing `_version` from your main `__init__.py` file and running the
+`get_versions()` function. From the "outside" (e.g. in `setup.py`), you can
+import the top-level `versioneer.py` and run `get_versions()`.
+
+Both functions return a dictionary with different flavors of version
+information:
+
+* `['version']`: A condensed version string, rendered using the selected
+  style. This is the most commonly used value for the project's version
+  string. The default "pep440" style yields strings like `0.11`,
+  `0.11+2.g1076c97`, or `0.11+2.g1076c97.dirty`. See the "Styles" section
+  below for alternative styles.
+
+* `['full-revisionid']`: detailed revision identifier. For Git, this is the
+  full SHA1 commit id, e.g. "1076c978a8d3cfc70f408fe5974aa6c092c949ac".
+
+* `['date']`: Date and time of the latest `HEAD` commit. For Git, it is the
+  commit date in ISO 8601 format. This will be None if the date is not
+  available.
+
+* `['dirty']`: a boolean, True if the tree has uncommitted changes. Note that
+  this is only accurate if run in a VCS checkout, otherwise it is likely to
+  be False or None
+
+* `['error']`: if the version string could not be computed, this will be set
+  to a string describing the problem, otherwise it will be None. It may be
+  useful to throw an exception in setup.py if this is set, to avoid e.g.
+  creating tarballs with a version string of "unknown".
+
+Some variants are more useful than others. Including `full-revisionid` in a
+bug report should allow developers to reconstruct the exact code being tested
+(or indicate the presence of local changes that should be shared with the
+developers). `version` is suitable for display in an "about" box or a CLI
+`--version` output: it can be easily compared against release notes and lists
+of bugs fixed in various releases.
+
+The installer adds the following text to your `__init__.py` to place a basic
+version in `YOURPROJECT.__version__`:
+
+    from ._version import get_versions
+    __version__ = get_versions()['version']
+    del get_versions
+
+## Styles
+
+The setup.cfg `style=` configuration controls how the VCS information is
+rendered into a version string.
+
+The default style, "pep440", produces a PEP440-compliant string, equal to the
+un-prefixed tag name for actual releases, and containing an additional "local
+version" section with more detail for in-between builds. For Git, this is
+TAG[+DISTANCE.gHEX[.dirty]] , using information from `git describe --tags
+--dirty --always`. For example "0.11+2.g1076c97.dirty" indicates that the
+tree is like the "1076c97" commit but has uncommitted changes (".dirty"), and
+that this commit is two revisions ("+2") beyond the "0.11" tag. For released
+software (exactly equal to a known tag), the identifier will only contain the
+stripped tag, e.g. "0.11".
+
+Other styles are available. See [details.md](details.md) in the Versioneer
+source tree for descriptions.
+
+## Debugging
+
+Versioneer tries to avoid fatal errors: if something goes wrong, it will tend
+to return a version of "0+unknown". To investigate the problem, run `setup.py
+version`, which will run the version-lookup code in a verbose mode, and will
+display the full contents of `get_versions()` (including the `error` string,
+which may help identify what went wrong).
+
+## Known Limitations
+
+Some situations are known to cause problems for Versioneer. This details the
+most significant ones. More can be found on Github
+[issues page](https://github.com/warner/python-versioneer/issues).
+
+### Subprojects
+
+Versioneer has limited support for source trees in which `setup.py` is not in
+the root directory (e.g. `setup.py` and `.git/` are *not* siblings). The are
+two common reasons why `setup.py` might not be in the root:
+
+* Source trees which contain multiple subprojects, such as
+  [Buildbot](https://github.com/buildbot/buildbot), which contains both
+  "master" and "slave" subprojects, each with their own `setup.py`,
+  `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI
+  distributions (and upload multiple independently-installable tarballs).
+* Source trees whose main purpose is to contain a C library, but which also
+  provide bindings to Python (and perhaps other langauges) in subdirectories.
+
+Versioneer will look for `.git` in parent directories, and most operations
+should get the right version string. However `pip` and `setuptools` have bugs
+and implementation details which frequently cause `pip install .` from a
+subproject directory to fail to find a correct version string (so it usually
+defaults to `0+unknown`).
+
+`pip install --editable .` should work correctly. `setup.py install` might
+work too.
+
+Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in
+some later version.
+
+[Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking
+this issue. The discussion in
+[PR #61](https://github.com/warner/python-versioneer/pull/61) describes the
+issue from the Versioneer side in more detail.
+[pip PR#3176](https://github.com/pypa/pip/pull/3176) and
+[pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve
+pip to let Versioneer work correctly.
+
+Versioneer-0.16 and earlier only looked for a `.git` directory next to the
+`setup.cfg`, so subprojects were completely unsupported with those releases.
+
+### Editable installs with setuptools <= 18.5
+
+`setup.py develop` and `pip install --editable .` allow you to install a
+project into a virtualenv once, then continue editing the source code (and
+test) without re-installing after every change.
+
+"Entry-point scripts" (`setup(entry_points={"console_scripts": ..})`) are a
+convenient way to specify executable scripts that should be installed along
+with the python package.
+
+These both work as expected when using modern setuptools. When using
+setuptools-18.5 or earlier, however, certain operations will cause
+`pkg_resources.DistributionNotFound` errors when running the entrypoint
+script, which must be resolved by re-installing the package. This happens
+when the install happens with one version, then the egg_info data is
+regenerated while a different version is checked out. Many setup.py commands
+cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into
+a different virtualenv), so this can be surprising.
+
+[Bug #83](https://github.com/warner/python-versioneer/issues/83) describes
+this one, but upgrading to a newer version of setuptools should probably
+resolve it.
+
+### Unicode version strings
+
+While Versioneer works (and is continually tested) with both Python 2 and
+Python 3, it is not entirely consistent with bytes-vs-unicode distinctions.
+Newer releases probably generate unicode version strings on py2. It's not
+clear that this is wrong, but it may be surprising for applications when then
+write these strings to a network connection or include them in bytes-oriented
+APIs like cryptographic checksums.
+
+[Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates
+this question.
+
+
+## Updating Versioneer
+
+To upgrade your project to a new release of Versioneer, do the following:
+
+* install the new Versioneer (`pip install -U versioneer` or equivalent)
+* edit `setup.cfg`, if necessary, to include any new configuration settings
+  indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details.
+* re-run `versioneer install` in your source tree, to replace
+  `SRC/_version.py`
+* commit any changed files
+
+## Future Directions
+
+This tool is designed to make it easily extended to other version-control
+systems: all VCS-specific components are in separate directories like
+src/git/ . The top-level `versioneer.py` script is assembled from these
+components by running make-versioneer.py . In the future, make-versioneer.py
+will take a VCS name as an argument, and will construct a version of
+`versioneer.py` that is specific to the given VCS. It might also take the
+configuration arguments that are currently provided manually during
+installation by editing setup.py . Alternatively, it might go the other
+direction and include code from all supported VCS systems, reducing the
+number of intermediate scripts.
+
+
+## License
+
+To make Versioneer easier to embed, all its code is dedicated to the public
+domain. The `_version.py` that it creates is also in the public domain.
+Specifically, both are released under the Creative Commons "Public Domain
+Dedication" license (CC0-1.0), as described in
+https://creativecommons.org/publicdomain/zero/1.0/ .
+
+"""
+
+from __future__ import print_function
+try:
+    import configparser
+except ImportError:
+    import ConfigParser as configparser
+import errno
+import json
+import os
+import re
+import subprocess
+import sys
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_root():
+    """Get the project root directory.
+
+    We require that all commands are run from the project root, i.e. the
+    directory that contains setup.py, setup.cfg, and versioneer.py .
+    """
+    root = os.path.realpath(os.path.abspath(os.getcwd()))
+    setup_py = os.path.join(root, "setup.py")
+    versioneer_py = os.path.join(root, "versioneer.py")
+    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+        # allow 'python path/to/setup.py COMMAND'
+        root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0])))
+        setup_py = os.path.join(root, "setup.py")
+        versioneer_py = os.path.join(root, "versioneer.py")
+    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+        err = ("Versioneer was unable to run the project root directory. "
+               "Versioneer requires setup.py to be executed from "
+               "its immediate directory (like 'python setup.py COMMAND'), "
+               "or in a way that lets it use sys.argv[0] to find the root "
+               "(like 'python path/to/setup.py COMMAND').")
+        raise VersioneerBadRootError(err)
+    try:
+        # Certain runtime workflows (setup.py install/develop in a setuptools
+        # tree) execute all dependencies in a single python process, so
+        # "versioneer" may be imported multiple times, and python's shared
+        # module-import table will cache the first one. So we can't use
+        # os.path.dirname(__file__), as that will find whichever
+        # versioneer.py was first imported, even in later projects.
+        me = os.path.realpath(os.path.abspath(__file__))
+        me_dir = os.path.normcase(os.path.splitext(me)[0])
+        vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
+        if me_dir != vsr_dir:
+            print("Warning: build in %s is using versioneer.py from %s"
+                  % (os.path.dirname(me), versioneer_py))
+    except NameError:
+        pass
+    return root
+
+
+def get_config_from_root(root):
+    """Read the project setup.cfg file to determine Versioneer config."""
+    # This might raise EnvironmentError (if setup.cfg is missing), or
+    # configparser.NoSectionError (if it lacks a [versioneer] section), or
+    # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
+    # the top of versioneer.py for instructions on writing your setup.cfg .
+    setup_cfg = os.path.join(root, "setup.cfg")
+    parser = configparser.SafeConfigParser()
+    with open(setup_cfg, "r") as f:
+        parser.readfp(f)
+    VCS = parser.get("versioneer", "VCS")  # mandatory
+
+    def get(parser, name):
+        if parser.has_option("versioneer", name):
+            return parser.get("versioneer", name)
+        return None
+    cfg = VersioneerConfig()
+    cfg.VCS = VCS
+    cfg.style = get(parser, "style") or ""
+    cfg.versionfile_source = get(parser, "versionfile_source")
+    cfg.versionfile_build = get(parser, "versionfile_build")
+    cfg.tag_prefix = get(parser, "tag_prefix")
+    if cfg.tag_prefix in ("''", '""'):
+        cfg.tag_prefix = ""
+    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
+    cfg.verbose = get(parser, "verbose")
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+# these dictionaries contain VCS-specific tools
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+LONG_VERSION_PY['git'] = '''
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain. Generated by
+# versioneer-0.18 (https://github.com/warner/python-versioneer)
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+
+
+def get_keywords():
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "%(DOLLAR)sFormat:%%d%(DOLLAR)s"
+    git_full = "%(DOLLAR)sFormat:%%H%(DOLLAR)s"
+    git_date = "%(DOLLAR)sFormat:%%ci%(DOLLAR)s"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_config():
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "%(STYLE)s"
+    cfg.tag_prefix = "%(TAG_PREFIX)s"
+    cfg.parentdir_prefix = "%(PARENTDIR_PREFIX)s"
+    cfg.versionfile_source = "%(VERSIONFILE_SOURCE)s"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %%s" %% dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %%s" %% (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %%s (error)" %% dispcmd)
+            print("stdout was %%s" %% stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %%s but none started with prefix %%s" %%
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %%d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%%s', no digits" %% ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %%s" %% ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %%s" %% r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %%s not under git control" %% root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%%s*" %% tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%%s'"
+                               %% describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%%s' doesn't start with prefix '%%s'"
+                print(fmt %% (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%%s' doesn't start with prefix '%%s'"
+                               %% (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%%d.g%%s" %% (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%%d" %% pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%%d" %% pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%%s" %% pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%%s" %% pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%%s'" %% style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions():
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        root = os.path.realpath(__file__)
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for i in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
+'''
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%s*" % tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def do_vcs_install(manifest_in, versionfile_source, ipy):
+    """Git-specific installation logic for Versioneer.
+
+    For Git, this means creating/changing .gitattributes to mark _version.py
+    for export-subst keyword substitution.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+    files = [manifest_in, versionfile_source]
+    if ipy:
+        files.append(ipy)
+    try:
+        me = __file__
+        if me.endswith(".pyc") or me.endswith(".pyo"):
+            me = os.path.splitext(me)[0] + ".py"
+        versioneer_file = os.path.relpath(me)
+    except NameError:
+        versioneer_file = "versioneer.py"
+    files.append(versioneer_file)
+    present = False
+    try:
+        f = open(".gitattributes", "r")
+        for line in f.readlines():
+            if line.strip().startswith(versionfile_source):
+                if "export-subst" in line.strip().split()[1:]:
+                    present = True
+        f.close()
+    except EnvironmentError:
+        pass
+    if not present:
+        f = open(".gitattributes", "a+")
+        f.write("%s export-subst\n" % versionfile_source)
+        f.close()
+        files.append(".gitattributes")
+    run_command(GITS, ["add", "--"] + files)
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+SHORT_VERSION_PY = """
+# This file was generated by 'versioneer.py' (0.18) from
+# revision-control system data, or from the parent directory name of an
+# unpacked source archive. Distribution tarballs contain a pre-generated copy
+# of this file.
+
+import json
+
+version_json = '''
+%s
+'''  # END VERSION_JSON
+
+
+def get_versions():
+    return json.loads(version_json)
+"""
+
+
+def versions_from_file(filename):
+    """Try to determine the version from _version.py if present."""
+    try:
+        with open(filename) as f:
+            contents = f.read()
+    except EnvironmentError:
+        raise NotThisMethod("unable to read _version.py")
+    mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
+                   contents, re.M | re.S)
+    if not mo:
+        mo = re.search(r"version_json = '''\r\n(.*)'''  # END VERSION_JSON",
+                       contents, re.M | re.S)
+    if not mo:
+        raise NotThisMethod("no version_json in _version.py")
+    return json.loads(mo.group(1))
+
+
+def write_to_version_file(filename, versions):
+    """Write the given version number to the given _version.py file."""
+    os.unlink(filename)
+    contents = json.dumps(versions, sort_keys=True,
+                          indent=1, separators=(",", ": "))
+    with open(filename, "w") as f:
+        f.write(SHORT_VERSION_PY % contents)
+
+    print("set %s to '%s'" % (filename, versions["version"]))
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%d" % pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+class VersioneerBadRootError(Exception):
+    """The project root directory is unknown or missing key files."""
+
+
+def get_versions(verbose=False):
+    """Get the project version from whatever source is available.
+
+    Returns dict with two keys: 'version' and 'full'.
+    """
+    if "versioneer" in sys.modules:
+        # see the discussion in cmdclass.py:get_cmdclass()
+        del sys.modules["versioneer"]
+
+    root = get_root()
+    cfg = get_config_from_root(root)
+
+    assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg"
+    handlers = HANDLERS.get(cfg.VCS)
+    assert handlers, "unrecognized VCS '%s'" % cfg.VCS
+    verbose = verbose or cfg.verbose
+    assert cfg.versionfile_source is not None, \
+        "please set versioneer.versionfile_source"
+    assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
+
+    versionfile_abs = os.path.join(root, cfg.versionfile_source)
+
+    # extract version from first of: _version.py, VCS command (e.g. 'git
+    # describe'), parentdir. This is meant to work for developers using a
+    # source checkout, for users of a tarball created by 'setup.py sdist',
+    # and for users of a tarball/zipball created by 'git archive' or github's
+    # download-from-tag feature or the equivalent in other VCSes.
+
+    get_keywords_f = handlers.get("get_keywords")
+    from_keywords_f = handlers.get("keywords")
+    if get_keywords_f and from_keywords_f:
+        try:
+            keywords = get_keywords_f(versionfile_abs)
+            ver = from_keywords_f(keywords, cfg.tag_prefix, verbose)
+            if verbose:
+                print("got version from expanded keyword %s" % ver)
+            return ver
+        except NotThisMethod:
+            pass
+
+    try:
+        ver = versions_from_file(versionfile_abs)
+        if verbose:
+            print("got version from file %s %s" % (versionfile_abs, ver))
+        return ver
+    except NotThisMethod:
+        pass
+
+    from_vcs_f = handlers.get("pieces_from_vcs")
+    if from_vcs_f:
+        try:
+            pieces = from_vcs_f(cfg.tag_prefix, root, verbose)
+            ver = render(pieces, cfg.style)
+            if verbose:
+                print("got version from VCS %s" % ver)
+            return ver
+        except NotThisMethod:
+            pass
+
+    try:
+        if cfg.parentdir_prefix:
+            ver = versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+            if verbose:
+                print("got version from parentdir %s" % ver)
+            return ver
+    except NotThisMethod:
+        pass
+
+    if verbose:
+        print("unable to compute version")
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None, "error": "unable to compute version",
+            "date": None}
+
+
+def get_version():
+    """Get the short version string for this project."""
+    return get_versions()["version"]
+
+
+def get_cmdclass():
+    """Get the custom setuptools/distutils subclasses used by Versioneer."""
+    if "versioneer" in sys.modules:
+        del sys.modules["versioneer"]
+        # this fixes the "python setup.py develop" case (also 'install' and
+        # 'easy_install .'), in which subdependencies of the main project are
+        # built (using setup.py bdist_egg) in the same python process. Assume
+        # a main project A and a dependency B, which use different versions
+        # of Versioneer. A's setup.py imports A's Versioneer, leaving it in
+        # sys.modules by the time B's setup.py is executed, causing B to run
+        # with the wrong versioneer. Setuptools wraps the sub-dep builds in a
+        # sandbox that restores sys.modules to it's pre-build state, so the
+        # parent is protected against the child's "import versioneer". By
+        # removing ourselves from sys.modules here, before the child build
+        # happens, we protect the child from the parent's versioneer too.
+        # Also see https://github.com/warner/python-versioneer/issues/52
+
+    cmds = {}
+
+    # we add "version" to both distutils and setuptools
+    from distutils.core import Command
+
+    class cmd_version(Command):
+        description = "report generated version string"
+        user_options = []
+        boolean_options = []
+
+        def initialize_options(self):
+            pass
+
+        def finalize_options(self):
+            pass
+
+        def run(self):
+            vers = get_versions(verbose=True)
+            print("Version: %s" % vers["version"])
+            print(" full-revisionid: %s" % vers.get("full-revisionid"))
+            print(" dirty: %s" % vers.get("dirty"))
+            print(" date: %s" % vers.get("date"))
+            if vers["error"]:
+                print(" error: %s" % vers["error"])
+    cmds["version"] = cmd_version
+
+    # we override "build_py" in both distutils and setuptools
+    #
+    # most invocation pathways end up running build_py:
+    #  distutils/build -> build_py
+    #  distutils/install -> distutils/build ->..
+    #  setuptools/bdist_wheel -> distutils/install ->..
+    #  setuptools/bdist_egg -> distutils/install_lib -> build_py
+    #  setuptools/install -> bdist_egg ->..
+    #  setuptools/develop -> ?
+    #  pip install:
+    #   copies source tree to a tempdir before running egg_info/etc
+    #   if .git isn't copied too, 'git describe' will fail
+    #   then does setup.py bdist_wheel, or sometimes setup.py install
+    #  setup.py egg_info -> ?
+
+    # we override different "build_py" commands for both environments
+    if "setuptools" in sys.modules:
+        from setuptools.command.build_py import build_py as _build_py
+    else:
+        from distutils.command.build_py import build_py as _build_py
+
+    class cmd_build_py(_build_py):
+        def run(self):
+            root = get_root()
+            cfg = get_config_from_root(root)
+            versions = get_versions()
+            _build_py.run(self)
+            # now locate _version.py in the new build/ directory and replace
+            # it with an updated value
+            if cfg.versionfile_build:
+                target_versionfile = os.path.join(self.build_lib,
+                                                  cfg.versionfile_build)
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+    cmds["build_py"] = cmd_build_py
+
+    if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
+        from cx_Freeze.dist import build_exe as _build_exe
+        # nczeczulin reports that py2exe won't like the pep440-style string
+        # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
+        # setup(console=[{
+        #   "version": versioneer.get_version().split("+", 1)[0], # FILEVERSION
+        #   "product_version": versioneer.get_version(),
+        #   ...
+
+        class cmd_build_exe(_build_exe):
+            def run(self):
+                root = get_root()
+                cfg = get_config_from_root(root)
+                versions = get_versions()
+                target_versionfile = cfg.versionfile_source
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+
+                _build_exe.run(self)
+                os.unlink(target_versionfile)
+                with open(cfg.versionfile_source, "w") as f:
+                    LONG = LONG_VERSION_PY[cfg.VCS]
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
+        cmds["build_exe"] = cmd_build_exe
+        del cmds["build_py"]
+
+    if 'py2exe' in sys.modules:  # py2exe enabled?
+        try:
+            from py2exe.distutils_buildexe import py2exe as _py2exe  # py3
+        except ImportError:
+            from py2exe.build_exe import py2exe as _py2exe  # py2
+
+        class cmd_py2exe(_py2exe):
+            def run(self):
+                root = get_root()
+                cfg = get_config_from_root(root)
+                versions = get_versions()
+                target_versionfile = cfg.versionfile_source
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+
+                _py2exe.run(self)
+                os.unlink(target_versionfile)
+                with open(cfg.versionfile_source, "w") as f:
+                    LONG = LONG_VERSION_PY[cfg.VCS]
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
+        cmds["py2exe"] = cmd_py2exe
+
+    # we override different "sdist" commands for both environments
+    if "setuptools" in sys.modules:
+        from setuptools.command.sdist import sdist as _sdist
+    else:
+        from distutils.command.sdist import sdist as _sdist
+
+    class cmd_sdist(_sdist):
+        def run(self):
+            versions = get_versions()
+            self._versioneer_generated_versions = versions
+            # unless we update this, the command will keep using the old
+            # version
+            self.distribution.metadata.version = versions["version"]
+            return _sdist.run(self)
+
+        def make_release_tree(self, base_dir, files):
+            root = get_root()
+            cfg = get_config_from_root(root)
+            _sdist.make_release_tree(self, base_dir, files)
+            # now locate _version.py in the new base_dir directory
+            # (remembering that it may be a hardlink) and replace it with an
+            # updated value
+            target_versionfile = os.path.join(base_dir, cfg.versionfile_source)
+            print("UPDATING %s" % target_versionfile)
+            write_to_version_file(target_versionfile,
+                                  self._versioneer_generated_versions)
+    cmds["sdist"] = cmd_sdist
+
+    return cmds
+
+
+CONFIG_ERROR = """
+setup.cfg is missing the necessary Versioneer configuration. You need
+a section like:
+
+ [versioneer]
+ VCS = git
+ style = pep440
+ versionfile_source = src/myproject/_version.py
+ versionfile_build = myproject/_version.py
+ tag_prefix =
+ parentdir_prefix = myproject-
+
+You will also need to edit your setup.py to use the results:
+
+ import versioneer
+ setup(version=versioneer.get_version(),
+       cmdclass=versioneer.get_cmdclass(), ...)
+
+Please read the docstring in ./versioneer.py for configuration instructions,
+edit setup.cfg, and re-run the installer or 'python versioneer.py setup'.
+"""
+
+SAMPLE_CONFIG = """
+# See the docstring in versioneer.py for instructions. Note that you must
+# re-run 'versioneer.py setup' after changing this section, and commit the
+# resulting files.
+
+[versioneer]
+#VCS = git
+#style = pep440
+#versionfile_source =
+#versionfile_build =
+#tag_prefix =
+#parentdir_prefix =
+
+"""
+
+INIT_PY_SNIPPET = """
+from ._version import get_versions
+__version__ = get_versions()['version']
+del get_versions
+"""
+
+
+def do_setup():
+    """Main VCS-independent setup function for installing Versioneer."""
+    root = get_root()
+    try:
+        cfg = get_config_from_root(root)
+    except (EnvironmentError, configparser.NoSectionError,
+            configparser.NoOptionError) as e:
+        if isinstance(e, (EnvironmentError, configparser.NoSectionError)):
+            print("Adding sample versioneer config to setup.cfg",
+                  file=sys.stderr)
+            with open(os.path.join(root, "setup.cfg"), "a") as f:
+                f.write(SAMPLE_CONFIG)
+        print(CONFIG_ERROR, file=sys.stderr)
+        return 1
+
+    print(" creating %s" % cfg.versionfile_source)
+    with open(cfg.versionfile_source, "w") as f:
+        LONG = LONG_VERSION_PY[cfg.VCS]
+        f.write(LONG % {"DOLLAR": "$",
+                        "STYLE": cfg.style,
+                        "TAG_PREFIX": cfg.tag_prefix,
+                        "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                        "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                        })
+
+    ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
+                       "__init__.py")
+    if os.path.exists(ipy):
+        try:
+            with open(ipy, "r") as f:
+                old = f.read()
+        except EnvironmentError:
+            old = ""
+        if INIT_PY_SNIPPET not in old:
+            print(" appending to %s" % ipy)
+            with open(ipy, "a") as f:
+                f.write(INIT_PY_SNIPPET)
+        else:
+            print(" %s unmodified" % ipy)
+    else:
+        print(" %s doesn't exist, ok" % ipy)
+        ipy = None
+
+    # Make sure both the top-level "versioneer.py" and versionfile_source
+    # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so
+    # they'll be copied into source distributions. Pip won't be able to
+    # install the package without this.
+    manifest_in = os.path.join(root, "MANIFEST.in")
+    simple_includes = set()
+    try:
+        with open(manifest_in, "r") as f:
+            for line in f:
+                if line.startswith("include "):
+                    for include in line.split()[1:]:
+                        simple_includes.add(include)
+    except EnvironmentError:
+        pass
+    # That doesn't cover everything MANIFEST.in can do
+    # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
+    # it might give some false negatives. Appending redundant 'include'
+    # lines is safe, though.
+    if "versioneer.py" not in simple_includes:
+        print(" appending 'versioneer.py' to MANIFEST.in")
+        with open(manifest_in, "a") as f:
+            f.write("include versioneer.py\n")
+    else:
+        print(" 'versioneer.py' already in MANIFEST.in")
+    if cfg.versionfile_source not in simple_includes:
+        print(" appending versionfile_source ('%s') to MANIFEST.in" %
+              cfg.versionfile_source)
+        with open(manifest_in, "a") as f:
+            f.write("include %s\n" % cfg.versionfile_source)
+    else:
+        print(" versionfile_source already in MANIFEST.in")
+
+    # Make VCS-specific changes. For git, this means creating/changing
+    # .gitattributes to mark _version.py for export-subst keyword
+    # substitution.
+    do_vcs_install(manifest_in, cfg.versionfile_source, ipy)
+    return 0
+
+
+def scan_setup_py():
+    """Validate the contents of setup.py against Versioneer's expectations."""
+    found = set()
+    setters = False
+    errors = 0
+    with open("setup.py", "r") as f:
+        for line in f.readlines():
+            if "import versioneer" in line:
+                found.add("import")
+            if "versioneer.get_cmdclass()" in line:
+                found.add("cmdclass")
+            if "versioneer.get_version()" in line:
+                found.add("get_version")
+            if "versioneer.VCS" in line:
+                setters = True
+            if "versioneer.versionfile_source" in line:
+                setters = True
+    if len(found) != 3:
+        print("")
+        print("Your setup.py appears to be missing some important items")
+        print("(but I might be wrong). Please make sure it has something")
+        print("roughly like the following:")
+        print("")
+        print(" import versioneer")
+        print(" setup( version=versioneer.get_version(),")
+        print("        cmdclass=versioneer.get_cmdclass(),  ...)")
+        print("")
+        errors += 1
+    if setters:
+        print("You should remove lines like 'versioneer.VCS = ' and")
+        print("'versioneer.versionfile_source = ' . This configuration")
+        print("now lives in setup.cfg, and should be removed from setup.py")
+        print("")
+        errors += 1
+    return errors
+
+
+if __name__ == "__main__":
+    cmd = sys.argv[1]
+    if cmd == "setup":
+        errors = do_setup()
+        errors += scan_setup_py()
+        if errors:
+            sys.exit(1)

From de5146b953189f58184781f322a90b012851f56b Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Wed, 7 Aug 2019 12:22:09 -0400
Subject: [PATCH 101/156] additional dtifit outputs, subdivide workflows,
 update nipype version

---
 .flake8                                    |  5 --
 .pre-commit-config.yaml                    | 10 ----
 AUTHORS.rst                                |  3 -
 Dockerfile                                 | 58 +++++++++----------
 dmriprep/cli.py                            | 67 +++++++++++++---------
 dmriprep/interfaces/mrtrix3.py             | 12 ++--
 dmriprep/workflows/base.py                 |  7 ++-
 dmriprep/workflows/dwi/__init__.py         |  3 +-
 dmriprep/workflows/dwi/base.py             | 11 +++-
 dmriprep/workflows/dwi/denoise.py          | 56 +++++++++---------
 dmriprep/workflows/dwi/remove_artefacts.py |  8 +++
 dmriprep/workflows/dwi/resample.py         | 28 +++++++++
 dmriprep/workflows/dwi/tensor.py           | 17 +++++-
 dmriprep/workflows/dwi/unring.py           | 56 +++++++++---------
 setup.cfg                                  |  2 +-
 15 files changed, 194 insertions(+), 149 deletions(-)
 delete mode 100644 .flake8
 delete mode 100644 .pre-commit-config.yaml
 create mode 100644 dmriprep/workflows/dwi/resample.py

diff --git a/.flake8 b/.flake8
deleted file mode 100644
index d9ad0b40..00000000
--- a/.flake8
+++ /dev/null
@@ -1,5 +0,0 @@
-[flake8]
-ignore = E203, E266, E501, W503, F403, F401
-max-line-length = 79
-max-complexity = 18
-select = B,C,E,F,W,T4,B9
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
deleted file mode 100644
index 17bddd8a..00000000
--- a/.pre-commit-config.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-repos:
--   repo: https://github.com/python/black
-    rev: stable
-    hooks:
-    - id: black
-      language_version: python3.6
--   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v2.2.3
-    hooks:
-    - id: flake8
diff --git a/AUTHORS.rst b/AUTHORS.rst
index c098d571..3a09d43f 100644
--- a/AUTHORS.rst
+++ b/AUTHORS.rst
@@ -8,9 +8,6 @@ Development Leads
 - Anisha Keshavan <keshavan@berkeley.edu> [Corresponding developer]
 - Adam Richie-Halford <richiehalford@gmail.com>
 
-- Michael Joseph <michael.joseph@camh.ca> [Corresponding developer]
-- Salim Mansour <salim.mansour@camh.ca>
-
 Contributors
 ------------
 
diff --git a/Dockerfile b/Dockerfile
index 4195949d..8ad53090 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,27 +1,35 @@
 # Use Ubuntu 16.04 LTS
 FROM ubuntu:xenial-20190610
 
-# Used command:
-# neurodocker generate docker --base=debian:stretch --pkg-manager=apt
-# --ants version=latest method=source --mrtrix3 version=3.0_RC3
-# --freesurfer version=6.0.0 method=binaries --fsl version=6.0.1 method=binaries
+# Prepare environment
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+                    curl \
+                    bzip2 \
+                    ca-certificates \
+                    xvfb \
+                    cython3 \
+                    build-essential \
+                    autoconf \
+                    libtool \
+                    pkg-config \
+                    git && \
+    curl -sL https://deb.nodesource.com/setup_10.x | bash - && \
+    apt-get install -y --no-install-recommends \
+                    nodejs && \
+    apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
 
 # Getting required installation tools
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         apt-utils \
-        bzip2 \
-        ca-certificates \
-        curl \
         locales \
         unzip \
         bc \
-        libtool \
         tar \
         dpkg \
         wget \
         gcc \
-        git \
         libstdc++6
 
 # Neurodocker Setup
@@ -56,27 +64,21 @@ RUN export ND_ENTRYPOINT="/neurodocker/startup.sh" \
 
 ENTRYPOINT ["/neurodocker/startup.sh"]
 
-# install ANTS v2.3.1
-curl -sSL https://github.com/ANTsX/ANTs/archive/v2.3.1.tar.gz
-
+# Installing ANTS v2.3.1
+ENV ANTSPATH=/opt/ants
+RUN mkdir -p $ANTSPATH && \
+    curl -sSL https://github.com/ANTsX/ANTs/archive/v2.3.1.tar.gz
+    | tar -xzC $ANTSPATH --strip-components 1
+ENV PATH=$ANTSPATH:$PATH
 
-# ANTS (used from BIDS-Apps https://github.com/BIDS-Apps/dockerfile-templates/blob/master/ANTs/Dockerfile)
-RUN mkdir -p /opt/ants && \
-    curl -sSL "https://github.com/stnava/ANTs/releases/download/v2.1.0/Linux_Ubuntu14.04.tar.bz2" \
-    | tar -xjC /opt/ants --strip-components 1 && \
-    rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-
-ENV ANTSPATH /opt/ants
-ENV PATH $ANTSPATH:$PATH
-
-# MRtrix3 generated from Neurodocker
+# Installing MRtrix3
 ENV PATH="/opt/mrtrix3-3.0_RC3/bin:$PATH"
 RUN echo "Downloading MRtrix3 ..." \
     && mkdir -p /opt/mrtrix3-3.0_RC3 \
     && curl -fsSL --retry 5 https://dl.dropbox.com/s/2oh339ehcxcf8xf/mrtrix3-3.0_RC3-Linux-centos6.9-x86_64.tar.gz \
     | tar -xz -C /opt/mrtrix3-3.0_RC3 --strip-components 1
 
-# Freesurfer generated from Neurodocker
+# Installing Freesurfer
 ENV FREESURFER_HOME="/opt/freesurfer-6.0.0" \
     PATH="/opt/freesurfer-6.0.0/bin:$PATH"
 RUN apt-get update -qq \
@@ -108,6 +110,7 @@ RUN apt-get update -qq \
          --exclude='freesurfer/trctrain' \
     && sed -i '$isource "/opt/freesurfer-6.0.0/SetUpFreeSurfer.sh"' "$ND_ENTRYPOINT"
 
+# Installing FSL
 ENV FSLDIR="/opt/fsl-6.0.1" \
     PATH="/opt/fsl-6.0.1/bin:$PATH"
 RUN apt-get update -qq \
@@ -183,15 +186,6 @@ RUN echo '{ \
     \n  ] \
     \n}' > /neurodocker/neurodocker_specs.json
 
-#All of the examples below use debian:stretch as the base image, but any Docker image can be used as a base.
-#Common base images (and their packages managers) are ubuntu:16.04 (apt), centos:7 (yum), neurodebian:nd16.04 (apt), and neurodebian:stretch (apt).
-
-# FSL 6.0.1
-# Freesurfer 6.0.0
-# MRtrix3
-# ANTS
-# Python 3
-
 # add credentials on build
 RUN mkdir ~/.ssh && ln -s /run/secrets/host_ssh_key ~/.ssh/id_rsa
 # Getting required installation tools
diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 69642368..27680066 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -23,30 +23,29 @@ def __init__(
         layout,
         subject_list,
         bids_dir,
-        work_dir,
         output_dir,
-        # concat_shells,
+        analysis_level,
+        work_dir,
+        ignore,
         b0_thresh,
-        resize_scale,
-        omp_nthreads,
-        eddy_niter,
+        output_resolution,
         bet_dwi,
         bet_mag,
-        ignore,
-        analysis_level,
+        omp_nthreads,
+        eddy_niter,
         synb0_dir,
-        acqp_file,
+        acqp_file
     ):
+
+        self.layout = layout
+        self.subject_list = subject_list
         self.bids_dir = bids_dir
         self.output_dir = output_dir
         self.analysis_level = analysis_level
-        self.layout = layout
-        self.subject_list = subject_list
         self.work_dir = work_dir
-        # self.concat_shells = concat_shells
         self.ignore = ignore
-        self.resize_scale = resize_scale
         self.b0_thresh = b0_thresh
+        self.output_resolution = resize_scale
         self.bet_dwi = bet_dwi
         self.bet_mag = bet_mag
         self.omp_nthreads = omp_nthreads
@@ -95,7 +94,9 @@ def __init__(
     type=click.IntRange(min=0, max=10),
 )
 @click.option(
-    "--resize_scale", help="Scale factor to resize DWI image", type=float
+    "--output_resolution",
+    help="The isotropic voxel size in mm the data will be resampled to before eddy.",
+    type=float
 )
 # specific options for eddy
 @click.option(
@@ -153,6 +154,18 @@ def __init__(
     help="working directory",
     type=click.Path(exists=True, file_okay=False, writable=True),
 )
+@click.option(
+    "--tbss",
+    help="Run TBSS"
+    is_flag=True
+)
+@click.option(
+    "--diffusivity_meas",
+    help="Specify which measures to calculate.",
+    default=("FA",),
+    type=click.Choice(["FA", "MD", "AD", "RD"]),
+    multiple=True
+)
 @click.option(
     "--synb0_dir",
     default=None,
@@ -163,17 +176,16 @@ def main(
     participant_label,
     bids_dir,
     output_dir,
-    work_dir,
-    skip_bids_validation,
     analysis_level,
+    skip_bids_validation,
+    work_dir,
+    ignore,
     b0_thresh,
-    # concat_shells,
-    resize_scale,
-    omp_nthreads,
-    eddy_niter,
+    output_resolution,
     bet_dwi,
     bet_mag,
-    ignore,
+    omp_nthreads,
+    eddy_niter,
     synb0_dir,
     acqp_file,
 ):
@@ -195,7 +207,7 @@ def main(
             "is participant at the moment."
         )
 
-    layout = BIDSLayout(bids_dir, validate=False)
+    layout = BIDSLayout(bids_dir, validate=True)
     all_subjects, subject_list = collect_participants(
         layout, participant_label=participant_label
     )
@@ -213,17 +225,16 @@ def main(
         layout=layout,
         subject_list=subject_list,
         bids_dir=bids_dir,
-        work_dir=work_dir,
         output_dir=output_dir,
-        # concat_shells=concat_shells,
+        analysis_level=analysis_level,
+        work_dir=work_dir,
+        ignore=list(ignore),
         b0_thresh=b0_thresh,
-        resize_scale=resize_scale,
-        omp_nthreads=omp_nthreads,
-        eddy_niter=eddy_niter,
+        output_resolution=output_resolution,
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
-        ignore=list(ignore),
-        analysis_level=analysis_level,
+        omp_nthreads=omp_nthreads,
+        eddy_niter=eddy_niter,
         synb0_dir=synb0_dir,
         acqp_file=acqp_file,
     )
diff --git a/dmriprep/interfaces/mrtrix3.py b/dmriprep/interfaces/mrtrix3.py
index 55d74f1b..fbbbb16d 100644
--- a/dmriprep/interfaces/mrtrix3.py
+++ b/dmriprep/interfaces/mrtrix3.py
@@ -19,7 +19,7 @@ class MRResizeInputSpec(MRTrix3BaseInputSpec):
         mandatory=True,
         desc="input DWI image",
     )
-    size = traits.List(
+    image_size = traits.List(
         traits.Int(),
         argstr="-size %s",
         desc="define the new image size for the output image. This should be "
@@ -33,7 +33,7 @@ class MRResizeInputSpec(MRTrix3BaseInputSpec):
         "dimensions, or as a comma-separated list of the size for each "
         "voxel dimension.",
     )
-    scale = traits.Float(
+    scale_factor = traits.Float(
         argstr="-scale %s",
         desc="scale the image resolution by the supplied factor. This can be "
         "specified either as a single value to be used for all "
@@ -75,10 +75,10 @@ class MRResize(MRTrix3Base):
     >>> import nipype.interfaces.mrtrix3 as mrt
     >>> resize = mrt.MRResize()
     >>> resize.inputs.in_file = 'dwi.mif'
-    >>> denoise.inputs.mask = 'mask.mif'
-    >>> denoise.cmdline                               # doctest: +ELLIPSIS
-    'dwidenoise -mask mask.mif dwi.mif dwi_denoised.mif'
-    >>> denoise.run()                                 # doctest: +SKIP
+    >>> resize.inputs.scal_factor = 2
+    >>> resize.cmdline                               # doctest: +ELLIPSIS
+    'mrresize -scale 2 dwi.mif dwi_resized.mif'
+    >>> resize.run()                                 # doctest: +SKIP
     """
 
     _cmd = "mrresize"
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 88decb46..c890504b 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -54,7 +54,7 @@ def init_single_subject_wf(subject_id, name, parameters):
         if "session" in entities:
             session_id = entities["session"]
         else:
-            session_id = ""
+            session_id = None
         metadata = parameters.layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
             subject_id=subject_id,
@@ -86,7 +86,10 @@ def init_single_subject_wf(subject_id, name, parameters):
         ds_inputspec.inputs.output_folder = parameters.output_dir
         ds_inputspec.inputs.metadata = metadata
 
-        wf_name = "sub_" + subject_id + "_ses_" + session_id + "_preproc_wf"
+        if session_id:
+            wf_name = "sub_" + subject_id + "_ses_" + session_id + "_preproc_wf"
+        else:
+            wf_name = "sub_" + subject_id + "_preproc_wf"
         full_wf = pe.Workflow(name=wf_name)
 
         full_wf.connect(
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 0eb1fa11..a3291947 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -1,7 +1,6 @@
 #!/usr/bin/env python
 
 from .base import init_dwi_preproc_wf
-from .denoise import init_denoise_wf
-from .unring import init_unring_wf
+from .remove_artefacts import init_remove_artefacts_wf
 from .tensor import init_tensor_wf
 from .outputs import init_output_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 466f65ce..8acdb997 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,12 +1,19 @@
 # -*- coding: utf-8 -*-
 
+"""
+Orchestrating the dwi preprocessing workflows
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_dwi_preproc_wf
+
+"""
+
 from bids import BIDSLayout
 from nipype.pipeline import engine as pe
 from nipype.interfaces import ants, fsl, mrtrix3, utility as niu
 from numba import cuda
 
-from .denoise import init_denoise_wf
-from .unring import init_unring_wf
+from .remove_artefacts import init_remove_artefacts_wf
 from .tensor import init_tensor_wf
 
 # from ..fieldmap.base import init_sdc_prep_wf
diff --git a/dmriprep/workflows/dwi/denoise.py b/dmriprep/workflows/dwi/denoise.py
index c5c3172c..cd42584d 100644
--- a/dmriprep/workflows/dwi/denoise.py
+++ b/dmriprep/workflows/dwi/denoise.py
@@ -1,28 +1,28 @@
-# -*- coding: utf-8 -*-
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
-
-
-def init_denoise_wf():
-
-    wf = pe.Workflow(name="denoise_wf")
-
-    inputnode = pe.Node(
-        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
-    )
-
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
-    )
-
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-
-    wf.connect(
-        [
-            (inputnode, denoise, [("dwi_file", "in_file")]),
-            (denoise, outputnode, [("out_file", "out_file")]),
-        ]
-    )
-
-    return wf
+# -*- coding: utf-8 -*-
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_denoise_wf():
+
+    wf = pe.Workflow(name="denoise_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
+    )
+
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+
+    wf.connect(
+        [
+            (inputnode, denoise, [("dwi_file", "in_file")]),
+            (denoise, outputnode, [("out_file", "out_file")]),
+        ]
+    )
+
+    return wf
diff --git a/dmriprep/workflows/dwi/remove_artefacts.py b/dmriprep/workflows/dwi/remove_artefacts.py
index b217b489..16b84dbc 100644
--- a/dmriprep/workflows/dwi/remove_artefacts.py
+++ b/dmriprep/workflows/dwi/remove_artefacts.py
@@ -1,5 +1,13 @@
 # -*- coding: utf-8 -*-
 
+"""
+Denoising, unringing and upsampling of dwi images
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_remove_artefacts_wf
+
+"""
+
 from nipype.pipeline import engine as pe
 from nipype.interfaces import mrtrix3, utility as niu
 
diff --git a/dmriprep/workflows/dwi/resample.py b/dmriprep/workflows/dwi/resample.py
new file mode 100644
index 00000000..bebdf57c
--- /dev/null
+++ b/dmriprep/workflows/dwi/resample.py
@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_resample_wf():
+
+    wf = pe.Workflow(name="resample_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
+    )
+
+    resample = pe.Node(mrtrix3.MRResize(), name="resample")
+
+    wf.connect(
+        [
+            (inputnode, unring, [("dwi_file", "in_file")]),
+            (unring, outputnode, [("out_file", "out_file")]),
+        ]
+    )
+
+    return wf
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
index 2b2a12ab..b2520938 100644
--- a/dmriprep/workflows/dwi/tensor.py
+++ b/dmriprep/workflows/dwi/tensor.py
@@ -16,7 +16,14 @@ def init_tensor_wf():
     )
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=["FA_file", "V1_file", "sse_file"]),
+        niu.IdentityInterface(fields=[
+            "FA_file",
+            "L1_file",
+            "L2_file",
+            "L3_file",
+            "MD_file",
+            "sse_file",
+            "V1_file"]),
         name="outputnode",
     )
 
@@ -37,7 +44,13 @@ def init_tensor_wf():
             (
                 dtifit,
                 outputnode,
-                [("FA", "FA_file"), ("V1", "V1_file"), ("sse", "sse_file")],
+                [("FA", "FA_file"),
+                 ("L1", "L1_file"),
+                 ("L2", "L2_file"),
+                 ("L3", "L3_file"),
+                 ("MD", "MD_file"),
+                 ("sse", "sse_file"),
+                 ("V1", "V1_file")],
             ),
         ]
     )
diff --git a/dmriprep/workflows/dwi/unring.py b/dmriprep/workflows/dwi/unring.py
index dfa15197..59da043b 100644
--- a/dmriprep/workflows/dwi/unring.py
+++ b/dmriprep/workflows/dwi/unring.py
@@ -1,28 +1,28 @@
-# -*- coding: utf-8 -*-
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
-
-
-def init_unring_wf():
-
-    wf = pe.Workflow(name="unring_wf")
-
-    inputnode = pe.Node(
-        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
-    )
-
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
-    )
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-
-    wf.connect(
-        [
-            (inputnode, unring, [("dwi_file", "in_file")]),
-            (unring, outputnode, [("out_file", "out_file")]),
-        ]
-    )
-
-    return wf
+# -*- coding: utf-8 -*-
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_unring_wf():
+
+    wf = pe.Workflow(name="unring_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
+    )
+
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    wf.connect(
+        [
+            (inputnode, unring, [("dwi_file", "in_file")]),
+            (unring, outputnode, [("out_file", "out_file")]),
+        ]
+    )
+
+    return wf
diff --git a/setup.cfg b/setup.cfg
index 444b2318..6d0e7a48 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -26,7 +26,7 @@ install_requires =
     nibabel >=2.2.1
     indexed_gzip >=0.8.8
     nilearn !=0.5.0, !=0.5.1
-    nipype >=1.2.0
+    nipype @ git+https://github.com/nipy/nipype.git@01a27722014c50258092505ae717511ff0d953bc
     psutil >=5.4
     pybids ~= 0.9.2
     nitime

From 1aa443a58d863a1ce9388f32a3b2a195aa490abe Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 7 Aug 2019 17:23:32 -0400
Subject: [PATCH 102/156] wip

---
 dmriprep/workflows/dwi/base.py                |  51 ++--
 dmriprep/workflows/dwi/denoise.py             |   8 +-
 dmriprep/workflows/dwi/eddy.py                | 273 ++++++++++++++++++
 .../dwi/{remove_artefacts.py => prep_dwi.py}  |  32 +-
 dmriprep/workflows/dwi/resample.py            |  22 +-
 dmriprep/workflows/dwi/unring.py              |   8 +-
 6 files changed, 316 insertions(+), 78 deletions(-)
 create mode 100644 dmriprep/workflows/dwi/eddy.py
 rename dmriprep/workflows/dwi/{remove_artefacts.py => prep_dwi.py} (62%)

diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 8acdb997..f03a8458 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -4,8 +4,6 @@
 Orchestrating the dwi preprocessing workflows
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. autofunction:: init_dwi_preproc_wf
-
 """
 
 from bids import BIDSLayout
@@ -93,6 +91,14 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
         name="outputnode",
     )
 
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    resample = pe.Node(
+        mrtrix3.MRResize(voxel_size=parameters.output_resolution), name="resample"
+    )
+
     def gen_index(in_file):
         import os
         import numpy as np
@@ -101,10 +107,7 @@ def gen_index(in_file):
         from nipype.utils.filemanip import fname_presuffix
 
         out_file = fname_presuffix(
-            in_file,
-            suffix="_index.txt",
-            newpath=os.path.abspath("."),
-            use_ext=False,
+            in_file, suffix="_index.txt", newpath=os.path.abspath("."), use_ext=False
         )
         vols = nib.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
         index_lines = np.ones((vols,))
@@ -114,9 +117,7 @@ def gen_index(in_file):
 
     gen_idx = pe.Node(
         niu.Function(
-            input_names=["in_file"],
-            output_names=["out_file"],
-            function=gen_index,
+            input_names=["in_file"], output_names=["out_file"], function=gen_index
         ),
         name="gen_index",
     )
@@ -162,11 +163,7 @@ def gen_acqparams(in_file, metadata):
     dwi_wf.connect(
         [
             (inputnode, gen_idx, [("dwi_file", "in_file")]),
-            (
-                inputnode,
-                acqp,
-                [("dwi_file", "in_file"), ("dwi_meta", "metadata")],
-            ),
+            (inputnode, acqp, [("dwi_file", "in_file"), ("dwi_meta", "metadata")]),
         ]
     )
 
@@ -215,13 +212,10 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
     avg_b0_0.inputs.b0_thresh = parameters.b0_thresh
 
     bet_dwi0 = pe.Node(
-        fsl.BET(frac=parameters.bet_dwi, mask=True, robust=True),
-        name="bet_dwi_pre",
+        fsl.BET(frac=parameters.bet_dwi, mask=True, robust=True), name="bet_dwi_pre"
     )
 
-    ecc = pe.Node(
-        fsl.Eddy(repol=True, cnr_maps=True, residuals=True), name="fsl_eddy"
-    )
+    ecc = pe.Node(fsl.Eddy(repol=True, cnr_maps=True, residuals=True), name="fsl_eddy")
 
     if parameters.omp_nthreads:
         ecc.inputs.num_threads = parameters.omp_nthreads
@@ -290,9 +284,7 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
 
     bias_correct = pe.Node(
-        ants.N4BiasFieldCorrection(
-            save_bias=True, copy_header=True, dimension=3
-        ),
+        ants.N4BiasFieldCorrection(save_bias=True, copy_header=True, dimension=3),
         name="bias_correct",
     )
 
@@ -313,9 +305,7 @@ def get_b0_mask_fn(b0_file):
 
     b0mask_node = pe.Node(
         niu.Function(
-            input_names=["b0_file"],
-            output_names=["mask_file"],
-            function=get_b0_mask_fn,
+            input_names=["b0_file"], output_names=["mask_file"], function=get_b0_mask_fn
         ),
         name="getB0Mask",
     )
@@ -324,11 +314,7 @@ def get_b0_mask_fn(b0_file):
         [
             (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
             (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
-            (
-                inputnode,
-                ecc,
-                [("bval_file", "in_bval"), ("bvec_file", "in_bvec")],
-            ),
+            (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
             (bet_dwi0, ecc, [("mask_file", "in_mask")]),
             (gen_idx, ecc, [("out_file", "in_index")]),
             (acqp, ecc, [("out_file", "in_acqp")]),
@@ -440,10 +426,7 @@ def get_b0_mask_fn(b0_file):
             (
                 eddy_quad,
                 outputnode,
-                [
-                    ("qc_json", "out_eddy_quad_json"),
-                    ("qc_pdf", "out_eddy_quad_pdf"),
-                ],
+                [("qc_json", "out_eddy_quad_json"), ("qc_pdf", "out_eddy_quad_pdf")],
             ),
             (
                 tensor_wf,
diff --git a/dmriprep/workflows/dwi/denoise.py b/dmriprep/workflows/dwi/denoise.py
index cd42584d..914a92d6 100644
--- a/dmriprep/workflows/dwi/denoise.py
+++ b/dmriprep/workflows/dwi/denoise.py
@@ -8,13 +8,9 @@ def init_denoise_wf():
 
     wf = pe.Workflow(name="denoise_wf")
 
-    inputnode = pe.Node(
-        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
-    )
+    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
 
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
-    )
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
 
     denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
 
diff --git a/dmriprep/workflows/dwi/eddy.py b/dmriprep/workflows/dwi/eddy.py
new file mode 100644
index 00000000..7676ca30
--- /dev/null
+++ b/dmriprep/workflows/dwi/eddy.py
@@ -0,0 +1,273 @@
+# -*- coding: utf-8 -*-
+
+"""
+Orchestrating the dwi preprocessing workflows
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_dwi_preproc_wf
+
+"""
+
+from bids import BIDSLayout
+from nipype.pipeline import engine as pe
+from nipype.interfaces import ants, fsl, mrtrix3, utility as niu
+from numba import cuda
+
+from .remove_artefacts import init_remove_artefacts_wf
+from .tensor import init_tensor_wf
+
+# from ..fieldmap.base import init_sdc_prep_wf
+
+FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
+
+
+def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
+
+    # fmaps = []
+    # synb0 = ""
+    #
+    # # If use_synb0 set, get synb0 from files
+    # if parameters.synb0_dir:
+    #     synb0_layout = BIDSLayout(
+    #         parameters.synb0_dir, validate=False, derivatives=True
+    #     )
+    #     synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
+    # else:
+    #     fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
+    #     if not fmaps:
+    #         raise Exception(
+    #             "No fieldmaps found for participant {}. "
+    #             "All workflows require fieldmaps".format(subject_id)
+    #         )
+    #
+    #     for fmap in fmaps:
+    #         fmap["metadata"] = parameters.layout.get_metadata(
+    #             fmap[fmap["suffix"]]
+    #         )
+    #
+    # sdc_wf = init_sdc_prep_wf(
+    #     subject_id,
+    #     fmaps,
+    #     metadata,
+    #     parameters.layout,
+    #     parameters.bet_mag,
+    #     synb0,
+    # )
+
+    dwi_wf = pe.Workflow(name="dwi_preproc_wf")
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                "subject_id",
+                "dwi_file",
+                "dwi_meta",
+                "bvec_file",
+                "bval_file",
+                "out_dir",
+                "eddy_niter",
+            ]
+        ),
+        name="inputnode",
+    )
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                "out_dwi",
+                "out_bval",
+                "out_bvec",
+                "index",
+                "acq_params",
+                "out_mask",
+                "out_b0_pre",
+                "out_b0_mask_pre",
+                "out_eddy_quad_json",
+                "out_eddy_quad_pdf",
+                "out_dtifit_FA",
+                "out_dtifit_V1",
+                "out_dtifit_sse",
+                "out_noise",
+            ]
+        ),
+        name="outputnode",
+    )
+
+    ecc = pe.Node(fsl.Eddy(repol=True, cnr_maps=True, residuals=True), name="fsl_eddy")
+
+    if parameters.omp_nthreads:
+        ecc.inputs.num_threads = parameters.omp_nthreads
+
+    try:
+        if cuda.gpus:
+            ecc.inputs.use_cuda = True
+    except:
+        ecc.inputs.use_cuda = False
+
+    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name="denoise_eddy")
+
+    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
+
+    get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
+    get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
+
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
+
+    bias_correct = pe.Node(
+        ants.N4BiasFieldCorrection(save_bias=True, copy_header=True, dimension=3),
+        name="bias_correct",
+    )
+
+    def get_b0_mask_fn(b0_file):
+        import os
+        import nibabel as nib
+        from nipype.utils.filemanip import fname_presuffix
+        from dipy.segment.mask import median_otsu
+
+        mask_file = fname_presuffix(
+            b0_file, suffix="_mask", newpath=os.path.abspath(".")
+        )
+        img = nib.load(b0_file)
+        data, aff = img.get_data(), img.affine
+        _, mask = median_otsu(data, 2, 1)
+        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
+        return mask_file
+
+    b0mask_node = pe.Node(
+        niu.Function(
+            input_names=["b0_file"], output_names=["mask_file"], function=get_b0_mask_fn
+        ),
+        name="getB0Mask",
+    )
+
+    dwi_wf.connect(
+        [
+            (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
+            (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
+            (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
+            (bet_dwi0, ecc, [("mask_file", "in_mask")]),
+            (gen_idx, ecc, [("out_file", "in_index")]),
+            (acqp, ecc, [("out_file", "in_acqp")]),
+            (ecc, denoise_eddy, [("out_corrected", "in_file")]),
+            (ecc, fslroi, [("out_corrected", "in_file")]),
+            (fslroi, bias_correct, [("roi_file", "input_image")]),
+            (bias_correct, b0mask_node, [("output_image", "b0_file")]),
+            (
+                ecc,
+                eddy_quad,
+                [
+                    (("out_corrected", get_path), "base_name"),
+                    (("out_corrected", get_qc_path), "output_dir"),
+                    ("out_rotated_bvecs", "bvec_file"),
+                ],
+            ),
+            (inputnode, eddy_quad, [("bval_file", "bval_file")]),
+            (b0mask_node, eddy_quad, [("mask_file", "mask_file")]),
+            (gen_idx, eddy_quad, [("out_file", "idx_file")]),
+            (acqp, eddy_quad, [("out_file", "param_file")]),
+        ]
+    )
+
+    tensor_wf = init_tensor_wf()
+
+    dwi_wf.connect(
+        [
+            (inputnode, tensor_wf, [("bval_file", "inputnode.bval_file")]),
+            (b0mask_node, tensor_wf, [("mask_file", "inputnode.mask_file")]),
+            (
+                ecc,
+                tensor_wf,
+                [
+                    ("out_corrected", "inputnode.dwi_file"),
+                    ("out_rotated_bvecs", "inputnode.bvec_file"),
+                ],
+            ),
+        ]
+    )
+
+    # # If synb0 is meant to be used
+    # if parameters.synb0_dir:
+    #     dwi_wf.connect(
+    #         [
+    #             (
+    #                 sdc_wf,
+    #                 ecc,
+    #                 [
+    #                     ("outputnode.out_topup", "in_topup_fieldcoef"),
+    #                     ("outputnode.out_movpar", "in_topup_movpar"),
+    #                 ],
+    #             ),
+    #             (
+    #                 sdc_wf,
+    #                 eddy_quad,
+    #                 [("outputnode.out_enc_file", "param_file")],
+    #             ),
+    #         ]
+    #     )
+    #     ecc.inputs.in_acqp = parameters.acqp_file
+    # else:
+    #     # Decide what ecc will take: topup or fmap
+    #     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+    #     fmap = fmaps[0]
+    #     # Else If epi files detected
+    #     if fmap["suffix"] == "epi":
+    #         dwi_wf.connect(
+    #             [
+    #                 (
+    #                     sdc_wf,
+    #                     ecc,
+    #                     [
+    #                         ("outputnode.out_topup", "in_topup_fieldcoef"),
+    #                         ("outputnode.out_enc_file", "in_acqp"),
+    #                         ("outputnode.out_movpar", "in_topup_movpar"),
+    #                     ],
+    #                 ),
+    #                 (
+    #                     sdc_wf,
+    #                     eddy_quad,
+    #                     [("outputnode.out_enc_file", "param_file")],
+    #                 ),
+    #             ]
+    #         )
+    #     # Otherwise (fieldmaps)
+    #     else:
+    #         dwi_wf.connect(
+    #             [
+    #                 (
+    #                     sdc_wf,
+    #                     ecc,
+    #                     [(("outputnode.out_fmap", get_path), "field")],
+    #                 ),
+    #                 (acqp, ecc, [("out_file", "in_acqp")]),
+    #                 (acqp, eddy_quad, [("out_file", "param_file")]),
+    #             ]
+    #         )
+
+    dwi_wf.connect(
+        [
+            (ecc, outputnode, [("out_corrected", "out_dwi")]),
+            (inputnode, outputnode, [("bval_file", "out_bval")]),
+            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
+            (gen_idx, outputnode, [("out_file", "index")]),
+            (acqp, outputnode, [("out_file", "acq_params")]),
+            (b0mask_node, outputnode, [("mask_file", "out_mask")]),
+            (avg_b0_0, outputnode, [("out_file", "out_b0_pre")]),
+            (bet_dwi0, outputnode, [("mask_file", "out_b0_mask_pre")]),
+            (
+                eddy_quad,
+                outputnode,
+                [("qc_json", "out_eddy_quad_json"), ("qc_pdf", "out_eddy_quad_pdf")],
+            ),
+            (
+                tensor_wf,
+                outputnode,
+                [
+                    ("outputnode.FA_file", "out_dtifit_FA"),
+                    ("outputnode.V1_file", "out_dtifit_V1"),
+                    ("outputnode.sse_file", "out_dtifit_sse"),
+                ],
+            ),
+        ]
+    )
+
+    return dwi_wf
diff --git a/dmriprep/workflows/dwi/remove_artefacts.py b/dmriprep/workflows/dwi/prep_dwi.py
similarity index 62%
rename from dmriprep/workflows/dwi/remove_artefacts.py
rename to dmriprep/workflows/dwi/prep_dwi.py
index 16b84dbc..1c045deb 100644
--- a/dmriprep/workflows/dwi/remove_artefacts.py
+++ b/dmriprep/workflows/dwi/prep_dwi.py
@@ -1,18 +1,16 @@
 # -*- coding: utf-8 -*-
 
 """
-Denoising, unringing and upsampling of dwi images
+Denoising, unringing and resampling of dwi images
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. autofunction:: init_remove_artefacts_wf
-
 """
 
 from nipype.pipeline import engine as pe
 from nipype.interfaces import mrtrix3, utility as niu
 
 
-def init_remove_artefacts_wf(ignore_nodes):
+def init_remove_artefacts_wf(parameters):
 
     dwi_prep_wf = pe.Workflow(name="remove_artefacts_wf")
 
@@ -20,19 +18,17 @@ def init_remove_artefacts_wf(ignore_nodes):
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
 
-    inputnode = pe.Node(
-        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
+    resample = pe.Node(
+        mrtrix3.MRResize(voxel_size=parameters.output_resolution), name="resample"
     )
 
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
-    )
+    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
 
     prep_full = ["denoise", "unring"]
 
-    prep_wanted_str = [
-        node for node in prep_full if not (node in ignore_nodes)
-    ]
+    prep_wanted_str = [node for node in prep_full if not (node in ignore_nodes)]
 
     # Translate string input to node names
     str2node = {"denoise": denoise, "unring": unring}
@@ -41,17 +37,13 @@ def init_remove_artefacts_wf(ignore_nodes):
 
     # If no steps selected, just connect input to output
     if not (prep_wanted):
-        dwi_prep_wf.connect(
-            [(inputnode, outputnode, [("dwi_file", "out_file")])]
-        )
+        dwi_prep_wf.connect([(inputnode, outputnode, [("dwi_file", "out_file")])])
 
     # If there are steps
     else:
         # Must at least connect input node to first node
         first_node = prep_wanted[0]
-        dwi_prep_wf.connect(
-            [(inputnode, first_node, [("dwi_file", "in_file")])]
-        )
+        dwi_prep_wf.connect([(inputnode, first_node, [("dwi_file", "in_file")])])
         # Loop through the prep order
         # Note: only works if each node has in_file and out_file
         # Can work around this by wrapping in node/workflow with in_file+out_file
@@ -61,8 +53,6 @@ def init_remove_artefacts_wf(ignore_nodes):
             prev = curr_node
         # Connect last node to output node
         last_node = prep_wanted[-1]
-        dwi_prep_wf.connect(
-            [(last_node, outputnode, [("out_file", "out_file")])]
-        )
+        dwi_prep_wf.connect([(last_node, outputnode, [("out_file", "out_file")])])
 
     return dwi_prep_wf
diff --git a/dmriprep/workflows/dwi/resample.py b/dmriprep/workflows/dwi/resample.py
index bebdf57c..6fc6566b 100644
--- a/dmriprep/workflows/dwi/resample.py
+++ b/dmriprep/workflows/dwi/resample.py
@@ -1,27 +1,27 @@
 # -*- coding: utf-8 -*-
 
 from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
+from nipype.interfaces import utility as niu
 
+from ...interfaces import mrtrix3
 
-def init_resample_wf():
+
+def init_resample_wf(parameters):
 
     wf = pe.Workflow(name="resample_wf")
 
-    inputnode = pe.Node(
-        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
-    )
+    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
 
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
-    )
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
 
-    resample = pe.Node(mrtrix3.MRResize(), name="resample")
+    resample = pe.Node(
+        mrtrix3.MRResize(voxel_size=parameters.output_resolution), name="resample"
+    )
 
     wf.connect(
         [
-            (inputnode, unring, [("dwi_file", "in_file")]),
-            (unring, outputnode, [("out_file", "out_file")]),
+            (inputnode, resample, [("dwi_file", "in_file")]),
+            (resample, outputnode, [("out_file", "out_file")]),
         ]
     )
 
diff --git a/dmriprep/workflows/dwi/unring.py b/dmriprep/workflows/dwi/unring.py
index 59da043b..f3777ae3 100644
--- a/dmriprep/workflows/dwi/unring.py
+++ b/dmriprep/workflows/dwi/unring.py
@@ -8,13 +8,9 @@ def init_unring_wf():
 
     wf = pe.Workflow(name="unring_wf")
 
-    inputnode = pe.Node(
-        niu.IdentityInterface(fields=["dwi_file"]), name="inputnode"
-    )
+    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
 
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_file"]), name="outputnode"
-    )
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
 

From 752e6f02418e1747e2311f16bef02336623d9d68 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 8 Aug 2019 18:15:47 -0400
Subject: [PATCH 103/156] update documentation

---
 CHANGES.rst           |   5 +++
 CONTRIBUTING.rst      |  31 ++++++++++++-
 HISTORY.rst           |   8 ----
 README.rst            | 101 ++++++++----------------------------------
 docs/changes.rst      |   5 +++
 docs/conf.py          |  14 ++++--
 docs/history.rst      |   1 -
 docs/index.rst        |   4 +-
 docs/installation.rst |  35 +++++++++++++--
 docs/links.rst        |   6 +++
 docs/outputs.rst      |   2 +
 docs/usage.rst        |  38 ++++++++++++++--
 docs/workflows.rst    |   2 +
 13 files changed, 145 insertions(+), 107 deletions(-)
 create mode 100644 CHANGES.rst
 delete mode 100644 HISTORY.rst
 create mode 100644 docs/changes.rst
 delete mode 100644 docs/history.rst
 create mode 100644 docs/links.rst

diff --git a/CHANGES.rst b/CHANGES.rst
new file mode 100644
index 00000000..fa105cb7
--- /dev/null
+++ b/CHANGES.rst
@@ -0,0 +1,5 @@
+0.1.0 (2018-09-06)
+==================
+
+* First release on GitHub.
+
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 6ddb7eaa..a936a315 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -4,8 +4,31 @@
 Contributing
 ============
 
-Contributions are welcome, and they are greatly appreciated! Every little bit
-helps, and credit will always be given.
+We love contributions! dmriprep is open source, built on open source,
+and we'd love to have you hang out in our community.
+
+**Imposter syndrome disclaimer**: We want your help. No, really.
+
+There may be a little voice inside your head that is telling you that
+you're not ready to be an open source contributor; that your skills
+aren't nearly good enough to contribute. What could you possibly offer a
+project like this one?
+
+We assure you - the little voice in your head is wrong. If you can
+write code at all, you can contribute code to open source. Contributing
+to open source projects is a fantastic way to advance one's coding
+skills. Writing perfect code isn't the measure of a good developer (that
+would disqualify all of us!); it's trying to create something, making
+mistakes, and learning from those mistakes. That's how we all improve,
+and we are happy to help others learn.
+
+Being an open source contributor doesn't just mean writing code, either.
+You can help out by writing documentation, tests, or even giving
+feedback about the project (and yes - that includes giving feedback
+about the contribution process). Some of these contributions may be the
+most valuable to the project as a whole, because you're coming to the
+project with fresh eyes, so you can see the errors and assumptions that
+seasoned contributors have glossed over.
 
 Installing a development version of dmriprep
 --------------------------------------------
@@ -152,3 +175,7 @@ $ git push
 $ git push --tags
 
 Travis will then deploy to PyPI if tests pass.
+
+The imposter syndrome disclaimer was originally written by
+`Adrienne Lowe <https://github.com/adriennefriend>`_ for a `PyCon talk <https://www.youtube.com/watch?v=6Uj746j9Heo>`_, and was
+adapted based on its use in the README file for the `MetPy project <https://github.com/Unidata/MetPy>`_.
diff --git a/HISTORY.rst b/HISTORY.rst
deleted file mode 100644
index 96674295..00000000
--- a/HISTORY.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-=======
-History
-=======
-
-0.1.0 (2019-07-08)
-------------------
-
-* First release on GitHub.
diff --git a/README.rst b/README.rst
index 61220368..de3acd55 100644
--- a/README.rst
+++ b/README.rst
@@ -25,95 +25,30 @@ Preparing your data
 
 You should have raw data organized in the BIDS format. Also, you should have run Freesurfer and the results should be in a derivatives/ folder:
 
-```
-bids
-├── derivatives
-│   └── sub-01
-│       └── freesurfer
-└── sub-01
-  ├── dwi
-  │   ├── sub-01_ses-01_dwi.bval
-  │   ├── sub-01_ses-01_dwi.bvec
-  │   ├── sub-01_ses-01_dwi.json
-  │   └── sub-01_ses-01_dwi.nii.gz
-  └── fmap
-      ├── sub-01_ses-01_acq-dwi_dir-AP_epi.json
-      ├── sub-01_ses-01_acq-dwi_dir-AP_epi.nii.gz
-      ├── sub-01_ses-01_acq-dwi_dir-PA_epi.json
-      └── sub-01_ses-01_acq-dwi_dir-PA_epi.nii.gz
-```
-
-Quickstart
-----------
-
-.. code-block:: bash
-  git clone https://github.com/tigrlab/dmriprep
-  cd dmriprep
-  python setup.py install
-
-  dmriprep $BIDS_INPUT_DIR $OUTPUT_DIR --participant-label 01
-
-.. code-block:: bash
-git clone https://github.com/tigrlab/dmriprep
-cd dmriprep
-make docker
-
-If you don't want to log into the docker image:
-.. code-block:: bash
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod dmriprep /inputs /outputs
-
-If you want to log into the image:
-.. code-block:: bash
-docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod
-
-Run this inside the docker image:
-.. code-block:: bash
-dmriprep /inputs /output --participant-label 01
+.. code-block:: console
+
+    bids
+    ├── derivatives
+    │   └── sub-01
+    │       └── freesurfer
+    └── sub-01
+      ├── dwi
+      │   ├── sub-01_ses-01_dwi.bval
+      │   ├── sub-01_ses-01_dwi.bvec
+      │   ├── sub-01_ses-01_dwi.json
+      │   └── sub-01_ses-01_dwi.nii.gz
+      └── fmap
+          ├── sub-01_ses-01_acq-dwi_dir-AP_epi.json
+          ├── sub-01_ses-01_acq-dwi_dir-AP_epi.nii.gz
+          ├── sub-01_ses-01_acq-dwi_dir-PA_epi.json
+          └── sub-01_ses-01_acq-dwi_dir-PA_epi.nii.gz
 
 Features
 --------
 
 * TODO
 
-Contributing
-------------
-
-We love contributions! dmriprep is open source, built on open source,
-and we'd love to have you hang out in our community.
-
-We have developed some [guidelines](CONTRIBUTING.rst) for contributing to
-dmriprep.
-
-**Imposter syndrome disclaimer**: We want your help. No, really.
-
-There may be a little voice inside your head that is telling you that
-you're not ready to be an open source contributor; that your skills
-aren't nearly good enough to contribute. What could you possibly offer a
-project like this one?
-
-We assure you - the little voice in your head is wrong. If you can
-write code at all, you can contribute code to open source. Contributing
-to open source projects is a fantastic way to advance one's coding
-skills. Writing perfect code isn't the measure of a good developer (that
-would disqualify all of us!); it's trying to create something, making
-mistakes, and learning from those mistakes. That's how we all improve,
-and we are happy to help others learn.
-
-Being an open source contributor doesn't just mean writing code, either.
-You can help out by writing documentation, tests, or even giving
-feedback about the project (and yes - that includes giving feedback
-about the contribution process). Some of these contributions may be the
-most valuable to the project as a whole, because you're coming to the
-project with fresh eyes, so you can see the errors and assumptions that
-seasoned contributors have glossed over.
-
 Credits
 -------
 
-This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [`audreyr/cookiecutter-pypackage`](https://github.com/audreyr/cookiecutter-pypackage) project template.
-
-The imposter syndrome disclaimer was originally written by
-[Adrienne Lowe](https://github.com/adriennefriend) for a [PyCon
-talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was
-adapted based on its use in the README file for the [MetPy
-project](https://github.com/Unidata/MetPy).
+This package was created with `Cookiecutter <https://github.com/audreyr/cookiecutter>`_ and the `audreyr/cookiecutter-pypackage <https://github.com/audreyr/cookiecutter-pypackage>`_ project template.
diff --git a/docs/changes.rst b/docs/changes.rst
new file mode 100644
index 00000000..a7365124
--- /dev/null
+++ b/docs/changes.rst
@@ -0,0 +1,5 @@
+----------
+What's new
+----------
+
+.. includes:: ../CHANGES.rst
diff --git a/docs/conf.py b/docs/conf.py
index 8b3229f9..38c01ebf 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -20,6 +20,7 @@
 #
 import os
 import sys
+from datetime import datetime
 
 sys.path.insert(0, os.path.abspath(".."))
 
@@ -33,7 +34,11 @@
 
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
-extensions = ["sphinx.ext.autodoc", "sphinx.ext.viewcode"]
+extensions = [
+    "sphinx.ext.autodoc",
+    "sphinx.ext.viewcode",
+    "sphinx_click.ext"
+]
 
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ["_templates"]
@@ -49,8 +54,9 @@
 
 # General information about the project.
 project = "dmriprep"
-copyright = "2018, Anisha Keshavan"
 author = "Anisha Keshavan"
+copyright = "2018-%s, %s" % (datetime.now().year, author)
+
 
 # The version info for the project you're documenting, acts as replacement
 # for |version| and |release|, also used in various other places throughout
@@ -85,7 +91,7 @@
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 #
-html_theme = "alabaster"
+html_theme = "sphinx_rtd_theme"
 
 # Theme options are theme-specific and customize the look and feel of a
 # theme further.  For a list of options available for each theme, see the
@@ -130,7 +136,7 @@
         master_doc,
         "dmriprep.tex",
         "dmriprep Documentation",
-        "Anisha Keshavan",
+        author,
         "manual",
     )
 ]
diff --git a/docs/history.rst b/docs/history.rst
deleted file mode 100644
index 25064996..00000000
--- a/docs/history.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../HISTORY.rst
diff --git a/docs/index.rst b/docs/index.rst
index 96940808..01035f4c 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -7,10 +7,12 @@ Welcome to dmriprep's documentation!
 
    readme
    installation
+   changes
    usage
+   workflows
+   outputs
    contributing
    authors
-   history
 
 Indices and tables
 ==================
diff --git a/docs/installation.rst b/docs/installation.rst
index 145ede29..26e72e02 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -32,13 +32,13 @@ You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/tigrlab/dmriprep
+    $ git clone git://github.com/josephmje/dmriprep
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/tigrlab/dmriprep/tarball/master
+    $ curl  -OL https://github.com/josephmje/dmriprep/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -47,5 +47,32 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/tigrlab/dmriprep
-.. _tarball: https://github.com/tigrlab/dmriprep/tarball/master
+.. _Github repo: https://github.com/josephmje/dmriprep
+.. _tarball: https://github.com/josephmje/dmriprep/tarball/master
+
+Docker container
+----------------
+
+.. code-block:: console
+
+    $ git clone https://github.com/josephmje/dmriprep
+    $ cd dmriprep
+    $ make docker
+
+If you don't want to log into the docker image:
+
+.. code-block:: console
+
+    $ docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod dmriprep /inputs /outputs
+
+If you want to log into the image:
+
+.. code-block:: console
+
+    $ docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod
+
+Run this inside the docker image:
+
+.. code-block:: console
+
+    $ dmriprep /inputs /output --participant-label 01
diff --git a/docs/links.rst b/docs/links.rst
new file mode 100644
index 00000000..32dca760
--- /dev/null
+++ b/docs/links.rst
@@ -0,0 +1,6 @@
+.. _Nipype: http://nipype.readthedocs.io/en/latest/
+.. _BIDS: http://bids.neuroimaging.io
+.. _Usage: usage.html
+.. _Installation: installation.html
+.. _workflows: workflows.html
+.. _guidelines: contributing.html
diff --git a/docs/outputs.rst b/docs/outputs.rst
index e69de29b..4286020c 100644
--- a/docs/outputs.rst
+++ b/docs/outputs.rst
@@ -0,0 +1,2 @@
+Outputs
+=======
diff --git a/docs/usage.rst b/docs/usage.rst
index a747741b..e9c9a6b0 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -1,7 +1,37 @@
-=====
 Usage
-=====
+-----
 
-To use dmriprep in a project::
+Execution and the BIDS format
+=============================
 
-    import dmriprep
+The ``dmriprep`` workflow takes as principal input the path of the dataset
+that is to be processed.
+The input dataset is required to be in valid :abbr:`BIDS (Brain Imaging Data
+Structure)` format, and it must include at least one T1w structural image and
+a dwi series.
+We highly recommend that you validate your dataset with the free, online
+`BIDS Validator <http://bids-standard.github.io/bids-validator/>`_.
+
+The exact command to run ``dmriprep`` depends on the Installation_ method.
+The common parts of the command follow the `BIDS-Apps
+<https://github.com/BIDS-Apps>`_ definition.
+Example: ::
+
+    dmriprep data/bids_root/ out/ participant -w work/
+
+
+Command-Line Arguments
+======================
+
+.. click:: dmriprep.cli:main
+    :prog: dmriprep
+    :show-nested:
+
+Debugging
+=========
+
+Logs and crash files are output into the
+``<output dir>/dmriprep/sub-<participant_label>/log`` directory.
+Information on how to customize and understand these files can be found on the
+`nipype debugging <http://nipype.readthedocs.io/en/latest/users/debug.html>`_
+page.
diff --git a/docs/workflows.rst b/docs/workflows.rst
index e69de29b..a3745af4 100644
--- a/docs/workflows.rst
+++ b/docs/workflows.rst
@@ -0,0 +1,2 @@
+Workflows
+=========

From 76b566bb06b86790006c829465a1f1522ead58ed Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 8 Aug 2019 18:16:16 -0400
Subject: [PATCH 104/156] move mrtrix3 commands into separate workflow

---
 dmriprep/cli.py                    | 32 +++++++-------
 dmriprep/utils/hemisphere.py       | 16 +++----
 dmriprep/workflows/dwi/__init__.py |  2 +-
 dmriprep/workflows/dwi/base.py     | 68 ++++++------------------------
 dmriprep/workflows/dwi/denoise.py  | 24 -----------
 dmriprep/workflows/dwi/prep_dwi.py | 33 ++++++++-------
 dmriprep/workflows/dwi/resample.py | 28 ------------
 dmriprep/workflows/dwi/unring.py   | 24 -----------
 8 files changed, 56 insertions(+), 171 deletions(-)
 delete mode 100644 dmriprep/workflows/dwi/denoise.py
 delete mode 100644 dmriprep/workflows/dwi/resample.py
 delete mode 100644 dmriprep/workflows/dwi/unring.py

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 27680066..3ebc0455 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -34,7 +34,9 @@ def __init__(
         omp_nthreads,
         eddy_niter,
         synb0_dir,
-        acqp_file
+        acqp_file,
+        tbss,
+        diffusivity_meas,
     ):
 
         self.layout = layout
@@ -45,13 +47,15 @@ def __init__(
         self.work_dir = work_dir
         self.ignore = ignore
         self.b0_thresh = b0_thresh
-        self.output_resolution = resize_scale
+        self.output_resolution = output_resolution
         self.bet_dwi = bet_dwi
         self.bet_mag = bet_mag
         self.omp_nthreads = omp_nthreads
         self.eddy_niter = eddy_niter
         self.synb0_dir = synb0_dir
         self.acqp_file = acqp_file
+        self.tbss = (tbss,)
+        self.diffusivity_meas = diffusivity_meas
 
 
 @click.command()
@@ -61,15 +65,11 @@ def __init__(
     "output_dir", type=click.Path(exists=True, file_okay=False, writable=True)
 )
 @click.argument(
-    "analysis_level",
-    default="participant",
-    type=click.Choice(["participant", "group"]),
+    "analysis_level", default="participant", type=click.Choice(["participant", "group"])
 )
 # optional arguments
 # options for filtering BIDS queries
-@click.option(
-    "--skip_bids_validation", help="Skip BIDS validation", is_flag=True
-)
+@click.option("--skip_bids_validation", help="Skip BIDS validation", is_flag=True)
 @click.option(
     "--participant_label",
     default=None,
@@ -96,7 +96,7 @@ def __init__(
 @click.option(
     "--output_resolution",
     help="The isotropic voxel size in mm the data will be resampled to before eddy.",
-    type=float
+    type=float,
 )
 # specific options for eddy
 @click.option(
@@ -154,17 +154,13 @@ def __init__(
     help="working directory",
     type=click.Path(exists=True, file_okay=False, writable=True),
 )
-@click.option(
-    "--tbss",
-    help="Run TBSS"
-    is_flag=True
-)
+@click.option("--tbss", help="Run TBSS", is_flag=True)
 @click.option(
     "--diffusivity_meas",
     help="Specify which measures to calculate.",
     default=("FA",),
     type=click.Choice(["FA", "MD", "AD", "RD"]),
-    multiple=True
+    multiple=True,
 )
 @click.option(
     "--synb0_dir",
@@ -188,6 +184,8 @@ def main(
     eddy_niter,
     synb0_dir,
     acqp_file,
+    tbss,
+    diffusivity_meas,
 ):
     """
     BIDS_DIR: The directory with the input dataset formatted according to the
@@ -237,10 +235,12 @@ def main(
         eddy_niter=eddy_niter,
         synb0_dir=synb0_dir,
         acqp_file=acqp_file,
+        tbss=tbss,
+        diffusivity_meas=list(diffusivity_meas),
     )
 
     wf = init_dmriprep_wf(parameters)
-    wf.write_graph(graph2use="colored")
+    wf.write_graph()
     wf.config["execution"]["remove_unnecessary_outputs"] = False
     wf.config["execution"]["keep_inputs"] = True
     wf.config["execution"]["crashfile_format"] = "txt"
diff --git a/dmriprep/utils/hemisphere.py b/dmriprep/utils/hemisphere.py
index b5dcdc6d..648f2a2f 100644
--- a/dmriprep/utils/hemisphere.py
+++ b/dmriprep/utils/hemisphere.py
@@ -5,26 +5,26 @@
 
 
 def is_hemispherical(vecs):
-    """Test whether all points on a unit sphere lie in the same hemisphere.
+    """
+    Test whether all points on a unit sphere lie in the same hemisphere.
+
+    **Inputs**
 
-    Parameters
-    ----------
     vecs : numpy.ndarray
         2D numpy array with shape (N, 3) where N is the number of points.
         All points must lie on the unit sphere.
 
-    Returns
-    -------
+    **Outputs**
+
     is_hemi : bool
         If True, one can find a hemisphere that contains all the points.
         If False, then the points do not lie in any hemisphere
-
     pole : numpy.ndarray
         If `is_hemi == True`, then pole is the "central" pole of the
         input vectors. Otherwise, pole is the zero vector.
 
-    References
-    ----------
+    **References**
+
     https://rstudio-pubs-static.s3.amazonaws.com/27121_a22e51b47c544980bad594d5e0bb2d04.html  # noqa
     """
     if vecs.shape[1] != 3:
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index a3291947..9240bb25 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 
 from .base import init_dwi_preproc_wf
-from .remove_artefacts import init_remove_artefacts_wf
+from .prep_dwi import init_prep_dwi_wf
 from .tensor import init_tensor_wf
 from .outputs import init_output_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index f03a8458..5903ae9f 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -11,7 +11,7 @@
 from nipype.interfaces import ants, fsl, mrtrix3, utility as niu
 from numba import cuda
 
-from .remove_artefacts import init_remove_artefacts_wf
+from .prep_dwi import init_prep_dwi_wf
 from .tensor import init_tensor_wf
 
 # from ..fieldmap.base import init_sdc_prep_wf
@@ -91,13 +91,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
         name="outputnode",
     )
 
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-
-    resample = pe.Node(
-        mrtrix3.MRResize(voxel_size=parameters.output_resolution), name="resample"
-    )
+    dwi_prep_wf = init_prep_dwi_wf(parameters.ignore, parameters.output_resolution)
 
     def gen_index(in_file):
         import os
@@ -242,51 +236,9 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
             ]
         )
 
-    if "denoise" in parameters.ignore:
-        unring_wf = init_unring_wf()
-
-        dwi_wf.connect(
-            [
-                (inputnode, unring_wf, [("dwi_file", "inputnode.dwi_file")]),
-                (unring_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
-                (unring_wf, ecc, [("outputnode.out_file", "in_file")]),
-            ]
-        )
-
-    elif "unring" in parameters.ignore:
-        denoise_wf = init_denoise_wf()
-
-        dwi_wf.connect(
-            [
-                (inputnode, denoise_wf, [("dwi_file", "inputnode.dwi_file")]),
-                (denoise_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
-                (denoise_wf, ecc, [("outputnode.out_file", "in_file")]),
-            ]
-        )
-
-    else:
-        denoise_wf = init_denoise_wf()
-        unring_wf = init_unring_wf()
-
-        dwi_wf.connect(
-            [
-                (inputnode, denoise_wf, [("dwi_file", "inputnode.dwi_file")]),
-                (
-                    denoise_wf,
-                    unring_wf,
-                    [("outputnode.out_file", "inputnode.dwi_file")],
-                ),
-                (unring_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
-                (unring_wf, ecc, [("outputnode.out_file", "in_file")]),
-            ]
-        )
-
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
 
-    bias_correct = pe.Node(
-        ants.N4BiasFieldCorrection(save_bias=True, copy_header=True, dimension=3),
-        name="bias_correct",
-    )
+    bias_correct = pe.Node(mrtrix3.DWIBiasCorrect(use_ants=True), name="bias_correct")
 
     def get_b0_mask_fn(b0_file):
         import os
@@ -312,16 +264,24 @@ def get_b0_mask_fn(b0_file):
 
     dwi_wf.connect(
         [
+            (inputnode, dwi_prep_wf, [("dwi_file", "inputnode.dwi_file")]),
+            (dwi_prep_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
             (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
             (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
+            (dwi_prep_wf, ecc, [("outputnode.out_file", "in_file")]),
             (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
             (bet_dwi0, ecc, [("mask_file", "in_mask")]),
             (gen_idx, ecc, [("out_file", "in_index")]),
             (acqp, ecc, [("out_file", "in_acqp")]),
             (ecc, denoise_eddy, [("out_corrected", "in_file")]),
-            (ecc, fslroi, [("out_corrected", "in_file")]),
-            (fslroi, bias_correct, [("roi_file", "input_image")]),
-            (bias_correct, b0mask_node, [("output_image", "b0_file")]),
+            (
+                ecc,
+                bias_correct,
+                [("out_corrected", "in_file"), ("out_rotated_bvecs", "in_bvec")],
+            ),
+            (inputnode, bias_correct, [("bval_file", "in_bval")]),
+            (bias_correct, fslroi, [("out_file", "in_file")]),
+            (fslroi, b0mask_node, [("roi_file", "b0_file")]),
             (
                 ecc,
                 eddy_quad,
diff --git a/dmriprep/workflows/dwi/denoise.py b/dmriprep/workflows/dwi/denoise.py
deleted file mode 100644
index 914a92d6..00000000
--- a/dmriprep/workflows/dwi/denoise.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# -*- coding: utf-8 -*-
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
-
-
-def init_denoise_wf():
-
-    wf = pe.Workflow(name="denoise_wf")
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
-
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-
-    wf.connect(
-        [
-            (inputnode, denoise, [("dwi_file", "in_file")]),
-            (denoise, outputnode, [("out_file", "out_file")]),
-        ]
-    )
-
-    return wf
diff --git a/dmriprep/workflows/dwi/prep_dwi.py b/dmriprep/workflows/dwi/prep_dwi.py
index 1c045deb..68330241 100644
--- a/dmriprep/workflows/dwi/prep_dwi.py
+++ b/dmriprep/workflows/dwi/prep_dwi.py
@@ -10,49 +10,50 @@
 from nipype.interfaces import mrtrix3, utility as niu
 
 
-def init_remove_artefacts_wf(parameters):
+def init_prep_dwi_wf(ignore, output_resolution):
 
-    dwi_prep_wf = pe.Workflow(name="remove_artefacts_wf")
+    prep_dwi_wf = pe.Workflow(name="prep_dwi_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
 
     denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
 
-    resample = pe.Node(
-        mrtrix3.MRResize(voxel_size=parameters.output_resolution), name="resample"
-    )
+    resample = pe.Node(mrtrix3.MRResize(voxel_size=[1, 1, 1]), name="resample")
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
+    prep_full = ["denoise", "unring", "resample"]
 
-    prep_full = ["denoise", "unring"]
+    if not output_resolution:
+        ignore.append("resample")
 
-    prep_wanted_str = [node for node in prep_full if not (node in ignore_nodes)]
+    prep_wanted_str = [node for node in prep_full if not (node in ignore)]
 
     # Translate string input to node names
-    str2node = {"denoise": denoise, "unring": unring}
+    str2node = {"denoise": denoise, "unring": unring, "resample": resample}
 
     prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
 
     # If no steps selected, just connect input to output
     if not (prep_wanted):
-        dwi_prep_wf.connect([(inputnode, outputnode, [("dwi_file", "out_file")])])
+        prep_dwi_wf.connect([(inputnode, outputnode, [("dwi_file", "out_file")])])
 
     # If there are steps
     else:
         # Must at least connect input node to first node
         first_node = prep_wanted[0]
-        dwi_prep_wf.connect([(inputnode, first_node, [("dwi_file", "in_file")])])
+        prep_dwi_wf.connect([(inputnode, first_node, [("dwi_file", "in_file")])])
         # Loop through the prep order
         # Note: only works if each node has in_file and out_file
         # Can work around this by wrapping in node/workflow with in_file+out_file
         prev = first_node
         for curr_node in prep_wanted[1:]:
-            dwi_prep_wf.connect([(prev, curr_node, [("out_file", "in_file")])])
+            prep_dwi_wf.connect([(prev, curr_node, [("out_file", "in_file")])])
             prev = curr_node
         # Connect last node to output node
         last_node = prep_wanted[-1]
-        dwi_prep_wf.connect([(last_node, outputnode, [("out_file", "out_file")])])
+        prep_dwi_wf.connect([(last_node, outputnode, [("out_file", "out_file")])])
 
-    return dwi_prep_wf
+    return prep_dwi_wf
diff --git a/dmriprep/workflows/dwi/resample.py b/dmriprep/workflows/dwi/resample.py
deleted file mode 100644
index 6fc6566b..00000000
--- a/dmriprep/workflows/dwi/resample.py
+++ /dev/null
@@ -1,28 +0,0 @@
-# -*- coding: utf-8 -*-
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import utility as niu
-
-from ...interfaces import mrtrix3
-
-
-def init_resample_wf(parameters):
-
-    wf = pe.Workflow(name="resample_wf")
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
-
-    resample = pe.Node(
-        mrtrix3.MRResize(voxel_size=parameters.output_resolution), name="resample"
-    )
-
-    wf.connect(
-        [
-            (inputnode, resample, [("dwi_file", "in_file")]),
-            (resample, outputnode, [("out_file", "out_file")]),
-        ]
-    )
-
-    return wf
diff --git a/dmriprep/workflows/dwi/unring.py b/dmriprep/workflows/dwi/unring.py
deleted file mode 100644
index f3777ae3..00000000
--- a/dmriprep/workflows/dwi/unring.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# -*- coding: utf-8 -*-
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
-
-
-def init_unring_wf():
-
-    wf = pe.Workflow(name="unring_wf")
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-
-    wf.connect(
-        [
-            (inputnode, unring, [("dwi_file", "in_file")]),
-            (unring, outputnode, [("out_file", "out_file")]),
-        ]
-    )
-
-    return wf

From 652fdf6db3e001a9a7b67030090c28b7920c8605 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 8 Aug 2019 18:16:26 -0400
Subject: [PATCH 105/156] update setup metadata

---
 setup.cfg | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/setup.cfg b/setup.cfg
index 6d0e7a48..51aabcb7 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -26,7 +26,7 @@ install_requires =
     nibabel >=2.2.1
     indexed_gzip >=0.8.8
     nilearn !=0.5.0, !=0.5.1
-    nipype @ git+https://github.com/nipy/nipype.git@01a27722014c50258092505ae717511ff0d953bc
+    nipype >=1.2.0
     psutil >=5.4
     pybids ~= 0.9.2
     nitime
@@ -52,8 +52,8 @@ doc =
     packaging
     pydot >=1.2.3
     pydotplus
-    sphinx >=1.5.3
-    sphinx-argparse
+    Sphinx >=2.1.2
+    sphinx-click
     sphinx_rtd_theme
 docs =
     %(doc)s
@@ -83,9 +83,7 @@ dmriprep =
 
 [options.entry_points]
 console_scripts =
-    dmriprep=dmriprep.cli.run:main
-    dmriprep-boldmask=dmriprep.cli.dmriprep_bold_mask:main
-    sample_openfmri=dmriprep.cli.sample_openfmri:main
+    dmriprep=dmriprep.cli:main
 
 [versioneer]
 VCS = git

From 39b0712eeec7ed82d72902f090706d2d24c01a57 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 12 Aug 2019 10:08:21 -0400
Subject: [PATCH 106/156] automatically update CHANGES.rst with each PR - taken
 from fmriprep

---
 update_changes.sh | 70 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 update_changes.sh

diff --git a/update_changes.sh b/update_changes.sh
new file mode 100644
index 00000000..f962b8da
--- /dev/null
+++ b/update_changes.sh
@@ -0,0 +1,70 @@
+#!/bin/bash
+#
+# Collects the pull-requests since the latest release and
+# aranges them in the CHANGES.rst.txt file.
+#
+# This is a script to be run before releasing a new version.
+# Authored by Oscar Esteban
+#
+# Usage /bin/bash update_changes.sh 1.0.1
+#
+# Copyright (c) 2015-2018, the CRN developers team.
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+# * Redistributions of source code must retain the above copyright notice, this
+#   list of conditions and the following disclaimer.
+#
+# * Redistributions in binary form must reproduce the above copyright notice,
+#   this list of conditions and the following disclaimer in the documentation
+#   and/or other materials provided with the distribution.
+#
+# * Neither the name of fmriprep nor the names of its
+#   contributors may be used to endorse or promote products derived from
+#   this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+# Setting      # $ help set
+# set -u         # Treat unset variables as an error when substituting.
+set -x         # Print command traces before executing command.
+
+# Check whether the Upcoming release header is present
+head -1 CHANGES.rst | grep -q Upcoming
+UPCOMING=$?
+if [[ "$UPCOMING" == "0" ]]; then
+    head -n3  CHANGES.rst >> newchanges
+fi
+
+# Elaborate today's release header
+HEADER="$1 ($(date '+%B %d, %Y'))"
+echo $HEADER >> newchanges
+echo $( printf "%${#HEADER}s" | tr " " "=" ) >> newchanges
+echo "" >> newchanges
+
+# Search for PRs since previous release
+git log --grep="Merge pull request" `git describe --tags --abbrev=0`..HEAD --pretty='format:  * %b %s' | sed  's/Merge pull request \#\([^\d]*\)\ from\ .*/(\#\1)/' >> newchanges
+echo "" >> newchanges
+echo "" >> newchanges
+
+# Add back the Upcoming header if it was present
+if [[ "$UPCOMING" == "0" ]]; then
+    tail -n+4 CHANGES.rst >> newchanges
+else
+    cat CHANGES.rst >> newchanges
+fi
+
+# Replace old CHANGES.rst with new file
+mv newchanges CHANGES.rst

From 03a51487681b3b7a30c763c665942c4f0afe9d00 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 13 Aug 2019 17:00:09 -0400
Subject: [PATCH 107/156] calculate RD

---
 dmriprep/workflows/dwi/tensor.py | 32 +++++++++++++++++---------------
 1 file changed, 17 insertions(+), 15 deletions(-)

diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
index b2520938..6223da86 100644
--- a/dmriprep/workflows/dwi/tensor.py
+++ b/dmriprep/workflows/dwi/tensor.py
@@ -16,19 +16,18 @@ def init_tensor_wf():
     )
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=[
-            "FA_file",
-            "L1_file",
-            "L2_file",
-            "L3_file",
-            "MD_file",
-            "sse_file",
-            "V1_file"]),
+        niu.IdentityInterface(
+            fields=["FA_file", "MD_file", "AD_file", "RD_file", "sse_file", "V1_file"]
+        ),
         name="outputnode",
     )
 
     dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name="dtifit")
 
+    add_l2_l3 = pe.Node(fsl.BinaryMaths(operation="add"), name="add_l2_l3")
+
+    calc_rd = pe.Node(fsl.BinaryMaths(operand_value=2, operation="div"), name="calc_rd")
+
     wf.connect(
         [
             (
@@ -41,16 +40,19 @@ def init_tensor_wf():
                     ("mask_file", "mask"),
                 ],
             ),
+            (dtifit, add_l2_l3, [("L2", "in_file"), ("L3", "operand_file")]),
+            (add_l2_l3, calc_rd, [("out_file", "in_file")]),
+            (calc_rd, outputnode, [("out_file", "RD_file")]),
             (
                 dtifit,
                 outputnode,
-                [("FA", "FA_file"),
-                 ("L1", "L1_file"),
-                 ("L2", "L2_file"),
-                 ("L3", "L3_file"),
-                 ("MD", "MD_file"),
-                 ("sse", "sse_file"),
-                 ("V1", "V1_file")],
+                [
+                    ("FA", "FA_file"),
+                    ("MD", "MD_file"),
+                    ("L1", "AD_file"),
+                    ("sse", "sse_file"),
+                    ("V1", "V1_file"),
+                ],
             ),
         ]
     )

From 58d48aee318a6a786b1ce7a0b02cdc0330cc98e6 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 13 Aug 2019 17:00:19 -0400
Subject: [PATCH 108/156] update year

---
 update_changes.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/update_changes.sh b/update_changes.sh
index f962b8da..1c2137d9 100644
--- a/update_changes.sh
+++ b/update_changes.sh
@@ -8,7 +8,7 @@
 #
 # Usage /bin/bash update_changes.sh 1.0.1
 #
-# Copyright (c) 2015-2018, the CRN developers team.
+# Copyright (c) 2015-2019, the CRN developers team.
 # All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without

From 45f78d49b50dcd74338e754b114987ba86bc5270 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 13 Aug 2019 17:00:53 -0400
Subject: [PATCH 109/156] update output_resolution option

---
 dmriprep/cli.py                    | 2 +-
 dmriprep/workflows/dwi/prep_dwi.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 3ebc0455..80a14aba 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -228,7 +228,7 @@ def main(
         work_dir=work_dir,
         ignore=list(ignore),
         b0_thresh=b0_thresh,
-        output_resolution=output_resolution,
+        output_resolution=(output_resolution, output_resolution, output_resolution),
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
         omp_nthreads=omp_nthreads,
diff --git a/dmriprep/workflows/dwi/prep_dwi.py b/dmriprep/workflows/dwi/prep_dwi.py
index 68330241..e8d2f14b 100644
--- a/dmriprep/workflows/dwi/prep_dwi.py
+++ b/dmriprep/workflows/dwi/prep_dwi.py
@@ -22,7 +22,7 @@ def init_prep_dwi_wf(ignore, output_resolution):
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
 
-    resample = pe.Node(mrtrix3.MRResize(voxel_size=[1, 1, 1]), name="resample")
+    resample = pe.Node(mrtrix3.MRResize(voxel_size=output_resolution), name="resample")
 
     prep_full = ["denoise", "unring", "resample"]
 

From cc00977b5a4fec19006e1ec46fea5ee3c367e5db Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 13 Aug 2019 17:01:27 -0400
Subject: [PATCH 110/156] style changes

---
 dmriprep/utils/bids.py            | 30 ++++++++++++------------------
 dmriprep/workflows/base.py        | 19 +++++++++++--------
 dmriprep/workflows/dwi/outputs.py | 26 ++++++++------------------
 3 files changed, 31 insertions(+), 44 deletions(-)

diff --git a/dmriprep/utils/bids.py b/dmriprep/utils/bids.py
index 0320b630..4eb9c78f 100644
--- a/dmriprep/utils/bids.py
+++ b/dmriprep/utils/bids.py
@@ -1,3 +1,8 @@
+"""
+Utilities to handle BIDS inputs
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+"""
+
 import warnings
 import json
 import sys
@@ -51,7 +56,7 @@ def collect_participants(
     ...     str(datadir / 'ds114'), participant_label=['02', '14'],
     ...     strict=True, bids_validate=False)  # doctest: +IGNORE_EXCEPTION_DETAIL
     Traceback (most recent call last):
-    fmriprep.utils.bids.BIDSError:
+    dmriprep.utils.bids.BIDSError:
     ...
     """
 
@@ -91,9 +96,7 @@ def collect_participants(
     found_label = sorted(set(participant_label) & all_participants)
     if not found_label:
         raise BIDSError(
-            "Could not find participants [{}]".format(
-                ", ".join(participant_label)
-            ),
+            "Could not find participants [{}]".format(", ".join(participant_label)),
             bids_dir,
         )
 
@@ -101,9 +104,7 @@ def collect_participants(
     notfound_label = sorted(set(participant_label) - all_participants)
     if notfound_label:
         exc = BIDSError(
-            "Some participants were not found: {}".format(
-                ", ".join(notfound_label)
-            ),
+            "Some participants were not found: {}".format(", ".join(notfound_label)),
             bids_dir,
         )
         if strict:
@@ -114,7 +115,7 @@ def collect_participants(
 
 
 def validate_input_dir(bids_dir, all_subjects, subject_list):
-    # Ignore issues and warnings that should not influence FMRIPREP
+    # Ignore issues and warnings that should not influence DMRIPREP
     import tempfile
     import subprocess
 
@@ -162,18 +163,11 @@ def validate_input_dir(bids_dir, all_subjects, subject_list):
     ignored_subjects = all_subjects.difference(subject_list)
     if ignored_subjects:
         for subject in ignored_subjects:
-            validator_config_dict["ignoredFiles"].append(
-                "/sub-%s/**" % subject
-            )
+            validator_config_dict["ignoredFiles"].append("/sub-%s/**" % subject)
     with tempfile.NamedTemporaryFile("w+") as temp:
         temp.write(json.dumps(validator_config_dict))
         temp.flush()
         try:
-            subprocess.check_call(
-                ["bids-validator", bids_dir, "-c", temp.name]
-            )
+            subprocess.check_call(["bids-validator", bids_dir, "-c", temp.name])
         except FileNotFoundError:
-            print(
-                "bids-validator does not appear to be installed",
-                file=sys.stderr,
-            )
+            print("bids-validator does not appear to be installed", file=sys.stderr)
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index c890504b..d21c1643 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -1,5 +1,14 @@
 #!/usr/bin/env python
 
+"""
+dMRIprep base processing workflows
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_dmriprep_wf
+.. autofunction:: init_single_subject_wf
+
+"""
+
 import os
 from copy import deepcopy
 
@@ -106,14 +115,8 @@ def init_single_subject_wf(subject_id, name, parameters):
                         ("outputnode.out_mask", "inputnode.mask"),
                         ("outputnode.out_b0_pre", "inputnode.b0"),
                         ("outputnode.out_b0_mask_pre", "inputnode.b0_mask"),
-                        (
-                            "outputnode.out_eddy_quad_json",
-                            "inputnode.eddy_quad_json",
-                        ),
-                        (
-                            "outputnode.out_eddy_quad_pdf",
-                            "inputnode.eddy_quad_pdf",
-                        ),
+                        ("outputnode.out_eddy_quad_json", "inputnode.eddy_quad_json"),
+                        ("outputnode.out_eddy_quad_pdf", "inputnode.eddy_quad_pdf"),
                         ("outputnode.out_dtifit_FA", "inputnode.dtifit_FA"),
                         ("outputnode.out_dtifit_V1", "inputnode.dtifit_V1"),
                         ("outputnode.out_dtifit_sse", "inputnode.dtifit_sse"),
diff --git a/dmriprep/workflows/dwi/outputs.py b/dmriprep/workflows/dwi/outputs.py
index 019c3410..baff655c 100644
--- a/dmriprep/workflows/dwi/outputs.py
+++ b/dmriprep/workflows/dwi/outputs.py
@@ -1,14 +1,12 @@
 # -*- coding: utf-8 -*-
 
-import os
-
 from nipype.pipeline import engine as pe
 from nipype.interfaces import io as nio, utility as niu
 
 
 def init_output_wf(subject_id, session_id, output_folder):
 
-    op_wf = pe.Workflow(name="output_wf")
+    output_wf = pe.Workflow(name="output_wf")
 
     inputnode = pe.Node(
         niu.IdentityInterface(
@@ -38,11 +36,7 @@ def build_path(output_folder, subject_id, session_id):
         import os
 
         return os.path.join(
-            output_folder,
-            "dmriprep",
-            "sub-" + subject_id,
-            "ses-" + session_id,
-            "dwi",
+            output_folder, "dmriprep", "sub-" + subject_id, "ses-" + session_id, "dwi"
         )
 
     concat = pe.Node(
@@ -56,7 +50,7 @@ def build_path(output_folder, subject_id, session_id):
 
     datasink = pe.Node(nio.DataSink(), name="datasink")
 
-    op_wf.connect(
+    output_wf.connect(
         [
             (
                 inputnode,
@@ -73,23 +67,19 @@ def build_path(output_folder, subject_id, session_id):
                 datasink,
                 [
                     ("dwi", "@result.@dwi"),
-                    ("bval", "@result.@bval"),
                     ("bvec", "@result.@bvec"),
-                    ("index", "@result.@index"),
-                    ("acq_params", "@result.@acq_params"),
+                    ("bval", "@result.@bval"),
                     ("mask", "@result.@mask"),
                     ("b0", "@result.@b0"),
-                    ("b0_mask", "@result.@b0_mask"),
-                    # ("out_fieldmap_brain", "@result.@fmapbrain"),
                     ("eddy_quad_json", "@result.@eddy_quad_json"),
                     ("eddy_quad_pdf", "@result.@eddy_quad_pdf"),
                     ("dtifit_FA", "@result.@fa"),
-                    ("dtifit_V1", "@result.@v1"),
-                    ("dtifit_sse", "@result.@sse"),
-                    ("noise", "@result.@noise"),
+                    ("dtifit_MD", "@result.@md"),
+                    ("dtifit_AD", "@result.@ad"),
+                    ("dtifit_RD", "@result.@rd"),
                 ],
             ),
         ]
     )
 
-    return op_wf
+    return output_wf

From 048efd1c611a17c2fd529ecf3a3ee4263ae97174 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 13 Aug 2019 17:15:17 -0400
Subject: [PATCH 111/156] revert deleted files

---
 dmriprep/__init__.py                          |  13 +-
 dmriprepViewer/.babelrc                       |  18 +
 dmriprepViewer/README.md                      |  30 +
 dmriprepViewer/config/dev.env.js              |   7 +
 dmriprepViewer/config/index.js                |  76 +++
 dmriprepViewer/config/prod.env.js             |   4 +
 dmriprepViewer/config/test.env.js             |   7 +
 dmriprepViewer/deploy.sh                      |  36 ++
 dmriprepViewer/index.html                     |  12 +
 dmriprepViewer/src/App.vue                    |  30 +
 dmriprepViewer/src/assets/logo.svg            |   1 +
 dmriprepViewer/src/components/BrainSprite.vue |  75 +++
 dmriprepViewer/src/components/Bucket.vue      | 195 ++++++
 dmriprepViewer/src/components/GroupStats.vue  |  96 +++
 dmriprepViewer/src/components/HelloWorld.vue  | 114 ++++
 dmriprepViewer/src/components/LineChart.vue   | 191 ++++++
 dmriprepViewer/src/components/Report.vue      | 162 +++++
 dmriprepViewer/src/components/Sprite4D.vue    |  63 ++
 dmriprepViewer/src/components/brainsprite.js  | 587 ++++++++++++++++++
 dmriprepViewer/src/main.js                    |  15 +
 dmriprepViewer/src/router/index.js            |  27 +
 dmriprepViewer/static/.gitkeep                |   0
 .../e2e/custom-assertions/elementCount.js     |  27 +
 dmriprepViewer/test/e2e/nightwatch.conf.js    |  46 ++
 dmriprepViewer/test/e2e/runner.js             |  48 ++
 dmriprepViewer/test/e2e/specs/test.js         |  19 +
 dmriprepViewer/test/unit/.eslintrc            |   7 +
 dmriprepViewer/test/unit/jest.conf.js         |  30 +
 dmriprepViewer/test/unit/setup.js             |   3 +
 .../test/unit/specs/HelloWorld.spec.js        |  11 +
 30 files changed, 1943 insertions(+), 7 deletions(-)
 create mode 100644 dmriprepViewer/.babelrc
 create mode 100644 dmriprepViewer/README.md
 create mode 100644 dmriprepViewer/config/dev.env.js
 create mode 100644 dmriprepViewer/config/index.js
 create mode 100644 dmriprepViewer/config/prod.env.js
 create mode 100644 dmriprepViewer/config/test.env.js
 create mode 100644 dmriprepViewer/deploy.sh
 create mode 100644 dmriprepViewer/index.html
 create mode 100644 dmriprepViewer/src/App.vue
 create mode 100644 dmriprepViewer/src/assets/logo.svg
 create mode 100644 dmriprepViewer/src/components/BrainSprite.vue
 create mode 100644 dmriprepViewer/src/components/Bucket.vue
 create mode 100644 dmriprepViewer/src/components/GroupStats.vue
 create mode 100644 dmriprepViewer/src/components/HelloWorld.vue
 create mode 100644 dmriprepViewer/src/components/LineChart.vue
 create mode 100644 dmriprepViewer/src/components/Report.vue
 create mode 100644 dmriprepViewer/src/components/Sprite4D.vue
 create mode 100644 dmriprepViewer/src/components/brainsprite.js
 create mode 100644 dmriprepViewer/src/main.js
 create mode 100644 dmriprepViewer/src/router/index.js
 create mode 100644 dmriprepViewer/static/.gitkeep
 create mode 100644 dmriprepViewer/test/e2e/custom-assertions/elementCount.js
 create mode 100644 dmriprepViewer/test/e2e/nightwatch.conf.js
 create mode 100644 dmriprepViewer/test/e2e/runner.js
 create mode 100644 dmriprepViewer/test/e2e/specs/test.js
 create mode 100644 dmriprepViewer/test/unit/.eslintrc
 create mode 100644 dmriprepViewer/test/unit/jest.conf.js
 create mode 100644 dmriprepViewer/test/unit/setup.js
 create mode 100644 dmriprepViewer/test/unit/specs/HelloWorld.spec.js

diff --git a/dmriprep/__init__.py b/dmriprep/__init__.py
index 100d44ff..6f7e1e9d 100644
--- a/dmriprep/__init__.py
+++ b/dmriprep/__init__.py
@@ -2,8 +2,8 @@
 
 """Top-level package for dmriprep."""
 
-__author__ = """Michael Joseph"""
-__email__ = "michael.joseph@camh.ca"
+__author__ = """Anisha Keshavan"""
+__email__ = "anishakeshavan@fmail.com"
 __version__ = "0.1.0"
 
 import errno
@@ -22,7 +22,7 @@
 
 # get the log level from environment variable
 if "DMIRPREP_LOGLEVEL" in os.environ:
-    loglevel = os.environ["dmriprep_LOGLEVEL"]
+    loglevel = os.environ["DMRIPREP_LOGLEVEL"]
     module_logger.setLevel(getattr(logging, loglevel.upper()))
 else:
     module_logger.setLevel(logging.WARNING)
@@ -45,9 +45,7 @@
 handler.setLevel(logging.DEBUG)
 
 # create a logging format
-formatter = logging.Formatter(
-    "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-)
+formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
 handler.setFormatter(formatter)
 
 # add the handlers to the logger
@@ -55,5 +53,6 @@
 module_logger.info("Started new dmriprep session")
 
 from ._version import get_versions
-__version__ = get_versions()['version']
+
+__version__ = get_versions()["version"]
 del get_versions
diff --git a/dmriprepViewer/.babelrc b/dmriprepViewer/.babelrc
new file mode 100644
index 00000000..9390d164
--- /dev/null
+++ b/dmriprepViewer/.babelrc
@@ -0,0 +1,18 @@
+{
+  "presets": [
+    ["env", {
+      "modules": false,
+      "targets": {
+        "browsers": ["> 1%", "last 2 versions", "not ie <= 8"]
+      }
+    }],
+    "stage-2"
+  ],
+  "plugins": ["transform-vue-jsx", "transform-runtime"],
+  "env": {
+    "test": {
+      "presets": ["env", "stage-2"],
+      "plugins": ["transform-vue-jsx", "transform-es2015-modules-commonjs", "dynamic-import-node"]
+    }
+  }
+}
diff --git a/dmriprepViewer/README.md b/dmriprepViewer/README.md
new file mode 100644
index 00000000..c18e32fd
--- /dev/null
+++ b/dmriprepViewer/README.md
@@ -0,0 +1,30 @@
+# dmriprep-viewer
+
+> Viewer for dmriprep reports
+
+## Build Setup
+
+``` bash
+# install dependencies
+npm install
+
+# serve with hot reload at localhost:8080
+npm run dev
+
+# build for production with minification
+npm run build
+
+# build for production and view the bundle analyzer report
+npm run build --report
+
+# run unit tests
+npm run unit
+
+# run e2e tests
+npm run e2e
+
+# run all tests
+npm test
+```
+
+For a detailed explanation on how things work, check out the [guide](http://vuejs-templates.github.io/webpack/) and [docs for vue-loader](http://vuejs.github.io/vue-loader).
diff --git a/dmriprepViewer/config/dev.env.js b/dmriprepViewer/config/dev.env.js
new file mode 100644
index 00000000..1e22973a
--- /dev/null
+++ b/dmriprepViewer/config/dev.env.js
@@ -0,0 +1,7 @@
+'use strict'
+const merge = require('webpack-merge')
+const prodEnv = require('./prod.env')
+
+module.exports = merge(prodEnv, {
+  NODE_ENV: '"development"'
+})
diff --git a/dmriprepViewer/config/index.js b/dmriprepViewer/config/index.js
new file mode 100644
index 00000000..c65b7762
--- /dev/null
+++ b/dmriprepViewer/config/index.js
@@ -0,0 +1,76 @@
+'use strict'
+// Template version: 1.3.1
+// see http://vuejs-templates.github.io/webpack for documentation.
+
+const path = require('path')
+
+module.exports = {
+  dev: {
+
+    // Paths
+    assetsSubDirectory: 'static',
+    assetsPublicPath: '/',
+    proxyTable: {},
+
+    // Various Dev Server settings
+    host: 'localhost', // can be overwritten by process.env.HOST
+    port: 8080, // can be overwritten by process.env.PORT, if port is in use, a free one will be determined
+    autoOpenBrowser: false,
+    errorOverlay: true,
+    notifyOnErrors: true,
+    poll: false, // https://webpack.js.org/configuration/dev-server/#devserver-watchoptions-
+
+    // Use Eslint Loader?
+    // If true, your code will be linted during bundling and
+    // linting errors and warnings will be shown in the console.
+    useEslint: true,
+    // If true, eslint errors and warnings will also be shown in the error overlay
+    // in the browser.
+    showEslintErrorsInOverlay: false,
+
+    /**
+     * Source Maps
+     */
+
+    // https://webpack.js.org/configuration/devtool/#development
+    devtool: 'cheap-module-eval-source-map',
+
+    // If you have problems debugging vue-files in devtools,
+    // set this to false - it *may* help
+    // https://vue-loader.vuejs.org/en/options.html#cachebusting
+    cacheBusting: true,
+
+    cssSourceMap: true
+  },
+
+  build: {
+    // Template for index.html
+    index: path.resolve(__dirname, '../dist/index.html'),
+
+    // Paths
+    assetsRoot: path.resolve(__dirname, '../dist'),
+    assetsSubDirectory: 'static',
+    assetsPublicPath: '/dmriprep/',
+
+    /**
+     * Source Maps
+     */
+
+    productionSourceMap: true,
+    // https://webpack.js.org/configuration/devtool/#production
+    devtool: '#source-map',
+
+    // Gzip off by default as many popular static hosts such as
+    // Surge or Netlify already gzip all static assets for you.
+    // Before setting to `true`, make sure to:
+    // npm install --save-dev compression-webpack-plugin
+    productionGzip: false,
+    productionGzipExtensions: ['js', 'css'],
+
+    // Run the build command with an extra argument to
+    // View the bundle analyzer report after build finishes:
+    // `npm run build --report`
+    // Set to `true` or `false` to always turn it on or off
+    bundleAnalyzerReport: process.env.npm_config_report
+  }
+}
diff --git a/dmriprepViewer/config/prod.env.js b/dmriprepViewer/config/prod.env.js
new file mode 100644
index 00000000..a6f99761
--- /dev/null
+++ b/dmriprepViewer/config/prod.env.js
@@ -0,0 +1,4 @@
+'use strict'
+module.exports = {
+  NODE_ENV: '"production"'
+}
diff --git a/dmriprepViewer/config/test.env.js b/dmriprepViewer/config/test.env.js
new file mode 100644
index 00000000..c2824a30
--- /dev/null
+++ b/dmriprepViewer/config/test.env.js
@@ -0,0 +1,7 @@
+'use strict'
+const merge = require('webpack-merge')
+const devEnv = require('./dev.env')
+
+module.exports = merge(devEnv, {
+  NODE_ENV: '"testing"'
+})
diff --git a/dmriprepViewer/deploy.sh b/dmriprepViewer/deploy.sh
new file mode 100644
index 00000000..ae136ca1
--- /dev/null
+++ b/dmriprepViewer/deploy.sh
@@ -0,0 +1,36 @@
+#!/bin/bash
+
+set -e # exit with nonzero exit code if anything fails
+
+if [[ $TRAVIS_BRANCH == "master" && $TRAVIS_PULL_REQUEST == "false" ]]; then
+
+echo "Starting to update gh-pages\n"
+
+#copy data we're interested in to other place
+cp -R dist $HOME/dist
+
+#go to home and setup git
+cd $HOME
+git config --global user.email "travis@travis-ci.org"
+git config --global user.name "Travis"
+
+#using token clone gh-pages branch
+git clone --quiet --branch=gh-pages https://${GH_TOKEN}@github.com/${GH_USER}/${GH_REPO}.git gh-pages > /dev/null
+
+#go into directory and copy data we're interested in to that directory
+cd gh-pages
+cp -Rf $HOME/dist/* .
+
+echo "Allow files with underscore https://help.github.com/articles/files-that-start-with-an-underscore-are-missing/" > .nojekyll
+echo "[View live](https://${GH_USER}.github.io/${GH_REPO}/)" > README.md
+
+#add, commit and push files
+git add -f .
+git commit -m "Travis build $TRAVIS_BUILD_NUMBER"
+git push -fq origin gh-pages > /dev/null
+
+echo "Done updating gh-pages\n"
+
+else
+ echo "Skipped updating gh-pages, because build is not triggered from the master branch."
+fi;
diff --git a/dmriprepViewer/index.html b/dmriprepViewer/index.html
new file mode 100644
index 00000000..c2581b52
--- /dev/null
+++ b/dmriprepViewer/index.html
@@ -0,0 +1,12 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="utf-8">
+    <meta name="viewport" content="width=device-width,initial-scale=1.0">
+    <title>dmriprep-viewer</title>
+  </head>
+  <body>
+    <div id="app"></div>
+    <!-- built files will be auto injected -->
+  </body>
+</html>
diff --git a/dmriprepViewer/src/App.vue b/dmriprepViewer/src/App.vue
new file mode 100644
index 00000000..1d0185f2
--- /dev/null
+++ b/dmriprepViewer/src/App.vue
@@ -0,0 +1,30 @@
+<template>
+  <div id="app">
+    <router-view/>
+  </div>
+</template>
+
+<script>
+import Vue from 'vue';
+import BootstrapVue from 'bootstrap-vue';
+// eslint-disable-next-line
+import 'bootstrap/dist/css/bootstrap.css';
+import 'bootstrap-vue/dist/bootstrap-vue.css';
+
+Vue.use(BootstrapVue);
+
+export default {
+  name: 'App',
+};
+</script>
+
+<style>
+#app {
+  font-family: 'Avenir', Helvetica, Arial, sans-serif;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  text-align: center;
+  color: #2c3e50;
+  margin-top: 60px;
+}
+</style>
diff --git a/dmriprepViewer/src/assets/logo.svg b/dmriprepViewer/src/assets/logo.svg
new file mode 100644
index 00000000..16528882
--- /dev/null
+++ b/dmriprepViewer/src/assets/logo.svg
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/dmriprepViewer/src/components/BrainSprite.vue b/dmriprepViewer/src/components/BrainSprite.vue
new file mode 100644
index 00000000..15384a24
--- /dev/null
+++ b/dmriprepViewer/src/components/BrainSprite.vue
@@ -0,0 +1,75 @@
+<template>
+  <div class="brainsprite">
+        <div v-if="!done">Hold on...</div>
+        <canvas :id="id"></canvas>
+        <img :id="id+'_spriteImg'"
+         class="hidden"
+         :src="'data:image/png;base64,' + base"
+         v-if="showOrig"
+        />
+        <img :id="id+'_overlayImg'"
+         class="hidden"
+         v-if="overlay && showOrig"
+         :src="'data:image/png;base64,' + overlay"
+        />
+  </div>
+</template>
+
+<style scoped>
+  .hidden {
+    visibility: hidden;
+    /* display: none; */
+  }
+  canvas {
+    width: 100%;
+  }
+  img {
+    /* width: 10px;
+    height: 10px; */
+  }
+</style>
+
+<script>
+import brainsprite from './brainsprite';
+
+export default {
+  name: 'brainsprite',
+  props: ['base', 'overlay', 'id',
+    'base_dim_x', 'base_dim_y',
+    'overlay_dim_x', 'overlay_dim_y'],
+  data() {
+    return {
+      brain: null,
+      showOrig: true,
+      done: false,
+      ready: false,
+    };
+  },
+  methods: {
+    initBrainSprite() {
+      /* eslint-disable-next-line */
+      const brain = new brainsprite({
+        canvas: this.id,
+        sprite: `${this.id}_spriteImg`,
+        nbSlice: { Y: this.base_dim_x, Z: this.base_dim_y },
+        overlay: {
+          sprite: `${this.id}_overlayImg`,
+          nbSlice: { Y: this.overlay_dim_x, Z: this.overlay_dim_y },
+          opacity: 0.5,
+        },
+      });
+      this.brain = brain;
+      this.showOrig = false;
+      this.done = true;
+    },
+  },
+  mounted() {
+    this.$nextTick(() => {
+      setTimeout(() => {
+        this.ready = true;
+        this.initBrainSprite();
+      }, 100);
+    });
+  },
+};
+</script>
diff --git a/dmriprepViewer/src/components/Bucket.vue b/dmriprepViewer/src/components/Bucket.vue
new file mode 100644
index 00000000..4d3e65b5
--- /dev/null
+++ b/dmriprepViewer/src/components/Bucket.vue
@@ -0,0 +1,195 @@
+<template>
+  <div class="bucket">
+    <div class="row">
+      <div class="col-md-3">
+        <div class="container">
+        <h3>{{bucket}} ({{manifestEntries.length}})</h3>
+          <div class="mb-3">
+            <b-button v-if="!statsReady" @click="getAllReports">
+              Compute Statistics
+            </b-button>
+          </div>
+          <b-nav vertical pills class="w-100">
+            <!-- <b-nav-item active>Active</b-nav-item> -->
+            <b-nav-item v-for="(subject, index) in manifestEntries"
+             :key="subject" :active="index === currentReportIdx"
+             @click="currentReportIdx = index">
+              {{subject.split('/')[0]}}
+            </b-nav-item>
+          </b-nav>
+        </div>
+      </div>
+      <div class="col-md-9">
+        <h1 v-if="manifestEntries.length">
+          {{manifestEntries[currentReportIdx].split('/')[0]}}
+        </h1>
+        <div v-if="statsReady">
+          <GroupStats :data="allReports" :individual="currentReport.eddy_quad"/>
+        </div>
+        <div v-if="ready">
+          <report
+            :reportProp="currentReport"
+          />
+        </div>
+        <div v-else>
+          loading...
+        </div>
+      </div>
+    </div>
+  </div>
+</template>
+
+<script>
+import axios from 'axios';
+import _ from 'lodash';
+import Report from './Report';
+import GroupStats from './GroupStats';
+
+export default {
+  name: 'bucket',
+  data() {
+    return {
+      manifestEntries: [],
+      currentReportIdx: 0,
+      currentReport: {},
+      ready: false,
+      allReports: [],
+      statsReady: false,
+    };
+  },
+  components: {
+    Report,
+    GroupStats,
+  },
+  methods: {
+    getReport(r) {
+      return axios.get(`https://s3-us-west-2.amazonaws.com/${this.bucket}/${r}`);
+    },
+    /**
+    *
+    */
+    async getAllReports() {
+      this.statsReady = false;
+      const reports = await _.map(this.manifestEntries, m => this.getReport(m));
+      _.map(reports, (r) => {
+        r.then((resp) => {
+          if (resp.data.eddy_quad) {
+            this.allReports.push(resp.data.eddy_quad);
+          }
+        });
+      });
+      this.statsReady = true;
+    },
+    /**
+    * XML parser for pubmed query returns.
+    */
+    xmlParser(input) {
+      const parser = new DOMParser();
+      const xmlDoc = parser.parseFromString(input, 'text/xml');
+      return xmlDoc;
+    },
+    /**
+    *
+    */
+    parseS3(data) {
+      const xml = this.xmlParser(data);
+      const keys = xml.getElementsByTagName('Key');
+      const continuation = xml.getElementsByTagName('NextContinuationToken');
+      const isTruncated = xml.getElementsByTagName('IsTruncated')[0].innerHTML;
+      if (isTruncated === 'true') {
+        this.continuation = encodeURIComponent(continuation[0].innerHTML);
+      } else {
+        this.continuation = null;
+      }
+      const allKeys = _.map(keys, k => k.innerHTML);
+      const reportsFiltered = _.filter(allKeys, k => k.endsWith('_report.json'));// _.map(allKeys, k => k.split('/')[0]);
+      const keysFixed = _.uniq(reportsFiltered);
+      return keysFixed;
+    },
+    /**
+    * if there is a continuation token..
+    */
+    S3Continuation(token) {
+      let url = `https://s3-us-west-2.amazonaws.com/${this.bucket}/?list-type=2&`;
+      // url += `prefix=${this.config.manifestS3.prefix}/&max-keys=100000`;
+      url += '&max-keys=100000';
+      // url += `&delimiter=${this.config.manifestS3.delimiter}`;
+      url += `&continuation-token=${token}`;
+      if (!token) {
+        return 0;
+      }
+      return axios.get(url).then((resp) => {
+        const keysFixed2 = this.parseS3(resp.data);
+        this.manifestEntries = _.uniq(this.manifestEntries.concat(keysFixed2));
+        if (this.continuation) {
+          this.S3Continuation(this.continuation);
+        }
+      });
+    },
+    /**
+    * get a list of files that are in a bucket of an S3
+    * with a prefix and a delimiter (usually, a .)
+    * TODO: make the keys firebase safe!!
+    */
+    getS3Manifest() {
+      let url = `https://s3-us-west-2.amazonaws.com/${this.bucket}/?list-type=2&`;
+      url += '&max-keys=100000';
+      // url += `prefix=${this.config.manifestS3.prefix}
+      // /&max-keys=${this.config.manifestS3.max_keys}`;
+      // url += `&delimiter=${this.config.manifestS3.delimiter}`;
+      // console.log(url);
+      return axios.get(url).then((resp) => {
+        const keysFixed = this.parseS3(resp.data);
+        this.manifestEntries = _.uniq(this.manifestEntries.concat(keysFixed));
+        if (this.continuation) {
+          this.S3Continuation(this.continuation);
+        }
+      });
+    },
+    updateReport() {
+      this.ready = false;
+      const reportUrl = `https://s3-us-west-2.amazonaws.com/${this.bucket}/${this.manifestEntries[this.currentReportIdx]}`;
+      return axios.get(reportUrl)
+        .then((resp) => {
+          this.currentReport = resp.data;
+          this.ready = true;
+          this.$router.replace({ name: 'Bucket',
+            params: { bucket: this.bucket },
+            query: { report: reportUrl } });
+        });
+    },
+  },
+  computed: {
+    bucket() {
+      return this.$route.params.bucket;
+    },
+  },
+  watch: {
+    bucket() {
+      this.getS3Manifest();
+    },
+    currentReportIdx() {
+      this.updateReport();
+    },
+  },
+  mounted() {
+    let path = null;
+    if (this.$route.query) {
+      if (this.$route.query.report) {
+        path = this.$route.query.report.split(`https://s3-us-west-2.amazonaws.com/${this.bucket}/`)[1];
+      }
+    }
+
+    this.getS3Manifest().then(this.updateReport).then(() => {
+      if (path) {
+        this.currentReportIdx = this.manifestEntries.indexOf(path);
+      }
+      this.getAllReports();
+    });
+  },
+};
+</script>
+
+<style>
+
+</style>
diff --git a/dmriprepViewer/src/components/GroupStats.vue b/dmriprepViewer/src/components/GroupStats.vue
new file mode 100644
index 00000000..d17716d9
--- /dev/null
+++ b/dmriprepViewer/src/components/GroupStats.vue
@@ -0,0 +1,96 @@
+<template>
+  <div>
+    <div class="mb-3">
+      <p class="lead">
+        Comparison to Group Eddy_Quad Statistics
+      </p>
+      <p>Absolute Motion (Z = {{numberFormatter(individual_abs_mot_z)}})</p>
+      <b-progress class="w-50 mx-auto">
+        <b-progress-bar :value="scaleZ(individual_abs_mot_z)"
+         :variant="getColor(0, individual_abs_mot_z)">
+          z = {{numberFormatter(individual_abs_mot_z)}}
+        </b-progress-bar>
+      </b-progress>
+    </div>
+    <div class="mb-3">
+      <p>Relative Motion (Z = {{numberFormatter(individual_rel_mot_z)}})</p>
+      <b-progress class="w-50 mx-auto">
+        <b-progress-bar :value="scaleZ(individual_rel_mot_z)"
+         :variant="getColor(0, individual_rel_mot_z)">
+          z = {{numberFormatter(individual_rel_mot_z)}}
+        </b-progress-bar>
+      </b-progress>
+    </div>
+
+  </div>
+</template>
+
+<script>
+// import _ from 'lodash';
+const d3 = require('d3');
+
+export default {
+  name: 'GroupStats',
+  props: ['data', 'individual'],
+  data() {
+    return {
+
+    };
+  },
+  methods: {
+    scaleZ(val) {
+      const scaler = d3.scaleLinear().range([0, 100]).domain([-3, 3]);
+      return scaler(val);
+    },
+    numberFormatter(val) {
+      const formatter = d3.format('.3n');
+      return formatter(val);
+    },
+    getColor(direction, zScore) {
+      if (direction) {
+        // positive is good
+        if (zScore <= -1) {
+          return 'danger';
+        } else if (zScore >= 1) {
+          return 'success';
+        }
+      }
+      if (zScore <= -1) {
+        return 'success';
+      } else if (zScore >= 1) {
+        return 'danger';
+      }
+      return 'primary';
+    },
+  },
+  computed: {
+    mean_group_abs_mot() {
+      return d3.mean(this.data, d => d.qc_mot_abs);
+    },
+    std_group_abs_mot() {
+      return d3.deviation(this.data, d => d.qc_mot_abs);
+    },
+    individual_abs_mot_z() {
+      if (this.individual) {
+        return (this.individual.qc_mot_abs - this.mean_group_abs_mot) / this.std_group_abs_mot;
+      }
+      return null;
+    },
+    mean_group_rel_mot() {
+      return d3.mean(this.data, d => d.qc_mot_rel);
+    },
+    std_group_rel_mot() {
+      return d3.deviation(this.data, d => d.qc_mot_rel);
+    },
+    individual_rel_mot_z() {
+      if (this.individual) {
+        return (this.individual.qc_mot_rel - this.mean_group_rel_mot) / this.std_group_rel_mot;
+      }
+      return null;
+    },
+  },
+};
+</script>
+
+<style>
+</style>
diff --git a/dmriprepViewer/src/components/HelloWorld.vue b/dmriprepViewer/src/components/HelloWorld.vue
new file mode 100644
index 00000000..e225ba2d
--- /dev/null
+++ b/dmriprepViewer/src/components/HelloWorld.vue
@@ -0,0 +1,114 @@
+<template>
+  <b-container>
+      <img class="logo" src="../assets/logo.svg" />
+      <h1>dmriprep Viewer</h1>
+      <p class="lead">Upload your report.json file from dmriprep</p>
+      <b-form-file class="mt-3" v-model="file"
+       :state="Boolean(file)" placeholder="Choose a file...">
+     </b-form-file>
+
+     <p class="lead mt-3">OR copy/paste a URL</p>
+     <b-input-group size="md" class="mb-3" prepend="URL">
+        <b-form-input v-model="url" />
+        <b-input-group-append>
+          <b-btn size="md" text="Button"
+           variant="primary"
+           @click="navigate">Go</b-btn>
+        </b-input-group-append>
+      </b-input-group>
+
+      <p class="lead mt-3">OR point to an S3 bucket</p>
+      <b-input-group size="md" class="mb-3" prepend="Bucket">
+         <b-form-input v-model="bucket" />
+         <b-input-group-append>
+           <b-btn size="md" text="Button"
+            variant="primary"
+            @click="s3">Go</b-btn>
+         </b-input-group-append>
+       </b-input-group>
+
+      <report v-if="report.b0" :reportProp="report"></report>
+  </b-container>
+</template>
+
+<script>
+import vueSlider from 'vue-slider-component';
+import sprite4d from './Sprite4D';
+import lineChart from './LineChart';
+import report from './Report';
+
+
+export default {
+  name: 'HelloWorld',
+  components: {
+    sprite4d,
+    vueSlider,
+    lineChart,
+    report,
+  },
+  data() {
+    return {
+      file: null,
+      msg: 'Welcome to Your Vue.js App',
+      report: {},
+      time: 0,
+      spriteSlice: 0,
+      url: null,
+      bucket: null,
+    };
+  },
+  methods: {
+    get_mid_slice() {
+      return Math.floor(this.report.b0.num_slices / 2);
+    },
+    navigate() {
+      this.$router.push({ path: '/report', query: { url: this.url } });
+    },
+    s3() {
+      this.$router.push({ path: `/bucket/${this.bucket}` });
+    },
+  },
+  watch: {
+    file() {
+      if (this.file) {
+        const reader = new FileReader();
+        const self = this;
+        reader.onload = function Load(e) {
+          const contents = e.target.result;
+          self.report = JSON.parse(contents);
+          // console.log(self.report);
+        };
+        reader.readAsText(this.file);
+      }
+    },
+    report() {
+      if (this.report.b0) {
+        this.spriteSlice = this.get_mid_slice();
+      }
+    },
+  },
+};
+</script>
+
+<!-- Add "scoped" attribute to limit CSS to this component only -->
+<style scoped>
+
+.logo {
+  max-width: 300px;
+}
+
+h1, h2 {
+  font-weight: normal;
+}
+ul {
+  list-style-type: none;
+  padding: 0;
+}
+li {
+  display: inline-block;
+  margin: 0 10px;
+}
+a {
+  color: #42b983;
+}
+</style>
diff --git a/dmriprepViewer/src/components/LineChart.vue b/dmriprepViewer/src/components/LineChart.vue
new file mode 100644
index 00000000..e335b6bd
--- /dev/null
+++ b/dmriprepViewer/src/components/LineChart.vue
@@ -0,0 +1,191 @@
+<template>
+  <svg ref="chart" :id="id" class="lineChart"></svg>
+</template>
+
+<script>
+const d3 = require('d3');
+
+window.d3 = d3;
+
+export default {
+  name: 'lineChart',
+  data() {
+    return {
+      svg: null,
+      g: null,
+      x: null,
+      y: null,
+      xDomain: [0, 1],
+      yDomain: [0, 1],
+      margin: { top: 20, right: 20, bottom: 30, left: 50 },
+      lines: [],
+    };
+  },
+  computed: {
+    width() {
+      return this.$refs.chart.clientWidth - this.margin.left - this.margin.right;
+    },
+    height() {
+      return this.$refs.chart.clientHeight - this.margin.top - this.margin.bottom;
+    },
+  },
+  watch: {
+    highlightIdx() {
+      // console.log('watching', this.highlightIdx)
+      this.updateHighlightPoints();
+    },
+  },
+  methods: {
+    initAx() {
+      // console.log(this.$refs.chart.clientWidth);
+      const svg = d3.select(`#${this.id}`);
+
+      // const width = this.$refs.chart.clientWidth - margin.left - margin.right
+      // const height = this.$refs.chart.clientHeight - margin.top - margin.bottom
+      const g = svg.append('g').attr('transform', `translate(${this.margin.left}, ${this.margin.top})`);
+      const y = d3.scaleLinear()
+        .range([this.height, 0]);
+      const x = d3.scaleLinear()
+        .range([0, this.width]);
+
+      this.svg = svg;
+      this.g = g;
+      this.x = x;
+      this.y = y;
+
+      this.initXaxis();
+      this.initYaxis();
+      this.initHighlightPoints();
+    },
+    initXaxis() {
+      this.g.append('g')
+        .attr('class', 'x axis')
+        .attr('transform', `translate(0, ${this.height})`)
+        .call(d3.axisBottom(this.x));
+      // this.updateXaxis();
+    },
+    updateXaxis() {
+      this.x.range([0, this.width]).domain(this.xDomain);
+      d3.select(`#${this.id} .x.axis`).call(d3.axisBottom(this.x));
+    },
+    initYaxis() {
+      this.g.append('g')
+        .attr('class', 'y axis')
+        .call(d3.axisLeft(this.y))
+        .append('text')
+        .attr('fill', '#000')
+        .attr('transform', 'rotate(-90)')
+        .attr('y', 6)
+        .attr('dy', '0.71em')
+        .attr('text-anchor', 'end')
+        .text(this.ylabel);
+      // this.updateYaxis();
+    },
+    updateYaxis() {
+      this.y.range([this.height, 0]).domain(this.yDomain);
+      d3.select(`#${this.id} .y.axis`).call(d3.axisLeft(this.y));
+    },
+    initHighlightPoints() {
+      this.g.append('circle').attr('class', 'dot-series-1');
+      this.g.append('circle').attr('class', 'dot-series-2');
+    },
+    updateHighlightPoints() {
+      const self = this;
+      d3.select(`#${this.id} .dot-series-1`)
+        .attr('r', 7)
+        .attr('cx', () => self.x(self.highlightIdx))
+        .attr('cy', () => self.y(self.data[self.highlightIdx][0]))
+        .attr('fill', 'steelblue');
+
+      d3.select(`#${this.id} .dot-series-2`)
+        .attr('r', 7)
+        .attr('cx', () => self.x(self.highlightIdx))
+        .attr('cy', () => self.y(self.data[self.highlightIdx][1]))
+        .attr('fill', 'red');
+    },
+    plotData() {
+      const self = this;
+
+      /* eslint-disable */
+      const minX = d3.min(this.data, function g(d, i) { return i; });
+      const maxX = d3.max(this.data, function g(d, i) { return i; });
+
+      const maxY = d3.max(this.data, function g(d, i) { return d3.max(d); });
+      const minY = d3.min(this.data, function g(d, i) { return d3.min(d); });
+      /* eslint-enable */
+
+      this.xDomain = [minX, maxX];
+      this.yDomain = [minY, maxY];
+
+      this.updateXaxis();
+      this.updateYaxis();
+
+      /* eslint-disable */
+      const line1 = d3.line()
+             .x(function f(d, i) { return self.x(i); })
+             .y(function f(d, i) { return self.y(d[0]); });
+
+      const line2 = d3.line()
+             .x(function f(d, i) { return self.x(i); })
+             .y(function f(d, i) { return self.y(d[1]); });
+      /* eslint-enable */
+
+      this.lines = [line1, line2];
+
+
+      this.g.append('path')
+        .attr('class', 'series-1')
+        .datum(this.data)
+        .attr('fill', 'none')
+        .attr('stroke', 'steelblue')
+        .attr('stroke-linejoin', 'round')
+        .attr('stroke-linecap', 'round')
+        .attr('stroke-width', 1.5)
+        .attr('d', line1);
+
+      this.g.append('path')
+        .attr('class', 'series-2')
+        .datum(this.data)
+        .attr('fill', 'none')
+        .attr('stroke', 'red')
+        .attr('stroke-linejoin', 'round')
+        .attr('stroke-linecap', 'round')
+        .attr('stroke-width', 1.5)
+        .attr('d', line2);
+
+      this.g.selectAll('.outlier')
+        .data(this.outlier_indices)
+        .enter()
+        .append('rect')
+        .attr('class', 'outlier')
+        .attr('x', i => self.x(i) - 1.5)
+        .attr('y', () => self.y(maxY))
+        .attr('width', '3px')
+        .attr('height', () => `${self.height}px`)
+        .attr('fill', 'black');
+
+
+      this.svg.on('mousemove', () => {
+        // const x0 = self.x.invert(d3.mouse(this)[0]);
+        // const bisect = d3.bisector(function(d){return d[0]}).left;
+        // window.bisect = bisect;
+        // console.log(x0, self.x(0));
+      });
+    },
+
+
+  },
+  mounted() {
+    this.initAx();
+    this.plotData();
+  },
+  props: ['ylabel', 'xlabel', 'data', 'id', 'highlightIdx', 'outlier_indices'],
+};
+</script>
+
+<style>
+  .lineChart {
+    width: 100%;
+    height: 100%;
+  }
+</style>
diff --git a/dmriprepViewer/src/components/Report.vue b/dmriprepViewer/src/components/Report.vue
new file mode 100644
index 00000000..a1c333d3
--- /dev/null
+++ b/dmriprepViewer/src/components/Report.vue
@@ -0,0 +1,162 @@
+<template>
+  <div class="mt-3 container">
+    <div v-if="report">
+      <h2 class="mt-3 pt-3">Corrected dwi</h2>
+      <p class="lead">Result of eddy</p>
+
+      <sprite4d v-for="view in report.dwi_corrected"
+                :key="view.orientation"
+                :M="view.M"
+                :N="view.N"
+                :img="view.img"
+                :num_slices="view.num_slices"
+                :pix="view.pix"
+                :id="view.orientation"
+                :time="time"
+                :overlayMode="false"
+                opacity="1"
+      >
+      </sprite4d>
+      <vue-slider ref="timeSlider" v-model="time"
+       :min="0" :max="report.dwi_corrected[0].num_slices-1">
+     </vue-slider>
+      <h2 class="mt-3 pt-3">Eddy Report</h2>
+      <p class="lead"> <b-btn v-b-toggle.collapse1 variant="primary">
+        Outliers ({{report.eddy_report.length}})</b-btn> </p>
+        <b-collapse id="collapse1" class="mt-2">
+          <b-card>
+
+            <p v-for="e in report.eddy_report" :key="e">{{e}}</p>
+
+          </b-card>
+        </b-collapse>
+
+        <div style="height: 200px; width: 100%; display: inline-flex;">
+          <line-chart id="motion_params"
+           :data="report.eddy_params"
+           :outlier_indices="report.outlier_volumes"
+           xlabel="TR"
+           ylabel="RMS"
+           :highlightIdx="time"
+          >
+          </line-chart>
+        </div>
+
+      <h2 class="mt-3 pt-3">Registration + Brain Mask</h2>
+      <p class="lead">Brain mask computed on T1w, and mapped to B0</p>
+
+      <BrainSprite
+        id="brainMaskSprite"
+        ref="brainMaskSprite"
+        :base_dim_x="report.b0.pix"
+        :base_dim_y="report.b0.pix"
+        :overlay_dim_x="report.anat_mask.pix"
+        :overlay_dim_y="report.anat_mask.pix"
+        :base="report.b0.img"
+        :overlay="report.anat_mask.img"
+      />
+
+      <h2 class="mt-3 pt-3">DTI: ColorFA</h2>
+      <p class="lead">Color FA mapped on B0</p>
+
+      <BrainSprite
+        id="colorFASprite"
+        ref="colorFASprite"
+        :base_dim_x="report.b0.pix"
+        :base_dim_y="report.b0.pix"
+        :overlay_dim_x="report.colorFA.pix"
+        :overlay_dim_y="report.colorFA.pix"
+        :base="report.b0.img"
+        :overlay="report.colorFA.img"
+      />
+
+    </div>
+  </div>
+</template>
+
+<script>
+import axios from 'axios';
+import vueSlider from 'vue-slider-component';
+import sprite4d from './Sprite4D';
+import lineChart from './LineChart';
+import BrainSprite from './BrainSprite.vue';
+
+export default {
+  name: 'report',
+  components: {
+    sprite4d,
+    vueSlider,
+    lineChart,
+    BrainSprite,
+  },
+  data() {
+    return {
+      time: 0,
+      spriteSlice: 0,
+      report: null,
+    };
+  },
+  methods: {
+    get_mid_slice() {
+      return Math.floor(this.report.b0.num_slices / 2);
+    },
+  },
+  created() {
+    // console.log('in created', this.$route.query);
+    if (this.$route.query) {
+      // load the json
+      if (!this.$route.query.url && this.$route.name === 'Report') {
+        this.$router.push('/');
+      } else if (this.$route.query.url) {
+        axios.get(this.$route.query.url).then((resp) => {
+          this.report = resp.data;
+        });
+      }
+    }
+  },
+  mounted() {
+    if (this.reportProp) {
+      this.report = this.reportProp;
+    }
+    this.$nextTick(() => {
+      if (this.report) {
+        this.spriteSlice = this.get_mid_slice();
+        // this.$refs.brainMaskSprite.initBrainSprite();
+        // this.$refs.colorFASprite.initBrainSprite();
+      }
+    });
+  },
+  watch: {
+    reportProp() {
+      if (this.reportProp) {
+        this.report = this.reportProp;
+      }
+    },
+    report() {
+      if (this.report) {
+        this.spriteSlice = this.get_mid_slice();
+      }
+    },
+    $route() {
+      if (this.$route.query) {
+        // load the json
+        if (!this.$route.query.url && this.$route.name === 'Report') {
+          this.$router.push('/');
+        } else {
+          console.log('getting axios?', this.$route.query.url);
+          axios.get(this.$route.query.url).then((resp) => {
+            this.report = resp.data;
+          });
+        }
+      }
+    },
+  },
+  props: {
+    reportProp: Object,
+  },
+};
+</script>
+
+<style>
+
+</style>
diff --git a/dmriprepViewer/src/components/Sprite4D.vue b/dmriprepViewer/src/components/Sprite4D.vue
new file mode 100644
index 00000000..2180661d
--- /dev/null
+++ b/dmriprepViewer/src/components/Sprite4D.vue
@@ -0,0 +1,63 @@
+<template>
+  <span class="mt-3">
+    <div class="sprite" :id="id" :style="style">
+    </div>
+  </span>
+</template>
+
+<script>
+export default {
+  name: 'sprite4d',
+  computed: {
+    row_idx() {
+      return Math.floor(this.time / this.M);
+    },
+    col_idx() {
+      return this.time % this.M;
+    },
+    style() {
+      const output = {
+        width: `${this.pix}px`,
+        height: `${this.pix}px`,
+        zoom: 3,
+        'background-position-x': `-${this.col_idx * this.pix}px`,
+        'background-position-y': `-${this.row_idx * this.pix}px`,
+        'background-image': `url('data:image/png;base64,${this.img}')`,
+        display: 'inline-flex',
+        opacity: this.opacity,
+      };
+      if (this.overlayMode) {
+        output.position = 'absolute';
+        output.left = `calc(50% - ${this.pix / 2}px)`;
+      }
+
+      return output;
+    },
+  },
+  data() {
+    return {
+
+    };
+  },
+  methods: {
+
+  },
+  mounted() {
+
+  },
+  watch: {
+    time() {
+
+    },
+  },
+  props: [
+    'M', 'N', 'pix', 'num_slices', 'img', 'id', 'time', 'overlayMode', 'opacity',
+  ],
+};
+</script>
+
+<style>
+  .sprite {
+    background-position: "0px 0px"
+  }
+</style>
diff --git a/dmriprepViewer/src/components/brainsprite.js b/dmriprepViewer/src/components/brainsprite.js
new file mode 100644
index 00000000..e0281843
--- /dev/null
+++ b/dmriprepViewer/src/components/brainsprite.js
@@ -0,0 +1,587 @@
+/* eslint-disable */
+function brainsprite(params) {
+
+  // Function to add nearest neighbour interpolation to a canvas
+  function setNearestNeighbour(context,flag){
+    context.imageSmoothingEnabled = flag;
+    return context;
+  }
+
+  // Initialize the brain object
+  var brain = {};
+
+  // Initialize the brain object
+  var defaultParams = {
+     // Flag for "NaN" image values, i.e. unable to read values
+    nanValue: false,
+
+     // Smoothing of the main slices
+    smooth: false,
+
+     // Draw (or not) the current value
+     flagValue: false,
+
+     // Background color for the canvas
+    colorBackground: '#000000',
+
+    // Flag to turn on/off slice numbers
+    flagCoordinates: false,
+
+    // Origins and voxel size
+    origin: { X: 0, Y: 0, Z: 0 },
+    voxelSize: 1,
+
+    // Affine transformation
+    affine: false,
+
+    // Colorbar size parameters
+    heightColorBar: 0.04,
+
+    // Font parameters
+    sizeFont: 0.075,
+    colorFont: '#FFFFFF',
+
+    // Number of decimals displayed
+    nbDecimals: 3,
+
+    // Flag to turn on/off the crosshair
+    crosshair: false,
+
+    // Color of the crosshair
+    colorCrosshair: "#0000FF",
+
+    // Size crosshair - percentage of the field of view
+    sizeCrosshair: 0.9,
+
+    // Optional title for the viewer
+    title: false,
+
+    // Coordinates for the initial cut
+    numSlice: false,
+  }
+
+  var brain = Object.assign({}, defaultParams, params);
+
+  // Build affine, if not specified
+  if (typeof brain.affine === 'boolean' && brain.affine === false) {
+    brain.affine = [[brain.voxelSize , 0 , 0 , -brain.origin.X],
+                    [0 , brain.voxelSize , 0 , -brain.origin.Y],
+                    [0 , 0 , brain.voxelSize , -brain.origin.Z],
+                    [0 , 0 , 0               , 1]]
+
+  }
+
+  // The main canvas, where the three slices are drawn
+  brain.canvas = document.getElementById(params.canvas);
+  brain.context = brain.canvas.getContext('2d');
+  brain.context = setNearestNeighbour(brain.context,brain.smooth);
+
+  // An in-memory canvas to draw intermediate reconstruction
+  // of the coronal slice, at native resolution
+  brain.canvasY = document.createElement('canvas');
+  brain.contextY = brain.canvasY.getContext('2d');
+
+  // An in-memory canvas to draw intermediate reconstruction
+  // of the axial slice, at native resolution
+  brain.canvasZ = document.createElement('canvas');
+  brain.contextZ = brain.canvasZ.getContext('2d');
+
+  // An in-memory canvas to read the value of pixels
+  brain.canvasRead = document.createElement('canvas');
+  brain.contextRead = brain.canvasRead.getContext('2d');
+  brain.canvasRead.width = 1;
+  brain.canvasRead.height = 1;
+
+  // Onclick events
+  brain.onclick = typeof params.onclick !== 'undefined' ? params.onclick : "";
+
+  // Font parameters
+  if (brain.flagCoordinates) {
+    brain.spaceFont = 0.1;
+  } else {
+    brain.spaceFont = 0;
+  };
+
+  //******************//
+  // The sprite image //
+  //******************//
+  brain.sprite = document.getElementById(params.sprite);
+
+  // Number of columns and rows in the sprite
+  brain.nbCol = brain.sprite.width/params.nbSlice.Y;
+  brain.nbRow = brain.sprite.height/params.nbSlice.Z;
+  // Number of slices
+
+  brain.nbSlice = {
+    X: typeof params.nbSlice.X !== 'undefined' ? params.nbSlice.X : brain.nbCol*brain.nbRow,
+    Y: params.nbSlice.Y,
+    Z: params.nbSlice.Z
+  };
+
+  // width and height for the canvas
+  brain.widthCanvas  = {'X':0 , 'Y':0 , 'Z':0 };
+  brain.heightCanvas = {'X':0 , 'Y':0 , 'Z':0 , 'max':0};
+
+  // the slice numbers
+  if (brain.numSlice == false) {
+    brain.numSlice = { X: Math.floor(brain.nbSlice.X/2),
+                       Y: Math.floor(brain.nbSlice.Y/2),
+                       Z: Math.floor(brain.nbSlice.Z/2)}
+  };
+
+  // Coordinates for current slices - these will get updated when drawing the slices
+  brain.coordinatesSlice = {'X': 0, 'Y': 0, 'Z': 0 };
+
+  //*************//
+  // The planes  //
+  //*************//
+  brain.planes = {};
+  // A master sagital canvas for the merge of background and overlay
+  brain.planes.canvasMaster = document.createElement('canvas');
+  brain.planes.contextMaster = brain.planes.canvasMaster.getContext('2d');
+
+  //*************//
+  // The overlay //
+  //*************//
+  params.overlay = typeof params.overlay !== 'undefined' ? params.overlay : false;
+  if (params.overlay) {
+      // Initialize the overlay
+      brain.overlay = {};
+      // Get the sprite
+      brain.overlay.sprite = document.getElementById(params.overlay.sprite);
+      // Ratio between the resolution of the foreground and background
+      // Number of columns and rows in the overlay
+      brain.overlay.nbCol = brain.overlay.sprite.width/params.overlay.nbSlice.Y;
+      brain.overlay.nbRow = brain.overlay.sprite.height/params.overlay.nbSlice.Z;
+      // Number of slices in the overlay
+      brain.overlay.nbSlice = {
+        X: typeof params.overlay.nbSlice.X !== 'undefined' ? params.overlay.nbSlice.X : brain.overlay.nbCol*brain.overlay.nbRow,
+        Y: params.overlay.nbSlice.Y,
+        Z: params.overlay.nbSlice.Z
+      };
+      // opacity
+      brain.overlay.opacity = typeof params.overlay.opacity !== 'undefined' ? params.overlay.opacity : 1;
+  };
+
+  //**************//
+  // The colormap //
+  //**************//
+  params.colorMap = typeof params.colorMap !== 'undefined' ? params.colorMap: false;
+  if (params.colorMap) {
+      // Initialize the color map
+      brain.colorMap = {};
+      // Get the sprite
+      brain.colorMap.img = document.getElementById(params.colorMap.img);
+      // Set min / max
+      brain.colorMap.min = params.colorMap.min;
+      brain.colorMap.max = params.colorMap.max;
+      // Set visibility
+      params.colorMap.hide = typeof params.colorMap.hide !== 'undefined' ? params.colorMap.hide: false;
+      // An in-memory canvas to store the colormap
+      brain.colorMap.canvas = document.createElement('canvas');
+      brain.colorMap.context = brain.colorMap.canvas.getContext('2d');
+      brain.colorMap.canvas.width  = brain.colorMap.img.width;
+      brain.colorMap.canvas.height = brain.colorMap.img.height;
+
+      // Copy the color map in an in-memory canvas
+      brain.colorMap.context.drawImage(brain.colorMap.img,
+                0,0,brain.colorMap.img.width, brain.colorMap.img.height,
+                0,0,brain.colorMap.img.width, brain.colorMap.img.height);
+  };
+
+  //*******************************************//
+  // Extract the value associated with a voxel //
+  //*******************************************//
+  brain.getValue = function(rgb,colorMap) {
+    if (!colorMap) {
+      return NaN;
+    }
+    var cv, dist, nbColor, ind, val, voxelValue;
+    nbColor = colorMap.canvas.width;
+    ind = NaN;
+    val = Infinity;
+    for (let xx=0; xx<nbColor; xx++) {
+      cv = colorMap.context.getImageData(xx,0,1,1).data;
+      dist = Math.pow(cv[0]-rgb[0],2)+Math.pow(cv[1]-rgb[1],2)+Math.pow(cv[2]-rgb[2],2);
+      if (dist<val) {
+        ind = xx;
+        val = dist;
+      }
+    }
+    voxelValue = (ind*(colorMap.max - colorMap.min)/(nbColor-1)) + colorMap.min;
+    return voxelValue;
+  };
+
+
+  //***************************************//
+  // Update voxel value                    //
+  //***************************************//
+  brain.updateValue = function() {
+    var pos={};
+    var test1=[];
+    var test2=[];
+    if (brain.overlay && !brain.nanValue) {
+      try {
+        pos.XW = Math.round((brain.numSlice.X) % brain.nbCol);
+        pos.XH = Math.round((brain.numSlice.X - pos.XW) / brain.nbCol);
+        brain.contextRead.fillStyle='#FFFFFF';
+        brain.contextRead.fillRect(0, 0, 1, 1);
+        brain.contextRead.drawImage(brain.overlay.sprite,
+                                    pos.XW*brain.nbSlice.Y+brain.numSlice.Y,
+                                    pos.XH*brain.nbSlice.Z+brain.nbSlice.Z-brain.numSlice.Z-1,
+                                    1, 1, 0, 0, 1, 1);
+        let rgb = brain.contextRead.getImageData(0,0,1,1).data;
+        test1 = ( (rgb[0] == 255) && (rgb[1]==255) && (rgb[2]==255));
+        brain.contextRead.fillStyle='#000000';
+        brain.contextRead.fillRect(0, 0, 1, 1);
+        brain.contextRead.drawImage(brain.overlay.sprite,
+                                    pos.XW*brain.nbSlice.Y+brain.numSlice.Y,
+                                    pos.XH*brain.nbSlice.Z+brain.nbSlice.Z-brain.numSlice.Z-1,
+                                    1, 1, 0, 0, 1, 1 );
+        rgb = brain.contextRead.getImageData(0,0,1,1).data;
+        test2 = ( (rgb[0] == 0) && (rgb[1]==0) && (rgb[2]==0));
+        if (test1&&test2){
+          brain.voxelValue = NaN
+        }
+        else {
+          brain.voxelValue = brain.getValue(rgb,brain.colorMap);
+        }
+      }
+      catch(err) {
+        console.warn(err.message);
+        rgb = 0;
+        brain.nanValue = true;
+        brain.voxelValue = NaN;
+      }
+    } else {
+      brain.voxelValue = NaN;
+    };
+  };
+
+
+  //***************************************//
+  // Multiply two matrices                 //
+  //***************************************//
+  // Snippet copied from https://stackoverflow.com/questions/27205018/multiply-2-matrices-in-javascript
+  brain.multiply = function (a, b) {
+    var aNumRows = a.length, aNumCols = a[0].length,
+        bNumRows = b.length, bNumCols = b[0].length,
+        m = new Array(aNumRows);  // initialize array of rows
+    for (var r = 0; r < aNumRows; ++r) {
+      m[r] = new Array(bNumCols); // initialize the current row
+      for (var c = 0; c < bNumCols; ++c) {
+        m[r][c] = 0;             // initialize the current cell
+        for (var i = 0; i < aNumCols; ++i) {
+          m[r][c] += a[r][i] * b[i][c];
+        }
+      }
+    }
+    return m;
+  }
+
+
+  //***************************************//
+  // Update slice coordinates              //
+  //***************************************//
+  brain.updateCoordinates = function() {
+    const coordVoxel = brain.multiply(brain.affine,
+                  [ [brain.numSlice.X+1] ,
+                    [brain.numSlice.Y+1] ,
+                    [brain.numSlice.Z+1] ,
+                    [1] ]);
+    brain.coordinatesSlice.X = coordVoxel[0];
+    brain.coordinatesSlice.Y = coordVoxel[1];
+    brain.coordinatesSlice.Z = coordVoxel[2];
+  };
+
+
+  //***********************//
+  // Initialize the viewer //
+  //***********************//
+  brain.init = function() {
+
+    // Update the width of the X, Y and Z slices in the canvas, based on the width of its parent
+    brain.widthCanvas.X = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.Y/(2*brain.nbSlice.X+brain.nbSlice.Y)));
+    brain.widthCanvas.Y = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.X/(2*brain.nbSlice.X+brain.nbSlice.Y)));
+    brain.widthCanvas.Z = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.X/(2*brain.nbSlice.X+brain.nbSlice.Y)));
+    brain.widthCanvas.max = Math.max(brain.widthCanvas.X,brain.widthCanvas.Y,brain.widthCanvas.Z);
+
+    // Update the height of the slices in the canvas, based on width and image ratio
+    brain.heightCanvas.X = Math.floor(brain.widthCanvas.X * brain.nbSlice.Z / brain.nbSlice.Y );
+    brain.heightCanvas.Y = Math.floor(brain.widthCanvas.Y * brain.nbSlice.Z / brain.nbSlice.X );
+    brain.heightCanvas.Z = Math.floor(brain.widthCanvas.Z * brain.nbSlice.Y / brain.nbSlice.X );
+    brain.heightCanvas.max = Math.max(brain.heightCanvas.X,brain.heightCanvas.Y,brain.heightCanvas.Z);
+
+    // Apply the width/height to the canvas, if necessary
+    if (brain.canvas.width!=(brain.widthCanvas.X+brain.widthCanvas.Y+brain.widthCanvas.Z)) {
+      brain.canvas.width = brain.widthCanvas.X+brain.widthCanvas.Y+brain.widthCanvas.Z;
+      brain.canvas.height = Math.round((1+brain.spaceFont)*(brain.heightCanvas.max));
+      brain.context = setNearestNeighbour(brain.context,brain.smooth);
+    };
+
+    // Size for fonts
+    brain.sizeFontPixels = Math.round(brain.sizeFont*(brain.heightCanvas.max));
+
+    // fonts
+    brain.context.font = brain.sizeFontPixels + "px Arial";
+
+    // Draw the Master canvas
+    brain.planes.canvasMaster.width = brain.sprite.width;
+    brain.planes.canvasMaster.height = brain.sprite.height;
+    brain.planes.contextMaster.globalAlpha = 1;
+    brain.planes.contextMaster.drawImage(brain.sprite,
+            0, 0, brain.sprite.width, brain.sprite.height,0, 0, brain.sprite.width, brain.sprite.height );
+    if (brain.overlay) {
+        // Draw the overlay on a canvas
+        brain.planes.contextMaster.globalAlpha = brain.overlay.opacity;
+        brain.planes.contextMaster.drawImage(brain.overlay.sprite,
+            0, 0, brain.overlay.sprite.width, brain.overlay.sprite.height,0,0,brain.sprite.width,brain.sprite.height);
+    };
+
+    // Draw the X canvas (sagital)
+    brain.planes.canvasX = document.createElement('canvas');
+    brain.planes.contextX = brain.planes.canvasX.getContext('2d');
+    brain.planes.canvasX.width  = brain.nbSlice.Y;
+    brain.planes.canvasX.height = brain.nbSlice.Z;
+
+    // Draw the Y canvas (coronal)
+    brain.planes.canvasY = document.createElement('canvas');
+    brain.planes.contextY = brain.planes.canvasY.getContext('2d');
+    brain.planes.canvasY.width  = brain.nbSlice.X;
+    brain.planes.canvasY.height = brain.nbSlice.Z;
+
+    // Draw the Z canvas (axial)
+    brain.planes.canvasZ = document.createElement('canvas');
+    brain.planes.contextZ = brain.planes.canvasZ.getContext('2d');
+    brain.planes.canvasZ.width = brain.nbSlice.X;
+    brain.planes.canvasZ.height = brain.nbSlice.Y;
+    brain.planes.contextZ.rotate(-Math.PI/2);
+    brain.planes.contextZ.translate(-brain.nbSlice.Y,0);
+
+    // Update value
+    brain.updateValue()
+
+    // Update coordinates
+    brain.updateCoordinates()
+
+    // Round up slice coordinates
+    brain.numSlice.X = Math.round(brain.numSlice.X)
+    brain.numSlice.Y = Math.round(brain.numSlice.Y)
+    brain.numSlice.Z = Math.round(brain.numSlice.Z)
+
+  }
+
+
+  //***************************************//
+  // Draw a particular slice in the canvas //
+  //***************************************//
+  brain.draw = function(slice,type) {
+
+    // Init variables
+    var pos={}, coord, coordWidth, offset={X:'',Y:'',Z:''};
+    offset.X = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.X/2)
+    offset.Y = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.Y/2)
+    offset.Z = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.Z/2)
+
+    // Now draw the slice
+    switch(type) {
+      case 'X':
+        // Draw a sagital slice in memory
+        pos.XW = ((brain.numSlice.X)%brain.nbCol);
+        pos.XH = (brain.numSlice.X-pos.XW)/brain.nbCol;
+        brain.planes.contextX.drawImage(brain.planes.canvasMaster,
+                pos.XW*brain.nbSlice.Y, pos.XH*brain.nbSlice.Z, brain.nbSlice.Y, brain.nbSlice.Z,0, 0, brain.nbSlice.Y, brain.nbSlice.Z );
+
+        // Add a crosshair
+        if (brain.crosshair) {
+          brain.planes.contextX.fillStyle = brain.colorCrosshair;
+          brain.planes.contextX.fillRect( brain.numSlice.Y, offset.Z , 1 , brain.nbSlice.Z-2*offset.Z );
+          brain.planes.contextX.fillRect( offset.Y, brain.nbSlice.Z-brain.numSlice.Z-1, brain.nbSlice.Y-2*offset.Y , 1 );
+        }
+
+        // fill the slice with background color
+        brain.context.fillStyle=brain.colorBackground;
+        brain.context.fillRect(0, 0, brain.widthCanvas.X , brain.canvas.height);
+
+        // Draw on the main canvas
+        brain.context.drawImage(brain.planes.canvasX,
+                0, 0, brain.nbSlice.Y, brain.nbSlice.Z,0, (brain.heightCanvas.max-brain.heightCanvas.X)/2, brain.widthCanvas.X, brain.heightCanvas.X );
+
+        // Draw the title
+        if (brain.title) {
+          brain.context.fillStyle = brain.colorFont;
+          brain.context.fillText(brain.title,Math.round(brain.widthCanvas.X/10),Math.round( (brain.heightCanvas.max*brain.heightColorBar) + (1/4)*(brain.sizeFontPixels)));
+        }
+
+        // Draw the value at current voxel
+        if (brain.flagValue) {
+          value = "value = "+Number.parseFloat(brain.voxelValue).toPrecision(brain.nbDecimals).replace(/0+$/,"")
+          valueWidth = brain.context.measureText(value).width;
+          brain.context.fillStyle = brain.colorFont;
+          brain.context.fillText(value,Math.round(brain.widthCanvas.X/10),Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels)));
+        }
+
+        // Add X coordinates on the slice
+        if (brain.flagCoordinates) {
+          coord = "x = "+Math.round(brain.coordinatesSlice.X);
+          coordWidth = brain.context.measureText(coord).width;
+          brain.context.fillStyle = brain.colorFont;
+          brain.context.fillText(coord,brain.widthCanvas.X/2-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
+        }
+      break;
+
+      case 'Y':
+        // Draw a single coronal slice at native resolution
+        brain.context.fillStyle=brain.colorBackground;
+        brain.context.fillRect(brain.widthCanvas.X, 0, brain.widthCanvas.Y, brain.canvas.height);
+        for (let xx=0; xx<brain.nbSlice.X; xx++) {
+          const posW = (xx%brain.nbCol);
+          const posH = (xx-posW)/brain.nbCol;
+          brain.planes.contextY.drawImage(brain.planes.canvasMaster,
+              posW*brain.nbSlice.Y + brain.numSlice.Y, posH*brain.nbSlice.Z, 1, brain.nbSlice.Z, xx, 0, 1, brain.nbSlice.Z );
+        }
+
+        // Add a crosshair
+        if (brain.crosshair) {
+          brain.planes.contextY.fillStyle = brain.colorCrosshair;
+          brain.planes.contextY.fillRect( brain.numSlice.X, offset.Z , 1 , brain.nbSlice.Z-2*offset.Z );
+          brain.planes.contextY.fillRect( offset.X, brain.nbSlice.Z-brain.numSlice.Z-1 , brain.nbSlice.X-2*offset.X , 1 );
+        }
+
+        // Redraw the coronal slice in the canvas at screen resolution
+        brain.context.drawImage(brain.planes.canvasY,
+          0, 0, brain.nbSlice.X, brain.nbSlice.Z, brain.widthCanvas.X, (brain.heightCanvas.max-brain.heightCanvas.Y)/2, brain.widthCanvas.Y, brain.heightCanvas.Y );
+
+        // Add colorbar
+        if ((brain.colorMap)&&(!brain.colorMap.hide)) {
+          // draw the colorMap on the coronal slice at screen resolution
+          brain.context.drawImage(brain.colorMap.img,
+                0, 0, brain.colorMap.img.width, 1, Math.round(brain.widthCanvas.X + brain.widthCanvas.Y*0.2) , Math.round(brain.heightCanvas.max * brain.heightColorBar / 2), Math.round(brain.widthCanvas.Y*0.6) , Math.round(brain.heightCanvas.max * brain.heightColorBar));
+          brain.context.fillStyle = brain.colorFont;
+          label_min = Number.parseFloat(brain.colorMap.min).toPrecision(brain.nbDecimals).replace(/0+$/,"")
+          label_max = Number.parseFloat(brain.colorMap.max).toPrecision(brain.nbDecimals).replace(/0+$/,"")
+          brain.context.fillText(label_min,brain.widthCanvas.X+(brain.widthCanvas.Y*0.2)-brain.context.measureText(label_min).width/2,Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels) ));
+          brain.context.fillText(label_max,brain.widthCanvas.X+(brain.widthCanvas.Y*0.8)-brain.context.measureText(label_max).width/2,Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels) ));
+        }
+
+        // Add Y coordinates on the slice
+        if (brain.flagCoordinates) {
+          brain.context.font = brain.sizeFontPixels + "px Arial";
+          brain.context.fillStyle = brain.colorFont;
+          coord = "y = "+Math.round(brain.coordinatesSlice.Y);
+          coordWidth = brain.context.measureText(coord).width;
+          brain.context.fillText(coord,brain.widthCanvas.X+(brain.widthCanvas.Y/2)-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
+        }
+
+      case 'Z':
+        // Draw a single axial slice at native resolution
+        brain.context.fillStyle=brain.colorBackground;
+        brain.context.fillRect(brain.widthCanvas.X+brain.widthCanvas.Y, 0, brain.widthCanvas.Z, brain.canvas.height);
+
+        for (let xx=0; xx<brain.nbSlice.X; xx++) {
+          const posW = (xx%brain.nbCol);
+          const posH = (xx-posW)/brain.nbCol;
+          brain.planes.contextZ.drawImage(brain.planes.canvasMaster,
+              posW*brain.nbSlice.Y , posH*brain.nbSlice.Z + brain.nbSlice.Z-brain.numSlice.Z-1, brain.nbSlice.Y, 1, 0, xx, brain.nbSlice.Y, 1 );
+        }
+
+        // Add a crosshair
+        if (brain.crosshair) {
+          brain.planes.contextZ.fillStyle = brain.colorCrosshair;
+          brain.planes.contextZ.fillRect( offset.Y,  brain.numSlice.X , brain.nbSlice.Y-2*offset.Y , 1 );
+          brain.planes.contextZ.fillRect( brain.numSlice.Y , offset.X , 1, brain.nbSlice.X-2*offset.X );
+        }
+
+        // Redraw the axial slice in the canvas at screen resolution
+        brain.context.drawImage(brain.planes.canvasZ,
+          0, 0, brain.nbSlice.X, brain.nbSlice.Y, brain.widthCanvas.X+brain.widthCanvas.Y, (brain.heightCanvas.max-brain.heightCanvas.Z)/2, brain.widthCanvas.Z, brain.heightCanvas.Z );
+
+        // Add Z coordinates on the slice
+        if (brain.flagCoordinates) {
+          coord = "z = "+Math.round(brain.coordinatesSlice.Z);
+          coordWidth = brain.context.measureText(coord).width;
+          brain.context.fillStyle = brain.colorFont;
+          brain.context.fillText(coord,brain.widthCanvas.X+brain.widthCanvas.Y+(brain.widthCanvas.Z/2)-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
+        }
+    }
+  };
+
+  // In case of click, update brain slices
+  brain.clickBrain = function(e){
+    var rect = brain.canvas.getBoundingClientRect();
+    var xx = e.clientX - rect.left;
+    var yy = e.clientY - rect.top;
+    var sx, sy, sz;
+
+    if (xx<brain.widthCanvas.X){
+      sy = Math.round((brain.nbSlice.Y-1)*(xx/brain.widthCanvas.X));
+      sz = Math.round((brain.nbSlice.Z-1)*(((brain.heightCanvas.max+brain.heightCanvas.X)/2)-yy)/brain.heightCanvas.X);
+      brain.numSlice.Y = Math.max(Math.min(sy,brain.nbSlice.Y-1),0);
+      brain.numSlice.Z = Math.max(Math.min(sz,brain.nbSlice.Z-1),0);
+    } else if (xx<(brain.widthCanvas.X+brain.widthCanvas.Y)) {
+      xx = xx-brain.widthCanvas.X;
+      sx = Math.round((brain.nbSlice.X-1)*(xx/brain.widthCanvas.Y));
+      sz = Math.round((brain.nbSlice.Z-1)*(((brain.heightCanvas.max+brain.heightCanvas.X)/2)-yy)/brain.heightCanvas.X);
+      brain.numSlice.X = Math.max(Math.min(sx,brain.nbSlice.X-1),0);
+      brain.numSlice.Z = Math.max(Math.min(sz,brain.nbSlice.Z-1),0);
+    } else {
+      xx = xx-brain.widthCanvas.X-brain.widthCanvas.Y;
+      sx = Math.round((brain.nbSlice.X-1)*(xx/brain.widthCanvas.Z));
+      sy = Math.round((brain.nbSlice.Y-1)*(((brain.heightCanvas.max+brain.heightCanvas.Z)/2)-yy)/brain.heightCanvas.Z);
+      brain.numSlice.X = Math.max(Math.min(sx,brain.nbSlice.X-1),0);
+      brain.numSlice.Y = Math.max(Math.min(sy,brain.nbSlice.Y-1),0);
+    };
+    // Update value
+    brain.updateValue()
+
+    // Update coordinates
+    brain.updateCoordinates()
+
+    // Redraw slices
+    brain.drawAll()
+    if (brain.onclick) {
+      brain.onclick(e);
+    };
+  };
+
+  brain.drawAll = function(){
+    brain.draw(brain.numSlice.X,'X');
+    brain.draw(brain.numSlice.Y,'Y');
+    brain.draw(brain.numSlice.Z,'Z');
+  };
+
+  // Attach a listener for clicks
+  brain.canvas.addEventListener('click', brain.clickBrain, false);
+
+  // Attach a listener on mouse down
+  brain.canvas.addEventListener('mousedown', function(e) {
+    brain.canvas.addEventListener('mousemove', brain.clickBrain, false);
+  }, false);
+
+  // Detach the listener on mouse up
+  brain.canvas.addEventListener('mouseup', function(e) {
+      brain.canvas.removeEventListener('mousemove', brain.clickBrain, false);
+    }, false);
+
+  // Draw all slices when background/overlay are loaded
+  brain.sprite.addEventListener('load', function(){
+    brain.init();
+    brain.drawAll();
+  });
+  if (brain.overlay) {
+    brain.overlay.sprite.addEventListener('load', function(){
+      brain.init();
+      brain.drawAll();
+    });
+  }
+
+  // Init the viewer
+  brain.init();
+
+  // Draw all slices
+  brain.drawAll();
+
+  return brain;
+};
+
+export default brainsprite
diff --git a/dmriprepViewer/src/main.js b/dmriprepViewer/src/main.js
new file mode 100644
index 00000000..b31b5b6f
--- /dev/null
+++ b/dmriprepViewer/src/main.js
@@ -0,0 +1,15 @@
+// The Vue build version to load with the `import` command
+// (runtime-only or standalone) has been set in webpack.base.conf with an alias.
+import Vue from 'vue';
+import App from './App';
+import router from './router';
+
+Vue.config.productionTip = false;
+
+/* eslint-disable no-new */
+new Vue({
+  el: '#app',
+  router,
+  components: { App },
+  template: '<App/>',
+});
diff --git a/dmriprepViewer/src/router/index.js b/dmriprepViewer/src/router/index.js
new file mode 100644
index 00000000..5ddffbe7
--- /dev/null
+++ b/dmriprepViewer/src/router/index.js
@@ -0,0 +1,27 @@
+import Vue from 'vue';
+import Router from 'vue-router';
+import HelloWorld from '@/components/HelloWorld';
+import Report from '@/components/Report';
+import Bucket from '@/components/Bucket';
+
+Vue.use(Router);
+
+export default new Router({
+  routes: [
+    {
+      path: '/',
+      name: 'HelloWorld',
+      component: HelloWorld,
+    },
+    {
+      path: '/report',
+      name: 'Report',
+      component: Report,
+    },
+    {
+      path: '/bucket/:bucket',
+      name: 'Bucket',
+      component: Bucket,
+    },
+  ],
+});
diff --git a/dmriprepViewer/static/.gitkeep b/dmriprepViewer/static/.gitkeep
new file mode 100644
index 00000000..e69de29b
diff --git a/dmriprepViewer/test/e2e/custom-assertions/elementCount.js b/dmriprepViewer/test/e2e/custom-assertions/elementCount.js
new file mode 100644
index 00000000..818e6020
--- /dev/null
+++ b/dmriprepViewer/test/e2e/custom-assertions/elementCount.js
@@ -0,0 +1,27 @@
+// A custom Nightwatch assertion.
+// The assertion name is the filename.
+// Example usage:
+//
+//   browser.assert.elementCount(selector, count)
+//
+// For more information on custom assertions see:
+// http://nightwatchjs.org/guide#writing-custom-assertions
+
+exports.assertion = function (selector, count) {
+  this.message = 'Testing if element <' + selector + '> has count: ' + count
+  this.expected = count
+  this.pass = function (val) {
+    return val === this.expected
+  }
+  this.value = function (res) {
+    return res.value
+  }
+  this.command = function (cb) {
+    var self = this
+    return this.api.execute(function (selector) {
+      return document.querySelectorAll(selector).length
+    }, [selector], function (res) {
+      cb.call(self, res)
+    })
+  }
+}
diff --git a/dmriprepViewer/test/e2e/nightwatch.conf.js b/dmriprepViewer/test/e2e/nightwatch.conf.js
new file mode 100644
index 00000000..f019c0ac
--- /dev/null
+++ b/dmriprepViewer/test/e2e/nightwatch.conf.js
@@ -0,0 +1,46 @@
+require('babel-register')
+var config = require('../../config')
+
+// http://nightwatchjs.org/gettingstarted#settings-file
+module.exports = {
+  src_folders: ['test/e2e/specs'],
+  output_folder: 'test/e2e/reports',
+  custom_assertions_path: ['test/e2e/custom-assertions'],
+
+  selenium: {
+    start_process: true,
+    server_path: require('selenium-server').path,
+    host: '127.0.0.1',
+    port: 4444,
+    cli_args: {
+      'webdriver.chrome.driver': require('chromedriver').path
+    }
+  },
+
+  test_settings: {
+    default: {
+      selenium_port: 4444,
+      selenium_host: 'localhost',
+      silent: true,
+      globals: {
+        devServerURL: 'http://localhost:' + (process.env.PORT || config.dev.port)
+      }
+    },
+
+    chrome: {
+      desiredCapabilities: {
+        browserName: 'chrome',
+        javascriptEnabled: true,
+        acceptSslCerts: true
+      }
+    },
+
+    firefox: {
+      desiredCapabilities: {
+        browserName: 'firefox',
+        javascriptEnabled: true,
+        acceptSslCerts: true
+      }
+    }
+  }
+}
diff --git a/dmriprepViewer/test/e2e/runner.js b/dmriprepViewer/test/e2e/runner.js
new file mode 100644
index 00000000..27220329
--- /dev/null
+++ b/dmriprepViewer/test/e2e/runner.js
@@ -0,0 +1,48 @@
+// 1. start the dev server using production config
+process.env.NODE_ENV = 'testing'
+
+const webpack = require('webpack')
+const DevServer = require('webpack-dev-server')
+
+const webpackConfig = require('../../build/webpack.prod.conf')
+const devConfigPromise = require('../../build/webpack.dev.conf')
+
+let server
+
+devConfigPromise.then(devConfig => {
+  const devServerOptions = devConfig.devServer
+  const compiler = webpack(webpackConfig)
+  server = new DevServer(compiler, devServerOptions)
+  const port = devServerOptions.port
+  const host = devServerOptions.host
+  return server.listen(port, host)
+})
+.then(() => {
+  // 2. run the nightwatch test suite against it
+  // to run in additional browsers:
+  //    1. add an entry in test/e2e/nightwatch.conf.js under "test_settings"
+  //    2. add it to the --env flag below
+  // or override the environment flag, for example: `npm run e2e -- --env chrome,firefox`
+  // For more information on Nightwatch's config file, see
+  // http://nightwatchjs.org/guide#settings-file
+  let opts = process.argv.slice(2)
+  if (opts.indexOf('--config') === -1) {
+    opts = opts.concat(['--config', 'test/e2e/nightwatch.conf.js'])
+  }
+  if (opts.indexOf('--env') === -1) {
+    opts = opts.concat(['--env', 'chrome'])
+  }
+
+  const spawn = require('cross-spawn')
+  const runner = spawn('./node_modules/.bin/nightwatch', opts, { stdio: 'inherit' })
+
+  runner.on('exit', function (code) {
+    server.close()
+    process.exit(code)
+  })
+
+  runner.on('error', function (err) {
+    server.close()
+    throw err
+  })
+})
diff --git a/dmriprepViewer/test/e2e/specs/test.js b/dmriprepViewer/test/e2e/specs/test.js
new file mode 100644
index 00000000..ee3514ee
--- /dev/null
+++ b/dmriprepViewer/test/e2e/specs/test.js
@@ -0,0 +1,19 @@
+// For authoring Nightwatch tests, see
+// http://nightwatchjs.org/guide#usage
+
+module.exports = {
+  'default e2e tests': function test(browser) {
+    // automatically uses dev Server port from /config.index.js
+    // default: http://localhost:8080
+    // see nightwatch.conf.js
+    const devServer = browser.globals.devServerURL;
+
+    browser
+      .url(devServer)
+      .waitForElementVisible('#app', 5000)
+      .assert.elementPresent('.hello')
+      .assert.containsText('h1', 'Welcome to Your Vue.js App')
+      .assert.elementCount('img', 1)
+      .end();
+  },
+};
diff --git a/dmriprepViewer/test/unit/.eslintrc b/dmriprepViewer/test/unit/.eslintrc
new file mode 100644
index 00000000..4d5d98f3
--- /dev/null
+++ b/dmriprepViewer/test/unit/.eslintrc
@@ -0,0 +1,7 @@
+{
+  "env": { 
+    "jest": true
+  },
+  "globals": { 
+  }
+}
diff --git a/dmriprepViewer/test/unit/jest.conf.js b/dmriprepViewer/test/unit/jest.conf.js
new file mode 100644
index 00000000..8a1977ee
--- /dev/null
+++ b/dmriprepViewer/test/unit/jest.conf.js
@@ -0,0 +1,30 @@
+const path = require('path');
+
+module.exports = {
+  rootDir: path.resolve(__dirname, '../../'),
+  moduleFileExtensions: [
+    'js',
+    'json',
+    'vue',
+  ],
+  moduleNameMapper: {
+    '^@/(.*)$': '<rootDir>/src/$1',
+  },
+  transform: {
+    '^.+\\.js$': '<rootDir>/node_modules/babel-jest',
+    '.*\\.(vue)$': '<rootDir>/node_modules/vue-jest',
+  },
+  testPathIgnorePatterns: [
+    '<rootDir>/test/e2e',
+  ],
+  snapshotSerializers: ['<rootDir>/node_modules/jest-serializer-vue'],
+  setupFiles: ['<rootDir>/test/unit/setup'],
+  mapCoverage: true,
+  coverageDirectory: '<rootDir>/test/unit/coverage',
+  collectCoverageFrom: [
+    'src/**/*.{js,vue}',
+    '!src/main.js',
+    '!src/router/index.js',
+    '!**/node_modules/**',
+  ],
+};
diff --git a/dmriprepViewer/test/unit/setup.js b/dmriprepViewer/test/unit/setup.js
new file mode 100644
index 00000000..a9bec302
--- /dev/null
+++ b/dmriprepViewer/test/unit/setup.js
@@ -0,0 +1,3 @@
+import Vue from 'vue';
+
+Vue.config.productionTip = false;
diff --git a/dmriprepViewer/test/unit/specs/HelloWorld.spec.js b/dmriprepViewer/test/unit/specs/HelloWorld.spec.js
new file mode 100644
index 00000000..3348a98f
--- /dev/null
+++ b/dmriprepViewer/test/unit/specs/HelloWorld.spec.js
@@ -0,0 +1,11 @@
+import Vue from 'vue';
+import HelloWorld from '@/components/HelloWorld';
+
+describe('HelloWorld.vue', () => {
+  it('should render correct contents', () => {
+    const Constructor = Vue.extend(HelloWorld);
+    const vm = new Constructor().$mount();
+    expect(vm.$el.querySelector('.hello h1').textContent)
+      .toEqual('Welcome to Your Vue.js App');
+  });
+});

From ec068f2ad4d03e686791c1920f795f1b8b77bbae Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 14 Aug 2019 12:24:15 -0400
Subject: [PATCH 112/156] add docs requirements for readthedocs install

---
 .readthedocs.yml |  6 ++++++
 docs/conf.py     | 11 +++--------
 docs/outputs.rst | 20 ++++++++++++++++++--
 3 files changed, 27 insertions(+), 10 deletions(-)
 create mode 100644 .readthedocs.yml

diff --git a/.readthedocs.yml b/.readthedocs.yml
new file mode 100644
index 00000000..8b8e2d1a
--- /dev/null
+++ b/.readthedocs.yml
@@ -0,0 +1,6 @@
+python:
+  install:
+    - method: pip
+      path: .
+      extra_requirements:
+        - doc
diff --git a/docs/conf.py b/docs/conf.py
index 38c01ebf..c4d258ba 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -37,7 +37,8 @@
 extensions = [
     "sphinx.ext.autodoc",
     "sphinx.ext.viewcode",
-    "sphinx_click.ext"
+    "sphinx.ext.napoleon",
+    "sphinx_click.ext",
 ]
 
 # Add any paths that contain templates here, relative to this directory.
@@ -132,13 +133,7 @@
 # (source start file, target name, title, author, documentclass
 # [howto, manual, or own class]).
 latex_documents = [
-    (
-        master_doc,
-        "dmriprep.tex",
-        "dmriprep Documentation",
-        author,
-        "manual",
-    )
+    (master_doc, "dmriprep.tex", "dmriprep Documentation", author, "manual")
 ]
 
 
diff --git a/docs/outputs.rst b/docs/outputs.rst
index 4286020c..e1946909 100644
--- a/docs/outputs.rst
+++ b/docs/outputs.rst
@@ -1,2 +1,18 @@
-Outputs
-=======
+Outputs of dMRIPrep
+===================
+
+dMRIPrep generates:
+
+  1. **Visual QA (quality assurance) reports**
+
+  2. **Pre-processed imaging data**
+
+Visual Reports
+--------------
+
+Preprocessed data (dMRIPrep *derivatives*)
+------------------------------------------
+
+Anatomical derivatives are placed in each subject's ``anat`` subfolder:
+
+Diffusion derivatives are stored in the ``dwi`` subfolder.

From d1f8be8c761d7f0da5b87c8310be1d8651dccbd8 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 14 Aug 2019 12:31:37 -0400
Subject: [PATCH 113/156] update readthedocs config

---
 .readthedocs.yml | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index 8b8e2d1a..14d721c1 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,3 +1,17 @@
+# .readthedocs.yml
+# Read the Docs configuration file
+# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
+
+# Required
+version: 2
+
+# Build documentation in the docs/ directory with Sphinx
+sphinx:
+  configuration: docs/conf.py
+
+# Optionally build your docs in additional formats such as PDF and ePub
+formats: all
+
 python:
   install:
     - method: pip

From 61c2cf8c05acb1ad03f13b98e513d351f88fa304 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 14 Aug 2019 13:22:26 -0400
Subject: [PATCH 114/156] update docs

---
 docs/index.rst     | 10 ++++++----
 docs/license.rst   | 11 +++++++++++
 docs/readme.rst    |  1 -
 docs/usage.rst     | 21 +++++++++++++++++++++
 docs/workflows.rst |  4 ++--
 5 files changed, 40 insertions(+), 7 deletions(-)
 create mode 100644 docs/license.rst
 delete mode 100644 docs/readme.rst

diff --git a/docs/index.rst b/docs/index.rst
index 01035f4c..35c90c86 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,18 +1,20 @@
-Welcome to dmriprep's documentation!
-====================================
+..include:: links.rst
+..include:: ../README.rst
+../include:: license.rst
+
+Contents
+--------
 
 .. toctree::
    :maxdepth: 2
    :caption: Contents:
 
-   readme
    installation
    changes
    usage
    workflows
    outputs
    contributing
-   authors
 
 Indices and tables
 ==================
diff --git a/docs/license.rst b/docs/license.rst
new file mode 100644
index 00000000..7f0fbaf3
--- /dev/null
+++ b/docs/license.rst
@@ -0,0 +1,11 @@
+License information
+-------------------
+
+We use the 3-clause BSD license; the full license may be found in the
+`LICENSE <https://github.com/josephmje/dmriprep/blob/master/LICENSE>`_ file
+in the ``dmriprep`` distribution.
+
+All trademarks referenced herein are property of their respective holders.
+
+Copyright (c) 2018-2019, the dMRIPrep.
+All rights reserved.
diff --git a/docs/readme.rst b/docs/readme.rst
deleted file mode 100644
index 72a33558..00000000
--- a/docs/readme.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../README.rst
diff --git a/docs/usage.rst b/docs/usage.rst
index e9c9a6b0..b45f713b 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -1,3 +1,5 @@
+.. include:: links.rst
+
 Usage
 -----
 
@@ -9,12 +11,31 @@ that is to be processed.
 The input dataset is required to be in valid :abbr:`BIDS (Brain Imaging Data
 Structure)` format, and it must include at least one T1w structural image and
 a dwi series.
+
+.. code-block:: console
+
+    bids
+    └── sub-01
+      ├── anat
+      │   └── sub-01_T1w.nii.gz
+      ├── dwi
+      │   ├── sub-01_dwi.bval
+      │   ├── sub-01_dwi.bvec
+      │   ├── sub-01_dwi.json
+      │   └── sub-01_dwi.nii.gz
+      └── fmap
+          ├── sub-01_acq-dwi_dir-AP_epi.json
+          ├── sub-01_acq-dwi_dir-AP_epi.nii.gz
+          ├── sub-01_acq-dwi_dir-PA_epi.json
+          └── sub-01_acq-dwi_dir-PA_epi.nii.gz
+
 We highly recommend that you validate your dataset with the free, online
 `BIDS Validator <http://bids-standard.github.io/bids-validator/>`_.
 
 The exact command to run ``dmriprep`` depends on the Installation_ method.
 The common parts of the command follow the `BIDS-Apps
 <https://github.com/BIDS-Apps>`_ definition.
+
 Example: ::
 
     dmriprep data/bids_root/ out/ participant -w work/
diff --git a/docs/workflows.rst b/docs/workflows.rst
index a3745af4..86ae3400 100644
--- a/docs/workflows.rst
+++ b/docs/workflows.rst
@@ -1,2 +1,2 @@
-Workflows
-=========
+Processing pipeline details
+===========================

From 00ef72b52845de260a9dcb51aafc60ef22f4efa7 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 14 Aug 2019 13:28:10 -0400
Subject: [PATCH 115/156] update docs again

---
 docs/installation.rst | 67 +++++++++++++++++++++++++------------------
 docs/usage.rst        |  2 +-
 2 files changed, 40 insertions(+), 29 deletions(-)

diff --git a/docs/installation.rst b/docs/installation.rst
index 26e72e02..30a79118 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -4,9 +4,44 @@
 Installation
 ============
 
+Docker Container
+================
 
-Stable release
---------------
+.. code-block:: console
+
+    $ git clone https://github.com/josephmje/dmriprep
+    $ cd dmriprep
+    $ make docker
+
+If you don't want to log into the docker image:
+
+.. code-block:: console
+
+    $ docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod dmriprep /inputs /outputs
+
+If you want to log into the image:
+
+.. code-block:: console
+
+    $ docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod
+
+Run this inside the docker image:
+
+.. code-block:: console
+
+    $ dmriprep /inputs /output --participant-label 01
+
+Singularity Container
+=====================
+
+Preparing a Singularity image (Singularity version < 2.5)
+---------------------------------------------------------
+
+Running a Singularity Image
+---------------------------
+
+Manually Prepared Environment (Python 3.5+)
+===========================================
 
 To install dmriprep, run this command in your terminal:
 
@@ -50,29 +85,5 @@ Once you have a copy of the source, you can install it with:
 .. _Github repo: https://github.com/josephmje/dmriprep
 .. _tarball: https://github.com/josephmje/dmriprep/tarball/master
 
-Docker container
-----------------
-
-.. code-block:: console
-
-    $ git clone https://github.com/josephmje/dmriprep
-    $ cd dmriprep
-    $ make docker
-
-If you don't want to log into the docker image:
-
-.. code-block:: console
-
-    $ docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod dmriprep /inputs /outputs
-
-If you want to log into the image:
-
-.. code-block:: console
-
-    $ docker run -ti -v $BIDS_INPUT_DIR:/inputs -v $OUTPUT_DIR:/outputs dmriprep:prod
-
-Run this inside the docker image:
-
-.. code-block:: console
-
-    $ dmriprep /inputs /output --participant-label 01
+External Dependencies
+---------------------
diff --git a/docs/usage.rst b/docs/usage.rst
index b45f713b..8cd43274 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -38,7 +38,7 @@ The common parts of the command follow the `BIDS-Apps
 
 Example: ::
 
-    dmriprep data/bids_root/ out/ participant -w work/
+    dmriprep data/bids out/ participant -w work/
 
 
 Command-Line Arguments

From e234fbdbaf9120f391eb51a77cf9e3e4896b2823 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 14 Aug 2019 13:32:56 -0400
Subject: [PATCH 116/156] add sdc documentation outline

---
 docs/index.rst |  1 +
 docs/sdc.rst   | 20 ++++++++++++++++++++
 2 files changed, 21 insertions(+)
 create mode 100644 docs/sdc.rst

diff --git a/docs/index.rst b/docs/index.rst
index 35c90c86..f87671bd 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -13,6 +13,7 @@ Contents
    changes
    usage
    workflows
+   sdc
    outputs
    contributing
 
diff --git a/docs/sdc.rst b/docs/sdc.rst
new file mode 100644
index 00000000..d28473b7
--- /dev/null
+++ b/docs/sdc.rst
@@ -0,0 +1,20 @@
+Susceptibility Distortion Correction (SDC)
+------------------------------------------
+
+Introduction
+~~~~~~~~~~~~
+
+Correction Methods
+~~~~~~~~~~~~~~~~~~
+
+  1. topup
+
+  2. fieldmap
+
+  3. phasediff
+
+  4. phase1/phase2
+
+  5. nonlinear registration
+
+  6. synthetic b0

From 7a69cfb2a5d5795b9255414fd9b001578f8defe8 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 14 Aug 2019 13:45:23 -0400
Subject: [PATCH 117/156] fix typo

---
 docs/index.rst | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/docs/index.rst b/docs/index.rst
index f87671bd..a4451320 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,13 +1,10 @@
-..include:: links.rst
-..include:: ../README.rst
-../include:: license.rst
-
-Contents
---------
+.. include:: links.rst
+.. include:: ../README.rst
+.. include:: license.rst
 
 .. toctree::
    :maxdepth: 2
-   :caption: Contents:
+   :caption: Contents
 
    installation
    changes

From 29d955c03c45dcdabea7756791448f1ac7dec9f2 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 14 Aug 2019 17:15:39 -0400
Subject: [PATCH 118/156] add all mrtrix interfaces for testing

---
 dmriprep/interfaces/mrtrix3.py | 261 ++++++++++++++++++++++++++++++---
 1 file changed, 239 insertions(+), 22 deletions(-)

diff --git a/dmriprep/interfaces/mrtrix3.py b/dmriprep/interfaces/mrtrix3.py
index fbbbb16d..ea0ec0f0 100644
--- a/dmriprep/interfaces/mrtrix3.py
+++ b/dmriprep/interfaces/mrtrix3.py
@@ -1,51 +1,265 @@
 #!/usr/bin/env python
 
-from __future__ import (
-    print_function,
-    division,
-    unicode_literals,
-    absolute_import,
-)
+from __future__ import print_function, division, unicode_literals, absolute_import
 
 from nipype.interfaces.base import traits, TraitedSpec, File
 from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base
 
 
-class MRResizeInputSpec(MRTrix3BaseInputSpec):
+class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):
+    in_file = File(
+        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+    )
+    mask = File(exists=True, argstr="-mask %s", position=1, desc="mask image")
+    extent = traits.Tuple(
+        (traits.Int, traits.Int, traits.Int),
+        argstr="-extent %d,%d,%d",
+        desc="set the window size of the denoising filter. (default = 5,5,5)",
+    )
+    noise = File(
+        argstr="-noise %s",
+        name_template="%s_noise",
+        name_source="in_file",
+        keep_extension=True,
+        desc="the output noise map",
+    )
+    out_file = File(
+        argstr="%s",
+        position=-1,
+        name_template="%s_denoised",
+        name_source="in_file",
+        keep_extension=True,
+        desc="the output denoised DWI image",
+    )
+
+
+class DWIDenoiseOutputSpec(TraitedSpec):
+    noise = File(desc="the output noise map", exists=True)
+    out_file = File(desc="the output denoised DWI image", exists=True)
+
+
+class DWIDenoise(MRTrix3Base):
+    """
+    Denoise DWI data and estimate the noise level based on the optimal
+    threshold for PCA.
+
+    DWI data denoising and noise map estimation by exploiting data redundancy
+    in the PCA domain using the prior knowledge that the eigenspectrum of
+    random covariance matrices is described by the universal Marchenko Pastur
+    distribution.
+
+    Important note: image denoising must be performed as the first step of the
+    image processing pipeline. The routine will fail if interpolation or
+    smoothing has been applied to the data prior to denoising.
+
+    Note that this function does not correct for non-Gaussian noise biases.
+
+    For more information, see
+    <https://mrtrix.readthedocs.io/en/latest/reference/commands/dwidenoise.html>
+
+    Example
+    -------
+
+    >>> import nipype.interfaces.mrtrix3 as mrt
+    >>> denoise = mrt.DWIDenoise()
+    >>> denoise.inputs.in_file = 'dwi.mif'
+    >>> denoise.inputs.mask = 'mask.mif'
+    >>> denoise.inputs.noise = 'noise.mif'
+    >>> denoise.cmdline                               # doctest: +ELLIPSIS
+    'dwidenoise -mask mask.mif -noise noise.mif dwi.mif dwi_denoised.mif'
+    >>> denoise.run()                                 # doctest: +SKIP
+    """
+
+    _cmd = "dwidenoise"
+    input_spec = DWIDenoiseInputSpec
+    output_spec = DWIDenoiseOutputSpec
+
+
+class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):
     in_file = File(
-        exists=True,
+        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+    )
+    axes = traits.ListInt(
+        default_value=[0, 1],
+        usedefault=True,
+        sep=",",
+        minlen=2,
+        maxlen=2,
+        argstr="-axes %s",
+        desc="indicate the plane in which the data was acquired (axial = 0,1; "
+        "coronal = 0,2; sagittal = 1,2",
+    )
+    nshifts = traits.Int(
+        default_value=20,
+        usedefault=True,
+        argstr="-nshifts %d",
+        desc="discretization of subpixel spacing (default = 20)",
+    )
+    minW = traits.Int(
+        default_value=1,
+        usedefault=True,
+        argstr="-minW %d",
+        desc="left border of window used for total variation (TV) computation "
+        "(default = 1)",
+    )
+    maxW = traits.Int(
+        default_value=3,
+        usedefault=True,
+        argstr="-maxW %d",
+        desc="right border of window used for total variation (TV) computation "
+        "(default = 3)",
+    )
+    out_file = File(
+        name_template="%s_unr",
+        name_source="in_file",
+        keep_extension=True,
         argstr="%s",
-        position=-2,
+        position=-1,
+        desc="the output unringed DWI image",
+    )
+
+
+class MRDeGibbsOutputSpec(TraitedSpec):
+    out_file = File(desc="the output unringed DWI image", exists=True)
+
+
+class MRDeGibbs(MRTrix3Base):
+    """
+    Remove Gibbs ringing artifacts.
+
+    This application attempts to remove Gibbs ringing artefacts from MRI images
+    using the method of local subvoxel-shifts proposed by Kellner et al.
+
+    This command is designed to run on data directly after it has been
+    reconstructed by the scanner, before any interpolation of any kind has
+    taken place. You should not run this command after any form of motion
+    correction (e.g. not after dwipreproc). Similarly, if you intend running
+    dwidenoise, you should run this command afterwards, since it has the
+    potential to alter the noise structure, which would impact on dwidenoise's
+    performance.
+
+    Note that this method is designed to work on images acquired with full
+    k-space coverage. Running this method on partial Fourier ('half-scan') data
+    may lead to suboptimal and/or biased results, as noted in the original
+    reference below. There is currently no means of dealing with this; users
+    should exercise caution when using this method on partial Fourier data, and
+    inspect its output for any obvious artefacts.
+
+    For more information, see
+    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrdegibbs.html>
+
+    Example
+    -------
+
+    >>> import nipype.interfaces.mrtrix3 as mrt
+    >>> unring = mrt.MRDeGibbs()
+    >>> unring.inputs.in_file = 'dwi.mif'
+    >>> unring.cmdline
+    'mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 dwi.mif dwi_unr.mif'
+    >>> unring.run()                                 # doctest: +SKIP
+    """
+
+    _cmd = "mrdegibbs"
+    input_spec = MRDeGibbsInputSpec
+    output_spec = MRDeGibbsOutputSpec
+
+
+class DWIBiasCorrectInputSpec(MRTrix3BaseInputSpec):
+    in_file = File(
+        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+    )
+    in_mask = File(argstr="-mask %s", desc="input mask image for bias field estimation")
+    use_ants = traits.Bool(
+        argstr="-ants",
+        mandatory=True,
+        desc="use ANTS N4 to estimate the inhomogeneity field",
+        xor=["use_fsl"],
+    )
+    use_fsl = traits.Bool(
+        argstr="-fsl",
         mandatory=True,
-        desc="input DWI image",
+        desc="use FSL FAST to estimate the inhomogeneity field",
+        xor=["use_ants"],
     )
-    image_size = traits.List(
-        traits.Int(),
-        argstr="-size %s",
+    bias = File(argstr="-bias %s", desc="bias field")
+    out_file = File(
+        name_template="%s_biascorr",
+        name_source="in_file",
+        keep_extension=True,
+        argstr="%s",
+        position=-1,
+        desc="the output bias corrected DWI image",
+        genfile=True,
+    )
+
+
+class DWIBiasCorrectOutputSpec(TraitedSpec):
+    bias = File(desc="the output bias field", exists=True)
+    out_file = File(desc="the output bias corrected DWI image", exists=True)
+
+
+class DWIBiasCorrect(MRTrix3Base):
+    """
+    Perform B1 field inhomogeneity correction for a DWI volume series.
+
+    For more information, see
+    <https://mrtrix.readthedocs.io/en/latest/reference/scripts/dwibiascorrect.html>
+
+    Example
+    -------
+
+    >>> import nipype.interfaces.mrtrix3 as mrt
+    >>> bias_correct = mrt.DWIBiasCorrect()
+    >>> bias_correct.inputs.in_file = 'dwi.mif'
+    >>> bias_correct.inputs.use_ants = True
+    >>> bias_correct.cmdline
+    'dwibiascorrect -ants dwi.mif dwi_biascorr.mif'
+    >>> bias_correct.run()                             # doctest: +SKIP
+    """
+
+    _cmd = "dwibiascorrect"
+    input_spec = DWIBiasCorrectInputSpec
+    output_spec = DWIBiasCorrectOutputSpec
+
+
+class MRResizeInputSpec(MRTrix3BaseInputSpec):
+    in_file = File(
+        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
+    )
+    image_size = traits.Tuple(
+        (traits.Int, traits.Int, traits.Int),
+        argstr="-size %d,%d,%d",
+        mandatory=True,
         desc="define the new image size for the output image. This should be "
         "specified as a comma-separated list.",
+        xor=["voxel_size", "scale_factor"],
     )
-    voxel_size = traits.List(
-        traits.Float(),
-        argstr="-voxel %s",
+    voxel_size = traits.Tuple(
+        (traits.Float, traits.Float, traits.Float),
+        argstr="-voxel %d,%d,%d",
+        mandatory=True,
         desc="define the new voxel size for the output image. This can be "
         "specified either as a single value to be used for all "
         "dimensions, or as a comma-separated list of the size for each "
         "voxel dimension.",
+        xor=["image_size", "scale_factor"],
     )
-    scale_factor = traits.Float(
-        argstr="-scale %s",
+    scale_factor = traits.Tuple(
+        (traits.Float, traits.Float, traits.Float),
+        argstr="-scale %d,%d,%d",
+        mandatory=True,
         desc="scale the image resolution by the supplied factor. This can be "
         "specified either as a single value to be used for all "
         "dimensions, or as a comma-separated list of scale factors for "
         "each dimension.",
+        xor=["image_size", "voxel_size"],
     )
     interp = traits.Enum(
+        "cubic",
         "nearest",
         "linear",
-        "cubic",
         "sinc",
-        default="cubic",
+        usedefault=True,
         argstr="-interp %s",
         desc="set the interpolation method to use when resizing (choices: "
         "nearest, linear, cubic, sinc. Default: cubic).",
@@ -67,7 +281,10 @@ class MRResizeOutputSpec(TraitedSpec):
 
 class MRResize(MRTrix3Base):
     """
-    Resize an image by defining the new image resolution, voxel size or a scale factor
+    Resize an image by defining the new image resolution, voxel size or a
+    scale factor. If the image is 4D, then only the first 3 dimensions can be
+    resized. Also, if the image is down-sampled, the appropriate smoothing is
+    automatically applied using Gaussian smoothing.
     For more information, see
     <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrresize.html>
     Example
@@ -75,7 +292,7 @@ class MRResize(MRTrix3Base):
     >>> import nipype.interfaces.mrtrix3 as mrt
     >>> resize = mrt.MRResize()
     >>> resize.inputs.in_file = 'dwi.mif'
-    >>> resize.inputs.scal_factor = 2
+    >>> resize.inputs.scale_factor = 2
     >>> resize.cmdline                               # doctest: +ELLIPSIS
     'mrresize -scale 2 dwi.mif dwi_resized.mif'
     >>> resize.run()                                 # doctest: +SKIP

From 2634fe209bcfd877ee2b4c949faa165b25bfeec7 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Fri, 16 Aug 2019 11:58:41 -0400
Subject: [PATCH 119/156] add missing packages to setup.cfg

---
 setup.cfg | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/setup.cfg b/setup.cfg
index 51aabcb7..0e1fbcc2 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -20,18 +20,22 @@ classifiers =
 [options]
 python_requires = >=3.5
 install_requires =
+    Click >= 7.0
+    dipy ~= 1.0.0
+    nipype >=1.2.0
     niworkflows ~= 0.10.1
     smriprep @ git+https://github.com/poldracklab/smriprep.git@9f58665830570835545ff83fea1dc91e89706591
     templateflow ~= 0.4.1
     nibabel >=2.2.1
     indexed_gzip >=0.8.8
     nilearn !=0.5.0, !=0.5.1
-    nipype >=1.2.0
     psutil >=5.4
     pybids ~= 0.9.2
     nitime
     numpy
     pandas
+    matplotlib
+    numba ~= 0.44.1
     pyyaml
     scikit-image
     statsmodels

From 49797adddce2f5c8944c8f05150d9aa07afbe9f4 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Fri, 16 Aug 2019 16:29:48 -0400
Subject: [PATCH 120/156] update dipy version, fix output_resolution arg and
 update dtifit outputs

---
 dmriprep/cli.py                   |  6 +++++-
 dmriprep/workflows/dwi/base.py    | 18 ++++++++++++++++++
 dmriprep/workflows/dwi/outputs.py |  5 +++++
 dmriprep/workflows/dwi/tensor.py  |  4 ++--
 requirements.txt                  |  8 ++++----
 setup.cfg                         |  2 --
 6 files changed, 34 insertions(+), 9 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 80a14aba..f5645071 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -97,6 +97,7 @@ def __init__(
     "--output_resolution",
     help="The isotropic voxel size in mm the data will be resampled to before eddy.",
     type=float,
+    multiple=True
 )
 # specific options for eddy
 @click.option(
@@ -218,6 +219,9 @@ def main(
     if not work_dir:
         work_dir = os.path.join(output_dir, "scratch")
 
+    if len(output_resolution) == 1:
+        output_resolution = output_resolution * 3
+
     # Set parameters based on CLI, pass through object
     parameters = Parameters(
         layout=layout,
@@ -228,7 +232,7 @@ def main(
         work_dir=work_dir,
         ignore=list(ignore),
         b0_thresh=b0_thresh,
-        output_resolution=(output_resolution, output_resolution, output_resolution),
+        output_resolution=output_resolution,
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
         omp_nthreads=omp_nthreads,
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 5903ae9f..a136c14a 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -94,6 +94,21 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
     dwi_prep_wf = init_prep_dwi_wf(parameters.ignore, parameters.output_resolution)
 
     def gen_index(in_file):
+        """
+        Create an index file that tells `eddy` which line/lines in the
+        `acqparams.txt` file are relevant for the dwi data passed into `eddy`
+
+        **Inputs**
+
+        in_file
+            The bval file.
+
+        **Outputs**
+
+        out_file
+            The output index file.
+        """
+
         import os
         import numpy as np
         import nibabel as nib
@@ -393,6 +408,9 @@ def get_b0_mask_fn(b0_file):
                 outputnode,
                 [
                     ("outputnode.FA_file", "out_dtifit_FA"),
+                    ("outputnode.MD_file", "out_dtifit_MD"),
+                    ("outputnode.AD_file", "out_dtifit_AD"),
+                    ("outputnode.RD_file", "out_dtifit_RD"),
                     ("outputnode.V1_file", "out_dtifit_V1"),
                     ("outputnode.sse_file", "out_dtifit_sse"),
                 ],
diff --git a/dmriprep/workflows/dwi/outputs.py b/dmriprep/workflows/dwi/outputs.py
index baff655c..ebaa090e 100644
--- a/dmriprep/workflows/dwi/outputs.py
+++ b/dmriprep/workflows/dwi/outputs.py
@@ -24,6 +24,9 @@ def init_output_wf(subject_id, session_id, output_folder):
                 "eddy_quad_json",
                 "eddy_quad_pdf",
                 "dtifit_FA",
+                "dtifit_MD",
+                "dtifit_AD",
+                "dtifit_RD",
                 "dtifit_V1",
                 "dtifit_sse",
                 "noise",
@@ -77,6 +80,8 @@ def build_path(output_folder, subject_id, session_id):
                     ("dtifit_MD", "@result.@md"),
                     ("dtifit_AD", "@result.@ad"),
                     ("dtifit_RD", "@result.@rd"),
+                    ("dtifit_V1", "@result.@v1"),
+                    ("dtifit_sse", "@result.@sse"),
                 ],
             ),
         ]
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
index 6223da86..a639132a 100644
--- a/dmriprep/workflows/dwi/tensor.py
+++ b/dmriprep/workflows/dwi/tensor.py
@@ -17,7 +17,7 @@ def init_tensor_wf():
 
     outputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["FA_file", "MD_file", "AD_file", "RD_file", "sse_file", "V1_file"]
+            fields=["FA_file", "MD_file", "AD_file", "RD_file", "V1_file", "sse_file"]
         ),
         name="outputnode",
     )
@@ -50,8 +50,8 @@ def init_tensor_wf():
                     ("FA", "FA_file"),
                     ("MD", "MD_file"),
                     ("L1", "AD_file"),
-                    ("sse", "sse_file"),
                     ("V1", "V1_file"),
+                    ("sse", "sse_file"),
                 ],
             ),
         ]
diff --git a/requirements.txt b/requirements.txt
index a899a967..43ffe4c3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,10 +1,10 @@
 Click>=7.0
-dipy==0.16.0
+dipy==1.0.0
 duecredit==0.7.0
 nipype==1.2.0
 pandas==0.25.0
 parse==1.12.0
-tqdm==4.32.2
-pybids==0.9.2
+tqdm==4.33.0
+pybids==0.9.3
 matplotlib==3.1.1
-numba==0.45.0
+numba==0.45.1
diff --git a/setup.cfg b/setup.cfg
index 0e1fbcc2..26a6be1c 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -63,7 +63,6 @@ docs =
     %(doc)s
 duecredit = duecredit
 resmon =
-sentry = sentry-sdk >=0.6.9
 tests =
     coverage
     codecov
@@ -72,7 +71,6 @@ all =
     %(datalad)s
     %(doc)s
     %(duecredit)s
-    %(sentry)s
     %(tests)s
 
 [options.package_data]

From d585f8a1d3b0607367294366f34d1fdfb13cb857 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 06:33:19 -0400
Subject: [PATCH 121/156] remove tbss and update docs

---
 dmriprep/cli.py                    | 22 +++-------------------
 dmriprep/workflows/base.py         | 12 ++++++------
 dmriprep/workflows/dwi/__init__.py | 19 +++++++++++++++++++
 dmriprep/workflows/dwi/base.py     | 29 ++++++++++++++++++++++++++++-
 long_description.rst               |  2 +-
 5 files changed, 57 insertions(+), 27 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index f5645071..2609305e 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -34,9 +34,7 @@ def __init__(
         omp_nthreads,
         eddy_niter,
         synb0_dir,
-        acqp_file,
-        tbss,
-        diffusivity_meas,
+        acqp_file
     ):
 
         self.layout = layout
@@ -54,8 +52,6 @@ def __init__(
         self.eddy_niter = eddy_niter
         self.synb0_dir = synb0_dir
         self.acqp_file = acqp_file
-        self.tbss = (tbss,)
-        self.diffusivity_meas = diffusivity_meas
 
 
 @click.command()
@@ -155,14 +151,6 @@ def __init__(
     help="working directory",
     type=click.Path(exists=True, file_okay=False, writable=True),
 )
-@click.option("--tbss", help="Run TBSS", is_flag=True)
-@click.option(
-    "--diffusivity_meas",
-    help="Specify which measures to calculate.",
-    default=("FA",),
-    type=click.Choice(["FA", "MD", "AD", "RD"]),
-    multiple=True,
-)
 @click.option(
     "--synb0_dir",
     default=None,
@@ -184,9 +172,7 @@ def main(
     omp_nthreads,
     eddy_niter,
     synb0_dir,
-    acqp_file,
-    tbss,
-    diffusivity_meas,
+    acqp_file
 ):
     """
     BIDS_DIR: The directory with the input dataset formatted according to the
@@ -238,9 +224,7 @@ def main(
         omp_nthreads=omp_nthreads,
         eddy_niter=eddy_niter,
         synb0_dir=synb0_dir,
-        acqp_file=acqp_file,
-        tbss=tbss,
-        diffusivity_meas=list(diffusivity_meas),
+        acqp_file=acqp_file
     )
 
     wf = init_dmriprep_wf(parameters)
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index d21c1643..d81476c7 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -25,7 +25,7 @@ def init_dmriprep_wf(parameters):
         single_subject_wf = init_single_subject_wf(
             subject_id=subject_id,
             name="single_subject_" + subject_id + "_wf",
-            parameters=parameters,
+            parameters=parameters
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
@@ -47,7 +47,7 @@ def init_single_subject_wf(subject_id, name, parameters):
         datatype="dwi",
         suffix="dwi",
         extensions=[".nii", ".nii.gz"],
-        return_type="filename",
+        return_type="filename"
     )
 
     if not dwi_files:
@@ -69,12 +69,12 @@ def init_single_subject_wf(subject_id, name, parameters):
             subject_id=subject_id,
             dwi_file=dwi_file,
             metadata=metadata,
-            parameters=parameters,
+            parameters=parameters
         )
         datasink_wf = init_output_wf(
             subject_id=subject_id,
             session_id=session_id,
-            output_folder=parameters.output_dir,
+            output_folder=parameters.output_dir
         )
 
         dwi_preproc_wf.base_dir = os.path.join(
@@ -120,8 +120,8 @@ def init_single_subject_wf(subject_id, name, parameters):
                         ("outputnode.out_dtifit_FA", "inputnode.dtifit_FA"),
                         ("outputnode.out_dtifit_V1", "inputnode.dtifit_V1"),
                         ("outputnode.out_dtifit_sse", "inputnode.dtifit_sse"),
-                        ("outputnode.out_noise", "inputnode.noise"),
-                    ],
+                        ("outputnode.out_noise", "inputnode.noise")
+                    ]
                 )
             ]
         )
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 9240bb25..32960163 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -1,6 +1,25 @@
 #!/usr/bin/env python
 
+"""
+
+Pre-processing dMRI workflows
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. automodule:: dmriprep.workflows.dwi.base
+.. automodule:: dmriprep.workflows.dwi.prep_dwi
+.. automodule:: dmriprep.workflows.dwi.tensor
+.. automodule:: dmriprep.workflows.dwi.outputs
+
+"""
+
 from .base import init_dwi_preproc_wf
 from .prep_dwi import init_prep_dwi_wf
 from .tensor import init_tensor_wf
 from .outputs import init_output_wf
+
+__all__ = [
+    "init_dwi_preproc_wf",
+    "init_prep_dwi_wf",
+    "init_tensor_wf",
+    "init_output_wf"
+]
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index a136c14a..d98006d3 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -4,6 +4,8 @@
 Orchestrating the dwi preprocessing workflows
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
+.. autofunction:: init_dwi_preproc_wf
+
 """
 
 from bids import BIDSLayout
@@ -52,7 +54,16 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
     #     synb0,
     # )
 
-    dwi_wf = pe.Workflow(name="dwi_preproc_wf")
+    multiple_runs = isinstance(dwi_file, list)
+
+    if multiple_runs:
+        ref_file = dwi_file[0]
+    else:
+        ref_file = dwi_file
+
+    wf_name = _get_wf_name(ref_file)
+
+    dwi_wf = pe.Workflow(name=wf_name)
 
     inputnode = pe.Node(
         niu.IdentityInterface(
@@ -419,3 +430,19 @@ def get_b0_mask_fn(b0_file):
     )
 
     return dwi_wf
+
+
+def _get_wf_name(dwi_fname):
+    """
+    Derives the workflow name from the supplied dwi file.
+    """
+
+    from nipype.utils.filemanip import split_filename
+
+    fname = split_filename(dwi_fname)[1]
+    fname_nosub = "_".join(fname.split("_")[1:])
+    name = "func_preproc_" + fname_nosub.replace(".", "_").replace(" ", "").replace(
+        "-", "_"
+    ).replace("_dwi", "_wf")
+
+    return name
diff --git a/long_description.rst b/long_description.rst
index 24ac39c9..696b2a12 100644
--- a/long_description.rst
+++ b/long_description.rst
@@ -28,4 +28,4 @@ segmentation, skullstripping etc.) providing outputs that can be
 easily submitted to a variety of tractography algorithms.
 
 [Documentation `dmriprep.org <https://dmriprep.readthedocs.io>`_]
-[Support `neurostars.org <https://neurostars.org/tags/fmriprep>`_]
+[Support `neurostars.org <https://neurostars.org/tags/dmriprep>`_]

From 7272a5f5ce1d374b6c129d99ef3207765fd1cd33 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 13:37:21 -0400
Subject: [PATCH 122/156] update docs

---
 AUTHORS.rst                        | 10 +++----
 CHANGES.rst                        | 19 +++++++++++--
 Makefile                           |  8 +++++-
 README.rst                         |  1 +
 dmriprep/workflows/base.py         | 35 ++++++++++++++++++++++++
 dmriprep/workflows/dwi/base.py     |  2 +-
 dmriprep/workflows/dwi/prep_dwi.py | 44 +++++++++++++++++++++++++++---
 docs/changes.rst                   |  2 +-
 docs/conf.py                       |  7 +++--
 docs/dmriprep.interfaces.rst       | 16 +++++++++++
 docs/dmriprep.rst                  |  1 +
 docs/dmriprep.viz.rst              | 22 +++++++++++++++
 docs/dmriprep.workflows.dwi.rst    | 26 ++++++++++++------
 docs/index.rst                     |  1 +
 14 files changed, 168 insertions(+), 26 deletions(-)
 create mode 100644 docs/dmriprep.viz.rst

diff --git a/AUTHORS.rst b/AUTHORS.rst
index 3a09d43f..ed2ea490 100644
--- a/AUTHORS.rst
+++ b/AUTHORS.rst
@@ -5,12 +5,12 @@ Credits
 Development Leads
 -----------------
 
-- Anisha Keshavan <keshavan@berkeley.edu> [Corresponding developer]
-- Adam Richie-Halford <richiehalford@gmail.com>
+- _Anisha Keshavan: keshavan@berkeley.edu [Corresponding developer]
+- _Adam Richie-Halford: richiehalford@gmail.com>
 
 Contributors
 ------------
 
-- Ariel Rokem <arokem@uw.edu>
-- Michael Joseph <michael.joseph@camh.ca>
-- Salim Mansour <salim.mansour@camh.ca>
+- _Ariel Rokem: arokem@uw.edu
+- _Michael Joseph: michael.joseph@camh.ca
+- _Salim Mansour: salim.mansour@camh.ca
diff --git a/CHANGES.rst b/CHANGES.rst
index fa105cb7..1fef9251 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -1,5 +1,18 @@
-0.1.0 (2018-09-06)
-==================
+Upcoming release (TBD)
+======================
 
-* First release on GitHub.
+0.2.0 (August 20, 2019)
+=======================
 
+  * ENH: Add ``collect_participants`` and ``validate_input_dir`` functions (taken from niworkflows)
+  * ENH: Add ``dwidenoise``, ``mrdegibbs``, ``mrresize``, and ``dwibiascorrect`` from Mrtrix3 as preprocessing steps for the dwi images
+  * ENH: Add workflow for using a synthetic b0 as a reverse PE image for topup
+  * ENH: Add workflows for dealing with fieldmap, phasediff and phase1/phase2 scans (taken from sdcflows)
+  * ENH: Switch crash logs from pickle to text files for easier reading by the user
+  * MAINT: Migrate to a setup.cfg style of installation
+  * ENH: Refactor ``run_dmriprep_pe`` workflow into a single subject workflow with separate sub-workflows for dwi and fieldmap pre-processing
+
+0.1.0 (September 6, 2018)
+=========================
+
+  * First release on GitHub.
diff --git a/Makefile b/Makefile
index 7f76d452..f5d45aff 100644
--- a/Makefile
+++ b/Makefile
@@ -66,7 +66,7 @@ coverage: ## check code coverage quickly with the default Python
 	$(BROWSER) htmlcov/index.html
 
 docs: ## generate Sphinx HTML documentation, including API docs
-	rm -f docs/dmriprep.rst
+	rm -f docs/dmriprep*.rst
 	rm -f docs/modules.rst
 	sphinx-apidoc -o docs/ dmriprep
 	$(MAKE) -C docs clean
@@ -86,3 +86,9 @@ dist: clean ## builds source and wheel package
 
 install: clean ## install the package to the active Python's site-packages
 	python setup.py install
+
+docker-dev: ## build the development environment
+	docker build -t dmriprep:dev -f docker/Dockerfile docker/.
+
+docker: docker-dev
+	docker build -t dmriprep:prod -f Dockerfile-dmriprep .
diff --git a/README.rst b/README.rst
index de3acd55..171acd4a 100644
--- a/README.rst
+++ b/README.rst
@@ -52,3 +52,4 @@ Credits
 -------
 
 This package was created with `Cookiecutter <https://github.com/audreyr/cookiecutter>`_ and the `audreyr/cookiecutter-pypackage <https://github.com/audreyr/cookiecutter-pypackage>`_ project template.
+Several pieces of code have been taken from `fmriprep <https://github.com/poldracklab/fmriprep>`_, `niworkflows <https://github.com/poldracklab/niworkflows>`_ and `sdcflows <https://github.com/poldracklab/sdcflows>`_.
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index d81476c7..bd278f4e 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -17,6 +17,19 @@
 
 
 def init_dmriprep_wf(parameters):
+    """
+    This workflow organizes the execusion of dMRIPrep, with a sub-workflow for
+    each subject.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+    wf = init_dmriprep_wf()
+
+    Parameters
+
+    """
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
     dmriprep_wf.base_dir = parameters.work_dir
 
@@ -31,6 +44,9 @@ def init_dmriprep_wf(parameters):
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
             parameters.output_dir, "dmriprep", "sub-" + subject_id, "log"
         )
+        single_subject_wf.config["execution"]["remove_unnecessary_outputs"] = False
+        single_subject_wf.config["execution"]["keep_inputs"] = True
+        single_subject_wf.config["execution"]["crashfile_format"] = "txt"
 
         for node in single_subject_wf._get_all_nodes():
             node.config = deepcopy(single_subject_wf.config)
@@ -41,6 +57,25 @@ def init_dmriprep_wf(parameters):
 
 
 def init_single_subject_wf(subject_id, name, parameters):
+    """
+    This workflow organizes the preprocessing pipeline for a single subject.
+    It collects and reports information about the subject, and prepares
+    sub-workflows to perform diffusion preprocessing.
+
+    Diffusion preprocessing is performed using a separate workflow for each
+    individual dwi series.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+    wf = init_single_subject_wf()
+
+    Parameters
+
+    Inputs
+
+    """
 
     dwi_files = parameters.layout.get(
         subject=subject_id,
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index d98006d3..7874c494 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -441,7 +441,7 @@ def _get_wf_name(dwi_fname):
 
     fname = split_filename(dwi_fname)[1]
     fname_nosub = "_".join(fname.split("_")[1:])
-    name = "func_preproc_" + fname_nosub.replace(".", "_").replace(" ", "").replace(
+    name = "dwi_preproc_" + fname_nosub.replace(".", "_").replace(" ", "").replace(
         "-", "_"
     ).replace("_dwi", "_wf")
 
diff --git a/dmriprep/workflows/dwi/prep_dwi.py b/dmriprep/workflows/dwi/prep_dwi.py
index e8d2f14b..a72bb836 100644
--- a/dmriprep/workflows/dwi/prep_dwi.py
+++ b/dmriprep/workflows/dwi/prep_dwi.py
@@ -1,8 +1,10 @@
 # -*- coding: utf-8 -*-
 
 """
-Denoising, unringing and resampling of dwi images
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Artefact removal and resampling dwi images
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_prep_dwi_wf
 
 """
 
@@ -10,9 +12,43 @@
 from nipype.interfaces import mrtrix3, utility as niu
 
 
-def init_prep_dwi_wf(ignore, output_resolution):
+def init_prep_dwi_wf(ignore, output_resolution, name="prep_dwi_wf"):
+    """
+    This workflow performs denoises and unrings the inputs dwi image and optionally
+    resamples the image to the desired output resolution.
+
+    Denoising is done using Mrtrix3 using the MP-PCA algorithm [Veraart2016_].
+    Unringing is done using Mrtrix3 [Kellner2016]_.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+        from dmriprep.workflows.dwi import init_prep_dwi_wf
+        wf = init_prep_dwi_wf(ignore=[], output_resolution=(1, 1, 1))
+
+    **Parameters**
+
+        ignore : list
+            List of artefact removal steps to skip (default: None)
+        output_resolution : tuple
+            Tuple defining the new voxel size for the output image in the x, y, and z dimensions
+        name : str
+            Name of workflow (default: ``prep_dwi_wf``)
+
+    **Inputs**
+
+        dwi_file
+            dwi NIfTI file
+
+    **Outputs**
+
+        out_file
+            dwi NIfTI file after artefact removal and resizing
+
+    """
 
-    prep_dwi_wf = pe.Workflow(name="prep_dwi_wf")
+    prep_dwi_wf = pe.Workflow(name=name)
 
     inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
 
diff --git a/docs/changes.rst b/docs/changes.rst
index a7365124..1a4f845b 100644
--- a/docs/changes.rst
+++ b/docs/changes.rst
@@ -2,4 +2,4 @@
 What's new
 ----------
 
-.. includes:: ../CHANGES.rst
+.. include:: ../CHANGES.rst
diff --git a/docs/conf.py b/docs/conf.py
index c4d258ba..f51cd5be 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -36,9 +36,12 @@
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
 extensions = [
     "sphinx.ext.autodoc",
+    "sphinx.ext.doctest",
+    "sphinx.ext.intersphinx",
     "sphinx.ext.viewcode",
-    "sphinx.ext.napoleon",
-    "sphinx_click.ext",
+    "sphinx.ext.napoleon",  # support for reading numpy and Google style docstrings
+    "sphinx_click.ext",  # click extension
+    "nipype.sphinxext.plot_workflow"  # nipype extension to plot workflows
 ]
 
 # Add any paths that contain templates here, relative to this directory.
diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
index a7517461..156eb312 100644
--- a/docs/dmriprep.interfaces.rst
+++ b/docs/dmriprep.interfaces.rst
@@ -12,6 +12,14 @@ dmriprep.interfaces.fmap module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.interfaces.fsl module
+------------------------------
+
+.. automodule:: dmriprep.interfaces.fsl
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.interfaces.mrtrix3 module
 ----------------------------------
 
@@ -20,6 +28,14 @@ dmriprep.interfaces.mrtrix3 module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.interfaces.reportlets module
+-------------------------------------
+
+.. automodule:: dmriprep.interfaces.reportlets
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 
 Module contents
 ---------------
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
index e200e01e..89e3feca 100644
--- a/docs/dmriprep.rst
+++ b/docs/dmriprep.rst
@@ -8,6 +8,7 @@ Subpackages
 
    dmriprep.interfaces
    dmriprep.utils
+   dmriprep.viz
    dmriprep.workflows
 
 Submodules
diff --git a/docs/dmriprep.viz.rst b/docs/dmriprep.viz.rst
new file mode 100644
index 00000000..d972ce7a
--- /dev/null
+++ b/docs/dmriprep.viz.rst
@@ -0,0 +1,22 @@
+dmriprep.viz package
+====================
+
+Submodules
+----------
+
+dmriprep.viz.utils module
+-------------------------
+
+.. automodule:: dmriprep.viz.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.viz
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
index dad5e173..ccd46cb2 100644
--- a/docs/dmriprep.workflows.dwi.rst
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -12,10 +12,10 @@ dmriprep.workflows.dwi.base module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.denoise module
--------------------------------------
+dmriprep.workflows.dwi.eddy module
+----------------------------------
 
-.. automodule:: dmriprep.workflows.dwi.denoise
+.. automodule:: dmriprep.workflows.dwi.eddy
    :members:
    :undoc-members:
    :show-inheritance:
@@ -28,10 +28,18 @@ dmriprep.workflows.dwi.outputs module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.remove\_artefacts module
------------------------------------------------
+dmriprep.workflows.dwi.prep\_dwi module
+---------------------------------------
 
-.. automodule:: dmriprep.workflows.dwi.remove_artefacts
+.. automodule:: dmriprep.workflows.dwi.prep_dwi
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+dmriprep.workflows.dwi.qc module
+--------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.qc
    :members:
    :undoc-members:
    :show-inheritance:
@@ -52,10 +60,10 @@ dmriprep.workflows.dwi.tensor module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.unring module
-------------------------------------
+dmriprep.workflows.dwi.util module
+----------------------------------
 
-.. automodule:: dmriprep.workflows.dwi.unring
+.. automodule:: dmriprep.workflows.dwi.util
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/docs/index.rst b/docs/index.rst
index a4451320..09acc4f2 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -13,6 +13,7 @@
    sdc
    outputs
    contributing
+   authors
 
 Indices and tables
 ==================

From 12f4ce45e88abd3a45a26405b1a327b313cc43d4 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 14:10:44 -0400
Subject: [PATCH 123/156] remove tbss into separate pipeline apart from
 dmriprep

---
 .../data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz  | Bin 3597008 -> 0 bytes
 .../ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz  | Bin 100759 -> 0 bytes
 .../ENIGMA_DTI_FA_skeleton.nii.gz             | Bin 475000 -> 0 bytes
 .../ENIGMA_DTI_FA_skeleton_mask.nii.gz        | Bin 152076 -> 0 bytes
 .../ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz    | Bin 937282 -> 0 bytes
 dmriprep/workflows/dwi/tbss.py                |  38 ------------------
 6 files changed, 38 deletions(-)
 delete mode 100755 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz
 delete mode 100644 dmriprep/workflows/dwi/tbss.py

diff --git a/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz b/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
deleted file mode 100755
index e38863a85ec8d2fa8f770b1ea5444f1205ac6f4c..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/dmriprep/workflows/dwi/tbss.py b/dmriprep/workflows/dwi/tbss.py
deleted file mode 100644
index a8a64b01..00000000
--- a/dmriprep/workflows/dwi/tbss.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# -*- coding: utf-8 -*-
-
-# https://github.com/Conxz/BIT/blob/1ee7bbff345aba9d53b1349290f9fbdcbad1c3d0/bit/tbss_4steps_NKI.py
-
-import os
-
-from nipype.interfaces import io as nio, fsl, utility as niu
-from nipype.pipeline import engine as pe
-from nipype.workflows.dmri.fsl import tbss
-
-
-def init_tbss_wf():
-    def get_fa_list(subject_list):
-        fa_list = []
-        for subject_id in subject_list:
-            fa_list.append(os.path.join(subject_id + "_FA"))
-        return fa_list
-
-    tbss_source = pe.Node(
-        interface=nio.DataGrabber(outfiles=["fa_list"]), name="tbss_source"
-    )
-    tbss_source.inputs.base_directory = os.path.abspath(sessdir)
-    tbss_source.inputs.sort_filelist = True
-    tbss_source.inputs.template = "%s.nii.gz"
-    tbss_source.inputs.template_args = dict(
-        fa_list=[[getFAList(subject_list)]]
-    )
-
-    tbss1 = tbss.create_tbss_1_preproc(name="tbss1")
-
-    tbss2 = tbss.create_tbss_2_reg(name="tbss2")
-    tbss2.inputs.inputnode.target = fsl.Info.standard_image(
-        "FMRIB58_FA_1mm.nii.gz"
-    )
-
-    tbss3 = tbss.create_tbss_3_postreg(name="tbss3", estimate_skeleton=True)
-
-    tbss4 = tbss.create_tbss_4_prestats(name="tbss4")

From b827b73701bd0b81c0c1b1f0a011e901275c27f9 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 16:28:07 -0400
Subject: [PATCH 124/156] replace authors with zenodo

---
 AUTHORS.rst      | 16 ----------------
 docs/authors.rst |  1 -
 docs/index.rst   |  1 -
 3 files changed, 18 deletions(-)
 delete mode 100644 AUTHORS.rst
 delete mode 100644 docs/authors.rst

diff --git a/AUTHORS.rst b/AUTHORS.rst
deleted file mode 100644
index ed2ea490..00000000
--- a/AUTHORS.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-=======
-Credits
-=======
-
-Development Leads
------------------
-
-- _Anisha Keshavan: keshavan@berkeley.edu [Corresponding developer]
-- _Adam Richie-Halford: richiehalford@gmail.com>
-
-Contributors
-------------
-
-- _Ariel Rokem: arokem@uw.edu
-- _Michael Joseph: michael.joseph@camh.ca
-- _Salim Mansour: salim.mansour@camh.ca
diff --git a/docs/authors.rst b/docs/authors.rst
deleted file mode 100644
index e122f914..00000000
--- a/docs/authors.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../AUTHORS.rst
diff --git a/docs/index.rst b/docs/index.rst
index 09acc4f2..a4451320 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -13,7 +13,6 @@
    sdc
    outputs
    contributing
-   authors
 
 Indices and tables
 ==================

From 30b427d0ca6ea58fcbab3ae0460c1f683ffa6216 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 18:23:51 -0400
Subject: [PATCH 125/156] change repo path to nipy

---
 docs/installation.rst | 10 +++++-----
 docs/license.rst      |  2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/docs/installation.rst b/docs/installation.rst
index 30a79118..2c94a180 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -9,7 +9,7 @@ Docker Container
 
 .. code-block:: console
 
-    $ git clone https://github.com/josephmje/dmriprep
+    $ git clone https://github.com/nipy/dmriprep
     $ cd dmriprep
     $ make docker
 
@@ -67,13 +67,13 @@ You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/josephmje/dmriprep
+    $ git clone git://github.com/nipy/dmriprep
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/josephmje/dmriprep/tarball/master
+    $ curl  -OL https://github.com/nipy/dmriprep/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -82,8 +82,8 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/josephmje/dmriprep
-.. _tarball: https://github.com/josephmje/dmriprep/tarball/master
+.. _Github repo: https://github.com/nipy/dmriprep
+.. _tarball: https://github.com/nipy/dmriprep/tarball/master
 
 External Dependencies
 ---------------------
diff --git a/docs/license.rst b/docs/license.rst
index 7f0fbaf3..1f5a2b16 100644
--- a/docs/license.rst
+++ b/docs/license.rst
@@ -2,7 +2,7 @@ License information
 -------------------
 
 We use the 3-clause BSD license; the full license may be found in the
-`LICENSE <https://github.com/josephmje/dmriprep/blob/master/LICENSE>`_ file
+`LICENSE <https://github.com/nipy/dmriprep/blob/master/LICENSE>`_ file
 in the ``dmriprep`` distribution.
 
 All trademarks referenced herein are property of their respective holders.

From 53b2d91b3a2dfb195a2f46ba97ac2e41d901af0d Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 18:24:05 -0400
Subject: [PATCH 126/156] add zenodo

---
 .zenodo.json          | 34 +++++++++++++++++++++++++++
 dmriprep/__about__.py | 17 ++++++++++++++
 dmriprep/__init__.py  | 53 +++++--------------------------------------
 3 files changed, 57 insertions(+), 47 deletions(-)
 create mode 100644 .zenodo.json
 create mode 100644 dmriprep/__about__.py

diff --git a/.zenodo.json b/.zenodo.json
new file mode 100644
index 00000000..c5d8be1a
--- /dev/null
+++ b/.zenodo.json
@@ -0,0 +1,34 @@
+{
+    "title": "dMRIPrep: a robust preprocessing pipeline for diffusion MRI",
+    "description": "<p>dMRIPrep is a robust and easy-to-use pipeline for preprocessing of dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.</p>",
+    "creators": [
+    {
+    "name": "Richie-Halford, Adam",
+    "affiliation": "University of Washington",
+    "orcid": "0000-0001-9276-9084"
+    },
+    {
+    "name": "Rokem, Ariel",
+    "affiliation": "The University of Washington eScience Institute",
+    "orcid": "0000-0003-0679-1985"
+    },
+    {
+    "name": "Yeatman, Jason",
+    "affiliation": "Stanford University",
+    "orcid": "0000-0002-2686-1293"
+    },
+    {
+    "name": "Joseph, Michael",
+    "affiliation": "The Centre for Addiction and Mental Health",
+    "orcid": "0000-0002-0068-230X"
+    },
+    {
+    "name": "Mansour, Salim",
+    "affiliation": "The Centre for Addiction and Mental Health"
+    },
+    {
+    "name": "Keshavan, Anisha",
+    "affiliation": "Child Mind Institute",
+    "orcid": "0000-0003-3554-043X"
+    }
+]
diff --git a/dmriprep/__about__.py b/dmriprep/__about__.py
new file mode 100644
index 00000000..c7dcb1e8
--- /dev/null
+++ b/dmriprep/__about__.py
@@ -0,0 +1,17 @@
+"""
+Base module variables
+"""
+from ._version import get_versions
+__version__ = get_versions()['version']
+del get_versions
+
+__packagename__ = "dmriprep"
+__credits__ = ("Contributors: please check the ``.zenodo.json`` file at the"
+               "top-level folder of the repository")
+__url__ = "https://github.com/nipy/dmriprep"
+
+DOWNLOAD_URL = (
+    "https://github.com/nipy/dmriprep/{name}/archive/{ver}.tar.gz".format(
+        name=__packagename__, ver=__version__
+    )
+)
diff --git a/dmriprep/__init__.py b/dmriprep/__init__.py
index 6f7e1e9d..25da16c1 100644
--- a/dmriprep/__init__.py
+++ b/dmriprep/__init__.py
@@ -1,58 +1,17 @@
+#!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
 """Top-level package for dmriprep."""
 
-__author__ = """Anisha Keshavan"""
-__email__ = "anishakeshavan@fmail.com"
-__version__ = "0.1.0"
+from .__about__ import (
+    __version__,
+    __credits__,
+    __packagename__
+)
 
-import errno
-import logging
-import os
 import warnings
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
 warnings.filterwarnings("ignore", message="numpy.dtype size changed")
 warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
-
-from . import qc
-
-module_logger = logging.getLogger(__name__)
-
-# get the log level from environment variable
-if "DMIRPREP_LOGLEVEL" in os.environ:
-    loglevel = os.environ["DMRIPREP_LOGLEVEL"]
-    module_logger.setLevel(getattr(logging, loglevel.upper()))
-else:
-    module_logger.setLevel(logging.WARNING)
-
-# create a file handler
-logpath = os.path.join(os.path.expanduser("~"), ".dmriprep", "dmriprep.log")
-
-# Create the config directory if it doesn't exist
-logdir = os.path.dirname(logpath)
-try:
-    os.makedirs(logdir)
-except OSError as e:
-    pre_existing = e.errno == errno.EEXIST and os.path.isdir(logdir)
-    if pre_existing:
-        pass
-    else:
-        raise e
-
-handler = logging.FileHandler(logpath, mode="w")
-handler.setLevel(logging.DEBUG)
-
-# create a logging format
-formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
-handler.setFormatter(formatter)
-
-# add the handlers to the logger
-module_logger.addHandler(handler)
-module_logger.info("Started new dmriprep session")
-
-from ._version import get_versions
-
-__version__ = get_versions()["version"]
-del get_versions

From 20a2201f5fc32fe3ba332c4bfc1d0d5e0d92e6d7 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 18:24:59 -0400
Subject: [PATCH 127/156] replace parameters class with variables for
 documentation

---
 dmriprep/cli.py            | 61 +++++-----------------------
 dmriprep/workflows/base.py | 83 +++++++++++++++++++++++++++++---------
 2 files changed, 73 insertions(+), 71 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 2609305e..f56fc7cd 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -4,9 +4,9 @@
 import os
 import sys
 import warnings
-from bids import BIDSLayout
 
 import click
+from bids import BIDSLayout
 
 from .utils.bids import collect_participants
 from .workflows.base import init_dmriprep_wf
@@ -16,44 +16,6 @@
 warnings.filterwarnings("ignore", message="numpy.dtype size changed")
 warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
 
-
-class Parameters:
-    def __init__(
-        self,
-        layout,
-        subject_list,
-        bids_dir,
-        output_dir,
-        analysis_level,
-        work_dir,
-        ignore,
-        b0_thresh,
-        output_resolution,
-        bet_dwi,
-        bet_mag,
-        omp_nthreads,
-        eddy_niter,
-        synb0_dir,
-        acqp_file
-    ):
-
-        self.layout = layout
-        self.subject_list = subject_list
-        self.bids_dir = bids_dir
-        self.output_dir = output_dir
-        self.analysis_level = analysis_level
-        self.work_dir = work_dir
-        self.ignore = ignore
-        self.b0_thresh = b0_thresh
-        self.output_resolution = output_resolution
-        self.bet_dwi = bet_dwi
-        self.bet_mag = bet_mag
-        self.omp_nthreads = omp_nthreads
-        self.eddy_niter = eddy_niter
-        self.synb0_dir = synb0_dir
-        self.acqp_file = acqp_file
-
-
 @click.command()
 # arguments as specified by BIDS-Apps
 @click.argument("bids_dir", type=click.Path(exists=True, file_okay=False))
@@ -65,7 +27,11 @@ def __init__(
 )
 # optional arguments
 # options for filtering BIDS queries
-@click.option("--skip_bids_validation", help="Skip BIDS validation", is_flag=True)
+@click.option(
+    "--skip_bids_validation",
+    help="Assume the input dataset is BIDS compliant and skip the validation",
+    is_flag=True
+)
 @click.option(
     "--participant_label",
     default=None,
@@ -74,7 +40,7 @@ def __init__(
     "sub-<participant_label> from the BIDS spec (the 'sub-' "
     "prefix can be removed). If this parameter is not provided "
     "all subjects will be analyzed. Multiple participants "
-    "can be specified with a space delimited list.",
+    "can be specified with a space delimited list."
 )
 # options for prepping dwi scans
 # @click.option(
@@ -208,13 +174,10 @@ def main(
     if len(output_resolution) == 1:
         output_resolution = output_resolution * 3
 
-    # Set parameters based on CLI, pass through object
-    parameters = Parameters(
-        layout=layout,
+    wf = init_dmriprep_wf(
         subject_list=subject_list,
-        bids_dir=bids_dir,
+        layout=layout,
         output_dir=output_dir,
-        analysis_level=analysis_level,
         work_dir=work_dir,
         ignore=list(ignore),
         b0_thresh=b0_thresh,
@@ -222,12 +185,8 @@ def main(
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
         omp_nthreads=omp_nthreads,
-        eddy_niter=eddy_niter,
-        synb0_dir=synb0_dir,
-        acqp_file=acqp_file
+        synb0_dir=synb0_dir
     )
-
-    wf = init_dmriprep_wf(parameters)
     wf.write_graph()
     wf.config["execution"]["remove_unnecessary_outputs"] = False
     wf.config["execution"]["keep_inputs"] = True
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index bd278f4e..e0205b11 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -13,10 +13,22 @@
 from copy import deepcopy
 
 from nipype.pipeline import engine as pe
-from .dwi import init_dwi_preproc_wf, init_output_wf
-
-
-def init_dmriprep_wf(parameters):
+from .dwi import init_dwi_preproc_wf, init_dwi_derivatives_wf
+
+
+def init_dmriprep_wf(
+    subject_list,
+    layout,
+    output_dir,
+    work_dir,
+    ignore,
+    b0_thresh,
+    output_resolution,
+    bet_dwi,
+    bet_mag,
+    omp_nthreads,
+    synb0_dir
+):
     """
     This workflow organizes the execusion of dMRIPrep, with a sub-workflow for
     each subject.
@@ -31,18 +43,27 @@ def init_dmriprep_wf(parameters):
 
     """
     dmriprep_wf = pe.Workflow(name="dmriprep_wf")
-    dmriprep_wf.base_dir = parameters.work_dir
+    dmriprep_wf.base_dir = work_dir
 
-    for subject_id in parameters.subject_list:
+    for subject_id in subject_list:
 
         single_subject_wf = init_single_subject_wf(
             subject_id=subject_id,
             name="single_subject_" + subject_id + "_wf",
-            parameters=parameters
+            layout=layout,
+            output_dir=output_dir,
+            work_dir=work_dir,
+            ignore=ignore,
+            b0_thresh=b0_thresh,
+            output_resolution=output_resolution,
+            bet_dwi=bet_dwi,
+            bet_mag=bet_mag,
+            omp_nthreads=omp_nthreads,
+            synb0_dir=synb0_dir
         )
 
         single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
-            parameters.output_dir, "dmriprep", "sub-" + subject_id, "log"
+            output_dir, "dmriprep", "sub-" + subject_id, "log"
         )
         single_subject_wf.config["execution"]["remove_unnecessary_outputs"] = False
         single_subject_wf.config["execution"]["keep_inputs"] = True
@@ -56,7 +77,20 @@ def init_dmriprep_wf(parameters):
     return dmriprep_wf
 
 
-def init_single_subject_wf(subject_id, name, parameters):
+def init_single_subject_wf(
+    subject_id,
+    name,
+    layout,
+    output_dir,
+    work_dir,
+    ignore,
+    b0_thresh,
+    output_resolution,
+    bet_dwi,
+    bet_mag,
+    omp_nthreads,
+    synb0_dir
+):
     """
     This workflow organizes the preprocessing pipeline for a single subject.
     It collects and reports information about the subject, and prepares
@@ -77,7 +111,7 @@ def init_single_subject_wf(subject_id, name, parameters):
 
     """
 
-    dwi_files = parameters.layout.get(
+    dwi_files = layout.get(
         subject=subject_id,
         datatype="dwi",
         suffix="dwi",
@@ -94,40 +128,49 @@ def init_single_subject_wf(subject_id, name, parameters):
     subject_wf = pe.Workflow(name=name)
 
     for dwi_file in dwi_files:
-        entities = parameters.layout.parse_file_entities(dwi_file)
+        entities = layout.parse_file_entities(dwi_file)
         if "session" in entities:
             session_id = entities["session"]
         else:
             session_id = None
-        metadata = parameters.layout.get_metadata(dwi_file)
+        metadata = layout.get_metadata(dwi_file)
         dwi_preproc_wf = init_dwi_preproc_wf(
             subject_id=subject_id,
             dwi_file=dwi_file,
             metadata=metadata,
-            parameters=parameters
+            layout=layout,
+            output_dir=output_dir,
+            work_dir=work_dir,
+            ignore=ignore,
+            b0_thresh=b0_thresh,
+            output_resolution=output_resolution,
+            bet_dwi=bet_dwi,
+            bet_mag=bet_mag,
+            omp_nthreads=omp_nthreads,
+            synb0_dir=synb0_dir
         )
-        datasink_wf = init_output_wf(
+        datasink_wf = init_dwi_derivatives_wf(
             subject_id=subject_id,
             session_id=session_id,
-            output_folder=parameters.output_dir
+            output_folder=output_dir
         )
 
         dwi_preproc_wf.base_dir = os.path.join(
-            os.path.abspath(parameters.work_dir), subject_id
+            os.path.abspath(work_dir), subject_id
         )
 
         inputspec = dwi_preproc_wf.get_node("inputnode")
         inputspec.inputs.subject_id = subject_id
         inputspec.inputs.dwi_file = dwi_file
         inputspec.inputs.dwi_meta = metadata
-        inputspec.inputs.bvec_file = parameters.layout.get_bvec(dwi_file)
-        inputspec.inputs.bval_file = parameters.layout.get_bval(dwi_file)
-        inputspec.inputs.out_dir = os.path.abspath(parameters.output_dir)
+        inputspec.inputs.bvec_file = layout.get_bvec(dwi_file)
+        inputspec.inputs.bval_file = layout.get_bval(dwi_file)
+        inputspec.inputs.out_dir = os.path.abspath(output_dir)
 
         ds_inputspec = datasink_wf.get_node("inputnode")
         ds_inputspec.inputs.subject_id = subject_id
         ds_inputspec.inputs.session_id = session_id
-        ds_inputspec.inputs.output_folder = parameters.output_dir
+        ds_inputspec.inputs.output_folder = output_dir
         ds_inputspec.inputs.metadata = metadata
 
         if session_id:

From 59ec828ded69d986529b65adfbe0e5aad42612e4 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 18:25:40 -0400
Subject: [PATCH 128/156] update dwi workflows

---
 dmriprep/workflows/dwi/__init__.py  |  17 +-
 dmriprep/workflows/dwi/artifacts.py |  99 ++++++++++
 dmriprep/workflows/dwi/base.py      | 125 ++++++++-----
 dmriprep/workflows/dwi/eddy.py      | 281 ++++------------------------
 dmriprep/workflows/dwi/outputs.py   |  10 +-
 dmriprep/workflows/dwi/prep_dwi.py  |  95 ----------
 dmriprep/workflows/dwi/tensor.py    |   4 +-
 dmriprep/workflows/dwi/util.py      |  14 ++
 docs/dmriprep.workflows.dwi.rst     |  24 +--
 9 files changed, 247 insertions(+), 422 deletions(-)
 create mode 100644 dmriprep/workflows/dwi/artifacts.py
 delete mode 100644 dmriprep/workflows/dwi/prep_dwi.py
 create mode 100644 dmriprep/workflows/dwi/util.py

diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 32960163..59937a5f 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -6,20 +6,23 @@
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. automodule:: dmriprep.workflows.dwi.base
-.. automodule:: dmriprep.workflows.dwi.prep_dwi
+.. automodule:: dmriprep.workflows.dwi.artifacts
+.. automodule:: dmriprep.workflows.dwi.eddy
 .. automodule:: dmriprep.workflows.dwi.tensor
 .. automodule:: dmriprep.workflows.dwi.outputs
 
 """
 
 from .base import init_dwi_preproc_wf
-from .prep_dwi import init_prep_dwi_wf
-from .tensor import init_tensor_wf
-from .outputs import init_output_wf
+from .artifacts import init_dwi_artifacts_wf
+from .eddy import init_dwi_eddy_wf
+from .tensor import init_dwi_tensor_wf
+from .outputs import init_dwi_derivatives_wf
 
 __all__ = [
     "init_dwi_preproc_wf",
-    "init_prep_dwi_wf",
-    "init_tensor_wf",
-    "init_output_wf"
+    "init_dwi_artifacts_wf",
+    "init_dwi_eddy_wf",
+    "init_dwi_tensor_wf",
+    "init_dwi_derivatives_wf"
 ]
diff --git a/dmriprep/workflows/dwi/artifacts.py b/dmriprep/workflows/dwi/artifacts.py
new file mode 100644
index 00000000..4c176fa3
--- /dev/null
+++ b/dmriprep/workflows/dwi/artifacts.py
@@ -0,0 +1,99 @@
+# -*- coding: utf-8 -*-
+
+"""
+Artefact removal
+^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_dwi_artifacts_wf
+
+"""
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_dwi_artifacts_wf(ignore):
+    """
+    This workflow performs denoising and unringing on the input dwi image.
+
+    Denoising is done using Mrtrix3's implementation of the MP-PCA
+    algorithm `[Veraart2016a_]` and `[Veraart2016b_]`.
+    Unringing is done using Mrtrix3  `[Kellner2016_]`.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+        from dmriprep.workflows.dwi import init_dwi_artifacts_wf
+        wf = init_dwi_artifacts_wf(ignore=[])
+
+    **Parameters**
+
+        ignore : list
+            List of artefact removal steps to skip (default: [])
+
+    **Inputs**
+
+        dwi_file
+            dwi NIfTI file
+
+    **Outputs**
+
+        out_file
+            dwi NIfTI file after artefact removal
+
+    References
+    ^^^^^^^^^^
+
+    .. [Veraart2016a] Veraart, J.; Novikov, D.S.; Christiaens, D.; Ades-aron, B.;
+                      Sijbers, J. & Fieremans, E. Denoising of diffusion MRI
+                      using random matrix theory. NeuroImage, 2016, 142, 394-406,
+                      doi: `10.1016/j.neuroimage.2016.08.016 <https://doi.org/10.1016/j.neuroimage.2016.08.016>`_.
+
+    .. [Veraart2016b] Veraart, J.; Fieremans, E. & Novikov, D.S. Diffusion MRI
+                      noise mapping using random matrix theory. Magn. Res. Med.,
+                      2016, 76(5), 1582-1593,
+                      doi: `10.1002/mrm.26059 <https://doi.org/10.1002/mrm.26059>`_.
+
+    .. [Kellner2016] Kellner, E; Dhital, B; Kiselev, V.G & Reisert, M.
+                     Gibbs-ringing artifact removal based on local subvoxel-shifts.
+                     Magnetic Resonance in Medicine, 2016, 76, 1574–1581,
+                     doi: `10.1002/mrm.26054 <https://doi.org/10.1002/mrm.26054>`_.
+
+    """
+
+    wf = pe.Workflow(name="dwi_artifacts_wf")
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
+
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+
+    if ignore == ["denoise"]:
+        wf.connect([
+            (inputnode, unring, [("dwi_file", "in_file")]),
+            (unring, outputnode, [("out_file", "out_file")])
+        ])
+
+    elif ignore == ["unring"]:
+        wf.connect([
+            (inputnode, denoise, [("dwi_file", "in_file")]),
+            (denoise, outputnode, [("out_file", "out_file")])
+        ])
+
+    elif ["denoise", "unring"] in ignore:
+        wf.connect([
+            (inputnode, outputnode, "dwi_file", "out_file")
+        ])
+
+    else:
+        wf.connect([
+            (inputnode, denoise, [("dwi_file", "in_file")]),
+            (denoise, unring, [("out_file", "in_file")]),
+            (unring, outputnode, [("out_file", "out_file")])
+        ])
+
+    return wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 7874c494..f7369077 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -10,49 +10,61 @@
 
 from bids import BIDSLayout
 from nipype.pipeline import engine as pe
-from nipype.interfaces import ants, fsl, mrtrix3, utility as niu
+from nipype.interfaces import fsl, mrtrix3, utility as niu
 from numba import cuda
 
-from .prep_dwi import init_prep_dwi_wf
-from .tensor import init_tensor_wf
+from .artifacts import init_dwi_artifacts_wf
+from .tensor import init_dwi_tensor_wf
 
-# from ..fieldmap.base import init_sdc_prep_wf
+from ..fieldmap.base import init_sdc_prep_wf
 
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
+def init_dwi_preproc_wf(
+    subject_id,
+    dwi_file,
+    metadata,
+    layout,
+    ignore,
+    b0_thresh,
+    output_resolution,
+    bet_dwi,
+    bet_mag,
+    omp_nthreads,
+    synb0_dir
+):
+
+    fmaps = []
+    synb0 = ""
+
+    # If use_synb0 set, get synb0 from files
+    if synb0_dir:
+        synb0_layout = BIDSLayout(
+            synb0_dir, validate=False, derivatives=True
+        )
+        synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
+    else:
+        fmaps = layout.get_fieldmap(dwi_file, return_list=True)
+        if not fmaps:
+            raise Exception(
+                "No fieldmaps found for participant {}. "
+                "All workflows require fieldmaps".format(subject_id)
+            )
 
-    # fmaps = []
-    # synb0 = ""
-    #
-    # # If use_synb0 set, get synb0 from files
-    # if parameters.synb0_dir:
-    #     synb0_layout = BIDSLayout(
-    #         parameters.synb0_dir, validate=False, derivatives=True
-    #     )
-    #     synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
-    # else:
-    #     fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
-    #     if not fmaps:
-    #         raise Exception(
-    #             "No fieldmaps found for participant {}. "
-    #             "All workflows require fieldmaps".format(subject_id)
-    #         )
-    #
-    #     for fmap in fmaps:
-    #         fmap["metadata"] = parameters.layout.get_metadata(
-    #             fmap[fmap["suffix"]]
-    #         )
-    #
-    # sdc_wf = init_sdc_prep_wf(
-    #     subject_id,
-    #     fmaps,
-    #     metadata,
-    #     parameters.layout,
-    #     parameters.bet_mag,
-    #     synb0,
-    # )
+        for fmap in fmaps:
+            fmap["metadata"] = layout.get_metadata(
+                fmap[fmap["suffix"]]
+            )
+
+    sdc_wf = init_sdc_prep_wf(
+        subject_id,
+        fmaps,
+        metadata,
+        layout,
+        bet_mag,
+        synb0,
+    )
 
     multiple_runs = isinstance(dwi_file, list)
 
@@ -102,7 +114,7 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
         name="outputnode",
     )
 
-    dwi_prep_wf = init_prep_dwi_wf(parameters.ignore, parameters.output_resolution)
+    dwi_artifacts_wf = init_dwi_artifacts_wf(ignore)
 
     def gen_index(in_file):
         """
@@ -118,6 +130,7 @@ def gen_index(in_file):
 
         out_file
             The output index file.
+
         """
 
         import os
@@ -143,6 +156,23 @@ def gen_index(in_file):
     )
 
     def gen_acqparams(in_file, metadata):
+        """
+        Create an acquisition parameters file for ``eddy``
+
+        **Inputs**
+
+        in_file
+            The dwi file
+        metadata
+            The BIDS metadata of the dwi file
+
+        **Outputs**
+
+        out_file
+            The output acquisition parameters file
+
+        """
+
         import os
         from nipype.utils.filemanip import fname_presuffix
 
@@ -189,7 +219,7 @@ def gen_acqparams(in_file, metadata):
 
     def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         """
-        A function that averages the *b0* volumes from a DWI dataset.
+        Averages the *b0* volumes from a DWI dataset.
         As current dMRI data are being acquired with all b-values > 0.0,
         the *lowb* volumes are selected by specifying the parameter b0_thresh.
         .. warning:: *b0* should be already registered (head motion artifact
@@ -229,16 +259,16 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         name="b0_avg_pre",
     )
 
-    avg_b0_0.inputs.b0_thresh = parameters.b0_thresh
+    avg_b0_0.inputs.b0_thresh = b0_thresh
 
     bet_dwi0 = pe.Node(
-        fsl.BET(frac=parameters.bet_dwi, mask=True, robust=True), name="bet_dwi_pre"
+        fsl.BET(frac=bet_dwi, mask=True, robust=True), name="bet_dwi_pre"
     )
 
     ecc = pe.Node(fsl.Eddy(repol=True, cnr_maps=True, residuals=True), name="fsl_eddy")
 
-    if parameters.omp_nthreads:
-        ecc.inputs.num_threads = parameters.omp_nthreads
+    if omp_nthreads:
+        ecc.inputs.num_threads = omp_nthreads
 
     try:
         if cuda.gpus:
@@ -253,15 +283,6 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
     get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
     get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
 
-    if set(parameters.ignore) == set(["denoise", "unring"]):
-        wf.connect(
-            [
-                (inputnode, avg_b0_0, [("dwi_file", "in_file")])(
-                    inputnode, ecc, [("dwi_file", "in_file")]
-                )
-            ]
-        )
-
     fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
 
     bias_correct = pe.Node(mrtrix3.DWIBiasCorrect(use_ants=True), name="bias_correct")
@@ -342,7 +363,7 @@ def get_b0_mask_fn(b0_file):
     )
 
     # # If synb0 is meant to be used
-    # if parameters.synb0_dir:
+    # if synb0_dir:
     #     dwi_wf.connect(
     #         [
     #             (
@@ -360,7 +381,7 @@ def get_b0_mask_fn(b0_file):
     #             ),
     #         ]
     #     )
-    #     ecc.inputs.in_acqp = parameters.acqp_file
+    #     ecc.inputs.in_acqp = acqp_file
     # else:
     #     # Decide what ecc will take: topup or fmap
     #     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
diff --git a/dmriprep/workflows/dwi/eddy.py b/dmriprep/workflows/dwi/eddy.py
index 7676ca30..d6612c18 100644
--- a/dmriprep/workflows/dwi/eddy.py
+++ b/dmriprep/workflows/dwi/eddy.py
@@ -1,102 +1,40 @@
 # -*- coding: utf-8 -*-
 
 """
-Orchestrating the dwi preprocessing workflows
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Head motion, eddy current distortion and EPI distortion correction
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. autofunction:: init_dwi_preproc_wf
+.. autofunction:: init_dwi_eddy_wf
 
 """
 
-from bids import BIDSLayout
 from nipype.pipeline import engine as pe
-from nipype.interfaces import ants, fsl, mrtrix3, utility as niu
+from nipype.interfaces import fsl, utility as niu
 from numba import cuda
 
-from .remove_artefacts import init_remove_artefacts_wf
-from .tensor import init_tensor_wf
 
-# from ..fieldmap.base import init_sdc_prep_wf
+def init_dwi_eddy_wf(omp_nthreads):
 
-FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
+    wf = pe.Workflow(name="dwi_eddy_wf")
 
+    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file",
+                                                      "bvec_file",
+                                                      "bval_file",
+                                                      "mask_file",
+                                                      "acqp",
+                                                      "index"]),
+                       name="inputnode")
 
-def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
+    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file", "out_bvec"]),
+                         name="outputnode")
 
-    # fmaps = []
-    # synb0 = ""
-    #
-    # # If use_synb0 set, get synb0 from files
-    # if parameters.synb0_dir:
-    #     synb0_layout = BIDSLayout(
-    #         parameters.synb0_dir, validate=False, derivatives=True
-    #     )
-    #     synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
-    # else:
-    #     fmaps = parameters.layout.get_fieldmap(dwi_file, return_list=True)
-    #     if not fmaps:
-    #         raise Exception(
-    #             "No fieldmaps found for participant {}. "
-    #             "All workflows require fieldmaps".format(subject_id)
-    #         )
-    #
-    #     for fmap in fmaps:
-    #         fmap["metadata"] = parameters.layout.get_metadata(
-    #             fmap[fmap["suffix"]]
-    #         )
-    #
-    # sdc_wf = init_sdc_prep_wf(
-    #     subject_id,
-    #     fmaps,
-    #     metadata,
-    #     parameters.layout,
-    #     parameters.bet_mag,
-    #     synb0,
-    # )
-
-    dwi_wf = pe.Workflow(name="dwi_preproc_wf")
-
-    inputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=[
-                "subject_id",
-                "dwi_file",
-                "dwi_meta",
-                "bvec_file",
-                "bval_file",
-                "out_dir",
-                "eddy_niter",
-            ]
-        ),
-        name="inputnode",
-    )
-
-    outputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=[
-                "out_dwi",
-                "out_bval",
-                "out_bvec",
-                "index",
-                "acq_params",
-                "out_mask",
-                "out_b0_pre",
-                "out_b0_mask_pre",
-                "out_eddy_quad_json",
-                "out_eddy_quad_pdf",
-                "out_dtifit_FA",
-                "out_dtifit_V1",
-                "out_dtifit_sse",
-                "out_noise",
-            ]
-        ),
-        name="outputnode",
+    ecc = pe.Node(
+        fsl.Eddy(num_threads=1, repol=True, cnr_maps=True, residuals=True),
+        name="fsl_eddy",
     )
 
-    ecc = pe.Node(fsl.Eddy(repol=True, cnr_maps=True, residuals=True), name="fsl_eddy")
-
-    if parameters.omp_nthreads:
-        ecc.inputs.num_threads = parameters.omp_nthreads
+    if omp_nthreads:
+        ecc.inputs.num_threads = omp_nthreads
 
     try:
         if cuda.gpus:
@@ -104,170 +42,15 @@ def init_dwi_preproc_wf(subject_id, dwi_file, metadata, parameters):
     except:
         ecc.inputs.use_cuda = False
 
-    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name="denoise_eddy")
-
-    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
-
-    get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
-    get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-
-    bias_correct = pe.Node(
-        ants.N4BiasFieldCorrection(save_bias=True, copy_header=True, dimension=3),
-        name="bias_correct",
-    )
-
-    def get_b0_mask_fn(b0_file):
-        import os
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        from dipy.segment.mask import median_otsu
-
-        mask_file = fname_presuffix(
-            b0_file, suffix="_mask", newpath=os.path.abspath(".")
-        )
-        img = nib.load(b0_file)
-        data, aff = img.get_data(), img.affine
-        _, mask = median_otsu(data, 2, 1)
-        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
-        return mask_file
-
-    b0mask_node = pe.Node(
-        niu.Function(
-            input_names=["b0_file"], output_names=["mask_file"], function=get_b0_mask_fn
-        ),
-        name="getB0Mask",
-    )
-
-    dwi_wf.connect(
-        [
-            (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
-            (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
-            (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
-            (bet_dwi0, ecc, [("mask_file", "in_mask")]),
-            (gen_idx, ecc, [("out_file", "in_index")]),
-            (acqp, ecc, [("out_file", "in_acqp")]),
-            (ecc, denoise_eddy, [("out_corrected", "in_file")]),
-            (ecc, fslroi, [("out_corrected", "in_file")]),
-            (fslroi, bias_correct, [("roi_file", "input_image")]),
-            (bias_correct, b0mask_node, [("output_image", "b0_file")]),
-            (
-                ecc,
-                eddy_quad,
-                [
-                    (("out_corrected", get_path), "base_name"),
-                    (("out_corrected", get_qc_path), "output_dir"),
-                    ("out_rotated_bvecs", "bvec_file"),
-                ],
-            ),
-            (inputnode, eddy_quad, [("bval_file", "bval_file")]),
-            (b0mask_node, eddy_quad, [("mask_file", "mask_file")]),
-            (gen_idx, eddy_quad, [("out_file", "idx_file")]),
-            (acqp, eddy_quad, [("out_file", "param_file")]),
-        ]
-    )
-
-    tensor_wf = init_tensor_wf()
-
-    dwi_wf.connect(
-        [
-            (inputnode, tensor_wf, [("bval_file", "inputnode.bval_file")]),
-            (b0mask_node, tensor_wf, [("mask_file", "inputnode.mask_file")]),
-            (
-                ecc,
-                tensor_wf,
-                [
-                    ("out_corrected", "inputnode.dwi_file"),
-                    ("out_rotated_bvecs", "inputnode.bvec_file"),
-                ],
-            ),
-        ]
-    )
-
-    # # If synb0 is meant to be used
-    # if parameters.synb0_dir:
-    #     dwi_wf.connect(
-    #         [
-    #             (
-    #                 sdc_wf,
-    #                 ecc,
-    #                 [
-    #                     ("outputnode.out_topup", "in_topup_fieldcoef"),
-    #                     ("outputnode.out_movpar", "in_topup_movpar"),
-    #                 ],
-    #             ),
-    #             (
-    #                 sdc_wf,
-    #                 eddy_quad,
-    #                 [("outputnode.out_enc_file", "param_file")],
-    #             ),
-    #         ]
-    #     )
-    #     ecc.inputs.in_acqp = parameters.acqp_file
-    # else:
-    #     # Decide what ecc will take: topup or fmap
-    #     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
-    #     fmap = fmaps[0]
-    #     # Else If epi files detected
-    #     if fmap["suffix"] == "epi":
-    #         dwi_wf.connect(
-    #             [
-    #                 (
-    #                     sdc_wf,
-    #                     ecc,
-    #                     [
-    #                         ("outputnode.out_topup", "in_topup_fieldcoef"),
-    #                         ("outputnode.out_enc_file", "in_acqp"),
-    #                         ("outputnode.out_movpar", "in_topup_movpar"),
-    #                     ],
-    #                 ),
-    #                 (
-    #                     sdc_wf,
-    #                     eddy_quad,
-    #                     [("outputnode.out_enc_file", "param_file")],
-    #                 ),
-    #             ]
-    #         )
-    #     # Otherwise (fieldmaps)
-    #     else:
-    #         dwi_wf.connect(
-    #             [
-    #                 (
-    #                     sdc_wf,
-    #                     ecc,
-    #                     [(("outputnode.out_fmap", get_path), "field")],
-    #                 ),
-    #                 (acqp, ecc, [("out_file", "in_acqp")]),
-    #                 (acqp, eddy_quad, [("out_file", "param_file")]),
-    #             ]
-    #         )
-
-    dwi_wf.connect(
-        [
-            (ecc, outputnode, [("out_corrected", "out_dwi")]),
-            (inputnode, outputnode, [("bval_file", "out_bval")]),
-            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
-            (gen_idx, outputnode, [("out_file", "index")]),
-            (acqp, outputnode, [("out_file", "acq_params")]),
-            (b0mask_node, outputnode, [("mask_file", "out_mask")]),
-            (avg_b0_0, outputnode, [("out_file", "out_b0_pre")]),
-            (bet_dwi0, outputnode, [("mask_file", "out_b0_mask_pre")]),
-            (
-                eddy_quad,
-                outputnode,
-                [("qc_json", "out_eddy_quad_json"), ("qc_pdf", "out_eddy_quad_pdf")],
-            ),
-            (
-                tensor_wf,
-                outputnode,
-                [
-                    ("outputnode.FA_file", "out_dtifit_FA"),
-                    ("outputnode.V1_file", "out_dtifit_V1"),
-                    ("outputnode.sse_file", "out_dtifit_sse"),
-                ],
-            ),
-        ]
-    )
-
-    return dwi_wf
+    wf.connect([
+        (inputnode, ecc, [("dwi_file", "in_file"),
+                          ("bval_file", "in_bval"),
+                          ("bvec_file", "in_bvec"),
+                          ("acqp", "in_acqp"),
+                          ("index", "in_index"),
+                          ("mask_file", "in_mask")]),
+        (ecc, outputnode, [("out_corrected", "out_file"),
+                           ("out_rotated_bvecs", "out_bvec")])
+        ])
+
+    return wf
diff --git a/dmriprep/workflows/dwi/outputs.py b/dmriprep/workflows/dwi/outputs.py
index ebaa090e..2a755fb5 100644
--- a/dmriprep/workflows/dwi/outputs.py
+++ b/dmriprep/workflows/dwi/outputs.py
@@ -1,10 +1,18 @@
 # -*- coding: utf-8 -*-
 
+"""
+Output dwi
+^^^^^^^^^^
+
+.. autofunction:: init_dwi_derivatives_wf
+
+"""
+
 from nipype.pipeline import engine as pe
 from nipype.interfaces import io as nio, utility as niu
 
 
-def init_output_wf(subject_id, session_id, output_folder):
+def init_dwi_derivatives_wf(subject_id, session_id, output_folder):
 
     output_wf = pe.Workflow(name="output_wf")
 
diff --git a/dmriprep/workflows/dwi/prep_dwi.py b/dmriprep/workflows/dwi/prep_dwi.py
deleted file mode 100644
index a72bb836..00000000
--- a/dmriprep/workflows/dwi/prep_dwi.py
+++ /dev/null
@@ -1,95 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Artefact removal and resampling dwi images
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. autofunction:: init_prep_dwi_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
-
-
-def init_prep_dwi_wf(ignore, output_resolution, name="prep_dwi_wf"):
-    """
-    This workflow performs denoises and unrings the inputs dwi image and optionally
-    resamples the image to the desired output resolution.
-
-    Denoising is done using Mrtrix3 using the MP-PCA algorithm [Veraart2016_].
-    Unringing is done using Mrtrix3 [Kellner2016]_.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from dmriprep.workflows.dwi import init_prep_dwi_wf
-        wf = init_prep_dwi_wf(ignore=[], output_resolution=(1, 1, 1))
-
-    **Parameters**
-
-        ignore : list
-            List of artefact removal steps to skip (default: None)
-        output_resolution : tuple
-            Tuple defining the new voxel size for the output image in the x, y, and z dimensions
-        name : str
-            Name of workflow (default: ``prep_dwi_wf``)
-
-    **Inputs**
-
-        dwi_file
-            dwi NIfTI file
-
-    **Outputs**
-
-        out_file
-            dwi NIfTI file after artefact removal and resizing
-
-    """
-
-    prep_dwi_wf = pe.Workflow(name=name)
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
-
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
-
-    resample = pe.Node(mrtrix3.MRResize(voxel_size=output_resolution), name="resample")
-
-    prep_full = ["denoise", "unring", "resample"]
-
-    if not output_resolution:
-        ignore.append("resample")
-
-    prep_wanted_str = [node for node in prep_full if not (node in ignore)]
-
-    # Translate string input to node names
-    str2node = {"denoise": denoise, "unring": unring, "resample": resample}
-
-    prep_wanted = [str2node[str_node] for str_node in prep_wanted_str]
-
-    # If no steps selected, just connect input to output
-    if not (prep_wanted):
-        prep_dwi_wf.connect([(inputnode, outputnode, [("dwi_file", "out_file")])])
-
-    # If there are steps
-    else:
-        # Must at least connect input node to first node
-        first_node = prep_wanted[0]
-        prep_dwi_wf.connect([(inputnode, first_node, [("dwi_file", "in_file")])])
-        # Loop through the prep order
-        # Note: only works if each node has in_file and out_file
-        # Can work around this by wrapping in node/workflow with in_file+out_file
-        prev = first_node
-        for curr_node in prep_wanted[1:]:
-            prep_dwi_wf.connect([(prev, curr_node, [("out_file", "in_file")])])
-            prev = curr_node
-        # Connect last node to output node
-        last_node = prep_wanted[-1]
-        prep_dwi_wf.connect([(last_node, outputnode, [("out_file", "out_file")])])
-
-    return prep_dwi_wf
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
index a639132a..cfa29be7 100644
--- a/dmriprep/workflows/dwi/tensor.py
+++ b/dmriprep/workflows/dwi/tensor.py
@@ -4,9 +4,9 @@
 from nipype.interfaces import fsl, utility as niu
 
 
-def init_tensor_wf():
+def init_dwi_tensor_wf():
 
-    wf = pe.Workflow(name="tensor_wf")
+    wf = pe.Workflow(name="dwi_tensor_wf")
 
     inputnode = pe.Node(
         niu.IdentityInterface(
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
new file mode 100644
index 00000000..ad0d4d86
--- /dev/null
+++ b/dmriprep/workflows/dwi/util.py
@@ -0,0 +1,14 @@
+# -*- coding: utf-8 -*-
+
+"""
+Utility workflows
+^^^^^^^^^^^^^^^^^
+"""
+
+def init_dwi_skullstrip_wf():
+
+
+
+def init_dwi_resample_wf():
+
+# use mrresize or nipype Rescale?
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
index ccd46cb2..015977ea 100644
--- a/docs/dmriprep.workflows.dwi.rst
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -4,6 +4,14 @@ dmriprep.workflows.dwi package
 Submodules
 ----------
 
+dmriprep.workflows.dwi.artifacts module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.artifacts
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.dwi.base module
 ----------------------------------
 
@@ -28,14 +36,6 @@ dmriprep.workflows.dwi.outputs module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.prep\_dwi module
----------------------------------------
-
-.. automodule:: dmriprep.workflows.dwi.prep_dwi
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 dmriprep.workflows.dwi.qc module
 --------------------------------
 
@@ -44,14 +44,6 @@ dmriprep.workflows.dwi.qc module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.tbss module
-----------------------------------
-
-.. automodule:: dmriprep.workflows.dwi.tbss
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 dmriprep.workflows.dwi.tensor module
 ------------------------------------
 

From 6bc9e6b66f6e83485506ec3bc224f7cbd5ac27cf Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Mon, 19 Aug 2019 18:32:24 -0400
Subject: [PATCH 129/156] fix zenodo formatting

---
 .zenodo.json | 61 ++++++++++++++++++++++++++--------------------------
 1 file changed, 31 insertions(+), 30 deletions(-)

diff --git a/.zenodo.json b/.zenodo.json
index c5d8be1a..85aeb35a 100644
--- a/.zenodo.json
+++ b/.zenodo.json
@@ -2,33 +2,34 @@
     "title": "dMRIPrep: a robust preprocessing pipeline for diffusion MRI",
     "description": "<p>dMRIPrep is a robust and easy-to-use pipeline for preprocessing of dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.</p>",
     "creators": [
-    {
-    "name": "Richie-Halford, Adam",
-    "affiliation": "University of Washington",
-    "orcid": "0000-0001-9276-9084"
-    },
-    {
-    "name": "Rokem, Ariel",
-    "affiliation": "The University of Washington eScience Institute",
-    "orcid": "0000-0003-0679-1985"
-    },
-    {
-    "name": "Yeatman, Jason",
-    "affiliation": "Stanford University",
-    "orcid": "0000-0002-2686-1293"
-    },
-    {
-    "name": "Joseph, Michael",
-    "affiliation": "The Centre for Addiction and Mental Health",
-    "orcid": "0000-0002-0068-230X"
-    },
-    {
-    "name": "Mansour, Salim",
-    "affiliation": "The Centre for Addiction and Mental Health"
-    },
-    {
-    "name": "Keshavan, Anisha",
-    "affiliation": "Child Mind Institute",
-    "orcid": "0000-0003-3554-043X"
-    }
-]
+        {
+        "name": "Richie-Halford, Adam",
+        "affiliation": "University of Washington",
+        "orcid": "0000-0001-9276-9084"
+        },
+        {
+        "name": "Rokem, Ariel",
+        "affiliation": "The University of Washington eScience Institute",
+        "orcid": "0000-0003-0679-1985"
+        },
+        {
+        "name": "Yeatman, Jason",
+        "affiliation": "Stanford University",
+        "orcid": "0000-0002-2686-1293"
+        },
+        {
+        "name": "Joseph, Michael",
+        "affiliation": "The Centre for Addiction and Mental Health",
+        "orcid": "0000-0002-0068-230X"
+        },
+        {
+        "name": "Mansour, Salim",
+        "affiliation": "The Centre for Addiction and Mental Health"
+        },
+        {
+        "name": "Keshavan, Anisha",
+        "affiliation": "Child Mind Institute",
+        "orcid": "0000-0003-3554-043X"
+        }
+    ]
+}

From cdfed739a760f657eca86f96528afadb8619f7ec Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 21 Aug 2019 16:51:55 -0400
Subject: [PATCH 130/156] update docs, add doctests

---
 dmriprep/__about__.py               |  10 +-
 dmriprep/__init__.py                |   4 +-
 dmriprep/cli.py                     | 116 ++++++++++-----------
 dmriprep/data/boilerplate.bib       |  80 +++++----------
 dmriprep/workflows/base.py          | 151 +++++++++++++++++++++-------
 dmriprep/workflows/dwi/__init__.py  |  13 ++-
 dmriprep/workflows/dwi/artifacts.py |  56 ++++-------
 dmriprep/workflows/dwi/base.py      |  92 ++++++++++++-----
 dmriprep/workflows/dwi/eddy.py      |   2 +
 dmriprep/workflows/dwi/tensor.py    |  45 +++++++++
 dmriprep/workflows/dwi/util.py      |  47 ++++++++-
 docs/conf.py                        |  53 +++++-----
 docs/license.rst                    |   2 +-
 13 files changed, 416 insertions(+), 255 deletions(-)

diff --git a/dmriprep/__about__.py b/dmriprep/__about__.py
index c7dcb1e8..5b4f1ff1 100644
--- a/dmriprep/__about__.py
+++ b/dmriprep/__about__.py
@@ -5,13 +5,13 @@
 __version__ = get_versions()['version']
 del get_versions
 
-__packagename__ = "dmriprep"
-__credits__ = ("Contributors: please check the ``.zenodo.json`` file at the"
-               "top-level folder of the repository")
-__url__ = "https://github.com/nipy/dmriprep"
+__packagename__ = 'dmriprep'
+__credits__ = ('Contributors: please check the ``.zenodo.json`` file at the'
+               'top-level folder of the repository')
+__url__ = 'https://github.com/nipy/dmriprep'
 
 DOWNLOAD_URL = (
-    "https://github.com/nipy/dmriprep/{name}/archive/{ver}.tar.gz".format(
+    'https://github.com/nipy/dmriprep/{name}/archive/{ver}.tar.gz'.format(
         name=__packagename__, ver=__version__
     )
 )
diff --git a/dmriprep/__init__.py b/dmriprep/__init__.py
index 25da16c1..169b6533 100644
--- a/dmriprep/__init__.py
+++ b/dmriprep/__init__.py
@@ -13,5 +13,5 @@
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
-warnings.filterwarnings("ignore", message="numpy.dtype size changed")
-warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
+warnings.filterwarnings('ignore', message='numpy.dtype size changed')
+warnings.filterwarnings('ignore', message='numpy.ufunc size changed')
diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index f56fc7cd..56525d49 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -13,114 +13,114 @@
 
 # Filter warnings that are visible whenever you import another package that
 # was compiled against an older numpy than is installed.
-warnings.filterwarnings("ignore", message="numpy.dtype size changed")
-warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
+warnings.filterwarnings('ignore', message='numpy.dtype size changed')
+warnings.filterwarnings('ignore', message='numpy.ufunc size changed')
 
 @click.command()
 # arguments as specified by BIDS-Apps
-@click.argument("bids_dir", type=click.Path(exists=True, file_okay=False))
+@click.argument('bids_dir', type=click.Path(exists=True, file_okay=False))
 @click.argument(
-    "output_dir", type=click.Path(exists=True, file_okay=False, writable=True)
+    'output_dir', type=click.Path(exists=True, file_okay=False, writable=True)
 )
 @click.argument(
-    "analysis_level", default="participant", type=click.Choice(["participant", "group"])
+    'analysis_level', default='participant', type=click.Choice(['participant', 'group'])
 )
 # optional arguments
 # options for filtering BIDS queries
 @click.option(
-    "--skip_bids_validation",
-    help="Assume the input dataset is BIDS compliant and skip the validation",
+    '--skip_bids_validation',
+    help='Assume the input dataset is BIDS compliant and skip the validation',
     is_flag=True
 )
 @click.option(
-    "--participant_label",
+    '--participant_label',
     default=None,
-    help="The label(s) of the participant(s) that should be "
-    "analyzed. The label corresponds to "
-    "sub-<participant_label> from the BIDS spec (the 'sub-' "
-    "prefix can be removed). If this parameter is not provided "
-    "all subjects will be analyzed. Multiple participants "
-    "can be specified with a space delimited list."
+    help='The label(s) of the participant(s) that should be '
+    'analyzed. The label corresponds to '
+    'sub-<participant_label> from the BIDS spec (the "sub-" '
+    'prefix can be removed). If this parameter is not provided '
+    'all subjects will be analyzed. Multiple participants '
+    'can be specified with a space delimited list.'
 )
 # options for prepping dwi scans
-# @click.option(
-#     "--concat_shells",
-#     default=None,
-#     help="A space delimited list of acq-<label>",
-# )
 @click.option(
-    "--b0_thresh",
+    '--concat_dwis',
+    default=None,
+    help='A space delimited list of acq-<label>',
+)
+@click.option(
+    '--b0_thresh',
     default=5,
     show_default=True,
-    help="Threshold for b0 value",
+    help='Threshold for b0 value',
     type=click.IntRange(min=0, max=10),
 )
 @click.option(
-    "--output_resolution",
-    help="The isotropic voxel size in mm the data will be resampled to before eddy.",
+    '--output_resolution',
+    help='The isotropic voxel size in mm the data will be resampled to before eddy.',
     type=float,
     multiple=True
 )
 # specific options for eddy
 @click.option(
-    "--omp_nthreads",
+    '--omp_nthreads',
     default=1,
     show_default=True,
-    help="Maximum number of threads for eddy",
+    help='Maximum number of threads for eddy',
     type=int,
 )
 @click.option(
-    "--eddy_niter",
+    '--eddy_niter',
     default=5,
     show_default=True,
-    help="Fixed number of eddy iterations. See "
-    "https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide"
-    "#A--niter",
+    help='Fixed number of eddy iterations. See '
+    'https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide'
+    '#A--niter',
     type=int,
 )
 @click.option(
-    "--bet_dwi",
+    '--bet_dwi',
     default=0.3,
     show_default=True,
-    help="Fractional intensity threshold for BET on the DWI. "
-    "A higher value will be more strict; it will cut off more "
-    "around what it analyzes the brain to be.",
+    help='Fractional intensity threshold for BET on the DWI. '
+    'A higher value will be more strict; it will cut off more '
+    'around what it analyzes the brain to be.',
     type=click.FloatRange(min=0, max=1),
 )
 @click.option(
-    "--bet_mag",
+    '--bet_mag',
     default=0.3,
     show_default=True,
-    help="Fractional intensity threshold for BET on the magnitude. "
-    "A higher value will be more strict; it will cut off more "
-    "around what it analyzes the brain to be.",
+    help='Fractional intensity threshold for BET on the magnitude. '
+    'A higher value will be more strict; it will cut off more '
+    'around what it analyzes the brain to be.',
     type=click.FloatRange(min=0, max=1),
 )
 @click.option(
-    "--acqp_file",
+    '--acqp_file',
     default=None,
-    help="If you want to pass in an acqp file for topup/eddy instead of"
-    "generating it from the json by default.",
+    help='If you want to pass in an acqp file for topup/eddy instead of'
+    'generating it from the json by default.',
     type=click.Path(exists=True, dir_okay=False),
 )
 # workflow configuration
 @click.option(
-    "--ignore",
-    "-i",
-    help="Specify which node(s) to skip during the preprocessing of the dwi.",
-    type=click.Choice(["denoise", "unring"]),
+    '--ignore',
+    '-i',
+    help='Specify which node(s) to skip during the preprocessing of the dwi.',
+    type=click.Choice(['denoise', 'unring', 'fieldmaps']),
     multiple=True,
 )
 @click.option(
-    "--work_dir",
-    "-w",
-    help="working directory",
+    '--work_dir',
+    '-w',
+    help='working directory',
     type=click.Path(exists=True, file_okay=False, writable=True),
 )
 @click.option(
-    "--synb0_dir",
+    '--synb0_dir',
     default=None,
-    help="If you want to use Synb0-DISCO for preprocessing.",
+    help='If you want to use Synb0-DISCO for preprocessing.',
     type=click.Path(exists=True, file_okay=False),
 )
 def main(
@@ -131,6 +131,7 @@ def main(
     skip_bids_validation,
     work_dir,
     ignore,
+    concat_dwis,
     b0_thresh,
     output_resolution,
     bet_dwi,
@@ -152,10 +153,10 @@ def main(
     participant level analyses can be run independently (in parallel).
     """
 
-    if analysis_level != "participant":
+    if analysis_level != 'participant':
         raise NotImplementedError(
-            "The only valid analysis level for dmriprep "
-            "is participant at the moment."
+            'The only valid analysis level for dmriprep '
+            'is participant at the moment.'
         )
 
     layout = BIDSLayout(bids_dir, validate=True)
@@ -169,7 +170,7 @@ def main(
         validate_input_dir(bids_dir, all_subjects, subject_list)
 
     if not work_dir:
-        work_dir = os.path.join(output_dir, "scratch")
+        work_dir = os.path.join(output_dir, 'scratch')
 
     if len(output_resolution) == 1:
         output_resolution = output_resolution * 3
@@ -180,6 +181,7 @@ def main(
         output_dir=output_dir,
         work_dir=work_dir,
         ignore=list(ignore),
+        concat_dwis=list(concat_dwis),
         b0_thresh=b0_thresh,
         output_resolution=output_resolution,
         bet_dwi=bet_dwi,
@@ -188,13 +190,13 @@ def main(
         synb0_dir=synb0_dir
     )
     wf.write_graph()
-    wf.config["execution"]["remove_unnecessary_outputs"] = False
-    wf.config["execution"]["keep_inputs"] = True
-    wf.config["execution"]["crashfile_format"] = "txt"
+    wf.config['execution']['remove_unnecessary_outputs'] = False
+    wf.config['execution']['keep_inputs'] = True
+    wf.config['execution']['crashfile_format'] = 'txt'
     wf.run()
 
     return 0
 
 
-if __name__ == "__main__":
+if __name__ == '__main__':
     sys.exit(main())  # pragma: no cover
diff --git a/dmriprep/data/boilerplate.bib b/dmriprep/data/boilerplate.bib
index 1063918d..2b9706ce 100644
--- a/dmriprep/data/boilerplate.bib
+++ b/dmriprep/data/boilerplate.bib
@@ -123,66 +123,32 @@ @article{flirt
     pages = {143--156}
 }
 
-@article{mcflirt,
-    author = {Jenkinson, Mark and Bannister, Peter and Brady, Michael and Smith, Stephen},
-    doi = {10.1006/nimg.2002.1132},
-    issn = {1053-8119},
+@article{denoise1,
+    title = {Denoising of diffusion MRI using random matrix theory},
+    volume = {142},
+    doi = {10.1016/j.neuroimage.2016.08.016},
     journal = {NeuroImage},
-    number = 2,
-    pages = {825-841},
-    title = {Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images},
-    url = {http://www.sciencedirect.com/science/article/pii/S1053811902911328},
-    volume = 17,
-    year = 2002
+    author = {Veraart, J.; Novikov, D.S.; Christiaens, D.; Ades-aron, B.; Sijbers, J. & Fieremans, E.},
+    year = {2016},
+    pages = {394-406}
 }
 
-@article{bbr,
-    author = {Greve, Douglas N and Fischl, Bruce},
-    doi = {10.1016/j.neuroimage.2009.06.060},
-    issn = {1095-9572},
-    journal = {NeuroImage},
-    number = 1,
-    pages = {63-72},
-    title = {Accurate and robust brain image alignment using boundary-based registration},
-    volume = 48,
-    year = 2009
+@article{denoise2,
+    title = {Diffusion MRI noise mapping using random matrix theory},
+    volume = {76},
+    doi = {10.1002/mrm.26059},
+    journal = {Magnetic Resonance in Medicine},
+    author = {Veraart, J.; Fieremans, E. & Novikov, D.S.},
+    year = {2016},
+    pages = {1582-1593}
 }
 
-@article{power_fd_dvars,
-    author = {Power, Jonathan D. and Mitra, Anish and Laumann, Timothy O. and Snyder, Abraham Z. and Schlaggar, Bradley L. and Petersen, Steven E.},
-    doi = {10.1016/j.neuroimage.2013.08.048},
-    issn = {1053-8119},
-    journal = {NeuroImage},
-    number = {Supplement C},
-    pages = {320-341},
-    title = {Methods to detect, characterize, and remove motion artifact in resting state fMRI},
-    url = {http://www.sciencedirect.com/science/article/pii/S1053811913009117},
-    volume = 84,
-    year = 2014
-}
-
-@article{confounds_satterthwaite_2013,
-    author = {Satterthwaite, Theodore D. and Elliott, Mark A. and Gerraty, Raphael T. and Ruparel, Kosha and Loughead, James and Calkins, Monica E. and Eickhoff, Simon B. and Hakonarson, Hakon and Gur, Ruben C. and Gur, Raquel E. and Wolf, Daniel H.},
-    doi = {10.1016/j.neuroimage.2012.08.052},
-    issn = {10538119},
-    journal = {NeuroImage},
-    number = 1,
-    pages = {240--256},
-    title = {{An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data}},
-    url = {http://linkinghub.elsevier.com/retrieve/pii/S1053811912008609},
-    volume = 64,
-    year = 2013
-}
-
-@article{hcppipelines,
-    author = {Glasser, Matthew F. and Sotiropoulos, Stamatios N. and Wilson, J. Anthony and Coalson, Timothy S. and Fischl, Bruce and Andersson, Jesper L. and Xu, Junqian and Jbabdi, Saad and Webster, Matthew and Polimeni, Jonathan R. and Van Essen, David C. and Jenkinson, Mark},
-    doi = {10.1016/j.neuroimage.2013.04.127},
-    issn = {1053-8119},
-    journal = {NeuroImage},
-    pages = {105-124},
-    series = {Mapping the Connectome},
-    title = {The minimal preprocessing pipelines for the Human Connectome Project},
-    url = {http://www.sciencedirect.com/science/article/pii/S1053811913005053},
-    volume = 80,
-    year = 2013
+@article{unring,
+    title = {Gibbs-ringing artifact removal based on local subvoxel-shifts},
+    volume = {76},
+    doi = {10.1002/mrm.26054},
+    journal = {Magnetic Resonance in Medicine},
+    author = {Kellner, E; Dhital, B; Kiselev, V.G & Reisert, M.},
+    year = {2016},
+    pages = {1574–1581}
 }
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index e0205b11..c5d742f9 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -22,6 +22,7 @@ def init_dmriprep_wf(
     output_dir,
     work_dir,
     ignore,
+    concat_dwis,
     b0_thresh,
     output_resolution,
     bet_dwi,
@@ -37,23 +38,52 @@ def init_dmriprep_wf(
         :graph2use: orig
         :simple_form: yes
 
-    wf = init_dmriprep_wf()
+    from collections import namedtuple
+    from dmriprep.workflows.base import init_dmriprep_wf
+    BIDSLayout = namedtuple('BIDSLayout', ['root'])
+    wf = init_dmriprep_wf(subject_list=['dmripreptest'], layout=BIDSLayout('.'), output_dir='.', work_dir='.', ignore=[], b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, synb0_dir='')
 
     Parameters
 
+        subject_list: list
+            List of subject labels
+        layout: BIDSLayout object
+            BIDS dataset layout
+        output_dir: str
+            Directory in which to save derivatives
+        work_dir: str
+            Directory in which to store workflow execution state and temporary files
+        ignore: list
+            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps')
+        concat_dwis: list
+            List of dwi images to concatenate (specified with the 'acq-') tag
+        b0_thresh: int
+            Threshold for identifying bval as a b0
+        output_resolution: tuple
+            Output resolution of dwi image in x, y and z axes
+        bet_dwi: float
+            Fractional intensity threshold for BET on dwi image
+        bet_mag: float
+            Fractional intensity threshold for BET on magnitude image
+        omp_nthreads: int
+            Maximum number of threads an individual process may use
+        synb0_dir: str
+            Direction in which synb0 derivatives are saved
+
     """
-    dmriprep_wf = pe.Workflow(name="dmriprep_wf")
+    dmriprep_wf = pe.Workflow(name='dmriprep_wf')
     dmriprep_wf.base_dir = work_dir
 
     for subject_id in subject_list:
 
         single_subject_wf = init_single_subject_wf(
             subject_id=subject_id,
-            name="single_subject_" + subject_id + "_wf",
+            name='single_subject_' + subject_id + '_wf',
             layout=layout,
             output_dir=output_dir,
             work_dir=work_dir,
             ignore=ignore,
+            concat_dwis=concat_dwis,
             b0_thresh=b0_thresh,
             output_resolution=output_resolution,
             bet_dwi=bet_dwi,
@@ -62,12 +92,12 @@ def init_dmriprep_wf(
             synb0_dir=synb0_dir
         )
 
-        single_subject_wf.config["execution"]["crashdump_dir"] = os.path.join(
-            output_dir, "dmriprep", "sub-" + subject_id, "log"
+        single_subject_wf.config['execution']['crashdump_dir'] = os.path.join(
+            output_dir, 'dmriprep', 'sub-' + subject_id, 'log'
         )
-        single_subject_wf.config["execution"]["remove_unnecessary_outputs"] = False
-        single_subject_wf.config["execution"]["keep_inputs"] = True
-        single_subject_wf.config["execution"]["crashfile_format"] = "txt"
+        single_subject_wf.config['execution']['remove_unnecessary_outputs'] = False
+        single_subject_wf.config['execution']['keep_inputs'] = True
+        single_subject_wf.config['execution']['crashfile_format'] = 'txt'
 
         for node in single_subject_wf._get_all_nodes():
             node.config = deepcopy(single_subject_wf.config)
@@ -84,6 +114,7 @@ def init_single_subject_wf(
     output_dir,
     work_dir,
     ignore,
+    concat_dwis,
     b0_thresh,
     output_resolution,
     bet_dwi,
@@ -103,34 +134,62 @@ def init_single_subject_wf(
         :graph2use: orig
         :simple_form: yes
 
-    wf = init_single_subject_wf()
+    from collections import namedtuple
+    from dmriprep.workflows.base import init_single_subject_wf
+    BIDSLayout = namedtuple('BIDSLayout', ['root'])
+    wf = init_single_subject_wf(subject_id='test', name='single_subject_wf', layout=BIDSLayout, output_dir='.', work_dir='.', ignore=[], b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, synb0_dir='')
 
     Parameters
 
-    Inputs
+        subject_id: str
+            Single subject label
+        layout: BIDSLayout object
+            BIDS dataset layout
+        output_dir: str
+            Directory in which to save derivatives
+        work_dir: str
+            Directory in which to store workflow execution state and temporary files
+        ignore: list
+            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps')
+        concat_dwis: list
+            List of dwi images to concatenate (specified with the 'acq-') tag
+        b0_thresh: int
+            Threshold for identifying bval as a b0
+        output_resolution: tuple
+            Output resolution of dwi image in x, y and z axes
+        bet_dwi: float
+            Fractional intensity threshold for BET on dwi image
+        bet_mag: float
+            Fractional intensity threshold for BET on magnitude image
+        omp_nthreads: int
+            Maximum number of threads an individual process may use
+        synb0_dir: str
+            Direction in which synb0 derivatives are saved
 
     """
 
     dwi_files = layout.get(
         subject=subject_id,
-        datatype="dwi",
-        suffix="dwi",
-        extensions=[".nii", ".nii.gz"],
-        return_type="filename"
+        datatype='dwi',
+        suffix='dwi',
+        extensions=['.nii', '.nii.gz'],
+        return_type='filename'
     )
 
     if not dwi_files:
         raise Exception(
-            "No dwi images found for participant {}. "
-            "All workflows require dwi images".format(subject_id)
+            'No dwi images found for participant {}. '
+            'All workflows require dwi images'.format(subject_id)
         )
 
     subject_wf = pe.Workflow(name=name)
 
+    dwi_files = group_dwis(dwi_files, concat_dwis)
+
     for dwi_file in dwi_files:
         entities = layout.parse_file_entities(dwi_file)
-        if "session" in entities:
-            session_id = entities["session"]
+        if 'session' in entities:
+            session_id = entities['session']
         else:
             session_id = None
         metadata = layout.get_metadata(dwi_file)
@@ -159,7 +218,7 @@ def init_single_subject_wf(
             os.path.abspath(work_dir), subject_id
         )
 
-        inputspec = dwi_preproc_wf.get_node("inputnode")
+        inputspec = dwi_preproc_wf.get_node('inputnode')
         inputspec.inputs.subject_id = subject_id
         inputspec.inputs.dwi_file = dwi_file
         inputspec.inputs.dwi_meta = metadata
@@ -167,16 +226,16 @@ def init_single_subject_wf(
         inputspec.inputs.bval_file = layout.get_bval(dwi_file)
         inputspec.inputs.out_dir = os.path.abspath(output_dir)
 
-        ds_inputspec = datasink_wf.get_node("inputnode")
+        ds_inputspec = datasink_wf.get_node('inputnode')
         ds_inputspec.inputs.subject_id = subject_id
         ds_inputspec.inputs.session_id = session_id
         ds_inputspec.inputs.output_folder = output_dir
         ds_inputspec.inputs.metadata = metadata
 
         if session_id:
-            wf_name = "sub_" + subject_id + "_ses_" + session_id + "_preproc_wf"
+            wf_name = 'sub_' + subject_id + '_ses_' + session_id + '_preproc_wf'
         else:
-            wf_name = "sub_" + subject_id + "_preproc_wf"
+            wf_name = 'sub_' + subject_id + '_preproc_wf'
         full_wf = pe.Workflow(name=wf_name)
 
         full_wf.connect(
@@ -185,20 +244,20 @@ def init_single_subject_wf(
                     dwi_preproc_wf,
                     datasink_wf,
                     [
-                        ("outputnode.out_dwi", "inputnode.dwi"),
-                        ("outputnode.out_bval", "inputnode.bval"),
-                        ("outputnode.out_bvec", "inputnode.bvec"),
-                        ("outputnode.index", "inputnode.index"),
-                        ("outputnode.acq_params", "inputnode.acq_params"),
-                        ("outputnode.out_mask", "inputnode.mask"),
-                        ("outputnode.out_b0_pre", "inputnode.b0"),
-                        ("outputnode.out_b0_mask_pre", "inputnode.b0_mask"),
-                        ("outputnode.out_eddy_quad_json", "inputnode.eddy_quad_json"),
-                        ("outputnode.out_eddy_quad_pdf", "inputnode.eddy_quad_pdf"),
-                        ("outputnode.out_dtifit_FA", "inputnode.dtifit_FA"),
-                        ("outputnode.out_dtifit_V1", "inputnode.dtifit_V1"),
-                        ("outputnode.out_dtifit_sse", "inputnode.dtifit_sse"),
-                        ("outputnode.out_noise", "inputnode.noise")
+                        ('outputnode.out_dwi', 'inputnode.dwi'),
+                        ('outputnode.out_bval', 'inputnode.bval'),
+                        ('outputnode.out_bvec', 'inputnode.bvec'),
+                        ('outputnode.index', 'inputnode.index'),
+                        ('outputnode.acq_params', 'inputnode.acq_params'),
+                        ('outputnode.out_mask', 'inputnode.mask'),
+                        ('outputnode.out_b0_pre', 'inputnode.b0'),
+                        ('outputnode.out_b0_mask_pre', 'inputnode.b0_mask'),
+                        ('outputnode.out_eddy_quad_json', 'inputnode.eddy_quad_json'),
+                        ('outputnode.out_eddy_quad_pdf', 'inputnode.eddy_quad_pdf'),
+                        ('outputnode.out_dtifit_FA', 'inputnode.dtifit_FA'),
+                        ('outputnode.out_dtifit_V1', 'inputnode.dtifit_V1'),
+                        ('outputnode.out_dtifit_sse', 'inputnode.dtifit_sse'),
+                        ('outputnode.out_noise', 'inputnode.noise')
                     ]
                 )
             ]
@@ -207,3 +266,23 @@ def init_single_subject_wf(
         subject_wf.add_nodes([full_wf])
 
     return subject_wf
+
+
+def group_dwis(dwi_files, concat_dwis):
+
+    all_dwis = []
+
+    if sessions:
+        session_dwi_groups = []
+        for session in sessions:
+            session_dwi_files = [img for img in dwi_files if 'ses-{}'.format(session) in img]
+            for f in session_dwi_files:
+                if any(acq in f for acq in concat_dwis):
+                    session_dwi_groups.append(f)
+                else:
+                    all_dwis.append(f)
+        all_dwis.append(session_dwi_groups)
+    else:
+        all_dwis.append(f)
+
+    return all_dwis
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 59937a5f..ede61f31 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -7,6 +7,7 @@
 
 .. automodule:: dmriprep.workflows.dwi.base
 .. automodule:: dmriprep.workflows.dwi.artifacts
+.. automodule:: dmriprep.workflows.dwi.util
 .. automodule:: dmriprep.workflows.dwi.eddy
 .. automodule:: dmriprep.workflows.dwi.tensor
 .. automodule:: dmriprep.workflows.dwi.outputs
@@ -15,14 +16,16 @@
 
 from .base import init_dwi_preproc_wf
 from .artifacts import init_dwi_artifacts_wf
+from .util import init_dwi_resize_wf
 from .eddy import init_dwi_eddy_wf
 from .tensor import init_dwi_tensor_wf
 from .outputs import init_dwi_derivatives_wf
 
 __all__ = [
-    "init_dwi_preproc_wf",
-    "init_dwi_artifacts_wf",
-    "init_dwi_eddy_wf",
-    "init_dwi_tensor_wf",
-    "init_dwi_derivatives_wf"
+    'init_dwi_preproc_wf',
+    'init_dwi_artifacts_wf',
+    'init_dwi_resize_wf',
+    'init_dwi_eddy_wf',
+    'init_dwi_tensor_wf',
+    'init_dwi_derivatives_wf'
 ]
diff --git a/dmriprep/workflows/dwi/artifacts.py b/dmriprep/workflows/dwi/artifacts.py
index 4c176fa3..79b74ed8 100644
--- a/dmriprep/workflows/dwi/artifacts.py
+++ b/dmriprep/workflows/dwi/artifacts.py
@@ -17,8 +17,8 @@ def init_dwi_artifacts_wf(ignore):
     This workflow performs denoising and unringing on the input dwi image.
 
     Denoising is done using Mrtrix3's implementation of the MP-PCA
-    algorithm `[Veraart2016a_]` and `[Veraart2016b_]`.
-    Unringing is done using Mrtrix3  `[Kellner2016_]`.
+    algorithm @denoise1 and @denoise2.
+    Unringing is done using Mrtrix3 @unring.
 
     .. workflow::
         :graph2use: orig
@@ -29,7 +29,7 @@ def init_dwi_artifacts_wf(ignore):
 
     **Parameters**
 
-        ignore : list
+        ignore: list
             List of artefact removal steps to skip (default: [])
 
     **Inputs**
@@ -42,58 +42,40 @@ def init_dwi_artifacts_wf(ignore):
         out_file
             dwi NIfTI file after artefact removal
 
-    References
-    ^^^^^^^^^^
-
-    .. [Veraart2016a] Veraart, J.; Novikov, D.S.; Christiaens, D.; Ades-aron, B.;
-                      Sijbers, J. & Fieremans, E. Denoising of diffusion MRI
-                      using random matrix theory. NeuroImage, 2016, 142, 394-406,
-                      doi: `10.1016/j.neuroimage.2016.08.016 <https://doi.org/10.1016/j.neuroimage.2016.08.016>`_.
-
-    .. [Veraart2016b] Veraart, J.; Fieremans, E. & Novikov, D.S. Diffusion MRI
-                      noise mapping using random matrix theory. Magn. Res. Med.,
-                      2016, 76(5), 1582-1593,
-                      doi: `10.1002/mrm.26059 <https://doi.org/10.1002/mrm.26059>`_.
-
-    .. [Kellner2016] Kellner, E; Dhital, B; Kiselev, V.G & Reisert, M.
-                     Gibbs-ringing artifact removal based on local subvoxel-shifts.
-                     Magnetic Resonance in Medicine, 2016, 76, 1574–1581,
-                     doi: `10.1002/mrm.26054 <https://doi.org/10.1002/mrm.26054>`_.
-
     """
 
-    wf = pe.Workflow(name="dwi_artifacts_wf")
+    wf = pe.Workflow(name='dwi_artifacts_wf')
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file"]), name="inputnode")
+    inputnode = pe.Node(niu.IdentityInterface(fields=['dwi_file']), name='inputnode')
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file"]), name="outputnode")
+    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file']), name='outputnode')
 
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name="denoise")
+    denoise = pe.Node(mrtrix3.DWIDenoise(), name='denoise')
 
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name="unring")
+    unring = pe.Node(mrtrix3.MRDeGibbs(), name='unring')
 
-    if ignore == ["denoise"]:
+    if ignore == ['denoise']:
         wf.connect([
-            (inputnode, unring, [("dwi_file", "in_file")]),
-            (unring, outputnode, [("out_file", "out_file")])
+            (inputnode, unring, [('dwi_file', 'in_file')]),
+            (unring, outputnode, [('out_file', 'out_file')])
         ])
 
-    elif ignore == ["unring"]:
+    elif ignore == ['unring']:
         wf.connect([
-            (inputnode, denoise, [("dwi_file", "in_file")]),
-            (denoise, outputnode, [("out_file", "out_file")])
+            (inputnode, denoise, [('dwi_file', 'in_file')]),
+            (denoise, outputnode, [('out_file', 'out_file')])
         ])
 
-    elif ["denoise", "unring"] in ignore:
+    elif ['denoise', 'unring'] in ignore:
         wf.connect([
-            (inputnode, outputnode, "dwi_file", "out_file")
+            (inputnode, outputnode, 'dwi_file', 'out_file')
         ])
 
     else:
         wf.connect([
-            (inputnode, denoise, [("dwi_file", "in_file")]),
-            (denoise, unring, [("out_file", "in_file")]),
-            (unring, outputnode, [("out_file", "out_file")])
+            (inputnode, denoise, [('dwi_file', 'in_file')]),
+            (denoise, unring, [('out_file', 'in_file')]),
+            (unring, outputnode, [('out_file', 'out_file')])
         ])
 
     return wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index f7369077..7ef99eac 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -14,6 +14,7 @@
 from numba import cuda
 
 from .artifacts import init_dwi_artifacts_wf
+from .util import init_dwi_resize_wf
 from .tensor import init_dwi_tensor_wf
 
 from ..fieldmap.base import init_sdc_prep_wf
@@ -34,8 +35,43 @@ def init_dwi_preproc_wf(
     omp_nthreads,
     synb0_dir
 ):
+    """
+    This workflow controls the diffusion preprocessing stages of dMRIprep.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+        from collections import namedtuple
+        from dmriprep.workflows.dwi import init_dwi_preproc_wf
+        BIDSLayout = namedtuple('BIDSLayout', ['root'])
+        wf = init_dwi_preproc_wf(
+            subjectid=,
+            dwi_file=,
+            metadata=,
+            layout=BIDSLayout('.'),
+            ignore=[],
+            b0_thresh=5,
+            output_resolution=(1, 1, 1),
+            bet_dwi=0.3,
+            bet_mag=0.3,
+            omp_nthreads=1,
+            synb0_dir='.'
+        )
+
+    """
+
+    multiple_runs = isinstance(dwi_file, list)
+
+    if multiple_runs:
+        ref_file = dwi_file[0]
+    else:
+        ref_file = dwi_file
+
+    wf_name = _get_wf_name(ref_file)
+
+    dwi_wf = pe.Workflow(name=wf_name)
 
-    fmaps = []
     synb0 = ""
 
     # If use_synb0 set, get synb0 from files
@@ -45,17 +81,14 @@ def init_dwi_preproc_wf(
         )
         synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
     else:
-        fmaps = layout.get_fieldmap(dwi_file, return_list=True)
-        if not fmaps:
-            raise Exception(
-                "No fieldmaps found for participant {}. "
-                "All workflows require fieldmaps".format(subject_id)
-            )
-
-        for fmap in fmaps:
-            fmap["metadata"] = layout.get_metadata(
-                fmap[fmap["suffix"]]
-            )
+        # Find fieldmaps. Options: (epi|fieldmap|phasediff|phase1|phase2|syn)
+        fmaps = []
+        if "fieldmaps" not in ignore:
+            for fmap in layout.get_fieldmap(ref_file, return_list=True):
+                fmap["metadata"] = layout.get_metadata(
+                    fmap[fmap["suffix"]]
+                )
+                fmaps.append(fmap)
 
     sdc_wf = init_sdc_prep_wf(
         subject_id,
@@ -66,16 +99,7 @@ def init_dwi_preproc_wf(
         synb0,
     )
 
-    multiple_runs = isinstance(dwi_file, list)
 
-    if multiple_runs:
-        ref_file = dwi_file[0]
-    else:
-        ref_file = dwi_file
-
-    wf_name = _get_wf_name(ref_file)
-
-    dwi_wf = pe.Workflow(name=wf_name)
 
     inputnode = pe.Node(
         niu.IdentityInterface(
@@ -116,6 +140,27 @@ def init_dwi_preproc_wf(
 
     dwi_artifacts_wf = init_dwi_artifacts_wf(ignore)
 
+    if output_resolution:
+        dwi_resize_wf = init_dwi_resize_wf(output_resolution)
+
+        dwi_wf.connect(
+            [
+                (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
+                (dwi_artifacts_wf, dwi_resize_wf, [("outputnode.out_file", "inputnode.in_file")]),
+                (dwi_resize_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
+                (dwi_resize_wf, ecc, [("outputnode.out_file", "in_file")])
+            ]
+        )
+
+    else:
+        dwi_wf.connect(
+            [
+                (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
+                (dwi_artifacts_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
+                (dwi_artifacts_wf, ecc, [("outputnode.out_file", "in_file")])
+            ]
+        )
+
     def gen_index(in_file):
         """
         Create an index file that tells `eddy` which line/lines in the
@@ -311,11 +356,8 @@ def get_b0_mask_fn(b0_file):
 
     dwi_wf.connect(
         [
-            (inputnode, dwi_prep_wf, [("dwi_file", "inputnode.dwi_file")]),
-            (dwi_prep_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
             (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
             (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
-            (dwi_prep_wf, ecc, [("outputnode.out_file", "in_file")]),
             (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
             (bet_dwi0, ecc, [("mask_file", "in_mask")]),
             (gen_idx, ecc, [("out_file", "in_index")]),
@@ -345,7 +387,7 @@ def get_b0_mask_fn(b0_file):
         ]
     )
 
-    tensor_wf = init_tensor_wf()
+    tensor_wf = init_dwi_tensor_wf()
 
     dwi_wf.connect(
         [
diff --git a/dmriprep/workflows/dwi/eddy.py b/dmriprep/workflows/dwi/eddy.py
index d6612c18..9ece6ceb 100644
--- a/dmriprep/workflows/dwi/eddy.py
+++ b/dmriprep/workflows/dwi/eddy.py
@@ -36,6 +36,8 @@ def init_dwi_eddy_wf(omp_nthreads):
     if omp_nthreads:
         ecc.inputs.num_threads = omp_nthreads
 
+    # this doesn't work well
+    # recognizes that a computer is cuda capable but failed if cuda isn't loaded
     try:
         if cuda.gpus:
             ecc.inputs.use_cuda = True
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
index cfa29be7..8106d493 100644
--- a/dmriprep/workflows/dwi/tensor.py
+++ b/dmriprep/workflows/dwi/tensor.py
@@ -1,10 +1,55 @@
 # -*- coding: utf-8 -*-
 
+"""
+Tensor fitting
+^^^^^^^^^^^^^^
+
+.. autofunction:: init_dwi_tensor_wf
+
+"""
+
 from nipype.pipeline import engine as pe
 from nipype.interfaces import fsl, utility as niu
 
 
 def init_dwi_tensor_wf():
+    """
+    This workflow fits a tensor to the input dwi image.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+        from dmriprep.workflows.dwi import init_dwi_tensor_wf
+        wf = init_dwi_tensor_wf()
+
+    **Inputs**
+
+        dwi_file
+            dwi NIfTI file
+        bvec_file
+            bvec file
+        bval_file
+            bval file
+        mask_file
+            brain mask file
+
+    **Outputs**
+
+        FA_file
+            FA
+        MD_file
+            MD
+        AD_file
+            AD
+        RD_file
+            RD
+        V1_file
+            V1
+        sse_file
+            diffusion tensor fit residuals
+
+    """
 
     wf = pe.Workflow(name="dwi_tensor_wf")
 
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
index ad0d4d86..9e680029 100644
--- a/dmriprep/workflows/dwi/util.py
+++ b/dmriprep/workflows/dwi/util.py
@@ -3,12 +3,53 @@
 """
 Utility workflows
 ^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_dwi_resize_wf
+
 """
 
-def init_dwi_skullstrip_wf():
+from nipype.pipeline import engine as pe
+from nipype.interfaces import mrtrix3, utility as niu
+
+
+def init_dwi_resize_wf(output_resolution):
+    """
+    This workflow performs resizes the input image to the desired output resolution.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+        from dmriprep.workflows.dwi import init_dwi_resize_wf
+        wf = init_dwi_resize_wf(output_resolution=(1, 1, 1))
+
+    **Parameters**
+
+        output_resolution: tuple
+            Tuple of voxel sizes (in mm) in the x, y and z axes
+
+    **Inputs**
+
+        in_file
+            input NIfTI file
+
+    **Outputs**
+
+        out_file
+            output NIfTI file after resizing
+    """
+
+    wf = pe.Workflow(name='dwi_resize_wf')
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=['in_file']), name='inputnode')
 
+    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file']), name='outputnode')
 
+    resize = pe.Node(mrtrix3.MRResize(voxel_size=output_resolution), name='resize')
 
-def init_dwi_resample_wf():
+    wf.connect([
+        (inputnode, resize, [('in_file', 'in_file')]),
+        (resize, outputnode, [('out_file', 'out_file')])
+    ])
 
-# use mrresize or nipype Rescale?
+    return wf
diff --git a/docs/conf.py b/docs/conf.py
index f51cd5be..2e48a71c 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -22,7 +22,7 @@
 import sys
 from datetime import datetime
 
-sys.path.insert(0, os.path.abspath(".."))
+sys.path.insert(0, os.path.abspath('..'))
 
 import dmriprep
 
@@ -35,31 +35,30 @@
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
 extensions = [
-    "sphinx.ext.autodoc",
-    "sphinx.ext.doctest",
-    "sphinx.ext.intersphinx",
-    "sphinx.ext.viewcode",
-    "sphinx.ext.napoleon",  # support for reading numpy and Google style docstrings
-    "sphinx_click.ext",  # click extension
-    "nipype.sphinxext.plot_workflow"  # nipype extension to plot workflows
+    'sphinx.ext.autodoc',
+    'sphinx.ext.doctest',
+    'sphinx.ext.intersphinx',
+    'sphinx.ext.viewcode',
+    'sphinx_click.ext',  # click extension
+    'nipype.sphinxext.plot_workflow'  # nipype extension to plot workflows
 ]
 
 # Add any paths that contain templates here, relative to this directory.
-templates_path = ["_templates"]
+templates_path = ['_templates']
 
 # The suffix(es) of source filenames.
 # You can specify multiple suffix as a list of string:
 #
 # source_suffix = ['.rst', '.md']
-source_suffix = ".rst"
+source_suffix = '.rst'
 
 # The master toctree document.
-master_doc = "index"
+master_doc = 'index'
 
 # General information about the project.
-project = "dmriprep"
-author = "Anisha Keshavan"
-copyright = "2018-%s, %s" % (datetime.now().year, author)
+project = 'dmriprep'
+author = 'Anisha Keshavan'
+copyright = '2018-%s, %s' % (datetime.now().year, author)
 
 
 # The version info for the project you're documenting, acts as replacement
@@ -75,16 +74,16 @@
 # for a list of supported languages.
 #
 # This is also used if you do content translation via gettext catalogs.
-# Usually you set "language" from the command line for these cases.
+# Usually you set 'language' from the command line for these cases.
 language = None
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
 # This patterns also effect to html_static_path and html_extra_path
-exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
+exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
 
 # The name of the Pygments (syntax highlighting) style to use.
-pygments_style = "sphinx"
+pygments_style = 'sphinx'
 
 # If true, `todo` and `todoList` produce output, else they produce nothing.
 todo_include_todos = False
@@ -95,7 +94,7 @@
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 #
-html_theme = "sphinx_rtd_theme"
+html_theme = 'sphinx_rtd_theme'
 
 # Theme options are theme-specific and customize the look and feel of a
 # theme further.  For a list of options available for each theme, see the
@@ -105,14 +104,14 @@
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
+# so a file named 'default.css' will overwrite the builtin 'default.css'.
 html_static_path = []
 
 
 # -- Options for HTMLHelp output ---------------------------------------
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = "dmriprepdoc"
+htmlhelp_basename = 'dmriprepdoc'
 
 
 # -- Options for LaTeX output ------------------------------------------
@@ -136,7 +135,7 @@
 # (source start file, target name, title, author, documentclass
 # [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, "dmriprep.tex", "dmriprep Documentation", author, "manual")
+    (master_doc, 'dmriprep.tex', 'dmriprep Documentation', author, 'manual')
 ]
 
 
@@ -144,7 +143,7 @@
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, "dmriprep", "dmriprep Documentation", [author], 1)]
+man_pages = [(master_doc, 'dmriprep', 'dmriprep Documentation', [author], 1)]
 
 
 # -- Options for Texinfo output ----------------------------------------
@@ -155,11 +154,11 @@
 texinfo_documents = [
     (
         master_doc,
-        "dmriprep",
-        "dmriprep Documentation",
+        'dmriprep',
+        'dmriprep Documentation',
         author,
-        "dmriprep",
-        "One line description of project.",
-        "Miscellaneous",
+        'dmriprep',
+        'One line description of project.',
+        'Miscellaneous',
     )
 ]
diff --git a/docs/license.rst b/docs/license.rst
index 1f5a2b16..2c1de27b 100644
--- a/docs/license.rst
+++ b/docs/license.rst
@@ -7,5 +7,5 @@ in the ``dmriprep`` distribution.
 
 All trademarks referenced herein are property of their respective holders.
 
-Copyright (c) 2018-2019, the dMRIPrep.
+Copyright (c) 2018-2019, the dMRIPrep developers.
 All rights reserved.

From 654f35ee03915c15ed4aabb306a52620b3713853 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 27 Aug 2019 16:56:12 -0400
Subject: [PATCH 131/156] - add nthreads option - update workflow docstrings -
 move resizing back to artifact workflow - update eddy workflow

---
 dmriprep/cli.py                     |  10 ++-
 dmriprep/workflows/base.py          |  56 +++++++++++----
 dmriprep/workflows/dwi/__init__.py  |   3 -
 dmriprep/workflows/dwi/artifacts.py |  12 ++--
 dmriprep/workflows/dwi/base.py      |  34 +++------
 dmriprep/workflows/dwi/eddy.py      | 105 +++++++++++++++++++++-------
 dmriprep/workflows/dwi/util.py      |  48 -------------
 docs/conf.py                        |  14 ++--
 8 files changed, 155 insertions(+), 127 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 56525d49..c1cfc77e 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -62,11 +62,18 @@
     multiple=True
 )
 # specific options for eddy
+@click.option(
+    '--nthreads',
+    default=1,
+    show_default=True,
+    help='Maximum number of threads across all processes',
+    type=int,
+)
 @click.option(
     '--omp_nthreads',
     default=1,
     show_default=True,
-    help='Maximum number of threads for eddy',
+    help='Maximum number of threads per process',
     type=int,
 )
 @click.option(
@@ -136,6 +143,7 @@ def main(
     output_resolution,
     bet_dwi,
     bet_mag,
+    nthreads,
     omp_nthreads,
     eddy_niter,
     synb0_dir,
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index c5d742f9..736ac6bd 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -31,7 +31,7 @@ def init_dmriprep_wf(
     synb0_dir
 ):
     """
-    This workflow organizes the execusion of dMRIPrep, with a sub-workflow for
+    This workflow organizes the execusion of dMRIprep, with a sub-workflow for
     each subject.
 
     .. workflow::
@@ -41,7 +41,19 @@ def init_dmriprep_wf(
     from collections import namedtuple
     from dmriprep.workflows.base import init_dmriprep_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
-    wf = init_dmriprep_wf(subject_list=['dmripreptest'], layout=BIDSLayout('.'), output_dir='.', work_dir='.', ignore=[], b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, synb0_dir='')
+    wf = init_dmriprep_wf(
+        subject_list=['dmripreptest'],
+        layout=BIDSLayout('.'),
+        output_dir='.',
+        work_dir='.',
+        ignore=[],
+        b0_thresh=5,
+        output_resolution=(1, 1, 1),
+        bet_dwi=0.3,
+        bet_mag=0.3,
+        omp_nthreads=1,
+        synb0_dir=''
+    )
 
     Parameters
 
@@ -137,7 +149,20 @@ def init_single_subject_wf(
     from collections import namedtuple
     from dmriprep.workflows.base import init_single_subject_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
-    wf = init_single_subject_wf(subject_id='test', name='single_subject_wf', layout=BIDSLayout, output_dir='.', work_dir='.', ignore=[], b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, synb0_dir='')
+    wf = init_single_subject_wf(
+        subject_id='test',
+        name='single_subject_wf',
+        layout=BIDSLayout,
+        output_dir='.',
+        work_dir='.',
+        ignore=[],
+        b0_thresh=5,
+        output_resolution=(1, 1, 1),
+        bet_dwi=0.3,
+        bet_mag=0.3,
+        omp_nthreads=1,
+        synb0_dir=''
+    )
 
     Parameters
 
@@ -167,14 +192,19 @@ def init_single_subject_wf(
             Direction in which synb0 derivatives are saved
 
     """
-
-    dwi_files = layout.get(
-        subject=subject_id,
-        datatype='dwi',
-        suffix='dwi',
-        extensions=['.nii', '.nii.gz'],
-        return_type='filename'
-    )
+    # for documentation purposes
+    if name in ('single_subject_wf', 'single_subject_dmripreptest_wf'):
+        dwi_files = ['/madeup/path/sub-01_dwi.nii.gz']
+    else:
+        sessions = layout.get_sessions(subject=subject_id)
+
+        dwi_files = layout.get(
+            subject=subject_id,
+            datatype='dwi',
+            suffix='dwi',
+            extensions=['.nii', '.nii.gz'],
+            return_type='filename'
+        )
 
     if not dwi_files:
         raise Exception(
@@ -184,7 +214,7 @@ def init_single_subject_wf(
 
     subject_wf = pe.Workflow(name=name)
 
-    dwi_files = group_dwis(dwi_files, concat_dwis)
+    dwi_files = group_dwis(dwi_files, sessions, concat_dwis)
 
     for dwi_file in dwi_files:
         entities = layout.parse_file_entities(dwi_file)
@@ -268,7 +298,7 @@ def init_single_subject_wf(
     return subject_wf
 
 
-def group_dwis(dwi_files, concat_dwis):
+def group_dwis(dwi_files, sessions, concat_dwis):
 
     all_dwis = []
 
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index ede61f31..ce91af11 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -7,7 +7,6 @@
 
 .. automodule:: dmriprep.workflows.dwi.base
 .. automodule:: dmriprep.workflows.dwi.artifacts
-.. automodule:: dmriprep.workflows.dwi.util
 .. automodule:: dmriprep.workflows.dwi.eddy
 .. automodule:: dmriprep.workflows.dwi.tensor
 .. automodule:: dmriprep.workflows.dwi.outputs
@@ -16,7 +15,6 @@
 
 from .base import init_dwi_preproc_wf
 from .artifacts import init_dwi_artifacts_wf
-from .util import init_dwi_resize_wf
 from .eddy import init_dwi_eddy_wf
 from .tensor import init_dwi_tensor_wf
 from .outputs import init_dwi_derivatives_wf
@@ -24,7 +22,6 @@
 __all__ = [
     'init_dwi_preproc_wf',
     'init_dwi_artifacts_wf',
-    'init_dwi_resize_wf',
     'init_dwi_eddy_wf',
     'init_dwi_tensor_wf',
     'init_dwi_derivatives_wf'
diff --git a/dmriprep/workflows/dwi/artifacts.py b/dmriprep/workflows/dwi/artifacts.py
index 79b74ed8..4a56d755 100644
--- a/dmriprep/workflows/dwi/artifacts.py
+++ b/dmriprep/workflows/dwi/artifacts.py
@@ -1,8 +1,8 @@
 # -*- coding: utf-8 -*-
 
 """
-Artefact removal
-^^^^^^^^^^^^^^^^
+Artefact removal and resizing
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. autofunction:: init_dwi_artifacts_wf
 
@@ -12,7 +12,7 @@
 from nipype.interfaces import mrtrix3, utility as niu
 
 
-def init_dwi_artifacts_wf(ignore):
+def init_dwi_artifacts_wf(ignore, output_resolution):
     """
     This workflow performs denoising and unringing on the input dwi image.
 
@@ -25,7 +25,7 @@ def init_dwi_artifacts_wf(ignore):
         :simple_form: yes
 
         from dmriprep.workflows.dwi import init_dwi_artifacts_wf
-        wf = init_dwi_artifacts_wf(ignore=[])
+        wf = init_dwi_artifacts_wf(ignore=[], output_resolution=(1, 1, 1))
 
     **Parameters**
 
@@ -50,10 +50,14 @@ def init_dwi_artifacts_wf(ignore):
 
     outputnode = pe.Node(niu.IdentityInterface(fields=['out_file']), name='outputnode')
 
+    dwibuffer = pe.Node(niu.IdentityInterface(fields=['dwi_file']), name='dwibuffer')
+
     denoise = pe.Node(mrtrix3.DWIDenoise(), name='denoise')
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name='unring')
 
+    resize = pe.Node(mrtrix3.MRResize(voxel_size=output_resolution), name='resize')
+
     if ignore == ['denoise']:
         wf.connect([
             (inputnode, unring, [('dwi_file', 'in_file')]),
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 7ef99eac..361a75e1 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -14,7 +14,6 @@
 from numba import cuda
 
 from .artifacts import init_dwi_artifacts_wf
-from .util import init_dwi_resize_wf
 from .tensor import init_dwi_tensor_wf
 
 from ..fieldmap.base import init_sdc_prep_wf
@@ -46,8 +45,8 @@ def init_dwi_preproc_wf(
         from dmriprep.workflows.dwi import init_dwi_preproc_wf
         BIDSLayout = namedtuple('BIDSLayout', ['root'])
         wf = init_dwi_preproc_wf(
-            subjectid=,
-            dwi_file=,
+            subjectid='dmripreptest',
+            dwi_file='/madeup/path/sub-01_dwi.nii.gz',
             metadata=,
             layout=BIDSLayout('.'),
             ignore=[],
@@ -56,7 +55,7 @@ def init_dwi_preproc_wf(
             bet_dwi=0.3,
             bet_mag=0.3,
             omp_nthreads=1,
-            synb0_dir='.'
+            synb0_dir=''
         )
 
     """
@@ -140,26 +139,13 @@ def init_dwi_preproc_wf(
 
     dwi_artifacts_wf = init_dwi_artifacts_wf(ignore)
 
-    if output_resolution:
-        dwi_resize_wf = init_dwi_resize_wf(output_resolution)
-
-        dwi_wf.connect(
-            [
-                (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
-                (dwi_artifacts_wf, dwi_resize_wf, [("outputnode.out_file", "inputnode.in_file")]),
-                (dwi_resize_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
-                (dwi_resize_wf, ecc, [("outputnode.out_file", "in_file")])
-            ]
-        )
-
-    else:
-        dwi_wf.connect(
-            [
-                (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
-                (dwi_artifacts_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
-                (dwi_artifacts_wf, ecc, [("outputnode.out_file", "in_file")])
-            ]
-        )
+    dwi_wf.connect(
+        [
+            (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
+            (dwi_artifacts_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
+            (dwi_artifacts_wf, ecc, [("outputnode.out_file", "in_file")])
+        ]
+    )
 
     def gen_index(in_file):
         """
diff --git a/dmriprep/workflows/dwi/eddy.py b/dmriprep/workflows/dwi/eddy.py
index 9ece6ceb..60d820af 100644
--- a/dmriprep/workflows/dwi/eddy.py
+++ b/dmriprep/workflows/dwi/eddy.py
@@ -13,31 +13,73 @@
 from numba import cuda
 
 
-def init_dwi_eddy_wf(omp_nthreads):
+def init_dwi_eddy_wf(omp_nthreads, fmap_type):
+    """
+    This workflow runs eddy on the input dwi image.
 
-    wf = pe.Workflow(name="dwi_eddy_wf")
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_file",
-                                                      "bvec_file",
-                                                      "bval_file",
-                                                      "mask_file",
-                                                      "acqp",
-                                                      "index"]),
-                       name="inputnode")
+        from dmriprep.workflows.dwi import init_dwi_eddy_wf
+        wf = init_dwi_eddy_wf(omp_nthreads=1)
 
-    outputnode = pe.Node(niu.IdentityInterface(fields=["out_file", "out_bvec"]),
-                         name="outputnode")
+    **Parameters**
+
+        omp_nthreads: int
+            Number of threads to run eddy
+
+    **Inputs**
+
+        dwi_file
+            dwi NIfTI file
+        bvec_file
+            bvec file
+        bval_file
+            bval file
+        mask_file
+            brain mask file
+        fieldmap_file
+            fieldmap file
+        topup_fieldcoef
+            topup file containing field coefficients
+        topup_movpar
+            topup movpar.txt file
+        acqp
+            acquisition parameters file
+        index
+            index file
+
+    **Outputs**
+
+        out_file
+            output eddy-corrected dwi image
+        out_bvec
+            output rotated bvecs after eddy correction
+
+    """
+
+    wf = pe.Workflow(name='dwi_eddy_wf')
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=['dwi_file',
+                                                      'bvec_file',
+                                                      'bval_file',
+                                                      'mask_file',
+                                                      'fieldmap_file',
+                                                      'topup_fieldcoef',
+                                                      'topup_movpar',
+                                                      'acqp',
+                                                      'index']),
+                       name='inputnode')
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file', 'out_bvec']),
+                         name='outputnode')
 
     ecc = pe.Node(
-        fsl.Eddy(num_threads=1, repol=True, cnr_maps=True, residuals=True),
-        name="fsl_eddy",
+        fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
+        name='fsl_eddy',
     )
 
-    if omp_nthreads:
-        ecc.inputs.num_threads = omp_nthreads
-
-    # this doesn't work well
-    # recognizes that a computer is cuda capable but failed if cuda isn't loaded
     try:
         if cuda.gpus:
             ecc.inputs.use_cuda = True
@@ -45,14 +87,25 @@ def init_dwi_eddy_wf(omp_nthreads):
         ecc.inputs.use_cuda = False
 
     wf.connect([
-        (inputnode, ecc, [("dwi_file", "in_file"),
-                          ("bval_file", "in_bval"),
-                          ("bvec_file", "in_bvec"),
-                          ("acqp", "in_acqp"),
-                          ("index", "in_index"),
-                          ("mask_file", "in_mask")]),
-        (ecc, outputnode, [("out_corrected", "out_file"),
-                           ("out_rotated_bvecs", "out_bvec")])
+        (inputnode, ecc, [('dwi_file', 'in_file'),
+                          ('bval_file', 'in_bval'),
+                          ('bvec_file', 'in_bvec'),
+                          ('acqp', 'in_acqp'),
+                          ('index', 'in_index'),
+                          ('mask_file', 'in_mask')]),
+        (ecc, outputnode, [('out_corrected', 'out_file'),
+                           ('out_rotated_bvecs', 'out_bvec')])
+        ])
+
+    if fmap_type == 'fieldmap':
+        wf.connect([
+            (inputnode, ecc, [('fieldmap_file', 'field')])
+        ])
+
+    if fmap_type == 'topup':
+        wf.connect([
+            (inputnode, ecc, [('topup_fieldcoef', 'in_topup_fieldcoef'),
+                              ('topup_movpar', 'in_topup_movpar')])
         ])
 
     return wf
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
index 9e680029..c1245bfa 100644
--- a/dmriprep/workflows/dwi/util.py
+++ b/dmriprep/workflows/dwi/util.py
@@ -4,52 +4,4 @@
 Utility workflows
 ^^^^^^^^^^^^^^^^^
 
-.. autofunction:: init_dwi_resize_wf
-
 """
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
-
-
-def init_dwi_resize_wf(output_resolution):
-    """
-    This workflow performs resizes the input image to the desired output resolution.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from dmriprep.workflows.dwi import init_dwi_resize_wf
-        wf = init_dwi_resize_wf(output_resolution=(1, 1, 1))
-
-    **Parameters**
-
-        output_resolution: tuple
-            Tuple of voxel sizes (in mm) in the x, y and z axes
-
-    **Inputs**
-
-        in_file
-            input NIfTI file
-
-    **Outputs**
-
-        out_file
-            output NIfTI file after resizing
-    """
-
-    wf = pe.Workflow(name='dwi_resize_wf')
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=['in_file']), name='inputnode')
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file']), name='outputnode')
-
-    resize = pe.Node(mrtrix3.MRResize(voxel_size=output_resolution), name='resize')
-
-    wf.connect([
-        (inputnode, resize, [('in_file', 'in_file')]),
-        (resize, outputnode, [('out_file', 'out_file')])
-    ])
-
-    return wf
diff --git a/docs/conf.py b/docs/conf.py
index 2e48a71c..190fac70 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -24,8 +24,6 @@
 
 sys.path.insert(0, os.path.abspath('..'))
 
-import dmriprep
-
 # -- General configuration ---------------------------------------------
 
 # If your documentation needs a minimal Sphinx version, state it here.
@@ -57,7 +55,7 @@
 
 # General information about the project.
 project = 'dmriprep'
-author = 'Anisha Keshavan'
+author = 'The dMRIprep developers'
 copyright = '2018-%s, %s' % (datetime.now().year, author)
 
 
@@ -66,9 +64,9 @@
 # the built documents.
 #
 # The short X.Y version.
-version = dmriprep.__version__
+version = u'version'
 # The full version, including alpha/beta/rc tags.
-release = dmriprep.__version__
+release = u'version'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -105,7 +103,7 @@
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named 'default.css' will overwrite the builtin 'default.css'.
-html_static_path = []
+html_static_path = ['_static']
 
 
 # -- Options for HTMLHelp output ---------------------------------------
@@ -143,7 +141,7 @@
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, 'dmriprep', 'dmriprep Documentation', [author], 1)]
+man_pages = [(master_doc, 'dmriprep', u'dmriprep Documentation', [author], 1)]
 
 
 # -- Options for Texinfo output ----------------------------------------
@@ -155,7 +153,7 @@
     (
         master_doc,
         'dmriprep',
-        'dmriprep Documentation',
+        'dMRIprep Documentation',
         author,
         'dmriprep',
         'One line description of project.',

From 8f5c67f54730b7f7acd5552782c0caa0853c270c Mon Sep 17 00:00:00 2001
From: salimansourc <50180399+salimansourc@users.noreply.github.com>
Date: Thu, 29 Aug 2019 17:29:22 -0400
Subject: [PATCH 132/156] Added synb0 explanation to documentation

---
 docs/sdc.rst | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/docs/sdc.rst b/docs/sdc.rst
index d28473b7..181f70da 100644
--- a/docs/sdc.rst
+++ b/docs/sdc.rst
@@ -18,3 +18,17 @@ Correction Methods
   5. nonlinear registration
 
   6. synthetic b0
+  
+  The synb0 method is based off of this `paper <https://www.sciencedirect.com/science/article/abs/pii/S0730725X18306179/>`_. It offers an alternative method of SDC by using deep learning on an anatomical image (T1).
+  
+  You can use it in this pipeline by generating the synb0s for the subject(s) and passing the bids-like directory containing them to the --synb0_dir parameter. To find out how to generate the synb0s, you can visit our `forked repo <https://github.com/TIGRLab/Synb0-DISCO>`_.
+  
+  Once you have a directory of synb0s (recommended to place as derivatives of bids folder, ex. bids/derivatives/synb0/sub-XX), then you are ready to run the pipeline using them! Just run dmripreproc as you usually would, with bids_dir and output_dir, but now add "--synb0_dir <your_synb0_directory>" to your command. 
+    
+  The synb0 acqp for topup and eddy will be automatically generated in the pipeline in the following format:
+  
+  0 -1 0 <total_readout_time>
+  
+  0 1 0 0
+  
+  If you want to overwrite the total_readout_time with one of your own, simply add "--total_readout <new_trt_time>" to your command.

From cfb9b9f6b60e3e37506305350498ed27dd7bec15 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 29 Aug 2019 18:48:57 -0400
Subject: [PATCH 133/156] mass updates

---
 dmriprep/cli.py                     |  20 +-
 dmriprep/data/boilerplate.bib       |  12 ++
 dmriprep/data/eddy_parameters.json  |  27 +++
 dmriprep/due.py                     |  74 +++++++
 dmriprep/interfaces/mrtrix3.py      | 303 ----------------------------
 dmriprep/utils/bids.py              |  29 +++
 dmriprep/workflows/base.py          |  63 +++---
 dmriprep/workflows/dwi/artifacts.py |  76 +++++--
 dmriprep/workflows/dwi/base.py      |   8 +-
 dmriprep/workflows/dwi/qc.py        | 238 ++++++++++++++++++++++
 docs/dmriprep.interfaces.rst        |  16 --
 docs/dmriprep.rst                   |   8 +
 setup.cfg                           |   2 +-
 13 files changed, 508 insertions(+), 368 deletions(-)
 create mode 100644 dmriprep/data/eddy_parameters.json
 create mode 100644 dmriprep/due.py
 delete mode 100644 dmriprep/interfaces/mrtrix3.py
 create mode 100644 dmriprep/workflows/dwi/qc.py

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index c1cfc77e..9a0b66cf 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -40,13 +40,26 @@
     'sub-<participant_label> from the BIDS spec (the "sub-" '
     'prefix can be removed). If this parameter is not provided '
     'all subjects will be analyzed. Multiple participants '
-    'can be specified with a space delimited list.'
+    'can be specified with a space delimited list.',
+    multiple=True
+)
+@click.option(
+    '--session_label',
+    default=None,
+    help='The label(s) of session(s) that should be analyzed. '
+         'the label corresponds to ses-<session_label from the '
+         'BIDS spec (the "ses-" prefix can be removed). If this '
+         'parameter is not provided, all sessions will be '
+         'analyzed. Multiple sessions can be specified with '
+         'a space delimited list.',
+    multiple=True
 )
 # options for prepping dwi scans
 @click.option(
     '--concat_dwis',
     default=None,
     help='A space delimited list of acq-<label>',
+    multiple=True
 )
 @click.option(
     '--b0_thresh',
@@ -115,7 +128,7 @@
     '--ignore',
     '-i',
     help='Specify which node(s) to skip during the preprocessing of the dwi.',
-    type=click.Choice(['denoise', 'unring', 'fieldmaps']),
+    type=click.Choice(['denoising', 'unringing', 'fieldmaps']),
     multiple=True,
 )
 @click.option(
@@ -132,6 +145,7 @@
 )
 def main(
     participant_label,
+    session_label,
     bids_dir,
     output_dir,
     analysis_level,
@@ -185,6 +199,7 @@ def main(
 
     wf = init_dmriprep_wf(
         subject_list=subject_list,
+        session_list=session_label,
         layout=layout,
         output_dir=output_dir,
         work_dir=work_dir,
@@ -194,6 +209,7 @@ def main(
         output_resolution=output_resolution,
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
+        nthreads=nthreads,
         omp_nthreads=omp_nthreads,
         synb0_dir=synb0_dir
     )
diff --git a/dmriprep/data/boilerplate.bib b/dmriprep/data/boilerplate.bib
index 2b9706ce..d347c626 100644
--- a/dmriprep/data/boilerplate.bib
+++ b/dmriprep/data/boilerplate.bib
@@ -1,3 +1,15 @@
+@article{van2011numpy,
+        title={The NumPy array: a structure for efficient numerical computation},
+        author={Van Der Walt, Stefan and Colbert, S Chris and Varoquaux, Gael},
+        journal={Computing in Science \& Engineering},
+        volume={13},
+        number={2},
+        pages={22--30},
+        year={2011},
+        publisher={AIP Publishing},
+        doi={10.1109/MCSE.2011.37}
+        }
+
 @article{nipype1,
     author = {Gorgolewski, K. and Burns, C. D. and Madison, C. and Clark, D. and Halchenko, Y. O. and Waskom, M. L. and Ghosh, S.},
     doi = {10.3389/fninf.2011.00013},
diff --git a/dmriprep/data/eddy_parameters.json b/dmriprep/data/eddy_parameters.json
new file mode 100644
index 00000000..0c7b08f9
--- /dev/null
+++ b/dmriprep/data/eddy_parameters.json
@@ -0,0 +1,27 @@
+{
+    "flm": "quadratic",
+    "slm": "none",
+    "fwhm": 0,
+    "niter": 5,
+    "fep": false,
+    "interp": "spline",
+    "method": "jac",
+    "nvoxhp": 1000,
+    "fudge_factor": 10,
+    "dont_sep_offs_move": false,
+    "dont_peas": false,
+    "repol": true,
+    "outlier_nstd": 4,
+    "outlier_nvox": 250,
+    "outlier_type": "sw",
+    "outlier_pos": false,
+    "outlier_sqr": false,
+    "estimate_mov_by_susceptibility": false,
+    "is_shelled": false,
+    "num_threads": 1,
+    "use_cuda": false,
+    "cnr_maps": true,
+    "residuals": true,
+    "output_type": "NIFTI_GZ",
+    "args": ""
+}
diff --git a/dmriprep/due.py b/dmriprep/due.py
new file mode 100644
index 00000000..9a1c4dd0
--- /dev/null
+++ b/dmriprep/due.py
@@ -0,0 +1,74 @@
+# emacs: at the end of the file
+# ex: set sts=4 ts=4 sw=4 et:
+# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### #
+"""
+
+Stub file for a guaranteed safe import of duecredit constructs:  if duecredit
+is not available.
+
+To use it, place it into your project codebase to be imported, e.g. copy as
+
+    cp stub.py /path/tomodule/module/due.py
+
+Note that it might be better to avoid naming it duecredit.py to avoid shadowing
+installed duecredit.
+
+Then use in your code as
+
+    from .due import due, Doi, BibTeX, Text
+
+See  https://github.com/duecredit/duecredit/blob/master/README.md for examples.
+
+Origin:     Originally a part of the duecredit
+Copyright:  2015-2019  DueCredit developers
+License:    BSD-2
+"""
+
+__version__ = '0.0.8'
+
+
+class InactiveDueCreditCollector(object):
+    """Just a stub at the Collector which would not do anything"""
+    def _donothing(self, *args, **kwargs):
+        """Perform no good and no bad"""
+        pass
+
+    def dcite(self, *args, **kwargs):
+        """If I could cite I would"""
+        def nondecorating_decorator(func):
+            return func
+        return nondecorating_decorator
+
+    active = False
+    activate = add = cite = dump = load = _donothing
+
+    def __repr__(self):
+        return self.__class__.__name__ + '()'
+
+
+def _donothing_func(*args, **kwargs):
+    """Perform no good and no bad"""
+    pass
+
+
+try:
+    from duecredit import due, BibTeX, Doi, Url, Text
+    if 'due' in locals() and not hasattr(due, 'cite'):
+        raise RuntimeError(
+            "Imported due lacks .cite. DueCredit is now disabled")
+except Exception as e:
+    if not isinstance(e, ImportError):
+        import logging
+        logging.getLogger("duecredit").error(
+            "Failed to import duecredit due to %s" % str(e))
+    # Initiate due stub
+    due = InactiveDueCreditCollector()
+    BibTeX = Doi = Url = Text = _donothing_func
+
+# Emacs mode definitions
+# Local Variables:
+# mode: python
+# py-indent-offset: 4
+# tab-width: 4
+# indent-tabs-mode: nil
+# End:
diff --git a/dmriprep/interfaces/mrtrix3.py b/dmriprep/interfaces/mrtrix3.py
deleted file mode 100644
index ea0ec0f0..00000000
--- a/dmriprep/interfaces/mrtrix3.py
+++ /dev/null
@@ -1,303 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function, division, unicode_literals, absolute_import
-
-from nipype.interfaces.base import traits, TraitedSpec, File
-from nipype.interfaces.mrtrix3.base import MRTrix3BaseInputSpec, MRTrix3Base
-
-
-class DWIDenoiseInputSpec(MRTrix3BaseInputSpec):
-    in_file = File(
-        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
-    )
-    mask = File(exists=True, argstr="-mask %s", position=1, desc="mask image")
-    extent = traits.Tuple(
-        (traits.Int, traits.Int, traits.Int),
-        argstr="-extent %d,%d,%d",
-        desc="set the window size of the denoising filter. (default = 5,5,5)",
-    )
-    noise = File(
-        argstr="-noise %s",
-        name_template="%s_noise",
-        name_source="in_file",
-        keep_extension=True,
-        desc="the output noise map",
-    )
-    out_file = File(
-        argstr="%s",
-        position=-1,
-        name_template="%s_denoised",
-        name_source="in_file",
-        keep_extension=True,
-        desc="the output denoised DWI image",
-    )
-
-
-class DWIDenoiseOutputSpec(TraitedSpec):
-    noise = File(desc="the output noise map", exists=True)
-    out_file = File(desc="the output denoised DWI image", exists=True)
-
-
-class DWIDenoise(MRTrix3Base):
-    """
-    Denoise DWI data and estimate the noise level based on the optimal
-    threshold for PCA.
-
-    DWI data denoising and noise map estimation by exploiting data redundancy
-    in the PCA domain using the prior knowledge that the eigenspectrum of
-    random covariance matrices is described by the universal Marchenko Pastur
-    distribution.
-
-    Important note: image denoising must be performed as the first step of the
-    image processing pipeline. The routine will fail if interpolation or
-    smoothing has been applied to the data prior to denoising.
-
-    Note that this function does not correct for non-Gaussian noise biases.
-
-    For more information, see
-    <https://mrtrix.readthedocs.io/en/latest/reference/commands/dwidenoise.html>
-
-    Example
-    -------
-
-    >>> import nipype.interfaces.mrtrix3 as mrt
-    >>> denoise = mrt.DWIDenoise()
-    >>> denoise.inputs.in_file = 'dwi.mif'
-    >>> denoise.inputs.mask = 'mask.mif'
-    >>> denoise.inputs.noise = 'noise.mif'
-    >>> denoise.cmdline                               # doctest: +ELLIPSIS
-    'dwidenoise -mask mask.mif -noise noise.mif dwi.mif dwi_denoised.mif'
-    >>> denoise.run()                                 # doctest: +SKIP
-    """
-
-    _cmd = "dwidenoise"
-    input_spec = DWIDenoiseInputSpec
-    output_spec = DWIDenoiseOutputSpec
-
-
-class MRDeGibbsInputSpec(MRTrix3BaseInputSpec):
-    in_file = File(
-        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
-    )
-    axes = traits.ListInt(
-        default_value=[0, 1],
-        usedefault=True,
-        sep=",",
-        minlen=2,
-        maxlen=2,
-        argstr="-axes %s",
-        desc="indicate the plane in which the data was acquired (axial = 0,1; "
-        "coronal = 0,2; sagittal = 1,2",
-    )
-    nshifts = traits.Int(
-        default_value=20,
-        usedefault=True,
-        argstr="-nshifts %d",
-        desc="discretization of subpixel spacing (default = 20)",
-    )
-    minW = traits.Int(
-        default_value=1,
-        usedefault=True,
-        argstr="-minW %d",
-        desc="left border of window used for total variation (TV) computation "
-        "(default = 1)",
-    )
-    maxW = traits.Int(
-        default_value=3,
-        usedefault=True,
-        argstr="-maxW %d",
-        desc="right border of window used for total variation (TV) computation "
-        "(default = 3)",
-    )
-    out_file = File(
-        name_template="%s_unr",
-        name_source="in_file",
-        keep_extension=True,
-        argstr="%s",
-        position=-1,
-        desc="the output unringed DWI image",
-    )
-
-
-class MRDeGibbsOutputSpec(TraitedSpec):
-    out_file = File(desc="the output unringed DWI image", exists=True)
-
-
-class MRDeGibbs(MRTrix3Base):
-    """
-    Remove Gibbs ringing artifacts.
-
-    This application attempts to remove Gibbs ringing artefacts from MRI images
-    using the method of local subvoxel-shifts proposed by Kellner et al.
-
-    This command is designed to run on data directly after it has been
-    reconstructed by the scanner, before any interpolation of any kind has
-    taken place. You should not run this command after any form of motion
-    correction (e.g. not after dwipreproc). Similarly, if you intend running
-    dwidenoise, you should run this command afterwards, since it has the
-    potential to alter the noise structure, which would impact on dwidenoise's
-    performance.
-
-    Note that this method is designed to work on images acquired with full
-    k-space coverage. Running this method on partial Fourier ('half-scan') data
-    may lead to suboptimal and/or biased results, as noted in the original
-    reference below. There is currently no means of dealing with this; users
-    should exercise caution when using this method on partial Fourier data, and
-    inspect its output for any obvious artefacts.
-
-    For more information, see
-    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrdegibbs.html>
-
-    Example
-    -------
-
-    >>> import nipype.interfaces.mrtrix3 as mrt
-    >>> unring = mrt.MRDeGibbs()
-    >>> unring.inputs.in_file = 'dwi.mif'
-    >>> unring.cmdline
-    'mrdegibbs -axes 0,1 -maxW 3 -minW 1 -nshifts 20 dwi.mif dwi_unr.mif'
-    >>> unring.run()                                 # doctest: +SKIP
-    """
-
-    _cmd = "mrdegibbs"
-    input_spec = MRDeGibbsInputSpec
-    output_spec = MRDeGibbsOutputSpec
-
-
-class DWIBiasCorrectInputSpec(MRTrix3BaseInputSpec):
-    in_file = File(
-        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
-    )
-    in_mask = File(argstr="-mask %s", desc="input mask image for bias field estimation")
-    use_ants = traits.Bool(
-        argstr="-ants",
-        mandatory=True,
-        desc="use ANTS N4 to estimate the inhomogeneity field",
-        xor=["use_fsl"],
-    )
-    use_fsl = traits.Bool(
-        argstr="-fsl",
-        mandatory=True,
-        desc="use FSL FAST to estimate the inhomogeneity field",
-        xor=["use_ants"],
-    )
-    bias = File(argstr="-bias %s", desc="bias field")
-    out_file = File(
-        name_template="%s_biascorr",
-        name_source="in_file",
-        keep_extension=True,
-        argstr="%s",
-        position=-1,
-        desc="the output bias corrected DWI image",
-        genfile=True,
-    )
-
-
-class DWIBiasCorrectOutputSpec(TraitedSpec):
-    bias = File(desc="the output bias field", exists=True)
-    out_file = File(desc="the output bias corrected DWI image", exists=True)
-
-
-class DWIBiasCorrect(MRTrix3Base):
-    """
-    Perform B1 field inhomogeneity correction for a DWI volume series.
-
-    For more information, see
-    <https://mrtrix.readthedocs.io/en/latest/reference/scripts/dwibiascorrect.html>
-
-    Example
-    -------
-
-    >>> import nipype.interfaces.mrtrix3 as mrt
-    >>> bias_correct = mrt.DWIBiasCorrect()
-    >>> bias_correct.inputs.in_file = 'dwi.mif'
-    >>> bias_correct.inputs.use_ants = True
-    >>> bias_correct.cmdline
-    'dwibiascorrect -ants dwi.mif dwi_biascorr.mif'
-    >>> bias_correct.run()                             # doctest: +SKIP
-    """
-
-    _cmd = "dwibiascorrect"
-    input_spec = DWIBiasCorrectInputSpec
-    output_spec = DWIBiasCorrectOutputSpec
-
-
-class MRResizeInputSpec(MRTrix3BaseInputSpec):
-    in_file = File(
-        exists=True, argstr="%s", position=-2, mandatory=True, desc="input DWI image"
-    )
-    image_size = traits.Tuple(
-        (traits.Int, traits.Int, traits.Int),
-        argstr="-size %d,%d,%d",
-        mandatory=True,
-        desc="define the new image size for the output image. This should be "
-        "specified as a comma-separated list.",
-        xor=["voxel_size", "scale_factor"],
-    )
-    voxel_size = traits.Tuple(
-        (traits.Float, traits.Float, traits.Float),
-        argstr="-voxel %d,%d,%d",
-        mandatory=True,
-        desc="define the new voxel size for the output image. This can be "
-        "specified either as a single value to be used for all "
-        "dimensions, or as a comma-separated list of the size for each "
-        "voxel dimension.",
-        xor=["image_size", "scale_factor"],
-    )
-    scale_factor = traits.Tuple(
-        (traits.Float, traits.Float, traits.Float),
-        argstr="-scale %d,%d,%d",
-        mandatory=True,
-        desc="scale the image resolution by the supplied factor. This can be "
-        "specified either as a single value to be used for all "
-        "dimensions, or as a comma-separated list of scale factors for "
-        "each dimension.",
-        xor=["image_size", "voxel_size"],
-    )
-    interp = traits.Enum(
-        "cubic",
-        "nearest",
-        "linear",
-        "sinc",
-        usedefault=True,
-        argstr="-interp %s",
-        desc="set the interpolation method to use when resizing (choices: "
-        "nearest, linear, cubic, sinc. Default: cubic).",
-    )
-
-    out_file = File(
-        argstr="%s",
-        name_template="%s_resized",
-        name_source=["in_file"],
-        keep_extension=True,
-        position=-1,
-        desc="the output resized DWI image",
-    )
-
-
-class MRResizeOutputSpec(TraitedSpec):
-    out_file = File(desc="the output resized DWI image", exists=True)
-
-
-class MRResize(MRTrix3Base):
-    """
-    Resize an image by defining the new image resolution, voxel size or a
-    scale factor. If the image is 4D, then only the first 3 dimensions can be
-    resized. Also, if the image is down-sampled, the appropriate smoothing is
-    automatically applied using Gaussian smoothing.
-    For more information, see
-    <https://mrtrix.readthedocs.io/en/latest/reference/commands/mrresize.html>
-    Example
-    -------
-    >>> import nipype.interfaces.mrtrix3 as mrt
-    >>> resize = mrt.MRResize()
-    >>> resize.inputs.in_file = 'dwi.mif'
-    >>> resize.inputs.scale_factor = 2
-    >>> resize.cmdline                               # doctest: +ELLIPSIS
-    'mrresize -scale 2 dwi.mif dwi_resized.mif'
-    >>> resize.run()                                 # doctest: +SKIP
-    """
-
-    _cmd = "mrresize"
-    input_spec = MRResizeInputSpec
-    output_spec = MRResizeOutputSpec
diff --git a/dmriprep/utils/bids.py b/dmriprep/utils/bids.py
index 4eb9c78f..9038e18b 100644
--- a/dmriprep/utils/bids.py
+++ b/dmriprep/utils/bids.py
@@ -114,6 +114,35 @@ def collect_participants(
     return all_participants, found_label
 
 
+def collect_data(bids_dir, participant_label, session_label=None, bids_validate=True):
+    """
+    Uses pybids to retrieve the input data for a given participant
+    """
+
+    if isinstance(bids_dir, BIDSLayout):
+        layout = bids_dir
+    else:
+        layout = BIDSLayout(str(bids_dir), validate=bids_validate)
+
+    queries = {
+        'fmap': {'datatype': 'fmap'},
+        'dwi': {'datatype': 'dwi', 'suffix': 'dwi'},
+        't1w': {'datatype': 'anat', 'suffix': 'T1w'}
+    }
+
+    if not session_label:
+        session_label = layout.get_sessions()
+
+    subj_data = {
+        dtype: sorted(layout.get(return_type='file',
+                                 subject=participant_label,
+                                 session=session_label,
+                                 extension=['nii', 'nii.gz'], **query))
+        for dtype, query in queries.items()}
+
+    return subj_data, layout
+
+
 def validate_input_dir(bids_dir, all_subjects, subject_list):
     # Ignore issues and warnings that should not influence DMRIPREP
     import tempfile
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 736ac6bd..fc6ccdd5 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -13,11 +13,14 @@
 from copy import deepcopy
 
 from nipype.pipeline import engine as pe
+
+from .utils.bids import collect_data
 from .dwi import init_dwi_preproc_wf, init_dwi_derivatives_wf
 
 
 def init_dmriprep_wf(
     subject_list,
+    session_list,
     layout,
     output_dir,
     work_dir,
@@ -27,6 +30,7 @@ def init_dmriprep_wf(
     output_resolution,
     bet_dwi,
     bet_mag,
+    nthreads,
     omp_nthreads,
     synb0_dir
 ):
@@ -42,23 +46,27 @@ def init_dmriprep_wf(
     from dmriprep.workflows.base import init_dmriprep_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
     wf = init_dmriprep_wf(
-        subject_list=['dmripreptest'],
-        layout=BIDSLayout('.'),
-        output_dir='.',
-        work_dir='.',
-        ignore=[],
-        b0_thresh=5,
-        output_resolution=(1, 1, 1),
-        bet_dwi=0.3,
-        bet_mag=0.3,
-        omp_nthreads=1,
-        synb0_dir=''
+      subject_list=['dmripreptest'],
+      session_list=[],
+      layout=BIDSLayout('.', validate=False),
+      output_dir='.',
+      work_dir='.',
+      ignore=[],
+      b0_thresh=5,
+      output_resolution=(1, 1, 1),
+      bet_dwi=0.3,
+      bet_mag=0.3,
+      nthreads=4,
+      omp_nthreads=1,
+      synb0_dir='.'
     )
 
     Parameters
 
         subject_list: list
             List of subject labels
+        session_list: list
+            List of session labels
         layout: BIDSLayout object
             BIDS dataset layout
         output_dir: str
@@ -77,6 +85,8 @@ def init_dmriprep_wf(
             Fractional intensity threshold for BET on dwi image
         bet_mag: float
             Fractional intensity threshold for BET on magnitude image
+        nthreads: int
+            Maximum number of threads to use
         omp_nthreads: int
             Maximum number of threads an individual process may use
         synb0_dir: str
@@ -90,6 +100,7 @@ def init_dmriprep_wf(
 
         single_subject_wf = init_single_subject_wf(
             subject_id=subject_id,
+            session_list=session_list,
             name='single_subject_' + subject_id + '_wf',
             layout=layout,
             output_dir=output_dir,
@@ -121,6 +132,7 @@ def init_dmriprep_wf(
 
 def init_single_subject_wf(
     subject_id,
+    session_list,
     name,
     layout,
     output_dir,
@@ -151,6 +163,7 @@ def init_single_subject_wf(
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
     wf = init_single_subject_wf(
         subject_id='test',
+        session_list=[],
         name='single_subject_wf',
         layout=BIDSLayout,
         output_dir='.',
@@ -168,6 +181,8 @@ def init_single_subject_wf(
 
         subject_id: str
             Single subject label
+        session_list: list
+            List of sessions
         layout: BIDSLayout object
             BIDS dataset layout
         output_dir: str
@@ -189,33 +204,27 @@ def init_single_subject_wf(
         omp_nthreads: int
             Maximum number of threads an individual process may use
         synb0_dir: str
-            Direction in which synb0 derivatives are saved
+            Directory in which synb0 derivatives are saved
 
     """
     # for documentation purposes
     if name in ('single_subject_wf', 'single_subject_dmripreptest_wf'):
-        dwi_files = ['/madeup/path/sub-01_dwi.nii.gz']
+        subject_data = {
+            't1w': ['/madeup/path/sub-01_T1w.nii.gz'],
+            'dwi': ['/madeup/path/sub-01_dwi.nii.gz']
+        }
     else:
-        sessions = layout.get_sessions(subject=subject_id)
-
-        dwi_files = layout.get(
-            subject=subject_id,
-            datatype='dwi',
-            suffix='dwi',
-            extensions=['.nii', '.nii.gz'],
-            return_type='filename'
-        )
+        subject_data = collect_data(layout, subject_id, session_list)
 
-    if not dwi_files:
+    if subject_data['dwi'] == []:
         raise Exception(
-            'No dwi images found for participant {}. '
-            'All workflows require dwi images'.format(subject_id)
+            'No dwi images found for participant {} in session {}. '
+            'All workflows require dwi images'.format(
+                subject_id, session_list if session_list else '<all>')
         )
 
     subject_wf = pe.Workflow(name=name)
 
-    dwi_files = group_dwis(dwi_files, sessions, concat_dwis)
-
     for dwi_file in dwi_files:
         entities = layout.parse_file_entities(dwi_file)
         if 'session' in entities:
diff --git a/dmriprep/workflows/dwi/artifacts.py b/dmriprep/workflows/dwi/artifacts.py
index 4a56d755..e1204f16 100644
--- a/dmriprep/workflows/dwi/artifacts.py
+++ b/dmriprep/workflows/dwi/artifacts.py
@@ -11,15 +11,49 @@
 from nipype.pipeline import engine as pe
 from nipype.interfaces import mrtrix3, utility as niu
 
+from dmriprep.due import due, BibTeX
 
+
+@due.dcite(BibTeX(
+    """
+    @article{denoise1,
+    title = {Denoising of diffusion MRI using random matrix theory},
+    volume = {142},
+    doi = {10.1016/j.neuroimage.2016.08.016},
+    journal = {NeuroImage},
+    author = {Veraart, J.; Novikov, D.S.; Christiaens, D.; Ades-aron, B.; Sijbers, J. & Fieremans, E.},
+    year = {2016},
+    pages = {394-406}}
+    """),
+    description='Denoising algorithm')
+@due.dcite(BibTeX(
+    """
+    @article{denoise2,
+    title = {Diffusion MRI noise mapping using random matrix theory},
+    volume = {76},
+    doi = {10.1002/mrm.26059},
+    journal = {Magnetic Resonance in Medicine},
+    author = {Veraart, J.; Fieremans, E. & Novikov, D.S.},
+    year = {2016},
+    pages = {1582-1593}}
+    """),
+    description='Denoising algorithm')
+@due.dcite(BibTeX(
+    """
+    @article{unring,
+    title = {Gibbs-ringing artifact removal based on local subvoxel-shifts},
+    volume = {76},
+    doi = {10.1002/mrm.26054},
+    journal = {Magnetic Resonance in Medicine},
+    author = {Kellner, E; Dhital, B; Kiselev, V.G & Reisert, M.},
+    year = {2016},
+    pages = {1574–1581}}
+    """),
+    description='Unringing algorithm')
 def init_dwi_artifacts_wf(ignore, output_resolution):
     """
     This workflow performs denoising and unringing on the input dwi image.
 
-    Denoising is done using Mrtrix3's implementation of the MP-PCA
-    algorithm @denoise1 and @denoise2.
-    Unringing is done using Mrtrix3 @unring.
-
     .. workflow::
         :graph2use: orig
         :simple_form: yes
@@ -29,17 +63,17 @@ def init_dwi_artifacts_wf(ignore, output_resolution):
 
     **Parameters**
 
-        ignore: list
+        ignore : :obj:`list`
             List of artefact removal steps to skip (default: [])
 
     **Inputs**
 
-        dwi_file
+        dwi_file : :obj:`str`
             dwi NIfTI file
 
     **Outputs**
 
-        out_file
+        out_file : :obj:`str`
             dwi NIfTI file after artefact removal
 
     """
@@ -56,30 +90,42 @@ def init_dwi_artifacts_wf(ignore, output_resolution):
 
     unring = pe.Node(mrtrix3.MRDeGibbs(), name='unring')
 
-    resize = pe.Node(mrtrix3.MRResize(voxel_size=output_resolution), name='resize')
+    resize = pe.Node(mrtrix3.MRResize(), name='resize')
 
-    if ignore == ['denoise']:
+    if ignore == ['denoising']:
         wf.connect([
             (inputnode, unring, [('dwi_file', 'in_file')]),
-            (unring, outputnode, [('out_file', 'out_file')])
+            (unring, dwibuffer, [('out_file', 'dwi_file')])
         ])
 
-    elif ignore == ['unring']:
+    elif ignore == ['unringing']:
         wf.connect([
             (inputnode, denoise, [('dwi_file', 'in_file')]),
-            (denoise, outputnode, [('out_file', 'out_file')])
+            (denoise, dwibuffer, [('out_file', 'dwi_file')])
         ])
 
-    elif ['denoise', 'unring'] in ignore:
+    elif ['denoising', 'unringing'] in ignore:
         wf.connect([
-            (inputnode, outputnode, 'dwi_file', 'out_file')
+            (inputnode, dwibuffer, 'dwi_file', 'dwi_file')
         ])
 
     else:
         wf.connect([
             (inputnode, denoise, [('dwi_file', 'in_file')]),
             (denoise, unring, [('out_file', 'in_file')]),
-            (unring, outputnode, [('out_file', 'out_file')])
+            (unring, dwibuffer, [('out_file', 'dwi_file')])
+        ])
+
+    if output_resolution:
+        resize.inputs.voxel_size = output_resolution
+        wf.connect([
+            (dwibuffer, resize, [('dwi_file', 'in_file')]),
+            (resize, outputnode, [('out_file', 'out_file')])
+        ])
+
+    else:
+        wf.connect([
+            (dwibuffer, outputnode, [('dwi_file', 'out_file')])
         ])
 
     return wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 361a75e1..10fb0ed0 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -31,6 +31,7 @@ def init_dwi_preproc_wf(
     output_resolution,
     bet_dwi,
     bet_mag,
+    nthreads,
     omp_nthreads,
     synb0_dir
 ):
@@ -54,8 +55,9 @@ def init_dwi_preproc_wf(
             output_resolution=(1, 1, 1),
             bet_dwi=0.3,
             bet_mag=0.3,
+            nthreads=4,
             omp_nthreads=1,
-            synb0_dir=''
+            synb0_dir='.'
         )
 
     """
@@ -98,8 +100,6 @@ def init_dwi_preproc_wf(
         synb0,
     )
 
-
-
     inputnode = pe.Node(
         niu.IdentityInterface(
             fields=[
@@ -137,7 +137,7 @@ def init_dwi_preproc_wf(
         name="outputnode",
     )
 
-    dwi_artifacts_wf = init_dwi_artifacts_wf(ignore)
+    dwi_artifacts_wf = init_dwi_artifacts_wf(ignore, output_resolution)
 
     dwi_wf.connect(
         [
diff --git a/dmriprep/workflows/dwi/qc.py b/dmriprep/workflows/dwi/qc.py
new file mode 100644
index 00000000..b6663f22
--- /dev/null
+++ b/dmriprep/workflows/dwi/qc.py
@@ -0,0 +1,238 @@
+import base64
+import os.path as op
+from io import BytesIO
+
+import matplotlib
+matplotlib.use('agg')
+import matplotlib.pyplot as plt
+import nibabel as nib
+import numpy as np
+
+from dipy.segment.mask import median_otsu
+from nipype.utils.filemanip import save_json, load_json
+
+
+def reorient_array(data, aff):
+    # rearrange the matrix to RAS orientation
+    orientation = nib.orientations.io_orientation(aff)
+    data_RAS = nib.orientations.apply_orientation(data, orientation)
+    # In RAS
+    return nib.orientations.apply_orientation(
+        data_RAS,
+        nib.orientations.axcodes2ornt("IPL")
+    )
+
+
+def mplfig(data, outfile=None, as_bytes=False):
+    fig = plt.figure(frameon=False, dpi=data.shape[0])
+    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
+    ax = plt.Axes(fig, [0., 0., 1., 1.])
+    ax.set_axis_off()
+    fig.add_axes(ax)
+    ax.imshow(data, aspect=1, cmap=plt.cm.Greys_r)  # previous aspect="normal"
+    if outfile:
+        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
+        plt.close()
+        return outfile
+    if as_bytes:
+        IObytes = BytesIO()
+        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
+        IObytes.seek(0)
+        base64_jpgData = base64.b64encode(IObytes.read())
+        return base64_jpgData.decode("ascii")
+
+
+def mplfigcontour(data, outfile=None, as_bytes=False):
+    fig = plt.figure(frameon=False)
+    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
+    ax = plt.Axes(fig, [0., 0., 1., 1.])
+    ax.set_axis_off()
+    fig.add_axes(ax)
+
+    bg = np.zeros(data.shape)
+    bg[:] = np.nan
+    ax.imshow(bg, aspect=1, cmap=plt.cm.Greys_r)  # used to be aspect="normal"
+    ax.contour(data, colors="red", linewidths=0.1)
+    if outfile:
+        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
+        plt.close()
+        return outfile
+    if as_bytes:
+        IObytes = BytesIO()
+        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
+        IObytes.seek(0)
+        base64_jpgData = base64.b64encode(IObytes.read())
+        return base64_jpgData.decode("ascii")
+
+
+def load_and_reorient(filename):
+    img = nib.load(filename)
+    data, aff = img.get_data(), img.affine
+    data = reorient_array(data, aff)
+    return data
+
+
+def reshape3D(data, n=256):
+    return np.pad(data, (
+        (
+            (n-data.shape[0]) // 2,
+            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
+        ),
+        (
+            (n-data.shape[1]) // 2,
+            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
+        ),
+        (0, 0)
+    ), "constant", constant_values=(0, 0))
+
+
+def reshape4D(data, n=256):
+    return np.pad(data, (
+        (
+            (n-data.shape[0]) // 2,
+            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
+        ),
+        (
+            (n-data.shape[1]) // 2,
+            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
+        ),
+        (0, 0), (0, 0)
+    ), "constant", constant_values=(0, 0))
+
+
+def get_middle_slices(data, slice_direction):
+    slicer = {"ax": 0, "cor": 1, "sag": 2}
+    all_data_slicer = [slice(None), slice(None), slice(None)]
+    num_slices = data.shape[slicer[slice_direction]]
+    slice_num = int(num_slices / 2)
+    all_data_slicer[slicer[slice_direction]] = slice_num
+    tile = data[tuple(all_data_slicer)]
+
+    # make it a square
+    N = max(tile.shape[:2])
+    tile = reshape3D(tile, N)
+
+    return tile
+
+
+def nearest_square(limit):
+    answer = 0
+    while (answer+1)**2 < limit:
+        answer += 1
+    if (answer ** 2) == limit:
+        return answer
+    else:
+        return answer + 1
+
+
+def create_sprite_from_tiles(tile, out_file=None, as_bytes=False):
+    num_slices = tile.shape[-1]
+    N = nearest_square(num_slices)
+    M = int(np.ceil(num_slices/N))
+    # tile is square, so just make a big arr
+    pix = tile.shape[0]
+
+    if len(tile.shape) == 3:
+        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0]))
+    else:
+        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0], tile.shape[-2]))
+
+    mosaic[:] = np.nan
+    helper = np.arange(N*M).reshape((N, M))
+
+    for t in range(num_slices):
+        x, y = np.nonzero(helper == t)
+        xmin = x[0] * pix
+        xmax = (x[0] + 1) * pix
+        ymin = y[0] * pix
+        ymax = (y[0] + 1) * pix
+
+        if len(tile.shape) == 3:
+            mosaic[xmin:xmax, ymin:ymax] = tile[:, :, t]
+        else:
+            mosaic[xmin:xmax, ymin:ymax, :] = tile[:, :, :, t]
+
+    if as_bytes:
+        img = mplfig(mosaic, out_file, as_bytes=as_bytes)
+        return dict(img=img, N=N, M=M, pix=pix, num_slices=num_slices)
+
+    if out_file:
+        img = mplfig(mosaic, out_file), N, M, pix, num_slices
+
+    return dict(mosaic=mosaic, N=N, M=M, pix=pix, num_slices=num_slices)
+
+
+def createSprite4D(dwi_file):
+
+    # initialize output dict
+    output = []
+
+    # load the file
+    dwi = load_and_reorient(dwi_file)[:, :, :, 1:]
+
+    # create tiles from center slice on each orientation
+    for orient in ['sag', 'ax', 'cor']:
+        tile = get_middle_slices(dwi, orient)
+
+        # create sprite images for each
+        results = create_sprite_from_tiles(tile, as_bytes=True)
+        results['img_type'] = '4dsprite'
+        results['orientation'] = orient
+        output.append(results)
+
+    return output
+
+
+def createB0_ColorFA_Mask_Sprites(b0_file, colorFA_file, mask_file):
+    colorfa = load_and_reorient(colorFA_file)
+    b0 = load_and_reorient(b0_file)[:, :, :, 0]
+    anat_mask = load_and_reorient(mask_file)
+
+    N = max(*b0.shape[:2])
+
+    # make a b0 sprite
+    b0 = reshape3D(b0, N)
+    _, mask = median_otsu(b0)
+    outb0 = create_sprite_from_tiles(b0, as_bytes=True)
+    outb0['img_type'] = 'brainsprite'
+
+    # make a colorFA sprite, masked by b0
+    Q = reshape4D(colorfa, N)
+    Q[np.logical_not(mask)] = np.nan
+    Q = np.moveaxis(Q,  -2, -1)
+    outcolorFA = create_sprite_from_tiles(Q, as_bytes=True)
+    outcolorFA['img_type'] = 'brainsprite'
+
+    # make an anat mask contour sprite
+    outmask = create_sprite_from_tiles(reshape3D(anat_mask, N))
+    img = mplfigcontour(outmask.pop("mosaic"), as_bytes=True)
+    outmask['img'] = img
+
+    return outb0, outcolorFA, outmask
+
+
+def create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
+                       color_fa_file, anat_mask_file,
+                       outlier_indices,
+                       eddy_qc_file,
+                       outpath=op.abspath('./report.json')):
+
+    report = {}
+    report['dwi_corrected'] = createSprite4D(dwi_corrected_file)
+
+    b0, colorFA, mask = createB0_ColorFA_Mask_Sprites(dwi_corrected_file,
+                                                      color_fa_file,
+                                                      anat_mask_file)
+    report['b0'] = b0
+    report['colorFA'] = colorFA
+    report['anat_mask'] = mask
+    report['outlier_volumes'] = outlier_indices.tolist()
+
+    with open(eddy_report, 'r') as f:
+        report['eddy_report'] = f.readlines()
+
+    report['eddy_params'] = np.genfromtxt(eddy_rms).tolist()
+    eddy_qc = load_json(eddy_qc_file)
+    report['eddy_quad'] = eddy_qc
+    save_json(outpath, report)
+    return outpath
diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
index 156eb312..70866b7d 100644
--- a/docs/dmriprep.interfaces.rst
+++ b/docs/dmriprep.interfaces.rst
@@ -12,22 +12,6 @@ dmriprep.interfaces.fmap module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.interfaces.fsl module
-------------------------------
-
-.. automodule:: dmriprep.interfaces.fsl
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-dmriprep.interfaces.mrtrix3 module
-----------------------------------
-
-.. automodule:: dmriprep.interfaces.mrtrix3
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 dmriprep.interfaces.reportlets module
 -------------------------------------
 
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
index 89e3feca..459f093d 100644
--- a/docs/dmriprep.rst
+++ b/docs/dmriprep.rst
@@ -22,6 +22,14 @@ dmriprep.cli module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.due module
+-------------------
+
+.. automodule:: dmriprep.due
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.qc module
 ------------------
 
diff --git a/setup.cfg b/setup.cfg
index 26a6be1c..0cc6205d 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -22,7 +22,7 @@ python_requires = >=3.5
 install_requires =
     Click >= 7.0
     dipy ~= 1.0.0
-    nipype >=1.2.0
+    nipype >=1.2.1
     niworkflows ~= 0.10.1
     smriprep @ git+https://github.com/poldracklab/smriprep.git@9f58665830570835545ff83fea1dc91e89706591
     templateflow ~= 0.4.1

From a360430a026ac0fa740461b5ae59bfbaae605a4f Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Fri, 30 Aug 2019 17:14:34 -0400
Subject: [PATCH 134/156] update docs

---
 docs/dmriprep.workflows.fieldmap.rst | 24 ++++++++++
 docs/index.rst                       |  6 ---
 docs/workflows.rst                   | 67 ++++++++++++++++++++++++++++
 setup.cfg                            | 32 +++++++------
 4 files changed, 106 insertions(+), 23 deletions(-)

diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index de3b9695..cd4eda34 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -4,6 +4,14 @@ dmriprep.workflows.fieldmap package
 Submodules
 ----------
 
+dmriprep.workflows.fieldmap.ants module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.ants
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.fieldmap.base module
 ---------------------------------------
 
@@ -12,6 +20,14 @@ dmriprep.workflows.fieldmap.base module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.workflows.fieldmap.brainsuite module
+---------------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.brainsuite
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.fieldmap.fmap module
 ---------------------------------------
 
@@ -36,6 +52,14 @@ dmriprep.workflows.fieldmap.phasediff module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.workflows.fieldmap.synb0 module
+----------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.synb0
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 
 Module contents
 ---------------
diff --git a/docs/index.rst b/docs/index.rst
index a4451320..622b4a07 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -13,9 +13,3 @@
    sdc
    outputs
    contributing
-
-Indices and tables
-==================
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
diff --git a/docs/workflows.rst b/docs/workflows.rst
index 86ae3400..6548e0de 100644
--- a/docs/workflows.rst
+++ b/docs/workflows.rst
@@ -1,2 +1,69 @@
 Processing pipeline details
 ===========================
+
+dMRIprep adapts its pipeline depending on what data and metadata are available and are used as the input.
+
+A (very) high-level view of the simplest pipeline is presented below.
+
+.. workflow::
+    :graph2use: orig
+    :simple_form: yes
+
+    from collections import namedtuple, OrderedDict
+    from dmriprep.workflows.base import init_single_subject_wf
+    BIDSLayout = namedtuple('BIDSLayout', ['root'])
+    wf = init_single_subject_wf(
+        subject_id='test',
+        session_list=[],
+        name='single_subject_wf',
+        layout=BIDSLayout,
+        output_dir='.',
+        work_dir='.',
+        ignore=[],
+        b0_thresh=5,
+        output_resolution=(1, 1, 1),
+        bet_dwi=0.3,
+        bet_mag=0.3,
+        omp_nthreads=1,
+        synb0_dir=''
+    )
+
+T1w preprocessing
+-----------------
+:mod:`dmriprep.workflows.anatomical.init_anat_preproc_wf`
+
+.. workflow::
+    :graph2use: orig
+    :simple_form: yes
+
+    from collections import OrderedDict
+    from dmriprep.workflows.anatomical import init_anat_preproc_wf
+    wf = init_anat_preproc_wf()
+
+DWI preprocessing
+-----------------
+:mod:`dmriprep.workflows.dwi.base.init_dwi_preproc_wf`
+
+.. workflow::
+    :graph2use: orig
+    :simple_form: yes
+
+    from collections import namedtuple
+    from dmriprep.workflows.dwi import init_dwi_preproc_wf
+    BIDSLayout = namedtuple('BIDSLayout', ['root'])
+    wf = init_dwi_preproc_wf(
+        subjectid='dmripreptest',
+        dwi_file='/madeup/path/sub-01_dwi.nii.gz',
+        metadata={},
+        layout=BIDSLayout('.'),
+        ignore=[],
+        b0_thresh=5,
+        output_resolution=(1, 1, 1),
+        bet_dwi=0.3,
+        bet_mag=0.3,
+        nthreads=4,
+        omp_nthreads=1,
+        synb0_dir='.'
+    )
+
+Preprocessing of DWI files is split into multiple sub-workflows described below.
diff --git a/setup.cfg b/setup.cfg
index 0cc6205d..e2263a7d 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,9 +1,9 @@
 [metadata]
-url = https://github.com/nipreps/dmriprep
+url = https://github.com/josephmje/dmriprep
 author = The Nipy developers
-author_email = code@oscaresteban.es
-maintainer = Oscar Esteban
-maintainer_email = code@oscaresteban.es
+author_email = michael.joseph@camh.ca
+maintainer = Michael Joseph
+maintainer_email = michael.joseph@camh.ca
 description = dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
 long_description = file:long_description.rst
 long_description_content_type = text/x-rst; charset=UTF-8
@@ -22,26 +22,26 @@ python_requires = >=3.5
 install_requires =
     Click >= 7.0
     dipy ~= 1.0.0
-    nipype >=1.2.1
-    niworkflows ~= 0.10.1
-    smriprep @ git+https://github.com/poldracklab/smriprep.git@9f58665830570835545ff83fea1dc91e89706591
-    templateflow ~= 0.4.1
-    nibabel >=2.2.1
     indexed_gzip >=0.8.8
+    matplotlib
+    nibabel >=2.2.1
     nilearn !=0.5.0, !=0.5.1
-    psutil >=5.4
-    pybids ~= 0.9.2
+    nipype >=1.2.1
     nitime
+    niworkflows ~= 0.10.1
+    numba ~= 0.44.1
     numpy
     pandas
-    matplotlib
-    numba ~= 0.44.1
+    psutil >=5.4
+    pybids ~= 0.9.3
     pyyaml
     scikit-image
+    smriprep @ git+https://github.com/poldracklab/smriprep.git@9f58665830570835545ff83fea1dc91e89706591
     statsmodels
+    templateflow ~= 0.4.1
 test_requires =
-    coverage
     codecov
+    coverage
     pytest
 packages = find:
 include_package_data = True
@@ -64,8 +64,8 @@ docs =
 duecredit = duecredit
 resmon =
 tests =
-    coverage
     codecov
+    coverage
     pytest
 all =
     %(datalad)s
@@ -79,8 +79,6 @@ dmriprep =
     data/*.nii.gz
     data/*.mat
     data/boilerplate.bib
-    data/itkIdentityTransform.txt
-    data/flirtsch/bbr.sch
     VERSION
 
 [options.entry_points]

From 9ab0037c543f1bd601e3359d88e0208ba53bc587 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Tue, 3 Sep 2019 09:34:30 -0400
Subject: [PATCH 135/156] Update

---
 CONTRIBUTING.rst                              |     4 +-
 dmriprep/__about__.py                         |     4 +-
 dmriprep/cli.py                               |   132 +-
 dmriprep/utils/bids.py                        |    30 +-
 dmriprep/workflows/base.py                    |   123 +-
 dmriprep/workflows/dwi/base.py                |    57 +-
 dmriprep/workflows/dwi/util.py                |     7 -
 dmriprepViewer/.babelrc                       |    18 -
 dmriprepViewer/.snyk                          |    10 -
 dmriprepViewer/README.md                      |    30 -
 dmriprepViewer/config/dev.env.js              |     7 -
 dmriprepViewer/config/index.js                |    76 -
 dmriprepViewer/config/prod.env.js             |     4 -
 dmriprepViewer/config/test.env.js             |     7 -
 dmriprepViewer/deploy.sh                      |    36 -
 dmriprepViewer/index.html                     |    12 -
 dmriprepViewer/package-lock.json              | 16811 ----------------
 dmriprepViewer/package.json                   |    95 -
 dmriprepViewer/src/App.vue                    |    30 -
 dmriprepViewer/src/assets/logo.svg            |     1 -
 dmriprepViewer/src/components/BrainSprite.vue |    75 -
 dmriprepViewer/src/components/Bucket.vue      |   195 -
 dmriprepViewer/src/components/GroupStats.vue  |    96 -
 dmriprepViewer/src/components/HelloWorld.vue  |   114 -
 dmriprepViewer/src/components/LineChart.vue   |   191 -
 dmriprepViewer/src/components/Report.vue      |   162 -
 dmriprepViewer/src/components/Sprite4D.vue    |    63 -
 dmriprepViewer/src/components/brainsprite.js  |   587 -
 dmriprepViewer/src/main.js                    |    15 -
 dmriprepViewer/src/router/index.js            |    27 -
 dmriprepViewer/static/.gitkeep                |     0
 .../e2e/custom-assertions/elementCount.js     |    27 -
 dmriprepViewer/test/e2e/nightwatch.conf.js    |    46 -
 dmriprepViewer/test/e2e/runner.js             |    48 -
 dmriprepViewer/test/e2e/specs/test.js         |    19 -
 dmriprepViewer/test/unit/.eslintrc            |     7 -
 dmriprepViewer/test/unit/jest.conf.js         |    30 -
 dmriprepViewer/test/unit/setup.js             |     3 -
 .../test/unit/specs/HelloWorld.spec.js        |    11 -
 docs/dmriprep.interfaces.rst                  |     8 -
 docs/dmriprep.rst                             |     1 -
 docs/dmriprep.viz.rst                         |    22 -
 docs/dmriprep.workflows.dwi.rst               |     8 -
 docs/dmriprep.workflows.fieldmap.rst          |    24 -
 docs/installation.rst                         |    10 +-
 docs/license.rst                              |     2 +-
 docs/workflows.rst                            |    10 +-
 setup.cfg                                     |     4 +-
 48 files changed, 216 insertions(+), 19083 deletions(-)
 delete mode 100644 dmriprep/workflows/dwi/util.py
 delete mode 100644 dmriprepViewer/.babelrc
 delete mode 100644 dmriprepViewer/.snyk
 delete mode 100644 dmriprepViewer/README.md
 delete mode 100644 dmriprepViewer/config/dev.env.js
 delete mode 100644 dmriprepViewer/config/index.js
 delete mode 100644 dmriprepViewer/config/prod.env.js
 delete mode 100644 dmriprepViewer/config/test.env.js
 delete mode 100644 dmriprepViewer/deploy.sh
 delete mode 100644 dmriprepViewer/index.html
 delete mode 100644 dmriprepViewer/package-lock.json
 delete mode 100644 dmriprepViewer/package.json
 delete mode 100644 dmriprepViewer/src/App.vue
 delete mode 100644 dmriprepViewer/src/assets/logo.svg
 delete mode 100644 dmriprepViewer/src/components/BrainSprite.vue
 delete mode 100644 dmriprepViewer/src/components/Bucket.vue
 delete mode 100644 dmriprepViewer/src/components/GroupStats.vue
 delete mode 100644 dmriprepViewer/src/components/HelloWorld.vue
 delete mode 100644 dmriprepViewer/src/components/LineChart.vue
 delete mode 100644 dmriprepViewer/src/components/Report.vue
 delete mode 100644 dmriprepViewer/src/components/Sprite4D.vue
 delete mode 100644 dmriprepViewer/src/components/brainsprite.js
 delete mode 100644 dmriprepViewer/src/main.js
 delete mode 100644 dmriprepViewer/src/router/index.js
 delete mode 100644 dmriprepViewer/static/.gitkeep
 delete mode 100644 dmriprepViewer/test/e2e/custom-assertions/elementCount.js
 delete mode 100644 dmriprepViewer/test/e2e/nightwatch.conf.js
 delete mode 100644 dmriprepViewer/test/e2e/runner.js
 delete mode 100644 dmriprepViewer/test/e2e/specs/test.js
 delete mode 100644 dmriprepViewer/test/unit/.eslintrc
 delete mode 100644 dmriprepViewer/test/unit/jest.conf.js
 delete mode 100644 dmriprepViewer/test/unit/setup.js
 delete mode 100644 dmriprepViewer/test/unit/specs/HelloWorld.spec.js
 delete mode 100644 docs/dmriprep.viz.rst

diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index a936a315..ef1860a7 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -55,7 +55,7 @@ You can contribute in many ways:
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/nipy/dmriprep/issues.
+Report bugs at https://github.com/josephmje/dmriprep/issues.
 
 If you are reporting a bug, please include:
 
@@ -85,7 +85,7 @@ articles, and such.
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/nipy/dmriprep/issues.
+The best way to send feedback is to file an issue at https://github.com/josephmje/dmriprep/issues.
 
 If you are proposing a feature:
 
diff --git a/dmriprep/__about__.py b/dmriprep/__about__.py
index 5b4f1ff1..bac31a9c 100644
--- a/dmriprep/__about__.py
+++ b/dmriprep/__about__.py
@@ -8,10 +8,10 @@
 __packagename__ = 'dmriprep'
 __credits__ = ('Contributors: please check the ``.zenodo.json`` file at the'
                'top-level folder of the repository')
-__url__ = 'https://github.com/nipy/dmriprep'
+__url__ = 'https://github.com/josephmje/dmriprep'
 
 DOWNLOAD_URL = (
-    'https://github.com/nipy/dmriprep/{name}/archive/{ver}.tar.gz'.format(
+    'https://github.com/josephmje/dmriprep/{name}/archive/{ver}.tar.gz'.format(
         name=__packagename__, ver=__version__
     )
 )
diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 9a0b66cf..9b3fe80b 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -4,9 +4,11 @@
 import os
 import sys
 import warnings
+from multiprocessing import cpu_count
 
 import click
 from bids import BIDSLayout
+from nipype import config as ncfg
 
 from .utils.bids import collect_participants
 from .workflows.base import init_dmriprep_wf
@@ -16,6 +18,7 @@
 warnings.filterwarnings('ignore', message='numpy.dtype size changed')
 warnings.filterwarnings('ignore', message='numpy.ufunc size changed')
 
+
 @click.command()
 # arguments as specified by BIDS-Apps
 @click.argument('bids_dir', type=click.Path(exists=True, file_okay=False))
@@ -23,7 +26,9 @@
     'output_dir', type=click.Path(exists=True, file_okay=False, writable=True)
 )
 @click.argument(
-    'analysis_level', default='participant', type=click.Choice(['participant', 'group'])
+    'analysis_level',
+    default='participant',
+    type=click.Choice(['participant', 'group'])
 )
 # optional arguments
 # options for filtering BIDS queries
@@ -66,7 +71,7 @@
     default=5,
     show_default=True,
     help='Threshold for b0 value',
-    type=click.IntRange(min=0, max=10),
+    type=click.IntRange(min=0, max=10)
 )
 @click.option(
     '--output_resolution',
@@ -74,30 +79,6 @@
     type=float,
     multiple=True
 )
-# specific options for eddy
-@click.option(
-    '--nthreads',
-    default=1,
-    show_default=True,
-    help='Maximum number of threads across all processes',
-    type=int,
-)
-@click.option(
-    '--omp_nthreads',
-    default=1,
-    show_default=True,
-    help='Maximum number of threads per process',
-    type=int,
-)
-@click.option(
-    '--eddy_niter',
-    default=5,
-    show_default=True,
-    help='Fixed number of eddy iterations. See '
-    'https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide'
-    '#A--niter',
-    type=int,
-)
 @click.option(
     '--bet_dwi',
     default=0.3,
@@ -105,7 +86,7 @@
     help='Fractional intensity threshold for BET on the DWI. '
     'A higher value will be more strict; it will cut off more '
     'around what it analyzes the brain to be.',
-    type=click.FloatRange(min=0, max=1),
+    type=click.FloatRange(min=0, max=1)
 )
 @click.option(
     '--bet_mag',
@@ -114,14 +95,29 @@
     help='Fractional intensity threshold for BET on the magnitude. '
     'A higher value will be more strict; it will cut off more '
     'around what it analyzes the brain to be.',
-    type=click.FloatRange(min=0, max=1),
+    type=click.FloatRange(min=0, max=1)
+)
+# specific options for eddy
+@click.option(
+    '--nthreads',
+    default=1,
+    show_default=True,
+    help='Maximum number of threads across all processes',
+    type=int
+)
+@click.option(
+    '--omp_nthreads',
+    default=1,
+    show_default=True,
+    help='Maximum number of threads per process',
+    type=int
 )
 @click.option(
     '--acqp_file',
     default=None,
     help='If you want to pass in an acqp file for topup/eddy instead of'
     'generating it from the json by default.',
-    type=click.Path(exists=True, dir_okay=False),
+    type=click.Path(exists=True, dir_okay=False)
 )
 # workflow configuration
 @click.option(
@@ -129,29 +125,32 @@
     '-i',
     help='Specify which node(s) to skip during the preprocessing of the dwi.',
     type=click.Choice(['denoising', 'unringing', 'fieldmaps']),
-    multiple=True,
+    multiple=True
 )
 @click.option(
     '--work_dir',
     '-w',
     help='working directory',
-    type=click.Path(exists=True, file_okay=False, writable=True),
+    type=click.Path(exists=True, file_okay=False, writable=True)
 )
 @click.option(
     '--synb0_dir',
     default=None,
     help='If you want to use Synb0-DISCO for preprocessing.',
-    type=click.Path(exists=True, file_okay=False),
+    type=click.Path(exists=True, file_okay=False)
+)
+@click.option(
+    '--write_graph',
+    default=False,
+    help='Write out nipype workflow graph.'
 )
 def main(
-    participant_label,
-    session_label,
     bids_dir,
     output_dir,
     analysis_level,
     skip_bids_validation,
-    work_dir,
-    ignore,
+    participant_label,
+    session_label,
     concat_dwis,
     b0_thresh,
     output_resolution,
@@ -159,9 +158,11 @@ def main(
     bet_mag,
     nthreads,
     omp_nthreads,
-    eddy_niter,
+    acqp_file,
+    ignore,
+    work_dir,
     synb0_dir,
-    acqp_file
+    write_graph
 ):
     """
     BIDS_DIR: The directory with the input dataset formatted according to the
@@ -188,7 +189,6 @@ def main(
 
     if not skip_bids_validation:
         from .utils.bids import validate_input_dir
-
         validate_input_dir(bids_dir, all_subjects, subject_list)
 
     if not work_dir:
@@ -197,27 +197,61 @@ def main(
     if len(output_resolution) == 1:
         output_resolution = output_resolution * 3
 
+    log_dir = os.path.join(output_dir, 'dmriprep', 'logs')
+
+    plugin_settings = {
+        'plugin': 'MultiProc',
+        'plugin_args': {
+            'raise_insufficient': False,
+            'maxtasksperchild': 1,
+            'n_procs': nthreads
+        }
+    }
+
+    if omp_nthreads == 0:
+        omp_nthreads = min(nthreads - 1 if nthreads > 1 else cpu_count(), 8)
+
+    ncfg.update_config({
+        'logging': {
+            'log_directory': log_dir,
+            'log_to_file': True
+        },
+        'execution': {
+            'crashdump_dir': log_dir,
+            'crashfile_format': 'txt',
+            'remove_unnecessary_outputs': False,
+            'keep_inputs': True,
+            'get_linked_libs': False,
+            'stop_on_first_crash': True
+        },
+        'monitoring': {
+            'enabled': True,
+            'sample_frequency': '0.5',
+            'summary_append': True
+        }
+    })
+
     wf = init_dmriprep_wf(
-        subject_list=subject_list,
-        session_list=session_label,
         layout=layout,
         output_dir=output_dir,
-        work_dir=work_dir,
-        ignore=list(ignore),
+        subject_list=subject_list,
+        session_list=list(session_label),
         concat_dwis=list(concat_dwis),
         b0_thresh=b0_thresh,
         output_resolution=output_resolution,
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
-        nthreads=nthreads,
         omp_nthreads=omp_nthreads,
+        acqp_file=acqp_file,
+        ignore=list(ignore),
+        work_dir=work_dir,
         synb0_dir=synb0_dir
     )
-    wf.write_graph()
-    wf.config['execution']['remove_unnecessary_outputs'] = False
-    wf.config['execution']['keep_inputs'] = True
-    wf.config['execution']['crashfile_format'] = 'txt'
-    wf.run()
+
+    if write_graph:
+        wf.write_graph(graph2use='colored', format='svg', simple_form=True)
+
+    wf.run(**plugin_settings)
 
     return 0
 
diff --git a/dmriprep/utils/bids.py b/dmriprep/utils/bids.py
index 9038e18b..79492a59 100644
--- a/dmriprep/utils/bids.py
+++ b/dmriprep/utils/bids.py
@@ -114,7 +114,7 @@ def collect_participants(
     return all_participants, found_label
 
 
-def collect_data(bids_dir, participant_label, session_label=None, bids_validate=True):
+def collect_data(bids_dir, participant_label, concat_dwis, session_label=None):
     """
     Uses pybids to retrieve the input data for a given participant
     """
@@ -140,9 +140,37 @@ def collect_data(bids_dir, participant_label, session_label=None, bids_validate=
                                  extension=['nii', 'nii.gz'], **query))
         for dtype, query in queries.items()}
 
+    subj_data['dwi'] = group_dwi(subj_data['dwi'], session_label, concat_dwis)
+
     return subj_data, layout
 
 
+def group_dwi(dwi_files, session_list, concat_dwis):
+
+    all_dwis = []
+
+    if session_list:
+        for session in session_list:
+            session_groups = []
+            session_dwis = [img for img in dwi_files if 'ses-%s' % session in img]
+            for f in session_dwis:
+                if any(acq in f for acq in concat_dwis):
+                    session_groups.append(f)
+                else:
+                    all_dwis.append(f)
+            all_dwis.append(session_groups)
+    else:
+        session_groups = []
+        for f in dwi_files:
+            if any(acq in f for acq in concat_dwis):
+                session_groups.append(f)
+            else:
+                all_dwis.append(f)
+        all_dwis.append(session_groups)
+
+    return all_dwis
+
+
 def validate_input_dir(bids_dir, all_subjects, subject_list):
     # Ignore issues and warnings that should not influence DMRIPREP
     import tempfile
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index fc6ccdd5..fcb03d80 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -14,24 +14,24 @@
 
 from nipype.pipeline import engine as pe
 
-from .utils.bids import collect_data
+from ..utils.bids import collect_data
 from .dwi import init_dwi_preproc_wf, init_dwi_derivatives_wf
 
 
 def init_dmriprep_wf(
-    subject_list,
-    session_list,
     layout,
     output_dir,
-    work_dir,
-    ignore,
+    subject_list,
+    session_list,
     concat_dwis,
     b0_thresh,
     output_resolution,
     bet_dwi,
     bet_mag,
-    nthreads,
     omp_nthreads,
+    acqp_file,
+    ignore,
+    work_dir,
     synb0_dir
 ):
     """
@@ -46,35 +46,32 @@ def init_dmriprep_wf(
     from dmriprep.workflows.base import init_dmriprep_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
     wf = init_dmriprep_wf(
-      subject_list=['dmripreptest'],
-      session_list=[],
-      layout=BIDSLayout('.', validate=False),
-      output_dir='.',
-      work_dir='.',
-      ignore=[],
-      b0_thresh=5,
-      output_resolution=(1, 1, 1),
-      bet_dwi=0.3,
-      bet_mag=0.3,
-      nthreads=4,
-      omp_nthreads=1,
-      synb0_dir='.'
+        layout=BIDSLayout('.', validate=False),
+        output_dir='.',
+        subject_list=['dmripreptest'],
+        session_list=[],
+        concat_dwis=[],
+        b0_thresh=5,
+        output_resolution=(1, 1, 1),
+        bet_dwi=0.3,
+        bet_mag=0.3,
+        omp_nthreads=1,
+        acqp_file='',
+        ignore=[],
+        work_dir='.',
+        synb0_dir=''
     )
 
     Parameters
 
-        subject_list: list
-            List of subject labels
-        session_list: list
-            List of session labels
         layout: BIDSLayout object
             BIDS dataset layout
         output_dir: str
             Directory in which to save derivatives
-        work_dir: str
-            Directory in which to store workflow execution state and temporary files
-        ignore: list
-            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps')
+        subject_list: list
+            List of subject labels
+        session_list: list
+            List of session labels
         concat_dwis: list
             List of dwi images to concatenate (specified with the 'acq-') tag
         b0_thresh: int
@@ -85,10 +82,14 @@ def init_dmriprep_wf(
             Fractional intensity threshold for BET on dwi image
         bet_mag: float
             Fractional intensity threshold for BET on magnitude image
-        nthreads: int
-            Maximum number of threads to use
         omp_nthreads: int
             Maximum number of threads an individual process may use
+        acqp_file: str
+            Optionally supply eddy acquisition parameters file
+        ignore: list
+            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps'
+        work_dir: str
+            Directory in which to store workflow execution state and temporary files
         synb0_dir: str
             Direction in which synb0 derivatives are saved
 
@@ -99,28 +100,26 @@ def init_dmriprep_wf(
     for subject_id in subject_list:
 
         single_subject_wf = init_single_subject_wf(
-            subject_id=subject_id,
-            session_list=session_list,
             name='single_subject_' + subject_id + '_wf',
             layout=layout,
             output_dir=output_dir,
-            work_dir=work_dir,
-            ignore=ignore,
+            subject_id=subject_id,
+            session_list=session_list,
             concat_dwis=concat_dwis,
             b0_thresh=b0_thresh,
             output_resolution=output_resolution,
             bet_dwi=bet_dwi,
             bet_mag=bet_mag,
             omp_nthreads=omp_nthreads,
+            acqp_file=acqp_file,
+            ignore=ignore,
+            work_dir=work_dir,
             synb0_dir=synb0_dir
         )
 
         single_subject_wf.config['execution']['crashdump_dir'] = os.path.join(
             output_dir, 'dmriprep', 'sub-' + subject_id, 'log'
         )
-        single_subject_wf.config['execution']['remove_unnecessary_outputs'] = False
-        single_subject_wf.config['execution']['keep_inputs'] = True
-        single_subject_wf.config['execution']['crashfile_format'] = 'txt'
 
         for node in single_subject_wf._get_all_nodes():
             node.config = deepcopy(single_subject_wf.config)
@@ -131,19 +130,20 @@ def init_dmriprep_wf(
 
 
 def init_single_subject_wf(
-    subject_id,
-    session_list,
     name,
     layout,
     output_dir,
-    work_dir,
-    ignore,
+    subject_id,
+    session_list,
     concat_dwis,
     b0_thresh,
     output_resolution,
     bet_dwi,
     bet_mag,
     omp_nthreads,
+    acqp_file,
+    ignore,
+    work_dir,
     synb0_dir
 ):
     """
@@ -162,35 +162,34 @@ def init_single_subject_wf(
     from dmriprep.workflows.base import init_single_subject_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
     wf = init_single_subject_wf(
-        subject_id='test',
-        session_list=[],
         name='single_subject_wf',
         layout=BIDSLayout,
         output_dir='.',
-        work_dir='.',
-        ignore=[],
+        subject_id='test',
+        session_list=[],
+        concat_dwis=[],
         b0_thresh=5,
         output_resolution=(1, 1, 1),
         bet_dwi=0.3,
         bet_mag=0.3,
         omp_nthreads=1,
+        acqp_file='',
+        ignore=[],
+        work_dir='.',
         synb0_dir=''
     )
 
     Parameters
 
-        subject_id: str
-            Single subject label
-        session_list: list
-            List of sessions
+        name:
         layout: BIDSLayout object
             BIDS dataset layout
         output_dir: str
             Directory in which to save derivatives
-        work_dir: str
-            Directory in which to store workflow execution state and temporary files
-        ignore: list
-            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps')
+        subject_id: str
+            Single subject label
+        session_list: list
+            List of sessions
         concat_dwis: list
             List of dwi images to concatenate (specified with the 'acq-') tag
         b0_thresh: int
@@ -203,6 +202,12 @@ def init_single_subject_wf(
             Fractional intensity threshold for BET on magnitude image
         omp_nthreads: int
             Maximum number of threads an individual process may use
+        acqp_file: str
+            Optional acquisition parameters file
+        ignore: list
+            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps')
+        work_dir: str
+            Directory in which to store workflow execution state and temporary files
         synb0_dir: str
             Directory in which synb0 derivatives are saved
 
@@ -214,7 +219,7 @@ def init_single_subject_wf(
             'dwi': ['/madeup/path/sub-01_dwi.nii.gz']
         }
     else:
-        subject_data = collect_data(layout, subject_id, session_list)
+        subject_data = collect_data(layout, subject_id, concat_dwis, session_list)
 
     if subject_data['dwi'] == []:
         raise Exception(
@@ -225,28 +230,30 @@ def init_single_subject_wf(
 
     subject_wf = pe.Workflow(name=name)
 
-    for dwi_file in dwi_files:
+    for dwi_file in subject_data['dwi']:
         entities = layout.parse_file_entities(dwi_file)
         if 'session' in entities:
             session_id = entities['session']
         else:
             session_id = None
         metadata = layout.get_metadata(dwi_file)
+
         dwi_preproc_wf = init_dwi_preproc_wf(
+            layout=layout,
+            output_dir=output_dir,
             subject_id=subject_id,
             dwi_file=dwi_file,
             metadata=metadata,
-            layout=layout,
-            output_dir=output_dir,
-            work_dir=work_dir,
-            ignore=ignore,
             b0_thresh=b0_thresh,
             output_resolution=output_resolution,
             bet_dwi=bet_dwi,
             bet_mag=bet_mag,
             omp_nthreads=omp_nthreads,
+            acqp_file=acqp_file,
+            ignore=ignore,
             synb0_dir=synb0_dir
         )
+
         datasink_wf = init_dwi_derivatives_wf(
             subject_id=subject_id,
             session_id=session_id,
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 10fb0ed0..13409d6c 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -11,28 +11,27 @@
 from bids import BIDSLayout
 from nipype.pipeline import engine as pe
 from nipype.interfaces import fsl, mrtrix3, utility as niu
-from numba import cuda
 
 from .artifacts import init_dwi_artifacts_wf
 from .tensor import init_dwi_tensor_wf
-
 from ..fieldmap.base import init_sdc_prep_wf
 
 FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
 
 
 def init_dwi_preproc_wf(
+    layout,
+    output_dir,
     subject_id,
     dwi_file,
     metadata,
-    layout,
-    ignore,
     b0_thresh,
     output_resolution,
     bet_dwi,
     bet_mag,
-    nthreads,
     omp_nthreads,
+    acqp_file,
+    ignore,
     synb0_dir
 ):
     """
@@ -46,25 +45,26 @@ def init_dwi_preproc_wf(
         from dmriprep.workflows.dwi import init_dwi_preproc_wf
         BIDSLayout = namedtuple('BIDSLayout', ['root'])
         wf = init_dwi_preproc_wf(
-            subjectid='dmripreptest',
-            dwi_file='/madeup/path/sub-01_dwi.nii.gz',
-            metadata=,
             layout=BIDSLayout('.'),
-            ignore=[],
+            output_dir='.',
+            subject_id='dmripreptest',
+            dwi_file='/madeup/path/sub-01_dwi.nii.gz',
+            metadata={},
             b0_thresh=5,
             output_resolution=(1, 1, 1),
             bet_dwi=0.3,
             bet_mag=0.3,
-            nthreads=4,
             omp_nthreads=1,
-            synb0_dir='.'
+            acqp_file='',
+            ignore=[],
+            synb0_dir=''
         )
 
     """
 
-    multiple_runs = isinstance(dwi_file, list)
+    multiple_dwis = isinstance(dwi_file, list)
 
-    if multiple_runs:
+    if multiple_dwis:
         ref_file = dwi_file[0]
     else:
         ref_file = dwi_file
@@ -73,8 +73,6 @@ def init_dwi_preproc_wf(
 
     dwi_wf = pe.Workflow(name=wf_name)
 
-    synb0 = ""
-
     # If use_synb0 set, get synb0 from files
     if synb0_dir:
         synb0_layout = BIDSLayout(
@@ -109,7 +107,6 @@ def init_dwi_preproc_wf(
                 "bvec_file",
                 "bval_file",
                 "out_dir",
-                "eddy_niter",
             ]
         ),
         name="inputnode",
@@ -137,16 +134,6 @@ def init_dwi_preproc_wf(
         name="outputnode",
     )
 
-    dwi_artifacts_wf = init_dwi_artifacts_wf(ignore, output_resolution)
-
-    dwi_wf.connect(
-        [
-            (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
-            (dwi_artifacts_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")]),
-            (dwi_artifacts_wf, ecc, [("outputnode.out_file", "in_file")])
-        ]
-    )
-
     def gen_index(in_file):
         """
         Create an index file that tells `eddy` which line/lines in the
@@ -248,6 +235,8 @@ def gen_acqparams(in_file, metadata):
         ]
     )
 
+    dwi_artifacts_wf = init_dwi_artifacts_wf(ignore, output_resolution)
+
     def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         """
         Averages the *b0* volumes from a DWI dataset.
@@ -296,16 +285,12 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         fsl.BET(frac=bet_dwi, mask=True, robust=True), name="bet_dwi_pre"
     )
 
-    ecc = pe.Node(fsl.Eddy(repol=True, cnr_maps=True, residuals=True), name="fsl_eddy")
-
-    if omp_nthreads:
-        ecc.inputs.num_threads = omp_nthreads
-
-    try:
-        if cuda.gpus:
-            ecc.inputs.use_cuda = True
-    except:
-        ecc.inputs.use_cuda = False
+    dwi_wf.connect(
+        [
+            (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
+            (dwi_artifacts_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")])
+        ]
+    )
 
     denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name="denoise_eddy")
 
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
deleted file mode 100644
index c1245bfa..00000000
--- a/dmriprep/workflows/dwi/util.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Utility workflows
-^^^^^^^^^^^^^^^^^
-
-"""
diff --git a/dmriprepViewer/.babelrc b/dmriprepViewer/.babelrc
deleted file mode 100644
index 9390d164..00000000
--- a/dmriprepViewer/.babelrc
+++ /dev/null
@@ -1,18 +0,0 @@
-{
-  "presets": [
-    ["env", {
-      "modules": false,
-      "targets": {
-        "browsers": ["> 1%", "last 2 versions", "not ie <= 8"]
-      }
-    }],
-    "stage-2"
-  ],
-  "plugins": ["transform-vue-jsx", "transform-runtime"],
-  "env": {
-    "test": {
-      "presets": ["env", "stage-2"],
-      "plugins": ["transform-vue-jsx", "transform-es2015-modules-commonjs", "dynamic-import-node"]
-    }
-  }
-}
diff --git a/dmriprepViewer/.snyk b/dmriprepViewer/.snyk
deleted file mode 100644
index 0ab5624c..00000000
--- a/dmriprepViewer/.snyk
+++ /dev/null
@@ -1,10 +0,0 @@
-# Snyk (https://snyk.io) policy file, patches or ignores known vulnerabilities.
-version: v1.13.5
-ignore: {}
-# patches apply the minimum changes required to fix a vulnerability
-patch:
-  SNYK-JS-LODASH-450202:
-    - lodash:
-        patched: '2019-07-04T07:28:09.204Z'
-    - bootstrap-vue > opencollective > inquirer > lodash:
-        patched: '2019-07-04T07:28:09.204Z'
diff --git a/dmriprepViewer/README.md b/dmriprepViewer/README.md
deleted file mode 100644
index c18e32fd..00000000
--- a/dmriprepViewer/README.md
+++ /dev/null
@@ -1,30 +0,0 @@
-# dmriprep-viewer
-
-> Viewer for dmriprep reports
-
-## Build Setup
-
-``` bash
-# install dependencies
-npm install
-
-# serve with hot reload at localhost:8080
-npm run dev
-
-# build for production with minification
-npm run build
-
-# build for production and view the bundle analyzer report
-npm run build --report
-
-# run unit tests
-npm run unit
-
-# run e2e tests
-npm run e2e
-
-# run all tests
-npm test
-```
-
-For a detailed explanation on how things work, check out the [guide](http://vuejs-templates.github.io/webpack/) and [docs for vue-loader](http://vuejs.github.io/vue-loader).
diff --git a/dmriprepViewer/config/dev.env.js b/dmriprepViewer/config/dev.env.js
deleted file mode 100644
index 1e22973a..00000000
--- a/dmriprepViewer/config/dev.env.js
+++ /dev/null
@@ -1,7 +0,0 @@
-'use strict'
-const merge = require('webpack-merge')
-const prodEnv = require('./prod.env')
-
-module.exports = merge(prodEnv, {
-  NODE_ENV: '"development"'
-})
diff --git a/dmriprepViewer/config/index.js b/dmriprepViewer/config/index.js
deleted file mode 100644
index c65b7762..00000000
--- a/dmriprepViewer/config/index.js
+++ /dev/null
@@ -1,76 +0,0 @@
-'use strict'
-// Template version: 1.3.1
-// see http://vuejs-templates.github.io/webpack for documentation.
-
-const path = require('path')
-
-module.exports = {
-  dev: {
-
-    // Paths
-    assetsSubDirectory: 'static',
-    assetsPublicPath: '/',
-    proxyTable: {},
-
-    // Various Dev Server settings
-    host: 'localhost', // can be overwritten by process.env.HOST
-    port: 8080, // can be overwritten by process.env.PORT, if port is in use, a free one will be determined
-    autoOpenBrowser: false,
-    errorOverlay: true,
-    notifyOnErrors: true,
-    poll: false, // https://webpack.js.org/configuration/dev-server/#devserver-watchoptions-
-
-    // Use Eslint Loader?
-    // If true, your code will be linted during bundling and
-    // linting errors and warnings will be shown in the console.
-    useEslint: true,
-    // If true, eslint errors and warnings will also be shown in the error overlay
-    // in the browser.
-    showEslintErrorsInOverlay: false,
-
-    /**
-     * Source Maps
-     */
-
-    // https://webpack.js.org/configuration/devtool/#development
-    devtool: 'cheap-module-eval-source-map',
-
-    // If you have problems debugging vue-files in devtools,
-    // set this to false - it *may* help
-    // https://vue-loader.vuejs.org/en/options.html#cachebusting
-    cacheBusting: true,
-
-    cssSourceMap: true
-  },
-
-  build: {
-    // Template for index.html
-    index: path.resolve(__dirname, '../dist/index.html'),
-
-    // Paths
-    assetsRoot: path.resolve(__dirname, '../dist'),
-    assetsSubDirectory: 'static',
-    assetsPublicPath: '/dmriprep/',
-
-    /**
-     * Source Maps
-     */
-
-    productionSourceMap: true,
-    // https://webpack.js.org/configuration/devtool/#production
-    devtool: '#source-map',
-
-    // Gzip off by default as many popular static hosts such as
-    // Surge or Netlify already gzip all static assets for you.
-    // Before setting to `true`, make sure to:
-    // npm install --save-dev compression-webpack-plugin
-    productionGzip: false,
-    productionGzipExtensions: ['js', 'css'],
-
-    // Run the build command with an extra argument to
-    // View the bundle analyzer report after build finishes:
-    // `npm run build --report`
-    // Set to `true` or `false` to always turn it on or off
-    bundleAnalyzerReport: process.env.npm_config_report
-  }
-}
diff --git a/dmriprepViewer/config/prod.env.js b/dmriprepViewer/config/prod.env.js
deleted file mode 100644
index a6f99761..00000000
--- a/dmriprepViewer/config/prod.env.js
+++ /dev/null
@@ -1,4 +0,0 @@
-'use strict'
-module.exports = {
-  NODE_ENV: '"production"'
-}
diff --git a/dmriprepViewer/config/test.env.js b/dmriprepViewer/config/test.env.js
deleted file mode 100644
index c2824a30..00000000
--- a/dmriprepViewer/config/test.env.js
+++ /dev/null
@@ -1,7 +0,0 @@
-'use strict'
-const merge = require('webpack-merge')
-const devEnv = require('./dev.env')
-
-module.exports = merge(devEnv, {
-  NODE_ENV: '"testing"'
-})
diff --git a/dmriprepViewer/deploy.sh b/dmriprepViewer/deploy.sh
deleted file mode 100644
index ae136ca1..00000000
--- a/dmriprepViewer/deploy.sh
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/bin/bash
-
-set -e # exit with nonzero exit code if anything fails
-
-if [[ $TRAVIS_BRANCH == "master" && $TRAVIS_PULL_REQUEST == "false" ]]; then
-
-echo "Starting to update gh-pages\n"
-
-#copy data we're interested in to other place
-cp -R dist $HOME/dist
-
-#go to home and setup git
-cd $HOME
-git config --global user.email "travis@travis-ci.org"
-git config --global user.name "Travis"
-
-#using token clone gh-pages branch
-git clone --quiet --branch=gh-pages https://${GH_TOKEN}@github.com/${GH_USER}/${GH_REPO}.git gh-pages > /dev/null
-
-#go into directory and copy data we're interested in to that directory
-cd gh-pages
-cp -Rf $HOME/dist/* .
-
-echo "Allow files with underscore https://help.github.com/articles/files-that-start-with-an-underscore-are-missing/" > .nojekyll
-echo "[View live](https://${GH_USER}.github.io/${GH_REPO}/)" > README.md
-
-#add, commit and push files
-git add -f .
-git commit -m "Travis build $TRAVIS_BUILD_NUMBER"
-git push -fq origin gh-pages > /dev/null
-
-echo "Done updating gh-pages\n"
-
-else
- echo "Skipped updating gh-pages, because build is not triggered from the master branch."
-fi;
diff --git a/dmriprepViewer/index.html b/dmriprepViewer/index.html
deleted file mode 100644
index c2581b52..00000000
--- a/dmriprepViewer/index.html
+++ /dev/null
@@ -1,12 +0,0 @@
-<!DOCTYPE html>
-<html>
-  <head>
-    <meta charset="utf-8">
-    <meta name="viewport" content="width=device-width,initial-scale=1.0">
-    <title>dmriprep-viewer</title>
-  </head>
-  <body>
-    <div id="app"></div>
-    <!-- built files will be auto injected -->
-  </body>
-</html>
diff --git a/dmriprepViewer/package-lock.json b/dmriprepViewer/package-lock.json
deleted file mode 100644
index f265ebd5..00000000
--- a/dmriprepViewer/package-lock.json
+++ /dev/null
@@ -1,16811 +0,0 @@
-{
-  "name": "dmriprep-viewer",
-  "version": "1.0.0",
-  "lockfileVersion": 1,
-  "requires": true,
-  "dependencies": {
-    "@babel/code-frame": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/code-frame/-/code-frame-7.0.0-beta.44.tgz",
-      "integrity": "sha512-cuAuTTIQ9RqcFRJ/Y8PvTh+paepNcaGxwQwjIDRWPXmzzyAeCO4KqS9ikMvq0MCbRk6GlYKwfzStrcP3/jSL8g==",
-      "dev": true,
-      "requires": {
-        "@babel/highlight": "7.0.0-beta.44"
-      }
-    },
-    "@babel/generator": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/generator/-/generator-7.0.0-beta.44.tgz",
-      "integrity": "sha512-5xVb7hlhjGcdkKpMXgicAVgx8syK5VJz193k0i/0sLP6DzE6lRrU1K3B/rFefgdo9LPGMAOOOAWW4jycj07ShQ==",
-      "dev": true,
-      "requires": {
-        "@babel/types": "7.0.0-beta.44",
-        "jsesc": "^2.5.1",
-        "lodash": "^4.2.0",
-        "source-map": "^0.5.0",
-        "trim-right": "^1.0.1"
-      },
-      "dependencies": {
-        "jsesc": {
-          "version": "2.5.1",
-          "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.1.tgz",
-          "integrity": "sha1-5CGiqOINawgZ3yiQj3glJrlt0f4=",
-          "dev": true
-        },
-        "source-map": {
-          "version": "0.5.7",
-          "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
-          "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w=",
-          "dev": true
-        }
-      }
-    },
-    "@babel/helper-function-name": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.0.0-beta.44.tgz",
-      "integrity": "sha512-MHRG2qZMKMFaBavX0LWpfZ2e+hLloT++N7rfM3DYOMUOGCD8cVjqZpwiL8a0bOX3IYcQev1ruciT0gdFFRTxzg==",
-      "dev": true,
-      "requires": {
-        "@babel/helper-get-function-arity": "7.0.0-beta.44",
-        "@babel/template": "7.0.0-beta.44",
-        "@babel/types": "7.0.0-beta.44"
-      }
-    },
-    "@babel/helper-get-function-arity": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/helper-get-function-arity/-/helper-get-function-arity-7.0.0-beta.44.tgz",
-      "integrity": "sha512-w0YjWVwrM2HwP6/H3sEgrSQdkCaxppqFeJtAnB23pRiJB5E/O9Yp7JAAeWBl+gGEgmBFinnTyOv2RN7rcSmMiw==",
-      "dev": true,
-      "requires": {
-        "@babel/types": "7.0.0-beta.44"
-      }
-    },
-    "@babel/helper-split-export-declaration": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.0.0-beta.44.tgz",
-      "integrity": "sha512-aQ7QowtkgKKzPGf0j6u77kBMdUFVBKNHw2p/3HX/POt5/oz8ec5cs0GwlgM8Hz7ui5EwJnzyfRmkNF1Nx1N7aA==",
-      "dev": true,
-      "requires": {
-        "@babel/types": "7.0.0-beta.44"
-      }
-    },
-    "@babel/highlight": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/highlight/-/highlight-7.0.0-beta.44.tgz",
-      "integrity": "sha512-Il19yJvy7vMFm8AVAh6OZzaFoAd0hbkeMZiX3P5HGD+z7dyI7RzndHB0dg6Urh/VAFfHtpOIzDUSxmY6coyZWQ==",
-      "dev": true,
-      "requires": {
-        "chalk": "^2.0.0",
-        "esutils": "^2.0.2",
-        "js-tokens": "^3.0.0"
-      }
-    },
-    "@babel/template": {
-      "version": "7.0.0-beta.44",
-      "resolved": "http://registry.npmjs.org/@babel/template/-/template-7.0.0-beta.44.tgz",
-      "integrity": "sha512-w750Sloq0UNifLx1rUqwfbnC6uSUk0mfwwgGRfdLiaUzfAOiH0tHJE6ILQIUi3KYkjiCDTskoIsnfqZvWLBDng==",
-      "dev": true,
-      "requires": {
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diff --git a/dmriprepViewer/package.json b/dmriprepViewer/package.json
deleted file mode 100644
index 72cca808..00000000
--- a/dmriprepViewer/package.json
+++ /dev/null
@@ -1,95 +0,0 @@
-{
-  "name": "dmriprep-viewer",
-  "version": "1.0.0",
-  "description": "Viewer for dmriprep reports",
-  "author": "akeshavan <keshavan@berkeley.edu>",
-  "private": true,
-  "scripts": {
-    "dev": "webpack-dev-server --inline --progress --config build/webpack.dev.conf.js",
-    "start": "npm run dev",
-    "unit": "jest --config test/unit/jest.conf.js --coverage",
-    "e2e": "node test/e2e/runner.js",
-    "test": "npm run unit && npm run e2e",
-    "lint": "eslint --ext .js,.vue src test/unit test/e2e/specs",
-    "build": "node build/build.js",
-    "snyk-protect": "snyk protect",
-    "prepare": "npm run snyk-protect"
-  },
-  "dependencies": {
-    "axios": "^0.18.0",
-    "bootstrap-vue": "^2.0.0-rc.11",
-    "brainsprite.js": "git+https://git@github.com/SIMEXP/brainsprite.js.git",
-    "d3": "^5.7.0",
-    "lodash": "^4.17.11",
-    "vue": "^2.5.2",
-    "vue-router": "^3.0.1",
-    "vue-slider-component": "^2.7.7",
-    "snyk": "^1.189.0"
-  },
-  "devDependencies": {
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-    "babel-core": "^6.22.1",
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diff --git a/dmriprepViewer/src/App.vue b/dmriprepViewer/src/App.vue
deleted file mode 100644
index 1d0185f2..00000000
--- a/dmriprepViewer/src/App.vue
+++ /dev/null
@@ -1,30 +0,0 @@
-<template>
-  <div id="app">
-    <router-view/>
-  </div>
-</template>
-
-<script>
-import Vue from 'vue';
-import BootstrapVue from 'bootstrap-vue';
-// eslint-disable-next-line
-import 'bootstrap/dist/css/bootstrap.css';
-import 'bootstrap-vue/dist/bootstrap-vue.css';
-
-Vue.use(BootstrapVue);
-
-export default {
-  name: 'App',
-};
-</script>
-
-<style>
-#app {
-  font-family: 'Avenir', Helvetica, Arial, sans-serif;
-  -webkit-font-smoothing: antialiased;
-  -moz-osx-font-smoothing: grayscale;
-  text-align: center;
-  color: #2c3e50;
-  margin-top: 60px;
-}
-</style>
diff --git a/dmriprepViewer/src/assets/logo.svg b/dmriprepViewer/src/assets/logo.svg
deleted file mode 100644
index 16528882..00000000
--- a/dmriprepViewer/src/assets/logo.svg
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/dmriprepViewer/src/components/BrainSprite.vue b/dmriprepViewer/src/components/BrainSprite.vue
deleted file mode 100644
index 15384a24..00000000
--- a/dmriprepViewer/src/components/BrainSprite.vue
+++ /dev/null
@@ -1,75 +0,0 @@
-<template>
-  <div class="brainsprite">
-        <div v-if="!done">Hold on...</div>
-        <canvas :id="id"></canvas>
-        <img :id="id+'_spriteImg'"
-         class="hidden"
-         :src="'data:image/png;base64,' + base"
-         v-if="showOrig"
-        />
-        <img :id="id+'_overlayImg'"
-         class="hidden"
-         v-if="overlay && showOrig"
-         :src="'data:image/png;base64,' + overlay"
-        />
-  </div>
-</template>
-
-<style scoped>
-  .hidden {
-    visibility: hidden;
-    /* display: none; */
-  }
-  canvas {
-    width: 100%;
-  }
-  img {
-    /* width: 10px;
-    height: 10px; */
-  }
-</style>
-
-<script>
-import brainsprite from './brainsprite';
-
-export default {
-  name: 'brainsprite',
-  props: ['base', 'overlay', 'id',
-    'base_dim_x', 'base_dim_y',
-    'overlay_dim_x', 'overlay_dim_y'],
-  data() {
-    return {
-      brain: null,
-      showOrig: true,
-      done: false,
-      ready: false,
-    };
-  },
-  methods: {
-    initBrainSprite() {
-      /* eslint-disable-next-line */
-      const brain = new brainsprite({
-        canvas: this.id,
-        sprite: `${this.id}_spriteImg`,
-        nbSlice: { Y: this.base_dim_x, Z: this.base_dim_y },
-        overlay: {
-          sprite: `${this.id}_overlayImg`,
-          nbSlice: { Y: this.overlay_dim_x, Z: this.overlay_dim_y },
-          opacity: 0.5,
-        },
-      });
-      this.brain = brain;
-      this.showOrig = false;
-      this.done = true;
-    },
-  },
-  mounted() {
-    this.$nextTick(() => {
-      setTimeout(() => {
-        this.ready = true;
-        this.initBrainSprite();
-      }, 100);
-    });
-  },
-};
-</script>
diff --git a/dmriprepViewer/src/components/Bucket.vue b/dmriprepViewer/src/components/Bucket.vue
deleted file mode 100644
index 4d3e65b5..00000000
--- a/dmriprepViewer/src/components/Bucket.vue
+++ /dev/null
@@ -1,195 +0,0 @@
-<template>
-  <div class="bucket">
-    <div class="row">
-      <div class="col-md-3">
-        <div class="container">
-        <h3>{{bucket}} ({{manifestEntries.length}})</h3>
-          <div class="mb-3">
-            <b-button v-if="!statsReady" @click="getAllReports">
-              Compute Statistics
-            </b-button>
-          </div>
-          <b-nav vertical pills class="w-100">
-            <!-- <b-nav-item active>Active</b-nav-item> -->
-            <b-nav-item v-for="(subject, index) in manifestEntries"
-             :key="subject" :active="index === currentReportIdx"
-             @click="currentReportIdx = index">
-              {{subject.split('/')[0]}}
-            </b-nav-item>
-          </b-nav>
-        </div>
-      </div>
-      <div class="col-md-9">
-        <h1 v-if="manifestEntries.length">
-          {{manifestEntries[currentReportIdx].split('/')[0]}}
-        </h1>
-        <div v-if="statsReady">
-          <GroupStats :data="allReports" :individual="currentReport.eddy_quad"/>
-        </div>
-        <div v-if="ready">
-          <report
-            :reportProp="currentReport"
-          />
-        </div>
-        <div v-else>
-          loading...
-        </div>
-      </div>
-    </div>
-  </div>
-</template>
-
-<script>
-import axios from 'axios';
-import _ from 'lodash';
-import Report from './Report';
-import GroupStats from './GroupStats';
-
-export default {
-  name: 'bucket',
-  data() {
-    return {
-      manifestEntries: [],
-      currentReportIdx: 0,
-      currentReport: {},
-      ready: false,
-      allReports: [],
-      statsReady: false,
-    };
-  },
-  components: {
-    Report,
-    GroupStats,
-  },
-  methods: {
-    getReport(r) {
-      return axios.get(`https://s3-us-west-2.amazonaws.com/${this.bucket}/${r}`);
-    },
-    /**
-    *
-    */
-    async getAllReports() {
-      this.statsReady = false;
-      const reports = await _.map(this.manifestEntries, m => this.getReport(m));
-      _.map(reports, (r) => {
-        r.then((resp) => {
-          if (resp.data.eddy_quad) {
-            this.allReports.push(resp.data.eddy_quad);
-          }
-        });
-      });
-      this.statsReady = true;
-    },
-    /**
-    * XML parser for pubmed query returns.
-    */
-    xmlParser(input) {
-      const parser = new DOMParser();
-      const xmlDoc = parser.parseFromString(input, 'text/xml');
-      return xmlDoc;
-    },
-    /**
-    *
-    */
-    parseS3(data) {
-      const xml = this.xmlParser(data);
-      const keys = xml.getElementsByTagName('Key');
-      const continuation = xml.getElementsByTagName('NextContinuationToken');
-      const isTruncated = xml.getElementsByTagName('IsTruncated')[0].innerHTML;
-      if (isTruncated === 'true') {
-        this.continuation = encodeURIComponent(continuation[0].innerHTML);
-      } else {
-        this.continuation = null;
-      }
-      const allKeys = _.map(keys, k => k.innerHTML);
-      const reportsFiltered = _.filter(allKeys, k => k.endsWith('_report.json'));// _.map(allKeys, k => k.split('/')[0]);
-      const keysFixed = _.uniq(reportsFiltered);
-      return keysFixed;
-    },
-    /**
-    * if there is a continuation token..
-    */
-    S3Continuation(token) {
-      let url = `https://s3-us-west-2.amazonaws.com/${this.bucket}/?list-type=2&`;
-      // url += `prefix=${this.config.manifestS3.prefix}/&max-keys=100000`;
-      url += '&max-keys=100000';
-      // url += `&delimiter=${this.config.manifestS3.delimiter}`;
-      url += `&continuation-token=${token}`;
-      if (!token) {
-        return 0;
-      }
-      return axios.get(url).then((resp) => {
-        const keysFixed2 = this.parseS3(resp.data);
-        this.manifestEntries = _.uniq(this.manifestEntries.concat(keysFixed2));
-        if (this.continuation) {
-          this.S3Continuation(this.continuation);
-        }
-      });
-    },
-    /**
-    * get a list of files that are in a bucket of an S3
-    * with a prefix and a delimiter (usually, a .)
-    * TODO: make the keys firebase safe!!
-    */
-    getS3Manifest() {
-      let url = `https://s3-us-west-2.amazonaws.com/${this.bucket}/?list-type=2&`;
-      url += '&max-keys=100000';
-      // url += `prefix=${this.config.manifestS3.prefix}
-      // /&max-keys=${this.config.manifestS3.max_keys}`;
-      // url += `&delimiter=${this.config.manifestS3.delimiter}`;
-      // console.log(url);
-      return axios.get(url).then((resp) => {
-        const keysFixed = this.parseS3(resp.data);
-        this.manifestEntries = _.uniq(this.manifestEntries.concat(keysFixed));
-        if (this.continuation) {
-          this.S3Continuation(this.continuation);
-        }
-      });
-    },
-    updateReport() {
-      this.ready = false;
-      const reportUrl = `https://s3-us-west-2.amazonaws.com/${this.bucket}/${this.manifestEntries[this.currentReportIdx]}`;
-      return axios.get(reportUrl)
-        .then((resp) => {
-          this.currentReport = resp.data;
-          this.ready = true;
-          this.$router.replace({ name: 'Bucket',
-            params: { bucket: this.bucket },
-            query: { report: reportUrl } });
-        });
-    },
-  },
-  computed: {
-    bucket() {
-      return this.$route.params.bucket;
-    },
-  },
-  watch: {
-    bucket() {
-      this.getS3Manifest();
-    },
-    currentReportIdx() {
-      this.updateReport();
-    },
-  },
-  mounted() {
-    let path = null;
-    if (this.$route.query) {
-      if (this.$route.query.report) {
-        path = this.$route.query.report.split(`https://s3-us-west-2.amazonaws.com/${this.bucket}/`)[1];
-      }
-    }
-
-    this.getS3Manifest().then(this.updateReport).then(() => {
-      if (path) {
-        this.currentReportIdx = this.manifestEntries.indexOf(path);
-      }
-      this.getAllReports();
-    });
-  },
-};
-</script>
-
-<style>
-
-</style>
diff --git a/dmriprepViewer/src/components/GroupStats.vue b/dmriprepViewer/src/components/GroupStats.vue
deleted file mode 100644
index d17716d9..00000000
--- a/dmriprepViewer/src/components/GroupStats.vue
+++ /dev/null
@@ -1,96 +0,0 @@
-<template>
-  <div>
-    <div class="mb-3">
-      <p class="lead">
-        Comparison to Group Eddy_Quad Statistics
-      </p>
-      <p>Absolute Motion (Z = {{numberFormatter(individual_abs_mot_z)}})</p>
-      <b-progress class="w-50 mx-auto">
-        <b-progress-bar :value="scaleZ(individual_abs_mot_z)"
-         :variant="getColor(0, individual_abs_mot_z)">
-          z = {{numberFormatter(individual_abs_mot_z)}}
-        </b-progress-bar>
-      </b-progress>
-    </div>
-    <div class="mb-3">
-      <p>Relative Motion (Z = {{numberFormatter(individual_rel_mot_z)}})</p>
-      <b-progress class="w-50 mx-auto">
-        <b-progress-bar :value="scaleZ(individual_rel_mot_z)"
-         :variant="getColor(0, individual_rel_mot_z)">
-          z = {{numberFormatter(individual_rel_mot_z)}}
-        </b-progress-bar>
-      </b-progress>
-    </div>
-
-  </div>
-</template>
-
-<script>
-// import _ from 'lodash';
-const d3 = require('d3');
-
-export default {
-  name: 'GroupStats',
-  props: ['data', 'individual'],
-  data() {
-    return {
-
-    };
-  },
-  methods: {
-    scaleZ(val) {
-      const scaler = d3.scaleLinear().range([0, 100]).domain([-3, 3]);
-      return scaler(val);
-    },
-    numberFormatter(val) {
-      const formatter = d3.format('.3n');
-      return formatter(val);
-    },
-    getColor(direction, zScore) {
-      if (direction) {
-        // positive is good
-        if (zScore <= -1) {
-          return 'danger';
-        } else if (zScore >= 1) {
-          return 'success';
-        }
-      }
-      if (zScore <= -1) {
-        return 'success';
-      } else if (zScore >= 1) {
-        return 'danger';
-      }
-      return 'primary';
-    },
-  },
-  computed: {
-    mean_group_abs_mot() {
-      return d3.mean(this.data, d => d.qc_mot_abs);
-    },
-    std_group_abs_mot() {
-      return d3.deviation(this.data, d => d.qc_mot_abs);
-    },
-    individual_abs_mot_z() {
-      if (this.individual) {
-        return (this.individual.qc_mot_abs - this.mean_group_abs_mot) / this.std_group_abs_mot;
-      }
-      return null;
-    },
-    mean_group_rel_mot() {
-      return d3.mean(this.data, d => d.qc_mot_rel);
-    },
-    std_group_rel_mot() {
-      return d3.deviation(this.data, d => d.qc_mot_rel);
-    },
-    individual_rel_mot_z() {
-      if (this.individual) {
-        return (this.individual.qc_mot_rel - this.mean_group_rel_mot) / this.std_group_rel_mot;
-      }
-      return null;
-    },
-  },
-};
-</script>
-
-<style>
-</style>
diff --git a/dmriprepViewer/src/components/HelloWorld.vue b/dmriprepViewer/src/components/HelloWorld.vue
deleted file mode 100644
index e225ba2d..00000000
--- a/dmriprepViewer/src/components/HelloWorld.vue
+++ /dev/null
@@ -1,114 +0,0 @@
-<template>
-  <b-container>
-      <img class="logo" src="../assets/logo.svg" />
-      <h1>dmriprep Viewer</h1>
-      <p class="lead">Upload your report.json file from dmriprep</p>
-      <b-form-file class="mt-3" v-model="file"
-       :state="Boolean(file)" placeholder="Choose a file...">
-     </b-form-file>
-
-     <p class="lead mt-3">OR copy/paste a URL</p>
-     <b-input-group size="md" class="mb-3" prepend="URL">
-        <b-form-input v-model="url" />
-        <b-input-group-append>
-          <b-btn size="md" text="Button"
-           variant="primary"
-           @click="navigate">Go</b-btn>
-        </b-input-group-append>
-      </b-input-group>
-
-      <p class="lead mt-3">OR point to an S3 bucket</p>
-      <b-input-group size="md" class="mb-3" prepend="Bucket">
-         <b-form-input v-model="bucket" />
-         <b-input-group-append>
-           <b-btn size="md" text="Button"
-            variant="primary"
-            @click="s3">Go</b-btn>
-         </b-input-group-append>
-       </b-input-group>
-
-      <report v-if="report.b0" :reportProp="report"></report>
-  </b-container>
-</template>
-
-<script>
-import vueSlider from 'vue-slider-component';
-import sprite4d from './Sprite4D';
-import lineChart from './LineChart';
-import report from './Report';
-
-
-export default {
-  name: 'HelloWorld',
-  components: {
-    sprite4d,
-    vueSlider,
-    lineChart,
-    report,
-  },
-  data() {
-    return {
-      file: null,
-      msg: 'Welcome to Your Vue.js App',
-      report: {},
-      time: 0,
-      spriteSlice: 0,
-      url: null,
-      bucket: null,
-    };
-  },
-  methods: {
-    get_mid_slice() {
-      return Math.floor(this.report.b0.num_slices / 2);
-    },
-    navigate() {
-      this.$router.push({ path: '/report', query: { url: this.url } });
-    },
-    s3() {
-      this.$router.push({ path: `/bucket/${this.bucket}` });
-    },
-  },
-  watch: {
-    file() {
-      if (this.file) {
-        const reader = new FileReader();
-        const self = this;
-        reader.onload = function Load(e) {
-          const contents = e.target.result;
-          self.report = JSON.parse(contents);
-          // console.log(self.report);
-        };
-        reader.readAsText(this.file);
-      }
-    },
-    report() {
-      if (this.report.b0) {
-        this.spriteSlice = this.get_mid_slice();
-      }
-    },
-  },
-};
-</script>
-
-<!-- Add "scoped" attribute to limit CSS to this component only -->
-<style scoped>
-
-.logo {
-  max-width: 300px;
-}
-
-h1, h2 {
-  font-weight: normal;
-}
-ul {
-  list-style-type: none;
-  padding: 0;
-}
-li {
-  display: inline-block;
-  margin: 0 10px;
-}
-a {
-  color: #42b983;
-}
-</style>
diff --git a/dmriprepViewer/src/components/LineChart.vue b/dmriprepViewer/src/components/LineChart.vue
deleted file mode 100644
index e335b6bd..00000000
--- a/dmriprepViewer/src/components/LineChart.vue
+++ /dev/null
@@ -1,191 +0,0 @@
-<template>
-  <svg ref="chart" :id="id" class="lineChart"></svg>
-</template>
-
-<script>
-const d3 = require('d3');
-
-window.d3 = d3;
-
-export default {
-  name: 'lineChart',
-  data() {
-    return {
-      svg: null,
-      g: null,
-      x: null,
-      y: null,
-      xDomain: [0, 1],
-      yDomain: [0, 1],
-      margin: { top: 20, right: 20, bottom: 30, left: 50 },
-      lines: [],
-    };
-  },
-  computed: {
-    width() {
-      return this.$refs.chart.clientWidth - this.margin.left - this.margin.right;
-    },
-    height() {
-      return this.$refs.chart.clientHeight - this.margin.top - this.margin.bottom;
-    },
-  },
-  watch: {
-    highlightIdx() {
-      // console.log('watching', this.highlightIdx)
-      this.updateHighlightPoints();
-    },
-  },
-  methods: {
-    initAx() {
-      // console.log(this.$refs.chart.clientWidth);
-      const svg = d3.select(`#${this.id}`);
-
-      // const width = this.$refs.chart.clientWidth - margin.left - margin.right
-      // const height = this.$refs.chart.clientHeight - margin.top - margin.bottom
-      const g = svg.append('g').attr('transform', `translate(${this.margin.left}, ${this.margin.top})`);
-      const y = d3.scaleLinear()
-        .range([this.height, 0]);
-      const x = d3.scaleLinear()
-        .range([0, this.width]);
-
-      this.svg = svg;
-      this.g = g;
-      this.x = x;
-      this.y = y;
-
-      this.initXaxis();
-      this.initYaxis();
-      this.initHighlightPoints();
-    },
-    initXaxis() {
-      this.g.append('g')
-        .attr('class', 'x axis')
-        .attr('transform', `translate(0, ${this.height})`)
-        .call(d3.axisBottom(this.x));
-      // this.updateXaxis();
-    },
-    updateXaxis() {
-      this.x.range([0, this.width]).domain(this.xDomain);
-      d3.select(`#${this.id} .x.axis`).call(d3.axisBottom(this.x));
-    },
-    initYaxis() {
-      this.g.append('g')
-        .attr('class', 'y axis')
-        .call(d3.axisLeft(this.y))
-        .append('text')
-        .attr('fill', '#000')
-        .attr('transform', 'rotate(-90)')
-        .attr('y', 6)
-        .attr('dy', '0.71em')
-        .attr('text-anchor', 'end')
-        .text(this.ylabel);
-      // this.updateYaxis();
-    },
-    updateYaxis() {
-      this.y.range([this.height, 0]).domain(this.yDomain);
-      d3.select(`#${this.id} .y.axis`).call(d3.axisLeft(this.y));
-    },
-    initHighlightPoints() {
-      this.g.append('circle').attr('class', 'dot-series-1');
-      this.g.append('circle').attr('class', 'dot-series-2');
-    },
-    updateHighlightPoints() {
-      const self = this;
-      d3.select(`#${this.id} .dot-series-1`)
-        .attr('r', 7)
-        .attr('cx', () => self.x(self.highlightIdx))
-        .attr('cy', () => self.y(self.data[self.highlightIdx][0]))
-        .attr('fill', 'steelblue');
-
-      d3.select(`#${this.id} .dot-series-2`)
-        .attr('r', 7)
-        .attr('cx', () => self.x(self.highlightIdx))
-        .attr('cy', () => self.y(self.data[self.highlightIdx][1]))
-        .attr('fill', 'red');
-    },
-    plotData() {
-      const self = this;
-
-      /* eslint-disable */
-      const minX = d3.min(this.data, function g(d, i) { return i; });
-      const maxX = d3.max(this.data, function g(d, i) { return i; });
-
-      const maxY = d3.max(this.data, function g(d, i) { return d3.max(d); });
-      const minY = d3.min(this.data, function g(d, i) { return d3.min(d); });
-      /* eslint-enable */
-
-      this.xDomain = [minX, maxX];
-      this.yDomain = [minY, maxY];
-
-      this.updateXaxis();
-      this.updateYaxis();
-
-      /* eslint-disable */
-      const line1 = d3.line()
-             .x(function f(d, i) { return self.x(i); })
-             .y(function f(d, i) { return self.y(d[0]); });
-
-      const line2 = d3.line()
-             .x(function f(d, i) { return self.x(i); })
-             .y(function f(d, i) { return self.y(d[1]); });
-      /* eslint-enable */
-
-      this.lines = [line1, line2];
-
-
-      this.g.append('path')
-        .attr('class', 'series-1')
-        .datum(this.data)
-        .attr('fill', 'none')
-        .attr('stroke', 'steelblue')
-        .attr('stroke-linejoin', 'round')
-        .attr('stroke-linecap', 'round')
-        .attr('stroke-width', 1.5)
-        .attr('d', line1);
-
-      this.g.append('path')
-        .attr('class', 'series-2')
-        .datum(this.data)
-        .attr('fill', 'none')
-        .attr('stroke', 'red')
-        .attr('stroke-linejoin', 'round')
-        .attr('stroke-linecap', 'round')
-        .attr('stroke-width', 1.5)
-        .attr('d', line2);
-
-      this.g.selectAll('.outlier')
-        .data(this.outlier_indices)
-        .enter()
-        .append('rect')
-        .attr('class', 'outlier')
-        .attr('x', i => self.x(i) - 1.5)
-        .attr('y', () => self.y(maxY))
-        .attr('width', '3px')
-        .attr('height', () => `${self.height}px`)
-        .attr('fill', 'black');
-
-
-      this.svg.on('mousemove', () => {
-        // const x0 = self.x.invert(d3.mouse(this)[0]);
-        // const bisect = d3.bisector(function(d){return d[0]}).left;
-        // window.bisect = bisect;
-        // console.log(x0, self.x(0));
-      });
-    },
-
-
-  },
-  mounted() {
-    this.initAx();
-    this.plotData();
-  },
-  props: ['ylabel', 'xlabel', 'data', 'id', 'highlightIdx', 'outlier_indices'],
-};
-</script>
-
-<style>
-  .lineChart {
-    width: 100%;
-    height: 100%;
-  }
-</style>
diff --git a/dmriprepViewer/src/components/Report.vue b/dmriprepViewer/src/components/Report.vue
deleted file mode 100644
index a1c333d3..00000000
--- a/dmriprepViewer/src/components/Report.vue
+++ /dev/null
@@ -1,162 +0,0 @@
-<template>
-  <div class="mt-3 container">
-    <div v-if="report">
-      <h2 class="mt-3 pt-3">Corrected dwi</h2>
-      <p class="lead">Result of eddy</p>
-
-      <sprite4d v-for="view in report.dwi_corrected"
-                :key="view.orientation"
-                :M="view.M"
-                :N="view.N"
-                :img="view.img"
-                :num_slices="view.num_slices"
-                :pix="view.pix"
-                :id="view.orientation"
-                :time="time"
-                :overlayMode="false"
-                opacity="1"
-      >
-      </sprite4d>
-      <vue-slider ref="timeSlider" v-model="time"
-       :min="0" :max="report.dwi_corrected[0].num_slices-1">
-     </vue-slider>
-      <h2 class="mt-3 pt-3">Eddy Report</h2>
-      <p class="lead"> <b-btn v-b-toggle.collapse1 variant="primary">
-        Outliers ({{report.eddy_report.length}})</b-btn> </p>
-        <b-collapse id="collapse1" class="mt-2">
-          <b-card>
-
-            <p v-for="e in report.eddy_report" :key="e">{{e}}</p>
-
-          </b-card>
-        </b-collapse>
-
-        <div style="height: 200px; width: 100%; display: inline-flex;">
-          <line-chart id="motion_params"
-           :data="report.eddy_params"
-           :outlier_indices="report.outlier_volumes"
-           xlabel="TR"
-           ylabel="RMS"
-           :highlightIdx="time"
-          >
-          </line-chart>
-        </div>
-
-      <h2 class="mt-3 pt-3">Registration + Brain Mask</h2>
-      <p class="lead">Brain mask computed on T1w, and mapped to B0</p>
-
-      <BrainSprite
-        id="brainMaskSprite"
-        ref="brainMaskSprite"
-        :base_dim_x="report.b0.pix"
-        :base_dim_y="report.b0.pix"
-        :overlay_dim_x="report.anat_mask.pix"
-        :overlay_dim_y="report.anat_mask.pix"
-        :base="report.b0.img"
-        :overlay="report.anat_mask.img"
-      />
-
-      <h2 class="mt-3 pt-3">DTI: ColorFA</h2>
-      <p class="lead">Color FA mapped on B0</p>
-
-      <BrainSprite
-        id="colorFASprite"
-        ref="colorFASprite"
-        :base_dim_x="report.b0.pix"
-        :base_dim_y="report.b0.pix"
-        :overlay_dim_x="report.colorFA.pix"
-        :overlay_dim_y="report.colorFA.pix"
-        :base="report.b0.img"
-        :overlay="report.colorFA.img"
-      />
-
-    </div>
-  </div>
-</template>
-
-<script>
-import axios from 'axios';
-import vueSlider from 'vue-slider-component';
-import sprite4d from './Sprite4D';
-import lineChart from './LineChart';
-import BrainSprite from './BrainSprite.vue';
-
-export default {
-  name: 'report',
-  components: {
-    sprite4d,
-    vueSlider,
-    lineChart,
-    BrainSprite,
-  },
-  data() {
-    return {
-      time: 0,
-      spriteSlice: 0,
-      report: null,
-    };
-  },
-  methods: {
-    get_mid_slice() {
-      return Math.floor(this.report.b0.num_slices / 2);
-    },
-  },
-  created() {
-    // console.log('in created', this.$route.query);
-    if (this.$route.query) {
-      // load the json
-      if (!this.$route.query.url && this.$route.name === 'Report') {
-        this.$router.push('/');
-      } else if (this.$route.query.url) {
-        axios.get(this.$route.query.url).then((resp) => {
-          this.report = resp.data;
-        });
-      }
-    }
-  },
-  mounted() {
-    if (this.reportProp) {
-      this.report = this.reportProp;
-    }
-    this.$nextTick(() => {
-      if (this.report) {
-        this.spriteSlice = this.get_mid_slice();
-        // this.$refs.brainMaskSprite.initBrainSprite();
-        // this.$refs.colorFASprite.initBrainSprite();
-      }
-    });
-  },
-  watch: {
-    reportProp() {
-      if (this.reportProp) {
-        this.report = this.reportProp;
-      }
-    },
-    report() {
-      if (this.report) {
-        this.spriteSlice = this.get_mid_slice();
-      }
-    },
-    $route() {
-      if (this.$route.query) {
-        // load the json
-        if (!this.$route.query.url && this.$route.name === 'Report') {
-          this.$router.push('/');
-        } else {
-          console.log('getting axios?', this.$route.query.url);
-          axios.get(this.$route.query.url).then((resp) => {
-            this.report = resp.data;
-          });
-        }
-      }
-    },
-  },
-  props: {
-    reportProp: Object,
-  },
-};
-</script>
-
-<style>
-
-</style>
diff --git a/dmriprepViewer/src/components/Sprite4D.vue b/dmriprepViewer/src/components/Sprite4D.vue
deleted file mode 100644
index 2180661d..00000000
--- a/dmriprepViewer/src/components/Sprite4D.vue
+++ /dev/null
@@ -1,63 +0,0 @@
-<template>
-  <span class="mt-3">
-    <div class="sprite" :id="id" :style="style">
-    </div>
-  </span>
-</template>
-
-<script>
-export default {
-  name: 'sprite4d',
-  computed: {
-    row_idx() {
-      return Math.floor(this.time / this.M);
-    },
-    col_idx() {
-      return this.time % this.M;
-    },
-    style() {
-      const output = {
-        width: `${this.pix}px`,
-        height: `${this.pix}px`,
-        zoom: 3,
-        'background-position-x': `-${this.col_idx * this.pix}px`,
-        'background-position-y': `-${this.row_idx * this.pix}px`,
-        'background-image': `url('data:image/png;base64,${this.img}')`,
-        display: 'inline-flex',
-        opacity: this.opacity,
-      };
-      if (this.overlayMode) {
-        output.position = 'absolute';
-        output.left = `calc(50% - ${this.pix / 2}px)`;
-      }
-
-      return output;
-    },
-  },
-  data() {
-    return {
-
-    };
-  },
-  methods: {
-
-  },
-  mounted() {
-
-  },
-  watch: {
-    time() {
-
-    },
-  },
-  props: [
-    'M', 'N', 'pix', 'num_slices', 'img', 'id', 'time', 'overlayMode', 'opacity',
-  ],
-};
-</script>
-
-<style>
-  .sprite {
-    background-position: "0px 0px"
-  }
-</style>
diff --git a/dmriprepViewer/src/components/brainsprite.js b/dmriprepViewer/src/components/brainsprite.js
deleted file mode 100644
index e0281843..00000000
--- a/dmriprepViewer/src/components/brainsprite.js
+++ /dev/null
@@ -1,587 +0,0 @@
-/* eslint-disable */
-function brainsprite(params) {
-
-  // Function to add nearest neighbour interpolation to a canvas
-  function setNearestNeighbour(context,flag){
-    context.imageSmoothingEnabled = flag;
-    return context;
-  }
-
-  // Initialize the brain object
-  var brain = {};
-
-  // Initialize the brain object
-  var defaultParams = {
-     // Flag for "NaN" image values, i.e. unable to read values
-    nanValue: false,
-
-     // Smoothing of the main slices
-    smooth: false,
-
-     // Draw (or not) the current value
-     flagValue: false,
-
-     // Background color for the canvas
-    colorBackground: '#000000',
-
-    // Flag to turn on/off slice numbers
-    flagCoordinates: false,
-
-    // Origins and voxel size
-    origin: { X: 0, Y: 0, Z: 0 },
-    voxelSize: 1,
-
-    // Affine transformation
-    affine: false,
-
-    // Colorbar size parameters
-    heightColorBar: 0.04,
-
-    // Font parameters
-    sizeFont: 0.075,
-    colorFont: '#FFFFFF',
-
-    // Number of decimals displayed
-    nbDecimals: 3,
-
-    // Flag to turn on/off the crosshair
-    crosshair: false,
-
-    // Color of the crosshair
-    colorCrosshair: "#0000FF",
-
-    // Size crosshair - percentage of the field of view
-    sizeCrosshair: 0.9,
-
-    // Optional title for the viewer
-    title: false,
-
-    // Coordinates for the initial cut
-    numSlice: false,
-  }
-
-  var brain = Object.assign({}, defaultParams, params);
-
-  // Build affine, if not specified
-  if (typeof brain.affine === 'boolean' && brain.affine === false) {
-    brain.affine = [[brain.voxelSize , 0 , 0 , -brain.origin.X],
-                    [0 , brain.voxelSize , 0 , -brain.origin.Y],
-                    [0 , 0 , brain.voxelSize , -brain.origin.Z],
-                    [0 , 0 , 0               , 1]]
-
-  }
-
-  // The main canvas, where the three slices are drawn
-  brain.canvas = document.getElementById(params.canvas);
-  brain.context = brain.canvas.getContext('2d');
-  brain.context = setNearestNeighbour(brain.context,brain.smooth);
-
-  // An in-memory canvas to draw intermediate reconstruction
-  // of the coronal slice, at native resolution
-  brain.canvasY = document.createElement('canvas');
-  brain.contextY = brain.canvasY.getContext('2d');
-
-  // An in-memory canvas to draw intermediate reconstruction
-  // of the axial slice, at native resolution
-  brain.canvasZ = document.createElement('canvas');
-  brain.contextZ = brain.canvasZ.getContext('2d');
-
-  // An in-memory canvas to read the value of pixels
-  brain.canvasRead = document.createElement('canvas');
-  brain.contextRead = brain.canvasRead.getContext('2d');
-  brain.canvasRead.width = 1;
-  brain.canvasRead.height = 1;
-
-  // Onclick events
-  brain.onclick = typeof params.onclick !== 'undefined' ? params.onclick : "";
-
-  // Font parameters
-  if (brain.flagCoordinates) {
-    brain.spaceFont = 0.1;
-  } else {
-    brain.spaceFont = 0;
-  };
-
-  //******************//
-  // The sprite image //
-  //******************//
-  brain.sprite = document.getElementById(params.sprite);
-
-  // Number of columns and rows in the sprite
-  brain.nbCol = brain.sprite.width/params.nbSlice.Y;
-  brain.nbRow = brain.sprite.height/params.nbSlice.Z;
-  // Number of slices
-
-  brain.nbSlice = {
-    X: typeof params.nbSlice.X !== 'undefined' ? params.nbSlice.X : brain.nbCol*brain.nbRow,
-    Y: params.nbSlice.Y,
-    Z: params.nbSlice.Z
-  };
-
-  // width and height for the canvas
-  brain.widthCanvas  = {'X':0 , 'Y':0 , 'Z':0 };
-  brain.heightCanvas = {'X':0 , 'Y':0 , 'Z':0 , 'max':0};
-
-  // the slice numbers
-  if (brain.numSlice == false) {
-    brain.numSlice = { X: Math.floor(brain.nbSlice.X/2),
-                       Y: Math.floor(brain.nbSlice.Y/2),
-                       Z: Math.floor(brain.nbSlice.Z/2)}
-  };
-
-  // Coordinates for current slices - these will get updated when drawing the slices
-  brain.coordinatesSlice = {'X': 0, 'Y': 0, 'Z': 0 };
-
-  //*************//
-  // The planes  //
-  //*************//
-  brain.planes = {};
-  // A master sagital canvas for the merge of background and overlay
-  brain.planes.canvasMaster = document.createElement('canvas');
-  brain.planes.contextMaster = brain.planes.canvasMaster.getContext('2d');
-
-  //*************//
-  // The overlay //
-  //*************//
-  params.overlay = typeof params.overlay !== 'undefined' ? params.overlay : false;
-  if (params.overlay) {
-      // Initialize the overlay
-      brain.overlay = {};
-      // Get the sprite
-      brain.overlay.sprite = document.getElementById(params.overlay.sprite);
-      // Ratio between the resolution of the foreground and background
-      // Number of columns and rows in the overlay
-      brain.overlay.nbCol = brain.overlay.sprite.width/params.overlay.nbSlice.Y;
-      brain.overlay.nbRow = brain.overlay.sprite.height/params.overlay.nbSlice.Z;
-      // Number of slices in the overlay
-      brain.overlay.nbSlice = {
-        X: typeof params.overlay.nbSlice.X !== 'undefined' ? params.overlay.nbSlice.X : brain.overlay.nbCol*brain.overlay.nbRow,
-        Y: params.overlay.nbSlice.Y,
-        Z: params.overlay.nbSlice.Z
-      };
-      // opacity
-      brain.overlay.opacity = typeof params.overlay.opacity !== 'undefined' ? params.overlay.opacity : 1;
-  };
-
-  //**************//
-  // The colormap //
-  //**************//
-  params.colorMap = typeof params.colorMap !== 'undefined' ? params.colorMap: false;
-  if (params.colorMap) {
-      // Initialize the color map
-      brain.colorMap = {};
-      // Get the sprite
-      brain.colorMap.img = document.getElementById(params.colorMap.img);
-      // Set min / max
-      brain.colorMap.min = params.colorMap.min;
-      brain.colorMap.max = params.colorMap.max;
-      // Set visibility
-      params.colorMap.hide = typeof params.colorMap.hide !== 'undefined' ? params.colorMap.hide: false;
-      // An in-memory canvas to store the colormap
-      brain.colorMap.canvas = document.createElement('canvas');
-      brain.colorMap.context = brain.colorMap.canvas.getContext('2d');
-      brain.colorMap.canvas.width  = brain.colorMap.img.width;
-      brain.colorMap.canvas.height = brain.colorMap.img.height;
-
-      // Copy the color map in an in-memory canvas
-      brain.colorMap.context.drawImage(brain.colorMap.img,
-                0,0,brain.colorMap.img.width, brain.colorMap.img.height,
-                0,0,brain.colorMap.img.width, brain.colorMap.img.height);
-  };
-
-  //*******************************************//
-  // Extract the value associated with a voxel //
-  //*******************************************//
-  brain.getValue = function(rgb,colorMap) {
-    if (!colorMap) {
-      return NaN;
-    }
-    var cv, dist, nbColor, ind, val, voxelValue;
-    nbColor = colorMap.canvas.width;
-    ind = NaN;
-    val = Infinity;
-    for (let xx=0; xx<nbColor; xx++) {
-      cv = colorMap.context.getImageData(xx,0,1,1).data;
-      dist = Math.pow(cv[0]-rgb[0],2)+Math.pow(cv[1]-rgb[1],2)+Math.pow(cv[2]-rgb[2],2);
-      if (dist<val) {
-        ind = xx;
-        val = dist;
-      }
-    }
-    voxelValue = (ind*(colorMap.max - colorMap.min)/(nbColor-1)) + colorMap.min;
-    return voxelValue;
-  };
-
-
-  //***************************************//
-  // Update voxel value                    //
-  //***************************************//
-  brain.updateValue = function() {
-    var pos={};
-    var test1=[];
-    var test2=[];
-    if (brain.overlay && !brain.nanValue) {
-      try {
-        pos.XW = Math.round((brain.numSlice.X) % brain.nbCol);
-        pos.XH = Math.round((brain.numSlice.X - pos.XW) / brain.nbCol);
-        brain.contextRead.fillStyle='#FFFFFF';
-        brain.contextRead.fillRect(0, 0, 1, 1);
-        brain.contextRead.drawImage(brain.overlay.sprite,
-                                    pos.XW*brain.nbSlice.Y+brain.numSlice.Y,
-                                    pos.XH*brain.nbSlice.Z+brain.nbSlice.Z-brain.numSlice.Z-1,
-                                    1, 1, 0, 0, 1, 1);
-        let rgb = brain.contextRead.getImageData(0,0,1,1).data;
-        test1 = ( (rgb[0] == 255) && (rgb[1]==255) && (rgb[2]==255));
-        brain.contextRead.fillStyle='#000000';
-        brain.contextRead.fillRect(0, 0, 1, 1);
-        brain.contextRead.drawImage(brain.overlay.sprite,
-                                    pos.XW*brain.nbSlice.Y+brain.numSlice.Y,
-                                    pos.XH*brain.nbSlice.Z+brain.nbSlice.Z-brain.numSlice.Z-1,
-                                    1, 1, 0, 0, 1, 1 );
-        rgb = brain.contextRead.getImageData(0,0,1,1).data;
-        test2 = ( (rgb[0] == 0) && (rgb[1]==0) && (rgb[2]==0));
-        if (test1&&test2){
-          brain.voxelValue = NaN
-        }
-        else {
-          brain.voxelValue = brain.getValue(rgb,brain.colorMap);
-        }
-      }
-      catch(err) {
-        console.warn(err.message);
-        rgb = 0;
-        brain.nanValue = true;
-        brain.voxelValue = NaN;
-      }
-    } else {
-      brain.voxelValue = NaN;
-    };
-  };
-
-
-  //***************************************//
-  // Multiply two matrices                 //
-  //***************************************//
-  // Snippet copied from https://stackoverflow.com/questions/27205018/multiply-2-matrices-in-javascript
-  brain.multiply = function (a, b) {
-    var aNumRows = a.length, aNumCols = a[0].length,
-        bNumRows = b.length, bNumCols = b[0].length,
-        m = new Array(aNumRows);  // initialize array of rows
-    for (var r = 0; r < aNumRows; ++r) {
-      m[r] = new Array(bNumCols); // initialize the current row
-      for (var c = 0; c < bNumCols; ++c) {
-        m[r][c] = 0;             // initialize the current cell
-        for (var i = 0; i < aNumCols; ++i) {
-          m[r][c] += a[r][i] * b[i][c];
-        }
-      }
-    }
-    return m;
-  }
-
-
-  //***************************************//
-  // Update slice coordinates              //
-  //***************************************//
-  brain.updateCoordinates = function() {
-    const coordVoxel = brain.multiply(brain.affine,
-                  [ [brain.numSlice.X+1] ,
-                    [brain.numSlice.Y+1] ,
-                    [brain.numSlice.Z+1] ,
-                    [1] ]);
-    brain.coordinatesSlice.X = coordVoxel[0];
-    brain.coordinatesSlice.Y = coordVoxel[1];
-    brain.coordinatesSlice.Z = coordVoxel[2];
-  };
-
-
-  //***********************//
-  // Initialize the viewer //
-  //***********************//
-  brain.init = function() {
-
-    // Update the width of the X, Y and Z slices in the canvas, based on the width of its parent
-    brain.widthCanvas.X = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.Y/(2*brain.nbSlice.X+brain.nbSlice.Y)));
-    brain.widthCanvas.Y = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.X/(2*brain.nbSlice.X+brain.nbSlice.Y)));
-    brain.widthCanvas.Z = Math.floor(brain.canvas.parentElement.clientWidth*(brain.nbSlice.X/(2*brain.nbSlice.X+brain.nbSlice.Y)));
-    brain.widthCanvas.max = Math.max(brain.widthCanvas.X,brain.widthCanvas.Y,brain.widthCanvas.Z);
-
-    // Update the height of the slices in the canvas, based on width and image ratio
-    brain.heightCanvas.X = Math.floor(brain.widthCanvas.X * brain.nbSlice.Z / brain.nbSlice.Y );
-    brain.heightCanvas.Y = Math.floor(brain.widthCanvas.Y * brain.nbSlice.Z / brain.nbSlice.X );
-    brain.heightCanvas.Z = Math.floor(brain.widthCanvas.Z * brain.nbSlice.Y / brain.nbSlice.X );
-    brain.heightCanvas.max = Math.max(brain.heightCanvas.X,brain.heightCanvas.Y,brain.heightCanvas.Z);
-
-    // Apply the width/height to the canvas, if necessary
-    if (brain.canvas.width!=(brain.widthCanvas.X+brain.widthCanvas.Y+brain.widthCanvas.Z)) {
-      brain.canvas.width = brain.widthCanvas.X+brain.widthCanvas.Y+brain.widthCanvas.Z;
-      brain.canvas.height = Math.round((1+brain.spaceFont)*(brain.heightCanvas.max));
-      brain.context = setNearestNeighbour(brain.context,brain.smooth);
-    };
-
-    // Size for fonts
-    brain.sizeFontPixels = Math.round(brain.sizeFont*(brain.heightCanvas.max));
-
-    // fonts
-    brain.context.font = brain.sizeFontPixels + "px Arial";
-
-    // Draw the Master canvas
-    brain.planes.canvasMaster.width = brain.sprite.width;
-    brain.planes.canvasMaster.height = brain.sprite.height;
-    brain.planes.contextMaster.globalAlpha = 1;
-    brain.planes.contextMaster.drawImage(brain.sprite,
-            0, 0, brain.sprite.width, brain.sprite.height,0, 0, brain.sprite.width, brain.sprite.height );
-    if (brain.overlay) {
-        // Draw the overlay on a canvas
-        brain.planes.contextMaster.globalAlpha = brain.overlay.opacity;
-        brain.planes.contextMaster.drawImage(brain.overlay.sprite,
-            0, 0, brain.overlay.sprite.width, brain.overlay.sprite.height,0,0,brain.sprite.width,brain.sprite.height);
-    };
-
-    // Draw the X canvas (sagital)
-    brain.planes.canvasX = document.createElement('canvas');
-    brain.planes.contextX = brain.planes.canvasX.getContext('2d');
-    brain.planes.canvasX.width  = brain.nbSlice.Y;
-    brain.planes.canvasX.height = brain.nbSlice.Z;
-
-    // Draw the Y canvas (coronal)
-    brain.planes.canvasY = document.createElement('canvas');
-    brain.planes.contextY = brain.planes.canvasY.getContext('2d');
-    brain.planes.canvasY.width  = brain.nbSlice.X;
-    brain.planes.canvasY.height = brain.nbSlice.Z;
-
-    // Draw the Z canvas (axial)
-    brain.planes.canvasZ = document.createElement('canvas');
-    brain.planes.contextZ = brain.planes.canvasZ.getContext('2d');
-    brain.planes.canvasZ.width = brain.nbSlice.X;
-    brain.planes.canvasZ.height = brain.nbSlice.Y;
-    brain.planes.contextZ.rotate(-Math.PI/2);
-    brain.planes.contextZ.translate(-brain.nbSlice.Y,0);
-
-    // Update value
-    brain.updateValue()
-
-    // Update coordinates
-    brain.updateCoordinates()
-
-    // Round up slice coordinates
-    brain.numSlice.X = Math.round(brain.numSlice.X)
-    brain.numSlice.Y = Math.round(brain.numSlice.Y)
-    brain.numSlice.Z = Math.round(brain.numSlice.Z)
-
-  }
-
-
-  //***************************************//
-  // Draw a particular slice in the canvas //
-  //***************************************//
-  brain.draw = function(slice,type) {
-
-    // Init variables
-    var pos={}, coord, coordWidth, offset={X:'',Y:'',Z:''};
-    offset.X = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.X/2)
-    offset.Y = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.Y/2)
-    offset.Z = Math.ceil((1-brain.sizeCrosshair)*brain.nbSlice.Z/2)
-
-    // Now draw the slice
-    switch(type) {
-      case 'X':
-        // Draw a sagital slice in memory
-        pos.XW = ((brain.numSlice.X)%brain.nbCol);
-        pos.XH = (brain.numSlice.X-pos.XW)/brain.nbCol;
-        brain.planes.contextX.drawImage(brain.planes.canvasMaster,
-                pos.XW*brain.nbSlice.Y, pos.XH*brain.nbSlice.Z, brain.nbSlice.Y, brain.nbSlice.Z,0, 0, brain.nbSlice.Y, brain.nbSlice.Z );
-
-        // Add a crosshair
-        if (brain.crosshair) {
-          brain.planes.contextX.fillStyle = brain.colorCrosshair;
-          brain.planes.contextX.fillRect( brain.numSlice.Y, offset.Z , 1 , brain.nbSlice.Z-2*offset.Z );
-          brain.planes.contextX.fillRect( offset.Y, brain.nbSlice.Z-brain.numSlice.Z-1, brain.nbSlice.Y-2*offset.Y , 1 );
-        }
-
-        // fill the slice with background color
-        brain.context.fillStyle=brain.colorBackground;
-        brain.context.fillRect(0, 0, brain.widthCanvas.X , brain.canvas.height);
-
-        // Draw on the main canvas
-        brain.context.drawImage(brain.planes.canvasX,
-                0, 0, brain.nbSlice.Y, brain.nbSlice.Z,0, (brain.heightCanvas.max-brain.heightCanvas.X)/2, brain.widthCanvas.X, brain.heightCanvas.X );
-
-        // Draw the title
-        if (brain.title) {
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(brain.title,Math.round(brain.widthCanvas.X/10),Math.round( (brain.heightCanvas.max*brain.heightColorBar) + (1/4)*(brain.sizeFontPixels)));
-        }
-
-        // Draw the value at current voxel
-        if (brain.flagValue) {
-          value = "value = "+Number.parseFloat(brain.voxelValue).toPrecision(brain.nbDecimals).replace(/0+$/,"")
-          valueWidth = brain.context.measureText(value).width;
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(value,Math.round(brain.widthCanvas.X/10),Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels)));
-        }
-
-        // Add X coordinates on the slice
-        if (brain.flagCoordinates) {
-          coord = "x = "+Math.round(brain.coordinatesSlice.X);
-          coordWidth = brain.context.measureText(coord).width;
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(coord,brain.widthCanvas.X/2-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
-        }
-      break;
-
-      case 'Y':
-        // Draw a single coronal slice at native resolution
-        brain.context.fillStyle=brain.colorBackground;
-        brain.context.fillRect(brain.widthCanvas.X, 0, brain.widthCanvas.Y, brain.canvas.height);
-        for (let xx=0; xx<brain.nbSlice.X; xx++) {
-          const posW = (xx%brain.nbCol);
-          const posH = (xx-posW)/brain.nbCol;
-          brain.planes.contextY.drawImage(brain.planes.canvasMaster,
-              posW*brain.nbSlice.Y + brain.numSlice.Y, posH*brain.nbSlice.Z, 1, brain.nbSlice.Z, xx, 0, 1, brain.nbSlice.Z );
-        }
-
-        // Add a crosshair
-        if (brain.crosshair) {
-          brain.planes.contextY.fillStyle = brain.colorCrosshair;
-          brain.planes.contextY.fillRect( brain.numSlice.X, offset.Z , 1 , brain.nbSlice.Z-2*offset.Z );
-          brain.planes.contextY.fillRect( offset.X, brain.nbSlice.Z-brain.numSlice.Z-1 , brain.nbSlice.X-2*offset.X , 1 );
-        }
-
-        // Redraw the coronal slice in the canvas at screen resolution
-        brain.context.drawImage(brain.planes.canvasY,
-          0, 0, brain.nbSlice.X, brain.nbSlice.Z, brain.widthCanvas.X, (brain.heightCanvas.max-brain.heightCanvas.Y)/2, brain.widthCanvas.Y, brain.heightCanvas.Y );
-
-        // Add colorbar
-        if ((brain.colorMap)&&(!brain.colorMap.hide)) {
-          // draw the colorMap on the coronal slice at screen resolution
-          brain.context.drawImage(brain.colorMap.img,
-                0, 0, brain.colorMap.img.width, 1, Math.round(brain.widthCanvas.X + brain.widthCanvas.Y*0.2) , Math.round(brain.heightCanvas.max * brain.heightColorBar / 2), Math.round(brain.widthCanvas.Y*0.6) , Math.round(brain.heightCanvas.max * brain.heightColorBar));
-          brain.context.fillStyle = brain.colorFont;
-          label_min = Number.parseFloat(brain.colorMap.min).toPrecision(brain.nbDecimals).replace(/0+$/,"")
-          label_max = Number.parseFloat(brain.colorMap.max).toPrecision(brain.nbDecimals).replace(/0+$/,"")
-          brain.context.fillText(label_min,brain.widthCanvas.X+(brain.widthCanvas.Y*0.2)-brain.context.measureText(label_min).width/2,Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels) ));
-          brain.context.fillText(label_max,brain.widthCanvas.X+(brain.widthCanvas.Y*0.8)-brain.context.measureText(label_max).width/2,Math.round( (brain.heightCanvas.max*brain.heightColorBar*2) + (3/4)*(brain.sizeFontPixels) ));
-        }
-
-        // Add Y coordinates on the slice
-        if (brain.flagCoordinates) {
-          brain.context.font = brain.sizeFontPixels + "px Arial";
-          brain.context.fillStyle = brain.colorFont;
-          coord = "y = "+Math.round(brain.coordinatesSlice.Y);
-          coordWidth = brain.context.measureText(coord).width;
-          brain.context.fillText(coord,brain.widthCanvas.X+(brain.widthCanvas.Y/2)-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
-        }
-
-      case 'Z':
-        // Draw a single axial slice at native resolution
-        brain.context.fillStyle=brain.colorBackground;
-        brain.context.fillRect(brain.widthCanvas.X+brain.widthCanvas.Y, 0, brain.widthCanvas.Z, brain.canvas.height);
-
-        for (let xx=0; xx<brain.nbSlice.X; xx++) {
-          const posW = (xx%brain.nbCol);
-          const posH = (xx-posW)/brain.nbCol;
-          brain.planes.contextZ.drawImage(brain.planes.canvasMaster,
-              posW*brain.nbSlice.Y , posH*brain.nbSlice.Z + brain.nbSlice.Z-brain.numSlice.Z-1, brain.nbSlice.Y, 1, 0, xx, brain.nbSlice.Y, 1 );
-        }
-
-        // Add a crosshair
-        if (brain.crosshair) {
-          brain.planes.contextZ.fillStyle = brain.colorCrosshair;
-          brain.planes.contextZ.fillRect( offset.Y,  brain.numSlice.X , brain.nbSlice.Y-2*offset.Y , 1 );
-          brain.planes.contextZ.fillRect( brain.numSlice.Y , offset.X , 1, brain.nbSlice.X-2*offset.X );
-        }
-
-        // Redraw the axial slice in the canvas at screen resolution
-        brain.context.drawImage(brain.planes.canvasZ,
-          0, 0, brain.nbSlice.X, brain.nbSlice.Y, brain.widthCanvas.X+brain.widthCanvas.Y, (brain.heightCanvas.max-brain.heightCanvas.Z)/2, brain.widthCanvas.Z, brain.heightCanvas.Z );
-
-        // Add Z coordinates on the slice
-        if (brain.flagCoordinates) {
-          coord = "z = "+Math.round(brain.coordinatesSlice.Z);
-          coordWidth = brain.context.measureText(coord).width;
-          brain.context.fillStyle = brain.colorFont;
-          brain.context.fillText(coord,brain.widthCanvas.X+brain.widthCanvas.Y+(brain.widthCanvas.Z/2)-coordWidth/2,Math.round(brain.canvas.height-(brain.sizeFontPixels/2)));
-        }
-    }
-  };
-
-  // In case of click, update brain slices
-  brain.clickBrain = function(e){
-    var rect = brain.canvas.getBoundingClientRect();
-    var xx = e.clientX - rect.left;
-    var yy = e.clientY - rect.top;
-    var sx, sy, sz;
-
-    if (xx<brain.widthCanvas.X){
-      sy = Math.round((brain.nbSlice.Y-1)*(xx/brain.widthCanvas.X));
-      sz = Math.round((brain.nbSlice.Z-1)*(((brain.heightCanvas.max+brain.heightCanvas.X)/2)-yy)/brain.heightCanvas.X);
-      brain.numSlice.Y = Math.max(Math.min(sy,brain.nbSlice.Y-1),0);
-      brain.numSlice.Z = Math.max(Math.min(sz,brain.nbSlice.Z-1),0);
-    } else if (xx<(brain.widthCanvas.X+brain.widthCanvas.Y)) {
-      xx = xx-brain.widthCanvas.X;
-      sx = Math.round((brain.nbSlice.X-1)*(xx/brain.widthCanvas.Y));
-      sz = Math.round((brain.nbSlice.Z-1)*(((brain.heightCanvas.max+brain.heightCanvas.X)/2)-yy)/brain.heightCanvas.X);
-      brain.numSlice.X = Math.max(Math.min(sx,brain.nbSlice.X-1),0);
-      brain.numSlice.Z = Math.max(Math.min(sz,brain.nbSlice.Z-1),0);
-    } else {
-      xx = xx-brain.widthCanvas.X-brain.widthCanvas.Y;
-      sx = Math.round((brain.nbSlice.X-1)*(xx/brain.widthCanvas.Z));
-      sy = Math.round((brain.nbSlice.Y-1)*(((brain.heightCanvas.max+brain.heightCanvas.Z)/2)-yy)/brain.heightCanvas.Z);
-      brain.numSlice.X = Math.max(Math.min(sx,brain.nbSlice.X-1),0);
-      brain.numSlice.Y = Math.max(Math.min(sy,brain.nbSlice.Y-1),0);
-    };
-    // Update value
-    brain.updateValue()
-
-    // Update coordinates
-    brain.updateCoordinates()
-
-    // Redraw slices
-    brain.drawAll()
-    if (brain.onclick) {
-      brain.onclick(e);
-    };
-  };
-
-  brain.drawAll = function(){
-    brain.draw(brain.numSlice.X,'X');
-    brain.draw(brain.numSlice.Y,'Y');
-    brain.draw(brain.numSlice.Z,'Z');
-  };
-
-  // Attach a listener for clicks
-  brain.canvas.addEventListener('click', brain.clickBrain, false);
-
-  // Attach a listener on mouse down
-  brain.canvas.addEventListener('mousedown', function(e) {
-    brain.canvas.addEventListener('mousemove', brain.clickBrain, false);
-  }, false);
-
-  // Detach the listener on mouse up
-  brain.canvas.addEventListener('mouseup', function(e) {
-      brain.canvas.removeEventListener('mousemove', brain.clickBrain, false);
-    }, false);
-
-  // Draw all slices when background/overlay are loaded
-  brain.sprite.addEventListener('load', function(){
-    brain.init();
-    brain.drawAll();
-  });
-  if (brain.overlay) {
-    brain.overlay.sprite.addEventListener('load', function(){
-      brain.init();
-      brain.drawAll();
-    });
-  }
-
-  // Init the viewer
-  brain.init();
-
-  // Draw all slices
-  brain.drawAll();
-
-  return brain;
-};
-
-export default brainsprite
diff --git a/dmriprepViewer/src/main.js b/dmriprepViewer/src/main.js
deleted file mode 100644
index b31b5b6f..00000000
--- a/dmriprepViewer/src/main.js
+++ /dev/null
@@ -1,15 +0,0 @@
-// The Vue build version to load with the `import` command
-// (runtime-only or standalone) has been set in webpack.base.conf with an alias.
-import Vue from 'vue';
-import App from './App';
-import router from './router';
-
-Vue.config.productionTip = false;
-
-/* eslint-disable no-new */
-new Vue({
-  el: '#app',
-  router,
-  components: { App },
-  template: '<App/>',
-});
diff --git a/dmriprepViewer/src/router/index.js b/dmriprepViewer/src/router/index.js
deleted file mode 100644
index 5ddffbe7..00000000
--- a/dmriprepViewer/src/router/index.js
+++ /dev/null
@@ -1,27 +0,0 @@
-import Vue from 'vue';
-import Router from 'vue-router';
-import HelloWorld from '@/components/HelloWorld';
-import Report from '@/components/Report';
-import Bucket from '@/components/Bucket';
-
-Vue.use(Router);
-
-export default new Router({
-  routes: [
-    {
-      path: '/',
-      name: 'HelloWorld',
-      component: HelloWorld,
-    },
-    {
-      path: '/report',
-      name: 'Report',
-      component: Report,
-    },
-    {
-      path: '/bucket/:bucket',
-      name: 'Bucket',
-      component: Bucket,
-    },
-  ],
-});
diff --git a/dmriprepViewer/static/.gitkeep b/dmriprepViewer/static/.gitkeep
deleted file mode 100644
index e69de29b..00000000
diff --git a/dmriprepViewer/test/e2e/custom-assertions/elementCount.js b/dmriprepViewer/test/e2e/custom-assertions/elementCount.js
deleted file mode 100644
index 818e6020..00000000
--- a/dmriprepViewer/test/e2e/custom-assertions/elementCount.js
+++ /dev/null
@@ -1,27 +0,0 @@
-// A custom Nightwatch assertion.
-// The assertion name is the filename.
-// Example usage:
-//
-//   browser.assert.elementCount(selector, count)
-//
-// For more information on custom assertions see:
-// http://nightwatchjs.org/guide#writing-custom-assertions
-
-exports.assertion = function (selector, count) {
-  this.message = 'Testing if element <' + selector + '> has count: ' + count
-  this.expected = count
-  this.pass = function (val) {
-    return val === this.expected
-  }
-  this.value = function (res) {
-    return res.value
-  }
-  this.command = function (cb) {
-    var self = this
-    return this.api.execute(function (selector) {
-      return document.querySelectorAll(selector).length
-    }, [selector], function (res) {
-      cb.call(self, res)
-    })
-  }
-}
diff --git a/dmriprepViewer/test/e2e/nightwatch.conf.js b/dmriprepViewer/test/e2e/nightwatch.conf.js
deleted file mode 100644
index f019c0ac..00000000
--- a/dmriprepViewer/test/e2e/nightwatch.conf.js
+++ /dev/null
@@ -1,46 +0,0 @@
-require('babel-register')
-var config = require('../../config')
-
-// http://nightwatchjs.org/gettingstarted#settings-file
-module.exports = {
-  src_folders: ['test/e2e/specs'],
-  output_folder: 'test/e2e/reports',
-  custom_assertions_path: ['test/e2e/custom-assertions'],
-
-  selenium: {
-    start_process: true,
-    server_path: require('selenium-server').path,
-    host: '127.0.0.1',
-    port: 4444,
-    cli_args: {
-      'webdriver.chrome.driver': require('chromedriver').path
-    }
-  },
-
-  test_settings: {
-    default: {
-      selenium_port: 4444,
-      selenium_host: 'localhost',
-      silent: true,
-      globals: {
-        devServerURL: 'http://localhost:' + (process.env.PORT || config.dev.port)
-      }
-    },
-
-    chrome: {
-      desiredCapabilities: {
-        browserName: 'chrome',
-        javascriptEnabled: true,
-        acceptSslCerts: true
-      }
-    },
-
-    firefox: {
-      desiredCapabilities: {
-        browserName: 'firefox',
-        javascriptEnabled: true,
-        acceptSslCerts: true
-      }
-    }
-  }
-}
diff --git a/dmriprepViewer/test/e2e/runner.js b/dmriprepViewer/test/e2e/runner.js
deleted file mode 100644
index 27220329..00000000
--- a/dmriprepViewer/test/e2e/runner.js
+++ /dev/null
@@ -1,48 +0,0 @@
-// 1. start the dev server using production config
-process.env.NODE_ENV = 'testing'
-
-const webpack = require('webpack')
-const DevServer = require('webpack-dev-server')
-
-const webpackConfig = require('../../build/webpack.prod.conf')
-const devConfigPromise = require('../../build/webpack.dev.conf')
-
-let server
-
-devConfigPromise.then(devConfig => {
-  const devServerOptions = devConfig.devServer
-  const compiler = webpack(webpackConfig)
-  server = new DevServer(compiler, devServerOptions)
-  const port = devServerOptions.port
-  const host = devServerOptions.host
-  return server.listen(port, host)
-})
-.then(() => {
-  // 2. run the nightwatch test suite against it
-  // to run in additional browsers:
-  //    1. add an entry in test/e2e/nightwatch.conf.js under "test_settings"
-  //    2. add it to the --env flag below
-  // or override the environment flag, for example: `npm run e2e -- --env chrome,firefox`
-  // For more information on Nightwatch's config file, see
-  // http://nightwatchjs.org/guide#settings-file
-  let opts = process.argv.slice(2)
-  if (opts.indexOf('--config') === -1) {
-    opts = opts.concat(['--config', 'test/e2e/nightwatch.conf.js'])
-  }
-  if (opts.indexOf('--env') === -1) {
-    opts = opts.concat(['--env', 'chrome'])
-  }
-
-  const spawn = require('cross-spawn')
-  const runner = spawn('./node_modules/.bin/nightwatch', opts, { stdio: 'inherit' })
-
-  runner.on('exit', function (code) {
-    server.close()
-    process.exit(code)
-  })
-
-  runner.on('error', function (err) {
-    server.close()
-    throw err
-  })
-})
diff --git a/dmriprepViewer/test/e2e/specs/test.js b/dmriprepViewer/test/e2e/specs/test.js
deleted file mode 100644
index ee3514ee..00000000
--- a/dmriprepViewer/test/e2e/specs/test.js
+++ /dev/null
@@ -1,19 +0,0 @@
-// For authoring Nightwatch tests, see
-// http://nightwatchjs.org/guide#usage
-
-module.exports = {
-  'default e2e tests': function test(browser) {
-    // automatically uses dev Server port from /config.index.js
-    // default: http://localhost:8080
-    // see nightwatch.conf.js
-    const devServer = browser.globals.devServerURL;
-
-    browser
-      .url(devServer)
-      .waitForElementVisible('#app', 5000)
-      .assert.elementPresent('.hello')
-      .assert.containsText('h1', 'Welcome to Your Vue.js App')
-      .assert.elementCount('img', 1)
-      .end();
-  },
-};
diff --git a/dmriprepViewer/test/unit/.eslintrc b/dmriprepViewer/test/unit/.eslintrc
deleted file mode 100644
index 4d5d98f3..00000000
--- a/dmriprepViewer/test/unit/.eslintrc
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-  "env": { 
-    "jest": true
-  },
-  "globals": { 
-  }
-}
diff --git a/dmriprepViewer/test/unit/jest.conf.js b/dmriprepViewer/test/unit/jest.conf.js
deleted file mode 100644
index 8a1977ee..00000000
--- a/dmriprepViewer/test/unit/jest.conf.js
+++ /dev/null
@@ -1,30 +0,0 @@
-const path = require('path');
-
-module.exports = {
-  rootDir: path.resolve(__dirname, '../../'),
-  moduleFileExtensions: [
-    'js',
-    'json',
-    'vue',
-  ],
-  moduleNameMapper: {
-    '^@/(.*)$': '<rootDir>/src/$1',
-  },
-  transform: {
-    '^.+\\.js$': '<rootDir>/node_modules/babel-jest',
-    '.*\\.(vue)$': '<rootDir>/node_modules/vue-jest',
-  },
-  testPathIgnorePatterns: [
-    '<rootDir>/test/e2e',
-  ],
-  snapshotSerializers: ['<rootDir>/node_modules/jest-serializer-vue'],
-  setupFiles: ['<rootDir>/test/unit/setup'],
-  mapCoverage: true,
-  coverageDirectory: '<rootDir>/test/unit/coverage',
-  collectCoverageFrom: [
-    'src/**/*.{js,vue}',
-    '!src/main.js',
-    '!src/router/index.js',
-    '!**/node_modules/**',
-  ],
-};
diff --git a/dmriprepViewer/test/unit/setup.js b/dmriprepViewer/test/unit/setup.js
deleted file mode 100644
index a9bec302..00000000
--- a/dmriprepViewer/test/unit/setup.js
+++ /dev/null
@@ -1,3 +0,0 @@
-import Vue from 'vue';
-
-Vue.config.productionTip = false;
diff --git a/dmriprepViewer/test/unit/specs/HelloWorld.spec.js b/dmriprepViewer/test/unit/specs/HelloWorld.spec.js
deleted file mode 100644
index 3348a98f..00000000
--- a/dmriprepViewer/test/unit/specs/HelloWorld.spec.js
+++ /dev/null
@@ -1,11 +0,0 @@
-import Vue from 'vue';
-import HelloWorld from '@/components/HelloWorld';
-
-describe('HelloWorld.vue', () => {
-  it('should render correct contents', () => {
-    const Constructor = Vue.extend(HelloWorld);
-    const vm = new Constructor().$mount();
-    expect(vm.$el.querySelector('.hello h1').textContent)
-      .toEqual('Welcome to Your Vue.js App');
-  });
-});
diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
index 70866b7d..fed3b464 100644
--- a/docs/dmriprep.interfaces.rst
+++ b/docs/dmriprep.interfaces.rst
@@ -12,14 +12,6 @@ dmriprep.interfaces.fmap module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.interfaces.reportlets module
--------------------------------------
-
-.. automodule:: dmriprep.interfaces.reportlets
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 
 Module contents
 ---------------
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
index 459f093d..0ebaf83b 100644
--- a/docs/dmriprep.rst
+++ b/docs/dmriprep.rst
@@ -8,7 +8,6 @@ Subpackages
 
    dmriprep.interfaces
    dmriprep.utils
-   dmriprep.viz
    dmriprep.workflows
 
 Submodules
diff --git a/docs/dmriprep.viz.rst b/docs/dmriprep.viz.rst
deleted file mode 100644
index d972ce7a..00000000
--- a/docs/dmriprep.viz.rst
+++ /dev/null
@@ -1,22 +0,0 @@
-dmriprep.viz package
-====================
-
-Submodules
-----------
-
-dmriprep.viz.utils module
--------------------------
-
-.. automodule:: dmriprep.viz.utils
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-
-Module contents
----------------
-
-.. automodule:: dmriprep.viz
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
index 015977ea..8712e710 100644
--- a/docs/dmriprep.workflows.dwi.rst
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -52,14 +52,6 @@ dmriprep.workflows.dwi.tensor module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.dwi.util module
-----------------------------------
-
-.. automodule:: dmriprep.workflows.dwi.util
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 
 Module contents
 ---------------
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index cd4eda34..de3b9695 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -4,14 +4,6 @@ dmriprep.workflows.fieldmap package
 Submodules
 ----------
 
-dmriprep.workflows.fieldmap.ants module
----------------------------------------
-
-.. automodule:: dmriprep.workflows.fieldmap.ants
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 dmriprep.workflows.fieldmap.base module
 ---------------------------------------
 
@@ -20,14 +12,6 @@ dmriprep.workflows.fieldmap.base module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.fieldmap.brainsuite module
----------------------------------------------
-
-.. automodule:: dmriprep.workflows.fieldmap.brainsuite
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 dmriprep.workflows.fieldmap.fmap module
 ---------------------------------------
 
@@ -52,14 +36,6 @@ dmriprep.workflows.fieldmap.phasediff module
    :undoc-members:
    :show-inheritance:
 
-dmriprep.workflows.fieldmap.synb0 module
-----------------------------------------
-
-.. automodule:: dmriprep.workflows.fieldmap.synb0
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 
 Module contents
 ---------------
diff --git a/docs/installation.rst b/docs/installation.rst
index 2c94a180..30a79118 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -9,7 +9,7 @@ Docker Container
 
 .. code-block:: console
 
-    $ git clone https://github.com/nipy/dmriprep
+    $ git clone https://github.com/josephmje/dmriprep
     $ cd dmriprep
     $ make docker
 
@@ -67,13 +67,13 @@ You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/nipy/dmriprep
+    $ git clone git://github.com/josephmje/dmriprep
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/nipy/dmriprep/tarball/master
+    $ curl  -OL https://github.com/josephmje/dmriprep/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -82,8 +82,8 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/nipy/dmriprep
-.. _tarball: https://github.com/nipy/dmriprep/tarball/master
+.. _Github repo: https://github.com/josephmje/dmriprep
+.. _tarball: https://github.com/josephmje/dmriprep/tarball/master
 
 External Dependencies
 ---------------------
diff --git a/docs/license.rst b/docs/license.rst
index 2c1de27b..3a7338ad 100644
--- a/docs/license.rst
+++ b/docs/license.rst
@@ -2,7 +2,7 @@ License information
 -------------------
 
 We use the 3-clause BSD license; the full license may be found in the
-`LICENSE <https://github.com/nipy/dmriprep/blob/master/LICENSE>`_ file
+`LICENSE <https://github.com/josephmje/dmriprep/blob/master/LICENSE>`_ file
 in the ``dmriprep`` distribution.
 
 All trademarks referenced herein are property of their respective holders.
diff --git a/docs/workflows.rst b/docs/workflows.rst
index 6548e0de..a8104e97 100644
--- a/docs/workflows.rst
+++ b/docs/workflows.rst
@@ -48,21 +48,23 @@ DWI preprocessing
     :graph2use: orig
     :simple_form: yes
 
+    from collections import namedtuple
+    from dmriprep.workflows.dwi import init_dwi_preproc_wf
+    BIDSLayout = namedtuple('BIDSLayout', ['root'])
     from collections import namedtuple
     from dmriprep.workflows.dwi import init_dwi_preproc_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
     wf = init_dwi_preproc_wf(
-        subjectid='dmripreptest',
+        layout=BIDSLayout('.'),
+        subject_id='dmripreptest',
         dwi_file='/madeup/path/sub-01_dwi.nii.gz',
         metadata={},
-        layout=BIDSLayout('.'),
-        ignore=[],
         b0_thresh=5,
         output_resolution=(1, 1, 1),
         bet_dwi=0.3,
         bet_mag=0.3,
-        nthreads=4,
         omp_nthreads=1,
+        ignore=[],
         synb0_dir='.'
     )
 
diff --git a/setup.cfg b/setup.cfg
index e2263a7d..e5d01c51 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,6 +1,6 @@
 [metadata]
 url = https://github.com/josephmje/dmriprep
-author = The Nipy developers
+author = TIGR Lab
 author_email = michael.joseph@camh.ca
 maintainer = Michael Joseph
 maintainer_email = michael.joseph@camh.ca
@@ -24,7 +24,7 @@ install_requires =
     dipy ~= 1.0.0
     indexed_gzip >=0.8.8
     matplotlib
-    nibabel >=2.2.1
+    nibabel >=2.4.0
     nilearn !=0.5.0, !=0.5.1
     nipype >=1.2.1
     nitime

From 0c5bf18af989cf01401a0e24be6ae6cc42196db3 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 3 Sep 2019 17:43:50 -0400
Subject: [PATCH 136/156] add Salim's updated Dockerfile

---
 Dockerfile | 285 +++++++++++++++++++++++++++++------------------------
 1 file changed, 158 insertions(+), 127 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8ad53090..3eef0126 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,38 +1,23 @@
-# Use Ubuntu 16.04 LTS
-FROM ubuntu:xenial-20190610
+FROM ubuntu:xenial-20161213
 
-# Prepare environment
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-                    curl \
-                    bzip2 \
-                    ca-certificates \
-                    xvfb \
-                    cython3 \
-                    build-essential \
-                    autoconf \
-                    libtool \
-                    pkg-config \
-                    git && \
-    curl -sL https://deb.nodesource.com/setup_10.x | bash - && \
-    apt-get install -y --no-install-recommends \
-                    nodejs && \
-    apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+# Used command:
+# neurodocker generate docker --base=debian:stretch --pkg-manager=apt
+# --ants version=latest method=source --mrtrix3 version=3.0_RC3
+# --freesurfer version=6.0.0 method=binaries --fsl version=6.0.1 method=binaries
 
-# Getting required installation tools
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
-        apt-utils \
-        locales \
-        unzip \
         bc \
+        libtool \
         tar \
         dpkg \
+        curl \
         wget \
+        unzip \
         gcc \
+        git \
         libstdc++6
 
-# Neurodocker Setup
 ARG DEBIAN_FRONTEND="noninteractive"
 
 ENV LANG="en_US.UTF-8" \
@@ -64,55 +49,73 @@ RUN export ND_ENTRYPOINT="/neurodocker/startup.sh" \
 
 ENTRYPOINT ["/neurodocker/startup.sh"]
 
-# Installing ANTS v2.3.1
-ENV ANTSPATH=/opt/ants
-RUN mkdir -p $ANTSPATH && \
-    curl -sSL https://github.com/ANTsX/ANTs/archive/v2.3.1.tar.gz
-    | tar -xzC $ANTSPATH --strip-components 1
-ENV PATH=$ANTSPATH:$PATH
-
-# Installing MRtrix3
-ENV PATH="/opt/mrtrix3-3.0_RC3/bin:$PATH"
-RUN echo "Downloading MRtrix3 ..." \
-    && mkdir -p /opt/mrtrix3-3.0_RC3 \
-    && curl -fsSL --retry 5 https://dl.dropbox.com/s/2oh339ehcxcf8xf/mrtrix3-3.0_RC3-Linux-centos6.9-x86_64.tar.gz \
-    | tar -xz -C /opt/mrtrix3-3.0_RC3 --strip-components 1
-
-# Installing Freesurfer
-ENV FREESURFER_HOME="/opt/freesurfer-6.0.0" \
-    PATH="/opt/freesurfer-6.0.0/bin:$PATH"
-RUN apt-get update -qq \
-    && apt-get install -y -q --no-install-recommends \
-           bc \
-           libgomp1 \
-           libxmu6 \
-           libxt6 \
-           perl \
-           tcsh \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* \
-    && echo "Downloading FreeSurfer ..." \
-    && mkdir -p /opt/freesurfer-6.0.0 \
-    && curl -fsSL --retry 5 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/6.0.0/freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0.tar.gz \
-    | tar -xz -C /opt/freesurfer-6.0.0 --strip-components 1 \
-         --exclude='freesurfer/average/mult-comp-cor' \
-         --exclude='freesurfer/lib/cuda' \
-         --exclude='freesurfer/lib/qt' \
-         --exclude='freesurfer/subjects/V1_average' \
-         --exclude='freesurfer/subjects/bert' \
-         --exclude='freesurfer/subjects/cvs_avg35' \
-         --exclude='freesurfer/subjects/cvs_avg35_inMNI152' \
-         --exclude='freesurfer/subjects/fsaverage3' \
-         --exclude='freesurfer/subjects/fsaverage4' \
-         --exclude='freesurfer/subjects/fsaverage5' \
-         --exclude='freesurfer/subjects/fsaverage6' \
-         --exclude='freesurfer/subjects/fsaverage_sym' \
-         --exclude='freesurfer/trctrain' \
-    && sed -i '$isource "/opt/freesurfer-6.0.0/SetUpFreeSurfer.sh"' "$ND_ENTRYPOINT"
-
-# Installing FSL
+# SETUP taken from fmriprep:latest, installs C compiler for ANTS
+# Prepare environment
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+                    curl \
+                    bzip2 \
+                    ca-certificates \
+                    xvfb \
+                    cython3 \
+                    build-essential \
+                    autoconf \
+                    libtool \
+                    pkg-config \
+                    git && \
+    curl -sL https://deb.nodesource.com/setup_10.x | bash - && \
+    apt-get install -y --no-install-recommends \
+                    nodejs && \
+    apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+
+# Install latest pandoc
+RUN curl -o pandoc-2.2.2.1-1-amd64.deb -sSL "https://github.com/jgm/pandoc/releases/download/2.2.2.1/pandoc-2.2.2.1-1-amd64.deb" && \
+    dpkg -i pandoc-2.2.2.1-1-amd64.deb && \
+    rm pandoc-2.2.2.1-1-amd64.deb
+
+# ANTS
+# from https://github.com/kaczmarj/ANTs-builds/blob/master/Dockerfile
+
+# Get CMake for ANTS
+RUN mkdir /cmake_temp
+WORKDIR /cmake_temp
+RUN wget https://cmake.org/files/v3.12/cmake-3.12.2.tar.gz \
+    && tar -xzvf cmake-3.12.2.tar.gz \
+    && echo 'done tar' \
+    && ls \
+    && cd cmake-3.12.2/ \
+    && ./bootstrap -- -DCMAKE_BUILD_TYPE:STRING=Release \
+    && make -j4 \
+    && make install \
+    && cd .. \
+    && rm -rf *
+
+RUN cmake --version
+
+RUN mkdir /ants
+RUN apt-get update && apt-get -y install zlib1g-dev
+
+RUN git clone https://github.com/ANTsX/ANTs.git --branch v2.3.1 /ants
+WORKDIR /ants
+
+RUN mkdir build \
+    && cd build \
+    && git config --global url."https://".insteadOf git:// \
+    && cmake .. \
+    && make -j1 \
+    && mkdir -p /opt/ants \
+    && mv bin/* /opt/ants && mv ../Scripts/* /opt/ants \
+    && cd .. \
+    && rm -rf build
+
+ENV ANTSPATH=/opt/ants/ \
+    PATH=/opt/ants:$PATH
+
+WORKDIR /
+
 ENV FSLDIR="/opt/fsl-6.0.1" \
-    PATH="/opt/fsl-6.0.1/bin:$PATH"
+    PATH="/opt/fsl-6.0.1/bin:$PATH" \
+    FSLOUTPUTTYPE="NIFTI_GZ"
 RUN apt-get update -qq \
     && apt-get install -y -q --no-install-recommends \
            bc \
@@ -130,61 +133,58 @@ RUN apt-get update -qq \
            libxrandr2 \
            libxrender1 \
            libxt6 \
+           python \
            wget \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/* \
     && echo "Downloading FSL ..." \
-    && mkdir -p /opt/fsl-6.0.1 \
-    && curl -fsSL --retry 5 https://fsl.fmrib.ox.ac.uk/fsldownloads/fsl-6.0.1-centos6_64.tar.gz \
-    | tar -xz -C /opt/fsl-6.0.1 --strip-components 1 \
-    && sed -i '$iecho Some packages in this Docker container are non-free' $ND_ENTRYPOINT \
-    && sed -i '$iecho If you are considering commercial use of this container, please consult the relevant license:' $ND_ENTRYPOINT \
-    && sed -i '$iecho https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Licence' $ND_ENTRYPOINT \
-    && sed -i '$isource $FSLDIR/etc/fslconf/fsl.sh' $ND_ENTRYPOINT
+    && wget -q http://fsl.fmrib.ox.ac.uk/fsldownloads/fslinstaller.py \
+    && chmod 775 fslinstaller.py
+RUN /fslinstaller.py -d /opt/fsl-6.0.1 -V 6.0.1 -q
 
-RUN curl -sL https://deb.nodesource.com/setup_10.x | bash -
-RUN apt-get install -y nodejs
-RUN npm install -g svgo
+# FSL 6.0.1
+# Freesurfer 6.0.0
+# MRtrix3
+# ANTS
+# Python 3
 
-# Installing bids-validator
-RUN npm install -g bids-validator@1.2.5
+# MRtrix3
+# from https://hub.docker.com/r/neurology/mrtrix/dockerfile
+RUN apt-get update
+RUN apt-get install -y --no-install-recommends \
+    python \
+    python-numpy \
+    libeigen3-dev \
+    clang \
+    zlib1g-dev \
+    libqt4-opengl-dev \
+    libgl1-mesa-dev \
+    git \
+    ca-certificates
+RUN mkdir /mrtrix
+RUN git clone https://github.com/MRtrix3/mrtrix3.git --branch 3.0_RC3 /mrtrix
+WORKDIR /mrtrix
+# Checkout version used in the lab: 20180128
+RUN git checkout f098f097ccbb3e5efbb8f5552f13e0997d161cce
+ENV CXX=/usr/bin/clang++
+RUN ./configure
+RUN ./build
+RUN ./set_path
+ENV PATH=/mrtrix/bin:$PATH
+
+WORKDIR /
 
-RUN echo '{ \
-    \n  "pkg_manager": "apt", \
-    \n  "instructions": [ \
-    \n    [ \
-    \n      "base", \
-    \n      "debian:stretch" \
-    \n    ], \
-    \n    [ \
-    \n      "ants", \
-    \n      { \
-    \n        "version": "latest", \
-    \n        "method": "source" \
-    \n      } \
-    \n    ], \
-    \n    [ \
-    \n      "mrtrix3", \
-    \n      { \
-    \n        "version": "3.0_RC3" \
-    \n      } \
-    \n    ], \
-    \n    [ \
-    \n      "freesurfer", \
-    \n      { \
-    \n        "version": "6.0.0", \
-    \n        "method": "binaries" \
-    \n      } \
-    \n    ], \
-    \n    [ \
-    \n      "fsl", \
-    \n      { \
-    \n        "version": "6.0.1", \
-    \n        "method": "binaries" \
-    \n      } \
-    \n    ] \
-    \n  ] \
-    \n}' > /neurodocker/neurodocker_specs.json
+# Installing and setting up miniconda
+RUN curl -sSLO https://repo.continuum.io/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh && \
+    bash Miniconda3-4.5.11-Linux-x86_64.sh -b -p /usr/local/miniconda && \
+    rm Miniconda3-4.5.11-Linux-x86_64.sh
+
+# Set CPATH for packages relying on compiled libs (e.g. indexed_gzip)
+ENV PATH="/usr/local/miniconda/bin:$PATH" \
+    CPATH="/usr/local/miniconda/include/:$CPATH" \
+    LANG="C.UTF-8" \
+    LC_ALL="C.UTF-8" \
+    PYTHONNOUSERSITE=1
 
 # add credentials on build
 RUN mkdir ~/.ssh && ln -s /run/secrets/host_ssh_key ~/.ssh/id_rsa
@@ -193,12 +193,43 @@ RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         libopenblas-base
 
-# setting up an install of dmriprep (manual version) inside the container
-ADD https://api.github.com/repos/TIGRLab/dmriprep/git/refs/heads/master version.json
-RUN git clone -b master https://github.com/TIGRLab/dmriprep.git
-#RUN mkdir dmriprep
-#COPY ./ dmriprep/
-RUN cd dmriprep && ls && python setup.py install && pip list
-RUN pip install pybids==0.9.1 && pip list
+# Precaching atlases
+ENV TEMPLATEFLOW_HOME="/opt/templateflow"
+RUN mkdir -p $TEMPLATEFLOW_HOME
+RUN pip install --no-cache-dir "templateflow>=0.3.0,<0.4.0a0" && \
+    python -c "from templateflow import api as tfapi; \
+               tfapi.get('MNI152NLin6Asym', atlas=None); \
+               tfapi.get('MNI152NLin2009cAsym', atlas=None); \
+               tfapi.get('OASIS30ANTs');" && \
+    find $TEMPLATEFLOW_HOME -type d -exec chmod go=u {} + && \
+    find $TEMPLATEFLOW_HOME -type f -exec chmod go=u {} +
+
+RUN conda install -y python=3.7.3 \
+                     pip=19.1 \
+                     libxml2=2.9.8 \
+                     libxslt=1.1.32 \
+                     graphviz=2.40.1; sync && \
+    chmod -R a+rX /usr/local/miniconda; sync && \
+    chmod +x /usr/local/miniconda/bin/*; sync && \
+    conda build purge-all; sync && \
+    conda clean -tipsy && sync
+
+
+# Setting up an install of dmripreproc (manual version) inside the container
+#ADD https://api.github.com/repos/TIGRLab/dmripreproc/git/refs/heads/master version.json
+#RUN git clone -b master https://github.com/TIGRLab/dmripreproc.git dmripreproc
+
+RUN curl -sL https://deb.nodesource.com/setup_10.x | bash -
+RUN apt-get install -y nodejs
+RUN npm install -g svgo
+
+# Installing bids-validator
+RUN npm install -g bids-validator@1.2.5
+
+RUN pip install --upgrade pip
+
+RUN mkdir dmriprep
+COPY ./ dmriprep/
+RUN cd dmriprep && python setup.py install
 
 ENTRYPOINT ["dmriprep"]

From 79a1e5c8f70eba58eead44ec8a0f12cef6c70e25 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 3 Sep 2019 17:44:43 -0400
Subject: [PATCH 137/156] finish multiproc and dwi scan grouping

---
 dmriprep/cli.py                     |  28 +--
 dmriprep/utils/bids.py              |  26 ++-
 dmriprep/workflows/base.py          | 138 +++++++-----
 dmriprep/workflows/dwi/__init__.py  |   3 +
 dmriprep/workflows/dwi/base.py      | 332 ++++++++++++++--------------
 dmriprep/workflows/dwi/util.py      | 140 ++++++++++++
 dmriprep/workflows/fieldmap/base.py | 244 ++++++++++----------
 7 files changed, 553 insertions(+), 358 deletions(-)
 create mode 100644 dmriprep/workflows/dwi/util.py

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 9b3fe80b..7e70cd8a 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -98,6 +98,14 @@
     type=click.FloatRange(min=0, max=1)
 )
 # specific options for eddy
+@click.option(
+    '--acqp_file',
+    default=None,
+    help='If you want to pass in an acqp file for topup/eddy instead of'
+    'generating it from the json by default.',
+    type=click.Path(exists=True, dir_okay=False)
+)
+# workflow configuration
 @click.option(
     '--nthreads',
     default=1,
@@ -112,14 +120,6 @@
     help='Maximum number of threads per process',
     type=int
 )
-@click.option(
-    '--acqp_file',
-    default=None,
-    help='If you want to pass in an acqp file for topup/eddy instead of'
-    'generating it from the json by default.',
-    type=click.Path(exists=True, dir_okay=False)
-)
-# workflow configuration
 @click.option(
     '--ignore',
     '-i',
@@ -141,8 +141,10 @@
 )
 @click.option(
     '--write_graph',
+    is_flag=True,
     default=False,
-    help='Write out nipype workflow graph.'
+    help='Write out nipype workflow graph.',
+    type=bool
 )
 def main(
     bids_dir,
@@ -156,9 +158,9 @@ def main(
     output_resolution,
     bet_dwi,
     bet_mag,
+    acqp_file,
     nthreads,
     omp_nthreads,
-    acqp_file,
     ignore,
     work_dir,
     synb0_dir,
@@ -183,13 +185,13 @@ def main(
         )
 
     layout = BIDSLayout(bids_dir, validate=True)
-    all_subjects, subject_list = collect_participants(
+    subject_list = collect_participants(
         layout, participant_label=participant_label
     )
 
     if not skip_bids_validation:
         from .utils.bids import validate_input_dir
-        validate_input_dir(bids_dir, all_subjects, subject_list)
+        validate_input_dir(bids_dir, subject_list)
 
     if not work_dir:
         work_dir = os.path.join(output_dir, 'scratch')
@@ -241,8 +243,8 @@ def main(
         output_resolution=output_resolution,
         bet_dwi=bet_dwi,
         bet_mag=bet_mag,
-        omp_nthreads=omp_nthreads,
         acqp_file=acqp_file,
+        omp_nthreads=omp_nthreads,
         ignore=list(ignore),
         work_dir=work_dir,
         synb0_dir=synb0_dir
diff --git a/dmriprep/utils/bids.py b/dmriprep/utils/bids.py
index 79492a59..4aecfb46 100644
--- a/dmriprep/utils/bids.py
+++ b/dmriprep/utils/bids.py
@@ -6,6 +6,7 @@
 import warnings
 import json
 import sys
+from pathlib import Path
 
 from bids.layout import BIDSLayout
 
@@ -111,7 +112,7 @@ def collect_participants(
             raise exc
         warnings.warn(exc.msg, BIDSWarning)
 
-    return all_participants, found_label
+    return found_label
 
 
 def collect_data(bids_dir, participant_label, concat_dwis, session_label=None):
@@ -142,7 +143,7 @@ def collect_data(bids_dir, participant_label, concat_dwis, session_label=None):
 
     subj_data['dwi'] = group_dwi(subj_data['dwi'], session_label, concat_dwis)
 
-    return subj_data, layout
+    return subj_data
 
 
 def group_dwi(dwi_files, session_list, concat_dwis):
@@ -158,7 +159,8 @@ def group_dwi(dwi_files, session_list, concat_dwis):
                     session_groups.append(f)
                 else:
                     all_dwis.append(f)
-            all_dwis.append(session_groups)
+            if not session_groups == []:
+                all_dwis.append(session_groups)
     else:
         session_groups = []
         for f in dwi_files:
@@ -166,12 +168,13 @@ def group_dwi(dwi_files, session_list, concat_dwis):
                 session_groups.append(f)
             else:
                 all_dwis.append(f)
-        all_dwis.append(session_groups)
+        if not session_groups == []:
+            all_dwis.append(session_groups)
 
     return all_dwis
 
 
-def validate_input_dir(bids_dir, all_subjects, subject_list):
+def validate_input_dir(bids_dir, subject_list):
     # Ignore issues and warnings that should not influence DMRIPREP
     import tempfile
     import subprocess
@@ -217,7 +220,18 @@ def validate_input_dir(bids_dir, all_subjects, subject_list):
         "ignoredFiles": ["/dataset_description.json", "/participants.tsv"],
     }
     # Limit validation only to data from requested participants
-    ignored_subjects = all_subjects.difference(subject_list)
+    if subject_list:
+        bids_dir = Path(bids_dir)
+        all_subs = set([s.name[4:] for s in bids_dir.glob('sub-*')])
+        selected_subs = set([s[4:] if s.startswith('sub-') else s
+                             for s in subject_list])
+        bad_labels = selected_subs.difference(all_subs)
+        if bad_labels:
+            error_msg = 'Data for requested participant(s) label(s) not found. Could ' \
+                        'not find data for participant(s): %s. Please verify the requested ' \
+                        'participant labels.'
+            raise RuntimeError(error_msg % ','.join(bad_labels))
+    ignored_subjects = all_subs.difference(selected_subs)
     if ignored_subjects:
         for subject in ignored_subjects:
             validator_config_dict["ignoredFiles"].append("/sub-%s/**" % subject)
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index fcb03d80..cb161845 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -28,8 +28,8 @@ def init_dmriprep_wf(
     output_resolution,
     bet_dwi,
     bet_mag,
-    omp_nthreads,
     acqp_file,
+    omp_nthreads,
     ignore,
     work_dir,
     synb0_dir
@@ -55,8 +55,8 @@ def init_dmriprep_wf(
         output_resolution=(1, 1, 1),
         bet_dwi=0.3,
         bet_mag=0.3,
-        omp_nthreads=1,
         acqp_file='',
+        omp_nthreads=1,
         ignore=[],
         work_dir='.',
         synb0_dir=''
@@ -87,13 +87,14 @@ def init_dmriprep_wf(
         acqp_file: str
             Optionally supply eddy acquisition parameters file
         ignore: list
-            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps'
+            Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps')
         work_dir: str
             Directory in which to store workflow execution state and temporary files
         synb0_dir: str
             Direction in which synb0 derivatives are saved
 
     """
+
     dmriprep_wf = pe.Workflow(name='dmriprep_wf')
     dmriprep_wf.base_dir = work_dir
 
@@ -231,28 +232,93 @@ def init_single_subject_wf(
     subject_wf = pe.Workflow(name=name)
 
     for dwi_file in subject_data['dwi']:
+        multiple_dwis = isinstance(dwi_file, list)
+
+        if multiple_dwis:
+            print(dwi_file)
+            ref_file = dwi_file[0]
+
+            from .dwi import init_dwi_concat_wf
+
+            dwi_concat_wf = init_dwi_concat_wf(ref_file, dwi_file)
+
+            concat_spec = dwi_concat_wf.get_node('inputnode')
+            concat_spec.inputs.ref_file = ref_file
+            concat_spec.inputs.dwi_list = dwi_file
+            concat_spec.inputs.bvec_list = [layout.get_bvec(bvec) for bvec in dwi_file]
+            concat_spec.inputs.bval_list = [layout.get_bval(bval) for bval in dwi_file]
+
+            metadata = layout.get_metadata(ref_file)
+
+            dwi_preproc_wf = init_dwi_preproc_wf(
+                layout=layout,
+                output_dir=output_dir,
+                subject_id=subject_id,
+                dwi_file=dwi_file,
+                metadata=metadata,
+                b0_thresh=b0_thresh,
+                output_resolution=output_resolution,
+                bet_dwi=bet_dwi,
+                bet_mag=bet_mag,
+                omp_nthreads=omp_nthreads,
+                acqp_file=acqp_file,
+                ignore=ignore,
+                synb0_dir=synb0_dir
+            )
+
+            dwi_preproc_wf.base_dir = os.path.join(
+                os.path.abspath(work_dir), subject_id
+            )
+
+            inputspec = dwi_preproc_wf.get_node('inputnode')
+            inputspec.inputs.subject_id = subject_id
+            inputspec.inputs.dwi_meta = metadata
+            inputspec.inputs.out_dir = os.path.abspath(output_dir)
+
+            subject_wf.connect([
+                (dwi_concat_wf, dwi_preproc_wf, [('outputnode.dwi_file', 'inputnode.dwi_file'),
+                                                 ('outputnode.bvec_file', 'inputnode.bvec_file'),
+                                                 ('outputnode.bval_file', 'inputnode.bval_file')])
+            ])
+
+        else:
+            ref_file = dwi_file
+
+            metadata = layout.get_metadata(ref_file)
+
+            dwi_preproc_wf = init_dwi_preproc_wf(
+                layout=layout,
+                output_dir=output_dir,
+                subject_id=subject_id,
+                dwi_file=dwi_file,
+                metadata=metadata,
+                b0_thresh=b0_thresh,
+                output_resolution=output_resolution,
+                bet_dwi=bet_dwi,
+                bet_mag=bet_mag,
+                omp_nthreads=omp_nthreads,
+                acqp_file=acqp_file,
+                ignore=ignore,
+                synb0_dir=synb0_dir
+            )
+
+            dwi_preproc_wf.base_dir = os.path.join(
+                os.path.abspath(work_dir), subject_id
+            )
+
+            inputspec = dwi_preproc_wf.get_node('inputnode')
+            inputspec.inputs.subject_id = subject_id
+            inputspec.inputs.dwi_file = dwi_file
+            inputspec.inputs.dwi_meta = metadata
+            inputspec.inputs.bvec_file = layout.get_bvec(dwi_file)
+            inputspec.inputs.bval_file = layout.get_bval(dwi_file)
+            inputspec.inputs.out_dir = os.path.abspath(output_dir)
+
         entities = layout.parse_file_entities(dwi_file)
         if 'session' in entities:
             session_id = entities['session']
         else:
             session_id = None
-        metadata = layout.get_metadata(dwi_file)
-
-        dwi_preproc_wf = init_dwi_preproc_wf(
-            layout=layout,
-            output_dir=output_dir,
-            subject_id=subject_id,
-            dwi_file=dwi_file,
-            metadata=metadata,
-            b0_thresh=b0_thresh,
-            output_resolution=output_resolution,
-            bet_dwi=bet_dwi,
-            bet_mag=bet_mag,
-            omp_nthreads=omp_nthreads,
-            acqp_file=acqp_file,
-            ignore=ignore,
-            synb0_dir=synb0_dir
-        )
 
         datasink_wf = init_dwi_derivatives_wf(
             subject_id=subject_id,
@@ -260,18 +326,6 @@ def init_single_subject_wf(
             output_folder=output_dir
         )
 
-        dwi_preproc_wf.base_dir = os.path.join(
-            os.path.abspath(work_dir), subject_id
-        )
-
-        inputspec = dwi_preproc_wf.get_node('inputnode')
-        inputspec.inputs.subject_id = subject_id
-        inputspec.inputs.dwi_file = dwi_file
-        inputspec.inputs.dwi_meta = metadata
-        inputspec.inputs.bvec_file = layout.get_bvec(dwi_file)
-        inputspec.inputs.bval_file = layout.get_bval(dwi_file)
-        inputspec.inputs.out_dir = os.path.abspath(output_dir)
-
         ds_inputspec = datasink_wf.get_node('inputnode')
         ds_inputspec.inputs.subject_id = subject_id
         ds_inputspec.inputs.session_id = session_id
@@ -312,23 +366,3 @@ def init_single_subject_wf(
         subject_wf.add_nodes([full_wf])
 
     return subject_wf
-
-
-def group_dwis(dwi_files, sessions, concat_dwis):
-
-    all_dwis = []
-
-    if sessions:
-        session_dwi_groups = []
-        for session in sessions:
-            session_dwi_files = [img for img in dwi_files if 'ses-{}'.format(session) in img]
-            for f in session_dwi_files:
-                if any(acq in f for acq in concat_dwis):
-                    session_dwi_groups.append(f)
-                else:
-                    all_dwis.append(f)
-        all_dwis.append(session_dwi_groups)
-    else:
-        all_dwis.append(f)
-
-    return all_dwis
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index ce91af11..401e8771 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -6,6 +6,7 @@
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. automodule:: dmriprep.workflows.dwi.base
+.. automodule:: dmriprep.workflows.dwi.util
 .. automodule:: dmriprep.workflows.dwi.artifacts
 .. automodule:: dmriprep.workflows.dwi.eddy
 .. automodule:: dmriprep.workflows.dwi.tensor
@@ -14,6 +15,7 @@
 """
 
 from .base import init_dwi_preproc_wf
+from .util import init_dwi_concat_wf
 from .artifacts import init_dwi_artifacts_wf
 from .eddy import init_dwi_eddy_wf
 from .tensor import init_dwi_tensor_wf
@@ -21,6 +23,7 @@
 
 __all__ = [
     'init_dwi_preproc_wf',
+    'init_dwi_concat_wf',
     'init_dwi_artifacts_wf',
     'init_dwi_eddy_wf',
     'init_dwi_tensor_wf',
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 13409d6c..4fff6c49 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -8,15 +8,15 @@
 
 """
 
-from bids import BIDSLayout
 from nipype.pipeline import engine as pe
 from nipype.interfaces import fsl, mrtrix3, utility as niu
+from numba import cuda
 
 from .artifacts import init_dwi_artifacts_wf
 from .tensor import init_dwi_tensor_wf
 from ..fieldmap.base import init_sdc_prep_wf
 
-FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
+FMAP_PRIORITY = {'epi': 0, 'fieldmap': 1, 'phasediff': 2, 'phase': 3, 'syn': 4}
 
 
 def init_dwi_preproc_wf(
@@ -62,32 +62,26 @@ def init_dwi_preproc_wf(
 
     """
 
-    multiple_dwis = isinstance(dwi_file, list)
-
-    if multiple_dwis:
-        ref_file = dwi_file[0]
-    else:
-        ref_file = dwi_file
-
-    wf_name = _get_wf_name(ref_file)
+    wf_name = _get_wf_name(dwi_file)
 
     dwi_wf = pe.Workflow(name=wf_name)
 
-    # If use_synb0 set, get synb0 from files
-    if synb0_dir:
-        synb0_layout = BIDSLayout(
-            synb0_dir, validate=False, derivatives=True
-        )
-        synb0 = synb0_layout.get(subject=subject_id, return_type="file")[0]
-    else:
-        # Find fieldmaps. Options: (epi|fieldmap|phasediff|phase1|phase2|syn)
-        fmaps = []
-        if "fieldmaps" not in ignore:
-            for fmap in layout.get_fieldmap(ref_file, return_list=True):
-                fmap["metadata"] = layout.get_metadata(
-                    fmap[fmap["suffix"]]
-                )
-                fmaps.append(fmap)
+    # # If use_synb0 set, get synb0 from files
+    # synb0 = ''
+    # if synb0_dir:
+    #     synb0_layout = BIDSLayout(
+    #         synb0_dir, validate=False, derivatives=True
+    #     )
+    #     synb0 = synb0_layout.get(subject=subject_id, return_type='file')[0]
+    # else:
+    # Find fieldmaps. Options: (epi|fieldmap|phasediff|phase1|phase2|syn)
+    fmaps = []
+    if 'fieldmaps' not in ignore:
+        for fmap in layout.get_fieldmap(dwi_file, return_list=True):
+            fmap['metadata'] = layout.get_metadata(
+                fmap[fmap['suffix']]
+            )
+            fmaps.append(fmap)
 
     sdc_wf = init_sdc_prep_wf(
         subject_id,
@@ -95,43 +89,43 @@ def init_dwi_preproc_wf(
         metadata,
         layout,
         bet_mag,
-        synb0,
+        # synb0,
     )
 
     inputnode = pe.Node(
         niu.IdentityInterface(
             fields=[
-                "subject_id",
-                "dwi_file",
-                "dwi_meta",
-                "bvec_file",
-                "bval_file",
-                "out_dir",
+                'subject_id',
+                'dwi_file',
+                'dwi_meta',
+                'bvec_file',
+                'bval_file',
+                'out_dir',
             ]
         ),
-        name="inputnode",
+        name='inputnode',
     )
 
     outputnode = pe.Node(
         niu.IdentityInterface(
             fields=[
-                "out_dwi",
-                "out_bval",
-                "out_bvec",
-                "index",
-                "acq_params",
-                "out_mask",
-                "out_b0_pre",
-                "out_b0_mask_pre",
-                "out_eddy_quad_json",
-                "out_eddy_quad_pdf",
-                "out_dtifit_FA",
-                "out_dtifit_V1",
-                "out_dtifit_sse",
-                "out_noise",
+                'out_dwi',
+                'out_bval',
+                'out_bvec',
+                'index',
+                'acq_params',
+                'out_mask',
+                'out_b0_pre',
+                'out_b0_mask_pre',
+                'out_eddy_quad_json',
+                'out_eddy_quad_pdf',
+                'out_dtifit_FA',
+                'out_dtifit_V1',
+                'out_dtifit_sse',
+                'out_noise',
             ]
         ),
-        name="outputnode",
+        name='outputnode',
     )
 
     def gen_index(in_file):
@@ -158,19 +152,19 @@ def gen_index(in_file):
         from nipype.utils.filemanip import fname_presuffix
 
         out_file = fname_presuffix(
-            in_file, suffix="_index.txt", newpath=os.path.abspath("."), use_ext=False
+            in_file, suffix='_index.txt', newpath=os.path.abspath('.'), use_ext=False
         )
         vols = nib.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
         index_lines = np.ones((vols,))
         index_lines_reshape = index_lines.reshape(1, index_lines.shape[0])
-        np.savetxt(out_file, index_lines_reshape, fmt="%i")
+        np.savetxt(out_file, index_lines_reshape, fmt='%i')
         return out_file
 
     gen_idx = pe.Node(
         niu.Function(
-            input_names=["in_file"], output_names=["out_file"], function=gen_index
+            input_names=['in_file'], output_names=['out_file'], function=gen_index
         ),
-        name="gen_index",
+        name='gen_index',
     )
 
     def gen_acqparams(in_file, metadata):
@@ -196,42 +190,42 @@ def gen_acqparams(in_file, metadata):
 
         out_file = fname_presuffix(
             in_file,
-            suffix="_acqparams.txt",
-            newpath=os.path.abspath("."),
+            suffix='_acqparams.txt',
+            newpath=os.path.abspath('.'),
             use_ext=False,
         )
 
         acq_param_dict = {
-            "j": "0 1 0 %.7f",
-            "j-": "0 -1 0 %.7f",
-            "i": "1 0 0 %.7f",
-            "i-": "-1 0 0 %.7f",
-            "k": "0 0 1 %.7f",
-            "k-": "0 0 -1 %.7f",
+            'j': '0 1 0 %.7f',
+            'j-': '0 -1 0 %.7f',
+            'i': '1 0 0 %.7f',
+            'i-': '-1 0 0 %.7f',
+            'k': '0 0 1 %.7f',
+            'k-': '0 0 -1 %.7f',
         }
 
-        pe_dir = metadata.get("PhaseEncodingDirection")
-        total_readout = metadata.get("TotalReadoutTime")
+        pe_dir = metadata.get('PhaseEncodingDirection')
+        total_readout = metadata.get('TotalReadoutTime')
         acq_param_lines = acq_param_dict[pe_dir] % total_readout
 
-        with open(out_file, "w") as f:
+        with open(out_file, 'w') as f:
             f.write(acq_param_lines)
 
         return out_file
 
     acqp = pe.Node(
         niu.Function(
-            input_names=["in_file", "metadata"],
-            output_names=["out_file"],
+            input_names=['in_file', 'metadata'],
+            output_names=['out_file'],
             function=gen_acqparams,
         ),
-        name="acqp",
+        name='acqp',
     )
 
     dwi_wf.connect(
         [
-            (inputnode, gen_idx, [("dwi_file", "in_file")]),
-            (inputnode, acqp, [("dwi_file", "in_file"), ("dwi_meta", "metadata")]),
+            (inputnode, gen_idx, [('dwi_file', 'in_file')]),
+            (inputnode, acqp, [('dwi_file', 'in_file'), ('dwi_meta', 'metadata')]),
         ]
     )
 
@@ -253,7 +247,7 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
 
         if out_file is None:
             out_file = fname_presuffix(
-                in_dwi, suffix="_avg_b0", newpath=os.path.abspath(".")
+                in_dwi, suffix='_avg_b0', newpath=os.path.abspath('.')
             )
 
         imgs = np.array(nib.four_to_three(nib.load(in_dwi, mmap=NUMPY_MMAP)))
@@ -265,43 +259,54 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
 
         hdr = imgs[0].header.copy()
         hdr.set_data_shape(b0.shape)
-        hdr.set_xyzt_units("mm")
+        hdr.set_xyzt_units('mm')
         hdr.set_data_dtype(np.float32)
         nib.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
         return out_file
 
     avg_b0_0 = pe.Node(
         niu.Function(
-            input_names=["in_dwi", "in_bval", "b0_thresh"],
-            output_names=["out_file"],
+            input_names=['in_dwi', 'in_bval', 'b0_thresh'],
+            output_names=['out_file'],
             function=b0_average,
         ),
-        name="b0_avg_pre",
+        name='b0_avg_pre',
     )
 
     avg_b0_0.inputs.b0_thresh = b0_thresh
 
     bet_dwi0 = pe.Node(
-        fsl.BET(frac=bet_dwi, mask=True, robust=True), name="bet_dwi_pre"
+        fsl.BET(frac=bet_dwi, mask=True, robust=True), name='bet_dwi_pre'
+    )
+
+    ecc = pe.Node(
+        fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
+        name='fsl_eddy',
     )
+    try:
+        if cuda.gpus:
+            ecc.inputs.use_cuda = True
+    except:
+        ecc.inputs.use_cuda = False
 
     dwi_wf.connect(
         [
-            (inputnode, dwi_artifacts_wf, [("dwi_file", "inputnode.dwi_file")]),
-            (dwi_artifacts_wf, avg_b0_0, [("outputnode.out_file", "in_dwi")])
+            (inputnode, dwi_artifacts_wf, [('dwi_file', 'inputnode.dwi_file')]),
+            (dwi_artifacts_wf, avg_b0_0, [('outputnode.out_file', 'in_dwi')]),
+            (dwi_artifacts_wf, ecc, [('outputnode.out_file', 'in_file')])
         ]
     )
 
-    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name="denoise_eddy")
+    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name='denoise_eddy')
 
-    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name="eddy_quad")
+    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name='eddy_quad')
 
-    get_path = lambda x: x.split(".nii.gz")[0].split("_fix")[0]
-    get_qc_path = lambda x: x.split(".nii.gz")[0] + ".qc"
+    get_path = lambda x: x.split('.nii.gz')[0].split('_fix')[0]
+    get_qc_path = lambda x: x.split('.nii.gz')[0] + '.qc'
 
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name='fslroi')
 
-    bias_correct = pe.Node(mrtrix3.DWIBiasCorrect(use_ants=True), name="bias_correct")
+    bias_correct = pe.Node(mrtrix3.DWIBiasCorrect(use_ants=True), name='bias_correct')
 
     def get_b0_mask_fn(b0_file):
         import os
@@ -310,7 +315,7 @@ def get_b0_mask_fn(b0_file):
         from dipy.segment.mask import median_otsu
 
         mask_file = fname_presuffix(
-            b0_file, suffix="_mask", newpath=os.path.abspath(".")
+            b0_file, suffix='_mask', newpath=os.path.abspath('.')
         )
         img = nib.load(b0_file)
         data, aff = img.get_data(), img.affine
@@ -320,41 +325,42 @@ def get_b0_mask_fn(b0_file):
 
     b0mask_node = pe.Node(
         niu.Function(
-            input_names=["b0_file"], output_names=["mask_file"], function=get_b0_mask_fn
+            input_names=['b0_file'], output_names=['mask_file'], function=get_b0_mask_fn
         ),
-        name="getB0Mask",
+        name='getB0Mask',
     )
 
     dwi_wf.connect(
         [
-            (inputnode, avg_b0_0, [("bval_file", "in_bval")]),
-            (avg_b0_0, bet_dwi0, [("out_file", "in_file")]),
-            (inputnode, ecc, [("bval_file", "in_bval"), ("bvec_file", "in_bvec")]),
-            (bet_dwi0, ecc, [("mask_file", "in_mask")]),
-            (gen_idx, ecc, [("out_file", "in_index")]),
-            (acqp, ecc, [("out_file", "in_acqp")]),
-            (ecc, denoise_eddy, [("out_corrected", "in_file")]),
+            (inputnode, avg_b0_0, [('bval_file', 'in_bval')]),
+            (avg_b0_0, bet_dwi0, [('out_file', 'in_file')]),
+            (inputnode, ecc, [('bval_file', 'in_bval'),
+                              ('bvec_file', 'in_bvec')]),
+            (bet_dwi0, ecc, [('mask_file', 'in_mask')]),
+            (gen_idx, ecc, [('out_file', 'in_index')]),
+            (acqp, ecc, [('out_file', 'in_acqp')]),
+            (ecc, denoise_eddy, [('out_corrected', 'in_file')]),
             (
                 ecc,
                 bias_correct,
-                [("out_corrected", "in_file"), ("out_rotated_bvecs", "in_bvec")],
+                [('out_corrected', 'in_file'), ('out_rotated_bvecs', 'in_bvec')],
             ),
-            (inputnode, bias_correct, [("bval_file", "in_bval")]),
-            (bias_correct, fslroi, [("out_file", "in_file")]),
-            (fslroi, b0mask_node, [("roi_file", "b0_file")]),
+            (inputnode, bias_correct, [('bval_file', 'in_bval')]),
+            (bias_correct, fslroi, [('out_file', 'in_file')]),
+            (fslroi, b0mask_node, [('roi_file', 'b0_file')]),
             (
                 ecc,
                 eddy_quad,
                 [
-                    (("out_corrected", get_path), "base_name"),
-                    (("out_corrected", get_qc_path), "output_dir"),
-                    ("out_rotated_bvecs", "bvec_file"),
+                    (('out_corrected', get_path), 'base_name'),
+                    (('out_corrected', get_qc_path), 'output_dir'),
+                    ('out_rotated_bvecs', 'bvec_file'),
                 ],
             ),
-            (inputnode, eddy_quad, [("bval_file", "bval_file")]),
-            (b0mask_node, eddy_quad, [("mask_file", "mask_file")]),
-            (gen_idx, eddy_quad, [("out_file", "idx_file")]),
-            (acqp, eddy_quad, [("out_file", "param_file")]),
+            (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
+            (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
+            (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
+            (acqp, eddy_quad, [('out_file', 'param_file')]),
         ]
     )
 
@@ -362,14 +368,14 @@ def get_b0_mask_fn(b0_file):
 
     dwi_wf.connect(
         [
-            (inputnode, tensor_wf, [("bval_file", "inputnode.bval_file")]),
-            (b0mask_node, tensor_wf, [("mask_file", "inputnode.mask_file")]),
+            (inputnode, tensor_wf, [('bval_file', 'inputnode.bval_file')]),
+            (b0mask_node, tensor_wf, [('mask_file', 'inputnode.mask_file')]),
             (
                 ecc,
                 tensor_wf,
                 [
-                    ("out_corrected", "inputnode.dwi_file"),
-                    ("out_rotated_bvecs", "inputnode.bvec_file"),
+                    ('out_corrected', 'inputnode.dwi_file'),
+                    ('out_rotated_bvecs', 'inputnode.bvec_file'),
                 ],
             ),
         ]
@@ -383,81 +389,77 @@ def get_b0_mask_fn(b0_file):
     #                 sdc_wf,
     #                 ecc,
     #                 [
-    #                     ("outputnode.out_topup", "in_topup_fieldcoef"),
-    #                     ("outputnode.out_movpar", "in_topup_movpar"),
+    #                     ('outputnode.out_topup', 'in_topup_fieldcoef'),
+    #                     ('outputnode.out_movpar', 'in_topup_movpar'),
     #                 ],
     #             ),
     #             (
     #                 sdc_wf,
     #                 eddy_quad,
-    #                 [("outputnode.out_enc_file", "param_file")],
+    #                 [('outputnode.out_enc_file', 'param_file')],
     #             ),
     #         ]
     #     )
     #     ecc.inputs.in_acqp = acqp_file
     # else:
-    #     # Decide what ecc will take: topup or fmap
-    #     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
-    #     fmap = fmaps[0]
-    #     # Else If epi files detected
-    #     if fmap["suffix"] == "epi":
-    #         dwi_wf.connect(
-    #             [
-    #                 (
-    #                     sdc_wf,
-    #                     ecc,
-    #                     [
-    #                         ("outputnode.out_topup", "in_topup_fieldcoef"),
-    #                         ("outputnode.out_enc_file", "in_acqp"),
-    #                         ("outputnode.out_movpar", "in_topup_movpar"),
-    #                     ],
-    #                 ),
-    #                 (
-    #                     sdc_wf,
-    #                     eddy_quad,
-    #                     [("outputnode.out_enc_file", "param_file")],
-    #                 ),
-    #             ]
-    #         )
-    #     # Otherwise (fieldmaps)
-    #     else:
-    #         dwi_wf.connect(
-    #             [
-    #                 (
-    #                     sdc_wf,
-    #                     ecc,
-    #                     [(("outputnode.out_fmap", get_path), "field")],
-    #                 ),
-    #                 (acqp, ecc, [("out_file", "in_acqp")]),
-    #                 (acqp, eddy_quad, [("out_file", "param_file")]),
-    #             ]
-    #         )
+    # Decide what ecc will take: topup or fmap
+    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
+    fmap = fmaps[0]
+    # Else If epi files detected
+    if fmap['suffix'] == 'epi':
+        dwi_wf.connect(
+            [
+                (
+                    sdc_wf,
+                    ecc,
+                    [
+                        ('outputnode.out_topup', 'in_topup_fieldcoef'),
+                        #('outputnode.out_enc_file', 'in_acqp'),
+                        ('outputnode.out_movpar', 'in_topup_movpar'),
+                    ],
+                ),
+                # (
+                #     sdc_wf,
+                #     eddy_quad,
+                #     [('outputnode.out_enc_file', 'param_file')],
+                # ),
+            ]
+        )
+    # Otherwise (fieldmaps)
+    else:
+        dwi_wf.connect([
+            (bet_dwi0, sdc_wf, [('out_file', 'inputnode.b0_stripped')]),
+            (sdc_wf, ecc, [('outputnode.out_fmap', 'field')]),
+                #(acqp, ecc, [('out_file', 'in_acqp')]),
+                # (acqp, eddy_quad, [('out_file', 'param_file')]),
+            ]
+        )
 
     dwi_wf.connect(
         [
-            (ecc, outputnode, [("out_corrected", "out_dwi")]),
-            (inputnode, outputnode, [("bval_file", "out_bval")]),
-            (ecc, outputnode, [("out_rotated_bvecs", "out_bvec")]),
-            (gen_idx, outputnode, [("out_file", "index")]),
-            (acqp, outputnode, [("out_file", "acq_params")]),
-            (b0mask_node, outputnode, [("mask_file", "out_mask")]),
-            (avg_b0_0, outputnode, [("out_file", "out_b0_pre")]),
-            (bet_dwi0, outputnode, [("mask_file", "out_b0_mask_pre")]),
+            (ecc, outputnode, [('out_corrected', 'out_dwi')]),
+            (inputnode, outputnode, [('bval_file', 'out_bval')]),
+            (ecc, outputnode, [('out_rotated_bvecs', 'out_bvec')]),
+            (gen_idx, outputnode, [('out_file', 'index')]),
+            (acqp, outputnode, [('out_file', 'acq_params')]),
+            (b0mask_node, outputnode, [('mask_file', 'out_mask')]),
+            (avg_b0_0, outputnode, [('out_file', 'out_b0_pre')]),
+            (bet_dwi0, outputnode, [('mask_file', 'out_b0_mask_pre')]),
             (
                 eddy_quad,
                 outputnode,
-                [("qc_json", "out_eddy_quad_json"), ("qc_pdf", "out_eddy_quad_pdf")],
+                [('qc_json', 'out_eddy_quad_json'), ('qc_pdf', 'out_eddy_quad_pdf')],
             ),
             (
                 tensor_wf,
                 outputnode,
                 [
-                    ("outputnode.FA_file", "out_dtifit_FA"),
-                    ("outputnode.MD_file", "out_dtifit_MD"),
-                    ("outputnode.AD_file", "out_dtifit_AD"),
-                    ("outputnode.RD_file", "out_dtifit_RD"),
-                    ("outputnode.V1_file", "out_dtifit_V1"),
-                    ("outputnode.sse_file", "out_dtifit_sse"),
+                    ('outputnode.FA_file', 'out_dtifit_FA'),
+                    ('outputnode.MD_file', 'out_dtifit_MD'),
+                    ('outputnode.AD_file', 'out_dtifit_AD'),
+                    ('outputnode.RD_file', 'out_dtifit_RD'),
+                    ('outputnode.V1_file', 'out_dtifit_V1'),
+                    ('outputnode.sse_file', 'out_dtifit_sse'),
                 ],
             ),
         ]
@@ -474,9 +476,9 @@ def _get_wf_name(dwi_fname):
     from nipype.utils.filemanip import split_filename
 
     fname = split_filename(dwi_fname)[1]
-    fname_nosub = "_".join(fname.split("_")[1:])
-    name = "dwi_preproc_" + fname_nosub.replace(".", "_").replace(" ", "").replace(
-        "-", "_"
-    ).replace("_dwi", "_wf")
+    fname_nosub = '_'.join(fname.split('_')[1:])
+    name = 'dwi_preproc_' + fname_nosub.replace('.', '_').replace(' ', '').replace(
+        '-', '_'
+    ).replace('_dwi', '_wf')
 
     return name
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
new file mode 100644
index 00000000..fd1bd49d
--- /dev/null
+++ b/dmriprep/workflows/dwi/util.py
@@ -0,0 +1,140 @@
+# -*- coding: utf-8 -*-
+
+"""
+Utility workflows
+^^^^^^^^^^^^^^^^^
+"""
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import utility as niu
+
+
+def init_dwi_concat_wf(ref_file):
+    """
+
+    """
+
+    wf = pe.Workflow(name='dwi_concat_wf')
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=['ref_file',
+                                                      'dwi_list',
+                                                      'bvec_list',
+                                                      'bval_list']),
+                       name='inputnode')
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=['dwi_file',
+                                                       'bvec_file',
+                                                       'bval_file']),
+                         name='outputnode')
+
+    def concat_dwis(ref_file, dwi_list):
+        import os
+        import numpy as np
+        from nipype.utils.filemanip import fname_presuffix
+        import nibabel as nib
+        from nilearn.image import concat_imgs
+
+        out_file = fname_presuffix(
+            ref_file,
+            newpath=os.path.abspath('.')
+        )
+
+        dwi_data = [nib.load(dwi) for dwi in dwi_list]
+
+        new_nii = concat_imgs(dwi_data)
+
+        hdr = dwi_data[0].header.copy()
+        hdr.set_data_shape(new_nii.shape)
+        hdr.set_xyzt_units('mm')
+        hdr.set_data_dtype(np.float32)
+        nib.Nifti1Image(new_nii.get_data(), dwi_data[0].affine, hdr).to_filename(out_file)
+        return out_file
+
+    concat_dwis = pe.Node(
+        niu.Function(
+            input_names=['ref_file', 'dwi_list'],
+            output_names=['out_file'],
+            function=concat_dwis
+        ),
+        name='concat_dwis')
+
+    def concat_bvecs(ref_file, bvec_list):
+        """
+
+        """
+
+        import os
+        import numpy as np
+        from nipype.utils.filemanip import fname_presuffix
+
+        out_file = fname_presuffix(
+            ref_file,
+            suffix='.bvec',
+            newpath=os.path.abspath('.'),
+            use_ext=False
+        )
+
+        bvec_vals = []
+        for bvec in bvec_list:
+            bvec_vals.append(np.genfromtxt(bvec))
+        np.savetxt(out_file,
+                   np.concatenate((bvec_vals), axis=1),
+                   fmt='%.4f',
+                   delimiter=' ')
+        return out_file
+
+    concat_bvecs = pe.Node(
+        niu.Function(
+            input_names=['ref_file', 'bvec_list'],
+            output_names=['out_file'],
+            function=concat_bvecs
+        ),
+        name='concat_bvecs')
+
+    def concat_bvals(ref_file, bval_list):
+        """
+
+        """
+
+        import os
+        import numpy as np
+        from nipype.utils.filemanip import fname_presuffix
+
+        out_file = fname_presuffix(
+            ref_file,
+            suffix='.bval',
+            newpath=os.path.abspath('.'),
+            use_ext=False
+        )
+
+        bval_vals = []
+        for bval in bval_list:
+            bval_vals.append(np.genfromtxt(bval))
+        np.savetxt(out_file,
+                   np.concatenate((bval_vals), axis=0),
+                   fmt='%i',
+                   delimiter=' ',
+                   newline=' ')
+        return out_file
+
+    concat_bvals = pe.Node(
+        niu.Function(
+            input_names=['ref_file', 'bval_list'],
+            output_names=['out_file'],
+            function=concat_bvals
+        ),
+        name='concat_bvals')
+
+    wf.connect([
+        (inputnode, concat_dwis, [('ref_file', 'ref_file'),
+                                  ('dwi_list', 'dwi_list')]),
+        (inputnode, concat_bvecs, [('ref_file', 'ref_file'),
+                                   ('bvec_list', 'bvec_list')]),
+        (inputnode, concat_bvals, [('ref_file', 'ref_file'),
+                                   ('bval_list', 'bval_list')]),
+        (concat_dwis, outputnode, [('merged_file', 'dwi_file')]),
+        (concat_bvecs, outputnode, [('out_file', 'bvec_file')]),
+        (concat_bvals, outputnode, [('out_file', 'bval_file')])
+    ])
+
+    return wf
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 3776612a..bbb9eb79 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -12,7 +12,7 @@ def init_sdc_prep_wf(
     metadata,
     layout,
     bet_mag_frac,
-    synb0,
+    #synb0,
     omp_nthreads=1,
     fmap_bspline=False,
 ):
@@ -40,20 +40,54 @@ def init_sdc_prep_wf(
         ),
         name="outputnode",
     )
-    if synb0:
-        from .pepolar import init_synb0_wf
-
-        synb0_wf = init_synb0_wf(subject_id, metadata, synb0)
+    # if synb0:
+    #     from .pepolar import init_synb0_wf
+    #
+    #     synb0_wf = init_synb0_wf(subject_id, metadata, synb0)
+    #
+    #     sdc_prep_wf.connect(
+    #         [
+    #             (
+    #                 inputnode,
+    #                 synb0_wf,
+    #                 [("b0_stripped", "inputnode.b0_stripped")],
+    #             ),
+    #             (
+    #                 synb0_wf,
+    #                 outputnode,
+    #                 [
+    #                     ("outputnode.out_topup", "out_topup"),
+    #                     ("outputnode.out_movpar", "out_movpar"),
+    #                     ("outputnode.out_enc_file", "out_enc_file"),
+    #                     ("outputnode.out_fmap", "out_fmap"),
+    #                 ],
+    #             ),
+    #         ]
+    #     )
+    # else:
+    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+    fmap = fmaps[0]
+
+    if fmap["suffix"] == "epi":
+        from .pepolar import init_pepolar_wf
+
+        epi_fmaps = [
+            (fmap_["epi"], fmap_["metadata"]["PhaseEncodingDirection"])
+            for fmap_ in fmaps
+            if fmap_["suffix"] == "epi"
+        ]
+
+        pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
 
         sdc_prep_wf.connect(
             [
                 (
                     inputnode,
-                    synb0_wf,
+                    pepolar_wf,
                     [("b0_stripped", "inputnode.b0_stripped")],
                 ),
                 (
-                    synb0_wf,
+                    pepolar_wf,
                     outputnode,
                     [
                         ("outputnode.out_topup", "out_topup"),
@@ -64,150 +98,116 @@ def init_sdc_prep_wf(
                 ),
             ]
         )
-    else:
-        fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
-        fmap = fmaps[0]
 
-        if fmap["suffix"] == "epi":
-            from .pepolar import init_pepolar_wf
+    elif fmap["suffix"] == "fieldmap":
+        from .fmap import init_fmap_wf
+
+        fmap_wf = init_fmap_wf()
+        fmap_wf.inputs.inputnode.fieldmap = fmap["fieldmap"]
+        fmap_wf.inputs.inputnode.magnitude = fmap["magnitude"]
 
-            epi_fmaps = [
-                (fmap_["epi"], fmap_["metadata"]["PhaseEncodingDirection"])
-                for fmap_ in fmaps
-                if fmap_["suffix"] == "epi"
+        sdc_prep_wf.connect(
+            [
+                (
+                    inputnode,
+                    fmap_wf,
+                    [("b0_stripped", "inputnode.b0_stripped")],
+                ),
+                (
+                    fmap_wf,
+                    outputnode,
+                    [("outputnode.out_fmap", "out_fmap")],
+                ),
             ]
+        )
+
+    elif fmap["suffix"] in ("phasediff", "phase"):
+        from .phasediff import init_phase_wf, init_phdiff_wf
+        from .fmap import init_fmap_wf
+
+        if fmap["suffix"] == "phasediff":
+            phase_wf = init_phdiff_wf(bet_mag_frac)
+            phase_wf.inputs.inputnode.phasediff = fmap["phasediff"]
+
+            phase_wf.inputs.inputnode.magnitude1 = [
+                fmap_
+                for key, fmap_ in sorted(fmap.items())
+                if key.startswith("magnitude1")
+            ][0]
 
-            pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
+            phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(
+                phase_wf.inputs.inputnode.phasediff
+            )
+            post_phase_wf = init_fmap_wf()
 
             sdc_prep_wf.connect(
                 [
                     (
                         inputnode,
-                        pepolar_wf,
+                        post_phase_wf,
                         [("b0_stripped", "inputnode.b0_stripped")],
                     ),
                     (
-                        pepolar_wf,
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_fmap", "inputnode.fieldmap")],
+                    ),
+                    (
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_mag", "inputnode.magnitude")],
+                    ),
+                    (
+                        post_phase_wf,
                         outputnode,
-                        [
-                            ("outputnode.out_topup", "out_topup"),
-                            ("outputnode.out_movpar", "out_movpar"),
-                            ("outputnode.out_enc_file", "out_enc_file"),
-                            ("outputnode.out_fmap", "out_fmap"),
-                        ],
+                        [("outputnode.out_fmap", "out_fmap")],
                     ),
                 ]
             )
 
-        elif fmap["suffix"] == "fieldmap":
-            from .fmap import init_fmap_wf
+        elif fmap["suffix"] == "phase":
+            phase_wf = init_phase_wf(bet_mag_frac)
+            phase_wf.inputs.inputnode.phasediff = [
+                fmap["phase1"],
+                fmap["phase2"],
+            ]
+
+            phase_wf.inputs.inputnode.magnitude1 = [
+                fmap_
+                for key, fmap_ in sorted(fmap.items())
+                if key.startswith("magnitude1")
+            ][0]
 
-            fmap_wf = init_fmap_wf()
-            fmap_wf.inputs.inputnode.fieldmap = fmap["fieldmap"]
-            fmap_wf.inputs.inputnode.magnitude = fmap["magnitude"]
+            phase_wf.inputs.inputnode.phases_meta = [
+                layout.get_metadata(i)
+                for i in phase_wf.inputs.inputnode.phasediff
+            ]
+            post_phase_wf = init_fmap_wf()
 
             sdc_prep_wf.connect(
                 [
                     (
                         inputnode,
-                        fmap_wf,
+                        post_phase_wf,
                         [("b0_stripped", "inputnode.b0_stripped")],
                     ),
                     (
-                        fmap_wf,
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_fmap", "inputnode.fieldmap")],
+                    ),
+                    (
+                        phase_wf,
+                        post_phase_wf,
+                        [("outputnode.out_mag", "inputnode.magnitude")],
+                    ),
+                    (
+                        post_phase_wf,
                         outputnode,
                         [("outputnode.out_fmap", "out_fmap")],
                     ),
                 ]
             )
-
-        elif fmap["suffix"] in ("phasediff", "phase"):
-            from .phasediff import init_phase_wf, init_phdiff_wf
-            from .fmap import init_fmap_wf
-
-            if fmap["suffix"] == "phasediff":
-                phase_wf = init_phdiff_wf(bet_mag_frac)
-                phase_wf.inputs.inputnode.phasediff = fmap["phasediff"]
-
-                phase_wf.inputs.inputnode.magnitude1 = [
-                    fmap_
-                    for key, fmap_ in sorted(fmap.items())
-                    if key.startswith("magnitude1")
-                ][0]
-
-                phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(
-                    phase_wf.inputs.inputnode.phasediff
-                )
-                post_phase_wf = init_fmap_wf()
-
-                sdc_prep_wf.connect(
-                    [
-                        (
-                            inputnode,
-                            post_phase_wf,
-                            [("b0_stripped", "inputnode.b0_stripped")],
-                        ),
-                        (
-                            phase_wf,
-                            post_phase_wf,
-                            [("outputnode.out_fmap", "inputnode.fieldmap")],
-                        ),
-                        (
-                            phase_wf,
-                            post_phase_wf,
-                            [("outputnode.out_mag", "inputnode.magnitude")],
-                        ),
-                        (
-                            post_phase_wf,
-                            outputnode,
-                            [("outputnode.out_fmap", "out_fmap")],
-                        ),
-                    ]
-                )
-
-            elif fmap["suffix"] == "phase":
-                phase_wf = init_phase_wf(bet_mag_frac)
-                phase_wf.inputs.inputnode.phasediff = [
-                    fmap["phase1"],
-                    fmap["phase2"],
-                ]
-
-                phase_wf.inputs.inputnode.magnitude1 = [
-                    fmap_
-                    for key, fmap_ in sorted(fmap.items())
-                    if key.startswith("magnitude1")
-                ][0]
-
-                phase_wf.inputs.inputnode.phases_meta = [
-                    layout.get_metadata(i)
-                    for i in phase_wf.inputs.inputnode.phasediff
-                ]
-                post_phase_wf = init_fmap_wf()
-
-                sdc_prep_wf.connect(
-                    [
-                        (
-                            inputnode,
-                            post_phase_wf,
-                            [("b0_stripped", "inputnode.b0_stripped")],
-                        ),
-                        (
-                            phase_wf,
-                            post_phase_wf,
-                            [("outputnode.out_fmap", "inputnode.fieldmap")],
-                        ),
-                        (
-                            phase_wf,
-                            post_phase_wf,
-                            [("outputnode.out_mag", "inputnode.magnitude")],
-                        ),
-                        (
-                            post_phase_wf,
-                            outputnode,
-                            [("outputnode.out_fmap", "out_fmap")],
-                        ),
-                    ]
-                )
-        else:
-            print("No sdc correction")
+    else:
+        print("No sdc correction")
     return sdc_prep_wf

From 776dc61890fc2b4009cf3d20d706dcb92cf96e90 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 3 Sep 2019 18:42:47 -0400
Subject: [PATCH 138/156] add reportlet features from sdcflows

---
 dmriprep/interfaces/reportlets.py | 75 ++++++++++++++++++++++++++++
 dmriprep/viz/__init__.py          |  0
 dmriprep/viz/utils.py             | 82 +++++++++++++++++++++++++++++++
 3 files changed, 157 insertions(+)
 create mode 100644 dmriprep/interfaces/reportlets.py
 create mode 100644 dmriprep/viz/__init__.py
 create mode 100644 dmriprep/viz/utils.py

diff --git a/dmriprep/interfaces/reportlets.py b/dmriprep/interfaces/reportlets.py
new file mode 100644
index 00000000..610fdcc1
--- /dev/null
+++ b/dmriprep/interfaces/reportlets.py
@@ -0,0 +1,75 @@
+"""Interfaces to generate speciality reportlets."""
+from nilearn.image import threshold_img, load_img
+from niworkflows import NIWORKFLOWS_LOG
+from niworkflows.viz.utils import cuts_from_bbox, compose_view
+from nipype.interfaces.base import File, isdefined
+from nipype.interfaces.mixins import reporting
+
+from ..viz.utils import plot_registration, coolwarm_transparent
+
+
+class FieldmapReportletInputSpec(reporting.ReportCapableInputSpec):
+    reference = File(exists=True, mandatory=True, desc="input reference")
+    fieldmap = File(exists=True, mandatory=True, desc="input fieldmap")
+    mask = File(exists=True, desc="brain mask")
+    out_report = File(
+        "report.svg", usedefault=True, desc="filename for the visual report"
+    )
+
+
+class FieldmapReportlet(reporting.ReportCapableInterface):
+    """An abstract mixin to registration nipype interfaces."""
+
+    _n_cuts = 7
+    input_spec = FieldmapReportletInputSpec
+    output_spec = reporting.ReportCapableOutputSpec
+
+    def __init__(self, **kwargs):
+        """Instantiate FieldmapReportlet."""
+        self._n_cuts = kwargs.pop("n_cuts", self._n_cuts)
+        super(FieldmapReportlet, self).__init__(generate_report=True, **kwargs)
+
+    def _run_interface(self, runtime):
+        return runtime
+
+    def _generate_report(self):
+        """Generate a reportlet."""
+        NIWORKFLOWS_LOG.info("Generating visual report")
+
+        refnii = load_img(self.inputs.reference)
+        fmapnii = load_img(self.inputs.fieldmap)
+        contour_nii = (
+            load_img(self.inputs.mask) if isdefined(self.inputs.mask) else None
+        )
+        mask_nii = threshold_img(refnii, 1e-3)
+        cuts = cuts_from_bbox(contour_nii or mask_nii, cuts=self._n_cuts)
+        fmapdata = fmapnii.get_fdata()
+        vmax = max(fmapdata.max(), abs(fmapdata.min()))
+
+        # Call composer
+        compose_view(
+            plot_registration(
+                refnii,
+                "fixed-image",
+                estimate_brightness=True,
+                cuts=cuts,
+                label="reference",
+                contour=contour_nii,
+                compress=False,
+            ),
+            plot_registration(
+                fmapnii,
+                "moving-image",
+                estimate_brightness=True,
+                cuts=cuts,
+                label="fieldmap (Hz)",
+                contour=contour_nii,
+                compress=False,
+                plot_params={
+                    "cmap": coolwarm_transparent(),
+                    "vmax": vmax,
+                    "vmin": -vmax,
+                },
+            ),
+            out_file=self._out_report,
+        )
diff --git a/dmriprep/viz/__init__.py b/dmriprep/viz/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/dmriprep/viz/utils.py b/dmriprep/viz/utils.py
new file mode 100644
index 00000000..9df54079
--- /dev/null
+++ b/dmriprep/viz/utils.py
@@ -0,0 +1,82 @@
+"""Visualization tooling."""
+
+
+def plot_registration(
+    anat_nii,
+    div_id,
+    plot_params=None,
+    order=("z", "x", "y"),
+    cuts=None,
+    estimate_brightness=False,
+    label=None,
+    contour=None,
+    compress="auto",
+):
+    """
+    Plot the foreground and background views.
+    Default order is: axial, coronal, sagittal
+    """
+    from uuid import uuid4
+
+    from lxml import etree
+    from nilearn.plotting import plot_anat
+    from svgutils.transform import SVGFigure
+    from niworkflows.viz.utils import robust_set_limits, extract_svg, SVGNS
+
+    plot_params = plot_params or {}
+
+    # Use default MNI cuts if none defined
+    if cuts is None:
+        raise NotImplementedError  # TODO
+
+    out_files = []
+    if estimate_brightness:
+        plot_params = robust_set_limits(anat_nii.get_data().reshape(-1), plot_params)
+
+    # Plot each cut axis
+    for i, mode in enumerate(list(order)):
+        plot_params["display_mode"] = mode
+        plot_params["cut_coords"] = cuts[mode]
+        if i == 0:
+            plot_params["title"] = label
+        else:
+            plot_params["title"] = None
+
+        # Generate nilearn figure
+        display = plot_anat(anat_nii, **plot_params)
+        if contour is not None:
+            display.add_contours(contour, colors="g", levels=[0.5], linewidths=0.5)
+
+        svg = extract_svg(display, compress=compress)
+        display.close()
+
+        # Find and replace the figure_1 id.
+        xml_data = etree.fromstring(svg)
+        find_text = etree.ETXPath("//{%s}g[@id='figure_1']" % SVGNS)
+        find_text(xml_data)[0].set("id", "%s-%s-%s" % (div_id, mode, uuid4()))
+
+        svg_fig = SVGFigure()
+        svg_fig.root = xml_data
+        out_files.append(svg_fig)
+
+    return out_files
+
+
+def coolwarm_transparent():
+    """Modify the coolwarm color scale to have full transparency around the middle."""
+    import numpy as np
+    import matplotlib.pylab as pl
+    from matplotlib.colors import ListedColormap
+
+    # Choose colormap
+    cmap = pl.cm.coolwarm
+
+    # Get the colormap colors
+    my_cmap = cmap(np.arange(cmap.N))
+
+    # Set alpha
+    alpha = np.ones(cmap.N)
+    alpha[128:160] = np.linspace(0, 1, len(alpha[128:160]))
+    alpha[96:128] = np.linspace(1, 0, len(alpha[96:128]))
+    my_cmap[:, -1] = alpha
+    return ListedColormap(my_cmap)

From 063acc8ce74e9a4443228011c449031451a66844 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 3 Sep 2019 18:43:53 -0400
Subject: [PATCH 139/156] update fmap workflows

---
 dmriprep/workflows/base.py                |   8 +-
 dmriprep/workflows/dwi/base.py            |   4 +-
 dmriprep/workflows/dwi/eddy.py            |  10 +-
 dmriprep/workflows/fieldmap/base.py       | 207 ++++++++--------------
 dmriprep/workflows/fieldmap/brainsuite.py |  11 ++
 dmriprep/workflows/fieldmap/fmap.py       |  33 ++--
 dmriprep/workflows/fieldmap/phasediff.py  | 168 ++++++------------
 dmriprep/workflows/fieldmap/synb0.py      |   0
 8 files changed, 168 insertions(+), 273 deletions(-)
 create mode 100644 dmriprep/workflows/fieldmap/brainsuite.py
 create mode 100644 dmriprep/workflows/fieldmap/synb0.py

diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index cb161845..457c0c93 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -111,8 +111,8 @@ def init_dmriprep_wf(
             output_resolution=output_resolution,
             bet_dwi=bet_dwi,
             bet_mag=bet_mag,
-            omp_nthreads=omp_nthreads,
             acqp_file=acqp_file,
+            omp_nthreads=omp_nthreads,
             ignore=ignore,
             work_dir=work_dir,
             synb0_dir=synb0_dir
@@ -173,8 +173,8 @@ def init_single_subject_wf(
         output_resolution=(1, 1, 1),
         bet_dwi=0.3,
         bet_mag=0.3,
-        omp_nthreads=1,
         acqp_file='',
+        omp_nthreads=1,
         ignore=[],
         work_dir='.',
         synb0_dir=''
@@ -201,10 +201,10 @@ def init_single_subject_wf(
             Fractional intensity threshold for BET on dwi image
         bet_mag: float
             Fractional intensity threshold for BET on magnitude image
-        omp_nthreads: int
-            Maximum number of threads an individual process may use
         acqp_file: str
             Optional acquisition parameters file
+        omp_nthreads: int
+            Maximum number of threads an individual process may use
         ignore: list
             Preprocessing steps to skip (may include 'denoise', 'unring', 'fieldmaps')
         work_dir: str
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 4fff6c49..ba9abf24 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -29,8 +29,8 @@ def init_dwi_preproc_wf(
     output_resolution,
     bet_dwi,
     bet_mag,
-    omp_nthreads,
     acqp_file,
+    omp_nthreads,
     ignore,
     synb0_dir
 ):
@@ -54,8 +54,8 @@ def init_dwi_preproc_wf(
             output_resolution=(1, 1, 1),
             bet_dwi=0.3,
             bet_mag=0.3,
-            omp_nthreads=1,
             acqp_file='',
+            omp_nthreads=1,
             ignore=[],
             synb0_dir=''
         )
diff --git a/dmriprep/workflows/dwi/eddy.py b/dmriprep/workflows/dwi/eddy.py
index 60d820af..645791f9 100644
--- a/dmriprep/workflows/dwi/eddy.py
+++ b/dmriprep/workflows/dwi/eddy.py
@@ -13,7 +13,7 @@
 from numba import cuda
 
 
-def init_dwi_eddy_wf(omp_nthreads, fmap_type):
+def init_dwi_eddy_wf(omp_nthreads, sdc_method):
     """
     This workflow runs eddy on the input dwi image.
 
@@ -22,12 +22,14 @@ def init_dwi_eddy_wf(omp_nthreads, fmap_type):
         :simple_form: yes
 
         from dmriprep.workflows.dwi import init_dwi_eddy_wf
-        wf = init_dwi_eddy_wf(omp_nthreads=1)
+        wf = init_dwi_eddy_wf(omp_nthreads=1, sdc_method='nonlinear_reg')
 
     **Parameters**
 
         omp_nthreads: int
             Number of threads to run eddy
+        sdc_type: str
+            Synthetic distortion correction method (may include 'fieldmap, 'topup', 'nonlinear_reg')
 
     **Inputs**
 
@@ -97,12 +99,12 @@ def init_dwi_eddy_wf(omp_nthreads, fmap_type):
                            ('out_rotated_bvecs', 'out_bvec')])
         ])
 
-    if fmap_type == 'fieldmap':
+    if sdc_method == 'fieldmap':
         wf.connect([
             (inputnode, ecc, [('fieldmap_file', 'field')])
         ])
 
-    if fmap_type == 'topup':
+    if sdc_method == 'topup':
         wf.connect([
             (inputnode, ecc, [('topup_fieldcoef', 'in_topup_fieldcoef'),
                               ('topup_movpar', 'in_topup_movpar')])
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index bbb9eb79..ea5987fc 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -3,7 +3,7 @@
 from nipype.pipeline import engine as pe
 from nipype.interfaces import utility as niu
 
-FMAP_PRIORITY = {"epi": 0, "fieldmap": 1, "phasediff": 2, "phase": 3, "syn": 4}
+FMAP_PRIORITY = {'epi': 0, 'fieldmap': 1, 'phasediff': 2, 'phase': 3, 'syn': 4}
 
 
 def init_sdc_prep_wf(
@@ -11,34 +11,32 @@ def init_sdc_prep_wf(
     fmaps,
     metadata,
     layout,
-    bet_mag_frac,
+    bet_mag,
     #synb0,
-    omp_nthreads=1,
-    fmap_bspline=False,
+    omp_nthreads
 ):
 
-    sdc_prep_wf = pe.Workflow(name="sdc_prep_wf")
+    sdc_prep_wf = pe.Workflow(name='sdc_prep_wf')
 
     inputnode = pe.Node(
-        niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode"
-    )
+        niu.IdentityInterface(fields=['b0_stripped']), name='inputnode')
 
     outputnode = pe.Node(
         niu.IdentityInterface(
             fields=[
-                "out_fmap",
-                "out_topup",
-                "bold_ref",
-                "bold_mask",
-                "bold_ref_brain",
-                "out_warp",
-                "syn_bold_ref",
-                "method",
-                "out_movpar",
-                "out_enc_file",
+                'out_fmap',
+                'out_topup',
+                'bold_ref',
+                'bold_mask',
+                'bold_ref_brain',
+                'out_warp',
+                'syn_bold_ref',
+                'method',
+                'out_movpar',
+                'out_enc_file'
             ]
         ),
-        name="outputnode",
+        name='outputnode',
     )
     # if synb0:
     #     from .pepolar import init_synb0_wf
@@ -50,164 +48,103 @@ def init_sdc_prep_wf(
     #             (
     #                 inputnode,
     #                 synb0_wf,
-    #                 [("b0_stripped", "inputnode.b0_stripped")],
+    #                 [('b0_stripped', 'inputnode.b0_stripped')],
     #             ),
     #             (
     #                 synb0_wf,
     #                 outputnode,
     #                 [
-    #                     ("outputnode.out_topup", "out_topup"),
-    #                     ("outputnode.out_movpar", "out_movpar"),
-    #                     ("outputnode.out_enc_file", "out_enc_file"),
-    #                     ("outputnode.out_fmap", "out_fmap"),
+    #                     ('outputnode.out_topup', 'out_topup'),
+    #                     ('outputnode.out_movpar', 'out_movpar'),
+    #                     ('outputnode.out_enc_file', 'out_enc_file'),
+    #                     ('outputnode.out_fmap', 'out_fmap'),
     #                 ],
     #             ),
     #         ]
     #     )
     # else:
-    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap["suffix"]])
+    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
     fmap = fmaps[0]
 
-    if fmap["suffix"] == "epi":
+    if fmap['suffix'] == 'epi':
         from .pepolar import init_pepolar_wf
 
         epi_fmaps = [
-            (fmap_["epi"], fmap_["metadata"]["PhaseEncodingDirection"])
+            (fmap_['epi'], fmap_['metadata']['PhaseEncodingDirection'])
             for fmap_ in fmaps
-            if fmap_["suffix"] == "epi"
+            if fmap_['suffix'] == 'epi'
         ]
 
         pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
 
-        sdc_prep_wf.connect(
-            [
-                (
-                    inputnode,
-                    pepolar_wf,
-                    [("b0_stripped", "inputnode.b0_stripped")],
-                ),
-                (
-                    pepolar_wf,
-                    outputnode,
-                    [
-                        ("outputnode.out_topup", "out_topup"),
-                        ("outputnode.out_movpar", "out_movpar"),
-                        ("outputnode.out_enc_file", "out_enc_file"),
-                        ("outputnode.out_fmap", "out_fmap"),
-                    ],
-                ),
-            ]
-        )
+        sdc_prep_wf.connect([
+            (inputnode, pepolar_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
+            (pepolar_wf, outputnode, [('outputnode.out_topup', 'out_topup'),
+                                      ('outputnode.out_movpar', 'out_movpar'),
+                                      ('outputnode.out_enc_file', 'out_enc_file'),
+                                      ('outputnode.out_fmap', 'out_fmap')])
+        ])
 
-    elif fmap["suffix"] == "fieldmap":
+    elif fmap['suffix'] == 'fieldmap':
         from .fmap import init_fmap_wf
 
-        fmap_wf = init_fmap_wf()
-        fmap_wf.inputs.inputnode.fieldmap = fmap["fieldmap"]
-        fmap_wf.inputs.inputnode.magnitude = fmap["magnitude"]
-
-        sdc_prep_wf.connect(
-            [
-                (
-                    inputnode,
-                    fmap_wf,
-                    [("b0_stripped", "inputnode.b0_stripped")],
-                ),
-                (
-                    fmap_wf,
-                    outputnode,
-                    [("outputnode.out_fmap", "out_fmap")],
-                ),
-            ]
-        )
+        fmap_wf = init_fmap_wf(bet_mag)
+        fmap_wf.inputs.inputnode.fieldmap = fmap['fieldmap']
+        fmap_wf.inputs.inputnode.magnitude = fmap['magnitude']
+
+        sdc_prep_wf.connect([
+            (inputnode, fmap_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
+            (fmap_wf, outputnode, [('outputnode.out_fmap', 'out_fmap')])
+        ])
 
-    elif fmap["suffix"] in ("phasediff", "phase"):
+    elif fmap['suffix'] in ('phasediff', 'phase'):
         from .phasediff import init_phase_wf, init_phdiff_wf
         from .fmap import init_fmap_wf
 
-        if fmap["suffix"] == "phasediff":
-            phase_wf = init_phdiff_wf(bet_mag_frac)
-            phase_wf.inputs.inputnode.phasediff = fmap["phasediff"]
-
+        if fmap['suffix'] == 'phasediff':
+            phase_wf = init_phdiff_wf(bet_mag)
+            phase_wf.inputs.inputnode.phasediff = fmap['phasediff']
             phase_wf.inputs.inputnode.magnitude1 = [
                 fmap_
                 for key, fmap_ in sorted(fmap.items())
-                if key.startswith("magnitude1")
+                if key.startswith('magnitude1')
             ][0]
-
             phase_wf.inputs.inputnode.phases_meta = layout.get_metadata(
-                phase_wf.inputs.inputnode.phasediff
-            )
-            post_phase_wf = init_fmap_wf()
-
-            sdc_prep_wf.connect(
-                [
-                    (
-                        inputnode,
-                        post_phase_wf,
-                        [("b0_stripped", "inputnode.b0_stripped")],
-                    ),
-                    (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_fmap", "inputnode.fieldmap")],
-                    ),
-                    (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_mag", "inputnode.magnitude")],
-                    ),
-                    (
-                        post_phase_wf,
-                        outputnode,
-                        [("outputnode.out_fmap", "out_fmap")],
-                    ),
-                ]
-            )
-
-        elif fmap["suffix"] == "phase":
-            phase_wf = init_phase_wf(bet_mag_frac)
+                phase_wf.inputs.inputnode.phasediff)
+
+            fmap_wf = init_fmap_wf(bet_mag)
+
+            sdc_prep_wf.connect([
+                (inputnode, fmap_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
+                (phase_wf, fmap_wf, [('outputnode.out_fmap', 'inputnode.fieldmap')]),
+                (phase_wf, fmap_wf, [('outputnode.out_mag', 'inputnode.magnitude')]),
+                (fmap_wf, outputnode, [('outputnode.out_fmap', 'out_fmap')])
+            ])
+
+        elif fmap['suffix'] == 'phase':
+            phase_wf = init_phase_wf(bet_mag)
             phase_wf.inputs.inputnode.phasediff = [
-                fmap["phase1"],
-                fmap["phase2"],
+                fmap['phase1'],
+                fmap['phase2']
             ]
-
             phase_wf.inputs.inputnode.magnitude1 = [
                 fmap_
                 for key, fmap_ in sorted(fmap.items())
-                if key.startswith("magnitude1")
+                if key.startswith('magnitude1')
             ][0]
-
             phase_wf.inputs.inputnode.phases_meta = [
                 layout.get_metadata(i)
                 for i in phase_wf.inputs.inputnode.phasediff
             ]
-            post_phase_wf = init_fmap_wf()
-
-            sdc_prep_wf.connect(
-                [
-                    (
-                        inputnode,
-                        post_phase_wf,
-                        [("b0_stripped", "inputnode.b0_stripped")],
-                    ),
-                    (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_fmap", "inputnode.fieldmap")],
-                    ),
-                    (
-                        phase_wf,
-                        post_phase_wf,
-                        [("outputnode.out_mag", "inputnode.magnitude")],
-                    ),
-                    (
-                        post_phase_wf,
-                        outputnode,
-                        [("outputnode.out_fmap", "out_fmap")],
-                    ),
-                ]
-            )
+
+            fmap_wf = init_fmap_wf()
+
+            sdc_prep_wf.connect([
+                (inputnode, fmap_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
+                (phase_wf, fmap_wf, [('outputnode.out_fmap', 'inputnode.fieldmap')]),
+                (phase_wf, fmap_wf, [('outputnode.out_mag', 'inputnode.magnitude')]),
+                (fmap_wf, outputnode, [('outputnode.out_fmap', 'out_fmap')])
+            ])
     else:
-        print("No sdc correction")
+        print('No sdc correction')
     return sdc_prep_wf
diff --git a/dmriprep/workflows/fieldmap/brainsuite.py b/dmriprep/workflows/fieldmap/brainsuite.py
new file mode 100644
index 00000000..af118050
--- /dev/null
+++ b/dmriprep/workflows/fieldmap/brainsuite.py
@@ -0,0 +1,11 @@
+
+
+# bfc -i $indir2/brain.nii.gz -o T1.bfc.nii.gz -v 1 -L 0.5 -U 1.5
+
+# /KIMEL/tigrlab/quarantine/brainsuite/18a/build/bdp/bdp.sh \
+#   T1.bfc.nii.gz \
+#   --t1-mask $indir2/brainmaskautobet_mask.nii.gz \
+#   --nii $indir1/data.nii.gz \
+#   --dwi-mask $indir1/nodif_brain_mask.nii.gz \
+#   -b $indir1/bval.txt \
+#   -g $indir1/eddy_bvecs.txt
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
index 72aa0615..07984b2d 100644
--- a/dmriprep/workflows/fieldmap/fmap.py
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -4,36 +4,39 @@
 from nipype.interfaces import fsl, utility as niu
 
 
-def init_fmap_wf():
+def init_fmap_wf(bet_mag):
 
-    wf = pe.Workflow(name="fmap_prep_wf")
+    wf = pe.Workflow(name='fmap_prep_wf')
 
     inputnode = pe.Node(
-        niu.IdentityInterface(fields=["fieldmap", "magnitude", "b0_stripped"]),
-        name="inputnode",
+        niu.IdentityInterface(fields=['fieldmap', 'magnitude', 'b0_stripped']),
+        name='inputnode',
     )
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_fmap"]), name="outputnode"
+        niu.IdentityInterface(fields=['out_fmap']), name='outputnode'
     )
 
     rad_to_hz = pe.Node(
-        fsl.BinaryMaths(operation="div", operand_value=6.28), name="radToHz"
+        fsl.BinaryMaths(operation='div', operand_value=6.28), name='radToHz'
     )
 
-    mag_flirt = pe.Node(fsl.FLIRT(dof=6), name="magFlirt")
+    mag_bet = pe.Node(fsl.BET(frac=bet_mag, mask=True, robust=True),name='mag_bet')))
 
-    fmap_flirt = pe.Node(fsl.FLIRT(apply_xfm=True), name="fmapFlirt")
+    mag_flirt = pe.Node(fsl.FLIRT(dof=6), name='magFlirt')
+
+    fmap_flirt = pe.Node(fsl.FLIRT(apply_xfm=True), name='fmapFlirt')
 
     wf.connect(
         [
-            (inputnode, rad_to_hz, [("fieldmap", "in_file")]),
-            (inputnode, mag_flirt, [("magnitude", "in_file")]),
-            (inputnode, mag_flirt, [("b0_stripped", "reference")]),
-            (rad_to_hz, fmap_flirt, [("out_file", "in_file")]),
-            (inputnode, fmap_flirt, [("b0_stripped", "reference")]),
-            (mag_flirt, fmap_flirt, [("out_matrix_file", "in_matrix_file")]),
-            (fmap_flirt, outputnode, [("out_file", "out_fmap")]),
+            (inputnode, rad_to_hz, [('fieldmap', 'in_file')]),
+            (inputnode, mag_bet, [('magnitude', 'in_file')]),
+            (mag_bet, mag_flirt, [('out_file', 'in_file')]),
+            (inputnode, mag_flirt, [('b0_stripped', 'reference')]),
+            (rad_to_hz, fmap_flirt, [('out_file', 'in_file')]),
+            (inputnode, fmap_flirt, [('b0_stripped', 'reference')]),
+            (mag_flirt, fmap_flirt, [('out_matrix_file', 'in_matrix_file')]),
+            (fmap_flirt, outputnode, [('out_file', 'out_fmap')]),
         ]
     )
 
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index 941b944d..9cd86d53 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -2,158 +2,100 @@
 
 from nipype.pipeline import engine as pe
 from nipype.interfaces import fsl, ants, utility as niu
-from ...interfaces import Phasediff2Fieldmap, Phases2Fieldmap
+from ...interfaces import Phases2Fieldmap
 
 
-def init_phase_wf(bet_mag_frac):
+def init_phase_wf(bet_mag):
 
-    wf = pe.Workflow(name="phase_prep_wf")
+    wf = pe.Workflow(name='phase_prep_wf')
 
     inputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]
-        ),
-        name="inputnode",
-    )
+            fields=['magnitude1', 'phasediff', 'b0_stripped', 'phases_meta']),
+        name='inputnode')
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_fmap", "out_mag"]),
-        name="outputnode",
-    )
+        niu.IdentityInterface(fields=['out_fmap', 'out_mag']),
+        name='outputnode')
 
-    phases2fmap = pe.Node(Phases2Fieldmap(), name="phases2fmap")
+    phases2fmap = pe.Node(Phases2Fieldmap(), name='phases2fmap')
 
-    n4_correct = pe.Node(
-        ants.N4BiasFieldCorrection(dimension=3, copy_header=True),
-        name="n4_correct",
-    )
-
-    mag_bet = pe.Node(fsl.BET(frac=bet_mag_frac, robust=True), name="mag_bet")
-
-    prep_fmap = pe.Node(
-        fsl.PrepareFieldmap(scanner="SIEMENS", nocheck=True), name="prep_fmap"
-    )
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi_phase")
+    phdiff_wf = init_phdiff_wf(bet_mag)
 
-    delta = pe.Node(
-        niu.Function(
-            input_names=["in_values"],
-            output_names=["out_value"],
-            function=delta_te,
-        ),
-        name="delta",
-    )
-
-    wf.connect(
-        [
-            # Mag bias correct
-            (inputnode, n4_correct, [("magnitude1", "input_image")]),
-            # Mag bet
-            (n4_correct, mag_bet, [("output_image", "in_file")]),
-            # phases -> phdiff
-            (inputnode, phases2fmap, [("phases_meta", "metadatas")]),
-            (inputnode, phases2fmap, [("phasediff", "phase_files")]),
-            # phdiff delta_te
-            (phases2fmap, delta, [("phasediff_metadata", "in_values")]),
-            # prep fmap
-            (mag_bet, prep_fmap, [("out_file", "in_magnitude")]),
-            (phases2fmap, prep_fmap, [("out_file", "in_phase")]),
-            (delta, prep_fmap, [("out_value", "delta_TE")]),
-            # Remove second empty volume
-            (prep_fmap, fslroi, [("out_fieldmap", "in_file")]),
-            (fslroi, outputnode, [("roi_file", "out_fmap")]),
-            (inputnode, outputnode, [("magnitude1", "out_mag")]),
-        ]
-    )
+    wf.connect([
+        (inputnode, phases2fmap, [('phases_meta', 'metadatas')]),
+        (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
+        (inputnode, phdiff_wf, [('magnitude1', 'inputnode.magnitude1'),
+                                ('phases_meta', 'inputnode.phases_meta')]),
+        (phases2fmap, phdiff_wf, [('out_file', 'inputnode.phasediff')])
+        (phdiff_wf, outputnode, [('outputnode.out_fmap', 'out_fmap'),
+                                 ('outputnode.out_mag', 'out_mag')])
+    ])
 
     return wf
 
 
-def init_phdiff_wf(bet_mag_frac):
+def init_phdiff_wf(bet_mag):
 
-    wf = pe.Workflow(name="phdiff_prep_wf")
+    wf = pe.Workflow(name='phdiff_prep_wf')
 
     inputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["magnitude1", "phasediff", "b0_stripped", "phases_meta"]
-        ),
-        name="inputnode",
-    )
+            fields=['magnitude1', 'phasediff', 'phases_meta']),
+        name='inputnode')
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=["out_fmap", "out_mag"]),
-        name="outputnode",
-    )
+        niu.IdentityInterface(fields=['out_fmap', 'out_mag']),
+        name='outputnode')
 
     n4_correct = pe.Node(
         ants.N4BiasFieldCorrection(dimension=3, copy_header=True),
-        name="n4_correct",
-    )
+        name='n4_correct')
 
     mag_bet = pe.Node(
-        fsl.BET(frac=bet_mag_frac, robust=True, mask=True), name="mag_bet"
-    )
+        fsl.BET(frac=bet_mag, robust=True, mask=True), name='mag_bet')
 
     prep_fmap = pe.Node(
-        fsl.PrepareFieldmap(scanner="SIEMENS"), name="prep_fmap"
-    )
+        fsl.PrepareFieldmap(scanner='SIEMENS'), name='prep_fmap')
 
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi_phase")
+    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name='fslroi_phase')
 
     delta = pe.Node(
         niu.Function(
-            input_names=["in_values"],
-            output_names=["out_value"],
-            function=delta_te,
-        ),
-        name="delta",
-    )
-
-    # phdiff2fmap = pe.Node(Phasediff2Fieldmap(), name='phdiff2fmap')
-
-    wf.connect(
-        [
-            # Mag bias correct
-            (inputnode, n4_correct, [("magnitude1", "input_image")]),
-            # Mag bet
-            (n4_correct, mag_bet, [("output_image", "in_file")]),
-            # phdiff delta_te
-            (inputnode, delta, [("phases_meta", "in_values")]),
-            # prep fmap
-            (mag_bet, prep_fmap, [("out_file", "in_magnitude")]),
-            (inputnode, prep_fmap, [("phasediff", "in_phase")]),
-            (delta, prep_fmap, [("out_value", "delta_TE")]),
-            # Remove second empty volume
-            (prep_fmap, fslroi, [("out_fieldmap", "in_file")]),
-            # Output
-            (fslroi, outputnode, [("roi_file", "out_fmap")]),
-            (inputnode, outputnode, [("magnitude1", "out_mag")]),
-        ]
-    )
-    return wf
+            input_names=['in_values'],
+            output_names=['out_value'],
+            function=delta_te),
+        name='delta')
+
+    wf.connect([
+        (inputnode, n4_correct, [('magnitude1', 'input_image')]),
+        (n4_correct, mag_bet, [('output_image', 'in_file')]),
+        (inputnode, delta, [('phases_meta', 'in_values')]),
+        (mag_bet, prep_fmap, [('out_file', 'in_magnitude')]),
+        (inputnode, prep_fmap, [('phasediff', 'in_phase')]),
+        (delta, prep_fmap, [('out_value', 'delta_TE')]),
+        (prep_fmap, fslroi, [('out_fieldmap', 'in_file')]),
+        (fslroi, outputnode, [('roi_file', 'out_fmap')]),
+        (mag_bet, outputnode, [('magnitude1', 'out_mag')])
+    ])
 
-
-def get_metadata(in_file, bids_dir):
-    from bids import BIDSLayout
-
-    layout = BIDSLayout(bids_dir, validate=False)
-    out_dict = layout.get_metadata(in_file)
-    return out_dict
+    return wf
 
 
 def delta_te(in_values, te1=None, te2=None):
-    """Read :math:`\Delta_\text{TE}` from BIDS metadata dict"""
+    """
+    Read :math:`\Delta_\text{TE}` from BIDS metadata dict
+    """
     if isinstance(in_values, float):
         te2 = in_values
         te1 = 0.0
 
     if isinstance(in_values, dict):
-        te1 = in_values.get("EchoTime1")
-        te2 = in_values.get("EchoTime2")
+        te1 = in_values.get('EchoTime1')
+        te2 = in_values.get('EchoTime2')
 
         if not all((te1, te2)):
-            te2 = in_values.get("EchoTimeDifference")
+            te2 = in_values.get('EchoTimeDifference')
             te1 = 0
 
     if isinstance(in_values, list):
@@ -166,16 +108,16 @@ def delta_te(in_values, te1=None, te2=None):
     # For convienience if both are missing we should give one error about them
     if te1 is None and te2 is None:
         raise RuntimeError(
-            "EchoTime1 and EchoTime2 metadata fields not found. "
-            "Please consult the BIDS specification."
+            'EchoTime1 and EchoTime2 metadata fields not found. '
+            'Please consult the BIDS specification.'
         )
     if te1 is None:
         raise RuntimeError(
-            "EchoTime1 metadata field not found. Please consult the BIDS specification."
+            'EchoTime1 metadata field not found. Please consult the BIDS specification.'
         )
     if te2 is None:
         raise RuntimeError(
-            "EchoTime2 metadata field not found. Please consult the BIDS specification."
+            'EchoTime2 metadata field not found. Please consult the BIDS specification.'
         )
 
     return 1000 * abs(float(te2) - float(te1))
diff --git a/dmriprep/workflows/fieldmap/synb0.py b/dmriprep/workflows/fieldmap/synb0.py
new file mode 100644
index 00000000..e69de29b

From d550fe0de0d726109e3ec7016d561377a504b954 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 3 Sep 2019 18:44:03 -0400
Subject: [PATCH 140/156] update docs

---
 docs/dmriprep.interfaces.rst         |  8 ++++++++
 docs/dmriprep.rst                    |  1 +
 docs/dmriprep.viz.rst                | 22 ++++++++++++++++++++++
 docs/dmriprep.workflows.dwi.rst      |  8 ++++++++
 docs/dmriprep.workflows.fieldmap.rst | 24 ++++++++++++++++++++++++
 5 files changed, 63 insertions(+)
 create mode 100644 docs/dmriprep.viz.rst

diff --git a/docs/dmriprep.interfaces.rst b/docs/dmriprep.interfaces.rst
index fed3b464..70866b7d 100644
--- a/docs/dmriprep.interfaces.rst
+++ b/docs/dmriprep.interfaces.rst
@@ -12,6 +12,14 @@ dmriprep.interfaces.fmap module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.interfaces.reportlets module
+-------------------------------------
+
+.. automodule:: dmriprep.interfaces.reportlets
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 
 Module contents
 ---------------
diff --git a/docs/dmriprep.rst b/docs/dmriprep.rst
index 0ebaf83b..459f093d 100644
--- a/docs/dmriprep.rst
+++ b/docs/dmriprep.rst
@@ -8,6 +8,7 @@ Subpackages
 
    dmriprep.interfaces
    dmriprep.utils
+   dmriprep.viz
    dmriprep.workflows
 
 Submodules
diff --git a/docs/dmriprep.viz.rst b/docs/dmriprep.viz.rst
new file mode 100644
index 00000000..d972ce7a
--- /dev/null
+++ b/docs/dmriprep.viz.rst
@@ -0,0 +1,22 @@
+dmriprep.viz package
+====================
+
+Submodules
+----------
+
+dmriprep.viz.utils module
+-------------------------
+
+.. automodule:: dmriprep.viz.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Module contents
+---------------
+
+.. automodule:: dmriprep.viz
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/dmriprep.workflows.dwi.rst b/docs/dmriprep.workflows.dwi.rst
index 8712e710..015977ea 100644
--- a/docs/dmriprep.workflows.dwi.rst
+++ b/docs/dmriprep.workflows.dwi.rst
@@ -52,6 +52,14 @@ dmriprep.workflows.dwi.tensor module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.workflows.dwi.util module
+----------------------------------
+
+.. automodule:: dmriprep.workflows.dwi.util
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 
 Module contents
 ---------------
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index de3b9695..cd4eda34 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -4,6 +4,14 @@ dmriprep.workflows.fieldmap package
 Submodules
 ----------
 
+dmriprep.workflows.fieldmap.ants module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.ants
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.fieldmap.base module
 ---------------------------------------
 
@@ -12,6 +20,14 @@ dmriprep.workflows.fieldmap.base module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.workflows.fieldmap.brainsuite module
+---------------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.brainsuite
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.fieldmap.fmap module
 ---------------------------------------
 
@@ -36,6 +52,14 @@ dmriprep.workflows.fieldmap.phasediff module
    :undoc-members:
    :show-inheritance:
 
+dmriprep.workflows.fieldmap.synb0 module
+----------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.synb0
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 
 Module contents
 ---------------

From 160d1c408878dd01e2e3e119b5074e6012d3dad6 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Tue, 3 Sep 2019 19:07:33 -0400
Subject: [PATCH 141/156] fix typos

---
 MANIFEST.in                              |   3 +-
 dmriprep/workflows/fieldmap/base.py      |   3 +-
 dmriprep/workflows/fieldmap/fmap.py      |   2 +-
 dmriprep/workflows/fieldmap/pepolar.py   | 116 +++++++++++------------
 dmriprep/workflows/fieldmap/phasediff.py |   2 +-
 5 files changed, 62 insertions(+), 64 deletions(-)

diff --git a/MANIFEST.in b/MANIFEST.in
index dbcde41c..be933cdd 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,6 +1,5 @@
-include AUTHORS.rst
 include CONTRIBUTING.rst
-include HISTORY.rst
+include CHANGES.rst
 include LICENSE
 include README.rst
 
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index ea5987fc..882d8f70 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -13,8 +13,7 @@ def init_sdc_prep_wf(
     layout,
     bet_mag,
     #synb0,
-    omp_nthreads
-):
+    ):
 
     sdc_prep_wf = pe.Workflow(name='sdc_prep_wf')
 
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
index 07984b2d..d28399a7 100644
--- a/dmriprep/workflows/fieldmap/fmap.py
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -21,7 +21,7 @@ def init_fmap_wf(bet_mag):
         fsl.BinaryMaths(operation='div', operand_value=6.28), name='radToHz'
     )
 
-    mag_bet = pe.Node(fsl.BET(frac=bet_mag, mask=True, robust=True),name='mag_bet')))
+    mag_bet = pe.Node(fsl.BET(frac=bet_mag, mask=True, robust=True), name='mag_bet')
 
     mag_flirt = pe.Node(fsl.FLIRT(dof=6), name='magFlirt')
 
diff --git a/dmriprep/workflows/fieldmap/pepolar.py b/dmriprep/workflows/fieldmap/pepolar.py
index 3243a043..d24caeff 100644
--- a/dmriprep/workflows/fieldmap/pepolar.py
+++ b/dmriprep/workflows/fieldmap/pepolar.py
@@ -6,7 +6,7 @@
 
 def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
-    dwi_file_pe = dwi_meta["PhaseEncodingDirection"]
+    dwi_file_pe = dwi_meta['PhaseEncodingDirection']
 
     file2dir = dict()
 
@@ -23,22 +23,22 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
     if not usable_fieldmaps_opposite_pe:
         raise Exception(
-            "None of the discovered fieldmaps for "
-            "participant {} has the right phase "
-            "encoding direction".format(subject_id)
+            'None of the discovered fieldmaps for '
+            'participant {} has the right phase '
+            'encoding direction'.format(subject_id)
         )
 
-    wf = pe.Workflow(name="pepolar_wf")
+    wf = pe.Workflow(name='pepolar_wf')
 
     inputnode = pe.Node(
-        niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode"
+        niu.IdentityInterface(fields=['b0_stripped']), name='inputnode'
     )
 
     outputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]
+            fields=['out_topup', 'out_movpar', 'out_fmap', 'out_enc_file']
         ),
-        name="outputnode",
+        name='outputnode',
     )
 
     topup_wf = init_topup_wf()
@@ -47,7 +47,7 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
     if not usable_fieldmaps_matching_pe:
         wf.connect(
-            [(inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])]
+            [(inputnode, topup_wf, [('b0_stripped', 'inputnode.epi_file')])]
         )
     else:
         topup_wf.inputs.inputnode.epi_file = usable_fieldmaps_matching_pe[0]
@@ -57,12 +57,12 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
         topup_wf.inputs.inputnode.altepi_file,
     ]
     dir_map = {
-        "i": "x",
-        "i-": "x-",
-        "j": "y",
-        "j-": "y-",
-        "k": "z",
-        "k-": "z-",
+        'i': 'x',
+        'i-': 'x-',
+        'j': 'y',
+        'j-': 'y-',
+        'k': 'z',
+        'k-': 'z-',
     }
     topup_wf.inputs.inputnode.encoding_directions = [
         dir_map[file2dir[file]] for file in epi_list
@@ -74,10 +74,10 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
                 topup_wf,
                 outputnode,
                 [
-                    ("outputnode.out_fmap", "out_fmap"),
-                    ("outputnode.out_movpar", "out_movpar"),
-                    ("outputnode.out_base", "out_topup"),
-                    ("outputnode.out_enc_file", "out_enc_file"),
+                    ('outputnode.out_fmap', 'out_fmap'),
+                    ('outputnode.out_movpar', 'out_movpar'),
+                    ('outputnode.out_base', 'out_topup'),
+                    ('outputnode.out_enc_file', 'out_enc_file'),
                 ],
             )
         ]
@@ -87,33 +87,33 @@ def init_pepolar_wf(subject_id, dwi_meta, epi_fmaps):
 
 
 def init_synb0_wf(subject_id, dwi_meta, synb0):
-    dwi_file_pe = dwi_meta["PhaseEncodingDirection"]
+    dwi_file_pe = dwi_meta['PhaseEncodingDirection']
 
     file2dir = dict()
 
     usable_fieldmaps_matching_pe = []
     usable_fieldmaps_opposite_pe = []
 
-    wf = pe.Workflow(name="synb0_wf")
+    wf = pe.Workflow(name='synb0_wf')
 
     inputnode = pe.Node(
-        niu.IdentityInterface(fields=["b0_stripped"]), name="inputnode"
+        niu.IdentityInterface(fields=['b0_stripped']), name='inputnode'
     )
 
     outputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["out_topup", "out_movpar", "out_fmap", "out_enc_file"]
+            fields=['out_topup', 'out_movpar', 'out_fmap', 'out_enc_file']
         ),
-        name="outputnode",
+        name='outputnode',
     )
 
     topup_wf = init_topup_wf(use_acqp=True)
     topup_wf.inputs.inputnode.altepi_file = synb0
     wf.add_nodes([inputnode])
     wf.connect(
-        [(inputnode, topup_wf, [("b0_stripped", "inputnode.epi_file")])]
+        [(inputnode, topup_wf, [('b0_stripped', 'inputnode.epi_file')])]
     )
-    topup_wf.inputs.inputnode.acqp = "/scratch/smansour/synb0_acqp.txt"
+    topup_wf.inputs.inputnode.acqp = '/scratch/smansour/synb0_acqp.txt'
 
     wf.connect(
         [
@@ -121,9 +121,9 @@ def init_synb0_wf(subject_id, dwi_meta, synb0):
                 topup_wf,
                 outputnode,
                 [
-                    ("outputnode.out_fmap", "out_fmap"),
-                    ("outputnode.out_movpar", "out_movpar"),
-                    ("outputnode.out_base", "out_topup"),
+                    ('outputnode.out_fmap', 'out_fmap'),
+                    ('outputnode.out_movpar', 'out_movpar'),
+                    ('outputnode.out_base', 'out_topup'),
                 ],
             )
         ]
@@ -135,44 +135,44 @@ def init_synb0_wf(subject_id, dwi_meta, synb0):
 def init_topup_wf(use_acqp=False):
     from ...interfaces import mrtrix3
 
-    wf = pe.Workflow(name="topup_wf")
+    wf = pe.Workflow(name='topup_wf')
 
     inputnode = pe.Node(
         niu.IdentityInterface(
             fields=[
-                "epi_file",
-                "altepi_file",
-                "encoding_directions",
-                "topup_name",
-                "acqp",
+                'epi_file',
+                'altepi_file',
+                'encoding_directions',
+                'topup_name',
+                'acqp',
             ]
         ),
-        name="inputnode",
+        name='inputnode',
     )
-    inputnode.inputs.topup_name = "topup_base"
+    inputnode.inputs.topup_name = 'topup_base'
 
-    epi_flirt = pe.Node(fsl.FLIRT(), name="epi_flirt")
+    epi_flirt = pe.Node(fsl.FLIRT(), name='epi_flirt')
 
     outputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["out_fmap", "out_movpar", "out_base", "out_enc_file"]
+            fields=['out_fmap', 'out_movpar', 'out_base', 'out_enc_file']
         ),
-        name="outputnode",
+        name='outputnode',
     )
 
-    list_merge = pe.Node(niu.Merge(numinputs=2), name="list_merge")
+    list_merge = pe.Node(niu.Merge(numinputs=2), name='list_merge')
 
-    merge = pe.Node(fsl.Merge(dimension="t"), name="mergeAPPA")
+    merge = pe.Node(fsl.Merge(dimension='t'), name='mergeAPPA')
 
     # Resize (make optional)
-    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name="epi_resize")
+    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name='epi_resize')
 
-    topup = pe.Node(fsl.TOPUP(), name="topup")
+    topup = pe.Node(fsl.TOPUP(), name='topup')
 
-    get_base_movpar = lambda x: x.split("_movpar.txt")[0]
+    get_base_movpar = lambda x: x.split('_movpar.txt')[0]
 
     if use_acqp:
-        wf.connect([(inputnode, topup, [("acqp", "encoding_file")])])
+        wf.connect([(inputnode, topup, [('acqp', 'encoding_file')])])
     else:
         topup.inputs.readout_times = [0.05, 0.05]
         wf.connect(
@@ -180,32 +180,32 @@ def init_topup_wf(use_acqp=False):
                 (
                     inputnode,
                     topup,
-                    [("encoding_directions", "encoding_direction")],
+                    [('encoding_directions', 'encoding_direction')],
                 )
             ]
         )
 
     wf.connect(
         [
-            (inputnode, list_merge, [("epi_file", "in1")]),
+            (inputnode, list_merge, [('epi_file', 'in1')]),
             (
                 inputnode,
                 epi_flirt,
-                [("altepi_file", "in_file"), ("epi_file", "reference")],
+                [('altepi_file', 'in_file'), ('epi_file', 'reference')],
             ),
-            (epi_flirt, list_merge, [("out_file", "in2")]),
-            (list_merge, merge, [("out", "in_files")]),
-            # (merge, resize, [("merged_file", "in_file")]),
-            # (resize, topup, [("out_file", "in_file")]),
-            (merge, topup, [("merged_file", "in_file")]),
+            (epi_flirt, list_merge, [('out_file', 'in2')]),
+            (list_merge, merge, [('out', 'in_files')]),
+            # (merge, resize, [('merged_file', 'in_file')]),
+            # (resize, topup, [('out_file', 'in_file')]),
+            (merge, topup, [('merged_file', 'in_file')]),
             (
                 topup,
                 outputnode,
                 [
-                    ("out_field", "out_fmap"),
-                    ("out_movpar", "out_movpar"),
-                    ("out_enc_file", "out_enc_file"),
-                    (("out_movpar", get_base_movpar), "out_base"),
+                    ('out_field', 'out_fmap'),
+                    ('out_movpar', 'out_movpar'),
+                    ('out_enc_file', 'out_enc_file'),
+                    (('out_movpar', get_base_movpar), 'out_base'),
                 ],
             ),
         ]
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index 9cd86d53..b16d1d08 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -76,7 +76,7 @@ def init_phdiff_wf(bet_mag):
         (delta, prep_fmap, [('out_value', 'delta_TE')]),
         (prep_fmap, fslroi, [('out_fieldmap', 'in_file')]),
         (fslroi, outputnode, [('roi_file', 'out_fmap')]),
-        (mag_bet, outputnode, [('magnitude1', 'out_mag')])
+        (mag_bet, outputnode, [('out_file', 'out_mag')])
     ])
 
     return wf

From 081ecc2ae45f21c71598a64e51308f0fa68c6b5e Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 06:57:02 -0400
Subject: [PATCH 142/156] update docs

---
 .zenodo.json                         |  39 ++++----
 CHANGES.rst                          |  21 +++--
 dmriprep/cli.py                      |   1 +
 dmriprep/workflows/dwi/base.py       | 135 +++++++++------------------
 dmriprep/workflows/dwi/eddy.py       |   5 +-
 dmriprep/workflows/dwi/tensor.py     |  71 ++++++--------
 dmriprep/workflows/dwi/util.py       |  39 +++++++-
 docs/dmriprep.workflows.fieldmap.rst |   8 --
 docs/usage.rst                       |   8 +-
 9 files changed, 153 insertions(+), 174 deletions(-)

diff --git a/.zenodo.json b/.zenodo.json
index 85aeb35a..0e49b52a 100644
--- a/.zenodo.json
+++ b/.zenodo.json
@@ -3,33 +3,38 @@
     "description": "<p>dMRIPrep is a robust and easy-to-use pipeline for preprocessing of dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.</p>",
     "creators": [
         {
-        "name": "Richie-Halford, Adam",
-        "affiliation": "University of Washington",
-        "orcid": "0000-0001-9276-9084"
+            "name": "Richie-Halford, Adam",
+            "affiliation": "University of Washington",
+            "orcid": "0000-0001-9276-9084"
         },
         {
-        "name": "Rokem, Ariel",
-        "affiliation": "The University of Washington eScience Institute",
-        "orcid": "0000-0003-0679-1985"
+            "name": "Rokem, Ariel",
+            "affiliation": "The University of Washington eScience Institute",
+            "orcid": "0000-0003-0679-1985"
         },
         {
-        "name": "Yeatman, Jason",
-        "affiliation": "Stanford University",
-        "orcid": "0000-0002-2686-1293"
+            "name": "Yeatman, Jason",
+            "affiliation": "Stanford University",
+            "orcid": "0000-0002-2686-1293"
         },
         {
-        "name": "Joseph, Michael",
-        "affiliation": "The Centre for Addiction and Mental Health",
-        "orcid": "0000-0002-0068-230X"
+            "name": "Joseph, Michael",
+            "affiliation": "The Centre for Addiction and Mental Health",
+            "orcid": "0000-0002-0068-230X"
         },
         {
-        "name": "Mansour, Salim",
-        "affiliation": "The Centre for Addiction and Mental Health"
+            "name": "Mansour, Salim",
+            "affiliation": "The Centre for Addiction and Mental Health"
         },
         {
-        "name": "Keshavan, Anisha",
-        "affiliation": "Child Mind Institute",
-        "orcid": "0000-0003-3554-043X"
+            "name": "Forde, Natalie",
+            "affiliation": "The Centre for Addiction and Mental Health",
+            "orcid": "0000-0002-2005-8774"
+        },
+        {
+            "name": "Keshavan, Anisha",
+            "affiliation": "Child Mind Institute",
+            "orcid": "0000-0003-3554-043X"
         }
     ]
 }
diff --git a/CHANGES.rst b/CHANGES.rst
index 1fef9251..befe25df 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -1,16 +1,23 @@
 Upcoming release (TBD)
 ======================
 
-0.2.0 (August 20, 2019)
+0.2.0 (September 6, 2019)
 =======================
 
-  * ENH: Add ``collect_participants`` and ``validate_input_dir`` functions (taken from niworkflows)
-  * ENH: Add ``dwidenoise``, ``mrdegibbs``, ``mrresize``, and ``dwibiascorrect`` from Mrtrix3 as preprocessing steps for the dwi images
-  * ENH: Add workflow for using a synthetic b0 as a reverse PE image for topup
-  * ENH: Add workflows for dealing with fieldmap, phasediff and phase1/phase2 scans (taken from sdcflows)
-  * ENH: Switch crash logs from pickle to text files for easier reading by the user
+  * ENH: Add workflow for concatenating dwi scans based on ``--concat_dwis`` list
+  * ENH: Enable parallel processing of nodes
+  * ENH: Run ``bids-validator`` before pipeline start
+  * ENH: Switch crash logs from pickled objects to text files for easier reading by the user
   * MAINT: Migrate to a setup.cfg style of installation
-  * ENH: Refactor ``run_dmriprep_pe`` workflow into a single subject workflow with separate sub-workflows for dwi and fieldmap pre-processing
+  * ENH: If b0s in the same phase encoding direction don't exist, allow topup to use them from the dwi image
+  * ENH: Switch post-eddy mask creation node to use ``dwi2mask`` instead of ``median_otsu``
+  * ENH: Take in a pre-specified acquisition parameters file for eddy instead of creating anew using ``--acqp_file``
+  * ENH: Update command line interface with stricter validation of input arguments and options
+  * ENH: Add workflow for using a synthetic b0 as a reverse PE image for topup (must be pre-generated)
+  * ENH: Add workflows for susceptibility distortion correction using fieldmap, phasediff and phase1/phase2 scans
+  * ENH: Add command line options for ignoring denoising and unringing and setting desired output resolution
+  * ENH: Add ``dwidenoise``, ``mrdegibbs``, ``mrresize``, and ``dwibiascorrect`` from Mrtrix3 as preprocessing steps for the dwi images
+  * ENH: Refactor ``run_dmriprep_pe`` workflow into a single subject workflow with separate sub-workflows for dwi pre-processing and topup
 
 0.1.0 (September 6, 2018)
 =========================
diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 7e70cd8a..3fdb1dfc 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -108,6 +108,7 @@
 # workflow configuration
 @click.option(
     '--nthreads',
+    '--n_cpus',
     default=1,
     show_default=True,
     help='Maximum number of threads across all processes',
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index ba9abf24..2e231644 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -100,11 +100,8 @@ def init_dwi_preproc_wf(
                 'dwi_meta',
                 'bvec_file',
                 'bval_file',
-                'out_dir',
-            ]
-        ),
-        name='inputnode',
-    )
+                'out_dir']),
+        name='inputnode')
 
     outputnode = pe.Node(
         niu.IdentityInterface(
@@ -122,11 +119,8 @@ def init_dwi_preproc_wf(
                 'out_dtifit_FA',
                 'out_dtifit_V1',
                 'out_dtifit_sse',
-                'out_noise',
-            ]
-        ),
-        name='outputnode',
-    )
+                'out_noise']),
+        name='outputnode')
 
     def gen_index(in_file):
         """
@@ -162,10 +156,8 @@ def gen_index(in_file):
 
     gen_idx = pe.Node(
         niu.Function(
-            input_names=['in_file'], output_names=['out_file'], function=gen_index
-        ),
-        name='gen_index',
-    )
+            input_names=['in_file'], output_names=['out_file'], function=gen_index),
+        name='gen_index')
 
     def gen_acqparams(in_file, metadata):
         """
@@ -217,17 +209,8 @@ def gen_acqparams(in_file, metadata):
         niu.Function(
             input_names=['in_file', 'metadata'],
             output_names=['out_file'],
-            function=gen_acqparams,
-        ),
-        name='acqp',
-    )
-
-    dwi_wf.connect(
-        [
-            (inputnode, gen_idx, [('dwi_file', 'in_file')]),
-            (inputnode, acqp, [('dwi_file', 'in_file'), ('dwi_meta', 'metadata')]),
-        ]
-    )
+            function=gen_acqparams),
+        name='acqp')
 
     dwi_artifacts_wf = init_dwi_artifacts_wf(ignore, output_resolution)
 
@@ -268,10 +251,8 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         niu.Function(
             input_names=['in_dwi', 'in_bval', 'b0_thresh'],
             output_names=['out_file'],
-            function=b0_average,
-        ),
-        name='b0_avg_pre',
-    )
+            function=b0_average),
+        name='b0_avg_pre')
 
     avg_b0_0.inputs.b0_thresh = b0_thresh
 
@@ -281,22 +262,13 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
 
     ecc = pe.Node(
         fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
-        name='fsl_eddy',
-    )
+        name='fsl_eddy')
     try:
         if cuda.gpus:
             ecc.inputs.use_cuda = True
     except:
         ecc.inputs.use_cuda = False
 
-    dwi_wf.connect(
-        [
-            (inputnode, dwi_artifacts_wf, [('dwi_file', 'inputnode.dwi_file')]),
-            (dwi_artifacts_wf, avg_b0_0, [('outputnode.out_file', 'in_dwi')]),
-            (dwi_artifacts_wf, ecc, [('outputnode.out_file', 'in_file')])
-        ]
-    )
-
     denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name='denoise_eddy')
 
     eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name='eddy_quad')
@@ -325,61 +297,42 @@ def get_b0_mask_fn(b0_file):
 
     b0mask_node = pe.Node(
         niu.Function(
-            input_names=['b0_file'], output_names=['mask_file'], function=get_b0_mask_fn
-        ),
-        name='getB0Mask',
-    )
-
-    dwi_wf.connect(
-        [
-            (inputnode, avg_b0_0, [('bval_file', 'in_bval')]),
-            (avg_b0_0, bet_dwi0, [('out_file', 'in_file')]),
-            (inputnode, ecc, [('bval_file', 'in_bval'),
-                              ('bvec_file', 'in_bvec')]),
-            (bet_dwi0, ecc, [('mask_file', 'in_mask')]),
-            (gen_idx, ecc, [('out_file', 'in_index')]),
-            (acqp, ecc, [('out_file', 'in_acqp')]),
-            (ecc, denoise_eddy, [('out_corrected', 'in_file')]),
-            (
-                ecc,
-                bias_correct,
-                [('out_corrected', 'in_file'), ('out_rotated_bvecs', 'in_bvec')],
-            ),
-            (inputnode, bias_correct, [('bval_file', 'in_bval')]),
-            (bias_correct, fslroi, [('out_file', 'in_file')]),
-            (fslroi, b0mask_node, [('roi_file', 'b0_file')]),
-            (
-                ecc,
-                eddy_quad,
-                [
-                    (('out_corrected', get_path), 'base_name'),
-                    (('out_corrected', get_qc_path), 'output_dir'),
-                    ('out_rotated_bvecs', 'bvec_file'),
-                ],
-            ),
-            (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
-            (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
-            (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
-            (acqp, eddy_quad, [('out_file', 'param_file')]),
-        ]
-    )
+            input_names=['b0_file'], output_names=['mask_file'], function=get_b0_mask_fn),
+        name='getB0Mask')
 
     tensor_wf = init_dwi_tensor_wf()
 
-    dwi_wf.connect(
-        [
-            (inputnode, tensor_wf, [('bval_file', 'inputnode.bval_file')]),
-            (b0mask_node, tensor_wf, [('mask_file', 'inputnode.mask_file')]),
-            (
-                ecc,
-                tensor_wf,
-                [
-                    ('out_corrected', 'inputnode.dwi_file'),
-                    ('out_rotated_bvecs', 'inputnode.bvec_file'),
-                ],
-            ),
-        ]
-    )
+    dwi_wf.connect([
+        (inputnode, gen_idx, [('dwi_file', 'in_file')]),
+        (inputnode, acqp, [('dwi_file', 'in_file'), ('dwi_meta', 'metadata')]),
+        (inputnode, dwi_artifacts_wf, [('dwi_file', 'inputnode.dwi_file')]),
+        (dwi_artifacts_wf, avg_b0_0, [('outputnode.out_file', 'in_dwi')]),
+        (dwi_artifacts_wf, ecc, [('outputnode.out_file', 'in_file')]),
+        (inputnode, avg_b0_0, [('bval_file', 'in_bval')]),
+        (avg_b0_0, bet_dwi0, [('out_file', 'in_file')]),
+        (inputnode, ecc, [('bval_file', 'in_bval'),
+                          ('bvec_file', 'in_bvec')]),
+        (bet_dwi0, ecc, [('mask_file', 'in_mask')]),
+        (gen_idx, ecc, [('out_file', 'in_index')]),
+        (acqp, ecc, [('out_file', 'in_acqp')]),
+        (ecc, denoise_eddy, [('out_corrected', 'in_file')]),
+        (ecc, bias_correct, [('out_corrected', 'in_file'),
+                             ('out_rotated_bvecs', 'in_bvec')]),
+        (inputnode, bias_correct, [('bval_file', 'in_bval')]),
+        (bias_correct, fslroi, [('out_file', 'in_file')]),
+        (fslroi, b0mask_node, [('roi_file', 'b0_file')]),
+        (ecc, eddy_quad, [(('out_corrected', get_path), 'base_name'),
+                          (('out_corrected', get_qc_path), 'output_dir'),
+                          ('out_rotated_bvecs', 'bvec_file')]),
+        (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
+        (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
+        (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
+        (acqp, eddy_quad, [('out_file', 'param_file')]),
+        (inputnode, tensor_wf, [('bval_file', 'inputnode.bval_file')]),
+        (b0mask_node, tensor_wf, [('mask_file', 'inputnode.mask_file')]),
+        (ecc, tensor_wf, [('out_corrected', 'inputnode.dwi_file'),
+                          ('out_rotated_bvecs', 'inputnode.bvec_file')])
+    ])
 
     # # If synb0 is meant to be used
     # if synb0_dir:
diff --git a/dmriprep/workflows/dwi/eddy.py b/dmriprep/workflows/dwi/eddy.py
index 645791f9..d11808c7 100644
--- a/dmriprep/workflows/dwi/eddy.py
+++ b/dmriprep/workflows/dwi/eddy.py
@@ -79,8 +79,7 @@ def init_dwi_eddy_wf(omp_nthreads, sdc_method):
 
     ecc = pe.Node(
         fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
-        name='fsl_eddy',
-    )
+        name='fsl_eddy')
 
     try:
         if cuda.gpus:
@@ -97,7 +96,7 @@ def init_dwi_eddy_wf(omp_nthreads, sdc_method):
                           ('mask_file', 'in_mask')]),
         (ecc, outputnode, [('out_corrected', 'out_file'),
                            ('out_rotated_bvecs', 'out_bvec')])
-        ])
+    ])
 
     if sdc_method == 'fieldmap':
         wf.connect([
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
index 8106d493..92bea601 100644
--- a/dmriprep/workflows/dwi/tensor.py
+++ b/dmriprep/workflows/dwi/tensor.py
@@ -51,55 +51,38 @@ def init_dwi_tensor_wf():
 
     """
 
-    wf = pe.Workflow(name="dwi_tensor_wf")
+    wf = pe.Workflow(name='dwi_tensor_wf')
 
     inputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["dwi_file", "bvec_file", "bval_file", "mask_file"]
-        ),
-        name="inputnode",
-    )
+            fields=['dwi_file', 'bvec_file', 'bval_file', 'mask_file']),
+        name='inputnode')
 
     outputnode = pe.Node(
         niu.IdentityInterface(
-            fields=["FA_file", "MD_file", "AD_file", "RD_file", "V1_file", "sse_file"]
-        ),
-        name="outputnode",
-    )
-
-    dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name="dtifit")
-
-    add_l2_l3 = pe.Node(fsl.BinaryMaths(operation="add"), name="add_l2_l3")
-
-    calc_rd = pe.Node(fsl.BinaryMaths(operand_value=2, operation="div"), name="calc_rd")
-
-    wf.connect(
-        [
-            (
-                inputnode,
-                dtifit,
-                [
-                    ("dwi_file", "dwi"),
-                    ("bvec_file", "bvecs"),
-                    ("bval_file", "bvals"),
-                    ("mask_file", "mask"),
-                ],
-            ),
-            (dtifit, add_l2_l3, [("L2", "in_file"), ("L3", "operand_file")]),
-            (add_l2_l3, calc_rd, [("out_file", "in_file")]),
-            (calc_rd, outputnode, [("out_file", "RD_file")]),
-            (
-                dtifit,
-                outputnode,
-                [
-                    ("FA", "FA_file"),
-                    ("MD", "MD_file"),
-                    ("L1", "AD_file"),
-                    ("V1", "V1_file"),
-                    ("sse", "sse_file"),
-                ],
-            ),
-        ]
-    )
+            fields=['FA_file', 'MD_file', 'AD_file', 'RD_file', 'V1_file', 'sse_file']),
+        name='outputnode')
+
+    dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name='dtifit')
+
+    add_l2_l3 = pe.Node(fsl.BinaryMaths(operation='add'), name='add_l2_l3')
+
+    calc_rd = pe.Node(fsl.BinaryMaths(operand_value=2, operation='div'), name='calc_rd')
+
+    wf.connect([
+        (inputnode, dtifit, [('dwi_file', 'dwi'),
+                             ('bvec_file', 'bvecs'),
+                             ('bval_file', 'bvals'),
+                             ('mask_file', 'mask')]),
+        (dtifit, add_l2_l3, [('L2', 'in_file'),
+                             ('L3', 'operand_file')]),
+        (add_l2_l3, calc_rd, [('out_file', 'in_file')]),
+        (calc_rd, outputnode, [('out_file', 'RD_file')]),
+        (dtifit, outputnode, [('FA', 'FA_file'),
+                              ('MD', 'MD_file'),
+                              ('L1', 'AD_file'),
+                              ('V1', 'V1_file'),
+                              ('sse', 'sse_file')])
+    ])
 
     return wf
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
index fd1bd49d..da50da5b 100644
--- a/dmriprep/workflows/dwi/util.py
+++ b/dmriprep/workflows/dwi/util.py
@@ -3,6 +3,9 @@
 """
 Utility workflows
 ^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_dwi_concat_wf
+
 """
 
 from nipype.pipeline import engine as pe
@@ -11,6 +14,40 @@
 
 def init_dwi_concat_wf(ref_file):
     """
+    This workflow concatenates a list of dwi images as well as their associated
+    bvecs and bvals.
+
+    .. workflow::
+        :graph2use: orig
+        :simple_form: yes
+
+        from dmriprep.workflows.dwi import init_dwi_concat_wf
+        wf = init_dwi_artifacts_wf(ref_file='/madeup/path/sub-01_dwi.nii.gz')
+
+    **Parameters**
+
+        ref_file : :obj:`str`
+            reference dwi NIfTI file for naming outputs
+
+    **Inputs**
+
+        ref_file
+            reference dwi NIfTI file
+        dwi_list : :obj:`list`
+            list of dwi NIfTI files
+        bvec_list : :obj:`list`
+            list of associated bvec files
+        bval_list : :obj:`list`
+            list of associated bval files
+
+    **Outputs**
+
+        dwi_file : :obj:`str`
+            concatenated dwi NIfTI file
+        bvec_file
+            concatenated bvec file
+        bval_file
+            concatenated bval file
 
     """
 
@@ -20,7 +57,7 @@ def init_dwi_concat_wf(ref_file):
                                                       'dwi_list',
                                                       'bvec_list',
                                                       'bval_list']),
-                       name='inputnode')
+                        name='inputnode')
 
     outputnode = pe.Node(niu.IdentityInterface(fields=['dwi_file',
                                                        'bvec_file',
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index cd4eda34..e6b9840b 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -4,14 +4,6 @@ dmriprep.workflows.fieldmap package
 Submodules
 ----------
 
-dmriprep.workflows.fieldmap.ants module
----------------------------------------
-
-.. automodule:: dmriprep.workflows.fieldmap.ants
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 dmriprep.workflows.fieldmap.base module
 ---------------------------------------
 
diff --git a/docs/usage.rst b/docs/usage.rst
index 8cd43274..d4c3e902 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -17,7 +17,8 @@ a dwi series.
     bids
     └── sub-01
       ├── anat
-      │   └── sub-01_T1w.nii.gz
+      │   └── sub-01_T1w.json
+      │   └── sub-01_T1w.nii.gz
       ├── dwi
       │   ├── sub-01_dwi.bval
       │   ├── sub-01_dwi.bvec
@@ -54,5 +55,6 @@ Debugging
 Logs and crash files are output into the
 ``<output dir>/dmriprep/sub-<participant_label>/log`` directory.
 Information on how to customize and understand these files can be found on the
-`nipype debugging <http://nipype.readthedocs.io/en/latest/users/debug.html>`_
-page.
+`nipype errors and crashes <https://miykael.github.io/nipype_tutorial/notebooks/basic_error_and_crashes.html>`_
+and `nipype debugging <https://miykael.github.io/nipype_tutorial/notebooks/basic_debug.html>`_
+pages.

From af7da34d3b924b371df7f5f831fd5b5f4112ef38 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 07:04:33 -0400
Subject: [PATCH 143/156] update readme

---
 README.rst | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/README.rst b/README.rst
index 171acd4a..84f8be04 100644
--- a/README.rst
+++ b/README.rst
@@ -9,16 +9,20 @@ dmriprep
 .. image:: https://img.shields.io/travis/akeshavan/dmriprep.svg
         :target: https://travis-ci.org/akeshavan/dmriprep
 
+.. image:: https://api.codacy.com/project/badge/Grade/01a2d18ee62846e3817c6dccd7f8f5f1
+    :target: https://www.codacy.com/app/josephmje/dmriprep?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=josephmje/dmriprep&amp;utm_campaign=Badge_Grade
+    :alt: Codacy Badge
+
 .. image:: https://readthedocs.org/projects/dmriprep/badge/?version=latest
-        :target: https://dmriprep.readthedocs.io/en/latest/?badge=latest
+        :target: https://dmriprep-personal.readthedocs.io/en/latest/?badge=latest
         :alt: Documentation Status
 
 
-Preprocessing of neuroimaging data in preparation for AFQ analysis
-------------------------------------------------------------------
+Preprocessing of neuroimaging dwi data
+--------------------------------------
 
 * Free software: BSD license
-* Documentation: https://dmriprep.readthedocs.io.
+* Documentation: https://dmriprep-personal.readthedocs.io.
 
 Preparing your data
 -------------------
@@ -29,8 +33,8 @@ You should have raw data organized in the BIDS format. Also, you should have run
 
     bids
     ├── derivatives
-    │   └── sub-01
-    │       └── freesurfer
+    │   └── freesurfer
+    │       └── sub-01
     └── sub-01
       ├── dwi
       │   ├── sub-01_ses-01_dwi.bval

From 5d472a4ae019a1560f01c370d7c117ec0198f4a5 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 07:15:37 -0400
Subject: [PATCH 144/156] wip add brainsuite

---
 dmriprep/workflows/fieldmap/brainsuite.py | 36 ++++++++++++++++++++++-
 1 file changed, 35 insertions(+), 1 deletion(-)

diff --git a/dmriprep/workflows/fieldmap/brainsuite.py b/dmriprep/workflows/fieldmap/brainsuite.py
index af118050..ac6b8d51 100644
--- a/dmriprep/workflows/fieldmap/brainsuite.py
+++ b/dmriprep/workflows/fieldmap/brainsuite.py
@@ -1,6 +1,40 @@
+# -*- coding: utf-8 -*-
 
+"""
+SDC using BrainSuite
+^^^^^^^^^^^^^^^^^^^^
 
-# bfc -i $indir2/brain.nii.gz -o T1.bfc.nii.gz -v 1 -L 0.5 -U 1.5
+.. autofunction:: init_brainsuite_wf
+
+"""
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import brainsuite, utility as niu
+
+def init_fmap_wf():
+
+    wf = pe.Workflow(name='brainsuite_wf')
+
+    inputnode = pe.Node(
+        niu.IdentityInterface(
+            fields=[
+                'T1w',
+                'T1w_mask',
+                'dwi_file',
+                'dwi_mask']),
+        name='inputnode')
+
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=['out_fmap']), name='outputnode'
+    )
+
+    bias_corr = pe.Node(brainsuite.Bfc(minBias=0.5, maxBias=1.5), name='bias_corr')
+
+    bdp = pe.Node(brainsuite.BDP(), name='bdp')
+
+    wf.connect([])
+
+# bfc -i $indir2/brain.nii.gz -o T1.bfc.nii.gz
 
 # /KIMEL/tigrlab/quarantine/brainsuite/18a/build/bdp/bdp.sh \
 #   T1.bfc.nii.gz \

From 46c499366e549c0fdb19499e1601369e60b0ea1c Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 09:43:28 -0400
Subject: [PATCH 145/156] add t1 skullstrip workflow

---
 dmriprep/workflows/anatomical.py | 36 ++++++++++++++++++++++++++++++++
 docs/dmriprep.workflows.rst      |  8 +++++++
 2 files changed, 44 insertions(+)
 create mode 100644 dmriprep/workflows/anatomical.py

diff --git a/dmriprep/workflows/anatomical.py b/dmriprep/workflows/anatomical.py
new file mode 100644
index 00000000..1c05db1e
--- /dev/null
+++ b/dmriprep/workflows/anatomical.py
@@ -0,0 +1,36 @@
+# -*- coding: utf-8 -*-
+
+"""
+Orchestrating the T1w preprocessing workflows
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: init_anat_preproc_wf
+
+"""
+
+from nipype.pipeline import engine as pe
+from nipype.interfaces import utility as niu
+
+from niworkflows.anat.ants import init_brain_extraction_wf
+
+
+def init_anat_preproc_wf()
+    """
+    """
+
+    wf = pe.Workflow(name='init_anat_preproc_wf')
+
+    inputnode = pe.Node(niu.IdentityInterface(fields=['T1w_file']), name='inputnode')
+
+    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file']), name='outputnode')
+
+    t1_skullstrip = init_brain_extraction_wf()
+
+    to_list = lambda x: [x]
+
+    wf.connect([
+        (inputnode, t1_skullstrip, [(('t1_file', to_list), 'inputnode.in_files')]),
+        (t1_skullstrip, outputnode, [('outputnode.out_file', 'out_file')])
+    ])
+
+    return wf
diff --git a/docs/dmriprep.workflows.rst b/docs/dmriprep.workflows.rst
index 8dc264ff..c2d91d7e 100644
--- a/docs/dmriprep.workflows.rst
+++ b/docs/dmriprep.workflows.rst
@@ -12,6 +12,14 @@ Subpackages
 Submodules
 ----------
 
+dmriprep.workflows.anatomical module
+------------------------------------
+
+.. automodule:: dmriprep.workflows.anatomical
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.base module
 ------------------------------
 

From 1dff50496ad5ef2a8a7e791c4ad0617cbaba76e7 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 10:55:59 -0400
Subject: [PATCH 146/156] updated docs

---
 CONTRIBUTING.rst                          | 68 ++++++++++++++++++++
 dmriprep/workflows/anatomical.py          |  2 +-
 dmriprep/workflows/dwi/util.py            |  2 +-
 dmriprep/workflows/fieldmap/__init__.py   |  1 +
 dmriprep/workflows/fieldmap/brainsuite.py | 27 ++++----
 docs/dmriprep.workflows.fieldmap.rst      |  8 +++
 docs/workflows.rst                        | 77 ++++++++++++++++++++++-
 7 files changed, 167 insertions(+), 18 deletions(-)

diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index ef1860a7..10cc9a59 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -4,6 +4,74 @@
 Contributing
 ============
 
+.. code-block:: console
+
+    dmriprep
+    ├── CHANGES.rst
+    ├── CONTRIBUTING.rst
+    ├── dmriprep
+    │   ├── __about__.py
+    │   ├── cli.py
+    │   ├── data
+    │   │   ├── boilerplate.bib
+    |   |   ├── eddy_parameters
+    │   │   └── ENIGMA_targets
+    │   ├── due.py
+    │   ├── __init__.py
+    │   ├── interfaces
+    │   │   ├── fmap.py
+    │   │   ├── __init__.py
+    │   │   └── reportlets.py
+    │   ├── qc.py
+    │   ├── utils
+    │   │   ├── bids.py
+    │   │   ├── hemisphere.py
+    │   │   └── __init__.py
+    │   ├── _version.py
+    │   ├── viz
+    │   │   ├── __init__.py
+    │   │   └── utils.py
+    │   └── workflows
+    │       ├── anatomical.py
+    │       ├── base.py
+    │       ├── dwi
+    │       │   ├── __init__.py
+    │       │   ├── artifacts.py
+    │       │   ├── base.py
+    │       │   ├── eddy.py
+    │       │   ├── outputs.py
+    │       │   ├── qc.py
+    │       │   ├── tensor.py
+    │       │   └── util.py
+    │       ├── fieldmap
+    │       │   ├── __init__.py
+    │       │   ├── ants.py
+    │       │   ├── base.py
+    │       │   ├── brainsuite.py
+    │       │   ├── fmap.py
+    │       │   ├── pepolar.py
+    │       │   ├── phasediff.py
+    │       │   └── synb0.py
+    │       └── __init__.py
+    ├── Dockerfile
+    ├── docs
+    ├── LICENSE
+    ├── long_description.rst
+    ├── Makefile
+    ├── MANIFEST.in
+    ├── pyproject.toml
+    ├── README.rst
+    ├── REFERENCES.rst
+    ├── setup.cfg
+    ├── setup.py
+    ├── tests
+    │   ├── __init__.py
+    │   ├── test_dmriprep.py
+    │   └── test_utils.py
+    ├── tox.ini
+    ├── update_changes.sh
+    └── versioneer.py
+
 We love contributions! dmriprep is open source, built on open source,
 and we'd love to have you hang out in our community.
 
diff --git a/dmriprep/workflows/anatomical.py b/dmriprep/workflows/anatomical.py
index 1c05db1e..7101b8bf 100644
--- a/dmriprep/workflows/anatomical.py
+++ b/dmriprep/workflows/anatomical.py
@@ -14,7 +14,7 @@
 from niworkflows.anat.ants import init_brain_extraction_wf
 
 
-def init_anat_preproc_wf()
+def init_anat_preproc_wf():
     """
     """
 
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
index da50da5b..6555a5b3 100644
--- a/dmriprep/workflows/dwi/util.py
+++ b/dmriprep/workflows/dwi/util.py
@@ -22,7 +22,7 @@ def init_dwi_concat_wf(ref_file):
         :simple_form: yes
 
         from dmriprep.workflows.dwi import init_dwi_concat_wf
-        wf = init_dwi_artifacts_wf(ref_file='/madeup/path/sub-01_dwi.nii.gz')
+        wf = init_dwi_concat_wf(ref_file='/madeup/path/sub-01_dwi.nii.gz')
 
     **Parameters**
 
diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index 0b2ecddd..dd0a1ab6 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -4,3 +4,4 @@
 from .pepolar import init_pepolar_wf
 from .fmap import init_fmap_wf
 from .phasediff import init_phase_wf, init_phdiff_wf
+from .brainsuite import init_brainsuite_wf
diff --git a/dmriprep/workflows/fieldmap/brainsuite.py b/dmriprep/workflows/fieldmap/brainsuite.py
index ac6b8d51..aabe7440 100644
--- a/dmriprep/workflows/fieldmap/brainsuite.py
+++ b/dmriprep/workflows/fieldmap/brainsuite.py
@@ -11,7 +11,8 @@
 from nipype.pipeline import engine as pe
 from nipype.interfaces import brainsuite, utility as niu
 
-def init_fmap_wf():
+
+def init_brainsuite_wf():
 
     wf = pe.Workflow(name='brainsuite_wf')
 
@@ -21,7 +22,9 @@ def init_fmap_wf():
                 'T1w',
                 'T1w_mask',
                 'dwi_file',
-                'dwi_mask']),
+                'dwi_mask',
+                'bvec_file',
+                'bval_file']),
         name='inputnode')
 
     outputnode = pe.Node(
@@ -30,16 +33,14 @@ def init_fmap_wf():
 
     bias_corr = pe.Node(brainsuite.Bfc(minBias=0.5, maxBias=1.5), name='bias_corr')
 
+    # nipype spec doesn't have an output definition yet!
     bdp = pe.Node(brainsuite.BDP(), name='bdp')
 
-    wf.connect([])
-
-# bfc -i $indir2/brain.nii.gz -o T1.bfc.nii.gz
-
-# /KIMEL/tigrlab/quarantine/brainsuite/18a/build/bdp/bdp.sh \
-#   T1.bfc.nii.gz \
-#   --t1-mask $indir2/brainmaskautobet_mask.nii.gz \
-#   --nii $indir1/data.nii.gz \
-#   --dwi-mask $indir1/nodif_brain_mask.nii.gz \
-#   -b $indir1/bval.txt \
-#   -g $indir1/eddy_bvecs.txt
+    wf.connect([
+        (inputnode, bias_corr, [('T1w', 'inputMRIFile')]),
+        (bias_corr, bdp, [('outputMRIVolume', 'bfcFile'),
+                          ('T1w_mask', 't1Mask'),
+                          ('dwi_file', 'inputDiffusionData'),
+                          ('dwi_mask', 'dwiMask'),
+                          ('bvec_file', 'BVecBValPair')])
+    ])
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index e6b9840b..cd4eda34 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -4,6 +4,14 @@ dmriprep.workflows.fieldmap package
 Submodules
 ----------
 
+dmriprep.workflows.fieldmap.ants module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.ants
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.fieldmap.base module
 ---------------------------------------
 
diff --git a/docs/workflows.rst b/docs/workflows.rst
index a8104e97..1b8c9393 100644
--- a/docs/workflows.rst
+++ b/docs/workflows.rst
@@ -48,9 +48,6 @@ DWI preprocessing
     :graph2use: orig
     :simple_form: yes
 
-    from collections import namedtuple
-    from dmriprep.workflows.dwi import init_dwi_preproc_wf
-    BIDSLayout = namedtuple('BIDSLayout', ['root'])
     from collections import namedtuple
     from dmriprep.workflows.dwi import init_dwi_preproc_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
@@ -69,3 +66,77 @@ DWI preprocessing
     )
 
 Preprocessing of DWI files is split into multiple sub-workflows described below.
+
+Concatenating Scans
+^^^^^^^^^^^^^^^^^^^
+:mod:`dmriprep.workflows.dwi.util.init_dwi_concat_wf`
+
+By default, each scan in the ``dwi`` folder will get preprocessed separately. However,
+there are some cases where multiple scans should be concatenated before head motion,
+eddy current distortion and susceptibility distortion correction (eg. single-shell
+or multi-shell scan acquired in separate runs).
+
+.. code-block:: console
+
+    bids
+    └── sub-01
+      └── dwi
+          ├── sub-01_acq-multishelldir30b1000_dwi.nii.gz
+          ├── sub-01_acq-multishelldir30b3000_dwi.nii.gz
+          ├── sub-01_acq-multishelldir30b4500_dwi.nii.gz
+          └── sub-01_acq-singleshelldir60b1000_dwi.nii.gz
+
+In the above example, the multi-shell scans should be concatenated and the single-shell
+scan should be left alone. This is done
+
+``--concat_dwis multishelldir30b1000 multishelldir30b3000 multishelldir30b4500``
+
+
+.. workflow::
+    :graph2use: orig
+    :simple_form: yes
+
+    from dmriprep.workflows.dwi import init_dwi_concat_wf
+    wf = init_dwi_concat_wf(ref_file='/madeup/path/sub-01_dwi.nii.gz')
+
+Artifact Removal
+^^^^^^^^^^^^^^^^
+:mod:`dmriprep.workflows.dwi.artifacts.init_dwi_artifacts_wf`
+
+.. workflow::
+    :graph2use: orig
+    :simple_form: yes
+
+    from dmriprep.workflows.dwi import init_dwi_artifacts_wf
+    wf = init_dwi_artifacts_wf(ignore=[], output_resolution=(1, 1, 1))
+
+
+Susceptibility Distortion Correction (SDC)
+------------------------------------------
+
+Introduction
+^^^^^^^^^^^^
+
+Correction Methods
+^^^^^^^^^^^^^^^^^^
+
+1. topup
+2. fieldmap
+3. phasediff
+4. phase1/phase2
+5. nonlinear registration
+    - ants
+    - brainsuite
+6. synthetic b0
+
+The synb0 method is based off of this `paper <https://www.sciencedirect.com/science/article/abs/pii/S0730725X18306179/>`_. It offers an alternative method of SDC by using deep learning on an anatomical image (T1).
+You can use it in this pipeline by generating the synb0s for the subject(s) and passing the bids-like directory containing them to the --synb0_dir parameter. To find out how to generate the synb0s, you can visit our `forked repo <https://github.com/TIGRLab/Synb0-DISCO>`_.
+Once you have a directory of synb0s (recommended to place as derivatives of bids folder, ex. bids/derivatives/synb0/sub-XX), then you are ready to run the pipeline using them! Just run dmripreproc as you usually would, with bids_dir and output_dir, but now add "--synb0_dir <your_synb0_directory>" to your command.
+The synb0 acqp for topup and eddy will be automatically generated in the pipeline in the following format:
+
+..code-block:: console
+
+    0 -1 0 <total_readout_time>
+    0 1 0 0
+
+If you want to overwrite the total_readout_time with one of your own, simply add ``--total_readout <new_trt_time>`` to your command.

From a7e80958ca14054b48d67921e09d2c3765ef0e82 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 10:56:12 -0400
Subject: [PATCH 147/156] add enigma files

---
 .../data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz  | Bin 0 -> 3597008 bytes
 .../ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz  | Bin 0 -> 100759 bytes
 .../ENIGMA_DTI_FA_skeleton.nii.gz             | Bin 0 -> 475000 bytes
 .../ENIGMA_DTI_FA_skeleton_mask.nii.gz        | Bin 0 -> 152076 bytes
 .../ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz    | Bin 0 -> 937282 bytes
 5 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100755 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask.nii.gz
 create mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz

diff --git a/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz b/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
new file mode 100755
index 0000000000000000000000000000000000000000..e38863a85ec8d2fa8f770b1ea5444f1205ac6f4c
GIT binary patch
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diff --git a/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz b/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz
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HcmV?d00001


From b8cfa52cb3a4fcf26208aa99d7ee729312a34c14 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 10:56:44 -0400
Subject: [PATCH 148/156] move sdc to workflows

---
 docs/index.rst |  1 -
 docs/sdc.rst   | 34 ----------------------------------
 2 files changed, 35 deletions(-)
 delete mode 100644 docs/sdc.rst

diff --git a/docs/index.rst b/docs/index.rst
index 622b4a07..d35d1723 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -10,6 +10,5 @@
    changes
    usage
    workflows
-   sdc
    outputs
    contributing
diff --git a/docs/sdc.rst b/docs/sdc.rst
deleted file mode 100644
index 181f70da..00000000
--- a/docs/sdc.rst
+++ /dev/null
@@ -1,34 +0,0 @@
-Susceptibility Distortion Correction (SDC)
-------------------------------------------
-
-Introduction
-~~~~~~~~~~~~
-
-Correction Methods
-~~~~~~~~~~~~~~~~~~
-
-  1. topup
-
-  2. fieldmap
-
-  3. phasediff
-
-  4. phase1/phase2
-
-  5. nonlinear registration
-
-  6. synthetic b0
-  
-  The synb0 method is based off of this `paper <https://www.sciencedirect.com/science/article/abs/pii/S0730725X18306179/>`_. It offers an alternative method of SDC by using deep learning on an anatomical image (T1).
-  
-  You can use it in this pipeline by generating the synb0s for the subject(s) and passing the bids-like directory containing them to the --synb0_dir parameter. To find out how to generate the synb0s, you can visit our `forked repo <https://github.com/TIGRLab/Synb0-DISCO>`_.
-  
-  Once you have a directory of synb0s (recommended to place as derivatives of bids folder, ex. bids/derivatives/synb0/sub-XX), then you are ready to run the pipeline using them! Just run dmripreproc as you usually would, with bids_dir and output_dir, but now add "--synb0_dir <your_synb0_directory>" to your command. 
-    
-  The synb0 acqp for topup and eddy will be automatically generated in the pipeline in the following format:
-  
-  0 -1 0 <total_readout_time>
-  
-  0 1 0 0
-  
-  If you want to overwrite the total_readout_time with one of your own, simply add "--total_readout <new_trt_time>" to your command.

From 4fa272aa3edbc9c6229f791ceeca1d86a8d52149 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 12:40:29 -0400
Subject: [PATCH 149/156] update docs

---
 docs/dmriprep.workflows.fieldmap.rst |  8 ------
 docs/workflows.rst                   | 40 +++++++---------------------
 2 files changed, 9 insertions(+), 39 deletions(-)

diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index cd4eda34..e6b9840b 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -4,14 +4,6 @@ dmriprep.workflows.fieldmap package
 Submodules
 ----------
 
-dmriprep.workflows.fieldmap.ants module
----------------------------------------
-
-.. automodule:: dmriprep.workflows.fieldmap.ants
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 dmriprep.workflows.fieldmap.base module
 ---------------------------------------
 
diff --git a/docs/workflows.rst b/docs/workflows.rst
index 1b8c9393..dbfd6f2c 100644
--- a/docs/workflows.rst
+++ b/docs/workflows.rst
@@ -12,26 +12,16 @@ A (very) high-level view of the simplest pipeline is presented below.
     from collections import namedtuple, OrderedDict
     from dmriprep.workflows.base import init_single_subject_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
-    wf = init_single_subject_wf(
-        subject_id='test',
-        session_list=[],
-        name='single_subject_wf',
-        layout=BIDSLayout,
-        output_dir='.',
-        work_dir='.',
-        ignore=[],
-        b0_thresh=5,
-        output_resolution=(1, 1, 1),
-        bet_dwi=0.3,
-        bet_mag=0.3,
-        omp_nthreads=1,
-        synb0_dir=''
-    )
+    wf = init_single_subject_wf(subject_id='test', session_list=[], name='single_subject_wf', layout=BIDSLayout, output_dir='.', work_dir='.', ignore=[], b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, synb0_dir='')
 
 T1w preprocessing
 -----------------
 :mod:`dmriprep.workflows.anatomical.init_anat_preproc_wf`
 
+The T1w preprocessing workflow skull strips the T1w scan for later use in
+tractography or susceptibility distortion correction if using ANTs or
+BrainSuite. It uses ``init_brain_extraction_wf`` from `niworkflows`
+
 .. workflow::
     :graph2use: orig
     :simple_form: yes
@@ -44,6 +34,8 @@ DWI preprocessing
 -----------------
 :mod:`dmriprep.workflows.dwi.base.init_dwi_preproc_wf`
 
+Preprocessing of DWI files is split into multiple sub-workflows described below.
+
 .. workflow::
     :graph2use: orig
     :simple_form: yes
@@ -51,21 +43,7 @@ DWI preprocessing
     from collections import namedtuple
     from dmriprep.workflows.dwi import init_dwi_preproc_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
-    wf = init_dwi_preproc_wf(
-        layout=BIDSLayout('.'),
-        subject_id='dmripreptest',
-        dwi_file='/madeup/path/sub-01_dwi.nii.gz',
-        metadata={},
-        b0_thresh=5,
-        output_resolution=(1, 1, 1),
-        bet_dwi=0.3,
-        bet_mag=0.3,
-        omp_nthreads=1,
-        ignore=[],
-        synb0_dir='.'
-    )
-
-Preprocessing of DWI files is split into multiple sub-workflows described below.
+    wf = init_dwi_preproc_wf(layout=BIDSLayout('.'), subject_id='dmripreptest', dwi_file='/madeup/path/sub-01_dwi.nii.gz', metadata={'PhaseEncodingDirection': '-j', 'TotalReadoutTime': 0.001}, b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, ignore=[], synb0_dir='')
 
 Concatenating Scans
 ^^^^^^^^^^^^^^^^^^^
@@ -134,7 +112,7 @@ You can use it in this pipeline by generating the synb0s for the subject(s) and
 Once you have a directory of synb0s (recommended to place as derivatives of bids folder, ex. bids/derivatives/synb0/sub-XX), then you are ready to run the pipeline using them! Just run dmripreproc as you usually would, with bids_dir and output_dir, but now add "--synb0_dir <your_synb0_directory>" to your command.
 The synb0 acqp for topup and eddy will be automatically generated in the pipeline in the following format:
 
-..code-block:: console
+.. code-block:: console
 
     0 -1 0 <total_readout_time>
     0 1 0 0

From 5d88e422ad3a843c006b71de47cfdd618977a1d4 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Wed, 4 Sep 2019 15:45:10 -0400
Subject: [PATCH 150/156] update docs

---
 CHANGES.rst                          |   1 +
 dmriprep/workflows/dwi/base.py       | 103 +++++++--------------
 docs/dmriprep.workflows.fieldmap.rst |   8 ++
 docs/outputs.rst                     |  28 ++++++
 docs/workflows.rst                   | 133 ++++++++++++++++++++++-----
 5 files changed, 181 insertions(+), 92 deletions(-)

diff --git a/CHANGES.rst b/CHANGES.rst
index befe25df..82f0242b 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -4,6 +4,7 @@ Upcoming release (TBD)
 0.2.0 (September 6, 2019)
 =======================
 
+  * ENH: Add workflows for ANTs and BrainSuite nonlinear registration-based distortion correction
   * ENH: Add workflow for concatenating dwi scans based on ``--concat_dwis`` list
   * ENH: Enable parallel processing of nodes
   * ENH: Run ``bids-validator`` before pipeline start
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 2e231644..404acc2a 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -44,21 +44,7 @@ def init_dwi_preproc_wf(
         from collections import namedtuple
         from dmriprep.workflows.dwi import init_dwi_preproc_wf
         BIDSLayout = namedtuple('BIDSLayout', ['root'])
-        wf = init_dwi_preproc_wf(
-            layout=BIDSLayout('.'),
-            output_dir='.',
-            subject_id='dmripreptest',
-            dwi_file='/madeup/path/sub-01_dwi.nii.gz',
-            metadata={},
-            b0_thresh=5,
-            output_resolution=(1, 1, 1),
-            bet_dwi=0.3,
-            bet_mag=0.3,
-            acqp_file='',
-            omp_nthreads=1,
-            ignore=[],
-            synb0_dir=''
-        )
+        wf = init_dwi_preproc_wf(layout=BIDSLayout('.'), output_dir='.', subject_id='dmripreptest', dwi_file='/madeup/path/sub-01_dwi.nii.gz', metadata={'PhaseEncodingDirection': 'j-', 'TotalReadoutTime': 0.05}, b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, acqp_file='', omp_nthreads=1, ignore=['fieldmaps'], synb0_dir='')
 
     """
 
@@ -314,7 +300,6 @@ def get_b0_mask_fn(b0_file):
                           ('bvec_file', 'in_bvec')]),
         (bet_dwi0, ecc, [('mask_file', 'in_mask')]),
         (gen_idx, ecc, [('out_file', 'in_index')]),
-        (acqp, ecc, [('out_file', 'in_acqp')]),
         (ecc, denoise_eddy, [('out_corrected', 'in_file')]),
         (ecc, bias_correct, [('out_corrected', 'in_file'),
                              ('out_rotated_bvecs', 'in_bvec')]),
@@ -327,13 +312,21 @@ def get_b0_mask_fn(b0_file):
         (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
         (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
         (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
-        (acqp, eddy_quad, [('out_file', 'param_file')]),
         (inputnode, tensor_wf, [('bval_file', 'inputnode.bval_file')]),
         (b0mask_node, tensor_wf, [('mask_file', 'inputnode.mask_file')]),
         (ecc, tensor_wf, [('out_corrected', 'inputnode.dwi_file'),
                           ('out_rotated_bvecs', 'inputnode.bvec_file')])
     ])
 
+    if acqp_file:
+        ecc.inputs.in_acqp = acqp_file
+        eddy_quad.inputs.param_file = acqp_file
+    else:
+        dwi_wf.connect([
+            (acqp, ecc, [('out_file', 'in_acqp')]),
+            (acqp, eddy_quad, [('out_file', 'param_file')])
+        ])
+
     # # If synb0 is meant to be used
     # if synb0_dir:
     #     dwi_wf.connect(
@@ -360,63 +353,35 @@ def get_b0_mask_fn(b0_file):
     fmap = fmaps[0]
     # Else If epi files detected
     if fmap['suffix'] == 'epi':
-        dwi_wf.connect(
-            [
-                (
-                    sdc_wf,
-                    ecc,
-                    [
-                        ('outputnode.out_topup', 'in_topup_fieldcoef'),
-                        #('outputnode.out_enc_file', 'in_acqp'),
-                        ('outputnode.out_movpar', 'in_topup_movpar'),
-                    ],
-                ),
-                # (
-                #     sdc_wf,
-                #     eddy_quad,
-                #     [('outputnode.out_enc_file', 'param_file')],
-                # ),
-            ]
-        )
+        dwi_wf.connect([
+            (sdc_wf, ecc, [('outputnode.out_topup', 'in_topup_fieldcoef'),
+                           ('outputnode.out_movpar', 'in_topup_movpar')])
+        ])
     # Otherwise (fieldmaps)
     else:
         dwi_wf.connect([
             (bet_dwi0, sdc_wf, [('out_file', 'inputnode.b0_stripped')]),
-            (sdc_wf, ecc, [('outputnode.out_fmap', 'field')]),
-                #(acqp, ecc, [('out_file', 'in_acqp')]),
-                # (acqp, eddy_quad, [('out_file', 'param_file')]),
-            ]
-        )
+            (sdc_wf, ecc, [('outputnode.out_fmap', 'field')])
+        ])
 
-    dwi_wf.connect(
-        [
-            (ecc, outputnode, [('out_corrected', 'out_dwi')]),
-            (inputnode, outputnode, [('bval_file', 'out_bval')]),
-            (ecc, outputnode, [('out_rotated_bvecs', 'out_bvec')]),
-            (gen_idx, outputnode, [('out_file', 'index')]),
-            (acqp, outputnode, [('out_file', 'acq_params')]),
-            (b0mask_node, outputnode, [('mask_file', 'out_mask')]),
-            (avg_b0_0, outputnode, [('out_file', 'out_b0_pre')]),
-            (bet_dwi0, outputnode, [('mask_file', 'out_b0_mask_pre')]),
-            (
-                eddy_quad,
-                outputnode,
-                [('qc_json', 'out_eddy_quad_json'), ('qc_pdf', 'out_eddy_quad_pdf')],
-            ),
-            (
-                tensor_wf,
-                outputnode,
-                [
-                    ('outputnode.FA_file', 'out_dtifit_FA'),
-                    ('outputnode.MD_file', 'out_dtifit_MD'),
-                    ('outputnode.AD_file', 'out_dtifit_AD'),
-                    ('outputnode.RD_file', 'out_dtifit_RD'),
-                    ('outputnode.V1_file', 'out_dtifit_V1'),
-                    ('outputnode.sse_file', 'out_dtifit_sse'),
-                ],
-            ),
-        ]
-    )
+    dwi_wf.connect([
+        (ecc, outputnode, [('out_corrected', 'out_dwi')]),
+        (inputnode, outputnode, [('bval_file', 'out_bval')]),
+        (ecc, outputnode, [('out_rotated_bvecs', 'out_bvec')]),
+        (gen_idx, outputnode, [('out_file', 'index')]),
+        (acqp, outputnode, [('out_file', 'acq_params')]),
+        (b0mask_node, outputnode, [('mask_file', 'out_mask')]),
+        (avg_b0_0, outputnode, [('out_file', 'out_b0_pre')]),
+        (bet_dwi0, outputnode, [('mask_file', 'out_b0_mask_pre')]),
+        (eddy_quad, outputnode, [('qc_json', 'out_eddy_quad_json'),
+                                 ('qc_pdf', 'out_eddy_quad_pdf')]),
+        (tensor_wf, outputnode, [('outputnode.FA_file', 'out_dtifit_FA'),
+                                 ('outputnode.MD_file', 'out_dtifit_MD'),
+                                 ('outputnode.AD_file', 'out_dtifit_AD'),
+                                 ('outputnode.RD_file', 'out_dtifit_RD'),
+                                 ('outputnode.V1_file', 'out_dtifit_V1'),
+                                 ('outputnode.sse_file', 'out_dtifit_sse')])
+    ])
 
     return dwi_wf
 
diff --git a/docs/dmriprep.workflows.fieldmap.rst b/docs/dmriprep.workflows.fieldmap.rst
index e6b9840b..cd4eda34 100644
--- a/docs/dmriprep.workflows.fieldmap.rst
+++ b/docs/dmriprep.workflows.fieldmap.rst
@@ -4,6 +4,14 @@ dmriprep.workflows.fieldmap package
 Submodules
 ----------
 
+dmriprep.workflows.fieldmap.ants module
+---------------------------------------
+
+.. automodule:: dmriprep.workflows.fieldmap.ants
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 dmriprep.workflows.fieldmap.base module
 ---------------------------------------
 
diff --git a/docs/outputs.rst b/docs/outputs.rst
index e1946909..1b449523 100644
--- a/docs/outputs.rst
+++ b/docs/outputs.rst
@@ -16,3 +16,31 @@ Preprocessed data (dMRIPrep *derivatives*)
 Anatomical derivatives are placed in each subject's ``anat`` subfolder:
 
 Diffusion derivatives are stored in the ``dwi`` subfolder.
+
+.. code-block:: console
+
+    dmriprep/
+      sub-001/
+        ses-01/
+          dwi/
+            # preprocessed diffusion weighted images
+            sub-001_ses-01_desc-preproc.dwi.nii.gz
+            sub-001_ses-01_desc-preproc.dwi.bval
+            sub-001_ses-01_desc-preproc.dwi.bvec
+            sub-001_ses-01_desc-preproc.dwi.json
+            # mask
+            sub-001_ses-01_desc-brain_mask.nii.gz
+            # model-derived maps
+            sub-001_ses-01_model-DTI_desc-preproc_FA.nii.gz
+            sub-001_ses-01_model-DTI_desc-preproc_MD.nii.gz
+            sub-001_ses-01_model-DTI_desc-preproc_AD.nii.gz
+            sub-001_ses-01_model-DTI_desc-preproc_RD.nii.gz
+            # directionally-encoded colour (DEC) maps
+            sub-001_ses-01_model-DTI_desc-DEC_FA.nii.gz
+            # grey/white matter masks
+            sub-001_ses-01_desc-aparcaseg_dseg.nii.gz
+            sub-001_ses-01_desc-aseg_dseg.nii.gz
+          anat/
+      dataset_description.json
+      sub-001.html
+      index.html
diff --git a/docs/workflows.rst b/docs/workflows.rst
index dbfd6f2c..471f5f38 100644
--- a/docs/workflows.rst
+++ b/docs/workflows.rst
@@ -1,7 +1,8 @@
 Processing pipeline details
 ===========================
 
-dMRIprep adapts its pipeline depending on what data and metadata are available and are used as the input.
+dMRIprep adapts its pipeline depending on what data and metadata are available
+and are used as the input.
 
 A (very) high-level view of the simplest pipeline is presented below.
 
@@ -12,7 +13,7 @@ A (very) high-level view of the simplest pipeline is presented below.
     from collections import namedtuple, OrderedDict
     from dmriprep.workflows.base import init_single_subject_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
-    wf = init_single_subject_wf(subject_id='test', session_list=[], name='single_subject_wf', layout=BIDSLayout, output_dir='.', work_dir='.', ignore=[], b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, synb0_dir='')
+    wf = init_single_subject_wf(subject_id='test', session_list=[], name='single_subject_wf', layout=BIDSLayout, output_dir='.', work_dir='.', ignore=['fieldmaps'], b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, synb0_dir='')
 
 T1w preprocessing
 -----------------
@@ -20,15 +21,15 @@ T1w preprocessing
 
 The T1w preprocessing workflow skull strips the T1w scan for later use in
 tractography or susceptibility distortion correction if using ANTs or
-BrainSuite. It uses ``init_brain_extraction_wf`` from `niworkflows`
+BrainSuite. It uses ``init_brain_extraction_wf`` from
+`niworkflows <https://github.com/poldracklab/niworkflows/blob/d5904a15201f99ce58a00774d1bfcdd9ea661371/niworkflows/anat/ants.py#L58>`_.
 
 .. workflow::
     :graph2use: orig
     :simple_form: yes
 
-    from collections import OrderedDict
-    from dmriprep.workflows.anatomical import init_anat_preproc_wf
-    wf = init_anat_preproc_wf()
+    from niworkflows.anat.ants import init_brain_extraction_wf
+    wf = init_brain_extraction_wf()
 
 DWI preprocessing
 -----------------
@@ -43,16 +44,16 @@ Preprocessing of DWI files is split into multiple sub-workflows described below.
     from collections import namedtuple
     from dmriprep.workflows.dwi import init_dwi_preproc_wf
     BIDSLayout = namedtuple('BIDSLayout', ['root'])
-    wf = init_dwi_preproc_wf(layout=BIDSLayout('.'), subject_id='dmripreptest', dwi_file='/madeup/path/sub-01_dwi.nii.gz', metadata={'PhaseEncodingDirection': '-j', 'TotalReadoutTime': 0.001}, b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, ignore=[], synb0_dir='')
+    wf = init_dwi_preproc_wf(layout=BIDSLayout('.'), subject_id='dmripreptest', dwi_file='/madeup/path/sub-01_dwi.nii.gz', metadata={'PhaseEncodingDirection': 'j-', 'TotalReadoutTime': 0.05}, b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, omp_nthreads=1, ignore=['fieldmaps'], synb0_dir='')
 
 Concatenating Scans
 ^^^^^^^^^^^^^^^^^^^
 :mod:`dmriprep.workflows.dwi.util.init_dwi_concat_wf`
 
-By default, each scan in the ``dwi`` folder will get preprocessed separately. However,
-there are some cases where multiple scans should be concatenated before head motion,
-eddy current distortion and susceptibility distortion correction (eg. single-shell
-or multi-shell scan acquired in separate runs).
+By default, each scan in the ``dwi`` folder will get preprocessed separately.
+However, there are some cases where multiple scans should be concatenated before
+head motion, eddy current distortion and susceptibility distortion correction
+(eg. single-shell or multi-shell scan acquired in separate runs).
 
 .. code-block:: console
 
@@ -64,15 +65,18 @@ or multi-shell scan acquired in separate runs).
           ├── sub-01_acq-multishelldir30b4500_dwi.nii.gz
           └── sub-01_acq-singleshelldir60b1000_dwi.nii.gz
 
-In the above example, the multi-shell scans should be concatenated and the single-shell
-scan should be left alone. This is done
+In the above example, the multi-shell scans should be concatenated and the
+single-shell scan should be left alone. This is done by using the
+``--concat_dwis`` flag as shown below:
 
 ``--concat_dwis multishelldir30b1000 multishelldir30b3000 multishelldir30b4500``
 
+The unique ``acq`` entities are passed on so this pipeline knows which scans to
+concatenate. The associated bvecs and bvals are also concatenated.
 
 .. workflow::
-    :graph2use: orig
-    :simple_form: yes
+    :graph2use: flat
+    :simple_form: no
 
     from dmriprep.workflows.dwi import init_dwi_concat_wf
     wf = init_dwi_concat_wf(ref_file='/madeup/path/sub-01_dwi.nii.gz')
@@ -81,13 +85,37 @@ Artifact Removal
 ^^^^^^^^^^^^^^^^
 :mod:`dmriprep.workflows.dwi.artifacts.init_dwi_artifacts_wf`
 
+By default, dMRIPrep performs denoising and unringing on each dwi scan. These
+steps can be skipped by passing ``--ignore denoising unringing`` in the command line.
+
 .. workflow::
-    :graph2use: orig
-    :simple_form: yes
+    :graph2use: flat
+    :simple_form: no
 
     from dmriprep.workflows.dwi import init_dwi_artifacts_wf
     wf = init_dwi_artifacts_wf(ignore=[], output_resolution=(1, 1, 1))
 
+Motion and Susceptibility Correction
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+:mod:`dmriprep.workflows.dwi.eddy.init_dwi_eddy_wf`
+
+.. workflow::
+    :graph2use: flat
+    :simple_form: no
+
+    from dmriprep.workflows.dwi import init_dwi_eddy_wf
+    wf = init_dwi_eddy_wf(1, 'topup')
+
+Tensor Estimates
+^^^^^^^^^^^^^^^^
+:mod:`dmriprep.workflows.dwi.tensor.init_dwi_tensor_wf`
+
+.. workflow::
+    :graph2use: flat
+    :simple_form: no
+
+    from dmriprep.workflows.dwi import init_dwi_tensor_wf
+    wf = init_dwi_tensor_wf()
 
 Susceptibility Distortion Correction (SDC)
 ------------------------------------------
@@ -103,18 +131,77 @@ Correction Methods
 3. phasediff
 4. phase1/phase2
 5. nonlinear registration
-    - ants
-    - brainsuite
 6. synthetic b0
 
+Topup
+~~~~~
+:mod:`dmriprep.workflows.fieldmap.pepolar.init_pepolar_wf`
+
+.. workflow::
+    :graph2use: flat
+    :simple_form: no
+
+    from dmriprep.workflows.fieldmap import init_pepolar_wf
+    wf = init_pepolar_wf('dmripreptest', 0.3, ['/madeup/path/sub-01_dir-AP_epi.nii.gz', '/madeup/path/sub-01_dir-PA_epi.nii.gz'])
+
+Fieldmap
+~~~~~~~~
+:mod:`dmriprep.workflows.fieldmap.fmap.init_fmap_wf`
+
+All of the fieldmap-related workflows end with ``init_fmap_wf``. Depending on
+the type of fieldmap, other upstream workflows are run. If a phasediff scan is
+given, the phasediff is converted to a proper fieldmap using ``fsl_prepare_fieldmap``.
+If phase1 and phase2 scans are given, they are first converted to a phasediff scan.
+The code for this conversion was derived from `sdcflows <https://github.com/poldracklab/sdcflows/pull/30`_
+and tested on the PNC dataset.
+
+.. workflow::
+    :graph2use: flat
+    :simple_form: no
+
+    from dmriprep.workflows.fieldmap import init_fmap_wf
+    wf = init_fmap_wf(0.3)
+
+Phasediff
+~~~~~~~~~
+:mod:`dmriprep.workflows.fieldmap.phasediff.init_phdiff_wf`
+
+.. workflow::
+    :graph2use: flat
+    :simple_form: no
+
+    from dmriprep.workflows.fieldmap import init_phdiff_wf
+    wf = init_phdiff_wf(0.3)
+
+Phase1/Phase2
+~~~~~~~~~~~~~
+:mod:`dmriprep.workflows.fieldmap.phasediff.init_phase_wf`
+
+.. workflow::
+    :graph2use: flat
+    :simple_form: no
+
+    from dmriprep.workflows.fieldmap import init_phase_wf
+    wf = init_phase_wf(0.3)
+
+Synthetic b0
+~~~~~~~~~~~~
 The synb0 method is based off of this `paper <https://www.sciencedirect.com/science/article/abs/pii/S0730725X18306179/>`_. It offers an alternative method of SDC by using deep learning on an anatomical image (T1).
-You can use it in this pipeline by generating the synb0s for the subject(s) and passing the bids-like directory containing them to the --synb0_dir parameter. To find out how to generate the synb0s, you can visit our `forked repo <https://github.com/TIGRLab/Synb0-DISCO>`_.
-Once you have a directory of synb0s (recommended to place as derivatives of bids folder, ex. bids/derivatives/synb0/sub-XX), then you are ready to run the pipeline using them! Just run dmripreproc as you usually would, with bids_dir and output_dir, but now add "--synb0_dir <your_synb0_directory>" to your command.
-The synb0 acqp for topup and eddy will be automatically generated in the pipeline in the following format:
+You can use it in this pipeline by generating the synb0s for the subject(s) and
+passing the bids-like directory containing them to the --synb0_dir parameter.
+To find out how to generate the synb0s, you can visit our
+`forked repo <https://github.com/TIGRLab/Synb0-DISCO>`_.
+Once you have a directory of synb0s (recommended to place as derivatives of
+bids folder, ex. bids/derivatives/synb0/sub-XX), then you are ready to run the
+pipeline using them! Just run dmriprep as you usually would, with ``bids_dir``
+and ``output_dir``, but now add ``--synb0_dir <your_synb0_directory>`` to your command.
+The synb0 acquisition parameters for topup and eddy will be automatically generated in the
+pipeline in the following format:
 
 .. code-block:: console
 
     0 -1 0 <total_readout_time>
     0 1 0 0
 
-If you want to overwrite the total_readout_time with one of your own, simply add ``--total_readout <new_trt_time>`` to your command.
+If you want to overwrite the total_readout_time with one of your own,
+simply add ``--total_readout <new_trt_time>`` to your command.

From 24e20a6f18d7f6186edddcc9edefe3bbd0be83e6 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 5 Sep 2019 16:08:31 -0400
Subject: [PATCH 151/156] add probot apps and update docs

---
 .github/config.yml          | 29 +++++++++++++++++++++++++++++
 .github/release-drafter.yml |  5 +++++
 .github/stale.yml           | 20 ++++++++++++++++++++
 .travis.yml                 |  2 +-
 CONTRIBUTING.rst            |  4 ++--
 README.rst                  |  2 +-
 dmriprep/__about__.py       |  4 ++--
 docs/installation.rst       | 10 +++++-----
 docs/license.rst            |  2 +-
 setup.cfg                   | 10 +++++-----
 10 files changed, 71 insertions(+), 17 deletions(-)
 create mode 100644 .github/config.yml
 create mode 100644 .github/release-drafter.yml
 create mode 100644 .github/stale.yml

diff --git a/.github/config.yml b/.github/config.yml
new file mode 100644
index 00000000..6bfc0d3d
--- /dev/null
+++ b/.github/config.yml
@@ -0,0 +1,29 @@
+# Configuration for new-pr-welcome - https://github.com/behaviorbot/new-pr-welcome
+
+# Comment to be posted to on PRs from first time contributors in your repository
+newPRWelcomeComment: >
+  Thanks for opening this pull request!
+  We have detected this is the first time for you to contribute
+  to *dMRIPrep*.
+  Please check out our [contributing guidelines](https://github.com/nipy/dmriprep/blob/master/CONTRIBUTING.rst).
+
+  We invite you to list yourself as a *dMRIPrep* contributor, so if your name
+  is not already mentioned, please modify the
+  [``.zenodo.json``](https://github.com/nipy/dmriprep/blob/master/.zenodo.json)
+  file with your data right above Anisha's entry. Example:
+  ```
+  {
+     "name": "Contributor, New dMRIPrep",
+     "affiliation": "Department of dMRI prep'ing, Open Science Made-Up University",
+     "orcid": "<your id>"
+  },
+  {
+      "name": "Keshavan, Anisha",
+      "affiliation": "Child Mind Institute",
+      "orcid": "0000-0003-3554-043X"
+  },
+  ```
+  Of course, if you want to opt-out this time there is no
+  problem at all with adding your name later.
+  You will be always welcome to add it in the future whenever
+  you feel it should be listed.
diff --git a/.github/release-drafter.yml b/.github/release-drafter.yml
new file mode 100644
index 00000000..075f95b6
--- /dev/null
+++ b/.github/release-drafter.yml
@@ -0,0 +1,5 @@
+template: |
+  ## Release Notes
+
+  ## CHANGES
+  $CHANGES
diff --git a/.github/stale.yml b/.github/stale.yml
new file mode 100644
index 00000000..28e0d5c1
--- /dev/null
+++ b/.github/stale.yml
@@ -0,0 +1,20 @@
+# Number of days of inactivity before an issue becomes stale
+daysUntilStale: 900
+# Number of days of inactivity before a stale issue is closed
+daysUntilClose: 200
+# Issues with these labels will never be considered stale
+exemptLabels:
+  - pinned
+  - security
+  - feature
+  - help wanted
+  - low priority
+# Label to use when marking an issue as stale
+staleLabel: stale
+# Comment to post when marking an issue as stale. Set to `false` to disable
+markComment: >
+  This issue has been automatically marked as stale because it has not had
+  recent activity. It will be closed if no further activity occurs. Thank you
+  for your contributions.
+# Comment to post when closing a stale issue. Set to `false` to disable
+closeComment: false
diff --git a/.travis.yml b/.travis.yml
index 24e4f339..293b1af1 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -26,7 +26,7 @@ script: tox
 deploy:
   provider: pypi
   distributions: sdist bdist_wheel
-  user: josephmje
+  user: nipy
   password:
     secure: PLEASE_REPLACE_ME
   on:
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 10cc9a59..a5db05f8 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -123,7 +123,7 @@ You can contribute in many ways:
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/josephmje/dmriprep/issues.
+Report bugs at https://github.com/nipy/dmriprep/issues.
 
 If you are reporting a bug, please include:
 
@@ -153,7 +153,7 @@ articles, and such.
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/josephmje/dmriprep/issues.
+The best way to send feedback is to file an issue at https://github.com/nipy/dmriprep/issues.
 
 If you are proposing a feature:
 
diff --git a/README.rst b/README.rst
index 84f8be04..499eaf2d 100644
--- a/README.rst
+++ b/README.rst
@@ -10,7 +10,7 @@ dmriprep
         :target: https://travis-ci.org/akeshavan/dmriprep
 
 .. image:: https://api.codacy.com/project/badge/Grade/01a2d18ee62846e3817c6dccd7f8f5f1
-    :target: https://www.codacy.com/app/josephmje/dmriprep?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=josephmje/dmriprep&amp;utm_campaign=Badge_Grade
+    :target: https://www.codacy.com/app/nipy/dmriprep?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=nipy/dmriprep&amp;utm_campaign=Badge_Grade
     :alt: Codacy Badge
 
 .. image:: https://readthedocs.org/projects/dmriprep/badge/?version=latest
diff --git a/dmriprep/__about__.py b/dmriprep/__about__.py
index bac31a9c..5b4f1ff1 100644
--- a/dmriprep/__about__.py
+++ b/dmriprep/__about__.py
@@ -8,10 +8,10 @@
 __packagename__ = 'dmriprep'
 __credits__ = ('Contributors: please check the ``.zenodo.json`` file at the'
                'top-level folder of the repository')
-__url__ = 'https://github.com/josephmje/dmriprep'
+__url__ = 'https://github.com/nipy/dmriprep'
 
 DOWNLOAD_URL = (
-    'https://github.com/josephmje/dmriprep/{name}/archive/{ver}.tar.gz'.format(
+    'https://github.com/nipy/dmriprep/{name}/archive/{ver}.tar.gz'.format(
         name=__packagename__, ver=__version__
     )
 )
diff --git a/docs/installation.rst b/docs/installation.rst
index 30a79118..2c94a180 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -9,7 +9,7 @@ Docker Container
 
 .. code-block:: console
 
-    $ git clone https://github.com/josephmje/dmriprep
+    $ git clone https://github.com/nipy/dmriprep
     $ cd dmriprep
     $ make docker
 
@@ -67,13 +67,13 @@ You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/josephmje/dmriprep
+    $ git clone git://github.com/nipy/dmriprep
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/josephmje/dmriprep/tarball/master
+    $ curl  -OL https://github.com/nipy/dmriprep/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -82,8 +82,8 @@ Once you have a copy of the source, you can install it with:
     $ python setup.py install
 
 
-.. _Github repo: https://github.com/josephmje/dmriprep
-.. _tarball: https://github.com/josephmje/dmriprep/tarball/master
+.. _Github repo: https://github.com/nipy/dmriprep
+.. _tarball: https://github.com/nipy/dmriprep/tarball/master
 
 External Dependencies
 ---------------------
diff --git a/docs/license.rst b/docs/license.rst
index 3a7338ad..2c1de27b 100644
--- a/docs/license.rst
+++ b/docs/license.rst
@@ -2,7 +2,7 @@ License information
 -------------------
 
 We use the 3-clause BSD license; the full license may be found in the
-`LICENSE <https://github.com/josephmje/dmriprep/blob/master/LICENSE>`_ file
+`LICENSE <https://github.com/nipy/dmriprep/blob/master/LICENSE>`_ file
 in the ``dmriprep`` distribution.
 
 All trademarks referenced herein are property of their respective holders.
diff --git a/setup.cfg b/setup.cfg
index e5d01c51..0b64a684 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,9 +1,9 @@
 [metadata]
-url = https://github.com/josephmje/dmriprep
-author = TIGR Lab
-author_email = michael.joseph@camh.ca
-maintainer = Michael Joseph
-maintainer_email = michael.joseph@camh.ca
+url = https://github.com/nipy/dmriprep
+author = The Nipy developers
+author_email = code@oscaresteban.es
+maintainer = Oscar Esteban
+maintainer_email = code@oscaresteban.es
 description = dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
 long_description = file:long_description.rst
 long_description_content_type = text/x-rst; charset=UTF-8

From 3a542703b557da7efc92214740452bea5975d5c5 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Thu, 5 Sep 2019 16:09:10 -0400
Subject: [PATCH 152/156] add ants and brainsuite cli options and move eddy to
 separate workflow

---
 dmriprep/cli.py                         |  18 +++
 dmriprep/workflows/base.py              |  70 ++++++------
 dmriprep/workflows/dwi/base.py          | 139 +++++++++++++++---------
 dmriprep/workflows/fieldmap/__init__.py |   2 +-
 dmriprep/workflows/fieldmap/base.py     |  14 +--
 5 files changed, 149 insertions(+), 94 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 3fdb1dfc..9f8696e3 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -128,6 +128,20 @@
     type=click.Choice(['denoising', 'unringing', 'fieldmaps']),
     multiple=True
 )
+@click.option(
+    '--use_ants',
+    is_flag=True,
+    default=False,
+    help='Use ANTs SDC',
+    type=bool
+)
+@click.option(
+    '--use_brainsuite',
+    is_flag=True,
+    default=False,
+    help='Use BrainSuite SDC',
+    type=bool
+)
 @click.option(
     '--work_dir',
     '-w',
@@ -163,6 +177,8 @@ def main(
     nthreads,
     omp_nthreads,
     ignore,
+    use_ants,
+    use_syn,
     work_dir,
     synb0_dir,
     write_graph
@@ -247,6 +263,8 @@ def main(
         acqp_file=acqp_file,
         omp_nthreads=omp_nthreads,
         ignore=list(ignore),
+        use_ants=use_ants,
+        use_brainsuite=use_brainsuite,
         work_dir=work_dir,
         synb0_dir=synb0_dir
     )
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
index 457c0c93..d04514e1 100644
--- a/dmriprep/workflows/base.py
+++ b/dmriprep/workflows/base.py
@@ -31,6 +31,8 @@ def init_dmriprep_wf(
     acqp_file,
     omp_nthreads,
     ignore,
+    use_ants,
+    use_brainsuite,
     work_dir,
     synb0_dir
 ):
@@ -58,6 +60,8 @@ def init_dmriprep_wf(
         acqp_file='',
         omp_nthreads=1,
         ignore=[],
+        use_ants=False,
+        use_brainsuite=False,
         work_dir='.',
         synb0_dir=''
     )
@@ -114,6 +118,8 @@ def init_dmriprep_wf(
             acqp_file=acqp_file,
             omp_nthreads=omp_nthreads,
             ignore=ignore,
+            use_ants=use_ants,
+            use_brainsuite=use_brainsuite,
             work_dir=work_dir,
             synb0_dir=synb0_dir
         )
@@ -144,6 +150,8 @@ def init_single_subject_wf(
     omp_nthreads,
     acqp_file,
     ignore,
+    use_ants,
+    use_brainsuite,
     work_dir,
     synb0_dir
 ):
@@ -176,6 +184,8 @@ def init_single_subject_wf(
         acqp_file='',
         omp_nthreads=1,
         ignore=[],
+        use_ants=False,
+        use_brainsuite=False,
         work_dir='.',
         synb0_dir=''
     )
@@ -263,6 +273,8 @@ def init_single_subject_wf(
                 omp_nthreads=omp_nthreads,
                 acqp_file=acqp_file,
                 ignore=ignore,
+                use_ants=use_ants,
+                use_brainsuite=use_brainsuite,
                 synb0_dir=synb0_dir
             )
 
@@ -276,9 +288,10 @@ def init_single_subject_wf(
             inputspec.inputs.out_dir = os.path.abspath(output_dir)
 
             subject_wf.connect([
-                (dwi_concat_wf, dwi_preproc_wf, [('outputnode.dwi_file', 'inputnode.dwi_file'),
-                                                 ('outputnode.bvec_file', 'inputnode.bvec_file'),
-                                                 ('outputnode.bval_file', 'inputnode.bval_file')])
+                (dwi_concat_wf, dwi_preproc_wf,
+                    [('outputnode.dwi_file', 'inputnode.dwi_file'),
+                     ('outputnode.bvec_file', 'inputnode.bvec_file'),
+                     ('outputnode.bval_file', 'inputnode.bval_file')])
             ])
 
         else:
@@ -299,6 +312,8 @@ def init_single_subject_wf(
                 omp_nthreads=omp_nthreads,
                 acqp_file=acqp_file,
                 ignore=ignore,
+                use_ants=use_ants,
+                use_brainsuite=use_brainsuite,
                 synb0_dir=synb0_dir
             )
 
@@ -332,37 +347,22 @@ def init_single_subject_wf(
         ds_inputspec.inputs.output_folder = output_dir
         ds_inputspec.inputs.metadata = metadata
 
-        if session_id:
-            wf_name = 'sub_' + subject_id + '_ses_' + session_id + '_preproc_wf'
-        else:
-            wf_name = 'sub_' + subject_id + '_preproc_wf'
-        full_wf = pe.Workflow(name=wf_name)
-
-        full_wf.connect(
-            [
-                (
-                    dwi_preproc_wf,
-                    datasink_wf,
-                    [
-                        ('outputnode.out_dwi', 'inputnode.dwi'),
-                        ('outputnode.out_bval', 'inputnode.bval'),
-                        ('outputnode.out_bvec', 'inputnode.bvec'),
-                        ('outputnode.index', 'inputnode.index'),
-                        ('outputnode.acq_params', 'inputnode.acq_params'),
-                        ('outputnode.out_mask', 'inputnode.mask'),
-                        ('outputnode.out_b0_pre', 'inputnode.b0'),
-                        ('outputnode.out_b0_mask_pre', 'inputnode.b0_mask'),
-                        ('outputnode.out_eddy_quad_json', 'inputnode.eddy_quad_json'),
-                        ('outputnode.out_eddy_quad_pdf', 'inputnode.eddy_quad_pdf'),
-                        ('outputnode.out_dtifit_FA', 'inputnode.dtifit_FA'),
-                        ('outputnode.out_dtifit_V1', 'inputnode.dtifit_V1'),
-                        ('outputnode.out_dtifit_sse', 'inputnode.dtifit_sse'),
-                        ('outputnode.out_noise', 'inputnode.noise')
-                    ]
-                )
-            ]
-        )
-
-        subject_wf.add_nodes([full_wf])
+        subject_wf.connect([
+            (dwi_preproc_wf, datasink_wf,
+                [('outputnode.out_dwi', 'inputnode.dwi'),
+                 ('outputnode.out_bval', 'inputnode.bval'),
+                 ('outputnode.out_bvec', 'inputnode.bvec'),
+                 ('outputnode.index', 'inputnode.index'),
+                 ('outputnode.acq_params', 'inputnode.acq_params'),
+                 ('outputnode.out_mask', 'inputnode.mask'),
+                 ('outputnode.out_b0_pre', 'inputnode.b0'),
+                 ('outputnode.out_b0_mask_pre', 'inputnode.b0_mask'),
+                 ('outputnode.out_eddy_quad_json', 'inputnode.eddy_quad_json'),
+                 ('outputnode.out_eddy_quad_pdf', 'inputnode.eddy_quad_pdf'),
+                 ('outputnode.out_dtifit_FA', 'inputnode.dtifit_FA'),
+                 ('outputnode.out_dtifit_V1', 'inputnode.dtifit_V1'),
+                 ('outputnode.out_dtifit_sse', 'inputnode.dtifit_sse'),
+                 ('outputnode.out_noise', 'inputnode.noise')])
+        ])
 
     return subject_wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 404acc2a..1cb3e371 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -10,11 +10,11 @@
 
 from nipype.pipeline import engine as pe
 from nipype.interfaces import fsl, mrtrix3, utility as niu
-from numba import cuda
 
 from .artifacts import init_dwi_artifacts_wf
+from .eddy import init_dwi_eddy_wf
 from .tensor import init_dwi_tensor_wf
-from ..fieldmap.base import init_sdc_prep_wf
+from ..fieldmap.base import init_sdc_wf
 
 FMAP_PRIORITY = {'epi': 0, 'fieldmap': 1, 'phasediff': 2, 'phase': 3, 'syn': 4}
 
@@ -32,6 +32,8 @@ def init_dwi_preproc_wf(
     acqp_file,
     omp_nthreads,
     ignore,
+    use_ants,
+    use_brainsuite,
     synb0_dir
 ):
     """
@@ -50,6 +52,37 @@ def init_dwi_preproc_wf(
 
     wf_name = _get_wf_name(dwi_file)
 
+    if isinstance(dwi_file, list):
+        ref_file = dwi_file[0]
+    else:
+        ref_file = dwi_file
+
+    # For doc building purposes
+    if not hasattr(layout, 'parse_file_entities'):
+        metadata = {
+            'PhaseEncodingDirection': 'j-',
+            'TotalReadoutTime': 0.05
+        }
+        fmaps = [{
+            'suffix': 'phasediff',
+            'phasediff': 'sub-01/fmap/sub-01_phasediff.nii.gz',
+            'magnitude1': 'sub-01/fmap/sub-01_magnitude1.nii.gz',
+            'magnitude2': 'sub-01/fmap/sub-01_magnitude2.nii.gz'
+        }]
+    else:
+        metadata = layout.get_metadata(ref_file)
+        # Find fieldmaps. Options: (epi|fieldmap|phasediff|phase1|phase2|syn)
+        fmaps = []
+        if 'fieldmaps' not in ignore:
+            for fmap in layout.get_fieldmap(ref_file, return_list=True):
+                fmap['metadata'] = layout.get_metadata(fmap[fmap['suffix']])
+                fmaps.append(fmap)
+
+        if (use_ants and not fmaps):
+            fmaps.append({'suffix': 'ants'})
+        if (use_brainsuite and not fmaps):
+            fmaps.append({'suffix': 'brainsuite'})
+
     dwi_wf = pe.Workflow(name=wf_name)
 
     # # If use_synb0 set, get synb0 from files
@@ -69,7 +102,7 @@ def init_dwi_preproc_wf(
             )
             fmaps.append(fmap)
 
-    sdc_wf = init_sdc_prep_wf(
+    dwi_sdc_wf = init_sdc_wf(
         subject_id,
         fmaps,
         metadata,
@@ -246,14 +279,16 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         fsl.BET(frac=bet_dwi, mask=True, robust=True), name='bet_dwi_pre'
     )
 
-    ecc = pe.Node(
-        fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
-        name='fsl_eddy')
-    try:
-        if cuda.gpus:
-            ecc.inputs.use_cuda = True
-    except:
-        ecc.inputs.use_cuda = False
+    dwi_eddy_wf = init_dwi_eddy_wf()
+
+    # ecc = pe.Node(
+    #     fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
+    #     name='fsl_eddy')
+    # try:
+    #     if cuda.gpus:
+    #         ecc.inputs.use_cuda = True
+    # except:
+    #     ecc.inputs.use_cuda = False
 
     denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name='denoise_eddy')
 
@@ -286,44 +321,45 @@ def get_b0_mask_fn(b0_file):
             input_names=['b0_file'], output_names=['mask_file'], function=get_b0_mask_fn),
         name='getB0Mask')
 
-    tensor_wf = init_dwi_tensor_wf()
+    dwi_tensor_wf = init_dwi_tensor_wf()
 
     dwi_wf.connect([
         (inputnode, gen_idx, [('dwi_file', 'in_file')]),
         (inputnode, acqp, [('dwi_file', 'in_file'), ('dwi_meta', 'metadata')]),
         (inputnode, dwi_artifacts_wf, [('dwi_file', 'inputnode.dwi_file')]),
         (dwi_artifacts_wf, avg_b0_0, [('outputnode.out_file', 'in_dwi')]),
-        (dwi_artifacts_wf, ecc, [('outputnode.out_file', 'in_file')]),
+        (dwi_artifacts_wf, dwi_eddy_wf, [('outputnode.out_file', 'inputnode.dwi_file')]),
         (inputnode, avg_b0_0, [('bval_file', 'in_bval')]),
         (avg_b0_0, bet_dwi0, [('out_file', 'in_file')]),
-        (inputnode, ecc, [('bval_file', 'in_bval'),
-                          ('bvec_file', 'in_bvec')]),
-        (bet_dwi0, ecc, [('mask_file', 'in_mask')]),
-        (gen_idx, ecc, [('out_file', 'in_index')]),
-        (ecc, denoise_eddy, [('out_corrected', 'in_file')]),
-        (ecc, bias_correct, [('out_corrected', 'in_file'),
-                             ('out_rotated_bvecs', 'in_bvec')]),
+        (inputnode, dwi_eddy_wf, [('bval_file', 'inputnode.bval_file'),
+                                  ('bvec_file', 'inputnode.bvec_file')]),
+        (bet_dwi0, dwi_eddy_wf, [('mask_file', 'inputnode.mask_file')]),
+        (gen_idx, dwi_eddy_wf, [('out_file', 'inputnode.index')]),
+        (dwi_eddy_wf, denoise_eddy, [('outputnode.out_file', 'in_file')]),
+        (dwi_eddy_wf, bias_correct, [('outputnode.out_file', 'in_file'),
+                                 ('outputnode.out_bvec', 'in_bvec')]),
         (inputnode, bias_correct, [('bval_file', 'in_bval')]),
         (bias_correct, fslroi, [('out_file', 'in_file')]),
         (fslroi, b0mask_node, [('roi_file', 'b0_file')]),
-        (ecc, eddy_quad, [(('out_corrected', get_path), 'base_name'),
-                          (('out_corrected', get_qc_path), 'output_dir'),
-                          ('out_rotated_bvecs', 'bvec_file')]),
+        (dwi_eddy_wf, eddy_quad, [(('outputnode.out_file', get_path), 'base_name'),
+                                  (('outputnode.out_file', get_qc_path), 'output_dir'),
+                                  ('outputnode.out_bvec', 'bvec_file')]),
         (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
         (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
         (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
-        (inputnode, tensor_wf, [('bval_file', 'inputnode.bval_file')]),
-        (b0mask_node, tensor_wf, [('mask_file', 'inputnode.mask_file')]),
-        (ecc, tensor_wf, [('out_corrected', 'inputnode.dwi_file'),
-                          ('out_rotated_bvecs', 'inputnode.bvec_file')])
+        (inputnode, dwi_tensor_wf, [('bval_file', 'inputnode.bval_file')]),
+        (b0mask_node, dwi_tensor_wf, [('mask_file', 'inputnode.mask_file')]),
+        (dwi_eddy_wf, dwi_tensor_wf, [('outputnode.out_file', 'inputnode.dwi_file'),
+                                      ('outputnode.out_bvec', 'inputnode.bvec_file')])
     ])
 
     if acqp_file:
-        ecc.inputs.in_acqp = acqp_file
+        eddy_inputspec = dwi_eddy_wf.get_node('inputnode')
+        eddy_inputspec.inputs.acqp = acqp_file
         eddy_quad.inputs.param_file = acqp_file
     else:
         dwi_wf.connect([
-            (acqp, ecc, [('out_file', 'in_acqp')]),
+            (acqp, dwi_eddy_wf, [('out_file', 'inputnode.acqp')]),
             (acqp, eddy_quad, [('out_file', 'param_file')])
         ])
 
@@ -349,25 +385,26 @@ def get_b0_mask_fn(b0_file):
     #     ecc.inputs.in_acqp = acqp_file
     # else:
     # Decide what ecc will take: topup or fmap
-    fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
-    fmap = fmaps[0]
-    # Else If epi files detected
-    if fmap['suffix'] == 'epi':
-        dwi_wf.connect([
-            (sdc_wf, ecc, [('outputnode.out_topup', 'in_topup_fieldcoef'),
-                           ('outputnode.out_movpar', 'in_topup_movpar')])
-        ])
-    # Otherwise (fieldmaps)
-    else:
-        dwi_wf.connect([
-            (bet_dwi0, sdc_wf, [('out_file', 'inputnode.b0_stripped')]),
-            (sdc_wf, ecc, [('outputnode.out_fmap', 'field')])
-        ])
+    if fmaps:
+        fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
+        fmap = fmaps[0]
+        # Else If epi files detected
+        if fmap['suffix'] == 'epi':
+            dwi_wf.connect([
+                (dwi_sdc_wf, dwi_eddy_wf, [('outputnode.out_topup', 'inputnode.topup_fieldcoef'),
+                                           ('outputnode.out_movpar', 'inputnode.topup_movpar')])
+            ])
+        # Otherwise (fieldmaps)
+        else:
+            dwi_wf.connect([
+                (bet_dwi0, dwi_sdc_wf, [('out_file', 'inputnode.b0_stripped')]),
+                (dwi_sdc_wf, dwi_eddy_wf, [('outputnode.out_fmap', 'inputnode.fieldmap_file')])
+            ])
 
     dwi_wf.connect([
-        (ecc, outputnode, [('out_corrected', 'out_dwi')]),
+        (dwi_eddy_wf, outputnode, [('outputnode.out_file', 'out_dwi')]),
         (inputnode, outputnode, [('bval_file', 'out_bval')]),
-        (ecc, outputnode, [('out_rotated_bvecs', 'out_bvec')]),
+        (dwi_eddy_wf, outputnode, [('outputnode.out_bvec', 'out_bvec')]),
         (gen_idx, outputnode, [('out_file', 'index')]),
         (acqp, outputnode, [('out_file', 'acq_params')]),
         (b0mask_node, outputnode, [('mask_file', 'out_mask')]),
@@ -375,12 +412,12 @@ def get_b0_mask_fn(b0_file):
         (bet_dwi0, outputnode, [('mask_file', 'out_b0_mask_pre')]),
         (eddy_quad, outputnode, [('qc_json', 'out_eddy_quad_json'),
                                  ('qc_pdf', 'out_eddy_quad_pdf')]),
-        (tensor_wf, outputnode, [('outputnode.FA_file', 'out_dtifit_FA'),
-                                 ('outputnode.MD_file', 'out_dtifit_MD'),
-                                 ('outputnode.AD_file', 'out_dtifit_AD'),
-                                 ('outputnode.RD_file', 'out_dtifit_RD'),
-                                 ('outputnode.V1_file', 'out_dtifit_V1'),
-                                 ('outputnode.sse_file', 'out_dtifit_sse')])
+        (dwi_tensor_wf, outputnode, [('outputnode.FA_file', 'out_dtifit_FA'),
+                                     ('outputnode.MD_file', 'out_dtifit_MD'),
+                                     ('outputnode.AD_file', 'out_dtifit_AD'),
+                                     ('outputnode.RD_file', 'out_dtifit_RD'),
+                                     ('outputnode.V1_file', 'out_dtifit_V1'),
+                                     ('outputnode.sse_file', 'out_dtifit_sse')])
     ])
 
     return dwi_wf
diff --git a/dmriprep/workflows/fieldmap/__init__.py b/dmriprep/workflows/fieldmap/__init__.py
index dd0a1ab6..6683dfb4 100644
--- a/dmriprep/workflows/fieldmap/__init__.py
+++ b/dmriprep/workflows/fieldmap/__init__.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 
-from .base import init_sdc_prep_wf
+from .base import init_sdc_wf
 from .pepolar import init_pepolar_wf
 from .fmap import init_fmap_wf
 from .phasediff import init_phase_wf, init_phdiff_wf
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 882d8f70..8ed044dd 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -6,7 +6,7 @@
 FMAP_PRIORITY = {'epi': 0, 'fieldmap': 1, 'phasediff': 2, 'phase': 3, 'syn': 4}
 
 
-def init_sdc_prep_wf(
+def init_sdc_wf(
     subject_id,
     fmaps,
     metadata,
@@ -15,7 +15,7 @@ def init_sdc_prep_wf(
     #synb0,
     ):
 
-    sdc_prep_wf = pe.Workflow(name='sdc_prep_wf')
+    sdc_wf = pe.Workflow(name='sdc_wf')
 
     inputnode = pe.Node(
         niu.IdentityInterface(fields=['b0_stripped']), name='inputnode')
@@ -76,7 +76,7 @@ def init_sdc_prep_wf(
 
         pepolar_wf = init_pepolar_wf(subject_id, metadata, epi_fmaps)
 
-        sdc_prep_wf.connect([
+        sdc_wf.connect([
             (inputnode, pepolar_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
             (pepolar_wf, outputnode, [('outputnode.out_topup', 'out_topup'),
                                       ('outputnode.out_movpar', 'out_movpar'),
@@ -91,7 +91,7 @@ def init_sdc_prep_wf(
         fmap_wf.inputs.inputnode.fieldmap = fmap['fieldmap']
         fmap_wf.inputs.inputnode.magnitude = fmap['magnitude']
 
-        sdc_prep_wf.connect([
+        sdc_wf.connect([
             (inputnode, fmap_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
             (fmap_wf, outputnode, [('outputnode.out_fmap', 'out_fmap')])
         ])
@@ -113,7 +113,7 @@ def init_sdc_prep_wf(
 
             fmap_wf = init_fmap_wf(bet_mag)
 
-            sdc_prep_wf.connect([
+            sdc_wf.connect([
                 (inputnode, fmap_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
                 (phase_wf, fmap_wf, [('outputnode.out_fmap', 'inputnode.fieldmap')]),
                 (phase_wf, fmap_wf, [('outputnode.out_mag', 'inputnode.magnitude')]),
@@ -138,7 +138,7 @@ def init_sdc_prep_wf(
 
             fmap_wf = init_fmap_wf()
 
-            sdc_prep_wf.connect([
+            sdc_wf.connect([
                 (inputnode, fmap_wf, [('b0_stripped', 'inputnode.b0_stripped')]),
                 (phase_wf, fmap_wf, [('outputnode.out_fmap', 'inputnode.fieldmap')]),
                 (phase_wf, fmap_wf, [('outputnode.out_mag', 'inputnode.magnitude')]),
@@ -146,4 +146,4 @@ def init_sdc_prep_wf(
             ])
     else:
         print('No sdc correction')
-    return sdc_prep_wf
+    return sdc_wf

From 8896975132e16dcc224851d4e683656e5b1be7b4 Mon Sep 17 00:00:00 2001
From: mjoseph <josephmje.22@gmail.com>
Date: Fri, 6 Sep 2019 11:33:52 -0400
Subject: [PATCH 153/156] fix eddy and fmap branching

---
 dmriprep/cli.py                           |  2 +-
 dmriprep/workflows/dwi/base.py            | 31 ++++++++++++-----------
 dmriprep/workflows/fieldmap/base.py       |  5 +++-
 dmriprep/workflows/fieldmap/brainsuite.py |  2 +-
 4 files changed, 22 insertions(+), 18 deletions(-)

diff --git a/dmriprep/cli.py b/dmriprep/cli.py
index 9f8696e3..a887cda6 100644
--- a/dmriprep/cli.py
+++ b/dmriprep/cli.py
@@ -178,7 +178,7 @@ def main(
     omp_nthreads,
     ignore,
     use_ants,
-    use_syn,
+    use_brainsuite,
     work_dir,
     synb0_dir,
     write_graph
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index 1cb3e371..e54326f9 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -57,6 +57,8 @@ def init_dwi_preproc_wf(
     else:
         ref_file = dwi_file
 
+    sdc_method = None
+
     # For doc building purposes
     if not hasattr(layout, 'parse_file_entities'):
         metadata = {
@@ -80,8 +82,18 @@ def init_dwi_preproc_wf(
 
         if (use_ants and not fmaps):
             fmaps.append({'suffix': 'ants'})
+            sdc_method = 'nonlinear_reg'
         if (use_brainsuite and not fmaps):
             fmaps.append({'suffix': 'brainsuite'})
+            sdc_method = 'nonlinear_reg'
+
+        if fmaps:
+            fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
+            fmap = fmaps[0]
+            if fmap['suffix'] == 'epi':
+                sdc_method = 'topup'
+            if any(s in fmap['suffix'] for s in ['fieldmap', 'phasediff', 'phase1']):
+                sdc_method = 'fieldmap'
 
     dwi_wf = pe.Workflow(name=wf_name)
 
@@ -92,15 +104,6 @@ def init_dwi_preproc_wf(
     #         synb0_dir, validate=False, derivatives=True
     #     )
     #     synb0 = synb0_layout.get(subject=subject_id, return_type='file')[0]
-    # else:
-    # Find fieldmaps. Options: (epi|fieldmap|phasediff|phase1|phase2|syn)
-    fmaps = []
-    if 'fieldmaps' not in ignore:
-        for fmap in layout.get_fieldmap(dwi_file, return_list=True):
-            fmap['metadata'] = layout.get_metadata(
-                fmap[fmap['suffix']]
-            )
-            fmaps.append(fmap)
 
     dwi_sdc_wf = init_sdc_wf(
         subject_id,
@@ -279,7 +282,7 @@ def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
         fsl.BET(frac=bet_dwi, mask=True, robust=True), name='bet_dwi_pre'
     )
 
-    dwi_eddy_wf = init_dwi_eddy_wf()
+    dwi_eddy_wf = init_dwi_eddy_wf(omp_nthreads, sdc_method)
 
     # ecc = pe.Node(
     #     fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
@@ -385,17 +388,15 @@ def get_b0_mask_fn(b0_file):
     #     ecc.inputs.in_acqp = acqp_file
     # else:
     # Decide what ecc will take: topup or fmap
+    # Else If epi files detected
     if fmaps:
-        fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
-        fmap = fmaps[0]
-        # Else If epi files detected
         if fmap['suffix'] == 'epi':
             dwi_wf.connect([
                 (dwi_sdc_wf, dwi_eddy_wf, [('outputnode.out_topup', 'inputnode.topup_fieldcoef'),
                                            ('outputnode.out_movpar', 'inputnode.topup_movpar')])
             ])
-        # Otherwise (fieldmaps)
-        else:
+    # Otherwise (fieldmaps)
+        if any(s in fmap['suffix'] for s in ['fieldmap', 'phasediff', 'phase1']):
             dwi_wf.connect([
                 (bet_dwi0, dwi_sdc_wf, [('out_file', 'inputnode.b0_stripped')]),
                 (dwi_sdc_wf, dwi_eddy_wf, [('outputnode.out_fmap', 'inputnode.fieldmap_file')])
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 8ed044dd..3c374fb2 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -63,7 +63,10 @@ def init_sdc_wf(
     #     )
     # else:
     fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
-    fmap = fmaps[0]
+    try:
+        fmap = fmaps[0]
+    except:
+        return
 
     if fmap['suffix'] == 'epi':
         from .pepolar import init_pepolar_wf
diff --git a/dmriprep/workflows/fieldmap/brainsuite.py b/dmriprep/workflows/fieldmap/brainsuite.py
index aabe7440..f799eafe 100644
--- a/dmriprep/workflows/fieldmap/brainsuite.py
+++ b/dmriprep/workflows/fieldmap/brainsuite.py
@@ -28,7 +28,7 @@ def init_brainsuite_wf():
         name='inputnode')
 
     outputnode = pe.Node(
-        niu.IdentityInterface(fields=['out_fmap']), name='outputnode'
+        niu.IdentityInterface(fields=['out_dwi']), name='outputnode'
     )
 
     bias_corr = pe.Node(brainsuite.Bfc(minBias=0.5, maxBias=1.5), name='bias_corr')

From 3fec3552b02d575ba4f8778c5c7faef4534e9e19 Mon Sep 17 00:00:00 2001
From: Michael Joseph <josephmje.22@gmail.com>
Date: Sun, 8 Sep 2019 07:56:10 -0400
Subject: [PATCH 154/156]  This is a combination of 3 commits.

doc: misc setup and doc changes

maint: remove unnecessary files

Some reorganization, and rethinking the main workflow. Still not runnable via argparse.

fix eddy_quad bindings

update fork

remove slice timing req

update Dockerfile

fix imports in qc

update MANIFEST.in

update bids.py

update bids.py

update Dockerfile to include new eddy

turn off cnr_maps with eddy

update Dockerfile with fsl 5.0.11

add nlsam denoising to dockerfile

add nlsam denoising option

add nlsam denoising option

fix nlsam, add eddy args

fix nlsam, add eddy args

create new cli skeleton

create new cli skeleton

create new cli skeleton

add support for multiple sessions and multi-file concatenation

add meta-wf handling

reorder workflow stages in light of recommendations from Maximov et al. 2019, Ades-Aron et al. 2018(a), Ades-Aron et al. 2018(b)

rename final dwi output to make it identifiable

adjust ART norm thresh

split noise estimation stage and denoising

tweak cores/mem alloc

liter eddy

fix verbosity, refine eddy memory reqs

save final bval/bvec as txt

update Dockerfile, reduce size

fix bug with eddy_quad base_name

workflow end-end completion

update Dockerfile

tweak mem restrictions

update mem restrictions

fine-tune resource handling

fine-tune resource consumption

more resource handling fine-tuning

refine resource handling

add support to drop outliers from sigma if 4d

openMP handling

squash/merge final pre-meeting

add sigma switch to drop_outliers_fn

fix sigma

fix sigma issue

change os.rename to shutil.copy to handle linking across mounted filesystems

resource handling

remove array passing to alleviate memory/pickling errors

update eddy mem reqs

fix topup odd slice option

update eddy mem reqs
fix b02b0.cfg bug for odd slices

simplify b02b0.cnf

specify handling for second-level modeling in eddy if data is detected as hemispheric

specify handling for second-level modeling in eddy if data is detected as hemispheric

FIX: send empty str to 'args' trait of an EddyInputSpec

empty str to eddy args for non-reverse-phase

empty str to eddy args for non-reverse-phase: PR

fix slm str trait bug

adjust .cnf hyperparameter window

adjust .cnf hyperparameter window
---
 .dockerignore                                 |    2 +-
 .github/config.yml                            |    2 +-
 .gitignore                                    |    3 -
 .zenodo.json                                  |    5 +
 CONTRIBUTING.rst                              |   68 -
 Dockerfile                                    |  147 +-
 MANIFEST.in                                   |   17 +
 Makefile                                      |   10 +-
 REFERENCES.rst                                |   20 -
 dmriprep/.idea/dmriprep.iml                   |   13 +
 dmriprep/.idea/libraries/R_User_Library.xml   |    6 +
 dmriprep/.idea/misc.xml                       |    7 +
 dmriprep/.idea/modules.xml                    |    8 +
 dmriprep/.idea/vcs.xml                        |    6 +
 dmriprep/.idea/workspace.xml                  |  192 +++
 dmriprep/__about__.py                         |    7 +-
 dmriprep/cli/run.py                           |  682 +++-----
 dmriprep/cli/version.py                       |    4 +-
 dmriprep/config/__init__.py                   |    5 -
 dmriprep/config/b02b0.cnf                     |   26 +
 dmriprep/config/b02b0_1.cnf                   |   26 +
 dmriprep/config/eddy_params.json              |   18 +
 .../data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz  |  Bin 3597008 -> 0 bytes
 .../ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz  |  Bin 100759 -> 0 bytes
 .../ENIGMA_DTI_FA_skeleton.nii.gz             |  Bin 475000 -> 0 bytes
 .../ENIGMA_DTI_FA_skeleton_mask.nii.gz        |  Bin 152076 -> 0 bytes
 .../ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz    |  Bin 937282 -> 0 bytes
 dmriprep/data/__init__.py                     |    0
 dmriprep/data/boilerplate.bib                 |  349 ----
 dmriprep/data/eddy_parameters.json            |   27 -
 dmriprep/interfaces/__init__.py               |   53 -
 dmriprep/interfaces/fmap.py                   |    2 +-
 dmriprep/interfaces/fsl_extensions.py         |  124 ++
 dmriprep/utils/bids.py                        |  301 ++--
 dmriprep/utils/core.py                        |  802 +++++++++
 dmriprep/utils/hemisphere.py                  |   62 -
 dmriprep/utils/qc.py                          |  480 ++++++
 dmriprep/viz/__init__.py                      |    0
 dmriprep/viz/utils.py                         |   82 -
 dmriprep/workflows/_afq/cli.py                |  281 ----
 dmriprep/workflows/_afq/data.py               | 1133 -------------
 dmriprep/workflows/_afq/dmriprep.py           |   13 -
 dmriprep/workflows/_afq/io.py                 |   84 -
 dmriprep/workflows/_afq/qc.py                 |  254 ---
 dmriprep/workflows/_afq/run.py                |  855 ----------
 dmriprep/workflows/_afq/utils.py              |   62 -
 dmriprep/workflows/anatomical.py              |   36 -
 dmriprep/workflows/base.py                    |  506 ------
 dmriprep/workflows/dwi/__init__.py            |   14 +-
 dmriprep/workflows/dwi/artifacts.py           |  131 --
 dmriprep/workflows/dwi/base.py                | 1437 ++++++++++++-----
 dmriprep/workflows/dwi/eddy.py                |  112 --
 dmriprep/workflows/dwi/outputs.py             |   98 --
 dmriprep/workflows/dwi/qc.py                  |  238 ---
 dmriprep/workflows/dwi/tensor.py              |   88 -
 dmriprep/workflows/dwi/util.py                |  162 +-
 dmriprep/workflows/fieldmap/base.py           |    3 +-
 dmriprep/workflows/fieldmap/brainsuite.py     |   46 -
 dmriprep/workflows/fieldmap/fmap.py           |    1 +
 dmriprep/workflows/fieldmap/pepolar.py        |    4 -
 dmriprep/workflows/fieldmap/phasediff.py      |    4 +-
 dmriprep/workflows/fieldmap/synb0.py          |    0
 docker/files/neurodebian.gpg                  |   71 +
 docs/conf.py                                  |   12 +-
 long_description.rst                          |   31 -
 references.xlsx                               |  Bin 9755 -> 0 bytes
 requirements.txt                              |   10 -
 requirements_dev.txt                          |   16 -
 setup.cfg                                     |   10 +-
 update_changes.sh                             |    2 +-
 70 files changed, 3369 insertions(+), 5901 deletions(-)
 delete mode 100644 REFERENCES.rst
 create mode 100644 dmriprep/.idea/dmriprep.iml
 create mode 100644 dmriprep/.idea/libraries/R_User_Library.xml
 create mode 100644 dmriprep/.idea/misc.xml
 create mode 100644 dmriprep/.idea/modules.xml
 create mode 100644 dmriprep/.idea/vcs.xml
 create mode 100644 dmriprep/.idea/workspace.xml
 create mode 100644 dmriprep/config/b02b0.cnf
 create mode 100644 dmriprep/config/b02b0_1.cnf
 create mode 100644 dmriprep/config/eddy_params.json
 delete mode 100755 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_mask.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask.nii.gz
 delete mode 100644 dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA_skeleton_mask_dst.nii.gz
 delete mode 100644 dmriprep/data/__init__.py
 delete mode 100644 dmriprep/data/boilerplate.bib
 delete mode 100644 dmriprep/data/eddy_parameters.json
 create mode 100644 dmriprep/interfaces/fsl_extensions.py
 create mode 100644 dmriprep/utils/core.py
 delete mode 100644 dmriprep/utils/hemisphere.py
 create mode 100644 dmriprep/utils/qc.py
 delete mode 100644 dmriprep/viz/__init__.py
 delete mode 100644 dmriprep/viz/utils.py
 delete mode 100644 dmriprep/workflows/_afq/cli.py
 delete mode 100644 dmriprep/workflows/_afq/data.py
 delete mode 100644 dmriprep/workflows/_afq/dmriprep.py
 delete mode 100644 dmriprep/workflows/_afq/io.py
 delete mode 100644 dmriprep/workflows/_afq/qc.py
 delete mode 100644 dmriprep/workflows/_afq/run.py
 delete mode 100644 dmriprep/workflows/_afq/utils.py
 delete mode 100644 dmriprep/workflows/anatomical.py
 delete mode 100644 dmriprep/workflows/base.py
 delete mode 100644 dmriprep/workflows/dwi/artifacts.py
 delete mode 100644 dmriprep/workflows/dwi/eddy.py
 delete mode 100644 dmriprep/workflows/dwi/outputs.py
 delete mode 100644 dmriprep/workflows/dwi/qc.py
 delete mode 100644 dmriprep/workflows/dwi/tensor.py
 delete mode 100644 dmriprep/workflows/fieldmap/brainsuite.py
 delete mode 100644 dmriprep/workflows/fieldmap/synb0.py
 create mode 100644 docker/files/neurodebian.gpg
 delete mode 100644 long_description.rst
 delete mode 100644 references.xlsx
 delete mode 100644 requirements.txt
 delete mode 100644 requirements_dev.txt

diff --git a/.dockerignore b/.dockerignore
index 3ad3ce1c..a51f661d 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -39,4 +39,4 @@ out/
 .zenodo.json
 .travis.yml
 .readthedocs.yml
-CONTRIBUTING.md
+CONTRIBUTING.rst
diff --git a/.github/config.yml b/.github/config.yml
index 820c588c..70c14c71 100644
--- a/.github/config.yml
+++ b/.github/config.yml
@@ -5,7 +5,7 @@ newPRWelcomeComment: >
   Thanks for opening this pull request!
   We have detected this is the first time for you to contribute
   to *dMRIPrep*.
-  Please check out our [contributing guidelines](https://github.com/nipreps/dmriprep/blob/master/CONTRIBUTING.md).
+  Please check out our [contributing guidelines](https://github.com/nipreps/dmriprep/blob/master/CONTRIBUTING.rst).
 
   We invite you to list yourself as a *dMRIPrep* contributor, so if your name
   is not already mentioned, please modify the
diff --git a/.gitignore b/.gitignore
index dd9e5e57..3cae9a46 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,6 +103,3 @@ ENV/
 
 # Mac OS nonsense:
 .DS_Store
-
-# miscellaneous
-references/
diff --git a/.zenodo.json b/.zenodo.json
index f823aa44..c6d5fc23 100644
--- a/.zenodo.json
+++ b/.zenodo.json
@@ -3,6 +3,11 @@
   "title": "dMRIPrep: a robust preprocessing pipeline for diffusion MRI",
   "description": "<p>dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.</p>",
   "creators": [
+    {
+      "affiliation": "University of Texas at Austin",
+      "name": "Pisner, Derek",
+      "orcid": "0000-0002-1228-0201"
+    },
     {
       "affiliation": "Stanford University",
       "name": "Lerma-Usabiaga, Garikoitz",
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index a5db05f8..a936a315 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -4,74 +4,6 @@
 Contributing
 ============
 
-.. code-block:: console
-
-    dmriprep
-    ├── CHANGES.rst
-    ├── CONTRIBUTING.rst
-    ├── dmriprep
-    │   ├── __about__.py
-    │   ├── cli.py
-    │   ├── data
-    │   │   ├── boilerplate.bib
-    |   |   ├── eddy_parameters
-    │   │   └── ENIGMA_targets
-    │   ├── due.py
-    │   ├── __init__.py
-    │   ├── interfaces
-    │   │   ├── fmap.py
-    │   │   ├── __init__.py
-    │   │   └── reportlets.py
-    │   ├── qc.py
-    │   ├── utils
-    │   │   ├── bids.py
-    │   │   ├── hemisphere.py
-    │   │   └── __init__.py
-    │   ├── _version.py
-    │   ├── viz
-    │   │   ├── __init__.py
-    │   │   └── utils.py
-    │   └── workflows
-    │       ├── anatomical.py
-    │       ├── base.py
-    │       ├── dwi
-    │       │   ├── __init__.py
-    │       │   ├── artifacts.py
-    │       │   ├── base.py
-    │       │   ├── eddy.py
-    │       │   ├── outputs.py
-    │       │   ├── qc.py
-    │       │   ├── tensor.py
-    │       │   └── util.py
-    │       ├── fieldmap
-    │       │   ├── __init__.py
-    │       │   ├── ants.py
-    │       │   ├── base.py
-    │       │   ├── brainsuite.py
-    │       │   ├── fmap.py
-    │       │   ├── pepolar.py
-    │       │   ├── phasediff.py
-    │       │   └── synb0.py
-    │       └── __init__.py
-    ├── Dockerfile
-    ├── docs
-    ├── LICENSE
-    ├── long_description.rst
-    ├── Makefile
-    ├── MANIFEST.in
-    ├── pyproject.toml
-    ├── README.rst
-    ├── REFERENCES.rst
-    ├── setup.cfg
-    ├── setup.py
-    ├── tests
-    │   ├── __init__.py
-    │   ├── test_dmriprep.py
-    │   └── test_utils.py
-    ├── tox.ini
-    ├── update_changes.sh
-    └── versioneer.py
-
 We love contributions! dmriprep is open source, built on open source,
 and we'd love to have you hang out in our community.
 
diff --git a/Dockerfile b/Dockerfile
index fe16af09..24137982 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -2,7 +2,7 @@
 FROM ubuntu:xenial-20161213
 
 # Pre-cache neurodebian key
-COPY .docker/neurodebian.gpg /usr/local/etc/neurodebian.gpg
+COPY docker/files/neurodebian.gpg /usr/local/etc/neurodebian.gpg
 
 # Prepare environment
 RUN apt-get update && \
@@ -16,6 +16,10 @@ RUN apt-get update && \
                     autoconf \
                     libtool \
                     pkg-config \
+		    vim \
+		    zip \
+		    unzip \
+		    wget \
                     git && \
     curl -sL https://deb.nodesource.com/setup_10.x | bash - && \
     apt-get install -y --no-install-recommends \
@@ -27,43 +31,13 @@ RUN curl -o pandoc-2.2.2.1-1-amd64.deb -sSL "https://github.com/jgm/pandoc/relea
     dpkg -i pandoc-2.2.2.1-1-amd64.deb && \
     rm pandoc-2.2.2.1-1-amd64.deb
 
-# Installing freesurfer
-RUN curl -sSL https://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/6.0.1/freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.1.tar.gz | tar zxv --no-same-owner -C /opt \
-    --exclude='freesurfer/diffusion' \
-    --exclude='freesurfer/docs' \
-    --exclude='freesurfer/fsfast' \
-    --exclude='freesurfer/lib/cuda' \
-    --exclude='freesurfer/lib/qt' \
-    --exclude='freesurfer/matlab' \
-    --exclude='freesurfer/mni/share/man' \
-    --exclude='freesurfer/subjects/fsaverage_sym' \
-    --exclude='freesurfer/subjects/fsaverage3' \
-    --exclude='freesurfer/subjects/fsaverage4' \
-    --exclude='freesurfer/subjects/cvs_avg35' \
-    --exclude='freesurfer/subjects/cvs_avg35_inMNI152' \
-    --exclude='freesurfer/subjects/bert' \
-    --exclude='freesurfer/subjects/lh.EC_average' \
-    --exclude='freesurfer/subjects/rh.EC_average' \
-    --exclude='freesurfer/subjects/sample-*.mgz' \
-    --exclude='freesurfer/subjects/V1_average' \
-    --exclude='freesurfer/trctrain'
-
 ENV FSL_DIR="/usr/share/fsl/5.0" \
     OS="Linux" \
     FS_OVERRIDE=0 \
     FIX_VERTEX_AREA="" \
-    FSF_OUTPUT_FORMAT="nii.gz" \
-    FREESURFER_HOME="/opt/freesurfer"
-ENV SUBJECTS_DIR="$FREESURFER_HOME/subjects" \
-    FUNCTIONALS_DIR="$FREESURFER_HOME/sessions" \
-    MNI_DIR="$FREESURFER_HOME/mni" \
-    LOCAL_DIR="$FREESURFER_HOME/local" \
-    MINC_BIN_DIR="$FREESURFER_HOME/mni/bin" \
-    MINC_LIB_DIR="$FREESURFER_HOME/mni/lib" \
-    MNI_DATAPATH="$FREESURFER_HOME/mni/data"
+    FSF_OUTPUT_FORMAT="nii.gz"
 ENV PERL5LIB="$MINC_LIB_DIR/perl5/5.8.5" \
-    MNI_PERL5LIB="$MINC_LIB_DIR/perl5/5.8.5" \
-    PATH="$FREESURFER_HOME/bin:$FSFAST_HOME/bin:$FREESURFER_HOME/tktools:$MINC_BIN_DIR:$PATH"
+    MNI_PERL5LIB="$MINC_LIB_DIR/perl5/5.8.5"
 
 # Installing Neurodebian packages (FSL, AFNI, git)
 RUN curl -sSL "http://neuro.debian.net/lists/$( lsb_release -c | cut -f2 ).us-ca.full" >> /etc/apt/sources.list.d/neurodebian.sources.list && \
@@ -72,32 +46,63 @@ RUN curl -sSL "http://neuro.debian.net/lists/$( lsb_release -c | cut -f2 ).us-ca
 
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
-                    fsl-core=5.0.9-5~nd16.04+1 \
-                    fsl-mni152-templates=5.0.7-2 \
                     afni=16.2.07~dfsg.1-5~nd16.04+1 \
-                    convert3d \
                     git-annex-standalone && \
     apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
 
-ENV FSLDIR="/usr/share/fsl/5.0" \
-    FSLOUTPUTTYPE="NIFTI_GZ" \
-    FSLMULTIFILEQUIT="TRUE" \
-    POSSUMDIR="/usr/share/fsl/5.0" \
-    LD_LIBRARY_PATH="/usr/lib/fsl/5.0:$LD_LIBRARY_PATH" \
-    FSLTCLSH="/usr/bin/tclsh" \
-    FSLWISH="/usr/bin/wish" \
-    AFNI_MODELPATH="/usr/lib/afni/models" \
-    AFNI_IMSAVE_WARNINGS="NO" \
-    AFNI_TTATLAS_DATASET="/usr/share/afni/atlases" \
-    AFNI_PLUGINPATH="/usr/lib/afni/plugins"
-ENV PATH="/usr/lib/fsl/5.0:/usr/lib/afni/bin:$PATH"
+ENV FSLDIR="/opt/fsl-6.0.1" \
+    PATH="/opt/fsl-6.0.1/bin:$PATH" \
+    FSLOUTPUTTYPE="NIFTI_GZ"
+RUN apt-get update -qq \
+    && apt-get install -y -q --no-install-recommends \
+           bc \
+           dc \
+           file \
+           libfontconfig1 \
+           libfreetype6 \
+           libgl1-mesa-dev \
+           libglu1-mesa-dev \
+           libgomp1 \
+           libice6 \
+           libxcursor1 \
+           libxft2 \
+           libxinerama1 \
+           libxrandr2 \
+           libxrender1 \
+           libxt6 \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/* \
+    && echo "Downloading FSL ..." \
+    && wget -q http://fsl.fmrib.ox.ac.uk/fsldownloads/fslinstaller.py \
+    && chmod 775 fslinstaller.py
+RUN /fslinstaller.py -d /opt/fsl-6.0.1 -V 6.0.1 -q
+
+RUN rm -rf /opt/fsl-6.0.1/data \
+    && rm -rf /opt/fsl-6.0.1/bin/FSLeyes* \
+    && rm -rf /opt/fsl-6.0.1/src \
+    && rm -rf /opt/fsl-6.0.1/extras/src \
+    && rm -rf /opt/fsl-6.0.1/doc \
+    && rm -rf /opt/fsl-6.0.1/bin/fslview.app \
+    && rm -rf /opt/fsl-6.0.1/data/atlases \
+    && rm -rf /opt/fsl-6.0.1/data/first \
+    && rm -rf /opt/fsl-6.0.1/data/mist \
+    && rm -rf /opt/fsl-6.0.1/data/possum
 
 # Installing ANTs 2.2.0 (NeuroDocker build)
 ENV ANTSPATH=/usr/lib/ants
 RUN mkdir -p $ANTSPATH && \
     curl -sSL "https://dl.dropbox.com/s/2f4sui1z6lcgyek/ANTs-Linux-centos5_x86_64-v2.2.0-0740f91.tar.gz" \
     | tar -xzC $ANTSPATH --strip-components 1
-ENV PATH=$ANTSPATH:$PATH
+
+ENV AFNI_INSTALLDIR=/usr/lib/afni \
+    PATH=${PATH}:/usr/lib/afni/bin \
+    AFNI_PLUGINPATH=/usr/lib/afni/plugins \
+    AFNI_MODELPATH=/usr/lib/afni/models \
+    AFNI_TTATLAS_DATASET=/usr/share/afni/atlases \
+    AFNI_IMSAVE_WARNINGS=NO \
+    FSLOUTPUTTYPE=NIFTI_GZ \
+    PATH=$ANTSPATH:$PATH \
+    ANTS_VERSION=2.2.0
 
 # Create a shared $HOME directory
 RUN useradd -m -s /bin/bash -G users dmriprep
@@ -112,14 +117,6 @@ RUN npm install -g svgo
 # Installing bids-validator
 RUN npm install -g bids-validator@1.2.3
 
-# Installing and setting up ICA_AROMA
-RUN mkdir -p /opt/ICA-AROMA && \
-  curl -sSL "https://github.com/maartenmennes/ICA-AROMA/archive/v0.4.4-beta.tar.gz" \
-  | tar -xzC /opt/ICA-AROMA --strip-components 1 && \
-  chmod +x /opt/ICA-AROMA/ICA_AROMA.py
-
-ENV PATH=/opt/ICA-AROMA:$PATH
-
 # Installing and setting up miniconda
 RUN curl -sSLO https://repo.continuum.io/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh && \
     bash Miniconda3-4.5.11-Linux-x86_64.sh -b -p /usr/local/miniconda && \
@@ -147,6 +144,7 @@ RUN conda install -y python=3.7.1 \
                      graphviz=2.40.1 \
                      traits=4.6.0 \
                      zlib; sync && \
+		     cython && \
     chmod -R a+rX /usr/local/miniconda; sync && \
     chmod +x /usr/local/miniconda/bin/*; sync && \
     conda build purge-all; sync && \
@@ -161,26 +159,33 @@ ENV MKL_NUM_THREADS=1 \
 RUN python -c "from matplotlib import font_manager" && \
     sed -i 's/\(backend *: \).*$/\1Agg/g' $( python -c "import matplotlib; print(matplotlib.matplotlib_fname())" )
 
-# Precaching atlases
-RUN pip install --no-cache-dir "templateflow>=0.4.0,<0.5.0a0" && \
-    python -c "from templateflow import api as tfapi; \
-               tfapi.get('MNI152NLin6Asym', atlas=None, extension=['.nii', '.nii.gz']); \
-               tfapi.get('MNI152NLin2009cAsym', atlas=None, extension=['.nii', '.nii.gz']); \
-               tfapi.get('OASIS30ANTs', extension=['.nii', '.nii.gz']);" && \
-    find $HOME/.cache/templateflow -type d -exec chmod go=u {} + && \
-    find $HOME/.cache/templateflow -type f -exec chmod go=u {} +
+RUN pip install --upgrade pip
+
+RUN apt-get update && apt-get install -y \
+  gfortran \
+  liblapack-dev \
+  libopenblas-dev
+
+RUN pip install ipython cython parse
 
 # Installing DMRIPREP
-COPY . /src/dmriprep
-ARG VERSION
-# Force static versioning within container
-RUN echo "${VERSION}" > /src/dmriprep/dmriprep/VERSION && \
-    echo "include dmriprep/VERSION" >> /src/dmriprep/MANIFEST.in && \
-    pip install --no-cache-dir "/src/dmriprep[all]"
+RUN git clone -b nipreps https://github.com/dPys/dmriprep.git dmriprep && \
+    cd dmriprep && \
+    python setup.py install
+
+RUN pip install ipython cython parse
+
+RUN pip install --no-cache-dir https://github.com/samuelstjean/nlsam/archive/master.zip
 
 RUN find $HOME -type d -exec chmod go=u {} + && \
     find $HOME -type f -exec chmod go=u {} +
 
+RUN mkdir /inputs && \
+    chmod -R 777 /inputs
+
+RUN mkdir /outputs && \
+    chmod -R 777 /outputs
+
 ENV IS_DOCKER_8395080871=1
 
 RUN ldconfig
diff --git a/MANIFEST.in b/MANIFEST.in
index 71126fef..06cb4024 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -5,3 +5,20 @@ include LICENSE
 # versioneer
 include versioneer.py
 include dmriprep/_version.py
+recursive-include * *.nii.gz
+recursive-include * *.html
+recursive-include * *.js
+recursive-include * *.json
+recursive-include * *.txt
+recursive-include * *.csv
+recursive-include dmriprep/viz *
+recursive-include dmriprep/utils *
+recursive-include dmriprep/interfaces *
+recursive-include dmriprep/data *
+recursive-include dmriprep/config *
+recursive-include dmriprep/cli *
+recursive-include tests *
+recursive-exclude * __pycache__
+recursive-exclude * *.py[co]
+recursive-include * *.yaml
+recursive-include docs *.rst conf.py Makefile make.bat *.jpg *.png *.gif
diff --git a/Makefile b/Makefile
index f5d45aff..03b6b514 100644
--- a/Makefile
+++ b/Makefile
@@ -87,8 +87,8 @@ dist: clean ## builds source and wheel package
 install: clean ## install the package to the active Python's site-packages
 	python setup.py install
 
-docker-dev: ## build the development environment
-	docker build -t dmriprep:dev -f docker/Dockerfile docker/.
-
-docker: docker-dev
-	docker build -t dmriprep:prod -f Dockerfile-dmriprep .
+docker: docker
+	docker build --rm -t nipreps/dmriprep:latest \
+		--build-arg BUILD_DATE=`date -u +"%Y-%m-%dT%H:%M:%SZ"` \
+		--build-arg VCS_REF=`git rev-parse --short HEAD` \
+		--build-arg VERSION=$( python get_version.py ) .
diff --git a/REFERENCES.rst b/REFERENCES.rst
deleted file mode 100644
index da338637..00000000
--- a/REFERENCES.rst
+++ /dev/null
@@ -1,20 +0,0 @@
-
-Veraart et al. Denoising of diffusion MRI using random matrix theory (2016). Neuroimage 142:394-406
-Kellner et al. Gibbs‐ringing artifact removal based on local subvoxel‐shifts (2016). Magn Reson Med 76:1574–1581
-
-When using eddy and its QC tools, we ask you to please reference the papers describing the different aspects of the modelling and corrections. The (Andersson & Sotiropoulos, 2016) paper is the main eddy reference and should always be be cited when using eddy. The (Bastiani et al., 2019) paper is the main eddy QC reference and should always be be cited when using the QC tools. When using topup to estimate a fieldmap prior to running eddy one should also cite (Andersson et al., 2003). If you have used eddy to detect and replace outlier slices (by adding --repol to the eddy command line), please also cite (Andersson et al., 2016). If eddy was used to estimate and correct for intra-volume (slice-to-vol) movement by specifying --mporder, please also cite (Andersson et al., 2017). Finally, if you asked eddy to model how the susceptibility-induced distortions change as a consequence of subject movement (with the --estimate_move_by_susceptibility flag), please cite (Andersson et al., 2018).
-
-
-REFERENCES
-
-Jesper L.R. Andersson, Stefan Skare and John Ashburner. 2003. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage 20:870-888
-
-Jesper L.R. Andersson and Stamatios N. Sotiropoulos. 2016. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage 125:1063-1078
-
-Jesper L.R. Andersson, Mark S. Graham, Eniko Zsoldos and Stamatios N. Sotiropoulos. 2016. Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage 141:556-572
-
-Jesper L.R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Nicola Filippini and Matteo Bastiani. 2017. Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement. NeuroImage 152:450-466
-
-Jesper L.R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang and Jon Campbell. 2018. Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data. NeuroImage 171:277-295
-
-Matteo Bastiani, Michiel Cottaar, Sean P. Fitzgibbon, Sana Suri, Fidel Alfaro-Almagro, Stamatios N. Sotiropoulos, Saad Jbabdi and Jesper L.R. Andersson. 2019. Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. NeuroImage 184:801-812
diff --git a/dmriprep/.idea/dmriprep.iml b/dmriprep/.idea/dmriprep.iml
new file mode 100644
index 00000000..86abb4ca
--- /dev/null
+++ b/dmriprep/.idea/dmriprep.iml
@@ -0,0 +1,13 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="Python 3.7 (PyNets)" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+    <orderEntry type="library" name="R Skeletons" level="application" />
+    <orderEntry type="library" name="R User Library" level="project" />
+  </component>
+  <component name="TestRunnerService">
+    <option name="PROJECT_TEST_RUNNER" value="Unittests" />
+  </component>
+</module>
\ No newline at end of file
diff --git a/dmriprep/.idea/libraries/R_User_Library.xml b/dmriprep/.idea/libraries/R_User_Library.xml
new file mode 100644
index 00000000..71f5ff74
--- /dev/null
+++ b/dmriprep/.idea/libraries/R_User_Library.xml
@@ -0,0 +1,6 @@
+<component name="libraryTable">
+  <library name="R User Library">
+    <CLASSES />
+    <SOURCES />
+  </library>
+</component>
\ No newline at end of file
diff --git a/dmriprep/.idea/misc.xml b/dmriprep/.idea/misc.xml
new file mode 100644
index 00000000..1d8a5d64
--- /dev/null
+++ b/dmriprep/.idea/misc.xml
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="JavaScriptSettings">
+    <option name="languageLevel" value="ES6" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (PyNets)" project-jdk-type="Python SDK" />
+</project>
\ No newline at end of file
diff --git a/dmriprep/.idea/modules.xml b/dmriprep/.idea/modules.xml
new file mode 100644
index 00000000..3913f593
--- /dev/null
+++ b/dmriprep/.idea/modules.xml
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/dmriprep.iml" filepath="$PROJECT_DIR$/.idea/dmriprep.iml" />
+    </modules>
+  </component>
+</project>
\ No newline at end of file
diff --git a/dmriprep/.idea/vcs.xml b/dmriprep/.idea/vcs.xml
new file mode 100644
index 00000000..6c0b8635
--- /dev/null
+++ b/dmriprep/.idea/vcs.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$/.." vcs="Git" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/dmriprep/.idea/workspace.xml b/dmriprep/.idea/workspace.xml
new file mode 100644
index 00000000..cadf3879
--- /dev/null
+++ b/dmriprep/.idea/workspace.xml
@@ -0,0 +1,192 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ChangeListManager">
+    <list default="true" id="a5bb7211-a5b4-4090-96a6-1237b311e47e" name="Default Changelist" comment="">
+      <change beforePath="$PROJECT_DIR$/config/b02b0.cnf" beforeDir="false" afterPath="$PROJECT_DIR$/config/b02b0.cnf" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/config/b02b0_1.cnf" beforeDir="false" afterPath="$PROJECT_DIR$/config/b02b0_1.cnf" afterDir="false" />
+    </list>
+    <option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
+    <option name="SHOW_DIALOG" value="false" />
+    <option name="HIGHLIGHT_CONFLICTS" value="true" />
+    <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
+    <option name="LAST_RESOLUTION" value="IGNORE" />
+  </component>
+  <component name="FileEditorManager">
+    <leaf>
+      <file pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/config/b02b0_1.cnf">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="375">
+              <caret line="25" column="9" lean-forward="true" selection-end-line="25" selection-end-column="9" />
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file pinned="false" current-in-tab="true">
+        <entry file="file://$PROJECT_DIR$/config/b02b0.cnf">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="45">
+              <caret line="3" column="13" selection-start-line="3" selection-start-column="13" selection-end-line="3" selection-end-column="13" />
+            </state>
+          </provider>
+        </entry>
+      </file>
+    </leaf>
+  </component>
+  <component name="FindInProjectRecents">
+    <findStrings>
+      <find>susceptibility_args</find>
+      <find>/work</find>
+      <find>work</find>
+      <find>slm</find>
+      <find>move</find>
+      <find>reverse</find>
+      <find>'none'</find>
+      <find>work_dir</find>
+    </findStrings>
+  </component>
+  <component name="Git.Settings">
+    <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$/.." />
+  </component>
+  <component name="IdeDocumentHistory">
+    <option name="CHANGED_PATHS">
+      <list>
+        <option value="$PROJECT_DIR$/utils/core.py" />
+        <option value="$PROJECT_DIR$/config/b02b0_1.cnf" />
+        <option value="$PROJECT_DIR$/config/b02b0.cnf" />
+      </list>
+    </option>
+  </component>
+  <component name="ProjectFrameBounds">
+    <option name="x" value="607" />
+    <option name="y" value="23" />
+    <option name="width" value="1001" />
+    <option name="height" value="985" />
+  </component>
+  <component name="ProjectView">
+    <navigator proportions="" version="1">
+      <foldersAlwaysOnTop value="true" />
+    </navigator>
+    <panes>
+      <pane id="Scope" />
+      <pane id="ProjectPane">
+        <subPane>
+          <expand>
+            <path>
+              <item name="dmriprep" type="b2602c69:ProjectViewProjectNode" />
+              <item name="dmriprep" type="462c0819:PsiDirectoryNode" />
+            </path>
+            <path>
+              <item name="dmriprep" type="b2602c69:ProjectViewProjectNode" />
+              <item name="dmriprep" type="462c0819:PsiDirectoryNode" />
+              <item name="config" type="462c0819:PsiDirectoryNode" />
+            </path>
+          </expand>
+          <select />
+        </subPane>
+      </pane>
+    </panes>
+  </component>
+  <component name="PropertiesComponent">
+    <property name="SHARE_PROJECT_CONFIGURATION_FILES" value="true" />
+    <property name="WebServerToolWindowFactoryState" value="false" />
+  </component>
+  <component name="RunDashboard">
+    <option name="ruleStates">
+      <list>
+        <RuleState>
+          <option name="name" value="ConfigurationTypeDashboardGroupingRule" />
+        </RuleState>
+        <RuleState>
+          <option name="name" value="StatusDashboardGroupingRule" />
+        </RuleState>
+      </list>
+    </option>
+  </component>
+  <component name="SvnConfiguration">
+    <configuration />
+  </component>
+  <component name="TaskManager">
+    <task active="true" id="Default" summary="Default task">
+      <changelist id="a5bb7211-a5b4-4090-96a6-1237b311e47e" name="Default Changelist" comment="" />
+      <created>1569954465602</created>
+      <option name="number" value="Default" />
+      <option name="presentableId" value="Default" />
+      <updated>1569954465602</updated>
+      <workItem from="1569954467445" duration="3369000" />
+    </task>
+    <servers />
+  </component>
+  <component name="TimeTrackingManager">
+    <option name="totallyTimeSpent" value="3369000" />
+  </component>
+  <component name="ToolWindowManager">
+    <frame x="607" y="23" width="1001" height="985" extended-state="0" />
+    <editor active="true" />
+    <layout>
+      <window_info id="aws.explorer" side_tool="true" />
+      <window_info id="Favorites" side_tool="true" />
+      <window_info active="true" content_ui="combo" id="Project" order="0" visible="true" weight="0.24921794" />
+      <window_info id="Structure" order="1" side_tool="true" weight="0.25" />
+      <window_info anchor="bottom" id="Docker" />
+      <window_info anchor="bottom" id="Database Changes" />
+      <window_info anchor="bottom" id="Version Control" />
+      <window_info anchor="bottom" id="Python Console" />
+      <window_info anchor="bottom" id="Terminal" />
+      <window_info anchor="bottom" id="Event Log" side_tool="true" />
+      <window_info anchor="bottom" id="Message" order="0" />
+      <window_info anchor="bottom" id="Find" order="1" />
+      <window_info anchor="bottom" id="Run" order="2" />
+      <window_info anchor="bottom" id="Debug" order="3" weight="0.4" />
+      <window_info anchor="bottom" id="Cvs" order="4" weight="0.25" />
+      <window_info anchor="bottom" id="Inspection" order="5" weight="0.4" />
+      <window_info anchor="bottom" id="TODO" order="6" />
+      <window_info anchor="right" id="Database" />
+      <window_info anchor="right" id="R Packages" />
+      <window_info anchor="right" id="SciView" />
+      <window_info anchor="right" id="R Graphics" />
+      <window_info anchor="right" id="Commander" internal_type="SLIDING" order="0" type="SLIDING" weight="0.4" />
+      <window_info anchor="right" id="Ant Build" order="1" weight="0.25" />
+      <window_info anchor="right" content_ui="combo" id="Hierarchy" order="2" weight="0.25" />
+    </layout>
+  </component>
+  <component name="TypeScriptGeneratedFilesManager">
+    <option name="version" value="1" />
+  </component>
+  <component name="editorHistoryManager">
+    <entry file="file://$PROJECT_DIR$/config/eddy_params.json">
+      <provider selected="true" editor-type-id="text-editor" />
+    </entry>
+    <entry file="file://$PROJECT_DIR$/cli/run.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="325">
+          <caret line="38" column="35" lean-forward="true" selection-start-line="38" selection-start-column="35" selection-end-line="38" selection-end-column="35" />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/utils/core.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="2940">
+          <caret line="196" column="9" lean-forward="true" selection-start-line="196" selection-start-column="9" selection-end-line="196" selection-end-column="9" />
+          <folding>
+            <element signature="e#0#47#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/config/b02b0_1.cnf">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="375">
+          <caret line="25" column="9" lean-forward="true" selection-end-line="25" selection-end-column="9" />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/config/b02b0.cnf">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="45">
+          <caret line="3" column="13" selection-start-line="3" selection-start-column="13" selection-end-line="3" selection-end-column="13" />
+        </state>
+      </provider>
+    </entry>
+  </component>
+</project>
\ No newline at end of file
diff --git a/dmriprep/__about__.py b/dmriprep/__about__.py
index 8f69a634..0b94bc0a 100644
--- a/dmriprep/__about__.py
+++ b/dmriprep/__about__.py
@@ -1,9 +1,10 @@
 # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
 # vi: set ft=python sts=4 ts=4 sw=4 et:
 """Base module variables."""
-from ._version import get_versions
-__version__ = get_versions()['version']
-del get_versions
+#from ._version import get_versions
+#__version__ = get_versions()['version']
+#del get_versions
+__version__ = '0.2.1'
 
 __packagename__ = 'dmriprep'
 __copyright__ = 'Copyright 2019, The dMRIPrep developers'
diff --git a/dmriprep/cli/run.py b/dmriprep/cli/run.py
index 05f74b0c..4837d96a 100755
--- a/dmriprep/cli/run.py
+++ b/dmriprep/cli/run.py
@@ -1,44 +1,22 @@
 #!/usr/bin/env python
 """dMRI preprocessing workflow."""
 
-import os
 from pathlib import Path
-import logging
 import sys
-import gc
 import uuid
 import warnings
+warnings.filterwarnings("ignore")
 from argparse import ArgumentParser
 from argparse import ArgumentDefaultsHelpFormatter
 from multiprocessing import cpu_count
 from time import strftime
 
-logging.addLevelName(25, 'IMPORTANT')  # Add a new level between INFO and WARNING
-logging.addLevelName(15, 'VERBOSE')  # Add a new level between INFO and DEBUG
-logger = logging.getLogger('cli')
-
-
-def _warn_redirect(message, category, filename, lineno, file=None, line=None):
-    logger.warning('Captured warning (%s): %s', category, message)
-
-
-def check_deps(workflow):
-    from nipype.utils.filemanip import which
-    return sorted(
-        (node.interface.__class__.__name__, node.interface._cmd)
-        for node in workflow._get_all_nodes()
-        if (hasattr(node.interface, '_cmd') and
-            which(node.interface._cmd.split()[0]) is None))
-
 
 def get_parser():
     """Build parser object"""
-    from smriprep.cli.utils import ParseTemplates, output_space as _output_space
-    from templateflow.api import templates
     from packaging.version import Version
-    from ..__about__ import __version__
-    from ..config import NONSTANDARD_REFERENCES
-    from .version import check_latest, is_flagged
+    from dmriprep.__about__ import __version__
+    from dmriprep.cli.version import check_latest, is_flagged
 
     verstr = 'dmriprep v{}'.format(__version__)
     currentv = Version(__version__)
@@ -51,379 +29,86 @@ def get_parser():
     # required, positional arguments
     # IMPORTANT: they must go directly with the parser object
     parser.add_argument('bids_dir', action='store', type=Path,
-                        help='the root folder of a BIDS valid dataset (sub-XXXXX folders should '
+                        help='The root folder of a BIDS valid dataset (sub-XXXXX folders should '
                              'be found at the top level in this folder).')
     parser.add_argument('output_dir', action='store', type=Path,
-                        help='the output path for the outcomes of preprocessing and visual '
+                        help='The output path for the outcomes of preprocessing and visual '
                              'reports')
     parser.add_argument('analysis_level', choices=['participant'],
-                        help='processing stage to be run, only "participant" in the case of '
+                        help='Processing stage to be run, only "participant" in the case of '
                              'dMRIPrep (see BIDS-Apps specification).')
 
     # optional arguments
     parser.add_argument('--version', action='version', version=verstr)
 
     g_bids = parser.add_argument_group('Options for filtering BIDS queries')
-    g_bids.add_argument('--skip-bids-validation', action='store_true', default=False,
-                        help='assume the input dataset is BIDS compliant and skip the validation')
-    g_bids.add_argument('--participant_label', '--participant-label', action='store', nargs='+',
-                        help='a space delimited list of participant identifiers or a single '
+    g_bids.add_argument('--skip_bids_validation', action='store_true', default=False,
+                        help='Assume the input dataset is BIDS compliant and skip the validation')
+    g_bids.add_argument('--participant_label', action='store', nargs='+',
+                        help='A space delimited list of participant identifiers or a single '
                              'identifier (the sub- prefix can be removed)')
-    # Re-enable when option is actually implemented
-    # g_bids.add_argument('-s', '--session-id', action='store', default='single_session',
-    #                     help='select a specific session to be processed')
-    # Re-enable when option is actually implemented
-    # g_bids.add_argument('-r', '--run-id', action='store', default='single_run',
-    #                     help='select a specific run to be processed')
-
+    g_bids.add_argument('-s', '--session_id', action='store', nargs='+',
+                        help='A space delimited list of session identifiers or a single '
+                             'identifier (the ses- prefix can be removed)')
     g_perfm = parser.add_argument_group('Options to handle performance')
-    g_perfm.add_argument('--nprocs', '--n_cpus', '-n-cpus', action='store', type=int,
-                         help='maximum number of threads across all processes')
-    g_perfm.add_argument('--omp-nthreads', action='store', type=int, default=0,
-                         help='maximum number of threads per-process')
-    g_perfm.add_argument('--mem_mb', '--mem-mb', action='store', default=0, type=int,
-                         help='upper bound memory limit for dMRIPrep processes')
-    g_perfm.add_argument('--low-mem', action='store_true',
-                         help='attempt to reduce memory usage (will increase disk usage '
-                              'in working directory)')
-    g_perfm.add_argument('--use-plugin', action='store', default=None,
-                         help='nipype plugin configuration file')
-    g_perfm.add_argument('--anat-only', action='store_true',
-                         help='run anatomical workflows only')
-    g_perfm.add_argument('--boilerplate', action='store_true',
-                         help='generate boilerplate only')
-    g_perfm.add_argument("-v", "--verbose", dest="verbose_count", action="count", default=0,
-                         help="increases log verbosity for each occurence, debug level is -vvv")
+    g_perfm.add_argument('--plugin', action='store', type=str, default='MultiProc',
+                         help='Plugin type. Options include MultiProc or Linear')
+    g_perfm.add_argument('--nprocs', '--n_cpus', action='store', type=int, default=8,
+                         help='Maximum number of threads across all processes. Minimum required is 8.')
+    g_perfm.add_argument('--omp_nthreads', action='store', type=int, default=2,
+                         help='Maximum number of threads per-process')
+    g_perfm.add_argument('--mem_gb', action='store', default=16, type=int,
+                         help='Upper bound memory limit for dMRIPrep processes. Minimum required is 16 GB.')
+    g_perfm.add_argument("-v", "--verbose", action="store_true", default=False,
+                         help="Perform debug and logging.")
 
     g_conf = parser.add_argument_group('Workflow configuration')
-    g_conf.add_argument(
-        '--ignore', required=False, action='store', nargs="+", default=[], choices=['sdc'],
-        help='ignore selected aspects of the input dataset to disable corresponding '
-             'parts of the workflow (a space delimited list)')
-    g_conf.add_argument(
-        '--longitudinal', action='store_true',
-        help='treat dataset as longitudinal - may increase runtime')
-    g_conf.add_argument(
-        '--output-spaces', nargs='+', action=ParseTemplates,
-        help="""\
-Standard and non-standard spaces to resample anatomical and functional images to. \
-Standard spaces may be specified by the form \
-``<TEMPLATE>[:res-<resolution>][:cohort-<label>][...]``, where ``<TEMPLATE>`` is \
-a keyword (valid keywords: %s) or path pointing to a user-supplied template, and \
-may be followed by optional, colon-separated parameters. \
-Non-standard spaces (valid keywords: %s) imply specific orientations and sampling \
-grids. \
-Important to note, the ``res-*`` modifier does not define the resolution used for \
-the spatial normalization.
-For further details, please check out \
-https://dmriprep.readthedocs.io/en/%s/spaces.html""" % (
-            ', '.join('"%s"' % s for s in templates()), ', '.join(NONSTANDARD_REFERENCES),
-            currentv.base_version if is_release else 'latest'))
-
-    #  ANTs options
-    g_ants = parser.add_argument_group('Specific options for ANTs registrations')
-    g_ants.add_argument(
-        '--skull-strip-template', action='store', default='OASIS30ANTs', type=_output_space,
-        help='select a template for skull-stripping with antsBrainExtraction')
-    g_ants.add_argument('--skull-strip-fixed-seed', action='store_true',
-                        help='do not use a random seed for skull-stripping - will ensure '
-                             'run-to-run replicability when used with --omp-nthreads 1')
-
-    # Fieldmap options
-    g_fmap = parser.add_argument_group('Specific options for handling fieldmaps')
-    g_fmap.add_argument('--fmap-bspline', action='store_true', default=False,
-                        help='fit a B-Spline field using least-squares (experimental)')
-    g_fmap.add_argument('--fmap-no-demean', action='store_false', default=True,
-                        help='do not remove median (within mask) from fieldmap')
-
-    # SyN-unwarp options
-    g_syn = parser.add_argument_group('Specific options for SyN distortion correction')
-    g_syn.add_argument('--use-syn-sdc', action='store_true', default=False,
-                       help='EXPERIMENTAL: Use fieldmap-free distortion correction')
-    g_syn.add_argument('--force-syn', action='store_true', default=False,
-                       help='EXPERIMENTAL/TEMPORARY: Use SyN correction in addition to '
-                       'fieldmap correction, if available')
-
-    # FreeSurfer options
-    g_fs = parser.add_argument_group('Specific options for FreeSurfer preprocessing')
-    g_fs.add_argument(
-        '--fs-license-file', metavar='PATH', type=Path,
-        help='Path to FreeSurfer license key file. Get it (for free) by registering'
-             ' at https://surfer.nmr.mgh.harvard.edu/registration.html')
-
-    # Surface generation xor
-    g_surfs = parser.add_argument_group('Surface preprocessing options')
-    g_surfs_xor = g_surfs.add_mutually_exclusive_group()
-    g_surfs_xor.add_argument('--no-submm-recon', action='store_false', dest='hires',
-                             help='disable sub-millimeter (hires) reconstruction')
-    g_surfs_xor.add_argument('--fs-no-reconall', '--no-freesurfer',
-                             action='store_false', dest='run_reconall',
-                             help='disable FreeSurfer surface preprocessing.'
-                             ' Note : `--no-freesurfer` is deprecated and will be removed in 1.2.'
-                             ' Use `--fs-no-reconall` instead.')
+    g_conf.add_argument('--sdc_method', action='store', default='topup',
+                        help='Susceptibility distortion correction type')
+    g_conf.add_argument('--denoise_strategy', action='store', default='mppca',
+                        help='Denoising strategy. Choices include: mppca, nlmeans, localpca, and nlsam')
+    g_conf.add_argument('--outlier_threshold', action='store', default=0.02,
+                        help='Percent of bad slices required to reject volume.')
+    g_conf.add_argument('--vox_size', action='store', default='1mm',
+                        help='Voxel resolution in mm.')
 
     g_other = parser.add_argument_group('Other options')
-    g_other.add_argument('-w', '--work-dir', action='store', type=Path, default=Path('work'),
-                         help='path where intermediate results should be stored')
-    g_other.add_argument(
-        '--resource-monitor', action='store_true', default=False,
-        help='enable Nipype\'s resource monitoring to keep track of memory and CPU usage')
-    g_other.add_argument(
-        '--reports-only', action='store_true', default=False,
-        help='only generate reports, don\'t run workflows. This will only rerun report '
-             'aggregation, not reportlet generation for specific nodes.')
-    g_other.add_argument(
-        '--run-uuid', action='store', default=None,
-        help='Specify UUID of previous run, to include error logs in report. '
-             'No effect without --reports-only.')
-    g_other.add_argument('--write-graph', action='store_true', default=False,
+    g_other.add_argument('-w', '--work_dir', action='store', type=Path, default=Path('/tmp/work'),
+                         help='Path where intermediate results should be stored. Default is /tmp/work')
+    g_other.add_argument('--write_graph', action='store_true', default=False,
                          help='Write workflow graph.')
-    g_other.add_argument('--stop-on-first-crash', action='store_true', default=False,
-                         help='Force stopping on first crash, even if a work directory'
-                              ' was specified.')
-    g_other.add_argument('--notrack', action='store_true', default=False,
-                         help='Opt-out of sending tracking information of this run to '
-                              'the dMRIPrep developers. This information helps to '
-                              'improve dMRIPrep and provides an indicator of real '
-                              'world usage crucial for obtaining funding.')
-    g_other.add_argument('--sloppy', action='store_true', default=False, dest='debug',
-                         help='Use low-quality tools for speed - TESTING ONLY')
 
     latest = check_latest()
     if latest is not None and currentv < latest:
-        print("""\
-You are using dMRIPrep-%s, and a newer version of dMRIPrep is available: %s.
-Please check out our documentation about how and when to upgrade:
-https://dmriprep.readthedocs.io/en/latest/faq.html#upgrading""" % (
+        print("""You are using dMRIPrep-%s, and a newer version of dMRIPrep is available: %s. 
+        Please check out our documentation about how and when to upgrade: 
+        https://dmriprep.readthedocs.io/en/latest/faq.html#upgrading""" % (
             __version__, latest), file=sys.stderr)
 
     _blist = is_flagged()
     if _blist[0]:
         _reason = _blist[1] or 'unknown'
-        print("""\
-WARNING: Version %s of dMRIPrep (current) has been FLAGGED
-(reason: %s).
-That means some severe flaw was found in it and we strongly
-discourage its usage.""" % (__version__, _reason), file=sys.stderr)
+        print("""WARNING: Version %s of dMRIPrep (current) has been FLAGGED (reason: %s). 
+        That means some severe flaw was found in it and we strongly 
+        discourage its usage.""" % (__version__, _reason), file=sys.stderr)
 
     return parser
 
 
-def main():
-    """Entry point"""
-    from nipype import logging as nlogging
-    from multiprocessing import set_start_method, Process, Manager
-    from ..utils.bids import write_derivative_description, validate_input_dir
-    set_start_method('forkserver')
-    warnings.showwarning = _warn_redirect
-    opts = get_parser().parse_args()
-
-    exec_env = os.name
-
-    # special variable set in the container
-    if os.getenv('IS_DOCKER_8395080871'):
-        exec_env = 'singularity'
-        cgroup = Path('/proc/1/cgroup')
-        if cgroup.exists() and 'docker' in cgroup.read_text():
-            exec_env = 'docker'
-            if os.getenv('DOCKER_VERSION_8395080871'):
-                exec_env = 'dmriprep-docker'
-
-    sentry_sdk = None
-    if not opts.notrack:
-        import sentry_sdk
-        from ..utils.sentry import sentry_setup
-        sentry_setup(opts, exec_env)
-
-    if opts.debug:
-        print('WARNING: Option --debug is deprecated and has no effect',
-              file=sys.stderr)
-
-    # Validate inputs
-    if not opts.skip_bids_validation:
-        print("Making sure the input data is BIDS compliant (warnings can be ignored in most "
-              "cases).")
-        validate_input_dir(exec_env, opts.bids_dir, opts.participant_label)
-
-    # FreeSurfer license
-    default_license = str(Path(os.getenv('FREESURFER_HOME')) / 'license.txt')
-    # Precedence: --fs-license-file, $FS_LICENSE, default_license
-    license_file = opts.fs_license_file or Path(os.getenv('FS_LICENSE', default_license))
-    if not license_file.exists():
-        raise RuntimeError("""\
-ERROR: a valid license file is required for FreeSurfer to run. dMRIPrep looked for an existing \
-license file at several paths, in this order: 1) command line argument ``--fs-license-file``; \
-2) ``$FS_LICENSE`` environment variable; and 3) the ``$FREESURFER_HOME/license.txt`` path. Get it \
-(for free) by registering at https://surfer.nmr.mgh.harvard.edu/registration.html""")
-    os.environ['FS_LICENSE'] = str(license_file.resolve())
-
-    # Retrieve logging level
-    log_level = int(max(25 - 5 * opts.verbose_count, logging.DEBUG))
-    # Set logging
-    logger.setLevel(log_level)
-    nlogging.getLogger('nipype.workflow').setLevel(log_level)
-    nlogging.getLogger('nipype.interface').setLevel(log_level)
-    nlogging.getLogger('nipype.utils').setLevel(log_level)
-
-    # Call build_workflow(opts, retval)
-    with Manager() as mgr:
-        retval = mgr.dict()
-        p = Process(target=build_workflow, args=(opts, retval))
-        p.start()
-        p.join()
-
-        retcode = p.exitcode or retval.get('return_code', 0)
-
-        bids_dir = Path(retval.get('bids_dir'))
-        output_dir = Path(retval.get('output_dir'))
-        work_dir = Path(retval.get('work_dir'))
-        plugin_settings = retval.get('plugin_settings', None)
-        subject_list = retval.get('subject_list', None)
-        dmriprep_wf = retval.get('workflow', None)
-        run_uuid = retval.get('run_uuid', None)
-
-    if opts.reports_only:
-        sys.exit(int(retcode > 0))
-
-    if opts.boilerplate:
-        sys.exit(int(retcode > 0))
-
-    if dmriprep_wf and opts.write_graph:
-        dmriprep_wf.write_graph(graph2use="colored", format='svg', simple_form=True)
-
-    retcode = retcode or int(dmriprep_wf is None)
-    if retcode != 0:
-        sys.exit(retcode)
-
-    # Check workflow for missing commands
-    missing = check_deps(dmriprep_wf)
-    if missing:
-        print("Cannot run dMRIPrep. Missing dependencies:", file=sys.stderr)
-        for iface, cmd in missing:
-            print("\t{} (Interface: {})".format(cmd, iface))
-        sys.exit(2)
-    # Clean up master process before running workflow, which may create forks
-    gc.collect()
-
-    # Sentry tracking
-    if not opts.notrack:
-        from ..utils.sentry import start_ping
-        start_ping(run_uuid, len(subject_list))
-
-    errno = 1  # Default is error exit unless otherwise set
-    try:
-        dmriprep_wf.run(**plugin_settings)
-    except Exception as e:
-        if not opts.notrack:
-            from ..utils.sentry import process_crashfile
-            crashfolders = [output_dir / 'dmriprep' / 'sub-{}'.format(s) / 'log' / run_uuid
-                            for s in subject_list]
-            for crashfolder in crashfolders:
-                for crashfile in crashfolder.glob('crash*.*'):
-                    process_crashfile(crashfile)
-
-            if "Workflow did not execute cleanly" not in str(e):
-                sentry_sdk.capture_exception(e)
-        logger.critical('dMRIPrep failed: %s', e)
-        raise
-    else:
-        if opts.run_reconall:
-            from templateflow import api
-            from niworkflows.utils.misc import _copy_any
-            dseg_tsv = str(api.get('fsaverage', suffix='dseg', extension=['.tsv']))
-            _copy_any(dseg_tsv,
-                      str(output_dir / 'dmriprep' / 'desc-aseg_dseg.tsv'))
-            _copy_any(dseg_tsv,
-                      str(output_dir / 'dmriprep' / 'desc-aparcaseg_dseg.tsv'))
-        errno = 0
-        logger.log(25, 'dMRIPrep finished without errors')
-        if not opts.notrack:
-            sentry_sdk.capture_message('dMRIPrep finished without errors',
-                                       level='info')
-    finally:
-        from niworkflows.reports import generate_reports
-        from subprocess import check_call, CalledProcessError, TimeoutExpired
-        from pkg_resources import resource_filename as pkgrf
-        from shutil import copyfile
-
-        citation_files = {
-            ext: output_dir / 'dmriprep' / 'logs' / ('CITATION.%s' % ext)
-            for ext in ('bib', 'tex', 'md', 'html')
-        }
-
-        if citation_files['md'].exists():
-            # Generate HTML file resolving citations
-            cmd = ['pandoc', '-s', '--bibliography',
-                   pkgrf('dmriprep', 'data/boilerplate.bib'),
-                   '--filter', 'pandoc-citeproc',
-                   '--metadata', 'pagetitle="dMRIPrep citation boilerplate"',
-                   str(citation_files['md']),
-                   '-o', str(citation_files['html'])]
-
-            logger.info('Generating an HTML version of the citation boilerplate...')
-            try:
-                check_call(cmd, timeout=10)
-            except (FileNotFoundError, CalledProcessError, TimeoutExpired):
-                logger.warning('Could not generate CITATION.html file:\n%s',
-                               ' '.join(cmd))
-
-            # Generate LaTex file resolving citations
-            cmd = ['pandoc', '-s', '--bibliography',
-                   pkgrf('dmriprep', 'data/boilerplate.bib'),
-                   '--natbib', str(citation_files['md']),
-                   '-o', str(citation_files['tex'])]
-            logger.info('Generating a LaTeX version of the citation boilerplate...')
-            try:
-                check_call(cmd, timeout=10)
-            except (FileNotFoundError, CalledProcessError, TimeoutExpired):
-                logger.warning('Could not generate CITATION.tex file:\n%s',
-                               ' '.join(cmd))
-            else:
-                copyfile(pkgrf('dmriprep', 'data/boilerplate.bib'),
-                         citation_files['bib'])
-        else:
-            logger.warning('dMRIPrep could not find the markdown version of '
-                           'the citation boilerplate (%s). HTML and LaTeX versions'
-                           ' of it will not be available', citation_files['md'])
-
-        # Generate reports phase
-        failed_reports = generate_reports(
-            subject_list, output_dir, work_dir, run_uuid, packagename='dmriprep')
-        write_derivative_description(bids_dir, output_dir / 'dmriprep')
-
-        if failed_reports and not opts.notrack:
-            sentry_sdk.capture_message(
-                'Report generation failed for %d subjects' % failed_reports,
-                level='error')
-        sys.exit(int((errno + failed_reports) > 0))
-
-
 def build_workflow(opts, retval):
-    """
-    Create the Nipype Workflow that supports the whole execution
-    graph, given the inputs.
-
-    All the checks and the construction of the workflow are done
-    inside this function that has pickleable inputs and output
-    dictionary (``retval``) to allow isolation using a
-    ``multiprocessing.Process`` that allows dmriprep to enforce
-    a hard-limited memory-scope.
-
-    """
+    import numpy as np
+    import shutil
+    import os
     from bids import BIDSLayout
-
-    from nipype import logging as nlogging, config as ncfg
-    from niworkflows.utils.bids import collect_participants
-    from niworkflows.reports import generate_reports
-    from ..__about__ import __version__
-    from ..workflows.base import init_dmriprep_wf
-
-    build_log = nlogging.getLogger('nipype.workflow')
+    from dmriprep.__about__ import __version__
+    from dmriprep.workflows.dwi.base import init_base_wf
+    from dmriprep.utils.bids import collect_sessions, get_bids_dict
 
     INIT_MSG = """
     Running dMRIPrep version {version}:
       * BIDS dataset path: {bids_dir}.
-      * Participant list: {subject_list}.
+      * Participant list: {subject}.
+      * Session list: {session}.
       * Run identifier: {uuid}.
     """.format
 
@@ -438,175 +123,168 @@ def build_workflow(opts, retval):
     retval['work_dir'] = str(work_dir)
 
     if output_dir == bids_dir:
-        build_log.error(
+        ValueError(
             'The selected output folder is the same as the input BIDS folder. '
             'Please modify the output path (suggestion: %s).',
             bids_dir / 'derivatives' / ('dmriprep-%s' % __version__.split('+')[0]))
         retval['return_code'] = 1
         return retval
 
-    output_spaces = parse_spaces(opts)
-
     # Set up some instrumental utilities
     run_uuid = '%s_%s' % (strftime('%Y%m%d-%H%M%S'), uuid.uuid4())
     retval['run_uuid'] = run_uuid
 
     # First check that bids_dir looks like a BIDS folder
-    layout = BIDSLayout(str(bids_dir), validate=False)
-    subject_list = collect_participants(
-        layout, participant_label=opts.participant_label)
-    retval['subject_list'] = subject_list
-
-    # Load base plugin_settings from file if --use-plugin
-    if opts.use_plugin is not None:
-        from yaml import load as loadyml
-        with open(opts.use_plugin) as f:
-            plugin_settings = loadyml(f)
-        plugin_settings.setdefault('plugin_args', {})
+    if opts.skip_bids_validation is True:
+        validate = False
     else:
-        # Defaults
-        plugin_settings = {
-            'plugin': 'MultiProc',
-            'plugin_args': {
-                'raise_insufficient': False,
-                'maxtasksperchild': 1,
-            }
-        }
+        validate = True
+    layout = BIDSLayout(str(bids_dir), validate=validate)
+    bids_dict = get_bids_dict(layout, opts.participant_label, opts.session_id)
+    subjects_list = list(list(bids_dict.keys())[0])
+    session_list = list(list(bids_dict.values())[0].keys())
+    retval['subject_list'] = subjects_list
+    retval['session_list'] = session_list
 
     # Resource management options
-    # Note that we're making strong assumptions about valid plugin args
-    # This may need to be revisited if people try to use batch plugins
-    nprocs = plugin_settings['plugin_args'].get('n_procs')
-    # Permit overriding plugin config with specific CLI options
-    if nprocs is None or opts.nprocs is not None:
-        nprocs = opts.nprocs
-        if nprocs is None or nprocs < 1:
-            nprocs = cpu_count()
-        plugin_settings['plugin_args']['n_procs'] = nprocs
-
-    if opts.mem_mb:
-        plugin_settings['plugin_args']['memory_gb'] = opts.mem_mb / 1024
-
     omp_nthreads = opts.omp_nthreads
+    mem_gb = opts.mem_gb
+    nprocs = opts.nprocs
+    if nprocs is None:
+        nprocs = cpu_count()
+
     if omp_nthreads == 0:
-        omp_nthreads = min(nprocs - 1 if nprocs > 1 else cpu_count(), 8)
+        omp_nthreads = int(np.round(min(float(nprocs) - 1 if float(nprocs) > 1 else cpu_count(), 8)), 0)
 
-    if 1 < nprocs < omp_nthreads:
-        build_log.warning(
-            'Per-process threads (--omp-nthreads=%d) exceed total '
-            'threads (--nprocs/--n_cpus=%d)', omp_nthreads, nprocs)
-    retval['plugin_settings'] = plugin_settings
+    if 1 < float(nprocs) < float(omp_nthreads):
+        raise RuntimeWarning('Per-process threads (--omp_nthreads=%d) exceed total threads (--nprocs/--n_cpus=%d)',
+                             omp_nthreads, nprocs)
 
     # Set up directories
     log_dir = output_dir / 'dmriprep' / 'logs'
+
     # Check and create output and working directories
     output_dir.mkdir(exist_ok=True, parents=True)
     log_dir.mkdir(exist_ok=True, parents=True)
     work_dir.mkdir(exist_ok=True, parents=True)
 
-    # Nipype config (logs and execution)
-    ncfg.update_config({
-        'logging': {
-            'log_directory': str(log_dir),
-            'log_to_file': True
-        },
-        'execution': {
-            'crashdump_dir': str(log_dir),
-            'crashfile_format': 'txt',
-            'get_linked_libs': False,
-            'stop_on_first_crash': opts.stop_on_first_crash,
-        },
-        'monitoring': {
-            'enabled': opts.resource_monitor,
-            'sample_frequency': '0.5',
-            'summary_append': True,
+    uuid_dir = str(work_dir) + '/' + str(run_uuid)
+    if os.path.exists(uuid_dir):
+        shutil.rmtree(uuid_dir)
+    os.mkdir(uuid_dir)
+
+    # Single-subject pipeline
+    wf = init_base_wf(
+            bids_dict=bids_dict,
+            output_dir=str(output_dir),
+            sdc_method=opts.sdc_method,
+            denoise_strategy=opts.denoise_strategy,
+            vox_size=opts.vox_size,
+            outlier_thresh=opts.outlier_threshold,
+            omp_nthreads=omp_nthreads,
+            work_dir=uuid_dir
+        )
+
+    wf.base_dir = uuid_dir
+
+    if opts.verbose is True:
+        from nipype import config, logging
+        cfg_v = dict(logging={'workflow_level': 'DEBUG', 'utils_level': 'DEBUG', 'interface_level': 'DEBUG',
+                              'log_directory': str(log_dir), 'log_to_file': True},
+                     monitoring={'enabled': True, 'sample_frequency': '0.1', 'summary_append': True,
+                                 'summary_file': str(wf.base_dir)})
+        logging.update_logging(config)
+        config.update_config(cfg_v)
+        config.enable_debug_mode()
+        config.enable_resource_monitor()
+
+        import logging
+        callback_log_path = "%s%s" % (wf.base_dir, '/run_stats.log')
+        logger = logging.getLogger('callback')
+        logger.setLevel(logging.DEBUG)
+        handler = logging.FileHandler(callback_log_path)
+        logger.addHandler(handler)
+
+    # Set runtime/logging configurations
+    plugin_type = opts.plugin
+    cfg = dict(
+        execution={
+            "stop_on_first_crash": False,
+            "hash_method": "content",
+            "crashfile_format": "txt",
+            "display_variable": ":0",
+            "job_finished_timeout": 65,
+            "matplotlib_backend": "Agg",
+            "plugin": plugin_type,
+            "use_relative_paths": True,
+            "parameterize_dirs": True,
+            "remove_unnecessary_outputs": False,
+            "remove_node_directories": False,
+            "poll_sleep_duration": 0.1,
         }
-    })
-
-    if opts.resource_monitor:
-        ncfg.enable_resource_monitor()
-
-    # Called with reports only
-    if opts.reports_only:
-        build_log.log(25, 'Running --reports-only on participants %s', ', '.join(subject_list))
-        if opts.run_uuid is not None:
-            run_uuid = opts.run_uuid
-            retval['run_uuid'] = run_uuid
-        retval['return_code'] = generate_reports(
-            subject_list, output_dir, work_dir, run_uuid,
-            packagename='dmriprep')
-        return retval
-
-    # Build main workflow
-    build_log.log(25, INIT_MSG(
-        version=__version__,
-        bids_dir=bids_dir,
-        subject_list=subject_list,
-        uuid=run_uuid)
-    )
-
-    retval['workflow'] = init_dmriprep_wf(
-        anat_only=opts.anat_only,
-        debug=opts.debug,
-        force_syn=opts.force_syn,
-        freesurfer=opts.run_reconall,
-        hires=opts.hires,
-        ignore=opts.ignore,
-        layout=layout,
-        longitudinal=opts.longitudinal,
-        low_mem=opts.low_mem,
-        omp_nthreads=omp_nthreads,
-        output_dir=str(output_dir),
-        output_spaces=output_spaces,
-        run_uuid=run_uuid,
-        skull_strip_fixed_seed=opts.skull_strip_fixed_seed,
-        skull_strip_template=opts.skull_strip_template,
-        subject_list=subject_list,
-        use_syn=opts.use_syn_sdc,
-        work_dir=str(work_dir),
     )
+    for key in cfg.keys():
+        for setting, value in cfg[key].items():
+            wf.config[key][setting] = value
+    try:
+        wf.write_graph(graph2use="colored", format='png')
+    except:
+        pass
+
+    if opts.verbose is True:
+        from nipype.utils.profiler import log_nodes_cb
+        plugin_args = {'n_procs': int(nprocs),
+                       'memory_gb': int(mem_gb),
+                       'status_callback': log_nodes_cb}
+    else:
+        plugin_args = {'n_procs': int(nprocs),
+                       'memory_gb': int(mem_gb)}
+    print("%s%s%s" % ('\nRunning with ', str(plugin_args), '\n'))
+    wf.run(plugin=str(plugin_type), plugin_args=plugin_args)
     retval['return_code'] = 0
 
-    logs_path = Path(output_dir) / 'dmriprep' / 'logs'
-    boilerplate = retval['workflow'].visit_desc()
+    if opts.verbose is True:
+        from nipype.utils.draw_gantt_chart import generate_gantt_chart
+        print('Plotting resource profile from run...')
+        generate_gantt_chart("%s%s" % (wf.base_dir, '/run_stats.log'),
+                             cores=int(nprocs))
+        handler.close()
+        logger.removeHandler(handler)
 
-    if boilerplate:
-        citation_files = {
-            ext: logs_path / ('CITATION.%s' % ext)
-            for ext in ('bib', 'tex', 'md', 'html')
-        }
-        # To please git-annex users and also to guarantee consistency
-        # among different renderings of the same file, first remove any
-        # existing one
-        for citation_file in citation_files.values():
-            try:
-                citation_file.unlink()
-            except FileNotFoundError:
-                pass
-
-        citation_files['md'].write_text(boilerplate)
-        build_log.log(25, 'Works derived from this dMRIPrep execution should '
-                      'include the following boilerplate:\n\n%s', boilerplate)
-    return retval
-
-
-def parse_spaces(opts):
-    """Ensure the spaces are correctly parsed."""
-    from sys import stderr
-    from collections import OrderedDict
-    # Set the default template to 'MNI152NLin2009cAsym'
-    output_spaces = opts.output_spaces or OrderedDict([('MNI152NLin2009cAsym', {})])
-
-    FS_SPACES = set(['fsnative', 'fsaverage', 'fsaverage6', 'fsaverage5'])
-    if opts.run_reconall and not list(FS_SPACES.intersection(output_spaces.keys())):
-        print("""\
-Although ``--fs-no-reconall`` was not set (i.e., FreeSurfer is to be run), no FreeSurfer \
-output space (valid values are: %s) was selected. Adding default "fsaverage5" to the \
-list of output spaces.""" % ', '.join(FS_SPACES), file=stderr)
-        output_spaces['fsaverage5'] = {}
-    return output_spaces
+    return
+
+
+def main():
+    """Initializes main script from command-line call to generate single-subject or multi-subject workflow(s)"""
+    import sys
+    try:
+        import dmriprep
+    except ImportError:
+        print('dmriprep not installed! Ensure that you are referencing the correct site-packages and using Python3.5+')
+
+    if len(sys.argv) < 1:
+        print("\nMissing command-line inputs! See help options with the -h flag.\n")
+        sys.exit()
+
+    opts = get_parser().parse_args()
+
+    try:
+        from multiprocessing import set_start_method, Process, Manager
+        set_start_method('forkserver')
+        with Manager() as mgr:
+            retval = mgr.dict()
+            p = Process(target=build_workflow, args=(opts, retval))
+            p.start()
+            p.join()
+
+            if p.exitcode != 0:
+                sys.exit(p.exitcode)
+    except:
+        print('\nWARNING: Forkserver failed to initialize. Are you using Python3 ?')
+        retval = dict()
+        build_workflow(opts, retval)
 
 
 if __name__ == '__main__':
-    raise RuntimeError("dmriprep/cli/run.py should not be run directly;\n"
-                       "Please `pip install` dmriprep and use the `dmriprep` command")
+    __spec__ = "ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>)"
+    main()
diff --git a/dmriprep/cli/version.py b/dmriprep/cli/version.py
index 88e3a651..3338d5ae 100644
--- a/dmriprep/cli/version.py
+++ b/dmriprep/cli/version.py
@@ -63,8 +63,8 @@ def is_flagged():
     # https://raw.githubusercontent.com/poldracklab/dmriprep/master/.versions.json
     flagged = tuple()
     try:
-        response = requests.get(url="""\
-https://raw.githubusercontent.com/poldracklab/dmriprep/master/.versions.json""", timeout=1.0)
+        response = requests.get(url="""https://raw.githubusercontent.com/poldracklab/dmriprep/master/.versions.json""",
+                                timeout=1.0)
     except Exception:
         response = None
 
diff --git a/dmriprep/config/__init__.py b/dmriprep/config/__init__.py
index 8f7e8bdc..e69de29b 100644
--- a/dmriprep/config/__init__.py
+++ b/dmriprep/config/__init__.py
@@ -1,5 +0,0 @@
-# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
-# vi: set ft=python sts=4 ts=4 sw=4 et:
-"""Settings."""
-
-NONSTANDARD_REFERENCES = ['anat', 'T1w', 'dwi', 'fsnative']
diff --git a/dmriprep/config/b02b0.cnf b/dmriprep/config/b02b0.cnf
new file mode 100644
index 00000000..0f45b6ab
--- /dev/null
+++ b/dmriprep/config/b02b0.cnf
@@ -0,0 +1,26 @@
+# Resolution (knot-spacing) of warps in mm
+--warpres=20,16,10,6
+# Subsampling level (a value of 2 indicates that a 2x2x2 neighbourhood is collapsed to 1 voxel)
+--subsamp=2,2,1,1
+# FWHM of gaussian smoothing
+--fwhm=6,4,2,0
+# Maximum number of iterations
+--miter=5,5,10,20
+# Relative weight of regularisation
+--lambda=0.0005,0.00001,0.0000005,0.0000000005
+# If set to 1 lambda is multiplied by the current average squared difference
+--ssqlambda=1
+# Regularisation model
+--regmod=bending_energy
+# If set to 1 movements are estimated along with the field
+--estmov=1,1,0,0
+# 0=Levenberg-Marquardt, 1=Scaled Conjugate Gradient
+--minmet=0,0,1,1
+# Quadratic or cubic splines
+--splineorder=3
+# Precision for calculation and storage of Hessian
+--numprec=double
+# Linear or spline interpolation
+--interp=spline
+# If set to 1 the images are individually scaled to a common mean intensity
+--scale=1
\ No newline at end of file
diff --git a/dmriprep/config/b02b0_1.cnf b/dmriprep/config/b02b0_1.cnf
new file mode 100644
index 00000000..a1dd571d
--- /dev/null
+++ b/dmriprep/config/b02b0_1.cnf
@@ -0,0 +1,26 @@
+# Resolution (knot-spacing) of warps in mm
+--warpres=20,16,10,6
+# Subsampling level (a value of 2 indicates that a 2x2x2 neighbourhood is collapsed to 1 voxel)
+--subsamp=1,1,1,1
+# FWHM of gaussian smoothing
+--fwhm=6,4,2,0
+# Maximum number of iterations
+--miter=5,5,10,20
+# Relative weight of regularisation
+--lambda=0.0005,0.00001,0.0000005,0.0000000005
+# If set to 1 lambda is multiplied by the current average squared difference
+--ssqlambda=1
+# Regularisation model
+--regmod=bending_energy
+# If set to 1 movements are estimated along with the field
+--estmov=1,1,0,0
+# 0=Levenberg-Marquardt, 1=Scaled Conjugate Gradient
+--minmet=0,0,1,1
+# Quadratic or cubic splines
+--splineorder=3
+# Precision for calculation and storage of Hessian
+--numprec=double
+# Linear or spline interpolation
+--interp=spline
+# If set to 1 the images are individually scaled to a common mean intensity
+--scale=1
\ No newline at end of file
diff --git a/dmriprep/config/eddy_params.json b/dmriprep/config/eddy_params.json
new file mode 100644
index 00000000..9b7c5961
--- /dev/null
+++ b/dmriprep/config/eddy_params.json
@@ -0,0 +1,18 @@
+{
+  "flm": "quadratic",
+  "fep": false,
+  "interp": "spline",
+  "nvoxhp": 1000,
+  "fudge_factor": 10,
+  "dont_sep_offs_move": false,
+  "dont_peas": false,
+  "niter": 5,
+  "method": "jac",
+  "repol": true,
+  "num_threads": 1,
+  "is_shelled": false,
+  "use_cuda": false,
+  "cnr_maps": true,
+  "residuals": true,
+  "output_type": "NIFTI_GZ"
+}
diff --git a/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz b/dmriprep/data/ENIGMA_targets/ENIGMA_DTI_FA.nii.gz
deleted file mode 100755
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diff --git a/dmriprep/data/__init__.py b/dmriprep/data/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/dmriprep/data/boilerplate.bib b/dmriprep/data/boilerplate.bib
deleted file mode 100644
index 9946a723..00000000
--- a/dmriprep/data/boilerplate.bib
+++ /dev/null
@@ -1,349 +0,0 @@
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-    author = {Jenkinson, Mark and Bannister, Peter and Brady, Michael and Smith, Stephen},
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-    number = {Supplement C},
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-    shorttitle = {ICA-AROMA},
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-    doi = {10.1016/j.neuroimage.2012.08.052},
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-    author = {Abraham, Alexandre and Pedregosa, Fabian and Eickenberg, Michael and Gervais, Philippe and Mueller, Andreas and Kossaifi, Jean and Gramfort, Alexandre and Thirion, Bertrand and Varoquaux, Gael},
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-}
diff --git a/dmriprep/data/eddy_parameters.json b/dmriprep/data/eddy_parameters.json
deleted file mode 100644
index 0c7b08f9..00000000
--- a/dmriprep/data/eddy_parameters.json
+++ /dev/null
@@ -1,27 +0,0 @@
-{
-    "flm": "quadratic",
-    "slm": "none",
-    "fwhm": 0,
-    "niter": 5,
-    "fep": false,
-    "interp": "spline",
-    "method": "jac",
-    "nvoxhp": 1000,
-    "fudge_factor": 10,
-    "dont_sep_offs_move": false,
-    "dont_peas": false,
-    "repol": true,
-    "outlier_nstd": 4,
-    "outlier_nvox": 250,
-    "outlier_type": "sw",
-    "outlier_pos": false,
-    "outlier_sqr": false,
-    "estimate_mov_by_susceptibility": false,
-    "is_shelled": false,
-    "num_threads": 1,
-    "use_cuda": false,
-    "cnr_maps": true,
-    "residuals": true,
-    "output_type": "NIFTI_GZ",
-    "args": ""
-}
diff --git a/dmriprep/interfaces/__init__.py b/dmriprep/interfaces/__init__.py
index 55e90fe4..e69de29b 100644
--- a/dmriprep/interfaces/__init__.py
+++ b/dmriprep/interfaces/__init__.py
@@ -1,53 +0,0 @@
-# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
-# vi: set ft=python sts=4 ts=4 sw=4 et:
-"""Custom Nipype interfaces for dMRIPrep."""
-from nipype.interfaces.base import OutputMultiObject, SimpleInterface
-from niworkflows.interfaces.bids import (
-    DerivativesDataSink as _DDS,
-    BIDSDataGrabberOutputSpec as _BIDSDataGrabberOutputSpec,
-    BIDSDataGrabberInputSpec,
-    LOGGER as _LOGGER,
-)
-
-
-class DerivativesDataSink(_DDS):
-    """A patched DataSink."""
-
-    out_path_base = 'dmriprep'
-
-
-class BIDSDataGrabberOutputSpec(_BIDSDataGrabberOutputSpec):
-    dwi = OutputMultiObject(desc='output DWI images')
-
-
-class BIDSDataGrabber(SimpleInterface):
-    input_spec = BIDSDataGrabberInputSpec
-    output_spec = BIDSDataGrabberOutputSpec
-    _require_dwis = True
-
-    def __init__(self, *args, **kwargs):
-        anat_only = kwargs.pop('anat_only', False)
-        super(BIDSDataGrabber, self).__init__(*args, **kwargs)
-        if anat_only is not None:
-            self._require_dwis = not anat_only
-
-    def _run_interface(self, runtime):
-        bids_dict = self.inputs.subject_data
-
-        self._results['out_dict'] = bids_dict
-        self._results.update(bids_dict)
-
-        if not bids_dict['t1w']:
-            raise FileNotFoundError('No T1w images found for subject sub-{}'.format(
-                self.inputs.subject_id))
-
-        if self._require_dwis and not bids_dict['dwi']:
-            raise FileNotFoundError('No diffusion weighted images found for subject sub-{}'.format(
-                self.inputs.subject_id))
-
-        for imtype in ['dwi', 't2w', 'flair', 'fmap', 'roi']:
-            if not bids_dict[imtype]:
-                _LOGGER.warning('No "%s" images found for sub-%s',
-                                imtype, self.inputs.subject_id)
-
-        return runtime
diff --git a/dmriprep/interfaces/fmap.py b/dmriprep/interfaces/fmap.py
index 85c0996b..b1a6e9cd 100644
--- a/dmriprep/interfaces/fmap.py
+++ b/dmriprep/interfaces/fmap.py
@@ -334,7 +334,7 @@ def get_ees(in_meta, in_file=None):
     """
 
     import nibabel as nb
-    from fmriprep.interfaces.fmap import _get_pe_index
+    from dmriprep.interfaces.fmap import _get_pe_index
 
     # Use case 1: EES is defined
     ees = in_meta.get('EffectiveEchoSpacing', None)
diff --git a/dmriprep/interfaces/fsl_extensions.py b/dmriprep/interfaces/fsl_extensions.py
new file mode 100644
index 00000000..9f524b75
--- /dev/null
+++ b/dmriprep/interfaces/fsl_extensions.py
@@ -0,0 +1,124 @@
+import os
+import os.path as op
+
+from nipype.interfaces import fsl
+from nipype.interfaces.base import isdefined
+
+
+class ExtendedEddyOutputSpec(fsl.epi.EddyOutputSpec):
+    from nipype.interfaces.base import File
+
+    shell_PE_translation_parameters = File(
+        exists=True,
+        desc="the translation along the PE-direction between the different shells",
+    )
+    outlier_map = File(
+        exists=True,
+        desc="All numbers are either 0, meaning that scan-slice "
+        "is not an outliers, or 1 meaning that it is.",
+    )
+    outlier_n_stdev_map = File(
+        exists=True,
+        desc="how many standard deviations off the mean difference "
+        "between observation and prediction is.",
+    )
+    outlier_n_sqr_stdev_map = File(
+        exists=True,
+        desc="how many standard deviations off the square root of the "
+        "mean squared difference between observation and prediction is.",
+    )
+    outlier_free_data = File(
+        exists=True,
+        desc=" the original data given by --imain not corrected for "
+        "susceptibility or EC-induced distortions or subject movement, but with "
+        "outlier slices replaced by the Gaussian Process predictions.",
+    )
+
+
+class ExtendedEddy(fsl.Eddy):
+    output_spec = ExtendedEddyOutputSpec
+    _num_threads = 1
+
+    def __init__(self, **inputs):
+        super(fsl.Eddy, self).__init__(**inputs)
+        self.inputs.on_trait_change(self._num_threads_update, "num_threads")
+        if not isdefined(self.inputs.num_threads):
+            self.inputs.num_threads = self._num_threads
+        else:
+            self._num_threads_update()
+        self.inputs.on_trait_change(self._use_cuda, "use_cuda")
+        if isdefined(self.inputs.use_cuda):
+            self._use_cuda()
+
+    def _list_outputs(self):
+        outputs = self.output_spec().get()
+        outputs["out_corrected"] = os.path.abspath("%s.nii.gz" % self.inputs.out_base)
+        outputs["out_parameter"] = os.path.abspath(
+            "%s.eddy_parameters" % self.inputs.out_base
+        )
+
+        # File generation might depend on the version of EDDY
+        out_rotated_bvecs = os.path.abspath(
+            "%s.eddy_rotated_bvecs" % self.inputs.out_base
+        )
+        out_movement_rms = os.path.abspath(
+            "%s.eddy_movement_rms" % self.inputs.out_base
+        )
+        out_restricted_movement_rms = os.path.abspath(
+            "%s.eddy_restricted_movement_rms" % self.inputs.out_base
+        )
+        out_shell_alignment_parameters = os.path.abspath(
+            "%s.eddy_post_eddy_shell_alignment_parameters" % self.inputs.out_base
+        )
+        shell_PE_translation_parameters = op.abspath(
+            "%s.eddy_post_eddy_shell_PE_translation_parameters" % self.inputs.out_base
+        )
+        out_outlier_report = os.path.abspath(
+            "%s.eddy_outlier_report" % self.inputs.out_base
+        )
+        outlier_map = op.abspath("%s.eddy_outlier_map" % self.inputs.out_base)
+        outlier_n_stdev_map = op.abspath(
+            "%s.eddy_outlier_n_stdev_map" % self.inputs.out_base
+        )
+        outlier_n_sqr_stdev_map = op.abspath(
+            "%s.eddy_outlier_n_sqr_stdev_map" % self.inputs.out_base
+        )
+        outlier_free_data = op.abspath(
+            "%s.eddy_outlier_free_data.nii.gz" % self.inputs.out_base
+        )
+
+        if isdefined(self.inputs.cnr_maps) and self.inputs.cnr_maps:
+            out_cnr_maps = os.path.abspath(
+                "%s.eddy_cnr_maps.nii.gz" % self.inputs.out_base
+            )
+            if os.path.exists(out_cnr_maps):
+                outputs["out_cnr_maps"] = out_cnr_maps
+        if isdefined(self.inputs.residuals) and self.inputs.residuals:
+            out_residuals = os.path.abspath(
+                "%s.eddy_residuals.nii.gz" % self.inputs.out_base
+            )
+            if os.path.exists(out_residuals):
+                outputs["out_residuals"] = out_residuals
+
+        if os.path.exists(out_rotated_bvecs):
+            outputs["out_rotated_bvecs"] = out_rotated_bvecs
+        if os.path.exists(out_movement_rms):
+            outputs["out_movement_rms"] = out_movement_rms
+        if os.path.exists(out_restricted_movement_rms):
+            outputs["out_restricted_movement_rms"] = out_restricted_movement_rms
+        if os.path.exists(out_shell_alignment_parameters):
+            outputs["out_shell_alignment_parameters"] = out_shell_alignment_parameters
+        if os.path.exists(out_outlier_report):
+            outputs["out_outlier_report"] = out_outlier_report
+        if os.path.exists(outlier_free_data):
+            outputs["outlier_free_data"] = outlier_free_data
+        if op.exists(shell_PE_translation_parameters):
+            outputs["shell_PE_translation_parameters"] = shell_PE_translation_parameters
+        if op.exists(outlier_map):
+            outputs["outlier_map"] = outlier_map
+        if op.exists(outlier_n_stdev_map):
+            outputs["outlier_n_stdev_map"] = outlier_n_stdev_map
+        if op.exists(outlier_n_sqr_stdev_map):
+            outputs["outlier_n_sqr_stdev_map"] = outlier_n_sqr_stdev_map
+
+        return outputs
diff --git a/dmriprep/utils/bids.py b/dmriprep/utils/bids.py
index 9669f56a..7295cb86 100644
--- a/dmriprep/utils/bids.py
+++ b/dmriprep/utils/bids.py
@@ -1,171 +1,146 @@
 # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
 # vi: set ft=python sts=4 ts=4 sw=4 et:
 """Utilities to handle BIDS inputs."""
-import os
-import sys
-import json
-from pathlib import Path
-from bids import BIDSLayout
-
-
-def collect_data(bids_dir, participant_label, task=None, echo=None,
-                 bids_validate=True):
-    """Replacement for niworkflows' version."""
+import warnings
+
+
+def get_bids_dict(layout, participant_label=None, session=None):
+    def merge_dicts(x, y):
+        """
+        A function to merge two dictionaries, making it easier for us to make
+        modality specific queries for dwi images (since they have variable
+        extensions due to having an nii.gz, bval, and bvec file).
+        """
+        z = x.copy()
+        z.update(y)
+        return z
+
+    # get all files matching the specific modality we are using
+    if not participant_label:
+        # list of all the subjects
+        subjs = layout.get_subjects()
+    else:
+        # make it a list so we can iterate
+        if not isinstance(participant_label, list):
+            subjs = [participant_label]
+            assert participant_label in subjs, "subject {} is not in the bids folder".format(participant_label)
+        else:
+            subjs = participant_label
+            assert participant_label[0] in subjs, "subject {} is not in the bids folder".format(participant_label)
+
+    print('\n')
+    print("%s%s" % ('Subject:', subjs))
+    for sub in subjs:
+        if not session:
+            seshs = layout.get_sessions(subject=sub, derivatives=False)
+            # in case there are non-session level inputs
+            seshs += [None]
+        else:
+            # make a list so we can iterate
+            if not isinstance(session, list):
+                seshs = [session]
+                assert session in seshs, "session {} is not in the bids folder".format(session)
+            else:
+                seshs = session
+                assert session[0] in seshs, "session {} is not in the bids folder".format(session)
+
+        print("%s%s" % ('Sessions:', seshs))
+        print('\n')
+        # all the combinations of sessions and tasks that are possible
+        bids_dict = dict()
+        bids_dict[sub] = {}
+        for ses in seshs:
+            # the attributes for our modality img
+            mod_attributes = [sub, ses]
+            # the keys for our modality img
+            mod_keys = ['subject', 'session']
+            # our query we will use for each modality img
+            mod_query = {'datatype': 'dwi'}
+            for attr, key in zip(mod_attributes, mod_keys):
+                if attr:
+                    mod_query[key] = attr
+                    
+            dwi = layout.get(**merge_dicts(mod_query, {'extension': ['nii', 'nii.gz']}))
+            bval = layout.get(**merge_dicts(mod_query, {'extension': 'bval'}))
+            bvec = layout.get(**merge_dicts(mod_query, {'extension': 'bvec'}))
+            jso = layout.get(**merge_dicts(mod_query, {'extension': 'json'}))
+
+            bids_dict[sub][ses] = {}
+            for acq_ix in range(1, len(dwi) + 1):
+                bids_dict[sub][ses][acq_ix] = {}
+                bids_dict[sub][ses][acq_ix]['dwi_file'] = dwi[acq_ix - 1].path
+                bids_dict[sub][ses][acq_ix]['fbval'] = bval[acq_ix - 1].path
+                bids_dict[sub][ses][acq_ix]['fbvec'] = bvec[acq_ix - 1].path
+                bids_dict[sub][ses][acq_ix]['metadata'] = jso[acq_ix - 1].path
+    return bids_dict
+
+
+class BIDSError(ValueError):
+    def __init__(self, message, bids_root):
+        indent = 10
+        header = '{sep} BIDS root folder: "{bids_root}" {sep}'.format(
+            bids_root=bids_root, sep=''.join(['-'] * indent))
+        self.msg = '\n{header}\n{indent}{message}\n{footer}'.format(
+            header=header, indent=''.join([' '] * (indent + 1)),
+            message=message, footer=''.join(['-'] * len(header))
+        )
+        super(BIDSError, self).__init__(self.msg)
+        self.bids_root = bids_root
+
+
+class BIDSWarning(RuntimeWarning):
+    pass
+
+
+def collect_sessions(bids_dir, session=None, strict=False, bids_validate=True):
+    """
+    List the sessions under the BIDS root and checks that sessions
+    designated with the participant_label argument exist in that folder.
+    Returns the list of sessions to be finally processed.
+    Requesting all sessions in a BIDS directory root:
+    ...
+    """
+    from bids import BIDSLayout
     if isinstance(bids_dir, BIDSLayout):
         layout = bids_dir
     else:
         layout = BIDSLayout(str(bids_dir), validate=bids_validate)
 
-    queries = {
-        'fmap': {'datatype': 'fmap'},
-        'dwi': {'datatype': 'dwi', 'suffix': 'dwi'},
-        'bold': {'datatype': 'func', 'suffix': 'bold'},
-        'sbref': {'datatype': 'func', 'suffix': 'sbref'},
-        'flair': {'datatype': 'anat', 'suffix': 'FLAIR'},
-        't2w': {'datatype': 'anat', 'suffix': 'T2w'},
-        't1w': {'datatype': 'anat', 'suffix': 'T1w'},
-        'roi': {'datatype': 'anat', 'suffix': 'roi'},
-    }
-
-    if task:
-        queries['bold']['task'] = task
-
-    if echo:
-        queries['bold']['echo'] = echo
-
-    subj_data = {
-        dtype: sorted(layout.get(return_type='file', subject=participant_label,
-                                 extension=['nii', 'nii.gz'], **query))
-        for dtype, query in queries.items()}
-
-    return subj_data, layout
-
-
-def write_derivative_description(bids_dir, deriv_dir):
-    from ..__about__ import __version__, __url__, DOWNLOAD_URL
-
-    bids_dir = Path(bids_dir)
-    deriv_dir = Path(deriv_dir)
-    desc = {
-        'Name': 'dMRIPrep - dMRI PREProcessing workflow',
-        'BIDSVersion': '1.1.1',
-        'PipelineDescription': {
-            'Name': 'dMRIPrep',
-            'Version': __version__,
-            'CodeURL': DOWNLOAD_URL,
-        },
-        'CodeURL': __url__,
-        'HowToAcknowledge':
-            'Please cite https://doi.org/10.5281/zenodo.3392201.',
-    }
-
-    # Keys that can only be set by environment
-    if 'DMRIPREP_DOCKER_TAG' in os.environ:
-        desc['DockerHubContainerTag'] = os.environ['DMRIPREP_DOCKER_TAG']
-    if 'DMRIPREP_SINGULARITY_URL' in os.environ:
-        singularity_url = os.environ['DMRIPREP_SINGULARITY_URL']
-        desc['SingularityContainerURL'] = singularity_url
-
-        singularity_md5 = _get_shub_version(singularity_url)
-        if singularity_md5 and singularity_md5 is not NotImplemented:
-            desc['SingularityContainerMD5'] = _get_shub_version(singularity_url)
-
-    # Keys deriving from source dataset
-    orig_desc = {}
-    fname = bids_dir / 'dataset_description.json'
-    if fname.exists():
-        with fname.open() as fobj:
-            orig_desc = json.load(fobj)
-
-    if 'DatasetDOI' in orig_desc:
-        desc['SourceDatasetsURLs'] = ['https://doi.org/{}'.format(
-            orig_desc['DatasetDOI'])]
-    if 'License' in orig_desc:
-        desc['License'] = orig_desc['License']
-
-    with (deriv_dir / 'dataset_description.json').open('w') as fobj:
-        json.dump(desc, fobj, indent=4)
-
-
-def validate_input_dir(exec_env, bids_dir, participant_label):
-    # Ignore issues and warnings that should not influence DMRIPREP
-    import tempfile
-    import subprocess
-    validator_config_dict = {
-        "ignore": [
-            "EVENTS_COLUMN_ONSET",
-            "EVENTS_COLUMN_DURATION",
-            "TSV_EQUAL_ROWS",
-            "TSV_EMPTY_CELL",
-            "TSV_IMPROPER_NA",
-            "INCONSISTENT_SUBJECTS",
-            "INCONSISTENT_PARAMETERS",
-            "PARTICIPANT_ID_COLUMN",
-            "PARTICIPANT_ID_MISMATCH",
-            "TASK_NAME_MUST_DEFINE",
-            "PHENOTYPE_SUBJECTS_MISSING",
-            "STIMULUS_FILE_MISSING",
-            "BOLD_NOT_4D",
-            "EVENTS_TSV_MISSING",
-            "TSV_IMPROPER_NA",
-            "ACQTIME_FMT",
-            "Participants age 89 or higher",
-            "DATASET_DESCRIPTION_JSON_MISSING",
-            "TASK_NAME_CONTAIN_ILLEGAL_CHARACTER",
-            "FILENAME_COLUMN",
-            "WRONG_NEW_LINE",
-            "MISSING_TSV_COLUMN_CHANNELS",
-            "MISSING_TSV_COLUMN_IEEG_CHANNELS",
-            "MISSING_TSV_COLUMN_IEEG_ELECTRODES",
-            "UNUSED_STIMULUS",
-            "CHANNELS_COLUMN_SFREQ",
-            "CHANNELS_COLUMN_LOWCUT",
-            "CHANNELS_COLUMN_HIGHCUT",
-            "CHANNELS_COLUMN_NOTCH",
-            "CUSTOM_COLUMN_WITHOUT_DESCRIPTION",
-            "ACQTIME_FMT",
-            "SUSPICIOUSLY_LONG_EVENT_DESIGN",
-            "SUSPICIOUSLY_SHORT_EVENT_DESIGN",
-            "MISSING_TSV_COLUMN_EEG_ELECTRODES",
-            "MISSING_SESSION"
-        ],
-        "error": ["NO_T1W"],
-        "ignoredFiles": ['/dataset_description.json', '/participants.tsv']
-    }
-    # Limit validation only to data from requested participants
-    if participant_label:
-        all_subs = set([s.name[4:] for s in bids_dir.glob('sub-*')])
-        selected_subs = set([s[4:] if s.startswith('sub-') else s
-                             for s in participant_label])
-        bad_labels = selected_subs.difference(all_subs)
-        if bad_labels:
-            error_msg = 'Data for requested participant(s) label(s) not found. Could ' \
-                        'not find data for participant(s): %s. Please verify the requested ' \
-                        'participant labels.'
-            if exec_env == 'docker':
-                error_msg += ' This error can be caused by the input data not being ' \
-                             'accessible inside the docker container. Please make sure all ' \
-                             'volumes are mounted properly (see https://docs.docker.com/' \
-                             'engine/reference/commandline/run/#mount-volume--v---read-only)'
-            if exec_env == 'singularity':
-                error_msg += ' This error can be caused by the input data not being ' \
-                             'accessible inside the singularity container. Please make sure ' \
-                             'all paths are mapped properly (see https://www.sylabs.io/' \
-                             'guides/3.0/user-guide/bind_paths_and_mounts.html)'
-            raise RuntimeError(error_msg % ','.join(bad_labels))
-
-        ignored_subs = all_subs.difference(selected_subs)
-        if ignored_subs:
-            for sub in ignored_subs:
-                validator_config_dict["ignoredFiles"].append("/sub-%s/**" % sub)
-    with tempfile.NamedTemporaryFile('w+') as temp:
-        temp.write(json.dumps(validator_config_dict))
-        temp.flush()
-        try:
-            subprocess.check_call(['bids-validator', bids_dir, '-c', temp.name])
-        except FileNotFoundError:
-            print("bids-validator does not appear to be installed", file=sys.stderr)
-
-
-def _get_shub_version(singularity_url):
-    return NotImplemented
+    all_sessions = set(layout.get_sessions())
+
+    # Error: bids_dir does not contain subjects
+    if not all_sessions:
+        raise BIDSError(
+            'Could not find session. Please make sure the BIDS data '
+            'structure is present and correct. Datasets can be validated online '
+            'using the BIDS Validator (http://bids-standard.github.io/bids-validator/).\n'
+            'If you are using Docker for Mac or Docker for Windows, you '
+            'may need to adjust your "File sharing" preferences.', bids_dir)
+
+    # No --participant-label was set, return all
+    if not session:
+        return sorted(all_sessions)
+
+    if isinstance(session, int):
+        session = [session]
+
+    # Drop ses- prefixes
+    session = [ses[4:] if ses.startswith('ses-') else ses for ses in session]
+    # Remove duplicates
+    session = sorted(set(session))
+    # Remove labels not found
+    found_label = sorted(set(session) & all_sessions)
+    if not found_label:
+        raise BIDSError('Could not find session [{}]'.format(
+            ', '.join(session)), bids_dir)
+
+    # Warn if some IDs were not found
+    notfound_label = sorted(set(session) - all_sessions)
+    if notfound_label:
+        exc = BIDSError('Some sessions were not found: {}'.format(
+            ', '.join(notfound_label)), bids_dir)
+        if strict:
+            raise exc
+        warnings.warn(exc.msg, BIDSWarning)
+
+    return found_label
\ No newline at end of file
diff --git a/dmriprep/utils/core.py b/dmriprep/utils/core.py
new file mode 100644
index 00000000..92949fd9
--- /dev/null
+++ b/dmriprep/utils/core.py
@@ -0,0 +1,802 @@
+from __future__ import division, print_function
+import os
+import nibabel as nib
+import numpy as np
+
+
+def make_gtab(fbval, fbvec, sesdir, final, b0_thr=100):
+    from dipy.io import save_pickle
+    from dipy.core.gradients import gradient_table
+    from dipy.io import read_bvals_bvecs
+
+    if fbval and fbvec:
+        bvals, bvecs = read_bvals_bvecs(fbval, fbvec)
+    else:
+        raise ValueError("Either bvals or bvecs files not found (or rescaling failed)!")
+
+    namer_dir = sesdir + "/dmri_tmp"
+    if not os.path.isdir(namer_dir):
+        os.mkdir(namer_dir)
+
+    gtab_file = "%s%s" % (namer_dir, "/gtab.pkl")
+
+    # Creating the gradient table
+    gtab = gradient_table(bvals, bvecs)
+
+    # Correct b0 threshold
+    gtab.b0_threshold = b0_thr
+
+    # Correct b0 mask
+    gtab_bvals = gtab.bvals.copy()
+    b0_thr_ixs = np.where(gtab_bvals < gtab.b0_threshold)[0]
+    gtab_bvals[b0_thr_ixs] = 0
+    gtab.b0s_mask = gtab_bvals == 0
+
+    # Show info
+    print(gtab.info)
+
+    # Save gradient table to pickle
+    save_pickle(gtab_file, gtab)
+
+    if final is True:
+        final_bval_path = sesdir + '/final_bval.bval'
+        final_bvec_path = sesdir + '/final_bvec.bvec'
+        np.savetxt(final_bval_path, bvals.astype('int'), fmt='%i')
+        np.savetxt(final_bvec_path, bvecs.astype('float'), fmt='%10f')
+    else:
+        final_bval_path = None
+        final_bvec_path = None
+
+    return gtab_file, gtab, final_bval_path, final_bvec_path
+
+
+def rename_final_preprocessed_file(in_file, sesdir):
+    import shutil
+    out_file = sesdir + '/final_preprocessed_dwi.nii.gz'
+    shutil.copy(in_file, out_file)
+    return out_file
+
+
+def rescale_bvec(bvec, bvec_rescaled):
+    """
+    Normalizes b-vectors to be of unit length for the non-zero b-values. If the
+    b-value is 0, the vector is untouched.
+
+    Parameters
+    ----------
+    bvec : str
+        File name of the original b-vectors file.
+    bvec_rescaled : str
+        File name of the new (normalized) b-vectors file. Must have extension `.bvec`.
+
+    Returns
+    -------
+    bvec_rescaled : str
+        File name of the new (normalized) b-vectors file. Must have extension `.bvec`.
+    """
+    bv1 = np.array(np.loadtxt(bvec))
+    # Enforce proper dimensions
+    bv1 = bv1.T if bv1.shape[0] == 3 else bv1
+
+    # Normalize values not close to norm 1
+    bv2 = [
+        b / np.linalg.norm(b) if not np.isclose(np.linalg.norm(b), 0) else b
+        for b in bv1
+    ]
+    np.savetxt(bvec_rescaled, bv2)
+    return bvec_rescaled
+
+
+def is_hemispherical(vecs):
+    """
+    Test whether all points on a unit sphere lie in the same hemisphere.
+
+    **Inputs**
+
+    vecs : numpy.ndarray
+        2D numpy array with shape (N, 3) where N is the number of points.
+        All points must lie on the unit sphere.
+
+    **Outputs**
+
+    is_hemi : bool
+        If True, one can find a hemisphere that contains all the points.
+        If False, then the points do not lie in any hemisphere
+    pole : numpy.ndarray
+        If `is_hemi == True`, then pole is the "central" pole of the
+        input vectors. Otherwise, pole is the zero vector.
+
+    **References**
+
+    https://rstudio-pubs-static.s3.amazonaws.com/27121_a22e51b47c544980bad594d5e0bb2d04.html  # noqa
+    """
+    import itertools
+    if vecs.shape[1] != 3:
+        raise ValueError("Input vectors must be 3D vectors")
+    if not np.allclose(1, np.linalg.norm(vecs, axis=1)):
+        raise ValueError("Input vectors must be unit vectors")
+
+    # Generate all pairwise cross products
+    v0, v1 = zip(*[p for p in itertools.permutations(vecs, 2)])
+    cross_prods = np.cross(v0, v1)
+
+    # Normalize them
+    cross_prods /= np.linalg.norm(cross_prods, axis=1)[:, np.newaxis]
+
+    # `cross_prods` now contains all candidate vertex points for "the polygon"
+    # in the reference. "The polygon" is a subset. Find which points belong to
+    # the polygon using a dot product test with each of the original vectors
+    angles = np.arccos(np.dot(cross_prods, vecs.transpose()))
+
+    # And test whether it is orthogonal or less
+    dot_prod_test = angles <= np.pi / 2.0
+
+    # If there is at least one point that is orthogonal or less to each
+    # input vector, then the points lie on some hemisphere
+    is_hemi = len(vecs) in np.sum(dot_prod_test.astype(int), axis=1)
+
+    if is_hemi:
+        vertices = cross_prods[
+            np.sum(dot_prod_test.astype(int), axis=1) == len(vecs)
+        ]
+        pole = np.mean(vertices, axis=0)
+        pole /= np.linalg.norm(pole)
+    else:
+        pole = np.array([0.0, 0.0, 0.0])
+    return is_hemi, pole
+
+
+def correct_vecs_and_make_b0s(fbval, fbvec, dwi_file, sesdir):
+    from dipy.io import read_bvals_bvecs
+    from dmriprep.utils.core import make_gtab, rescale_bvec, is_hemispherical, make_mean_b0
+
+    namer_dir = sesdir + "/dmri_tmp"
+    if not os.path.isdir(namer_dir):
+        os.mkdir(namer_dir)
+
+    bvec_rescaled = "%s%s" % (namer_dir, "/bvec_scaled.bvec")
+    all_b0s_file = "%s%s" % (namer_dir, "/all_b0s.nii.gz")
+
+    # loading bvecs/bvals
+    bvals, bvecs = read_bvals_bvecs(fbval, fbvec)
+    bvecs[np.where(np.any(abs(bvecs) >= 10, axis=1) == True)] = [1, 0, 0]
+    bvecs[np.where(bvals == 0)] = 0
+    if (
+        len(
+            bvecs[
+                np.where(
+                    np.logical_and(
+                        bvals > 50, np.all(abs(bvecs) == np.array([0, 0, 0]), axis=1)
+                    )
+                )
+            ]
+        )
+        > 0
+    ):
+        raise ValueError(
+            "WARNING: Encountered potentially corrupted bval/bvecs. Check to ensure volumes with a "
+            "diffusion weighting are not being treated as B0's along the bvecs"
+        )
+
+    if (len(bvals) < 10) and (max(bvals) < 1500):
+        raise ValueError('Too few directions in this data. Use of eddy is not recommended.')
+
+    if (len(bvals) < 30) and (max(bvals) < 5000):
+        raise ValueError('Too few directions in this data. Use of eddy is not recommended.')
+
+    np.savetxt(fbval, bvals.astype('int'), fmt='%i')
+    np.savetxt(fbvec, bvecs.astype('float'), fmt='%10f')
+    bvec_rescaled = rescale_bvec(fbvec, bvec_rescaled)
+    vecs_rescaled = np.genfromtxt(bvec_rescaled)
+    vecs = np.round(vecs_rescaled, 8)[~(np.round(vecs_rescaled, 8) == 0).all(1)]
+    [is_hemi, pole] = is_hemispherical(vecs)
+    if is_hemi is True:
+        slm = 'linear'
+        print("Warning: B-vectors for this data are hemispherical at polar vertex: " + str(pole) +
+              " To ensure adequate eddy current correction, eddy will be run using the --slm=linear option.")
+    else:
+        slm = 'none'
+
+    [gtab_file, gtab, _, _] = make_gtab(fbval, bvec_rescaled, sesdir, final=False)
+
+    # Get b0 indices
+    b0s = np.where(gtab.bvals <= gtab.b0_threshold)[0].tolist()
+    print("%s%s" % ("b0's found at: ", b0s))
+
+    # Extract and Combine all b0s collected
+    print("Extracting b0's...")
+    b0_vols = []
+    dwi_img = nib.load(dwi_file)
+    dwi_data = dwi_img.get_data()
+    for b0 in b0s:
+        print(b0)
+        b0_vols.append(dwi_data[:, :, :, b0])
+
+    all_b0s = np.stack(b0_vols, axis=3)
+    all_b0s_aff = dwi_img.affine.copy()
+    all_b0s_aff[3][3] = len(b0_vols)
+    nib.save(nib.Nifti1Image(all_b0s, affine=all_b0s_aff), all_b0s_file)
+    initial_mean_b0 = make_mean_b0(all_b0s_file)
+
+    return initial_mean_b0, gtab_file, b0_vols, b0s, slm
+
+
+def topup_inputs_from_dwi_files(dwi_file, sesdir, spec_acqp, b0_vols, b0s, vol_legend):
+    from collections import defaultdict
+    import pkg_resources
+    from shutil import copyfile
+    import random
+
+    """Create a datain spec and a slspec from a list of dwi files."""
+    # Write the datain.txt file
+    datain_lines = []
+    spec_counts = defaultdict(int)
+
+    unique_encodings = [j for j in list(set([float(i) for i in spec_acqp.split(' ')])) if (j == 1.0) or (j == -1.0)]
+    if len(unique_encodings) > 1:
+        # Reverse phase encodings are present to susceptibility can be estimated via topup
+        susceptibility_args = '--estimate_move_by_susceptibility'
+    else:
+        susceptibility_args = ''
+
+    dwi_img = nib.load(dwi_file)
+    imain_data = []
+    ix = 0
+    for b0_vol in b0_vols:
+        num_trs = 1 if len(b0_vol.shape) < 4 else b0_vol.shape[3]
+        if vol_legend:
+            vol_legend_consec = [sum(vol_legend[:i+1]) for i in range(len(vol_legend))]
+            b0_level = next(x[0] for x in enumerate(vol_legend_consec) if x[1] > b0s[ix])
+            datain_lines.extend([spec_acqp[b0_level]] * num_trs)
+            spec_counts[spec_acqp[b0_level]] += num_trs
+        else:
+            datain_lines.extend([spec_acqp] * num_trs)
+            spec_counts[spec_acqp] += num_trs
+        imain_data.append(b0_vol)
+        ix = ix + 1
+
+    # Make a 4d series
+    imain_output = sesdir + "/topup_imain.nii.gz"
+    imain_data_4d = [imain_vol[..., np.newaxis] for imain_vol in imain_data]
+    imain_img = nib.Nifti1Image(
+        np.concatenate(imain_data_4d, 3), dwi_img.affine, dwi_img.header
+    )
+    assert imain_img.shape[3] == len(datain_lines)
+    imain_img.to_filename(imain_output)
+
+    # Write the datain text file
+    datain_file = sesdir + "/acqparams.txt"
+    with open(datain_file, "w") as f:
+        f.write("\n".join(datain_lines))
+
+    example_b0 = b0_vols[0]
+    topup_config = pkg_resources.resource_filename('dmriprep.config', "b02b0.cnf")
+    topup_config_odd = pkg_resources.resource_filename('dmriprep.config', "b02b0_1.cnf")
+
+    if 1 in (example_b0.shape[0] % 2, example_b0.shape[1] % 2, example_b0.shape[2] % 2):
+        print("Using slower b02b0_1.cnf because an axis has an odd number of slices")
+        topup_config_odd_tmp = sesdir + '/b02b0_1_' + str(random.randint(1, 1000)) + '.cnf'
+        copyfile(topup_config_odd, topup_config_odd_tmp)
+        topup_config = topup_config_odd_tmp
+    else:
+        topup_config_tmp = sesdir + '/b02b0_' + str(random.randint(1, 1000)) + '.cnf'
+        copyfile(topup_config, topup_config_tmp)
+        topup_config = topup_config_tmp
+
+    return datain_file, imain_output, example_b0, datain_lines, topup_config, susceptibility_args
+
+
+def eddy_inputs_from_dwi_files(sesdir, gtab_file):
+    from dipy.io import load_pickle
+
+    b0s_mask_all = []
+    gtab = load_pickle(gtab_file)
+    b0s_mask = gtab.b0s_mask
+    b0s_mask_all.append(b0s_mask)
+
+    # Create the index file
+    index_file = sesdir + "/index.txt"
+    ix_vec = []
+    i = 1
+    pastfirst0s = False
+    for val in gtab.bvals:
+        if val > gtab.b0_threshold:
+            pastfirst0s = True
+        elif val <= gtab.b0_threshold and pastfirst0s is True:
+            i = i + 1
+        ix_vec.append(i)
+    with open(index_file, "w") as f:
+        f.write(" ".join(map(str, ix_vec)))
+
+    return index_file
+
+
+def id_outliers_fn(outlier_report, threshold, dwi_file):
+    """Get list of scans that exceed threshold for number of outliers
+    Parameters
+    ----------
+    outlier_report: string
+        Path to the fsl_eddy outlier report
+    threshold: int or float
+        If threshold is an int, it is treated as number of allowed outlier
+        slices. If threshold is a float between 0 and 1 (exclusive), it is
+        treated the fraction of allowed outlier slices before we drop the
+        whole volume.
+    dwi_file: string
+        Path to nii dwi file to determine total number of slices
+    Returns
+    -------
+    drop_scans: numpy.ndarray
+        List of scan indices to drop
+    """
+    import nibabel as nib
+    import numpy as np
+    import os.path as op
+    import parse
+
+    with open(op.abspath(outlier_report), "r") as fp:
+        lines = fp.readlines()
+
+    p = parse.compile(
+        "Slice {slice:d} in scan {scan:d} is an outlier with "
+        "mean {mean_sd:f} standard deviations off, and mean "
+        "squared {mean_sq_sd:f} standard deviations off."
+    )
+
+    outliers = [p.parse(l).named for l in lines]
+    scans = {d["scan"] for d in outliers}
+
+    def num_outliers(scan, outliers):
+        return len([d for d in outliers if d["scan"] == scan])
+
+    if 0 < threshold < 1:
+        img = nib.load(dwi_file)
+        try:
+            threshold *= img.header.get_n_slices()
+        except nib.spatialimages.HeaderDataError:
+            print(
+                "WARNING. We are not sure which dimension has the "
+                "slices in this image. So we are using the 3rd dim.",
+                img.shape,
+            )
+            threshold *= img.shape[2]
+
+    drop_scans = np.array([s for s in scans if num_outliers(s, outliers) > threshold])
+
+    outpath = op.abspath("dropped_scans.txt")
+    np.savetxt(outpath, drop_scans, fmt="%d")
+
+    return drop_scans, outpath
+
+
+def drop_outliers_fn(in_file, in_bval, in_bvec, drop_scans, in_sigma=None, perc_missing=0.15):
+    """Drop outlier volumes from dwi file
+    Parameters
+    ----------
+    in_file: string
+        Path to nii dwi file to drop outlier volumes from
+    in_bval: string
+        Path to bval file to drop outlier volumes from
+    in_bvec: string
+        Path to bvec file to drop outlier volumes from
+    drop_scans: numpy.ndarray or str
+        List of scan indices to drop. If str, then assume path to text file
+        listing outlier volumes.
+
+    Returns
+    -------
+    out_file: string
+        Path to "thinned" output dwi file
+    out_bval: string
+        Path to "thinned" output bval file
+    out_bvec: string
+        Path to "thinned" output bvec file
+    """
+    import nibabel as nib
+    import numpy as np
+    import os.path as op
+    from nipype.utils.filemanip import fname_presuffix
+
+    if isinstance(drop_scans, str):
+        try:
+            drop_scans = np.genfromtxt(drop_scans).tolist()
+            if not isinstance(drop_scans, list):
+                drop_scans = [drop_scans]
+
+        except TypeError:
+            print(
+                "Unrecognized file format. Unable to load vector from drop_scans file."
+            )
+
+    print("%s%s" % ('Dropping outlier volumes:\n', drop_scans))
+
+    img = nib.load(op.abspath(in_file))
+    drop_perc = (len(drop_scans))/float(img.shape[-1])
+    if drop_perc > perc_missing:
+        raise ValueError('Missing > ' + str(np.round(100*drop_perc, 2)) + '% of volumes after outlier removal. '
+                                                                          'This dataset is unuseable based on the '
+                                                                          'given rejection threshold.')
+    # drop 4d outliers from dwi
+    img_data = img.get_data()
+    img_data_thinned = np.delete(img_data, drop_scans, axis=3)
+    if isinstance(img, nib.nifti1.Nifti1Image):
+        img_thinned = nib.Nifti1Image(
+            img_data_thinned.astype(np.float64), img.affine, header=img.header
+        )
+    elif isinstance(img, nib.nifti2.Nifti2Image):
+        img_thinned = nib.Nifti2Image(
+            img_data_thinned.astype(np.float64), img.affine, header=img.header
+        )
+    else:
+        raise TypeError("in_file does not contain Nifti image datatype.")
+
+    out_file = fname_presuffix(in_file, suffix="_thinned", newpath=op.abspath("."))
+    nib.save(img_thinned, op.abspath(out_file))
+
+    # drop outliers from sigma (if 4d)
+    if in_sigma is not None:
+        sigma = np.load(op.abspath(in_sigma))
+        if len(sigma.shape) == 4:
+            sigma_thinned = np.delete(sigma, drop_scans, axis=3)
+            out_sigma = fname_presuffix(in_sigma, suffix="_thinned", newpath=op.abspath("."))
+            np.save(sigma_thinned, op.abspath(out_sigma))
+        else:
+            out_sigma = in_sigma
+    else:
+        out_sigma = None
+
+    bval = np.loadtxt(in_bval)
+    bval_thinned = np.delete(bval, drop_scans, axis=0)
+    out_bval = fname_presuffix(in_bval, suffix="_thinned", newpath=op.abspath("."))
+    np.savetxt(out_bval, bval_thinned.astype('int'), fmt='%i')
+
+    bvec = np.loadtxt(in_bvec)
+    if bvec.shape[0] == 3:
+        bvec_thinned = np.delete(bvec, drop_scans, axis=1)
+    else:
+        bvec_thinned = np.delete(bvec, drop_scans, axis=0)
+    out_bvec = fname_presuffix(in_bvec, suffix="_thinned", newpath=op.abspath("."))
+    np.savetxt(out_bvec, bvec_thinned.astype('float'), fmt='%10f')
+
+    return out_file, out_bval, out_bvec, out_sigma
+
+
+def get_params(A):
+    """This is a copy of spm's spm_imatrix where
+    we already know the rotations and translations matrix,
+    shears and zooms (as outputs from fsl FLIRT/avscale)
+    Let A = the 4x4 rotation and translation matrix
+    R = [          c5*c6,           c5*s6, s5]
+        [-s4*s5*c6-c4*s6, -s4*s5*s6+c4*c6, s4*c5]
+        [-c4*s5*c6+s4*s6, -c4*s5*s6-s4*c6, c4*c5]
+    """
+
+    def rang(b):
+        a = min(max(b, -1), 1)
+        return a
+
+    Ry = np.arcsin(A[0, 2])
+    # Rx = np.arcsin(A[1, 2] / np.cos(Ry))
+    # Rz = np.arccos(A[0, 1] / np.sin(Ry))
+
+    if (abs(Ry) - np.pi / 2) ** 2 < 1e-9:
+        Rx = 0
+        Rz = np.arctan2(-rang(A[1, 0]), rang(-A[2, 0] / A[0, 2]))
+    else:
+        c = np.cos(Ry)
+        Rx = np.arctan2(rang(A[1, 2] / c), rang(A[2, 2] / c))
+        Rz = np.arctan2(rang(A[0, 1] / c), rang(A[0, 0] / c))
+
+    rotations = [Rx, Ry, Rz]
+    translations = [A[0, 3], A[1, 3], A[2, 3]]
+
+    return rotations, translations
+
+
+def get_flirt_motion_parameters(flirt_mats):
+    import os.path as op
+    from nipype.interfaces.fsl.utils import AvScale
+    from dmriprep.utils.core import get_params
+
+    motion_params = open(op.abspath("motion_parameters.par"), "w")
+    for mat in flirt_mats:
+        res = AvScale(mat_file=mat).run()
+        A = np.asarray(res.outputs.rotation_translation_matrix)
+        rotations, translations = get_params(A)
+        for i in rotations + translations:
+            motion_params.write("%f " % i)
+        motion_params.write("\n")
+    motion_params.close()
+    motion_params = op.abspath("motion_parameters.par")
+    return motion_params
+
+
+def read_nifti_sidecar(json_file):
+    import json
+
+    with open(json_file, "r") as f:
+        metadata = json.load(f)
+
+    if 'vol_legend' not in metadata:
+        pe_dir = metadata["PhaseEncodingDirection"]
+        trt = metadata.get("TotalReadoutTime")
+        if trt is None:
+            pass
+
+        return {
+            "PhaseEncodingDirection": pe_dir,
+            "TotalReadoutTime": trt,
+        }
+    else:
+        idxs = list(map(lambda x: x + 1, list(range(len(metadata['vol_legend'])))))
+        pe_dirs = []
+        trts = []
+        for idx in idxs:
+            pe_dirs.append(metadata["PhaseEncodingDirection_" + str(idx)])
+            trts.append(metadata.get("TotalReadoutTime_" + str(idx)))
+            if len(list(set(trts))) == 1 and list(set(trts))[0] is None:
+                pass
+        vol_legend = metadata['vol_legend']
+
+        return {
+            "PhaseEncodingDirection": pe_dirs,
+            "TotalReadoutTime": trts,
+            "vol_legend": vol_legend,
+        }
+
+
+def extract_metadata(metadata):
+    from dmriprep.utils.core import read_nifti_sidecar, compute_readout
+
+    acqp_lines = {
+        "i": "1 0 0 %.6f",
+        "j": "0 1 0 %.6f",
+        "k": "0 0 1 %.6f",
+        "i-": "-1 0 0 %.6f",
+        "j-": "0 -1 0 %.6f",
+        "k-": "0 0 -1 %.6f",
+    }
+    spec = read_nifti_sidecar(metadata)
+
+    try:
+        total_rdout = spec["TotalReadoutTime"]
+    except:
+        try:
+            total_rdout = compute_readout(spec)
+        except KeyError as e:
+            print('Readout time not found in .json metadata and could not be computed using %s. '
+                  'Cannot proceed with TOPUP/Eddy' % str(e))
+
+    if isinstance(list(spec.values())[0], list):
+        total_readout = list(set(total_rdout))
+        if len(total_readout) != 1:
+            raise ValueError('Multiple readout times detected!')
+        spec_lines = []
+        spec_acqps = []
+        for line in spec["PhaseEncodingDirection"]:
+            spec_line = acqp_lines[line]
+            spec_lines.append(acqp_lines[line])
+            spec_acqps.append(spec_line % total_readout[0])
+        vol_legend = spec['vol_legend']
+    else:
+        spec_line = acqp_lines[spec["PhaseEncodingDirection"]]
+        spec_acqps = spec_line % total_rdout
+        vol_legend = None
+    return spec_acqps, vol_legend
+
+
+def check_shelled(gtab_file):
+    from dipy.io import load_pickle
+
+    # Check whether data is shelled
+    gtab = load_pickle(gtab_file)
+    if len(np.unique(gtab.bvals)) > 2:
+        is_shelled = True
+    else:
+        is_shelled = False
+    return is_shelled
+
+
+def make_mean_b0(in_file):
+    import time
+
+    b0_img = nib.load(in_file)
+    b0_img_data = b0_img.get_data()
+    mean_b0 = np.mean(b0_img_data, axis=3, dtype=b0_img_data.dtype)
+    mean_file_out = in_file.split(".nii.gz")[0] + "_mean_b0.nii.gz"
+    nib.save(
+        nib.Nifti1Image(mean_b0, affine=b0_img.affine, header=b0_img.header),
+        mean_file_out,
+    )
+    while os.path.isfile(mean_file_out) is False:
+        time.sleep(1)
+    return mean_file_out
+
+
+def suppress_gibbs(in_file, sesdir):
+    from time import time
+    from dipy.denoise.gibbs import gibbs_removal
+
+    t = time()
+    img = nib.load(in_file)
+    img_data = img.get_data()
+    gibbs_corr_data = gibbs_removal(img_data)
+    print("Time taken for gibbs suppression: ", -t + time())
+    gibbs_free_file = sesdir + "/gibbs_free_data.nii.gz"
+    nib.save(
+        nib.Nifti1Image(gibbs_corr_data.astype(np.float32), img.affine, img.header),
+        gibbs_free_file,
+    )
+    return gibbs_free_file
+
+
+def estimate_sigma(in_file, gtab_file, mask, denoise_strategy, N=1, smooth_factor=3):
+    import os
+    from dipy.io import load_pickle
+    from dipy.denoise.noise_estimate import estimate_sigma
+    from dipy.denoise.pca_noise_estimate import pca_noise_estimate
+
+    gtab = load_pickle(gtab_file)
+    sigma_path = os.path.dirname(gtab_file) + '/sigma.npy'
+    img = nib.load(in_file)
+    img_data = np.asarray(img.get_data(caching='unchanged'), dtype=np.float32)
+    mask_data = np.asarray(nib.load(mask).get_data(caching='unchanged'), dtype=np.bool)
+
+    if denoise_strategy == "mppca" or denoise_strategy == "localpca":
+        sigma = pca_noise_estimate(img_data, gtab, correct_bias=True, smooth=smooth_factor)
+    elif denoise_strategy == "nlmeans":
+        sigma = estimate_sigma(img_data, N=N)
+    elif denoise_strategy == 'nlsam':
+        try:
+            import nlsam
+        except:
+            ImportError('NLSAM not installed. See https://github.com/samuelstjean/nlsam.git')
+        from nlsam.smoothing import local_standard_deviation
+        from nlsam.bias_correction import root_finder_sigma
+
+        # Fix the implausible signals
+        img_data[..., gtab.b0s_mask] = np.max(img_data, axis=-1, keepdims=True)
+
+        # Noise estimation part
+        sigma = root_finder_sigma(img_data, local_standard_deviation(img_data), N, mask=mask_data)
+    else:
+        sigma = None
+        sigma_path = None
+        raise ValueError("Denoising strategy not recognized.")
+
+    np.save(sigma_path, sigma)
+    return sigma_path
+
+
+def denoise(
+    in_file,
+    sesdir,
+    gtab_file,
+    mask,
+    denoise_strategy,
+    sigma_path,
+    omp_nthreads,
+    N=1,
+    patch_radius=2,
+    tau_factor=2.3,
+    block_radius=1,
+    n_iter=10,
+    sh_order=8
+):
+    from time import time
+    from dipy.denoise.localpca import genpca
+    from dipy.denoise.nlmeans import nlmeans
+    from dipy.io import load_pickle
+
+    gtab = load_pickle(gtab_file)
+    t = time()
+    img = nib.load(in_file)
+    img_data = np.asarray(img.get_data(caching='unchanged'), dtype=np.float32)
+    mask_data = np.asarray(nib.load(mask).get_data(caching='unchanged'), dtype=np.bool)
+
+    if sigma_path:
+        sigma = np.load(sigma_path)
+        if denoise_strategy == "mppca":
+            print('Running Marchenko-Pastur(MP) PCA denoising...')
+            img_data_den = genpca(img_data, sigma=sigma, mask=mask_data,
+                                  patch_radius=patch_radius,
+                                  pca_method='eig', tau_factor=None,
+                                  return_sigma=False, out_dtype=None)
+        elif denoise_strategy == "localpca":
+            print('Running Local PCA denoising...')
+            img_data_den = genpca(img_data, sigma=sigma, mask=mask_data,
+                                  patch_radius=patch_radius,
+                                  pca_method='eig', tau_factor=tau_factor,
+                                  return_sigma=False, out_dtype=None)
+        elif denoise_strategy == "nlmeans":
+            print('Running Non-Local Means denoising...')
+            img_data_den = nlmeans(
+                img_data,
+                sigma=sigma,
+                mask=mask_data,
+                patch_radius=patch_radius,
+                block_radius=block_radius,
+                rician=True,
+            )
+        elif denoise_strategy == 'nlsam':
+            print('Running Non Local Spatial and Angular Matching denoising...')
+            try:
+                import nlsam
+            except:
+                ImportError('NLSAM not installed. See https://github.com/samuelstjean/nlsam.git')
+            from nlsam.denoiser import nlsam_denoise
+            from nlsam.smoothing import sh_smooth
+            from nlsam.bias_correction import stabilization
+
+            # Fix the implausible signals
+            img_data[..., gtab.b0s_mask] = np.max(img_data, axis=-1, keepdims=True)
+
+            # Stabilizer part
+            data_stabilized = stabilization(img_data, sh_smooth(img_data, gtab.bvals, gtab.bvecs.T, sh_order=sh_order),
+                                            mask=mask_data, sigma=sigma, N=N)
+
+            # Denoising
+            sigma_3d = np.median(sigma, axis=-1)
+            block_size = np.array([3, 3, 3, 5])
+            img_data_den = nlsam_denoise(data_stabilized, sigma_3d, gtab.bvals, gtab.bvecs, block_size,
+                                         mask=mask_data, is_symmetric=False, subsample=True,
+                                         n_iter=n_iter, b0_threshold=gtab.b0_threshold, split_b0s=True,
+                                         verbose=True, use_threading=True, mp_method=None, n_cores=int(omp_nthreads))
+
+        else:
+            raise ValueError("Denoising strategy not recognized.")
+        print("Time taken for denoising: ", -t + time())
+        denoised_file = sesdir + "/preprocessed_data_denoised_" + denoise_strategy + ".nii.gz"
+        nib.save(
+            nib.Nifti1Image(img_data_den.astype(np.float32), img.affine, img.header),
+            denoised_file,
+        )
+    else:
+        raise ValueError('Cannot run denoising without sigma estimate!')
+
+    return denoised_file
+
+
+def compute_readout(params):
+    """
+    Computes readout time from epi params (see `eddy documentation
+    <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/EDDY/Faq#How_do_I_know_what_to_put_into_my_--acqp_file.3F>`_).
+
+    .. warning:: ``params['echospacing']`` should be in *sec* units.
+
+
+    """
+    epi_factor = 1.0
+    acc_factor = 1.0
+    try:
+        if params['epi_factor'] > 1:
+            epi_factor = float(params['epi_factor'] - 1)
+    except:
+        pass
+    try:
+        if params['acc_factor'] > 1:
+            acc_factor = 1.0 / params['acc_factor']
+    except:
+        pass
+    return acc_factor * epi_factor * params['echospacing']
+
+
+def make_basename(out_corrected):
+    base_name = out_corrected.split('.nii.gz')[0]
+    return base_name
+
+
+def bytesto(bytes, to, bsize=1024):
+    """convert bytes to megabytes, etc.
+       sample code:
+           print('mb= ' + str(bytesto(314575262000000, 'm')))
+       sample output:
+           mb= 300002347.946
+    """
+
+    a = {'k' : 1, 'm': 2, 'g' : 3, 't' : 4, 'p' : 5, 'e' : 6 }
+    r = float(bytes)
+    for i in range(a[to]):
+        r = r / bsize
+
+    return(r)
\ No newline at end of file
diff --git a/dmriprep/utils/hemisphere.py b/dmriprep/utils/hemisphere.py
deleted file mode 100644
index 648f2a2f..00000000
--- a/dmriprep/utils/hemisphere.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import itertools
-import logging
-
-import numpy as np
-
-
-def is_hemispherical(vecs):
-    """
-    Test whether all points on a unit sphere lie in the same hemisphere.
-
-    **Inputs**
-
-    vecs : numpy.ndarray
-        2D numpy array with shape (N, 3) where N is the number of points.
-        All points must lie on the unit sphere.
-
-    **Outputs**
-
-    is_hemi : bool
-        If True, one can find a hemisphere that contains all the points.
-        If False, then the points do not lie in any hemisphere
-    pole : numpy.ndarray
-        If `is_hemi == True`, then pole is the "central" pole of the
-        input vectors. Otherwise, pole is the zero vector.
-
-    **References**
-
-    https://rstudio-pubs-static.s3.amazonaws.com/27121_a22e51b47c544980bad594d5e0bb2d04.html  # noqa
-    """
-    if vecs.shape[1] != 3:
-        raise ValueError("Input vectors must be 3D vectors")
-    if not np.allclose(1, np.linalg.norm(vecs, axis=1)):
-        raise ValueError("Input vectors must be unit vectors")
-
-    # Generate all pairwise cross products
-    v0, v1 = zip(*[p for p in itertools.permutations(vecs, 2)])
-    cross_prods = np.cross(v0, v1)
-
-    # Normalize them
-    cross_prods /= np.linalg.norm(cross_prods, axis=1)[:, np.newaxis]
-
-    # `cross_prods` now contains all candidate vertex points for "the polygon"
-    # in the reference. "The polygon" is a subset. Find which points belong to
-    # the polygon using a dot product test with each of the original vectors
-    angles = np.arccos(np.dot(cross_prods, vecs.transpose()))
-
-    # And test whether it is orthogonal or less
-    dot_prod_test = angles <= np.pi / 2.0
-
-    # If there is at least one point that is orthogonal or less to each
-    # input vector, then the points lie on some hemisphere
-    is_hemi = len(vecs) in np.sum(dot_prod_test.astype(int), axis=1)
-
-    if is_hemi:
-        vertices = cross_prods[
-            np.sum(dot_prod_test.astype(int), axis=1) == len(vecs)
-        ]
-        pole = np.mean(vertices, axis=0)
-        pole /= np.linalg.norm(pole)
-    else:
-        pole = np.array([0.0, 0.0, 0.0])
-    return is_hemi, pole
diff --git a/dmriprep/utils/qc.py b/dmriprep/utils/qc.py
new file mode 100644
index 00000000..fa3783cb
--- /dev/null
+++ b/dmriprep/utils/qc.py
@@ -0,0 +1,480 @@
+import base64
+import os.path as op
+from io import BytesIO
+import matplotlib
+matplotlib.use('agg')
+import matplotlib.pyplot as plt
+import nibabel as nib
+import numpy as np
+from dipy.segment.mask import median_otsu
+from nipype.utils.filemanip import save_json, load_json
+
+
+def normalize_xform(img):
+    """ Set identical, valid qform and sform matrices in an image
+    Selects the best available affine (sform > qform > shape-based), and
+    coerces it to be qform-compatible (no shears).
+    The resulting image represents this same affine as both qform and sform,
+    and is marked as NIFTI_XFORM_ALIGNED_ANAT, indicating that it is valid,
+    not aligned to template, and not necessarily preserving the original
+    coordinates.
+    If header would be unchanged, returns input image.
+    """
+    # Let nibabel convert from affine to quaternions, and recover xform
+    tmp_header = img.header.copy()
+    tmp_header.set_qform(img.affine)
+    xform = tmp_header.get_qform()
+    xform_code = 2
+
+    # Check desired codes
+    qform, qform_code = img.get_qform(coded=True)
+    sform, sform_code = img.get_sform(coded=True)
+    if all(
+        (
+            qform is not None and np.allclose(qform, xform),
+            sform is not None and np.allclose(sform, xform),
+            int(qform_code) == xform_code,
+            int(sform_code) == xform_code,
+        )
+    ):
+        return img
+
+    new_img = img.__class__(img.get_data(), xform, img.header)
+    # Unconditionally set sform/qform
+    new_img.set_sform(xform, xform_code)
+    new_img.set_qform(xform, xform_code)
+
+    return new_img
+
+
+def reorient_dwi(dwi_prep, bvecs, out_dir):
+    """
+    A function to reorient any dwi image and associated bvecs to RAS+.
+
+    Parameters
+    ----------
+    dwi_prep : str
+        File path to a dwi Nifti1Image.
+    bvecs : str
+        File path to corresponding bvecs file.
+    out_dir : str
+        Path to output directory.
+
+    Returns
+    -------
+    out_fname : str
+        File path to the reoriented dwi Nifti1Image.
+    out_bvec_fname : str
+        File path to corresponding reoriented bvecs file.
+    """
+    from dmriprep.utils.qc import normalize_xform
+
+    fname = dwi_prep
+    bvec_fname = bvecs
+    out_bvec_fname = "%s%s" % (out_dir, "/bvecs_reor.bvec")
+
+    input_img = nib.load(fname)
+    input_axcodes = nib.aff2axcodes(input_img.affine)
+    reoriented = nib.as_closest_canonical(input_img)
+    normalized = normalize_xform(reoriented)
+    # Is the input image oriented how we want?
+    new_axcodes = ("R", "A", "S")
+    if normalized is not input_img:
+        out_fname = "%s%s%s%s" % (
+            out_dir,
+            "/",
+            dwi_prep.split("/")[-1].split(".nii.gz")[0],
+            "_reor_RAS.nii.gz",
+        )
+        print("%s%s%s" % ("Reorienting ", dwi_prep, " to RAS+..."))
+
+        # Flip the bvecs
+        input_orientation = nib.orientations.axcodes2ornt(input_axcodes)
+        desired_orientation = nib.orientations.axcodes2ornt(new_axcodes)
+        transform_orientation = nib.orientations.ornt_transform(
+            input_orientation, desired_orientation
+        )
+        bvec_array = np.loadtxt(bvec_fname)
+        if bvec_array.shape[0] != 3:
+            bvec_array = bvec_array.T
+        if not bvec_array.shape[0] == transform_orientation.shape[0]:
+            raise ValueError("Unrecognized bvec format")
+        output_array = np.zeros_like(bvec_array)
+        for this_axnum, (axnum, flip) in enumerate(transform_orientation):
+            output_array[this_axnum] = bvec_array[int(axnum)] * float(flip)
+        np.savetxt(out_bvec_fname, output_array, fmt="%.8f ")
+    else:
+        out_fname = "%s%s%s%s" % (
+            out_dir,
+            "/",
+            dwi_prep.split("/")[-1].split(".nii.gz")[0],
+            "_noreor_RAS.nii.gz",
+        )
+        out_bvec_fname = bvec_fname
+
+    normalized.to_filename(out_fname)
+
+    return out_fname, out_bvec_fname
+
+
+def reorient_img(img, out_dir):
+    """
+    A function to reorient any non-dwi image to RAS+.
+
+    Parameters
+    ----------
+    img : str
+        File path to a Nifti1Image.
+    out_dir : str
+        Path to output directory.
+
+    Returns
+    -------
+    out_name : str
+        File path to reoriented Nifti1Image.
+    """
+    from dmriprep.utils.qc import normalize_xform
+
+    # Load image, orient as RAS
+    orig_img = nib.load(img)
+    reoriented = nib.as_closest_canonical(orig_img)
+    normalized = normalize_xform(reoriented)
+
+    # Image may be reoriented
+    if normalized is not orig_img:
+        print("%s%s%s" % ("Reorienting ", img, " to RAS+..."))
+        out_name = "%s%s%s%s" % (
+            out_dir,
+            "/",
+            img.split("/")[-1].split(".nii.gz")[0],
+            "_reor_RAS.nii.gz",
+        )
+    else:
+        out_name = "%s%s%s%s" % (
+            out_dir,
+            "/",
+            img.split("/")[-1].split(".nii.gz")[0],
+            "_noreor_RAS.nii.gz",
+        )
+
+    normalized.to_filename(out_name)
+
+    return out_name
+
+
+def match_target_vox_res(img_file, vox_size, out_dir):
+    """
+    A function to resample an image to a given isotropic voxel resolution.
+
+    Parameters
+    ----------
+    img_file : str
+        File path to a Nifti1Image.
+    vox_size : str
+        Voxel size in mm. (e.g. 2mm).
+    out_dir : str
+        Path to output directory.
+
+    Returns
+    -------
+    img_file : str
+        File path to resampled Nifti1Image.
+    """
+    import os
+    from dipy.align.reslice import reslice
+
+    # Check dimensions
+    img = nib.load(img_file)
+    data = img.get_fdata()
+    affine = img.affine
+    hdr = img.header
+    zooms = hdr.get_zooms()[:3]
+    if vox_size == "1mm":
+        new_zooms = (1.0, 1.0, 1.0)
+    elif vox_size == "2mm":
+        new_zooms = (2.0, 2.0, 2.0)
+
+    if (abs(zooms[0]), abs(zooms[1]), abs(zooms[2])) != new_zooms:
+        print("Reslicing image " + img_file + " to " + vox_size + "...")
+        img_file_res = "%s%s%s%s%s%s" % (
+            out_dir,
+            "/",
+            os.path.basename(img_file).split(".nii.gz")[0],
+            "_res",
+            vox_size,
+            ".nii.gz",
+        )
+        data2, affine2 = reslice(data, affine, zooms, new_zooms)
+        img2 = nib.Nifti1Image(data2, affine=affine2)
+        nib.save(img2, img_file_res)
+        img_file = img_file_res
+    else:
+        img_file_nores = "%s%s%s%s%s%s" % (
+            out_dir,
+            "/",
+            os.path.basename(img_file).split(".nii.gz")[0],
+            "_nores",
+            vox_size,
+            ".nii.gz",
+        )
+        nib.save(img, img_file_nores)
+        img_file = img_file_nores
+
+    return img_file
+
+
+def check_orient_and_dims(infile, vox_size, bvecs, outdir, overwrite=True):
+    """
+    An API to reorient any image to RAS+ and resample any image to a given voxel resolution.
+
+    Parameters
+    ----------
+    infile : str
+        File path to a dwi Nifti1Image.
+    vox_size : str
+        Voxel size in mm. (e.g. 2mm).
+    bvecs : str
+        File path to corresponding bvecs file if infile is a dwi.
+    outdir : str
+        Path to output directory.
+    overwrite : bool
+        Boolean indicating whether to overwrite existing outputs. Default is True.
+
+    Returns
+    -------
+    outfile : str
+        File path to the reoriented and/or resample Nifti1Image.
+    bvecs : str
+        File path to corresponding reoriented bvecs file if outfile is a dwi.
+    """
+    import warnings
+
+    warnings.filterwarnings("ignore")
+    from dmriprep.utils.qc import reorient_dwi, match_target_vox_res
+
+    # Check orientation
+    # dwi case
+    # Check orientation
+    if ("RAS" not in infile) or (overwrite is True):
+        [infile, bvecs] = reorient_dwi(infile, bvecs, outdir)
+    # Check dimensions
+    if ("reor" not in infile) or (overwrite is True):
+        outfile = match_target_vox_res(infile, vox_size, outdir)
+        print(outfile)
+
+    return outfile, bvecs
+
+
+def mplfig(data, outfile=None, as_bytes=False):
+    fig = plt.figure(frameon=False, dpi=data.shape[0])
+    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
+    ax = plt.Axes(fig, [0., 0., 1., 1.])
+    ax.set_axis_off()
+    fig.add_axes(ax)
+    ax.imshow(data, aspect=1, cmap=plt.cm.Greys_r)  # previous aspect="normal"
+    if outfile:
+        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
+        plt.close()
+        return outfile
+    if as_bytes:
+        IObytes = BytesIO()
+        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
+        IObytes.seek(0)
+        base64_jpgData = base64.b64encode(IObytes.read())
+        return base64_jpgData.decode("ascii")
+
+
+def mplfigcontour(data, outfile=None, as_bytes=False):
+    fig = plt.figure(frameon=False)
+    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
+    ax = plt.Axes(fig, [0., 0., 1., 1.])
+    ax.set_axis_off()
+    fig.add_axes(ax)
+
+    bg = np.zeros(data.shape)
+    bg[:] = np.nan
+    ax.imshow(bg, aspect=1, cmap=plt.cm.Greys_r)  # used to be aspect="normal"
+    ax.contour(data, colors="red", linewidths=0.1)
+    if outfile:
+        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
+        plt.close()
+        return outfile
+    if as_bytes:
+        IObytes = BytesIO()
+        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
+        IObytes.seek(0)
+        base64_jpgData = base64.b64encode(IObytes.read())
+        return base64_jpgData.decode("ascii")
+
+
+def load_and_reorient(filename):
+    img = nib.load(filename)
+    data, aff = img.get_data(), img.affine
+    data = reorient_array(data, aff)
+    return data
+
+
+def reshape3D(data, n=256):
+    return np.pad(data, (
+        (
+            (n-data.shape[0]) // 2,
+            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
+        ),
+        (
+            (n-data.shape[1]) // 2,
+            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
+        ),
+        (0, 0)
+    ), "constant", constant_values=(0, 0))
+
+
+def reshape4D(data, n=256):
+    return np.pad(data, (
+        (
+            (n-data.shape[0]) // 2,
+            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
+        ),
+        (
+            (n-data.shape[1]) // 2,
+            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
+        ),
+        (0, 0), (0, 0)
+    ), "constant", constant_values=(0, 0))
+
+
+def get_middle_slices(data, slice_direction):
+    slicer = {"ax": 0, "cor": 1, "sag": 2}
+    all_data_slicer = [slice(None), slice(None), slice(None)]
+    num_slices = data.shape[slicer[slice_direction]]
+    slice_num = int(num_slices / 2)
+    all_data_slicer[slicer[slice_direction]] = slice_num
+    tile = data[tuple(all_data_slicer)]
+
+    # make it a square
+    N = max(tile.shape[:2])
+    tile = reshape3D(tile, N)
+
+    return tile
+
+
+def nearest_square(limit):
+    answer = 0
+    while (answer+1)**2 < limit:
+        answer += 1
+    if (answer ** 2) == limit:
+        return answer
+    else:
+        return answer + 1
+
+
+def create_sprite_from_tiles(tile, out_file=None, as_bytes=False):
+    num_slices = tile.shape[-1]
+    N = nearest_square(num_slices)
+    M = int(np.ceil(num_slices/N))
+    # tile is square, so just make a big arr
+    pix = tile.shape[0]
+
+    if len(tile.shape) == 3:
+        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0]))
+    else:
+        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0], tile.shape[-2]))
+
+    mosaic[:] = np.nan
+    helper = np.arange(N*M).reshape((N, M))
+
+    for t in range(num_slices):
+        x, y = np.nonzero(helper == t)
+        xmin = x[0] * pix
+        xmax = (x[0] + 1) * pix
+        ymin = y[0] * pix
+        ymax = (y[0] + 1) * pix
+
+        if len(tile.shape) == 3:
+            mosaic[xmin:xmax, ymin:ymax] = tile[:, :, t]
+        else:
+            mosaic[xmin:xmax, ymin:ymax, :] = tile[:, :, :, t]
+
+    if as_bytes:
+        img = mplfig(mosaic, out_file, as_bytes=as_bytes)
+        return dict(img=img, N=N, M=M, pix=pix, num_slices=num_slices)
+
+    if out_file:
+        img = mplfig(mosaic, out_file), N, M, pix, num_slices
+
+    return dict(mosaic=mosaic, N=N, M=M, pix=pix, num_slices=num_slices)
+
+
+def createSprite4D(dwi_file):
+
+    # initialize output dict
+    output = []
+
+    # load the file
+    dwi = load_and_reorient(dwi_file)[:, :, :, 1:]
+
+    # create tiles from center slice on each orientation
+    for orient in ['sag', 'ax', 'cor']:
+        tile = get_middle_slices(dwi, orient)
+
+        # create sprite images for each
+        results = create_sprite_from_tiles(tile, as_bytes=True)
+        results['img_type'] = '4dsprite'
+        results['orientation'] = orient
+        output.append(results)
+
+    return output
+
+
+def createB0_ColorFA_Mask_Sprites(b0_file, colorFA_file, mask_file):
+    colorfa = load_and_reorient(colorFA_file)
+    b0 = load_and_reorient(b0_file)[:, :, :, 0]
+    anat_mask = load_and_reorient(mask_file)
+
+    N = max(*b0.shape[:2])
+
+    # make a b0 sprite
+    b0 = reshape3D(b0, N)
+    _, mask = median_otsu(b0)
+    outb0 = create_sprite_from_tiles(b0, as_bytes=True)
+    outb0['img_type'] = 'brainsprite'
+
+    # make a colorFA sprite, masked by b0
+    Q = reshape4D(colorfa, N)
+    Q[np.logical_not(mask)] = np.nan
+    Q = np.moveaxis(Q,  -2, -1)
+    outcolorFA = create_sprite_from_tiles(Q, as_bytes=True)
+    outcolorFA['img_type'] = 'brainsprite'
+
+    # make an anat mask contour sprite
+    outmask = create_sprite_from_tiles(reshape3D(anat_mask, N))
+    img = mplfigcontour(outmask.pop("mosaic"), as_bytes=True)
+    outmask['img'] = img
+
+    return outb0, outcolorFA, outmask
+
+
+def create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
+                       color_fa_file, anat_mask_file,
+                       outlier_indices,
+                       eddy_qc_file,
+                       outpath=op.abspath('./report.json')):
+
+    report = {}
+    report['dwi_corrected'] = createSprite4D(dwi_corrected_file)
+
+    b0, colorFA, mask = createB0_ColorFA_Mask_Sprites(dwi_corrected_file,
+                                                      color_fa_file,
+                                                      anat_mask_file)
+    report['b0'] = b0
+    report['colorFA'] = colorFA
+    report['anat_mask'] = mask
+    report['outlier_volumes'] = outlier_indices.tolist()
+
+    with open(eddy_report, 'r') as f:
+        report['eddy_report'] = f.readlines()
+
+    report['eddy_params'] = np.genfromtxt(eddy_rms).tolist()
+    eddy_qc = load_json(eddy_qc_file)
+    report['eddy_quad'] = eddy_qc
+    save_json(outpath, report)
+    return outpath
diff --git a/dmriprep/viz/__init__.py b/dmriprep/viz/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/dmriprep/viz/utils.py b/dmriprep/viz/utils.py
deleted file mode 100644
index 9df54079..00000000
--- a/dmriprep/viz/utils.py
+++ /dev/null
@@ -1,82 +0,0 @@
-"""Visualization tooling."""
-
-
-def plot_registration(
-    anat_nii,
-    div_id,
-    plot_params=None,
-    order=("z", "x", "y"),
-    cuts=None,
-    estimate_brightness=False,
-    label=None,
-    contour=None,
-    compress="auto",
-):
-    """
-    Plot the foreground and background views.
-    Default order is: axial, coronal, sagittal
-    """
-    from uuid import uuid4
-
-    from lxml import etree
-    from nilearn.plotting import plot_anat
-    from svgutils.transform import SVGFigure
-    from niworkflows.viz.utils import robust_set_limits, extract_svg, SVGNS
-
-    plot_params = plot_params or {}
-
-    # Use default MNI cuts if none defined
-    if cuts is None:
-        raise NotImplementedError  # TODO
-
-    out_files = []
-    if estimate_brightness:
-        plot_params = robust_set_limits(anat_nii.get_data().reshape(-1), plot_params)
-
-    # Plot each cut axis
-    for i, mode in enumerate(list(order)):
-        plot_params["display_mode"] = mode
-        plot_params["cut_coords"] = cuts[mode]
-        if i == 0:
-            plot_params["title"] = label
-        else:
-            plot_params["title"] = None
-
-        # Generate nilearn figure
-        display = plot_anat(anat_nii, **plot_params)
-        if contour is not None:
-            display.add_contours(contour, colors="g", levels=[0.5], linewidths=0.5)
-
-        svg = extract_svg(display, compress=compress)
-        display.close()
-
-        # Find and replace the figure_1 id.
-        xml_data = etree.fromstring(svg)
-        find_text = etree.ETXPath("//{%s}g[@id='figure_1']" % SVGNS)
-        find_text(xml_data)[0].set("id", "%s-%s-%s" % (div_id, mode, uuid4()))
-
-        svg_fig = SVGFigure()
-        svg_fig.root = xml_data
-        out_files.append(svg_fig)
-
-    return out_files
-
-
-def coolwarm_transparent():
-    """Modify the coolwarm color scale to have full transparency around the middle."""
-    import numpy as np
-    import matplotlib.pylab as pl
-    from matplotlib.colors import ListedColormap
-
-    # Choose colormap
-    cmap = pl.cm.coolwarm
-
-    # Get the colormap colors
-    my_cmap = cmap(np.arange(cmap.N))
-
-    # Set alpha
-    alpha = np.ones(cmap.N)
-    alpha[128:160] = np.linspace(0, 1, len(alpha[128:160]))
-    alpha[96:128] = np.linspace(1, 0, len(alpha[96:128]))
-    my_cmap[:, -1] = alpha
-    return ListedColormap(my_cmap)
diff --git a/dmriprep/workflows/_afq/cli.py b/dmriprep/workflows/_afq/cli.py
deleted file mode 100644
index a887cda6..00000000
--- a/dmriprep/workflows/_afq/cli.py
+++ /dev/null
@@ -1,281 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""Console script for dmriprep."""
-import os
-import sys
-import warnings
-from multiprocessing import cpu_count
-
-import click
-from bids import BIDSLayout
-from nipype import config as ncfg
-
-from .utils.bids import collect_participants
-from .workflows.base import init_dmriprep_wf
-
-# Filter warnings that are visible whenever you import another package that
-# was compiled against an older numpy than is installed.
-warnings.filterwarnings('ignore', message='numpy.dtype size changed')
-warnings.filterwarnings('ignore', message='numpy.ufunc size changed')
-
-
-@click.command()
-# arguments as specified by BIDS-Apps
-@click.argument('bids_dir', type=click.Path(exists=True, file_okay=False))
-@click.argument(
-    'output_dir', type=click.Path(exists=True, file_okay=False, writable=True)
-)
-@click.argument(
-    'analysis_level',
-    default='participant',
-    type=click.Choice(['participant', 'group'])
-)
-# optional arguments
-# options for filtering BIDS queries
-@click.option(
-    '--skip_bids_validation',
-    help='Assume the input dataset is BIDS compliant and skip the validation',
-    is_flag=True
-)
-@click.option(
-    '--participant_label',
-    default=None,
-    help='The label(s) of the participant(s) that should be '
-    'analyzed. The label corresponds to '
-    'sub-<participant_label> from the BIDS spec (the "sub-" '
-    'prefix can be removed). If this parameter is not provided '
-    'all subjects will be analyzed. Multiple participants '
-    'can be specified with a space delimited list.',
-    multiple=True
-)
-@click.option(
-    '--session_label',
-    default=None,
-    help='The label(s) of session(s) that should be analyzed. '
-         'the label corresponds to ses-<session_label from the '
-         'BIDS spec (the "ses-" prefix can be removed). If this '
-         'parameter is not provided, all sessions will be '
-         'analyzed. Multiple sessions can be specified with '
-         'a space delimited list.',
-    multiple=True
-)
-# options for prepping dwi scans
-@click.option(
-    '--concat_dwis',
-    default=None,
-    help='A space delimited list of acq-<label>',
-    multiple=True
-)
-@click.option(
-    '--b0_thresh',
-    default=5,
-    show_default=True,
-    help='Threshold for b0 value',
-    type=click.IntRange(min=0, max=10)
-)
-@click.option(
-    '--output_resolution',
-    help='The isotropic voxel size in mm the data will be resampled to before eddy.',
-    type=float,
-    multiple=True
-)
-@click.option(
-    '--bet_dwi',
-    default=0.3,
-    show_default=True,
-    help='Fractional intensity threshold for BET on the DWI. '
-    'A higher value will be more strict; it will cut off more '
-    'around what it analyzes the brain to be.',
-    type=click.FloatRange(min=0, max=1)
-)
-@click.option(
-    '--bet_mag',
-    default=0.3,
-    show_default=True,
-    help='Fractional intensity threshold for BET on the magnitude. '
-    'A higher value will be more strict; it will cut off more '
-    'around what it analyzes the brain to be.',
-    type=click.FloatRange(min=0, max=1)
-)
-# specific options for eddy
-@click.option(
-    '--acqp_file',
-    default=None,
-    help='If you want to pass in an acqp file for topup/eddy instead of'
-    'generating it from the json by default.',
-    type=click.Path(exists=True, dir_okay=False)
-)
-# workflow configuration
-@click.option(
-    '--nthreads',
-    '--n_cpus',
-    default=1,
-    show_default=True,
-    help='Maximum number of threads across all processes',
-    type=int
-)
-@click.option(
-    '--omp_nthreads',
-    default=1,
-    show_default=True,
-    help='Maximum number of threads per process',
-    type=int
-)
-@click.option(
-    '--ignore',
-    '-i',
-    help='Specify which node(s) to skip during the preprocessing of the dwi.',
-    type=click.Choice(['denoising', 'unringing', 'fieldmaps']),
-    multiple=True
-)
-@click.option(
-    '--use_ants',
-    is_flag=True,
-    default=False,
-    help='Use ANTs SDC',
-    type=bool
-)
-@click.option(
-    '--use_brainsuite',
-    is_flag=True,
-    default=False,
-    help='Use BrainSuite SDC',
-    type=bool
-)
-@click.option(
-    '--work_dir',
-    '-w',
-    help='working directory',
-    type=click.Path(exists=True, file_okay=False, writable=True)
-)
-@click.option(
-    '--synb0_dir',
-    default=None,
-    help='If you want to use Synb0-DISCO for preprocessing.',
-    type=click.Path(exists=True, file_okay=False)
-)
-@click.option(
-    '--write_graph',
-    is_flag=True,
-    default=False,
-    help='Write out nipype workflow graph.',
-    type=bool
-)
-def main(
-    bids_dir,
-    output_dir,
-    analysis_level,
-    skip_bids_validation,
-    participant_label,
-    session_label,
-    concat_dwis,
-    b0_thresh,
-    output_resolution,
-    bet_dwi,
-    bet_mag,
-    acqp_file,
-    nthreads,
-    omp_nthreads,
-    ignore,
-    use_ants,
-    use_brainsuite,
-    work_dir,
-    synb0_dir,
-    write_graph
-):
-    """
-    BIDS_DIR: The directory with the input dataset formatted according to the
-    BIDS standard.
-
-    OUTPUT_DIR: The directory where the output files should be stored. If you
-    are running a group level analysis, this folder should be prepopulated with
-    the results of the participant level analysis.
-
-    ANALYSIS_LEVEL: Level of the analysis that will be performed. Multiple
-    participant level analyses can be run independently (in parallel).
-    """
-
-    if analysis_level != 'participant':
-        raise NotImplementedError(
-            'The only valid analysis level for dmriprep '
-            'is participant at the moment.'
-        )
-
-    layout = BIDSLayout(bids_dir, validate=True)
-    subject_list = collect_participants(
-        layout, participant_label=participant_label
-    )
-
-    if not skip_bids_validation:
-        from .utils.bids import validate_input_dir
-        validate_input_dir(bids_dir, subject_list)
-
-    if not work_dir:
-        work_dir = os.path.join(output_dir, 'scratch')
-
-    if len(output_resolution) == 1:
-        output_resolution = output_resolution * 3
-
-    log_dir = os.path.join(output_dir, 'dmriprep', 'logs')
-
-    plugin_settings = {
-        'plugin': 'MultiProc',
-        'plugin_args': {
-            'raise_insufficient': False,
-            'maxtasksperchild': 1,
-            'n_procs': nthreads
-        }
-    }
-
-    if omp_nthreads == 0:
-        omp_nthreads = min(nthreads - 1 if nthreads > 1 else cpu_count(), 8)
-
-    ncfg.update_config({
-        'logging': {
-            'log_directory': log_dir,
-            'log_to_file': True
-        },
-        'execution': {
-            'crashdump_dir': log_dir,
-            'crashfile_format': 'txt',
-            'remove_unnecessary_outputs': False,
-            'keep_inputs': True,
-            'get_linked_libs': False,
-            'stop_on_first_crash': True
-        },
-        'monitoring': {
-            'enabled': True,
-            'sample_frequency': '0.5',
-            'summary_append': True
-        }
-    })
-
-    wf = init_dmriprep_wf(
-        layout=layout,
-        output_dir=output_dir,
-        subject_list=subject_list,
-        session_list=list(session_label),
-        concat_dwis=list(concat_dwis),
-        b0_thresh=b0_thresh,
-        output_resolution=output_resolution,
-        bet_dwi=bet_dwi,
-        bet_mag=bet_mag,
-        acqp_file=acqp_file,
-        omp_nthreads=omp_nthreads,
-        ignore=list(ignore),
-        use_ants=use_ants,
-        use_brainsuite=use_brainsuite,
-        work_dir=work_dir,
-        synb0_dir=synb0_dir
-    )
-
-    if write_graph:
-        wf.write_graph(graph2use='colored', format='svg', simple_form=True)
-
-    wf.run(**plugin_settings)
-
-    return 0
-
-
-if __name__ == '__main__':
-    sys.exit(main())  # pragma: no cover
diff --git a/dmriprep/workflows/_afq/data.py b/dmriprep/workflows/_afq/data.py
deleted file mode 100644
index d06767e5..00000000
--- a/dmriprep/workflows/_afq/data.py
+++ /dev/null
@@ -1,1133 +0,0 @@
-"""
-Functions to download example data from public repositories.
-
-"""
-import copy
-import json
-import logging
-import os
-import os.path as op
-import re
-import subprocess
-from pathlib import Path
-
-import pandas as pd
-from dask import compute, delayed
-from dask.diagnostics import ProgressBar
-from tqdm.auto import tqdm
-
-
-mod_logger = logging.getLogger(__name__)
-
-
-def get_dataset(output_dir, source='HBN', subject_id='sub-NDARBA507GCT'):
-    if source in ['HBN']:
-        get_hbn_data(output_dir, subject_id)
-    else:
-        raise ValueError('Invalid dataset source')
-
-
-def get_hbn_data(output_dir, subject_id):
-    hbn_study = HBN(subjects=subject_id)
-    subject = hbn_study.subjects[0]
-    subject.download(directory=output_dir)
-    # TODO: return a dict of subject ids and folder locations.
-    return os.path.join(output_dir, subject_id)
-
-
-def get_s3_client():
-    """Return a boto3 s3 client
-
-    Returns
-    -------
-    s3_client : boto3.client('s3')
-    """
-    import boto3
-    from botocore import UNSIGNED
-    from botocore.client import Config
-
-    # Global s3 client to preserve anonymous config
-    s3_client = boto3.client('s3', config=Config(signature_version=UNSIGNED))
-    return s3_client
-
-
-def _get_matching_s3_keys(bucket, prefix='', suffix=''):
-    """Generate all the matching keys in an S3 bucket.
-
-    Parameters
-    ----------
-    bucket : str
-        Name of the S3 bucket
-
-    prefix : str, optional
-        Only fetch keys that start with this prefix
-
-    suffix : str, optional
-        Only fetch keys that end with this suffix
-
-    Yields
-    ------
-    key : str
-        S3 keys that match the prefix and suffix
-    """
-    s3 = get_s3_client()
-    kwargs = {'Bucket': bucket, "MaxKeys": 1000}
-
-    # If the prefix is a single string (not a tuple of strings), we can
-    # do the filtering directly in the S3 API.
-    if isinstance(prefix, str):
-        kwargs['Prefix'] = prefix
-
-    while True:
-        # The S3 API response is a large blob of metadata.
-        # 'Contents' contains information about the listed objects.
-        resp = s3.list_objects_v2(**kwargs)
-
-        try:
-            contents = resp['Contents']
-        except KeyError:
-            return
-
-        for obj in contents:
-            key = obj['Key']
-            if key.startswith(prefix) and key.endswith(suffix):
-                yield key
-
-        # The S3 API is paginated, returning up to 1000 keys at a time.
-        # Pass the continuation token into the next response, until we
-        # reach the final page (when this field is missing).
-        try:
-            kwargs['ContinuationToken'] = resp['NextContinuationToken']
-        except KeyError:
-            break
-
-
-def _download_from_s3(fname, bucket, key, overwrite=False):
-    """Download object from S3 to local file
-
-    Parameters
-    ----------
-    fname : str
-        File path to which to download the object
-
-    bucket : str
-        S3 bucket name
-
-    key : str
-        S3 key for the object to download
-
-    overwrite : bool, default=False
-        If True, overwrite file if it already exists.
-        If False, skip download and return
-    """
-    # Create the directory and file if necessary
-    s3 = get_s3_client()
-    Path(op.dirname(fname)).mkdir(parents=True, exist_ok=True)
-    try:
-        Path(fname).touch(exist_ok=overwrite)
-
-        # Download the file
-        s3.download_file(Bucket=bucket, Key=key, Filename=fname)
-    except FileExistsError:
-        mod_logger.info(f'File {fname} already exists. Continuing...')
-        pass
-
-
-def _recursive_split_ext(path):
-    """Recursively split pathname `path` into components.
-
-    Parameters
-    ----------
-    path : path-like object
-
-    Returns
-    -------
-    tuple :
-        tuple of path parts. All parts except the first have a beginning
-        period.
-
-    """
-    p0, p1 = op.splitext(path)
-    if p1:
-        return _recursive_split_ext(p0) + (p1,)
-    else:
-        return (p0,)
-
-
-def _cumulative_paths(path_parts, add_ext=""):
-    """Return all possible cumulative path names from a list of path parts
-
-    For example, if `path_parts` = ["a", ".b", ".c", ".d"],
-    this function will return ["a", "a.b", "a.b.c", "a.b.c.d"]
-
-    Parameters
-    ----------
-    path_parts: sequence of strings
-        The sequence of path substrings. All elements except the first must
-        begin with a period.
-
-    add_ext: str
-        If provided, add this extension to each element of the result
-
-    Returns
-    -------
-    list :
-        List of cumulative path names
-    """
-    try:
-        add_ext = add_ext if add_ext[0] == "." else "." + add_ext
-    except IndexError:
-        pass
-
-    return [''.join(path_parts[:i+1]) + add_ext
-            for i in range(len(path_parts))]
-
-
-class Study:
-    """A dMRI based study with a BIDS compliant directory structure"""
-    def __init__(self, study_id, bucket, s3_prefix, subjects=None):
-        """Initialize a Study instance
-
-        Parameters
-        ----------
-        study_id : str
-            An identifier string for the study
-
-        bucket : str
-            The S3 bucket that contains the study data
-
-        s3_prefix : str
-            The S3 prefix common to all of the study objects on S3
-
-        subjects : str, sequence(str), int, or None
-            If int, retrieve S3 keys for the first `subjects` subjects.
-            If "all", retrieve all subjects.
-            If str or sequence of strings, retrieve S3 keys for the specified
-            subjects. If None, retrieve S3 keys for the first subject.
-        """
-        if not isinstance(study_id, str):
-            raise TypeError("subject_id must be a string.")
-
-        if not isinstance(bucket, str):
-            raise TypeError("bucket must be a string.")
-
-        if not isinstance(s3_prefix, str):
-            raise TypeError("s3_prefix must be a string.")
-
-        if not (subjects is None or
-                isinstance(subjects, int) or
-                isinstance(subjects, str) or
-                all(isinstance(s, str) for s in subjects)):
-            raise TypeError("subjects must be an int, string or a "
-                            "sequence of strings.")
-
-        if isinstance(subjects, int) and subjects < 1:
-            raise ValueError("If subjects is an int, it must be "
-                             "greater than 0.")
-
-        self._study_id = study_id
-        self._bucket = bucket
-        self._s3_prefix = s3_prefix
-
-        self._all_subjects = self.list_all_subjects()
-        if subjects is None or subjects == 1:
-            enter_validation_loop = True
-            subjects = [sorted(self._all_subjects.keys())[0]]
-            self._n_requested = 1
-        elif isinstance(subjects, int) and subjects > 1:
-            enter_validation_loop = True
-            self._n_requested = subjects
-            subjects = sorted(self._all_subjects.keys())[:subjects]
-        elif subjects == "all":
-            enter_validation_loop = False
-            self._n_requested = len(self._all_subjects)
-            subjects = list(self._all_subjects.keys())
-        elif isinstance(subjects, str):
-            enter_validation_loop = False
-            self._n_requested = 1
-            subjects = [subjects]
-        else:
-            enter_validation_loop = False
-            self._n_requested = len(subjects)
-
-        if not set(subjects) <= set(self._all_subjects.keys()):
-            raise ValueError(
-                f"The following subjects could not be found in the study: "
-                f"{set(subjects) - set(self._all_subjects.keys())}"
-            )
-
-        subs = [
-            delayed(self._get_subject)(s) for s in set(subjects)
-        ]
-
-        print("Retrieving subject S3 keys")
-        with ProgressBar():
-            subjects = list(compute(*subs, scheduler="threads"))
-
-        self._subjects = [s for s in subjects if s.valid]
-
-        if enter_validation_loop:
-            # index of first uninspected subject
-            idx_lo = self._n_requested
-            while len(self._subjects) < self._n_requested:
-                n_needed = self._n_requested - len(self._subjects)
-                if n_needed == 1:
-                    subjects = [sorted(self._all_subjects.keys())[idx_lo]]
-                else:
-                    subjects = sorted(
-                        self._all_subjects.keys()
-                    )[idx_lo:idx_lo + n_needed]
-
-                idx_lo += n_needed
-
-                subs = [
-                    delayed(self._get_subject)(s) for s in set(subjects)
-                ]
-
-                with ProgressBar():
-                    subjects = list(compute(*subs, scheduler="threads"))
-
-                self._subjects += [s for s in subjects if s.valid]
-
-            self._n_discarded = 0
-        else:
-            self._n_discarded = len([s for s in subjects if not s.valid])
-
-
-    @property
-    def study_id(self):
-        """An identifier string for the study"""
-        return self._study_id
-
-    @property
-    def bucket(self):
-        """The S3 bucket that contains the study data"""
-        return self._bucket
-
-    @property
-    def s3_prefix(self):
-        """The S3 prefix common to all of the study objects on S3"""
-        return self._s3_prefix
-
-    @property
-    def subjects(self):
-        """A list of Subject instances for each requested subject"""
-        return self._subjects
-
-    def __repr__(self):
-        return (f"{type(self).__name__}(study_id={self.study_id}, "
-                f"bucket={self.bucket}, s3_prefix={self.s3_prefix})")
-
-    def _get_subject(self, subject_id):
-        """Return a Subject instance from a subject-ID"""
-        return Subject(subject_id=subject_id,
-                       site=self._all_subjects[subject_id],
-                       study=self)
-
-    def list_all_subjects(self):
-        """Return a study-specific list of subjects.
-
-        Returns
-        -------
-        dict
-            dict with participant_id as keys and site_id as values
-        """
-        raise NotImplementedError
-
-    def filter_keys(self, subject):
-        """Study-specific S3 key filtering
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        pass
-
-    def postprocess(self, subject):
-        """Study-specific postprocessing steps
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        pass
-
-    def download(self, directory, include_site=False, overwrite=False,
-                 pbar=True):
-        """Download files for each subject in the study
-
-        Parameters
-        ----------
-        directory : str
-            Directory to which to download subject files
-
-        include_site : bool, default=False
-            If True, include the site-ID in the download path
-
-        overwrite : bool, default=False
-            If True, overwrite files for each subject
-
-        pbar : bool, default=True
-            If True, include progress bar
-
-        See Also
-        --------
-        dmriprep.data.Subject.download()
-        """
-        results = [delayed(sub.download)(
-            directory=directory,
-            include_site=include_site,
-            overwrite=overwrite,
-            pbar=pbar,
-            pbar_idx=idx,
-        ) for idx, sub in enumerate(self.subjects)]
-
-        compute(*results, scheduler="threads")
-
-
-class S3BidsStudy(Study):
-    """
-
-    """
-    def __init__(self, study_id, bucket, s3_prefix=None,
-                 subjects=None):
-        """
-        Initialize a study which is organized as BIDS compliant S3 bucket, or a
-        sub-path of this bucket.
-
-        Parameters
-        ----------
-        study_id : str An identifier string for the study
-
-        bucket : str The S3 bucket that contains the study data
-
-        s3_prefix : str, optional The S3 prefix common to all of the study
-            objects on S3. Defaults to the root of the bucket.
-
-        subjects : str, sequence(str), int, or None
-            If int, retrieve S3 keys for the first `subjects` subjects.
-            If str or sequence of strings, retrieve S3 keys for the specified
-            subjects. If None, retrieve S3 keys for the first subject. If 'all',
-            use all of the subjects in the study.
-        """
-        if s3_prefix is None:
-            s3_prefix = ""
-        super().__init__(
-            study_id=study_id,
-            bucket=bucket,
-            s3_prefix=s3_prefix,
-            subjects=subjects)
-
-    def list_all_subjects(self):
-        """
-        Find the identifiers of all subjects
-        """
-        # XXX Ariel will figure this out.
-
-
-
-
-class HBN(Study):
-    """The HBN study
-
-    See Also
-    --------
-    dmriprep.data.Study
-    """
-    def __init__(self, subjects=None):
-        """Initialize the HBN instance
-
-        Parameters
-        ----------
-        subjects : str, sequence(str), int, or None
-            If int, retrieve S3 keys for the first `subjects` subjects.
-            If str or sequence of strings, retrieve S3 keys for the specified
-            subjects. If None, retrieve S3 keys for the first subject.
-        """
-        super().__init__(
-            study_id="HBN",
-            bucket="fcp-indi",
-            s3_prefix="data/Projects/HBN/MRI",
-            subjects=subjects
-        )
-
-    def list_all_subjects(self):
-        """Return dict of HBN subjects
-
-        Retrieve subjects from the participants.tsv files at each site
-
-        Returns
-        -------
-        dict
-            dict with participant_id as keys and site_id as values
-        """
-        def get_site_tsv_keys(site_id):
-            pre = 'data/Projects/HBN/MRI/'
-            raw = pre + f'{site_id}/participants.tsv'
-            deriv = pre + f'{site_id}/derivatives/participants.tsv'
-            return {'raw': raw, 'deriv': deriv}
-
-        sites = ['Site-CBIC', 'Site-RU', 'Site-SI']
-        tsv_keys = {site: get_site_tsv_keys(site) for site in sites}
-
-        s3 = get_s3_client()
-
-        def get_subs_from_tsv_key(s3_key):
-            response = s3.get_object(
-                Bucket=self.bucket,
-                Key=s3_key
-            )
-
-            return set(pd.read_csv(
-                response.get('Body')
-            ).participant_id.values)
-
-        subjects = {}
-        for site, s3_keys in tsv_keys.items():
-            site_subs = {k: get_subs_from_tsv_key(v)
-                         for k, v in s3_keys.items()}
-            subjects[site] = site_subs['raw'] & site_subs['deriv']
-
-        all_subjects = {}
-        for site, subs in subjects.items():
-            for s in subs:
-                all_subjects[s] = site
-
-        return all_subjects
-
-    def filter_keys(self, subject):
-        """Filter S3 keys based on HBN specific vagaries
-
-        HBN Site-CBIC has multiple anatomy folders due to
-        motion correction software at the scanner level.
-        If subject.site == "Site-CBIC" then choose only the
-        anatomy files in the T1W_VNavNorm files
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        if subject.site == "Site-CBIC":
-            t1w_keys = subject.s3_keys['t1w']
-            freesurfer_keys = subject.s3_keys['freesurfer']
-            correct_dir = "T1w_VNavNorm"
-
-            subject._s3_keys['t1w'] = list(filter(
-                lambda x: correct_dir in x,
-                t1w_keys
-            ))
-
-            subject._s3_keys['freesurfer'] = list(filter(
-                lambda x: correct_dir in x,
-                freesurfer_keys
-            ))
-
-    def postprocess(self, subject):
-        """Move the T1 file back into the freesurfer directory.
-
-        This step is specific to the HBN dataset where the T1 files
-        are outside of the derivatives/sub-XXX/freesurfer directory,
-        due to defacing protocols.
-
-        Parameters
-        ----------
-        subject : dmriprep.data.Subject
-            subject instance
-        """
-        for sess in subject.files.keys():
-            t1_file = subject.files[sess]['t1w'][0]
-            freesurfer_path = op.join(op.dirname(t1_file), 'freesurfer')
-
-            convert_cmd = 'mri_convert {in_:s} {out_:s}'.format(
-                in_=t1_file, out_=op.join(freesurfer_path, 'mri', 'orig.mgz')
-            )
-
-            fnull = open(os.devnull, 'w')
-            subprocess.call(convert_cmd.split(),
-                            stdout=fnull,
-                            stderr=subprocess.STDOUT)
-
-            # if the site is CBIC, then the freesurfer directory has an additional level.
-            # move that level up by 1 (e.g. removing the T1w_VNavNorm folder
-            if subject.site == 'Site-CBIC':
-                newpath = freesurfer_path.replace('T1w_VNavNorm/', '')
-                move_cmd = 'mv {oldpath} {newpath}'.format(oldpath=freesurfer_path, newpath=newpath)
-                fnull1 = open(os.devnull, 'w')
-                subprocess.call(move_cmd.split(),
-                                stdout=fnull1,
-                                stderr=subprocess.STDOUT)
-
-            # now check that the AP/PA files are named correctly
-            # eg it should look like "sub-{id}_dir-{dir}_acq-dwi_epi.nii.gz
-            # but sometimes it looks like sub-{id}_acq-dwi_run-01_epi.nii.gz
-            # which is silly. the direction should be in the filename.
-
-
-class Subject:
-    """A single dMRI study subject"""
-    def __init__(self, subject_id, study, site=None):
-        """Initialize a Subject instance
-
-        Parameters
-        ----------
-        subject_id : str
-            Subject-ID for this subject
-
-        study : dmriprep.data.Study
-            The Study for which this subject was a participant
-
-        site : str, optional
-            Site-ID for the site from which this subject's data was collected
-        """
-        if not isinstance(subject_id, str):
-            raise TypeError("subject_id must be a string.")
-
-        if not isinstance(study, Study):
-            raise TypeError("study must be an instance of Study.")
-
-        self._subject_id = subject_id
-        self._study = study
-        self._site = site
-        self._valid = False
-        self._organize_s3_keys()
-        if self.valid:
-            self.study.filter_keys(self)
-            self._s3_keys = self._determine_directions(self._s3_keys)
-            self._files = None
-
-    @property
-    def subject_id(self):
-        """An identifier string for the subject"""
-        return self._subject_id
-
-    @property
-    def study(self):
-        """The study in which this subject participated"""
-        return self._study
-
-    @property
-    def site(self):
-        """The site at which this subject was a participant"""
-        return self._site
-
-    @property
-    def valid(self):
-        """If True, this subject has all the required MRI files"""
-        return self._valid
-
-    @property
-    def s3_keys(self):
-        """S3 keys for this subject's dMRI data
-
-        The S3 keys are stored in a dict with following keys:
-        - "dwi": Nifti file for DWI image
-        - "bval": Bval file
-        - "bvec": Bvec file
-        - "epi_ap": Nifti EPI image (anterior to posterior)
-        - "epi_pa": Nifti EPI image (posterior to anterior)
-        - "freesurfer": Freesurfer structural files
-        - "t1w": T1W Nifti file
-        """
-        return self._s3_keys
-
-    @property
-    def files(self):
-        """Local files for this subject's dMRI data
-
-        Before the call to subject.download(), this is None.
-        Afterward, the files are stored in a dict with keys
-        for each imaging session. The value for each session
-        is itself a dict with the following keys:
-        - "dwi": Nifti file for DWI image
-        - "bval": Bval file
-        - "bvec": Bvec file
-        - "epi_ap": Nifti EPI image (anterior to posterior)
-        - "epi_pa": Nifti EPI image (posterior to anterior)
-        - "freesurfer": Freesurfer structural files
-        - "t1w": T1W Nifti file
-        """
-        return self._files
-
-    def __repr__(self):
-        return (f"{type(self).__name__}(subject_id={self.subject_id}, "
-                f"study_id={self.study.study_id}, site={self.site}, "
-                f"valid={self.valid})")
-
-    def _list_s3_keys(self):
-        """Get all required S3 keys for this subject
-
-        Returns
-        -------
-        s3_keys : dict
-            S3 keys organized into "raw" and "deriv" lists
-        """
-        prefixes = {
-            'raw': '/'.join([self.study.s3_prefix,
-                             self.site,
-                             self.subject_id]),
-            'deriv': '/'.join([self.study.s3_prefix,
-                               self.site,
-                               'derivatives',
-                               self.subject_id]),
-        }
-
-        s3_keys = {
-            rd: list(_get_matching_s3_keys(
-                bucket=self.study.bucket,
-                prefix=prefix,
-            )) for rd, prefix in prefixes.items()
-        }
-
-        return s3_keys
-
-    def _organize_s3_keys(self):
-        """Organize S3 keys into a dict
-
-        The dict keys are "dwi," "bvec," "bval," "epi_nii," "epi_json,"
-        "freesurfer," "t1w" and the values are the associated S3 object keys
-        """
-        # Retrieve and unpack the s3_keys
-        s3_keys = self._list_s3_keys()
-        dwi_keys = [k for k in s3_keys['raw'] if '/dwi/' in k]
-        fmap_keys = [k for k in s3_keys['raw'] if '/fmap/' in k]
-        deriv_keys = s3_keys['deriv']
-        all_json_keys = [k for k in s3_keys['raw'] if k.endswith('.json')]
-
-        # Get the dwi files, bvec files, and bval files
-        dwi = [f for f in dwi_keys
-               if f.endswith('.nii.gz') and 'TRACEW' not in f]
-        bvec = [f for f in dwi_keys if f.endswith('.bvec')]
-        bval = [f for f in dwi_keys if f.endswith('.bval')]
-        epi_nii = [f for f in fmap_keys if f.endswith('epi.nii.gz')
-                   and 'fMRI' not in f]
-        epi_json = [f for f in fmap_keys if f.endswith('epi.json')
-                    and 'fMRI' not in f]
-        t1w = [f for f in deriv_keys if f.endswith('/T1w.nii.gz')]
-        freesurfer = [f for f in deriv_keys
-                      if '/freesurfer/' in f]
-
-        json_keys = []
-        for file_list in [dwi, bvec, bval, epi_nii, t1w]:
-            for f in file_list:
-                potential_keys = _cumulative_paths(_recursive_split_ext(f),
-                                                   add_ext="json")
-                json_keys += [k for k in potential_keys if k in all_json_keys]
-
-        # Use truthiness of non-empty lists to verify that all
-        # of the required prereq files exist in `s3_keys`
-        # TODO: If some of the files are missing, look farther up in the directory
-        # TODO: structure to see if there are files we should inherit
-        if all([dwi, bval, bvec, epi_nii, epi_json, t1w, freesurfer]):
-            self._valid = True
-            self._s3_keys = dict(
-                dwi=dwi,
-                bvec=bvec,
-                bval=bval,
-                json=json_keys,
-                epi_nii=epi_nii,
-                epi_json=epi_json,
-                freesurfer=freesurfer,
-                t1w=t1w,
-            )
-        else:
-            self._valid = False
-            self._s3_keys = None
-
-    def download(self, directory, include_site=False,
-                 overwrite=False, pbar=True, pbar_idx=0):
-        """Download files from S3
-
-        Parameters
-        ----------
-        directory : str
-            Directory to which to download subject files
-
-        include_site : bool, default=False
-            If True, include the site-ID in the download path
-
-        overwrite : bool, default=False
-            If True, overwrite files for each subject
-
-        pbar : bool, default=True
-            If True, include download progress bar
-
-        pbar_idx : int, default=0
-            Progress bar index for multithreaded progress bars
-        """
-        if not self.valid:
-            mod_logger.warning(
-                f"Subject {self.subject_id} is not a valid subject. "
-                f"Skipping download."
-            )
-            return
-
-        if include_site:
-            directory = op.join(directory, self.site)
-
-        files = {
-            k: [op.abspath(op.join(
-                directory, p.split('/' + self.site + '/')[-1]
-            )) for p in v] for k, v in self.s3_keys.items()
-        }
-
-        # Generate list of (key, file) tuples
-        key_file_pairs = []
-
-        for ftype in self.s3_keys.keys():
-            s3_keys = self.s3_keys[ftype]
-            if isinstance(s3_keys, str):
-                key_file_pairs.append((s3_keys, files[ftype]))
-            elif all(isinstance(x, str) for x in s3_keys):
-                for key, fname in zip(s3_keys, files[ftype]):
-                    key_file_pairs.append((key, fname))
-            else:
-                raise TypeError(
-                    f"This subject {self.subject_id} has {ftype} S3 keys that "
-                    f"are neither strings nor a sequence of strings. The "
-                    f"offending S3 keys are {s3_keys!s}"
-                )
-
-        try:
-            files_by_session = self._separate_sessions(files)
-            self._files = files_by_session
-        except NotImplementedError:
-            self._valid = False
-            mod_logger.warning(
-                f"Subject {self.subject_id} has inconsistent session numbers."
-                f"Skipping download."
-            )
-            return
-
-        if not files_by_session.keys():
-            # There were no valid sessions
-            self._valid = False
-            mod_logger.warning(
-                f"Subject {self.subject_id} is not a valid subject. "
-                f"Skipping download."
-            )
-            return
-
-        # Now iterate through the list and download each item
-        if pbar:
-            progress = tqdm(desc=f"Download {self.subject_id}",
-                            position=pbar_idx,
-                            total=len(key_file_pairs) + 1)
-
-        for (key, fname) in key_file_pairs:
-            _download_from_s3(fname=fname,
-                              bucket=self.study.bucket,
-                              key=key,
-                              overwrite=overwrite)
-
-            if pbar:
-                progress.update()
-
-        if pbar:
-            progress.set_description(f"Postproc {self.subject_id}")
-
-        self.study.postprocess(subject=self)
-
-        if pbar:
-            progress.update()
-            progress.close()
-
-    def _determine_directions(self,
-                              input_files,
-                              input_type='s3',
-                              metadata_source='json',
-                              json_key='PhaseEncodingDirection',
-                              ap_value='j-', pa_value='j'):
-        """Determine direction ['AP', 'PA'] of single subject's EPI nifty files
-
-        Use either metadata in associated json file or filename
-
-        Parameters
-        ----------
-        input_files : dict
-            The local input files for the subject
-
-        input_type : "s3" or "local", default="s3"
-            The location of the input files, local or on S3
-
-        metadata_source : "json" or "filename", default="json"
-            If "filename," look for the direction in the filename,
-            otherwise, use the json file and the other parameters
-
-        json_key : string, default="PhaseEncodingDirection"
-            The key that stores the direction information
-
-        ap_value : string, default="j-"
-            Metadata value to associate with dir-AP
-
-        pa_value : string, default="j"
-            Metadata value to associate with dir-PA
-
-        Returns
-        -------
-        dict
-            Filenames or S3 keys where all fields match self.files or
-            self.s3_keys except that in the "epi_nii" and "epi_json" keys
-            have been replaced with "epi_ap" and "epi_pa."
-        """
-        if metadata_source not in ['filename', 'json']:
-            raise ValueError('metadata_source must be "filename" or "json".')
-
-        if input_type not in ['s3', 'local']:
-            raise ValueError('input_type must be "local" or "s3".')
-
-        epi_files = input_files['epi_nii']
-        json_files = input_files['epi_json']
-        if metadata_source == 'filename':
-            ap_files = [f for f in epi_files if 'dir-AP' in f]
-            pa_files = [f for f in epi_files if 'dir-PA' in f]
-        else:
-            # Confirm that each nifty file has a corresponding json file.
-            required_json = set([f.replace('.nii.gz', '.json') for f in epi_files])
-            if set(json_files) != required_json:
-                self._valid = False
-                mod_logger.warning(
-                    f'Subject {self.subject_id} does not have json files '
-                    f'corresponding to its fmap NIFTI files. Failed to '
-                    f'find the following expected files: '
-                    f'{required_json - set(json_files)}. Subject deemed '
-                    f'invalid.'
-                )
-                return input_files
-
-            def get_json(json_file):
-                if input_type == 'local':
-                    with open(json_file, 'r') as fp:
-                        meta = json.load(fp)
-                else:
-                    s3 = get_s3_client()
-                    response = s3.get_object(
-                        Bucket=self.study.bucket,
-                        Key=json_file,
-                    )
-                    meta = json.loads(response.get('Body').read())
-
-                return meta
-
-            ap_files = []
-            pa_files = []
-            for jfile in json_files:
-                metadata = get_json(jfile)
-
-                direction = metadata.get(json_key)
-                if direction == ap_value:
-                    if 'dir-PA' in jfile:
-                        mod_logger.warning(
-                            'The key {key:s}={val:s} does not match the direction '
-                            'suggested by the filename {fn:s}'.format(
-                                key=json_key, val=direction, fn=jfile
-                            )
-                        )
-                    ap_files.append(jfile.replace('.json', '.nii.gz'))
-                elif direction == pa_value:
-                    if 'dir-AP' in jfile:
-                        mod_logger.warning(
-                            'The key {key:s}={val:s} does not match the direction '
-                            'suggested by the filename {fn:s}'.format(
-                                key=json_key, val=direction, fn=jfile
-                            )
-                        )
-                    pa_files.append(jfile.replace('.json', '.nii.gz'))
-                elif direction is None:
-                    mod_logger.warning(
-                        'The key {key:s} does not exist in file {jfile:s}. '
-                        'Falling back on filename to determine directionality.'
-                        '\n\n'.format(key=json_key, jfile=jfile)
-                    )
-                    if 'dir-AP' in jfile:
-                        ap_files.append(jfile.replace('.json', '.nii.gz'))
-                    elif 'dir-PA' in jfile:
-                        pa_files.append(jfile.replace('.json', '.nii.gz'))
-                    else:
-                        self._valid = False
-                        mod_logger.warning(
-                            f'Subject {self.subject_id} lacks the expected '
-                            f'{json_key} key in file {jfile} and the '
-                            f'directionality could not be inferred from the '
-                            f'file name. Setting subject validity to False.'
-                        )
-                        return input_files
-                else:
-                    mod_logger.warning(
-                        'The metadata in file {jfile:s} does not match the dir-PA '
-                        'or dir-AP values that you provided. {key:s} = {val:s}. '
-                        'Falling back on filename to determine directionality.\n\n'
-                        ''.format(jfile=jfile, key=json_key, val=direction)
-                    )
-                    if 'dir-AP' in jfile:
-                        ap_files.append(jfile.replace('.json', '.nii.gz'))
-                    elif 'dir-PA' in jfile:
-                        pa_files.append(jfile.replace('.json', '.nii.gz'))
-                    else:
-                        self._valid = False
-                        mod_logger.warning(
-                            'The metadata for key {key:s} in file {jfile:s} does '
-                            'not match the dir-PA or dir-AP values that you '
-                            'provided. {key:s} = {val:s}. And the directionality '
-                            'could not be inferred from the file name.'.format(
-                                key=json_key,
-                                jfile=jfile,
-                                val=direction,
-                            ))
-                        return input_files
-
-        files = copy.deepcopy(input_files)
-        del files['epi_nii']
-        del files['epi_json']
-        files['epi_ap'] = ap_files
-        files['epi_pa'] = pa_files
-
-        return files
-
-    def _separate_sessions(self, input_files, multiples_policy='sessions',
-                           assign_empty_sessions=True):
-        """Separate input file register into different sessions
-
-        Parameters
-        ----------
-        input_files : dict
-            Dictionary of subject files
-
-        multiples_policy : "sessions" or "concatenate"
-            Flag that dictates how to handle multiple files in a session.
-            If "sessions," treat multiples as different sessions and assign
-            to new session IDs. If "concatenate," concatenate multiples into
-            a single session
-
-        assign_empty_sessions : bool
-            If True, assign session IDs to files without a session ID in
-            their path
-
-        Returns
-        -------
-        dict of dicts
-            Dict of Dicts of file names
-        """
-        if multiples_policy not in ['sessions', 'concatenate']:
-            raise ValueError('`multiples_policy` must be either "sessions" or '
-                             '"concatenate"')
-
-        # Take only the first of the T1W nifty files
-        if len(input_files['t1w']) > 1:
-            mod_logger.warning(
-                f"Found more than one T1W file for subject {self.subject_id} "
-                f"at site {self.site}. Discarding the others.\n\n"
-            )
-
-        t1w = input_files['t1w']
-
-        # Take only the first freesurfer directory
-        freesurfer_dirs = {
-            f.split('/freesurfer/')[0] for f in input_files['freesurfer']
-        }
-
-        if len(freesurfer_dirs) > 1:
-            mod_logger.warning(
-                f"Found more than one freesurfer directory for subject "
-                f"{self.subject_id} at site {self.site}. Discarding the "
-                f"others.\n\n"
-            )
-
-        freesurfer_dir = freesurfer_dirs.pop()
-        freesurfer = [f for f in input_files['freesurfer']
-                      if f.startswith(freesurfer_dir)]
-
-        # Organize the files by session ID
-        def get_sess_id(filename, fallback='null'):
-            # Retrieve the session ID from a filename
-            match = re.search('/ses-[0-9a-zA-Z]*/', filename)
-            if match is not None:
-                return match.group().strip('/')
-            else:
-                return fallback
-
-        ftypes = ['dwi', 'bvec', 'bval', 'epi_ap', 'epi_pa']
-
-        sess_ids = {ft: {get_sess_id(fn) for fn in input_files[ft]}
-                    for ft in ftypes}
-
-        if not all([s == list(sess_ids.values())[0]
-                    for s in sess_ids.values()]):
-            mod_logger.warning(
-                "Session numbers are inconsistent for subject {sub:s} at site "
-                "{site:s}. Ses-IDs: {sess_ids!s}.\n"
-                "Files: {files!s}\n\n".format(
-                    sub=self.subject_id,
-                    site=self.site,
-                    sess_ids=sess_ids,
-                    files={
-                        k: (v) for k, v in input_files.items()
-                        if k in ['dwi', 'bvec', 'bval', 'epi_ap', 'epi_pa']
-                    },
-                )
-            )
-            return
-
-        # We just confirmed that all of the session ID sets are equal so we can
-        # pop one set of session IDs off of `sess_ids` and use it from now on
-        sess_ids = sess_ids[ftypes[0]]
-
-        # Collect files by session ID and then file type
-        files_by_session = {
-            sess: {
-                ft: [
-                    f for f in input_files[ft] if get_sess_id(f) == sess
-                ]
-                for ft in ftypes
-            }
-            for sess in sess_ids
-        }
-
-        output_files = {}
-
-        # Loop over each session ID
-        for session, files in files_by_session.items():
-            # Confirm that the subject has an equal number of each type of file
-            n_files = {k: len(v) for k, v in files.items()
-                       if k in ['dwi', 'bvec', 'bval', 'epi_ap', 'epi_pa']}
-
-            if len(set(n_files.values())) != 1:
-                mod_logger.warning(
-                    f"The number of files is inconsistent for subject "
-                    f"{self.subject_id} at site {self.site}. The file numbers "
-                    f"are {n_files!s}\n\n"
-                )
-            elif len(set(n_files.values())) == 1:
-                # There is only one set of files in this session.
-                # Append to output.
-                if session == 'null':
-                    output_session = 'ses-01' if assign_empty_sessions else None
-                else:
-                    output_session = session
-
-                output_files[output_session] = dict(
-                    dwi=input_files['dwi'],
-                    bvec=input_files['bvec'],
-                    bval=input_files['bval'],
-                    epi_ap=input_files['epi_ap'],
-                    epi_pa=input_files['epi_pa'],
-                    json=input_files['json'],
-                    t1w=t1w,
-                    freesurfer=freesurfer,
-                )
-            else:
-                # There are multiple copies of files for this one session ID.
-                if multiples_policy == 'concatenate':
-                    # The multiple copies represent one session and should be
-                    # concatenated
-                    raise NotImplementedError("Concatenation of multiples not "
-                                              "yet implemented.")
-                else:
-                    # The multiple copies represent multiple sessions and
-                    # should be further subdivided into sessions
-                    raise NotImplementedError("Session subdivision not yet "
-                                              "implemented.")
-
-        return output_files
diff --git a/dmriprep/workflows/_afq/dmriprep.py b/dmriprep/workflows/_afq/dmriprep.py
deleted file mode 100644
index 47911d9e..00000000
--- a/dmriprep/workflows/_afq/dmriprep.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""Main module."""
-
-import logging
-import os
-import os.path as op
-import subprocess
-
-from .run import run_dmriprep
-
-
-mod_logger = logging.getLogger(__name__)
diff --git a/dmriprep/workflows/_afq/io.py b/dmriprep/workflows/_afq/io.py
deleted file mode 100644
index a1543873..00000000
--- a/dmriprep/workflows/_afq/io.py
+++ /dev/null
@@ -1,84 +0,0 @@
-"""
-BIDS-functions to return inputs for the run.py functions.
-
-"""
-import os
-import os.path as op
-from glob import glob
-
-import bids
-
-
-def get_bids_subject_input_files(subject_id, bids_input_directory):
-    """
-    Function to return the needed files for dmriprep based on subject id and a bids directory.
-
-    :param subject_id: string
-    :param bids_input_directory: string to bids dir
-    :return: dict of inputs
-    """
-    layout = bids.layout.BIDSLayout(bids_input_directory, validate=False)
-    subjects = layout.get_subjects()
-    assert subject_id in subjects, "subject {} is not in the bids folder".format(subject_id)
-
-    ap_file = layout.get(subject=subject_id,
-                         datatype='fmap',
-                         suffix='epi',
-                         dir='AP',
-                         extensions=['.nii', '.nii.gz'])
-    assert len(ap_file) == 1, 'found {} ap fieldmap files and we need just 1'.format(len(ap_file))
-
-    pa_file = layout.get(subject=subject_id,
-                         datatype='fmap',
-                         suffix='epi',
-                         dir='PA',
-                         extensions=['.nii', '.nii.gz'])
-    assert len(pa_file) == 1, 'found {} pa fieldmap files and we need just 1'.format(len(pa_file))
-
-    dwi_files = layout.get(subject=subject_id, datatype='dwi', suffix='dwi')
-    valid_dwi_files = []
-
-    for d in dwi_files:
-        if d.path.startswith(op.abspath(op.join(bids_input_directory, 'sub-' + subject_id))):
-            valid_dwi_files.append(d.path)
-
-    dwi_file = [d for d in valid_dwi_files if d.endswith('.nii.gz') and not "TRACE" in d]
-    assert len(dwi_file) == 1, 'found {} dwi files and we need just 1'.format(len(dwi_file))
-
-    bval_file = [d.path for d in dwi_files if d.filename.endswith('.bval')]
-    assert len(bval_file) == 1, 'found {} bval files and we need just 1'.format(len(bval_file))
-
-    bvec_file = [d.path for d in dwi_files if d.filename.endswith('.bvec')]
-    assert len(bvec_file) == 1, 'found {} bvec files and we need just 1'.format(len(bvec_file))
-
-    subjects_dir = op.join(bids_input_directory, 'derivatives', 'sub-'+subject_id)
-
-    if not op.exists(op.join(subjects_dir, 'freesurfer')):
-        raise NotImplementedError('we have not yet implemented a version of dmriprep that runs freesurfer for you.'
-                                  'please run freesurfer and try again'
-                                  )
-
-    outputs = dict(subject_id="sub-"+subject_id,
-                   dwi_file=dwi_file[0],
-                   dwi_file_AP=ap_file[0].path,
-                   dwi_file_PA=pa_file[0].path,
-                   bvec_file=bvec_file[0],
-                   bval_file=bval_file[0],
-                   subjects_dir=op.abspath(subjects_dir))
-    return outputs
-
-
-def get_bids_files(subject_id, bids_input_directory):
-    """
-    subject to get all bids files for am optional subject id and bids dir. if subject id is blank then all subjects
-    are used.
-    :param subject_id:
-    :param bids_input_directory:
-    :return:
-    """
-    if not subject_id:
-        subjects = [s.split("/")[-1].replace("sub-", "") for s in glob(os.path.join(bids_input_directory, "sub-*"))]
-        assert len(subjects), "No subject files found in bids directory"
-        return [get_bids_subject_input_files(sub, bids_input_directory) for sub in subjects]
-    else:
-        return [get_bids_subject_input_files(subject_id, bids_input_directory)]
diff --git a/dmriprep/workflows/_afq/qc.py b/dmriprep/workflows/_afq/qc.py
deleted file mode 100644
index be3a91a9..00000000
--- a/dmriprep/workflows/_afq/qc.py
+++ /dev/null
@@ -1,254 +0,0 @@
-import base64
-import os.path as op
-from io import BytesIO
-
-import matplotlib
-
-matplotlib.use("agg")
-import matplotlib.pyplot as plt
-import nibabel as nib
-import numpy as np
-
-from dipy.segment.mask import median_otsu
-from nipype.utils.filemanip import save_json, load_json
-
-
-def reorient_array(data, aff):
-    # rearrange the matrix to RAS orientation
-    orientation = nib.orientations.io_orientation(aff)
-    data_RAS = nib.orientations.apply_orientation(data, orientation)
-    # In RAS
-    return nib.orientations.apply_orientation(
-        data_RAS, nib.orientations.axcodes2ornt("IPL")
-    )
-
-
-def mplfig(data, outfile=None, as_bytes=False):
-    fig = plt.figure(frameon=False, dpi=data.shape[0])
-    fig.set_size_inches(float(data.shape[1]) / data.shape[0], 1)
-    ax = plt.Axes(fig, [0.0, 0.0, 1.0, 1.0])
-    ax.set_axis_off()
-    fig.add_axes(ax)
-    ax.imshow(data, aspect=1, cmap=plt.cm.Greys_r)  # previous aspect="normal"
-    if outfile:
-        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
-        plt.close()
-        return outfile
-    if as_bytes:
-        IObytes = BytesIO()
-        plt.savefig(IObytes, format="png", dpi=data.shape[0], transparent=True)
-        IObytes.seek(0)
-        base64_jpgData = base64.b64encode(IObytes.read())
-        return base64_jpgData.decode("ascii")
-
-
-def mplfigcontour(data, outfile=None, as_bytes=False):
-    fig = plt.figure(frameon=False)
-    fig.set_size_inches(float(data.shape[1]) / data.shape[0], 1)
-    ax = plt.Axes(fig, [0.0, 0.0, 1.0, 1.0])
-    ax.set_axis_off()
-    fig.add_axes(ax)
-
-    bg = np.zeros(data.shape)
-    bg[:] = np.nan
-    ax.imshow(bg, aspect=1, cmap=plt.cm.Greys_r)  # used to be aspect="normal"
-    ax.contour(data, colors="red", linewidths=0.1)
-    if outfile:
-        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
-        plt.close()
-        return outfile
-    if as_bytes:
-        IObytes = BytesIO()
-        plt.savefig(IObytes, format="png", dpi=data.shape[0], transparent=True)
-        IObytes.seek(0)
-        base64_jpgData = base64.b64encode(IObytes.read())
-        return base64_jpgData.decode("ascii")
-
-
-def load_and_reorient(filename):
-    img = nib.load(filename)
-    data, aff = img.get_data(), img.affine
-    data = reorient_array(data, aff)
-    return data
-
-
-def reshape3D(data, n=256):
-    return np.pad(
-        data,
-        (
-            (
-                (n - data.shape[0]) // 2,
-                ((n - data.shape[0]) + (data.shape[0] % 2 > 0)) // 2,
-            ),
-            (
-                (n - data.shape[1]) // 2,
-                ((n - data.shape[1]) + (data.shape[1] % 2 > 0)) // 2,
-            ),
-            (0, 0),
-        ),
-        "constant",
-        constant_values=(0, 0),
-    )
-
-
-def reshape4D(data, n=256):
-    return np.pad(
-        data,
-        (
-            (
-                (n - data.shape[0]) // 2,
-                ((n - data.shape[0]) + (data.shape[0] % 2 > 0)) // 2,
-            ),
-            (
-                (n - data.shape[1]) // 2,
-                ((n - data.shape[1]) + (data.shape[1] % 2 > 0)) // 2,
-            ),
-            (0, 0),
-            (0, 0),
-        ),
-        "constant",
-        constant_values=(0, 0),
-    )
-
-
-def get_middle_slices(data, slice_direction):
-    slicer = {"ax": 0, "cor": 1, "sag": 2}
-    all_data_slicer = [slice(None), slice(None), slice(None)]
-    num_slices = data.shape[slicer[slice_direction]]
-    slice_num = int(num_slices / 2)
-    all_data_slicer[slicer[slice_direction]] = slice_num
-    tile = data[tuple(all_data_slicer)]
-
-    # make it a square
-    N = max(tile.shape[:2])
-    tile = reshape3D(tile, N)
-
-    return tile
-
-
-def nearest_square(limit):
-    answer = 0
-    while (answer + 1) ** 2 < limit:
-        answer += 1
-    if (answer ** 2) == limit:
-        return answer
-    else:
-        return answer + 1
-
-
-def create_sprite_from_tiles(tile, out_file=None, as_bytes=False):
-    num_slices = tile.shape[-1]
-    N = nearest_square(num_slices)
-    M = int(np.ceil(num_slices / N))
-    # tile is square, so just make a big arr
-    pix = tile.shape[0]
-
-    if len(tile.shape) == 3:
-        mosaic = np.zeros((N * tile.shape[0], M * tile.shape[0]))
-    else:
-        mosaic = np.zeros((N * tile.shape[0], M * tile.shape[0], tile.shape[-2]))
-
-    mosaic[:] = np.nan
-    helper = np.arange(N * M).reshape((N, M))
-
-    for t in range(num_slices):
-        x, y = np.nonzero(helper == t)
-        xmin = x[0] * pix
-        xmax = (x[0] + 1) * pix
-        ymin = y[0] * pix
-        ymax = (y[0] + 1) * pix
-
-        if len(tile.shape) == 3:
-            mosaic[xmin:xmax, ymin:ymax] = tile[:, :, t]
-        else:
-            mosaic[xmin:xmax, ymin:ymax, :] = tile[:, :, :, t]
-
-    if as_bytes:
-        img = mplfig(mosaic, out_file, as_bytes=as_bytes)
-        return dict(img=img, N=N, M=M, pix=pix, num_slices=num_slices)
-
-    if out_file:
-        img = mplfig(mosaic, out_file), N, M, pix, num_slices
-
-    return dict(mosaic=mosaic, N=N, M=M, pix=pix, num_slices=num_slices)
-
-
-def createSprite4D(dwi_file):
-
-    # initialize output dict
-    output = []
-
-    # load the file
-    dwi = load_and_reorient(dwi_file)[:, :, :, 1:]
-
-    # create tiles from center slice on each orientation
-    for orient in ["sag", "ax", "cor"]:
-        tile = get_middle_slices(dwi, orient)
-
-        # create sprite images for each
-        results = create_sprite_from_tiles(tile, as_bytes=True)
-        results["img_type"] = "4dsprite"
-        results["orientation"] = orient
-        output.append(results)
-
-    return output
-
-
-def createB0_ColorFA_Mask_Sprites(b0_file, colorFA_file, mask_file):
-    colorfa = load_and_reorient(colorFA_file)
-    b0 = load_and_reorient(b0_file)[:, :, :, 0]
-    anat_mask = load_and_reorient(mask_file)
-
-    N = max(*b0.shape[:2])
-
-    # make a b0 sprite
-    b0 = reshape3D(b0, N)
-    _, mask = median_otsu(b0)
-    outb0 = create_sprite_from_tiles(b0, as_bytes=True)
-    outb0["img_type"] = "brainsprite"
-
-    # make a colorFA sprite, masked by b0
-    Q = reshape4D(colorfa, N)
-    Q[np.logical_not(mask)] = np.nan
-    Q = np.moveaxis(Q, -2, -1)
-    outcolorFA = create_sprite_from_tiles(Q, as_bytes=True)
-    outcolorFA["img_type"] = "brainsprite"
-
-    # make an anat mask contour sprite
-    outmask = create_sprite_from_tiles(reshape3D(anat_mask, N))
-    img = mplfigcontour(outmask.pop("mosaic"), as_bytes=True)
-    outmask["img"] = img
-
-    return outb0, outcolorFA, outmask
-
-
-def create_report_json(
-    dwi_corrected_file,
-    eddy_rms,
-    eddy_report,
-    color_fa_file,
-    anat_mask_file,
-    outlier_indices,
-    eddy_qc_file,
-    outpath=op.abspath("./report.json"),
-):
-
-    report = {}
-    report["dwi_corrected"] = createSprite4D(dwi_corrected_file)
-
-    b0, colorFA, mask = createB0_ColorFA_Mask_Sprites(
-        dwi_corrected_file, color_fa_file, anat_mask_file
-    )
-    report["b0"] = b0
-    report["colorFA"] = colorFA
-    report["anat_mask"] = mask
-    report["outlier_volumes"] = outlier_indices.tolist()
-
-    with open(eddy_report, "r") as f:
-        report["eddy_report"] = f.readlines()
-
-    report["eddy_params"] = np.genfromtxt(eddy_rms).tolist()
-    eddy_qc = load_json(eddy_qc_file)
-    report["eddy_quad"] = eddy_qc
-    save_json(outpath, report)
-    return outpath
diff --git a/dmriprep/workflows/_afq/run.py b/dmriprep/workflows/_afq/run.py
deleted file mode 100644
index 9ac70d8b..00000000
--- a/dmriprep/workflows/_afq/run.py
+++ /dev/null
@@ -1,855 +0,0 @@
-import os
-import os.path as op
-from shutil import copyfile
-
-
-def run_dmriprep(dwi_file, bvec_file, bval_file,
-                 subjects_dir, working_dir, out_dir):
-
-    """
-    Runs dmriprep for acquisitions with just one PE direction.
-
-    """
-    from glob import glob
-    import nibabel as nib
-    import nipype.interfaces.freesurfer as fs
-    import nipype.interfaces.fsl as fsl
-    import nipype.interfaces.io as nio
-    import nipype.interfaces.utility as niu
-    import nipype.pipeline.engine as pe
-    import numpy as np
-    from nipype.algorithms.rapidart import ArtifactDetect
-    from nipype.interfaces.dipy import DTI
-    from nipype.interfaces.fsl.utils import AvScale
-    from nipype.utils.filemanip import fname_presuffix
-    from nipype.workflows.dmri.fsl.epi import create_dmri_preprocessing
-
-    wf = create_dmri_preprocessing(name='dmriprep',
-                                   use_fieldmap=False,
-                                   fieldmap_registration=False)
-    wf.inputs.inputnode.ref_num = 0
-    wf.inputs.inputnode.in_file = dwi_file
-    wf.inputs.inputnode.in_bvec = bvec_file
-
-    dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
-    bids_sub_name = dwi_fname.split("_")[0]
-    assert bids_sub_name.startswith("sub-")
-
-    # inputnode = wf.get_node("inputnode")
-    outputspec = wf.get_node("outputnode")
-
-    # QC: FLIRT translation and rotation parameters
-    flirt = wf.get_node("motion_correct.coregistration")
-    # flirt.inputs.save_mats = True
-
-    get_tensor = pe.Node(DTI(), name="dipy_tensor")
-    wf.connect(outputspec, "dmri_corrected", get_tensor, "in_file")
-    # wf.connect(inputspec2,"bvals", get_tensor, "in_bval")
-    get_tensor.inputs.in_bval = bval_file
-    wf.connect(outputspec, "bvec_rotated", get_tensor, "in_bvec")
-
-    scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
-    scale_tensor.inputs.operation = 'mul'
-    scale_tensor.inputs.operand_value = 1000
-    wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-    wf.connect(outputspec, "dmri_corrected", fslroi, "in_file")
-
-    bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="fsl",
-                                  out_fsl_file=True, subjects_dir=subjects_dir,
-                                  epi_mask=True), name="bbreg")
-    # wf.connect(inputspec2,"fsid", bbreg,"subject_id")
-    bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
-    wf.connect(fslroi, "roi_file", bbreg, "source_file")
-
-    voltransform = pe.Node(fs.ApplyVolTransform(inverse=True),
-                           iterfield=['source_file', 'reg_file'],
-                           name='transform')
-    voltransform.inputs.subjects_dir = subjects_dir
-
-    vt2 = voltransform.clone("transform_aparcaseg")
-    vt2.inputs.interp = "nearest"
-
-    def binarize_aparc(aparc_aseg):
-        img = nib.load(aparc_aseg)
-        data, aff = img.get_data(), img.affine
-        outfile = fname_presuffix(
-            aparc_aseg, suffix="bin.nii.gz",
-            newpath=op.abspath("."), use_ext=False
-        )
-        nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
-        return outfile
-
-    # wf.connect(inputspec2, "mask_nii", voltransform, "target_file")
-    create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
-                                       output_names=["outfile"],
-                                       function=binarize_aparc),
-                          name="bin_aparc")
-
-    def get_aparc_aseg(subjects_dir, sub):
-        return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
-
-    create_mask.inputs.aparc_aseg = get_aparc_aseg(subjects_dir, 'freesurfer')
-    wf.connect(create_mask, "outfile", voltransform, "target_file")
-
-    wf.connect(fslroi, "roi_file", voltransform, "source_file")
-    wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
-
-    vt2.inputs.target_file = get_aparc_aseg(subjects_dir, 'freesurfer')
-    # wf.connect(inputspec2, "aparc_aseg", vt2, "target_file")
-    wf.connect(fslroi, "roi_file", vt2, "source_file")
-    wf.connect(bbreg, "out_reg_file", vt2, "reg_file")
-
-    # AK (2017): THIS NODE MIGHT NOT BE NECESSARY
-    # AK (2018) doesn't know why she said that above..
-    threshold2 = pe.Node(fs.Binarize(min=0.5, out_type='nii.gz', dilate=1),
-                         iterfield=['in_file'],
-                         name='threshold2')
-    wf.connect(voltransform, "transformed_file", threshold2, "in_file")
-
-    # wf.connect(getmotion, "motion_params", datasink, "dti.@motparams")
-
-    def get_flirt_motion_parameters(flirt_out_mats):
-        def get_params(A):
-            """This is a copy of spm's spm_imatrix where
-            we already know the rotations and translations matrix,
-            shears and zooms (as outputs from fsl FLIRT/avscale)
-            Let A = the 4x4 rotation and translation matrix
-            R = [          c5*c6,           c5*s6, s5]
-                [-s4*s5*c6-c4*s6, -s4*s5*s6+c4*c6, s4*c5]
-                [-c4*s5*c6+s4*s6, -c4*s5*s6-s4*c6, c4*c5]
-            """
-            def rang(b):
-                a = min(max(b, -1), 1)
-                return a
-            Ry = np.arcsin(A[0, 2])
-            # Rx = np.arcsin(A[1, 2] / np.cos(Ry))
-            # Rz = np.arccos(A[0, 1] / np.sin(Ry))
-
-            if (abs(Ry)-np.pi/2)**2 < 1e-9:
-                Rx = 0
-                Rz = np.arctan2(-rang(A[1, 0]), rang(-A[2, 0]/A[0, 2]))
-            else:
-                c = np.cos(Ry)
-                Rx = np.arctan2(rang(A[1, 2]/c), rang(A[2, 2]/c))
-                Rz = np.arctan2(rang(A[0, 1]/c), rang(A[0, 0]/c))
-
-            rotations = [Rx, Ry, Rz]
-            translations = [A[0, 3], A[1, 3], A[2, 3]]
-
-            return rotations, translations
-
-        motion_params = open(op.abspath('motion_parameters.par'), 'w')
-        for mat in flirt_out_mats:
-            res = AvScale(mat_file=mat).run()
-            A = np.asarray(res.outputs.rotation_translation_matrix)
-            rotations, translations = get_params(A)
-            for i in rotations+translations:
-                motion_params.write('%f ' % i)
-            motion_params.write('\n')
-        motion_params.close()
-        motion_params = op.abspath('motion_parameters.par')
-        return motion_params
-
-    getmotion = pe.Node(
-        niu.Function(input_names=["flirt_out_mats"],
-                     output_names=["motion_params"],
-                     function=get_flirt_motion_parameters),
-        name="get_motion_parameters",
-        iterfield="flirt_out_mats"
-    )
-
-    wf.connect(flirt, "out_matrix_file", getmotion, "flirt_out_mats")
-
-    art = pe.Node(interface=ArtifactDetect(), name="art")
-    art.inputs.use_differences = [True, True]
-    art.inputs.save_plot = False
-    art.inputs.use_norm = True
-    art.inputs.norm_threshold = 3
-    art.inputs.zintensity_threshold = 9
-    art.inputs.mask_type = 'spm_global'
-    art.inputs.parameter_source = 'FSL'
-
-    wf.connect(getmotion, "motion_params", art, "realignment_parameters")
-    wf.connect(outputspec, "dmri_corrected", art, "realigned_files")
-
-    datasink = pe.Node(nio.DataSink(), name="sinker")
-    datasink.inputs.base_directory = out_dir
-    datasink.inputs.substitutions = [
-        ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
-        ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
-        ("motion_parameters.par", dwi_fname + ".motion.txt"),
-        ("_rotated.bvec", ".bvec"),
-        ("aparc+aseg_warped_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
-        ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
-        ("vol0000_flirt_merged", dwi_fname),
-        ("_roi_bbreg_freesurfer", "_register"),
-        ("aparc+asegbin_warped_thresh", dwi_fname.replace("_dwi", "_mask")),
-        ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(bids_sub_name))
-    ]
-
-    wf.connect(art, "statistic_files", datasink, "dmriprep.art.@artstat")
-    wf.connect(art, "outlier_files", datasink, "dmriprep.art.@artoutlier")
-    wf.connect(outputspec, "dmri_corrected", datasink, "dmriprep.dwi.@corrected")
-    wf.connect(outputspec, "bvec_rotated", datasink, "dmriprep.dwi.@rotated")
-    wf.connect(getmotion, "motion_params", datasink, "dmriprep.art.@motion")
-
-    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
-    wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
-    wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
-    wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
-    wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
-    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
-
-    wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
-    wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
-    wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
-    wf.connect(threshold2, "binary_file", datasink, "dmriprep.anat.@mask")
-    # wf.connect(vt2, "transformed_file", datasink, "dwi.@aparc_aseg")
-
-    convert = pe.Node(fs.MRIConvert(out_type="niigz"), name="convert2nii")
-    wf.connect(vt2, "transformed_file", convert, "in_file")
-    wf.connect(convert, "out_file", datasink, "dmriprep.anat.@aparc_aseg")
-
-    wf.base_dir = working_dir
-    wf.run()
-
-    copyfile(bval_file, op.join(
-        out_dir, bids_sub_name, "dmriprep", "dwi",
-        op.split(bval_file)[1]
-    ))
-
-    dmri_corrected = glob(op.join(out_dir, '*/dmriprep/dwi', '*.nii.gz'))[0]
-    bvec_rotated = glob(op.join(out_dir, '*/dmriprep/dwi', '*.bvec'))[0]
-    bval_file = glob(op.join(out_dir, '*/dmriprep/dwi', '*.bval'))[0]
-    art_file = glob(op.join(out_dir, '*/dmriprep/art', '*.art.json'))[0]
-    motion_file = glob(op.join(out_dir, '*/dmriprep/art', '*.motion.txt'))[0]
-    outlier_file = glob(op.join(out_dir, '*/dmriprep/art', '*.outliers.txt'))[0]
-    return dmri_corrected, bvec_rotated, art_file, motion_file, outlier_file
-
-
-def run_dmriprep_pe(subject_id, dwi_file, dwi_file_AP, dwi_file_PA,
-                    bvec_file, bval_file,
-                    subjects_dir, working_dir, out_dir,
-                    eddy_niter=5, slice_outlier_threshold=0.02):
-    """Run the dmriprep (phase encoded) nipype workflow
-
-    Parameters
-    ----------
-    subject_id : str
-        Subject identifier
-
-    dwi_file : str
-        Path to dwi nifti file
-
-    dwi_file_AP : str
-        Path to EPI nifti file (anterior-posterior)
-
-    dwi_file_PA : str
-        Path to EPI nifti file (posterior-anterior)
-
-    bvec_file : str
-        Path to bvec file
-
-    bval_file : str
-        Path to bval file
-
-    subjects_dir : str
-        Path to subject's freesurfer directory
-
-    working_dir : str
-        Path to workflow working directory
-
-    out_dir : str
-        Path to output directory
-
-    eddy_niter : int, default=5
-        Fixed number of eddy iterations. See
-        https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy/UsersGuide#A--niter
-
-    slice_outlier_threshold: int or float
-        Number of allowed outlier slices per volume. If this is exceeded the
-        volume is dropped from analysis. If `slice_outlier_threshold` is an
-        int, it is treated as number of allowed outlier slices. If
-        `slice_outlier_threshold` is a float between 0 and 1 (exclusive), it is
-        treated the fraction of allowed outlier slices.
-
-    Notes
-    -----
-    This assumes that there are scans with phase-encode directions AP/PA for
-    topup.
-
-    See Also
-    --------
-    dmriprep.run.get_dmriprep_pe_workflow
-    """
-    wf = get_dmriprep_pe_workflow()
-    wf.base_dir = op.join(op.abspath(working_dir), subject_id)
-
-    inputspec = wf.get_node('inputspec')
-    inputspec.inputs.subject_id = subject_id
-    inputspec.inputs.dwi_file = dwi_file
-    inputspec.inputs.dwi_file_ap = dwi_file_AP
-    inputspec.inputs.dwi_file_pa = dwi_file_PA
-    inputspec.inputs.bvec_file = bvec_file
-    inputspec.inputs.bval_file = bval_file
-    inputspec.inputs.subjects_dir = subjects_dir
-    inputspec.inputs.out_dir = op.abspath(out_dir)
-    inputspec.inputs.eddy_niter = eddy_niter
-    inputspec.inputs.slice_outlier_threshold = slice_outlier_threshold
-
-    # write the graph (this is saved to the working dir)
-    wf.write_graph()
-    wf.config['execution']['remove_unnecessary_outputs'] = False
-    wf.config['execution']['keep_inputs'] = True
-    wf.run()
-
-
-def get_dmriprep_pe_workflow():
-    """Return the dmriprep (phase encoded) nipype workflow
-
-    Parameters
-    ----------
-
-
-    Returns
-    -------
-    wf : nipype.pipeline.engine.Workflow
-        Nipype dmriprep workflow
-
-    Notes
-    -----
-    This assumes that there are scans with phase-encode directions AP/PA for
-    topup.
-    """
-    import nipype.interfaces.freesurfer as fs
-    import nipype.interfaces.fsl as fsl
-    import nipype.interfaces.io as nio
-    import nipype.interfaces.utility as niu
-    import nipype.pipeline.engine as pe
-    from nipype.interfaces.dipy import DTI
-    from nipype.workflows.dmri.fsl.artifacts import all_fsl_pipeline
-
-    inputspec = pe.Node(niu.IdentityInterface(fields=[
-        'subject_id',
-        'dwi_file',
-        'dwi_file_ap',
-        'dwi_file_pa',
-        'bvec_file',
-        'bval_file',
-        'subjects_dir',
-        'out_dir',
-        'eddy_niter',
-        'slice_outlier_threshold'
-    ]), name="inputspec")
-
-    # AK: watch out, other datasets might be encoded LR
-    epi_ap = {'echospacing': 66.5e-3, 'enc_dir': 'y-'}
-    epi_pa = {'echospacing': 66.5e-3, 'enc_dir': 'y'}
-    prep = all_fsl_pipeline(epi_params=epi_ap, altepi_params=epi_pa)
-
-    # initialize an overall workflow
-    wf = pe.Workflow(name="dmriprep")
-
-    wf.connect(inputspec, 'dwi_file', prep, 'inputnode.in_file')
-    wf.connect(inputspec, 'bvec_file', prep, 'inputnode.in_bvec')
-    wf.connect(inputspec, 'bval_file', prep, 'inputnode.in_bval')
-    wf.connect(inputspec, 'eddy_niter', prep, 'fsl_eddy.niter')
-
-    eddy = prep.get_node('fsl_eddy')
-    eddy.inputs.repol = True
-    eddy.inputs.cnr_maps = True
-    eddy.inputs.residuals = True
-    import multiprocessing
-    eddy.inputs.num_threads = multiprocessing.cpu_count()
-    import numba.cuda
-    try:
-        if numba.cuda.gpus:
-            eddy.inputs.use_cuda = True
-    except:
-        eddy.inputs.use_cuda = False
-
-    topup = prep.get_node('peb_correction.topup')
-    topup.inputs.checksize = True
-
-    applytopup = prep.get_node('peb_correction.unwarp')
-    applytopup.inputs.checksize = True
-
-    eddy.inputs.checksize = True
-
-    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True, checksize=True), name="eddy_quad")
-    get_path = lambda x: x.split('.nii.gz')[0].split('_fix')[0]
-    get_qc_path = lambda x: x.split('.nii.gz')[0] + '.qc'
-    wf.connect(prep, ('fsl_eddy.out_corrected', get_path), eddy_quad, 'base_name')
-    wf.connect(inputspec, 'bval_file', eddy_quad, 'bval_file')
-    wf.connect(prep, 'Rotate_Bvec.out_file', eddy_quad, 'bvec_file')
-    wf.connect(prep, 'peb_correction.topup.out_field', eddy_quad, 'field')
-    wf.connect(prep, 'gen_index.out_file', eddy_quad, 'idx_file')
-    wf.connect(prep, 'peb_correction.topup.out_enc_file', eddy_quad, 'param_file')
-    wf.connect(prep, ('fsl_eddy.out_corrected', get_qc_path), eddy_quad, 'output_dir')
-
-    # need a mask file for eddy_quad. lets get it from the B0.
-    def get_b0_mask_fn(b0_file):
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        from dipy.segment.mask import median_otsu
-        import os
-
-        mask_file = fname_presuffix(b0_file, suffix="_mask", newpath=os.path.abspath('.'))
-        img = nib.load(b0_file)
-        data, aff = img.get_data(), img.affine
-        _, mask = median_otsu(data, 2, 1)
-        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
-        return mask_file
-
-
-    def id_outliers_fn(outlier_report, threshold, dwi_file):
-        """Get list of scans that exceed threshold for number of outliers
-
-        Parameters
-        ----------
-        outlier_report: string
-            Path to the fsl_eddy outlier report
-
-        threshold: int or float
-            If threshold is an int, it is treated as number of allowed outlier
-            slices. If threshold is a float between 0 and 1 (exclusive), it is
-            treated the fraction of allowed outlier slices before we drop the
-            whole volume.
-
-        dwi_file: string
-            Path to nii dwi file to determine total number of slices
-
-        Returns
-        -------
-        drop_scans: numpy.ndarray
-            List of scan indices to drop
-        """
-        import nibabel as nib
-        import numpy as np
-        import os.path as op
-        import parse
-
-        with open(op.abspath(outlier_report), 'r') as fp:
-            lines = fp.readlines()
-
-        p = parse.compile(
-            "Slice {slice:d} in scan {scan:d} is an outlier with "
-            "mean {mean_sd:f} standard deviations off, and mean "
-            "squared {mean_sq_sd:f} standard deviations off."
-        )
-
-        outliers = [p.parse(l).named for l in lines]
-        scans = {d['scan'] for d in outliers}
-
-        def num_outliers(scan, outliers):
-            return len([d for d in outliers if d['scan'] == scan])
-
-        if 0 < threshold < 1:
-            img = nib.load(dwi_file)
-            try:
-                threshold *= img.header.get_n_slices()
-            except nib.spatialimages.HeaderDataError:
-                print('WARNING. We are not sure which dimension has the '
-                      'slices in this image. So we are using the 3rd dim.', img.shape)
-                threshold *= img.shape[2]
-
-        drop_scans = np.array([
-            s for s in scans
-            if num_outliers(s, outliers) > threshold
-        ])
-
-        outpath = op.abspath("dropped_scans.txt")
-        np.savetxt(outpath, drop_scans, fmt="%d")
-
-        return drop_scans, outpath
-
-    id_outliers_node = pe.Node(niu.Function(
-        input_names=["outlier_report", "threshold", "dwi_file"],
-        output_names=["drop_scans", "outpath"],
-        function=id_outliers_fn),
-        name="id_outliers_node"
-    )
-
-    wf.connect(inputspec, 'dwi_file', id_outliers_node, 'dwi_file')
-    wf.connect(inputspec, 'slice_outlier_threshold', id_outliers_node, 'threshold')
-
-    wf.connect(prep, "fsl_eddy.out_outlier_report",
-               id_outliers_node, "outlier_report")
-
-    list_merge = pe.Node(niu.Merge(numinputs=2), name="list_merge")
-    wf.connect(inputspec, 'dwi_file_ap', list_merge, 'in1')
-    wf.connect(inputspec, 'dwi_file_pa', list_merge, 'in2')
-
-    merge = pe.Node(fsl.Merge(dimension='t'), name="mergeAPPA")
-    wf.connect(merge, 'merged_file', prep, 'inputnode.alt_file')
-    wf.connect(list_merge, 'out', merge, 'in_files')
-
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name="fslroi")
-    wf.connect(prep, "outputnode.out_file", fslroi, "in_file")
-
-    b0mask_node = pe.Node(niu.Function(input_names=['b0_file'],
-                                       output_names=['mask_file'],
-                                       function=get_b0_mask_fn),
-                          name="getB0Mask")
-    wf.connect(fslroi, 'roi_file', b0mask_node, 'b0_file')
-    wf.connect(b0mask_node, 'mask_file', eddy_quad, 'mask_file')
-
-    bbreg = pe.Node(fs.BBRegister(contrast_type="t2", init="coreg",
-                                  out_fsl_file=True,
-                                  # subjects_dir=subjects_dir,
-                                  epi_mask=True),
-                    name="bbreg")
-    bbreg.inputs.subject_id = 'freesurfer'  # bids_sub_name
-    wf.connect(fslroi, "roi_file", bbreg, "source_file")
-    wf.connect(inputspec, 'subjects_dir', bbreg, 'subjects_dir')
-
-    def drop_outliers_fn(in_file, in_bval, in_bvec, drop_scans):
-        """Drop outlier volumes from dwi file
-
-        Parameters
-        ----------
-        in_file: string
-            Path to nii dwi file to drop outlier volumes from
-
-        in_bval: string
-            Path to bval file to drop outlier volumes from
-
-        in_bvec: string
-            Path to bvec file to drop outlier volumes from
-
-        drop_scans: numpy.ndarray
-            List of scan indices to drop
-
-        Returns
-        -------
-        out_file: string
-            Path to "thinned" output dwi file
-
-        out_bval: string
-            Path to "thinned" output bval file
-
-        out_bvec: string
-            Path to "thinned" output bvec file
-        """
-        import nibabel as nib
-        import numpy as np
-        import os.path as op
-        from nipype.utils.filemanip import fname_presuffix
-
-        img = nib.load(op.abspath(in_file))
-        img_data = img.get_data()
-        img_data_thinned = np.delete(img_data,
-                                     drop_scans,
-                                     axis=3)
-        if isinstance(img, nib.nifti1.Nifti1Image):
-            img_thinned = nib.Nifti1Image(img_data_thinned.astype(np.float64),
-                                          img.affine,
-                                          header=img.header)
-        elif isinstance(img, nib.nifti2.Nifti2Image):
-            img_thinned = nib.Nifti2Image(img_data_thinned.astype(np.float64),
-                                          img.affine,
-                                          header=img.header)
-        else:
-            raise TypeError("in_file does not contain Nifti image datatype.")
-
-        out_file = fname_presuffix(in_file, suffix="_thinned", newpath=op.abspath('.'))
-        nib.save(img_thinned, op.abspath(out_file))
-
-        bval = np.loadtxt(in_bval)
-        bval_thinned = np.delete(bval, drop_scans, axis=0)
-        out_bval = fname_presuffix(in_bval, suffix="_thinned", newpath=op.abspath('.'))
-        np.savetxt(out_bval, bval_thinned)
-
-        bvec = np.loadtxt(in_bvec)
-        bvec_thinned = np.delete(bvec, drop_scans, axis=1)
-        out_bvec = fname_presuffix(in_bvec, suffix="_thinned", newpath=op.abspath('.'))
-        np.savetxt(out_bvec, bvec_thinned)
-
-        return out_file, out_bval, out_bvec
-
-    drop_outliers_node = pe.Node(niu.Function(
-        input_names=["in_file", "in_bval", "in_bvec", "drop_scans"],
-        output_names=["out_file", "out_bval", "out_bvec"],
-        function=drop_outliers_fn),
-        name="drop_outliers_node"
-    )
-
-    # Align the output of drop_outliers_node & also the eddy corrected version to the anatomical space
-    # without resampling. and then for aparc+aseg & the mask, resample to the larger voxel size of the B0 image from
-    # fslroi. Also we need to apply the transformation to both bvecs (dropped & eddied) and I think we can just load
-    # the affine from bbreg (sio.loadmat) and np.dot(coord, aff) for each coord in bvec
-
-    def get_orig(subjects_dir, sub='freesurfer'):
-        import os.path as op
-        return op.join(subjects_dir, sub, "mri", "orig.mgz")
-
-    def get_aparc_aseg(subjects_dir, sub='freesurfer'):
-        import os.path as op
-        return op.join(subjects_dir, sub, "mri", "aparc+aseg.mgz")
-
-    # transform the dropped volume version to anat space w/ out resampling
-    voltransform = pe.Node(fs.ApplyVolTransform(no_resample=True),
-                           iterfield=['source_file', 'reg_file'],
-                           name='transform')
-
-    wf.connect(inputspec, 'subjects_dir', voltransform, 'subjects_dir')
-    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), voltransform, 'target_file')
-    wf.connect(prep, "outputnode.out_file", voltransform, "source_file")
-    wf.connect(bbreg, "out_reg_file", voltransform, "reg_file")
-
-    def apply_transform_to_bvecs_fn(bvec_file, reg_mat_file):
-        import numpy as np
-        import nipype.utils.filemanip as fm
-        import os
-
-        aff = np.loadtxt(reg_mat_file)
-        bvecs = np.loadtxt(bvec_file)
-        bvec_trans = []
-        for bvec in bvecs.T:
-            coord = np.hstack((bvec, [1]))
-            coord_trans = np.dot(coord, aff)[:-1]
-            bvec_trans.append(coord_trans)
-        out_bvec = fm.fname_presuffix(bvec_file, suffix="anat_space", newpath=os.path.abspath('.'))
-        np.savetxt(out_bvec, np.asarray(bvec_trans).T)
-        return out_bvec
-
-    apply_transform_to_bvecs_node = pe.Node(niu.Function(input_names=['bvec_file', 'reg_mat_file'],
-                                                         output_names=['out_bvec'],
-                                                         function=apply_transform_to_bvecs_fn),
-                                            name="applyTransformToBvecs")
-    wf.connect(bbreg, 'out_fsl_file', apply_transform_to_bvecs_node, 'reg_mat_file')
-    wf.connect(prep, 'outputnode.out_bvec', apply_transform_to_bvecs_node, 'bvec_file')
-
-    # ok cool, now lets do the thresholding.
-
-    wf.connect(id_outliers_node, "drop_scans", drop_outliers_node, "drop_scans")
-    wf.connect(voltransform, "transformed_file", drop_outliers_node, "in_file")
-    wf.connect(inputspec, 'bval_file', drop_outliers_node, 'in_bval')
-    wf.connect(apply_transform_to_bvecs_node, "out_bvec", drop_outliers_node, "in_bvec")
-
-    # lets compute the tensor on both the dropped volume scan
-    # and also the original, eddy corrected one.
-    get_tensor = pe.Node(DTI(), name="dipy_tensor")
-    wf.connect(drop_outliers_node, "out_file", get_tensor, "in_file")
-    wf.connect(drop_outliers_node, "out_bval", get_tensor, "in_bval")
-    wf.connect(drop_outliers_node, "out_bvec", get_tensor, "in_bvec")
-
-    get_tensor_eddy = get_tensor.clone('dipy_tensor_eddy')
-    wf.connect(voltransform, 'transformed_file', get_tensor_eddy, "in_file")
-    wf.connect(apply_transform_to_bvecs_node, 'out_bvec', get_tensor_eddy, "in_bvec")
-    wf.connect(inputspec, 'bval_file', get_tensor_eddy, 'in_bval')
-
-    # AK: What is this, some vestigal node from a previous workflow?
-    # I'm not sure why the tensor gets scaled. but i guess lets scale it for
-    # both the dropped & eddy corrected versions.
-    scale_tensor = pe.Node(name='scale_tensor', interface=fsl.BinaryMaths())
-    scale_tensor.inputs.operation = 'mul'
-    scale_tensor.inputs.operand_value = 1000
-    wf.connect(get_tensor, 'out_file', scale_tensor, 'in_file')
-
-    scale_tensor_eddy = scale_tensor.clone('scale_tensor_eddy')
-    wf.connect(get_tensor_eddy, 'out_file', scale_tensor_eddy, 'in_file')
-
-    # OK now that anatomical stuff (segmentation & mask)
-    # We'll need:
-    # 1. the B0 image in anat space (fslroi the 'transformed file' of voltransform
-    # 2. the aparc aseg resampled-like the B0 image (mri_convert)
-    # 3. the resample aparc_aseg binarized to be the mask image.
-
-    def binarize_aparc(aparc_aseg):
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        import os.path as op
-
-        img = nib.load(aparc_aseg)
-        data, aff = img.get_data(), img.affine
-        outfile = fname_presuffix(
-            aparc_aseg, suffix="bin.nii.gz",
-            newpath=op.abspath("."), use_ext=False
-        )
-        nib.Nifti1Image((data > 0).astype(float), aff).to_filename(outfile)
-        return outfile
-
-    create_mask = pe.Node(niu.Function(input_names=["aparc_aseg"],
-                                       output_names=["outfile"],
-                                       function=binarize_aparc),
-                          name="bin_aparc")
-
-    get_b0_anat = fslroi.clone('get_b0_anat')
-    wf.connect(voltransform, 'transformed_file', get_b0_anat, 'in_file')
-
-    # reslice the anat-space aparc+aseg to the DWI resolution
-    reslice_to_dwi = pe.Node(fs.MRIConvert(resample_type="nearest"),
-                             name="reslice_to_dwi")
-    wf.connect(get_b0_anat, 'roi_file', reslice_to_dwi, 'reslice_like')
-    wf.connect(inputspec, ('subjects_dir', get_aparc_aseg), reslice_to_dwi, 'in_file')
-
-    # also reslice the orig i suppose
-    reslice_orig_to_dwi = reslice_to_dwi.clone('resliceT1wToDwi')
-    wf.connect(inputspec, ('subjects_dir', get_orig), reslice_orig_to_dwi, 'in_file')
-    # reslice_orig_to_dwi.inputs.in_file = get_orig(subjects_dir, 'freesurfer')
-    reslice_orig_to_dwi.inputs.out_type = 'niigz'
-    wf.connect(get_b0_anat, 'roi_file', reslice_orig_to_dwi, 'reslice_like')
-
-    # we assume the freesurfer is the output of BIDS
-    # so the freesurfer output is in /path/to/derivatives/sub-whatever/freesurfer
-    # which means the subject_dir is /path/to/derivatives/sub-whatever
-    # reslice_to_dwi.inputs.in_file = get_aparc_aseg(subjects_dir, 'freesurfer')
-
-    # now we have a nice aparc+aseg still in anat space but resliced like the dwi file
-    # lets create a mask file from it.
-
-    wf.connect(reslice_to_dwi, 'out_file', create_mask, 'aparc_aseg')
-
-    # save all the things
-    datasink = pe.Node(nio.DataSink(), name="sinker")
-    wf.connect(inputspec, 'out_dir', datasink, 'base_directory')
-    wf.connect(inputspec, 'subject_id', datasink, 'container')
-
-    wf.connect(drop_outliers_node, "out_file", datasink, "dmriprep.dwi.@thinned")
-    wf.connect(drop_outliers_node, "out_bval", datasink, "dmriprep.dwi.@bval_thinned")
-    wf.connect(drop_outliers_node, "out_bvec", datasink, "dmriprep.dwi.@bvec_thinned")
-
-    # eddy corrected files
-    wf.connect(prep, "outputnode.out_file", datasink, "dmriprep.dwi_eddy.@corrected")
-    wf.connect(prep, "outputnode.out_bvec", datasink, "dmriprep.dwi_eddy.@rotated")
-    wf.connect(inputspec, 'bval_file', datasink, 'dmriprep.dwi_eddy.@bval')
-
-    # all the eddy stuff except the corrected files
-    wf.connect(prep, "fsl_eddy.out_movement_rms",
-               datasink, "dmriprep.qc.@eddyparamsrms")
-    wf.connect(prep, "fsl_eddy.out_outlier_report",
-               datasink, "dmriprep.qc.@eddyparamsreport")
-    wf.connect(prep, "fsl_eddy.out_restricted_movement_rms",
-               datasink, "dmriprep.qc.@eddyparamsrestrictrms")
-    wf.connect(prep, "fsl_eddy.out_shell_alignment_parameters",
-               datasink, "dmriprep.qc.@eddyparamsshellalign")
-    wf.connect(prep, "fsl_eddy.out_parameter",
-               datasink, "dmriprep.qc.@eddyparams")
-    wf.connect(prep, "fsl_eddy.out_cnr_maps",
-               datasink, "dmriprep.qc.@eddycndr")
-    wf.connect(prep, "fsl_eddy.out_residuals",
-               datasink, "dmriprep.qc.@eddyresid")
-
-    # the file that told us which volumes to drop
-    wf.connect(id_outliers_node, "outpath", datasink, "dmriprep.qc.@droppedscans")
-
-    # the tensors of the dropped volumes dwi
-    wf.connect(get_tensor, "out_file", datasink, "dmriprep.dti.@tensor")
-    wf.connect(get_tensor, "fa_file", datasink, "dmriprep.dti.@fa")
-    wf.connect(get_tensor, "md_file", datasink, "dmriprep.dti.@md")
-    wf.connect(get_tensor, "ad_file", datasink, "dmriprep.dti.@ad")
-    wf.connect(get_tensor, "rd_file", datasink, "dmriprep.dti.@rd")
-    wf.connect(get_tensor, "color_fa_file", datasink, "dmriprep.dti.@colorfa")
-    wf.connect(scale_tensor, "out_file", datasink, "dmriprep.dti.@scaled_tensor")
-
-    # the tensors of the eddied volumes dwi
-    wf.connect(get_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@tensor")
-    wf.connect(get_tensor_eddy, "fa_file", datasink, "dmriprep.dti_eddy.@fa")
-    wf.connect(get_tensor_eddy, "md_file", datasink, "dmriprep.dti_eddy.@md")
-    wf.connect(get_tensor_eddy, "ad_file", datasink, "dmriprep.dti_eddy.@ad")
-    wf.connect(get_tensor_eddy, "rd_file", datasink, "dmriprep.dti_eddy.@rd")
-    wf.connect(get_tensor_eddy, "color_fa_file", datasink, "dmriprep.dti_eddy.@colorfa")
-    wf.connect(scale_tensor_eddy, "out_file", datasink, "dmriprep.dti_eddy.@scaled_tensor")
-
-    # all the eddy_quad stuff
-    wf.connect(eddy_quad, 'qc_json', datasink, "dmriprep.qc.@eddyquad_json")
-    wf.connect(eddy_quad, 'qc_pdf', datasink, "dmriprep.qc.@eddyquad_pdf")
-    wf.connect(eddy_quad, 'avg_b_png', datasink, "dmriprep.qc.@eddyquad_bpng")
-    wf.connect(eddy_quad, 'avg_b0_pe_png',
-               datasink, "dmriprep.qc.@eddyquad_b0png")
-    wf.connect(eddy_quad, 'cnr_png', datasink, "dmriprep.qc.@eddyquad_cnr")
-    wf.connect(eddy_quad, 'vdm_png', datasink, "dmriprep.qc.@eddyquad_vdm")
-    wf.connect(eddy_quad, 'residuals', datasink, 'dmriprep.qc.@eddyquad_resid')
-
-    # anatomical registration stuff
-    wf.connect(bbreg, "min_cost_file", datasink, "dmriprep.reg.@mincost")
-    wf.connect(bbreg, "out_fsl_file", datasink, "dmriprep.reg.@fslfile")
-    wf.connect(bbreg, "out_reg_file", datasink, "dmriprep.reg.@reg")
-
-    # anatomical files resliced
-    wf.connect(reslice_to_dwi, 'out_file', datasink, 'dmriprep.anat.@segmentation')
-    wf.connect(create_mask, 'outfile', datasink, 'dmriprep.anat.@mask')
-    wf.connect(reslice_orig_to_dwi, 'out_file', datasink, 'dmriprep.anat.@T1w')
-
-    def report_fn(dwi_corrected_file, eddy_rms, eddy_report,
-                  color_fa_file, anat_mask_file, outlier_indices,
-                  eddy_qc_file):
-        from dmriprep.qc import create_report_json
-
-        report = create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
-                                    color_fa_file, anat_mask_file, outlier_indices,
-                                    eddy_qc_file)
-        return report
-
-    report_node = pe.Node(niu.Function(
-        input_names=['dwi_corrected_file', 'eddy_rms',
-                     'eddy_report', 'color_fa_file',
-                     'anat_mask_file', 'outlier_indices', 'eddy_qc_file'],
-        output_names=['report'],
-        function=report_fn
-    ), name="reportJSON")
-
-    # for the report, lets show the eddy corrected (full volume) image
-    wf.connect(voltransform, "transformed_file", report_node, 'dwi_corrected_file')
-    wf.connect(eddy_quad, 'qc_json', report_node, 'eddy_qc_file')
-
-    # add the rms movement output from eddy
-    wf.connect(prep, "fsl_eddy.out_movement_rms", report_node, 'eddy_rms')
-    wf.connect(prep, "fsl_eddy.out_outlier_report", report_node, 'eddy_report')
-    wf.connect(id_outliers_node, 'drop_scans', report_node, 'outlier_indices')
-
-    # the mask file to check our registration, and the colorFA file go in the report
-    wf.connect(create_mask, "outfile", report_node, 'anat_mask_file')
-    wf.connect(get_tensor, "color_fa_file", report_node, 'color_fa_file')
-
-    # save that report!
-    wf.connect(report_node, 'report', datasink, 'dmriprep.report.@report')
-
-    # this part is done last, to get the filenames *just right*
-    # its super annoying.
-    def name_files_nicely(dwi_file, subject_id):
-        import os.path as op
-
-        dwi_fname = op.split(dwi_file)[1].split(".nii.gz")[0]
-        substitutions = [
-            ("vol0000_flirt_merged.nii.gz", dwi_fname + '.nii.gz'),
-            ("stats.vol0000_flirt_merged.txt", dwi_fname + ".art.json"),
-            ("motion_parameters.par", dwi_fname + ".motion.txt"),
-            ("_rotated.bvec", ".bvec"),
-            ("art.vol0000_flirt_merged_outliers.txt", dwi_fname + ".outliers.txt"),
-            ("vol0000_flirt_merged", dwi_fname),
-            ("_roi_bbreg_freesurfer", "_register"),
-            ("dwi/eddy_corrected", "dwi/%s" % dwi_fname),
-            ("dti/eddy_corrected", "dti/%s" % dwi_fname.replace("_dwi", "")),
-            ("reg/eddy_corrected", "reg/%s" % dwi_fname.replace("_dwi", "")),
-            ("aparc+aseg_outbin", dwi_fname.replace("_dwi", "_mask")),
-            ("aparc+aseg_out", dwi_fname.replace("_dwi", "_aparc+aseg")),
-            ("art.eddy_corrected_outliers", dwi_fname.replace("dwi", "outliers")),
-            ("color_fa", "colorfa"),
-            ("orig_out", dwi_fname.replace("_dwi", "_T1w")),
-            ("stats.eddy_corrected", dwi_fname.replace("dwi", "artStats")),
-            ("eddy_corrected.eddy_parameters", dwi_fname + ".eddy_parameters"),
-            ("qc/eddy_corrected", "qc/" + dwi_fname),
-            ("derivatives/dmriprep", "derivatives/{}/dmriprep".format(subject_id)),
-            ("_rotatedanat_space_thinned", ""),
-            ("_thinned", ""),
-            ("eddy_corrected", dwi_fname),
-            ("_warped", ""),
-            ("_maths", "_scaled"),
-            ("dropped_scans", dwi_fname.replace("_dwi", "_dwi_dropped_scans")),
-            ("report.json", dwi_fname.replace("_dwi", "_dwi_report.json"))
-        ]
-        return substitutions
-
-    node_name_files_nicely = pe.Node(niu.Function(input_names=['dwi_file', 'subject_id'],
-                                                  output_names=['substitutions'],
-                                                  function=name_files_nicely),
-                                     name="name_files_nicely")
-    wf.connect(inputspec, 'dwi_file', node_name_files_nicely, 'dwi_file')
-    wf.connect(inputspec, 'subject_id', node_name_files_nicely, 'subject_id')
-    wf.connect(node_name_files_nicely, 'substitutions', datasink, 'substitutions')
-
-    return wf
diff --git a/dmriprep/workflows/_afq/utils.py b/dmriprep/workflows/_afq/utils.py
deleted file mode 100644
index 648f2a2f..00000000
--- a/dmriprep/workflows/_afq/utils.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import itertools
-import logging
-
-import numpy as np
-
-
-def is_hemispherical(vecs):
-    """
-    Test whether all points on a unit sphere lie in the same hemisphere.
-
-    **Inputs**
-
-    vecs : numpy.ndarray
-        2D numpy array with shape (N, 3) where N is the number of points.
-        All points must lie on the unit sphere.
-
-    **Outputs**
-
-    is_hemi : bool
-        If True, one can find a hemisphere that contains all the points.
-        If False, then the points do not lie in any hemisphere
-    pole : numpy.ndarray
-        If `is_hemi == True`, then pole is the "central" pole of the
-        input vectors. Otherwise, pole is the zero vector.
-
-    **References**
-
-    https://rstudio-pubs-static.s3.amazonaws.com/27121_a22e51b47c544980bad594d5e0bb2d04.html  # noqa
-    """
-    if vecs.shape[1] != 3:
-        raise ValueError("Input vectors must be 3D vectors")
-    if not np.allclose(1, np.linalg.norm(vecs, axis=1)):
-        raise ValueError("Input vectors must be unit vectors")
-
-    # Generate all pairwise cross products
-    v0, v1 = zip(*[p for p in itertools.permutations(vecs, 2)])
-    cross_prods = np.cross(v0, v1)
-
-    # Normalize them
-    cross_prods /= np.linalg.norm(cross_prods, axis=1)[:, np.newaxis]
-
-    # `cross_prods` now contains all candidate vertex points for "the polygon"
-    # in the reference. "The polygon" is a subset. Find which points belong to
-    # the polygon using a dot product test with each of the original vectors
-    angles = np.arccos(np.dot(cross_prods, vecs.transpose()))
-
-    # And test whether it is orthogonal or less
-    dot_prod_test = angles <= np.pi / 2.0
-
-    # If there is at least one point that is orthogonal or less to each
-    # input vector, then the points lie on some hemisphere
-    is_hemi = len(vecs) in np.sum(dot_prod_test.astype(int), axis=1)
-
-    if is_hemi:
-        vertices = cross_prods[
-            np.sum(dot_prod_test.astype(int), axis=1) == len(vecs)
-        ]
-        pole = np.mean(vertices, axis=0)
-        pole /= np.linalg.norm(pole)
-    else:
-        pole = np.array([0.0, 0.0, 0.0])
-    return is_hemi, pole
diff --git a/dmriprep/workflows/anatomical.py b/dmriprep/workflows/anatomical.py
deleted file mode 100644
index 7101b8bf..00000000
--- a/dmriprep/workflows/anatomical.py
+++ /dev/null
@@ -1,36 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Orchestrating the T1w preprocessing workflows
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. autofunction:: init_anat_preproc_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import utility as niu
-
-from niworkflows.anat.ants import init_brain_extraction_wf
-
-
-def init_anat_preproc_wf():
-    """
-    """
-
-    wf = pe.Workflow(name='init_anat_preproc_wf')
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=['T1w_file']), name='inputnode')
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file']), name='outputnode')
-
-    t1_skullstrip = init_brain_extraction_wf()
-
-    to_list = lambda x: [x]
-
-    wf.connect([
-        (inputnode, t1_skullstrip, [(('t1_file', to_list), 'inputnode.in_files')]),
-        (t1_skullstrip, outputnode, [('outputnode.out_file', 'out_file')])
-    ])
-
-    return wf
diff --git a/dmriprep/workflows/base.py b/dmriprep/workflows/base.py
deleted file mode 100644
index 2474204f..00000000
--- a/dmriprep/workflows/base.py
+++ /dev/null
@@ -1,506 +0,0 @@
-# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
-# vi: set ft=python sts=4 ts=4 sw=4 et:
-"""
-dMRIPrep base processing workflows.
-
-.. autofunction:: init_dmriprep_wf
-.. autofunction:: init_single_subject_wf
-
-"""
-
-import sys
-import os
-from collections import OrderedDict
-from copy import deepcopy
-
-from nipype import __version__ as nipype_ver
-from nipype.pipeline import engine as pe
-from nipype.interfaces import utility as niu
-from nilearn import __version__ as nilearn_ver
-
-from niworkflows.engine.workflows import LiterateWorkflow as Workflow
-from niworkflows.interfaces.bids import (
-    BIDSInfo, BIDSFreeSurferDir
-)
-from niworkflows.utils.misc import fix_multi_T1w_source_name
-from smriprep.workflows.anatomical import init_anat_preproc_wf
-
-from ..interfaces import DerivativesDataSink, BIDSDataGrabber
-from ..interfaces.reports import SubjectSummary, AboutSummary
-from ..utils.bids import collect_data
-from ..__about__ import __version__
-# from .dwi import init_dwi_preproc_wf
-
-
-def init_dmriprep_wf(
-    anat_only,
-    debug,
-    force_syn,
-    freesurfer,
-    hires,
-    ignore,
-    layout,
-    longitudinal,
-    low_mem,
-    omp_nthreads,
-    output_dir,
-    output_spaces,
-    run_uuid,
-    skull_strip_fixed_seed,
-    skull_strip_template,
-    subject_list,
-    use_syn,
-    work_dir,
-):
-    """
-    Create the base workflow.
-
-    This workflow organizes the execution of *dMRIPrep*, with a sub-workflow for
-    each subject. If FreeSurfer's recon-all is to be run, a FreeSurfer derivatives folder is
-    created and populated with any needed template subjects.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        import os
-        from collections import namedtuple, OrderedDict
-        BIDSLayout = namedtuple('BIDSLayout', ['root'])
-        from dmriprep.workflows.base import init_dmriprep_wf
-        os.environ['FREESURFER_HOME'] = os.getcwd()
-        wf = init_dmriprep_wf(
-            anat_only=False,
-            debug=False,
-            force_syn=True,
-            freesurfer=True,
-            hires=True,
-            ignore=[],
-            layout=BIDSLayout('.'),
-            longitudinal=False,
-            low_mem=False,
-            omp_nthreads=1,
-            output_dir='.',
-            output_spaces=OrderedDict([
-                ('MNI152Lin', {}), ('fsaverage', {'density': '10k'}),
-                ('T1w', {}), ('fsnative', {})]),
-            run_uuid='X',
-            skull_strip_fixed_seed=False,
-            skull_strip_template=('OASIS30ANTs', {}),
-            subject_list=['dmripreptest'],
-            use_syn=True,
-            work_dir='.',
-        )
-
-
-    Parameters
-    ----------
-        anat_only : bool
-            Disable diffusion MRI workflows
-        debug : bool
-            Enable debugging outputs
-        force_syn : bool
-            **Temporary**: Always run SyN-based SDC
-        freesurfer : bool
-            Enable FreeSurfer surface reconstruction (may increase runtime)
-        hires : bool
-            Enable sub-millimeter preprocessing in FreeSurfer
-        ignore : list
-            Preprocessing steps to skip (may include "slicetiming", "fieldmaps")
-        layout : BIDSLayout object
-            BIDS dataset layout
-        longitudinal : bool
-            Treat multiple sessions as longitudinal (may increase runtime)
-            See sub-workflows for specific differences
-        low_mem : bool
-            Write uncompressed .nii files in some cases to reduce memory usage
-        omp_nthreads : int
-            Maximum number of threads an individual process may use
-        output_dir : str
-            Directory in which to save derivatives
-        output_spaces : OrderedDict
-            Ordered dictionary where keys are TemplateFlow ID strings (e.g., ``MNI152Lin``,
-            ``MNI152NLin6Asym``, ``MNI152NLin2009cAsym``, or ``fsLR``) strings designating
-            nonstandard references (e.g., ``T1w`` or ``anat``, ``sbref``, ``run``, etc.),
-            or paths pointing to custom templates organized in a TemplateFlow-like structure.
-            Values of the dictionary aggregate modifiers (e.g., the value for the key ``MNI152Lin``
-            could be ``{'resolution': 2}`` if one wants the resampling to be done on the 2mm
-            resolution version of the selected template).
-        run_uuid : str
-            Unique identifier for execution instance
-        skull_strip_template : tuple
-            Name of target template for brain extraction with ANTs' ``antsBrainExtraction``,
-            and corresponding dictionary of output-space modifiers.
-        skull_strip_fixed_seed : bool
-            Do not use a random seed for skull-stripping - will ensure
-            run-to-run replicability when used with --omp-nthreads 1
-        subject_list : list
-            List of subject labels
-        use_syn : bool
-            **Experimental**: Enable ANTs SyN-based susceptibility distortion correction (SDC).
-            If fieldmaps are present and enabled, this is not run, by default.
-        work_dir : str
-            Directory in which to store workflow execution state and temporary files
-
-    """
-    dmriprep_wf = Workflow(name='dmriprep_wf')
-    dmriprep_wf.base_dir = work_dir
-
-    if freesurfer:
-        fsdir = pe.Node(
-            BIDSFreeSurferDir(
-                derivatives=output_dir,
-                freesurfer_home=os.getenv('FREESURFER_HOME'),
-                spaces=[s for s in output_spaces.keys() if s.startswith('fsaverage')] + [
-                    'fsnative'] * ('fsnative' in output_spaces)),
-            name='fsdir_run_' + run_uuid.replace('-', '_'), run_without_submitting=True)
-
-    reportlets_dir = os.path.join(work_dir, 'reportlets')
-    for subject_id in subject_list:
-        single_subject_wf = init_single_subject_wf(
-            anat_only=anat_only,
-            debug=debug,
-            force_syn=force_syn,
-            freesurfer=freesurfer,
-            hires=hires,
-            ignore=ignore,
-            layout=layout,
-            longitudinal=longitudinal,
-            low_mem=low_mem,
-            name="single_subject_" + subject_id + "_wf",
-            omp_nthreads=omp_nthreads,
-            output_dir=output_dir,
-            output_spaces=output_spaces,
-            reportlets_dir=reportlets_dir,
-            skull_strip_fixed_seed=skull_strip_fixed_seed,
-            skull_strip_template=skull_strip_template,
-            subject_id=subject_id,
-            use_syn=use_syn,
-        )
-
-        single_subject_wf.config['execution']['crashdump_dir'] = (
-            os.path.join(output_dir, "dmriprep", "sub-" + subject_id, 'log', run_uuid)
-        )
-        for node in single_subject_wf._get_all_nodes():
-            node.config = deepcopy(single_subject_wf.config)
-        if freesurfer:
-            dmriprep_wf.connect(fsdir, 'subjects_dir',
-                                single_subject_wf, 'inputnode.subjects_dir')
-        else:
-            dmriprep_wf.add_nodes([single_subject_wf])
-
-    return dmriprep_wf
-
-
-def init_single_subject_wf(
-    anat_only,
-    debug,
-    force_syn,
-    freesurfer,
-    hires,
-    ignore,
-    layout,
-    longitudinal,
-    low_mem,
-    name,
-    omp_nthreads,
-    output_dir,
-    output_spaces,
-    reportlets_dir,
-    skull_strip_fixed_seed,
-    skull_strip_template,
-    subject_id,
-    use_syn,
-):
-    """
-    Set-up the preprocessing pipeline for a single subject.
-
-    It collects and reports information about the subject, and prepares
-    sub-workflows to perform anatomical and diffusion MRI preprocessing.
-
-    Anatomical preprocessing is performed in a single workflow, regardless of
-    the number of sessions.
-    Functional preprocessing is performed using a separate workflow for each
-    individual BOLD series.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from dmriprep.workflows.base import init_single_subject_wf
-        from collections import namedtuple, OrderedDict
-        BIDSLayout = namedtuple('BIDSLayout', ['root'])
-        wf = init_single_subject_wf(
-            anat_only=False,
-            debug=False,
-            force_syn=True,
-            freesurfer=True,
-            hires=True,
-            ignore=[],
-            layout=BIDSLayout('.'),
-            longitudinal=False,
-            low_mem=False,
-            name='single_subject_wf',
-            omp_nthreads=1,
-            output_dir='.',
-            output_spaces=OrderedDict([
-                ('MNI152Lin', {}), ('fsaverage', {'density': '10k'}),
-                ('T1w', {}), ('fsnative', {})]),
-            reportlets_dir='.',
-            skull_strip_fixed_seed=False,
-            skull_strip_template=('OASIS30ANTs', {}),
-            subject_id='test',
-            use_syn=True,
-        )
-
-
-    Parameters
-    ----------
-        anat_only : bool
-            Disable diffusion MRI workflows
-        debug : bool
-            Enable debugging outputs
-        force_syn : bool
-            **Temporary**: Always run SyN-based SDC
-        freesurfer : bool
-            Enable FreeSurfer surface reconstruction (may increase runtime)
-        hires : bool
-            Enable sub-millimeter preprocessing in FreeSurfer
-        ignore : list
-            Preprocessing steps to skip (may include "slicetiming", "fieldmaps")
-        layout : BIDSLayout object
-            BIDS dataset layout
-        longitudinal : bool
-            Treat multiple sessions as longitudinal (may increase runtime)
-            See sub-workflows for specific differences
-        low_mem : bool
-            Write uncompressed .nii files in some cases to reduce memory usage
-        name : str
-            Name of workflow
-        omp_nthreads : int
-            Maximum number of threads an individual process may use
-        output_dir : str
-            Directory in which to save derivatives
-        output_spaces : OrderedDict
-            Ordered dictionary where keys are TemplateFlow ID strings (e.g., ``MNI152Lin``,
-            ``MNI152NLin6Asym``, ``MNI152NLin2009cAsym``, or ``fsLR``) strings designating
-            nonstandard references (e.g., ``T1w`` or ``anat``, ``sbref``, ``run``, etc.),
-            or paths pointing to custom templates organized in a TemplateFlow-like structure.
-            Values of the dictionary aggregate modifiers (e.g., the value for the key ``MNI152Lin``
-            could be ``{'resolution': 2}`` if one wants the resampling to be done on the 2mm
-            resolution version of the selected template).
-        reportlets_dir : str
-            Directory in which to save reportlets
-        skull_strip_fixed_seed : bool
-            Do not use a random seed for skull-stripping - will ensure
-            run-to-run replicability when used with --omp-nthreads 1
-        skull_strip_template : tuple
-            Name of target template for brain extraction with ANTs' ``antsBrainExtraction``,
-            and corresponding dictionary of output-space modifiers.
-        subject_id : str
-            List of subject labels
-        use_syn : bool
-            **Experimental**: Enable ANTs SyN-based susceptibility distortion correction (SDC).
-            If fieldmaps are present and enabled, this is not run, by default.
-
-
-    Inputs
-
-        subjects_dir
-            FreeSurfer SUBJECTS_DIR
-
-    """
-    from ..config import NONSTANDARD_REFERENCES
-    if name in ('single_subject_wf', 'single_subject_dmripreptest_wf'):
-        # for documentation purposes
-        subject_data = {
-            't1w': ['/completely/made/up/path/sub-01_T1w.nii.gz'],
-            'dwi': ['/completely/made/up/path/sub-01_task-nback_bold.nii.gz']
-        }
-    else:
-        subject_data = collect_data(layout, subject_id)[0]
-
-    # Make sure we always go through these two checks
-    if not anat_only and subject_data['dwi'] == []:
-        raise Exception("No DWI data found for participant {}. "
-                        "All workflows require DWI images.".format(subject_id))
-
-    if not subject_data['t1w']:
-        raise Exception("No T1w images found for participant {}. "
-                        "All workflows require T1w images.".format(subject_id))
-
-    workflow = Workflow(name=name)
-    workflow.__desc__ = """
-Results included in this manuscript come from preprocessing
-performed using *dMRIPrep* {dmriprep_ver}
-(@dmriprep; RRID:SCR_017412),
-which is based on *Nipype* {nipype_ver}
-(@nipype1; @nipype2; RRID:SCR_002502).
-
-""".format(dmriprep_ver=__version__, nipype_ver=nipype_ver)
-    workflow.__postdesc__ = """
-
-Many internal operations of *dMRIPrep* use
-*Nilearn* {nilearn_ver} [@nilearn, RRID:SCR_001362],
-mostly within the diffusion MRI processing workflow.
-For more details of the pipeline, see [the section corresponding
-to workflows in *dMRIPrep*'s documentation]\
-(https://dmriprep.readthedocs.io/en/latest/workflows.html \
-"dMRIPrep's documentation").
-
-
-### Copyright Waiver
-
-The above boilerplate text was automatically generated by dMRIPrep
-with the express intention that users should copy and paste this
-text into their manuscripts *unchanged*.
-It is released under the [CC0]\
-(https://creativecommons.org/publicdomain/zero/1.0/) license.
-
-### References
-
-""".format(nilearn_ver=nilearn_ver)
-
-    # Filter out standard spaces to a separate dict
-    std_spaces = OrderedDict([
-        (key, modifiers) for key, modifiers in output_spaces.items()
-        if key not in NONSTANDARD_REFERENCES])
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=['subjects_dir']),
-                        name='inputnode')
-
-    bidssrc = pe.Node(BIDSDataGrabber(subject_data=subject_data, anat_only=anat_only),
-                      name='bidssrc')
-
-    bids_info = pe.Node(BIDSInfo(
-        bids_dir=layout.root, bids_validate=False), name='bids_info')
-
-    summary = pe.Node(SubjectSummary(
-        std_spaces=list(std_spaces.keys()),
-        nstd_spaces=list(set(NONSTANDARD_REFERENCES).intersection(output_spaces.keys()))),
-        name='summary', run_without_submitting=True)
-
-    about = pe.Node(AboutSummary(version=__version__,
-                                 command=' '.join(sys.argv)),
-                    name='about', run_without_submitting=True)
-
-    ds_report_summary = pe.Node(
-        DerivativesDataSink(base_directory=reportlets_dir,
-                            desc='summary', keep_dtype=True),
-        name='ds_report_summary', run_without_submitting=True)
-
-    ds_report_about = pe.Node(
-        DerivativesDataSink(base_directory=reportlets_dir,
-                            desc='about', keep_dtype=True),
-        name='ds_report_about', run_without_submitting=True)
-
-    # Preprocessing of T1w (includes registration to MNI)
-    anat_preproc_wf = init_anat_preproc_wf(
-        bids_root=layout.root,
-        debug=debug,
-        freesurfer=freesurfer,
-        hires=hires,
-        longitudinal=longitudinal,
-        name="anat_preproc_wf",
-        num_t1w=len(subject_data['t1w']),
-        omp_nthreads=omp_nthreads,
-        output_dir=output_dir,
-        output_spaces=std_spaces,
-        reportlets_dir=reportlets_dir,
-        skull_strip_fixed_seed=skull_strip_fixed_seed,
-        skull_strip_template=skull_strip_template,
-    )
-
-    workflow.connect([
-        (inputnode, anat_preproc_wf, [('subjects_dir', 'inputnode.subjects_dir')]),
-        (bidssrc, bids_info, [(('t1w', fix_multi_T1w_source_name), 'in_file')]),
-        (inputnode, summary, [('subjects_dir', 'subjects_dir')]),
-        (bidssrc, summary, [('t1w', 't1w'),
-                            ('t2w', 't2w'),
-                            ('dwi', 'dwi')]),
-        (bids_info, summary, [('subject', 'subject_id')]),
-        (bids_info, anat_preproc_wf, [(('subject', _prefix), 'inputnode.subject_id')]),
-        (bidssrc, anat_preproc_wf, [('t1w', 'inputnode.t1w'),
-                                    ('t2w', 'inputnode.t2w'),
-                                    ('roi', 'inputnode.roi'),
-                                    ('flair', 'inputnode.flair')]),
-        (bidssrc, ds_report_summary, [(('t1w', fix_multi_T1w_source_name), 'source_file')]),
-        (summary, ds_report_summary, [('out_report', 'in_file')]),
-        (bidssrc, ds_report_about, [(('t1w', fix_multi_T1w_source_name), 'source_file')]),
-        (about, ds_report_about, [('out_report', 'in_file')]),
-    ])
-
-    # Overwrite ``out_path_base`` of smriprep's DataSinks
-    for node in workflow.list_node_names():
-        if node.split('.')[-1].startswith('ds_'):
-            workflow.get_node(node).interface.out_path_base = 'dmriprep'
-
-    if anat_only:
-        return workflow
-
-    # for dwi_file in subject_data['dwi']:
-    #     dwi_preproc_wf = init_dwi_preproc_wf(
-    #         aroma_melodic_dim=aroma_melodic_dim,
-    #         bold2t1w_dof=bold2t1w_dof,
-    #         bold_file=bold_file,
-    #         cifti_output=cifti_output,
-    #         debug=debug,
-    #         dummy_scans=dummy_scans,
-    #         err_on_aroma_warn=err_on_aroma_warn,
-    #         fmap_bspline=fmap_bspline,
-    #         fmap_demean=fmap_demean,
-    #         force_syn=force_syn,
-    #         freesurfer=freesurfer,
-    #         ignore=ignore,
-    #         layout=layout,
-    #         low_mem=low_mem,
-    #         medial_surface_nan=medial_surface_nan,
-    #         num_bold=len(subject_data['bold']),
-    #         omp_nthreads=omp_nthreads,
-    #         output_dir=output_dir,
-    #         output_spaces=output_spaces,
-    #         reportlets_dir=reportlets_dir,
-    #         regressors_all_comps=regressors_all_comps,
-    #         regressors_fd_th=regressors_fd_th,
-    #         regressors_dvars_th=regressors_dvars_th,
-    #         t2s_coreg=t2s_coreg,
-    #         use_aroma=use_aroma,
-    #         use_syn=use_syn,
-    #     )
-
-    #     workflow.connect([
-    #         (anat_preproc_wf, dwi_preproc_wf,
-    #          [(('outputnode.t1_preproc', _pop), 'inputnode.t1_preproc'),
-    #           ('outputnode.t1_brain', 'inputnode.t1_brain'),
-    #           ('outputnode.t1_mask', 'inputnode.t1_mask'),
-    #           ('outputnode.t1_seg', 'inputnode.t1_seg'),
-    #           ('outputnode.t1_aseg', 'inputnode.t1_aseg'),
-    #           ('outputnode.t1_aparc', 'inputnode.t1_aparc'),
-    #           ('outputnode.t1_tpms', 'inputnode.t1_tpms'),
-    #           ('outputnode.template', 'inputnode.template'),
-    #           ('outputnode.forward_transform', 'inputnode.anat2std_xfm'),
-    #           ('outputnode.reverse_transform', 'inputnode.std2anat_xfm'),
-    #           ('outputnode.joint_template', 'inputnode.joint_template'),
-    #           ('outputnode.joint_forward_transform', 'inputnode.joint_anat2std_xfm'),
-    #           ('outputnode.joint_reverse_transform', 'inputnode.joint_std2anat_xfm'),
-    #           # Undefined if --no-freesurfer, but this is safe
-    #           ('outputnode.subjects_dir', 'inputnode.subjects_dir'),
-    #           ('outputnode.subject_id', 'inputnode.subject_id'),
-    #           ('outputnode.t1_2_fsnative_forward_transform',
-    #            'inputnode.t1_2_fsnative_forward_transform'),
-    #           ('outputnode.t1_2_fsnative_reverse_transform',
-    #            'inputnode.t1_2_fsnative_reverse_transform')]),
-    #     ])
-
-    return workflow
-
-
-def _prefix(subid):
-    if subid.startswith('sub-'):
-        return subid
-    return '-'.join(('sub', subid))
-
-
-def _pop(inlist):
-    if isinstance(inlist, (list, tuple)):
-        return inlist[0]
-    return inlist
diff --git a/dmriprep/workflows/dwi/__init__.py b/dmriprep/workflows/dwi/__init__.py
index 401e8771..a55fa8c8 100644
--- a/dmriprep/workflows/dwi/__init__.py
+++ b/dmriprep/workflows/dwi/__init__.py
@@ -7,25 +7,13 @@
 
 .. automodule:: dmriprep.workflows.dwi.base
 .. automodule:: dmriprep.workflows.dwi.util
-.. automodule:: dmriprep.workflows.dwi.artifacts
-.. automodule:: dmriprep.workflows.dwi.eddy
-.. automodule:: dmriprep.workflows.dwi.tensor
-.. automodule:: dmriprep.workflows.dwi.outputs
 
 """
 
 from .base import init_dwi_preproc_wf
 from .util import init_dwi_concat_wf
-from .artifacts import init_dwi_artifacts_wf
-from .eddy import init_dwi_eddy_wf
-from .tensor import init_dwi_tensor_wf
-from .outputs import init_dwi_derivatives_wf
 
 __all__ = [
     'init_dwi_preproc_wf',
-    'init_dwi_concat_wf',
-    'init_dwi_artifacts_wf',
-    'init_dwi_eddy_wf',
-    'init_dwi_tensor_wf',
-    'init_dwi_derivatives_wf'
+    'init_dwi_concat_wf'
 ]
diff --git a/dmriprep/workflows/dwi/artifacts.py b/dmriprep/workflows/dwi/artifacts.py
deleted file mode 100644
index e1204f16..00000000
--- a/dmriprep/workflows/dwi/artifacts.py
+++ /dev/null
@@ -1,131 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Artefact removal and resizing
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. autofunction:: init_dwi_artifacts_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import mrtrix3, utility as niu
-
-from dmriprep.due import due, BibTeX
-
-
-@due.dcite(BibTeX(
-    """
-    @article{denoise1,
-    title = {Denoising of diffusion MRI using random matrix theory},
-    volume = {142},
-    doi = {10.1016/j.neuroimage.2016.08.016},
-    journal = {NeuroImage},
-    author = {Veraart, J.; Novikov, D.S.; Christiaens, D.; Ades-aron, B.; Sijbers, J. & Fieremans, E.},
-    year = {2016},
-    pages = {394-406}}
-    """),
-    description='Denoising algorithm')
-@due.dcite(BibTeX(
-    """
-    @article{denoise2,
-    title = {Diffusion MRI noise mapping using random matrix theory},
-    volume = {76},
-    doi = {10.1002/mrm.26059},
-    journal = {Magnetic Resonance in Medicine},
-    author = {Veraart, J.; Fieremans, E. & Novikov, D.S.},
-    year = {2016},
-    pages = {1582-1593}}
-    """),
-    description='Denoising algorithm')
-@due.dcite(BibTeX(
-    """
-    @article{unring,
-    title = {Gibbs-ringing artifact removal based on local subvoxel-shifts},
-    volume = {76},
-    doi = {10.1002/mrm.26054},
-    journal = {Magnetic Resonance in Medicine},
-    author = {Kellner, E; Dhital, B; Kiselev, V.G & Reisert, M.},
-    year = {2016},
-    pages = {1574–1581}}
-    """),
-    description='Unringing algorithm')
-def init_dwi_artifacts_wf(ignore, output_resolution):
-    """
-    This workflow performs denoising and unringing on the input dwi image.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from dmriprep.workflows.dwi import init_dwi_artifacts_wf
-        wf = init_dwi_artifacts_wf(ignore=[], output_resolution=(1, 1, 1))
-
-    **Parameters**
-
-        ignore : :obj:`list`
-            List of artefact removal steps to skip (default: [])
-
-    **Inputs**
-
-        dwi_file : :obj:`str`
-            dwi NIfTI file
-
-    **Outputs**
-
-        out_file : :obj:`str`
-            dwi NIfTI file after artefact removal
-
-    """
-
-    wf = pe.Workflow(name='dwi_artifacts_wf')
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=['dwi_file']), name='inputnode')
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file']), name='outputnode')
-
-    dwibuffer = pe.Node(niu.IdentityInterface(fields=['dwi_file']), name='dwibuffer')
-
-    denoise = pe.Node(mrtrix3.DWIDenoise(), name='denoise')
-
-    unring = pe.Node(mrtrix3.MRDeGibbs(), name='unring')
-
-    resize = pe.Node(mrtrix3.MRResize(), name='resize')
-
-    if ignore == ['denoising']:
-        wf.connect([
-            (inputnode, unring, [('dwi_file', 'in_file')]),
-            (unring, dwibuffer, [('out_file', 'dwi_file')])
-        ])
-
-    elif ignore == ['unringing']:
-        wf.connect([
-            (inputnode, denoise, [('dwi_file', 'in_file')]),
-            (denoise, dwibuffer, [('out_file', 'dwi_file')])
-        ])
-
-    elif ['denoising', 'unringing'] in ignore:
-        wf.connect([
-            (inputnode, dwibuffer, 'dwi_file', 'dwi_file')
-        ])
-
-    else:
-        wf.connect([
-            (inputnode, denoise, [('dwi_file', 'in_file')]),
-            (denoise, unring, [('out_file', 'in_file')]),
-            (unring, dwibuffer, [('out_file', 'dwi_file')])
-        ])
-
-    if output_resolution:
-        resize.inputs.voxel_size = output_resolution
-        wf.connect([
-            (dwibuffer, resize, [('dwi_file', 'in_file')]),
-            (resize, outputnode, [('out_file', 'out_file')])
-        ])
-
-    else:
-        wf.connect([
-            (dwibuffer, outputnode, [('dwi_file', 'out_file')])
-        ])
-
-    return wf
diff --git a/dmriprep/workflows/dwi/base.py b/dmriprep/workflows/dwi/base.py
index e54326f9..e7b31899 100755
--- a/dmriprep/workflows/dwi/base.py
+++ b/dmriprep/workflows/dwi/base.py
@@ -1,440 +1,1089 @@
 # -*- coding: utf-8 -*-
-
-"""
-Orchestrating the dwi preprocessing workflows
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. autofunction:: init_dwi_preproc_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import fsl, mrtrix3, utility as niu
-
-from .artifacts import init_dwi_artifacts_wf
-from .eddy import init_dwi_eddy_wf
-from .tensor import init_dwi_tensor_wf
-from ..fieldmap.base import init_sdc_wf
-
-FMAP_PRIORITY = {'epi': 0, 'fieldmap': 1, 'phasediff': 2, 'phase': 3, 'syn': 4}
+import os
 
 
 def init_dwi_preproc_wf(
-    layout,
-    output_dir,
-    subject_id,
+    sub,
+    ses,
     dwi_file,
+    fbval,
+    fbvec,
     metadata,
-    b0_thresh,
-    output_resolution,
-    bet_dwi,
-    bet_mag,
-    acqp_file,
+    out_dir,
+    sdc_method,
+    denoise_strategy,
+    vox_size,
+    outlier_thresh,
     omp_nthreads,
-    ignore,
-    use_ants,
-    use_brainsuite,
-    synb0_dir
+    eddy_mem_gb
 ):
-    """
-    This workflow controls the diffusion preprocessing stages of dMRIprep.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from collections import namedtuple
-        from dmriprep.workflows.dwi import init_dwi_preproc_wf
-        BIDSLayout = namedtuple('BIDSLayout', ['root'])
-        wf = init_dwi_preproc_wf(layout=BIDSLayout('.'), output_dir='.', subject_id='dmripreptest', dwi_file='/madeup/path/sub-01_dwi.nii.gz', metadata={'PhaseEncodingDirection': 'j-', 'TotalReadoutTime': 0.05}, b0_thresh=5, output_resolution=(1, 1, 1), bet_dwi=0.3, bet_mag=0.3, acqp_file='', omp_nthreads=1, ignore=['fieldmaps'], synb0_dir='')
-
-    """
-
-    wf_name = _get_wf_name(dwi_file)
-
-    if isinstance(dwi_file, list):
-        ref_file = dwi_file[0]
-    else:
-        ref_file = dwi_file
-
-    sdc_method = None
-
-    # For doc building purposes
-    if not hasattr(layout, 'parse_file_entities'):
-        metadata = {
-            'PhaseEncodingDirection': 'j-',
-            'TotalReadoutTime': 0.05
-        }
-        fmaps = [{
-            'suffix': 'phasediff',
-            'phasediff': 'sub-01/fmap/sub-01_phasediff.nii.gz',
-            'magnitude1': 'sub-01/fmap/sub-01_magnitude1.nii.gz',
-            'magnitude2': 'sub-01/fmap/sub-01_magnitude2.nii.gz'
-        }]
-    else:
-        metadata = layout.get_metadata(ref_file)
-        # Find fieldmaps. Options: (epi|fieldmap|phasediff|phase1|phase2|syn)
-        fmaps = []
-        if 'fieldmaps' not in ignore:
-            for fmap in layout.get_fieldmap(ref_file, return_list=True):
-                fmap['metadata'] = layout.get_metadata(fmap[fmap['suffix']])
-                fmaps.append(fmap)
-
-        if (use_ants and not fmaps):
-            fmaps.append({'suffix': 'ants'})
-            sdc_method = 'nonlinear_reg'
-        if (use_brainsuite and not fmaps):
-            fmaps.append({'suffix': 'brainsuite'})
-            sdc_method = 'nonlinear_reg'
-
-        if fmaps:
-            fmaps.sort(key=lambda fmap: FMAP_PRIORITY[fmap['suffix']])
-            fmap = fmaps[0]
-            if fmap['suffix'] == 'epi':
-                sdc_method = 'topup'
-            if any(s in fmap['suffix'] for s in ['fieldmap', 'phasediff', 'phase1']):
-                sdc_method = 'fieldmap'
-
-    dwi_wf = pe.Workflow(name=wf_name)
-
-    # # If use_synb0 set, get synb0 from files
-    # synb0 = ''
-    # if synb0_dir:
-    #     synb0_layout = BIDSLayout(
-    #         synb0_dir, validate=False, derivatives=True
-    #     )
-    #     synb0 = synb0_layout.get(subject=subject_id, return_type='file')[0]
-
-    dwi_sdc_wf = init_sdc_wf(
-        subject_id,
-        fmaps,
-        metadata,
-        layout,
-        bet_mag,
-        # synb0,
-    )
-
+    import json
+    import shutil
+    from numba import cuda
+    import pkg_resources
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import utility as niu
+    from nipype.interfaces import fsl
+    from nipype.algorithms.rapidart import ArtifactDetect
+    from dmriprep.interfaces import fsl_extensions
+    from dmriprep.utils import core, qc
+    from shutil import which
+
+    import_list = [
+        "import sys",
+        "import os",
+        "import numpy as np",
+        "import nibabel as nib",
+        "import warnings",
+        'warnings.filterwarnings("ignore")',
+    ]
+
+    subdir = "%s%s%s" % (out_dir, "/", sub)
+    if not os.path.isdir(subdir):
+        os.mkdir(subdir)
+    sesdir = "%s%s%s%s%s" % (out_dir, "/", sub, "/ses-", ses)
+    if not os.path.isdir(sesdir):
+        os.mkdir(sesdir)
+
+    eddy_cfg_file = pkg_resources.resource_filename('dmriprep.config', "eddy_params.json")
+
+    # Create dictionary of eddy args
+    with open(eddy_cfg_file, "r") as f:
+        eddy_args = json.load(f)
+
+    wf = pe.Workflow(name="single_subject_dmri_" + str(ses))
+    wf.base_dir = sesdir
     inputnode = pe.Node(
         niu.IdentityInterface(
             fields=[
-                'subject_id',
-                'dwi_file',
-                'dwi_meta',
-                'bvec_file',
-                'bval_file',
-                'out_dir']),
-        name='inputnode')
-
-    outputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=[
-                'out_dwi',
-                'out_bval',
-                'out_bvec',
-                'index',
-                'acq_params',
-                'out_mask',
-                'out_b0_pre',
-                'out_b0_mask_pre',
-                'out_eddy_quad_json',
-                'out_eddy_quad_pdf',
-                'out_dtifit_FA',
-                'out_dtifit_V1',
-                'out_dtifit_sse',
-                'out_noise']),
-        name='outputnode')
-
-    def gen_index(in_file):
-        """
-        Create an index file that tells `eddy` which line/lines in the
-        `acqparams.txt` file are relevant for the dwi data passed into `eddy`
-
-        **Inputs**
-
-        in_file
-            The bval file.
-
-        **Outputs**
-
-        out_file
-            The output index file.
-
-        """
-
-        import os
-        import numpy as np
-        import nibabel as nib
-        from nipype.utils import NUMPY_MMAP
-        from nipype.utils.filemanip import fname_presuffix
-
-        out_file = fname_presuffix(
-            in_file, suffix='_index.txt', newpath=os.path.abspath('.'), use_ext=False
-        )
-        vols = nib.load(in_file, mmap=NUMPY_MMAP).get_data().shape[-1]
-        index_lines = np.ones((vols,))
-        index_lines_reshape = index_lines.reshape(1, index_lines.shape[0])
-        np.savetxt(out_file, index_lines_reshape, fmt='%i')
-        return out_file
-
-    gen_idx = pe.Node(
+                "dwi_file",
+                "fbvec",
+                "fbval",
+                "metadata",
+                "sub",
+                "ses",
+                "sesdir",
+                "denoise_strategy",
+                "vox_size",
+                "outlier_thresh",
+                "eddy_cfg_file",
+                "omp_nthreads"
+            ]
+        ),
+        name="inputnode",
+    )
+    inputnode.inputs.dwi_file = dwi_file
+    inputnode.inputs.fbvec = fbvec
+    inputnode.inputs.fbval = fbval
+    inputnode.inputs.metadata = metadata
+    inputnode.inputs.sub = sub
+    inputnode.inputs.ses = ses
+    inputnode.inputs.sesdir = sesdir
+    inputnode.inputs.denoise_strategy = denoise_strategy
+    inputnode.inputs.vox_size = vox_size
+    inputnode.inputs.outlier_thresh = outlier_thresh
+    inputnode.inputs.eddy_cfg_file = eddy_cfg_file
+    inputnode.inputs.omp_nthreads = omp_nthreads
+
+    check_orient_and_dims_dwi_node = pe.Node(
         niu.Function(
-            input_names=['in_file'], output_names=['out_file'], function=gen_index),
-        name='gen_index')
+            input_names=["infile", "vox_size", "bvecs", "outdir"],
+            output_names=["outfile", "bvecs"],
+            function=qc.check_orient_and_dims,
+            imports=import_list,
+        ),
+        name="check_orient_and_dims_dwi_node",
+    )
+    check_orient_and_dims_dwi_node._mem_gb = 1
 
-    def gen_acqparams(in_file, metadata):
-        """
-        Create an acquisition parameters file for ``eddy``
+    # Make gtab and get b0 indices
+    correct_vecs_and_make_b0s_node = pe.Node(
+        niu.Function(
+            input_names=["fbval", "fbvec", "dwi_file", "sesdir"],
+            output_names=["initial_mean_b0", "gtab_file", "b0_vols", "b0s", "slm"],
+            function=core.correct_vecs_and_make_b0s,
+            imports=import_list,
+        ),
+        name="correct_vecs_and_make_b0s",
+    )
+    correct_vecs_and_make_b0s_node._mem_gb = 1
 
-        **Inputs**
+    btr_node_premoco = pe.Node(fsl.BET(), name="bet_pre_moco")
+    btr_node_premoco.inputs.mask = True
+    btr_node_premoco.inputs.frac = 0.2
+    btr_node_premoco._mem_gb = 1
 
-        in_file
-            The dwi file
-        metadata
-            The BIDS metadata of the dwi file
+    apply_mask_premoco_node = pe.Node(fsl.ApplyMask(), name="apply_mask_pre_moco")
+    apply_mask_premoco_node._mem_gb = 1
 
-        **Outputs**
+    # Detect and remove motion outliers
+    fsl_split_node = pe.Node(fsl.Split(dimension="t"), name="fsl_split")
+    fsl_split_node._mem_gb = 1
 
-        out_file
-            The output acquisition parameters file
+    coreg = pe.MapNode(
+        fsl.FLIRT(no_search=True, interp="spline", padding_size=1, dof=6),
+        name="coregistration",
+        iterfield=["in_file"],
+    )
+    coreg._mem_gb = 1
 
-        """
+    get_motion_params_node = pe.Node(
+        niu.Function(
+            input_names=["flirt_mats"],
+            output_names=["motion_params"],
+            function=core.get_flirt_motion_parameters,
+            imports=import_list,
+        ),
+        name="get_motion_params",
+    )
+    get_motion_params_node._mem_gb = 0.5
+
+    fsl_merge_node = pe.Node(fsl.Merge(dimension="t"), name="fsl_merge")
+    fsl_merge_node._mem_gb = 2
+
+    art_node = pe.Node(interface=ArtifactDetect(), name="art")
+    art_node.inputs.use_differences = [True, True]
+    art_node.inputs.save_plot = False
+    art_node.inputs.use_norm = True
+    # scan-to-scan head-motion composite changes
+    art_node.inputs.norm_threshold = 3
+    # z-score scan-to-scan global signal changes
+    art_node.inputs.zintensity_threshold = 9
+    art_node.inputs.mask_type = "spm_global"
+    art_node.inputs.parameter_source = "FSL"
+    art_node._mem_gb = 1
+
+    drop_outliers_fn_node = pe.Node(
+        niu.Function(
+            input_names=["in_file", "in_bval", "in_bvec", "drop_scans", "in_sigma"],
+            output_names=["out_file", "out_bval", "out_bvec", "out_sigma"],
+            function=core.drop_outliers_fn,
+            imports=import_list,
+        ),
+        name="drop_outliers_fn",
+    )
+    drop_outliers_fn_node._mem_gb = 1
 
-        import os
-        from nipype.utils.filemanip import fname_presuffix
+    make_gtab_node = pe.Node(
+        niu.Function(
+            input_names=["fbval", "fbvec", "sesdir", "final"],
+            output_names=["gtab_file", "gtab", "final_bval_path", "final_bvec_path"],
+            function=core.make_gtab,
+            imports=import_list,
+        ),
+        name="make_gtab",
+    )
+    make_gtab_node.inputs.final = False
+    make_gtab_node._mem_gb = 1
 
-        out_file = fname_presuffix(
-            in_file,
-            suffix='_acqparams.txt',
-            newpath=os.path.abspath('.'),
-            use_ext=False,
-        )
+    estimate_noise_node = pe.Node(
+        niu.Function(
+            input_names=["in_file", "gtab_file", "mask", "denoise_strategy"],
+            output_names=["sigma_path"],
+            function=core.estimate_sigma,
+            imports=import_list,
+        ),
+        name="estimate_noise",
+    )
+    estimate_noise_node._mem_gb = omp_nthreads*2
+    estimate_noise_node.n_procs = omp_nthreads
 
-        acq_param_dict = {
-            'j': '0 1 0 %.7f',
-            'j-': '0 -1 0 %.7f',
-            'i': '1 0 0 %.7f',
-            'i-': '-1 0 0 %.7f',
-            'k': '0 0 1 %.7f',
-            'k-': '0 0 -1 %.7f',
-        }
+    # Suppress gibbs ringing
+    suppress_gibbs_node = pe.Node(
+        niu.Function(
+            input_names=["in_file", "sesdir"],
+            output_names=["gibbs_free_file"],
+            function=core.suppress_gibbs,
+            imports=import_list,
+        ),
+        name="suppress_gibbs",
+    )
+    suppress_gibbs_node._mem_gb = 12
+    suppress_gibbs_node.n_procs = 6
 
-        pe_dir = metadata.get('PhaseEncodingDirection')
-        total_readout = metadata.get('TotalReadoutTime')
-        acq_param_lines = acq_param_dict[pe_dir] % total_readout
+    extract_metadata_node = pe.Node(
+        niu.Function(
+            input_names=["metadata"],
+            output_names=["spec_acqps", "vol_legend"],
+            function=core.extract_metadata,
+            imports=import_list,
+        ),
+        name="extract_metadata",
+    )
+    extract_metadata_node._mem_gb = 0.5
 
-        with open(out_file, 'w') as f:
-            f.write(acq_param_lines)
+    # Gather TOPUP/EDDY inputs
+    check_shelled_node = pe.Node(
+        niu.Function(
+            input_names=["gtab_file"],
+            output_names=["check_shelled"],
+            function=core.check_shelled,
+            imports=import_list,
+        ),
+        name="check_shelled",
+    )
+    check_shelled_node._mem_gb = 0.5
 
-        return out_file
+    get_topup_inputs_node = pe.Node(
+        niu.Function(
+            input_names=["dwi_file", "sesdir", "spec_acqp", "b0_vols", "b0s", "vol_legend"],
+            output_names=[
+                "datain_file",
+                "imain_output",
+                "example_b0",
+                "datain_lines",
+                "topup_config",
+                "susceptibility_args"
+            ],
+            function=core.topup_inputs_from_dwi_files,
+            imports=import_list,
+        ),
+        name="get_topup_inputs",
+    )
+    get_topup_inputs_node._mem_gb = 0.5
 
-    acqp = pe.Node(
+    get_eddy_inputs_node = pe.Node(
         niu.Function(
-            input_names=['in_file', 'metadata'],
-            output_names=['out_file'],
-            function=gen_acqparams),
-        name='acqp')
-
-    dwi_artifacts_wf = init_dwi_artifacts_wf(ignore, output_resolution)
-
-    def b0_average(in_dwi, in_bval, b0_thresh, out_file=None):
-        """
-        Averages the *b0* volumes from a DWI dataset.
-        As current dMRI data are being acquired with all b-values > 0.0,
-        the *lowb* volumes are selected by specifying the parameter b0_thresh.
-        .. warning:: *b0* should be already registered (head motion artifact
-        should be corrected).
-        """
-        import os
-        import numpy as np
-        import nibabel as nib
-        from nipype.utils import NUMPY_MMAP
-        from nipype.utils.filemanip import fname_presuffix
-
-        if out_file is None:
-            out_file = fname_presuffix(
-                in_dwi, suffix='_avg_b0', newpath=os.path.abspath('.')
-            )
+            input_names=["sesdir", "gtab_file"],
+            output_names=["index_file"],
+            function=core.eddy_inputs_from_dwi_files,
+            imports=import_list,
+        ),
+        name="get_eddy_inputs",
+    )
+    get_eddy_inputs_node._mem_gb = 0.5
 
-        imgs = np.array(nib.four_to_three(nib.load(in_dwi, mmap=NUMPY_MMAP)))
-        bval = np.loadtxt(in_bval)
-        index = np.argwhere(bval <= b0_thresh).flatten().tolist()
+    # Run TOPUP
+    topup_node = pe.Node(fsl.TOPUP(), name="topup")
+    topup_node._mem_gb = 14
+    topup_node.n_procs = 8
+    topup_node.interface.mem_gb = 14
+    topup_node.interface.n_procs = 8
 
-        b0s = [im.get_data().astype(np.float32) for im in imgs[index]]
-        b0 = np.average(np.array(b0s), axis=0)
+    # Run BET on mean b0 of TOPUP-corrected output
+    make_mean_b0_node = pe.Node(
+        niu.Function(
+            input_names=["in_file"],
+            output_names=["mean_file_out"],
+            function=core.make_mean_b0,
+            imports=import_list,
+        ),
+        name="make_mean_b0",
+    )
+    btr_node = pe.Node(fsl.BET(), name="bet")
+    btr_node.inputs.mask = True
+    btr_node.inputs.frac = 0.2
+    btr_node._mem_gb = 1
+
+    # Run EDDY
+    eddy_node = pe.Node(fsl_extensions.ExtendedEddy(**eddy_args), name="eddy")
+    eddy_node.inputs.num_threads = omp_nthreads
+    eddy_node._mem_gb = eddy_mem_gb
+    eddy_node.n_procs = omp_nthreads
+    eddy_node.interface.mem_gb = eddy_mem_gb
+    eddy_node.interface.n_procs = omp_nthreads
+
+    make_basename_node = pe.Node(
+        niu.Function(
+            input_names=["out_corrected"],
+            output_names=["base_name"],
+            function=core.make_basename,
+            imports=import_list,
+        ),
+        name="make_basename",
+    )
+    btr_node._mem_gb = 0.5
 
-        hdr = imgs[0].header.copy()
-        hdr.set_data_shape(b0.shape)
-        hdr.set_xyzt_units('mm')
-        hdr.set_data_dtype(np.float32)
-        nib.Nifti1Image(b0, imgs[0].affine, hdr).to_filename(out_file)
-        return out_file
+    # Handle gpu case
+    try:
+        if cuda.gpus:
+            eddy_node.inputs.use_cuda = True
+    except:
+        eddy_node.inputs.use_cuda = False
 
-    avg_b0_0 = pe.Node(
+    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name='eddy_quad')
+    eddy_quad.inputs.verbose = True
+    eddy_qc_outdir = sesdir + '/eddy_quad'
+    if os.path.isdir(eddy_qc_outdir):
+        shutil.rmtree(eddy_qc_outdir)
+    eddy_quad.inputs.output_dir = eddy_qc_outdir
+    eddy_quad._mem_gb = 1
+
+    make_gtab_node_final = pe.Node(
         niu.Function(
-            input_names=['in_dwi', 'in_bval', 'b0_thresh'],
-            output_names=['out_file'],
-            function=b0_average),
-        name='b0_avg_pre')
+            input_names=["fbval", "fbvec", "sesdir", "final"],
+            output_names=["gtab_file", "gtab", "final_bval_path", "final_bvec_path"],
+            function=core.make_gtab,
+            imports=import_list,
+        ),
+        name="make_gtab_final",
+    )
+    make_gtab_node_final.inputs.final = True
+    make_gtab_node_final._mem_gb = 1
 
-    avg_b0_0.inputs.b0_thresh = b0_thresh
+    apply_mask_node = pe.Node(fsl.ApplyMask(), name="apply_mask")
+    apply_mask_node._mem_gb = 1
 
-    bet_dwi0 = pe.Node(
-        fsl.BET(frac=bet_dwi, mask=True, robust=True), name='bet_dwi_pre'
+    id_outliers_from_eddy_report_node = pe.Node(
+        niu.Function(
+            input_names=["outlier_report", "threshold", "dwi_file"],
+            output_names=["drop_scans", "outpath"],
+            function=core.id_outliers_fn,
+            imports=import_list,
+        ),
+        name="id_outliers_from_eddy_report",
     )
+    id_outliers_from_eddy_report_node._mem_gb = 1
 
-    dwi_eddy_wf = init_dwi_eddy_wf(omp_nthreads, sdc_method)
+    drop_outliers_from_eddy_report_node = pe.Node(
+        niu.Function(
+            input_names=["in_file", "in_bval", "in_bvec", "drop_scans", "in_sigma"],
+            output_names=["out_file", "out_bval", "out_bvec", "out_sigma"],
+            function=core.drop_outliers_fn,
+            imports=import_list,
+        ),
+        name="drop_outliers_from_eddy_report",
+    )
+    drop_outliers_from_eddy_report_node._mem_gb = 1
 
-    # ecc = pe.Node(
-    #     fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
-    #     name='fsl_eddy')
-    # try:
-    #     if cuda.gpus:
-    #         ecc.inputs.use_cuda = True
-    # except:
-    #     ecc.inputs.use_cuda = False
+    denoise_node = pe.Node(
+        niu.Function(
+            input_names=["in_file", "sesdir", "gtab_file", "mask", "denoise_strategy", "sigma_path", "omp_nthreads"],
+            output_names=["denoised_file"],
+            function=core.denoise,
+            imports=import_list,
+        ),
+        name="denoise",
+    )
+    if denoise_strategy == 'nlsam':
+        denoise_node._mem_gb = omp_nthreads*6
+    else:
+        denoise_node._mem_gb = omp_nthreads*4
+    denoise_node.n_procs = omp_nthreads
 
-    denoise_eddy = pe.Node(mrtrix3.DWIDenoise(), name='denoise_eddy')
+    which('N4BiasFieldCorrection')
+    if which('N4BiasFieldCorrection') is not None:
+        no_ants = False
+    else:
+        print('Warning: could not import ANTS so N4BiasFieldCorrection cannot be performed.')
+        no_ants = True
 
-    eddy_quad = pe.Node(fsl.EddyQuad(verbose=True), name='eddy_quad')
+    rename_final_preprocessed_file_node = pe.Node(
+        niu.Function(
+            input_names=["in_file", "sesdir"],
+            output_names=["out_file"],
+            function=core.rename_final_preprocessed_file,
+            imports=import_list,
+        ),
+        name="rename_final_preprocessed_file",
+    )
 
-    get_path = lambda x: x.split('.nii.gz')[0].split('_fix')[0]
-    get_qc_path = lambda x: x.split('.nii.gz')[0] + '.qc'
+    outputnode = pe.Node(
+        niu.IdentityInterface(fields=["preprocessed_data", "final_bvec", "final_bval",
+                                      "out_eddy_quad_pdf", "out_eddy_quad_json"]),
+        name="outputnode",
+    )
 
-    fslroi = pe.Node(fsl.ExtractROI(t_min=0, t_size=1), name='fslroi')
+    wf.connect([(inputnode, check_orient_and_dims_dwi_node, [("fbvec", "bvecs"),
+                                                             ("dwi_file", "infile"),
+                                                             ("vox_size", "vox_size"),
+                                                             ("sesdir", "outdir")]),
+                (inputnode, correct_vecs_and_make_b0s_node, [("fbval", "fbval"),
+                                                             ("sesdir", "sesdir")]),
+                (check_orient_and_dims_dwi_node, correct_vecs_and_make_b0s_node, [("bvecs", "fbvec"),
+                                                                                  ("outfile", "dwi_file")]),
+                (correct_vecs_and_make_b0s_node, btr_node_premoco, [("initial_mean_b0", "in_file")]),
+                (btr_node_premoco, apply_mask_premoco_node, [("mask_file", "mask_file")]),
+                (check_orient_and_dims_dwi_node, apply_mask_premoco_node, [("outfile", "in_file")]),
+                (apply_mask_premoco_node, fsl_split_node, [("out_file", "in_file")]),
+                (correct_vecs_and_make_b0s_node, coreg, [("initial_mean_b0", "reference")]),
+                (fsl_split_node, coreg, [("out_files", "in_file")]),
+                (coreg, get_motion_params_node, [("out_matrix_file", "flirt_mats")]),
+                (coreg, fsl_merge_node, [("out_file", "in_files")]),
+                (get_motion_params_node, art_node, [("motion_params", "realignment_parameters")]),
+                (fsl_merge_node, art_node, [("merged_file", "realigned_files")]),
+                (check_orient_and_dims_dwi_node, drop_outliers_fn_node, [("bvecs", "in_bvec"),
+                                                                         ("outfile", "in_file")]),
+                (inputnode, drop_outliers_fn_node, [("fbval", "in_bval")]),
+                (art_node, drop_outliers_fn_node, [("outlier_files", "drop_scans")]),
+                (inputnode, estimate_noise_node, [("denoise_strategy", "denoise_strategy")]),
+                (drop_outliers_fn_node, make_gtab_node, [("out_bvec", "fbvec"),
+                                                         ("out_bval", "fbval")]),
+                (inputnode, make_gtab_node, [("sesdir", "sesdir")]),
+                (drop_outliers_fn_node, estimate_noise_node, [("out_file", "in_file")]),
+                (btr_node_premoco, estimate_noise_node, [("mask_file", "mask")]),
+                (make_gtab_node, estimate_noise_node, [("gtab_file", "gtab_file")]),
+                (inputnode, suppress_gibbs_node, [("sesdir", "sesdir")]),
+                (drop_outliers_fn_node, suppress_gibbs_node, [("out_file", "in_file")]),
+                (suppress_gibbs_node, eddy_node, [("gibbs_free_file", "in_file")]),
+                (inputnode, extract_metadata_node, [("metadata", "metadata")]),
+                (make_gtab_node, check_shelled_node, [("gtab_file", "gtab_file")]),
+                (inputnode, get_eddy_inputs_node, [("sesdir", "sesdir")]),
+                (make_gtab_node, get_eddy_inputs_node, [("gtab_file", "gtab_file")]),
+                (extract_metadata_node, get_eddy_inputs_node, [("spec_acqps", "spec_acqp")]),
+                (make_mean_b0_node, btr_node, [("mean_file_out", "in_file")]),
+                (check_shelled_node, eddy_node, [("check_shelled", "is_shelled")]),
+                (correct_vecs_and_make_b0s_node, eddy_node, [("slm", "slm")]),
+                (btr_node, eddy_node, [("mask_file", "in_mask")]),
+                (get_eddy_inputs_node, eddy_node, [("index_file", "in_index")]),
+                (drop_outliers_fn_node, eddy_node, [("out_bval", "in_bval"),
+                                                    ("out_bvec", "in_bvec")]),
+                (eddy_node, id_outliers_from_eddy_report_node, [("out_corrected", "dwi_file"),
+                                                                ("out_outlier_report", "outlier_report")]),
+                (inputnode, id_outliers_from_eddy_report_node, [("outlier_thresh", "threshold")]),
+                (id_outliers_from_eddy_report_node, drop_outliers_from_eddy_report_node, [("drop_scans", "drop_scans")]),
+                (eddy_node, drop_outliers_from_eddy_report_node, [("out_corrected", "in_file"),
+                                                                  ("out_rotated_bvecs", "in_bvec")]),
+                (estimate_noise_node, drop_outliers_from_eddy_report_node, [("sigma_path", "in_sigma")]),
+                (drop_outliers_fn_node, drop_outliers_from_eddy_report_node, [("out_bval", "in_bval")]),
+                (drop_outliers_from_eddy_report_node, apply_mask_node, [("out_file", "in_file")]),
+                (btr_node, apply_mask_node, [("mask_file", "mask_file")]),
+                (inputnode, denoise_node, [("sesdir", "sesdir"),
+                                           ('omp_nthreads', 'omp_nthreads'),
+                                           ("denoise_strategy", "denoise_strategy")]),
+                (drop_outliers_from_eddy_report_node, denoise_node, [("out_sigma", "sigma_path")]),
+                (btr_node, denoise_node, [("mask_file", "mask")]),
+                (make_gtab_node_final, denoise_node, [("gtab_file", "gtab_file")]),
+                (apply_mask_node, denoise_node, [("out_file", "in_file")]),
+                (drop_outliers_from_eddy_report_node, make_gtab_node_final, [("out_bvec", "fbvec")]),
+                (drop_outliers_from_eddy_report_node, make_gtab_node_final, [("out_bval", "fbval")]),
+                (inputnode, make_gtab_node_final, [("sesdir", "sesdir")]),
+                (make_gtab_node_final, outputnode, [("final_bvec_path", "final_bvec")]),
+                (inputnode, rename_final_preprocessed_file_node, [("sesdir", "sesdir")]),
+                (eddy_node, eddy_quad, [("out_rotated_bvecs", "bvec_file")]),
+                (eddy_node, make_basename_node, [("out_corrected", "out_corrected")]),
+                (make_basename_node, eddy_quad, [("base_name", "base_name")]),
+                (drop_outliers_fn_node, eddy_quad, [("out_bval", "bval_file")]),
+                (make_gtab_node_final, outputnode, [("final_bval_path", "final_bval")]),
+                (btr_node, eddy_quad, [("mask_file", "mask_file")]),
+                (get_eddy_inputs_node, eddy_quad, [("index_file", "idx_file")]),
+                (eddy_quad, outputnode, [('qc_json', 'out_eddy_quad_json'),
+                                         ('qc_pdf', 'out_eddy_quad_pdf')])
+                ])
+
+    if no_ants is True:
+        wf.connect([
+            (denoise_node, rename_final_preprocessed_file_node, [("denoised_file", "in_file")]),
+            (rename_final_preprocessed_file_node, outputnode, [("out_file", "preprocessed_data")])
+        ])
+    else:
+        from nipype.interfaces import ants
+        n4 = pe.Node(ants.N4BiasFieldCorrection(dimension=3, save_bias=True,
+                                                bspline_fitting_distance=600, bspline_order=4,
+                                                n_iterations=[50, 50, 40, 30], shrink_factor=2,
+                                                convergence_threshold=1e-6),
+                     name='Bias_b0')
+        n4.inputs.num_threads = omp_nthreads
+        n4.n_procs = omp_nthreads
+        n4._mem_gb = omp_nthreads*4
+        n4.interface.n_procs = omp_nthreads
+        n4.interface.mem_gb = omp_nthreads*4
+
+        split = pe.Node(fsl.Split(dimension='t'), name='SplitDWIs')
+        split._mem_gb = 1
+        mult = pe.MapNode(fsl.MultiImageMaths(op_string='-div %s'), iterfield=['in_file'],
+                          name='RemoveBiasOfDWIs')
+        mult._mem_gb = 1
+        thres = pe.MapNode(fsl.Threshold(thresh=0.0), iterfield=['in_file'], name='RemoveNegative')
+        thres._mem_gb = 1
+        merge = pe.Node(fsl.utils.Merge(dimension='t'), name='MergeDWIs')
+        merge._mem_gb = 1
+
+        wf.connect([
+            (denoise_node, split, [("denoised_file", "in_file")]),
+            (make_mean_b0_node, n4, [("mean_file_out", 'input_image')]),
+            (btr_node, n4, [("mask_file", 'mask_image')]),
+            (n4, mult, [('bias_image', 'operand_files')]),
+            (split, mult, [('out_files', 'in_file')]),
+            (mult, thres, [('out_file', 'in_file')]),
+            (thres, merge, [('out_file', 'in_files')]),
+            (merge, rename_final_preprocessed_file_node, [('merged_file', "in_file")]),
+            (rename_final_preprocessed_file_node, outputnode, [("out_file", "preprocessed_data")])
+        ])
 
-    bias_correct = pe.Node(mrtrix3.DWIBiasCorrect(use_ants=True), name='bias_correct')
+    # TODO: Flesh out the sdc-fieldmap option
+    # if sdc_method == 'fieldmap':
+    #     wf.connect([
+    #         (inputnode, eddy_node, [('fieldmap_file', 'field')])
+    #     ])
+
+    if sdc_method == 'topup':
+        wf.connect([
+            (drop_outliers_fn_node, get_topup_inputs_node, [("out_file", "dwi_file")]),
+            (inputnode, get_topup_inputs_node, [("sesdir", "sesdir")]),
+            (correct_vecs_and_make_b0s_node, get_topup_inputs_node, [("b0_vols", "b0_vols"),
+                                                                     ("b0s", "b0s")]),
+            (extract_metadata_node, get_topup_inputs_node, [("spec_acqps", "spec_acqp"),
+                                                            ("vol_legend", "vol_legend")]),
+            (get_topup_inputs_node, topup_node, [("datain_file", "encoding_file"),
+                                                 ("imain_output", "in_file"),
+                                                 ("topup_config", "config")]),
+            (topup_node, make_mean_b0_node, [("out_corrected", "in_file")]),
+            (topup_node, eddy_node, [("out_movpar", "in_topup_movpar"),
+                                     ("out_fieldcoef", "in_topup_fieldcoef")]),
+            (get_topup_inputs_node, eddy_node, [("datain_file", "in_acqp"), ("susceptibility_args", "args")]),
+            (topup_node, eddy_quad, [("out_field", "field")]),
+            (get_topup_inputs_node, eddy_quad, [("datain_file", "param_file")]),
+        ])
 
-    def get_b0_mask_fn(b0_file):
-        import os
-        import nibabel as nib
-        from nipype.utils.filemanip import fname_presuffix
-        from dipy.segment.mask import median_otsu
+    return wf
 
-        mask_file = fname_presuffix(
-            b0_file, suffix='_mask', newpath=os.path.abspath('.')
-        )
-        img = nib.load(b0_file)
-        data, aff = img.get_data(), img.affine
-        _, mask = median_otsu(data, 2, 1)
-        nib.Nifti1Image(mask.astype(float), aff).to_filename(mask_file)
-        return mask_file
 
-    b0mask_node = pe.Node(
-        niu.Function(
-            input_names=['b0_file'], output_names=['mask_file'], function=get_b0_mask_fn),
-        name='getB0Mask')
-
-    dwi_tensor_wf = init_dwi_tensor_wf()
-
-    dwi_wf.connect([
-        (inputnode, gen_idx, [('dwi_file', 'in_file')]),
-        (inputnode, acqp, [('dwi_file', 'in_file'), ('dwi_meta', 'metadata')]),
-        (inputnode, dwi_artifacts_wf, [('dwi_file', 'inputnode.dwi_file')]),
-        (dwi_artifacts_wf, avg_b0_0, [('outputnode.out_file', 'in_dwi')]),
-        (dwi_artifacts_wf, dwi_eddy_wf, [('outputnode.out_file', 'inputnode.dwi_file')]),
-        (inputnode, avg_b0_0, [('bval_file', 'in_bval')]),
-        (avg_b0_0, bet_dwi0, [('out_file', 'in_file')]),
-        (inputnode, dwi_eddy_wf, [('bval_file', 'inputnode.bval_file'),
-                                  ('bvec_file', 'inputnode.bvec_file')]),
-        (bet_dwi0, dwi_eddy_wf, [('mask_file', 'inputnode.mask_file')]),
-        (gen_idx, dwi_eddy_wf, [('out_file', 'inputnode.index')]),
-        (dwi_eddy_wf, denoise_eddy, [('outputnode.out_file', 'in_file')]),
-        (dwi_eddy_wf, bias_correct, [('outputnode.out_file', 'in_file'),
-                                 ('outputnode.out_bvec', 'in_bvec')]),
-        (inputnode, bias_correct, [('bval_file', 'in_bval')]),
-        (bias_correct, fslroi, [('out_file', 'in_file')]),
-        (fslroi, b0mask_node, [('roi_file', 'b0_file')]),
-        (dwi_eddy_wf, eddy_quad, [(('outputnode.out_file', get_path), 'base_name'),
-                                  (('outputnode.out_file', get_qc_path), 'output_dir'),
-                                  ('outputnode.out_bvec', 'bvec_file')]),
-        (inputnode, eddy_quad, [('bval_file', 'bval_file')]),
-        (b0mask_node, eddy_quad, [('mask_file', 'mask_file')]),
-        (gen_idx, eddy_quad, [('out_file', 'idx_file')]),
-        (inputnode, dwi_tensor_wf, [('bval_file', 'inputnode.bval_file')]),
-        (b0mask_node, dwi_tensor_wf, [('mask_file', 'inputnode.mask_file')]),
-        (dwi_eddy_wf, dwi_tensor_wf, [('outputnode.out_file', 'inputnode.dwi_file'),
-                                      ('outputnode.out_bvec', 'inputnode.bvec_file')])
-    ])
-
-    if acqp_file:
-        eddy_inputspec = dwi_eddy_wf.get_node('inputnode')
-        eddy_inputspec.inputs.acqp = acqp_file
-        eddy_quad.inputs.param_file = acqp_file
+def init_base_wf(
+    bids_dict,
+    output_dir,
+    sdc_method,
+    denoise_strategy,
+    vox_size,
+    outlier_thresh,
+    omp_nthreads,
+    work_dir
+):
+    import os
+    import nibabel as nib
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import utility as niu
+    from dmriprep.workflows.dwi.base import init_dwi_preproc_wf, wf_multi_session
+    from dmriprep.workflows.dwi.util import init_dwi_concat_wf
+    from dmriprep.utils import core
+
+    participant = list(bids_dict.keys())[0]
+    sessions = list(bids_dict[participant].keys())
+
+    # Multiple sessions case
+    if len(sessions) > 1:
+        wf = wf_multi_session(bids_dict,
+                              participant,
+                              sessions,
+                              output_dir,
+                              sdc_method,
+                              denoise_strategy,
+                              vox_size,
+                              outlier_thresh,
+                              omp_nthreads,
+                              work_dir)
     else:
-        dwi_wf.connect([
-            (acqp, dwi_eddy_wf, [('out_file', 'inputnode.acqp')]),
-            (acqp, eddy_quad, [('out_file', 'param_file')])
-        ])
+        # Single session case
+        session = sessions[0]
+        if len(bids_dict[participant][session].keys()) == 1:
+            dwi_file = bids_dict[participant][session][1]['dwi_file']
+            fbvec = bids_dict[participant][session][1]['fbvec']
+            fbval = bids_dict[participant][session][1]['fbval']
+            metadata = bids_dict[participant][session][1]['metadata']
+
+            dwi_img = nib.load(dwi_file)
+            if vox_size == '2mm':
+                res_factor = dwi_img.header.get_zooms()[1]/2
+            elif vox_size == '1mm':
+                res_factor = dwi_img.header.get_zooms()[1]/1
+            else:
+                res_factor = 1
+            exp_bytes = res_factor * 24 * dwi_img.shape[0] * dwi_img.shape[1] * dwi_img.shape[2] * dwi_img.shape[3]
+            eddy_mem_gb = core.bytesto(exp_bytes, to='g', bsize=1024)
+
+            wf = init_dwi_preproc_wf(participant,
+                                     session,
+                                     dwi_file,
+                                     fbval,
+                                     fbvec,
+                                     metadata,
+                                     output_dir,
+                                     sdc_method,
+                                     denoise_strategy,
+                                     vox_size,
+                                     outlier_thresh,
+                                     omp_nthreads,
+                                     eddy_mem_gb)
+        else:
+            # Multiple runs case
+            dwi_files = []
+            fbvecs = []
+            fbvals = []
+            metadata_files = []
+            for acq in bids_dict[participant][session].keys():
+                dwi_files.append(bids_dict[participant][session][acq]['dwi_file'])
+                fbvecs.append(bids_dict[participant][session][acq]['fbvec'])
+                fbvals.append(bids_dict[participant][session][acq]['fbval'])
+                metadata_files.append(bids_dict[participant][session][acq]['metadata'])
+
+            wf_multi_run_name = "%s%s%s%s" % ('wf_multi_run_', participant, '_', session)
+            wf = pe.Workflow(name=wf_multi_run_name)
+            wf.base_dir = work_dir + '/' + wf_multi_run_name
+            if not os.path.isdir(wf.base_dir):
+                os.mkdir(wf.base_dir)
+
+            dwi_img = nib.load(dwi_files[0])
+            if vox_size == '2mm':
+                res_factor = dwi_img.header.get_zooms()[1]/2
+            elif vox_size == '1mm':
+                res_factor = dwi_img.header.get_zooms()[1]/1
+            else:
+                res_factor = 1
+            exp_bytes = res_factor * 24 * dwi_img.shape[0] * dwi_img.shape[1] * dwi_img.shape[2] * dwi_img.shape[3]
+            eddy_mem_gb = core.bytesto(exp_bytes, to='g', bsize=1024)
+
+            meta_inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_files",
+                                                                   "fbvecs",
+                                                                   "fbvals",
+                                                                   "metadata_files",
+                                                                   "sub",
+                                                                   "ses",
+                                                                   "output_dir",
+                                                                   "sdc_method",
+                                                                   "denoise_strategy",
+                                                                   "vox_size",
+                                                                   "outlier_thresh",
+                                                                   "omp_nthreads",
+                                                                   "eddy_mem_gb"]),
+                                     name='meta_inputnode')
+
+            meta_inputnode.inputs.dwi_files = dwi_files
+            meta_inputnode.inputs.fbvecs = fbvecs
+            meta_inputnode.inputs.fbvals = fbvals
+            meta_inputnode.inputs.metadata_files = metadata_files
+            meta_inputnode.inputs.sub = participant
+            meta_inputnode.inputs.ses = session
+            meta_inputnode.inputs.output_dir = output_dir
+            meta_inputnode.inputs.sdc_method = sdc_method
+            meta_inputnode.inputs.denoise_strategy = denoise_strategy
+            meta_inputnode.inputs.vox_size = vox_size
+            meta_inputnode.inputs.outlier_thresh = outlier_thresh
+            meta_inputnode.inputs.omp_nthreads = omp_nthreads
+            meta_inputnode.inputs.eddy_mem_gb = eddy_mem_gb
+
+            wf_concat = init_dwi_concat_wf(dwi_files, fbvals, fbvecs, metadata_files, participant, session, output_dir)
+
+            wf_dwi_preproc = init_dwi_preproc_wf(participant,
+                                                 session,
+                                                 dwi_files[0],
+                                                 fbvals[0],
+                                                 fbvecs[0],
+                                                 metadata_files[0],
+                                                 output_dir,
+                                                 sdc_method,
+                                                 denoise_strategy,
+                                                 vox_size,
+                                                 outlier_thresh,
+                                                 omp_nthreads,
+                                                 eddy_mem_gb)
+
+            meta_outputnode = pe.Node(
+                niu.IdentityInterface(fields=["preprocessed_data", "final_bvec", "final_bval",
+                                              "out_eddy_quad_json", "out_eddy_quad_pdf"]),
+                name="meta_outputnode",
+            )
+            wf.add_nodes([meta_inputnode])
+            wf.add_nodes([wf_concat])
+            wf.add_nodes([wf_dwi_preproc])
+            wf.add_nodes([meta_outputnode])
+
+            wf.connect([(meta_inputnode, wf.get_node('dwi_concat_wf').get_node('inputnode'),
+                         [('dwi_files', 'dwi_files'),
+                          ('fbvecs', 'fbvecs'),
+                          ('fbvals', 'fbvals'),
+                          ('metadata_files', 'metadata_files'),
+                          ('sub', 'participant'),
+                          ('ses', 'session'),
+                          ('output_dir', 'output_dir')]),
+                        (wf.get_node('dwi_concat_wf').get_node('outputnode'), wf_dwi_preproc.get_node('inputnode'),
+                         [('dwi_file', 'dwi_file'),
+                          ('bvec_file', 'fbvec'),
+                          ('bval_file', 'fbval'),
+                          ('metadata_file', 'metadata')]),
+                        (meta_inputnode, wf_dwi_preproc.get_node('inputnode'),
+                         [('sub', 'participant'),
+                          ('ses', 'session'),
+                          ('output_dir', 'output_dir'),
+                          ('sdc_method', 'sdc_method'),
+                          ('denoise_strategy', 'denoise_strategy'),
+                          ('vox_size', 'vox_size'),
+                          ('outlier_thresh', 'outlier_thresh'),
+                          ('omp_nthreads', 'omp_nthreads'),
+                          ('eddy_mem_gb', 'eddy_mem_gb')]),
+                        (wf_dwi_preproc.get_node('outputnode'), meta_outputnode,
+                         [("final_bval", "final_bval"),
+                          ("preprocessed_data", "preprocessed_data"),
+                          ("final_bvec", "final_bvec"),
+                          ("out_eddy_quad_json", "out_eddy_quad_json"),
+                          ("out_eddy_quad_pdf", "out_eddy_quad_pdf")])
+                    ])
+
+            wf.get_node(wf_dwi_preproc.name).get_node('check_orient_and_dims_dwi_node')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('correct_vecs_and_make_b0s')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('bet_pre_moco')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('bet_pre_moco').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('apply_mask_pre_moco')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('apply_mask_pre_moco').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('fsl_split')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('fsl_split').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('coregistration')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('coregistration').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('get_motion_params')._mem_gb = 0.5
+            wf.get_node(wf_dwi_preproc.name).get_node('fsl_merge')._mem_gb = 2
+            wf.get_node(wf_dwi_preproc.name).get_node('fsl_merge').interface._mem_gb = 2
+            wf.get_node(wf_dwi_preproc.name).get_node('art')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('art').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('drop_outliers_fn')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('make_gtab')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('extract_metadata')._mem_gb = 0.5
+            wf.get_node(wf_dwi_preproc.name).get_node('check_shelled')._mem_gb = 0.5
+            wf.get_node(wf_dwi_preproc.name).get_node('get_topup_inputs')._mem_gb = 0.5
+            wf.get_node(wf_dwi_preproc.name).get_node('get_eddy_inputs')._mem_gb = 0.5
+            wf.get_node(wf_dwi_preproc.name).get_node('make_mean_b0')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('make_basename')._mem_gb = 0.5
+            wf.get_node(wf_dwi_preproc.name).get_node('eddy_quad')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('eddy_quad').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('make_gtab_final')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('apply_mask')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('apply_mask').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('id_outliers_from_eddy_report')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('drop_outliers_from_eddy_report')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('SplitDWIs')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('SplitDWIs').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('RemoveBiasOfDWIs')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('RemoveBiasOfDWIs').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('RemoveNegative')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('RemoveNegative').interface._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('MergeDWIs')._mem_gb = 1
+            wf.get_node(wf_dwi_preproc.name).get_node('MergeDWIs').interface._mem_gb = 1
+
+            wf.get_node(wf_dwi_preproc.name).get_node('topup')._n_procs = 8
+            wf.get_node(wf_dwi_preproc.name).get_node('topup')._mem_gb = 14
+            wf.get_node(wf_dwi_preproc.name).get_node('topup').interface.n_procs = 8
+            wf.get_node(wf_dwi_preproc.name).get_node('topup').interface.mem_gb = 14
+            wf.get_node(wf_dwi_preproc.name).get_node('Bias_b0')._n_procs = omp_nthreads
+            wf.get_node(wf_dwi_preproc.name).get_node('Bias_b0')._mem_gb = omp_nthreads*4
+            wf.get_node(wf_dwi_preproc.name).get_node('Bias_b0').interface.n_procs = omp_nthreads
+            wf.get_node(wf_dwi_preproc.name).get_node('Bias_b0').interface.mem_gb = omp_nthreads*4
+            wf.get_node(wf_dwi_preproc.name).get_node('eddy')._n_procs = omp_nthreads
+            wf.get_node(wf_dwi_preproc.name).get_node('eddy')._mem_gb = eddy_mem_gb
+            wf.get_node(wf_dwi_preproc.name).get_node('eddy').interface.n_procs = omp_nthreads
+            wf.get_node(wf_dwi_preproc.name).get_node('eddy').interface.mem_gb = eddy_mem_gb
+            wf.get_node(wf_dwi_preproc.name).get_node('suppress_gibbs')._n_procs = 6
+            wf.get_node(wf_dwi_preproc.name).get_node('suppress_gibbs')._mem_gb = 12
+            wf.get_node(wf_dwi_preproc.name).get_node('estimate_noise')._n_procs = omp_nthreads
+            wf.get_node(wf_dwi_preproc.name).get_node('estimate_noise')._mem_gb = omp_nthreads*2
+            wf.get_node(wf_dwi_preproc.name).get_node('denoise')._n_procs = omp_nthreads
+            if denoise_strategy == 'nlsam':
+                wf.get_node(wf_dwi_preproc.name).get_node('denoise')._mem_gb = omp_nthreads*6
+            else:
+                wf.get_node(wf_dwi_preproc.name).get_node('denoise')._mem_gb = omp_nthreads*4
+
+
+        cfg = dict(execution={'stop_on_first_crash': False, 'crashfile_format': 'txt', 'parameterize_dirs': True,
+                              'display_variable': ':0', 'job_finished_timeout': 120, 'matplotlib_backend': 'Agg',
+                              'plugin': 'MultiProc', 'use_relative_paths': True, 'remove_unnecessary_outputs': False,
+                              'remove_node_directories': False})
+        for key in cfg.keys():
+            for setting, value in cfg[key].items():
+                wf.config[key][setting] = value
+
+    return wf
+
+
+# Multi-session pipeline
+def wf_multi_session(bids_dict,
+                     participant,
+                     sessions,
+                     output_dir,
+                     sdc_method,
+                     denoise_strategy,
+                     vox_size,
+                     outlier_thresh,
+                     omp_nthreads,
+                     work_dir):
+    """A function interface for generating multiple single-session workflows -- i.e. a 'multi-session' workflow"""
+    import os
+    import nibabel as nib
+    from nipype.pipeline import engine as pe
+    from nipype.interfaces import utility as niu
+    from dmriprep.workflows.dwi.base import init_dwi_preproc_wf
+    from dmriprep.workflows.dwi.util import init_dwi_concat_wf
+    from dmriprep.utils import core
+
+    wf_multi_session_name = "%s%s%s" % ('wf_multi_session_', participant, '_multi_session')
+    wf_multi = pe.Workflow(name=wf_multi_session_name)
+    wf_multi.base_dir = work_dir + '/' + wf_multi_session_name
+    if not os.path.isdir(wf_multi.base_dir):
+        os.mkdir(wf_multi.base_dir)
+
+    i = 0
+    if len(bids_dict[participant][sessions[0]].keys()) == 1:
+        for session in sessions:
+            dwi_file = bids_dict[participant][session][1]['dwi_file']
+            dwi_img = nib.load(dwi_file)
+            if vox_size == '2mm':
+                res_factor=dwi_img.header.get_zooms()[1]/2
+            elif vox_size == '1mm':
+                res_factor = dwi_img.header.get_zooms()[1]/1
+            else:
+                res_factor = 1
+            exp_bytes = res_factor * 24 * dwi_img.shape[0] * dwi_img.shape[1] * dwi_img.shape[2] * dwi_img.shape[3]
+            eddy_mem_gb = core.bytesto(exp_bytes, to='g', bsize=1024)
+            fbvec = bids_dict[participant][session][1]['fbvec']
+            fbval = bids_dict[participant][session][1]['fbval']
+            metadata = bids_dict[participant][session][1]['metadata']
+            wf = init_dwi_preproc_wf(participant,
+                                     session,
+                                     dwi_file,
+                                     fbval,
+                                     fbvec,
+                                     metadata,
+                                     output_dir,
+                                     sdc_method,
+                                     denoise_strategy,
+                                     vox_size,
+                                     outlier_thresh,
+                                     omp_nthreads,
+                                     eddy_mem_gb)
+            wf_multi.add_nodes([wf])
+            i = i + 1
+
+        wf_multi.get_node(wf.name).get_node('check_orient_and_dims_dwi_node')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('correct_vecs_and_make_b0s')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('bet_pre_moco')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('bet_pre_moco').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('apply_mask_pre_moco')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('apply_mask_pre_moco').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('fsl_split')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('fsl_split').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('coregistration')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('coregistration').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('get_motion_params')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node('fsl_merge')._mem_gb = 2
+        wf_multi.get_node(wf.name).get_node('fsl_merge').interface._mem_gb = 2
+        wf_multi.get_node(wf.name).get_node('art')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('art').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('drop_outliers_fn')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('make_gtab')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('extract_metadata')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node('check_shelled')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node('get_topup_inputs')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node('get_eddy_inputs')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node('make_mean_b0')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('make_basename')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node('eddy_quad')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('eddy_quad').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('make_gtab_final')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('apply_mask')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('apply_mask').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('id_outliers_from_eddy_report')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('drop_outliers_from_eddy_report')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('SplitDWIs')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('SplitDWIs').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('RemoveBiasOfDWIs')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('RemoveBiasOfDWIs').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('RemoveNegative')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('RemoveNegative').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('MergeDWIs')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node('MergeDWIs').interface._mem_gb = 1
+
+        wf_multi.get_node(wf.name).get_node('topup')._n_procs = 8
+        wf_multi.get_node(wf.name).get_node('topup')._mem_gb = 14
+        wf_multi.get_node(wf.name).get_node('topup').interface.n_procs = 8
+        wf_multi.get_node(wf.name).get_node('topup').interface.mem_gb = 14
+        wf_multi.get_node(wf.name).get_node('Bias_b0')._n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node('Bias_b0')._mem_gb = omp_nthreads*4
+        wf_multi.get_node(wf.name).get_node('Bias_b0').interface.n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node('Bias_b0').interface.mem_gb = omp_nthreads*4
+        wf_multi.get_node(wf.name).get_node('eddy')._n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node('eddy')._mem_gb = eddy_mem_gb
+        wf_multi.get_node(wf.name).get_node('eddy').interface.n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node('eddy').interface.mem_gb = eddy_mem_gb
+        wf_multi.get_node(wf.name).get_node('suppress_gibbs')._n_procs = 6
+        wf_multi.get_node(wf.name).get_node('suppress_gibbs')._mem_gb = 12
+        wf_multi.get_node(wf.name).get_node('estimate_noise')._n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node('estimate_noise')._mem_gb = omp_nthreads*2
+        wf_multi.get_node(wf.name).get_node('denoise')._n_procs = omp_nthreads
+        if denoise_strategy == 'nlsam':
+            wf_multi.get_node(wf.name).get_node('denoise')._mem_gb = omp_nthreads*6
+        else:
+            wf_multi.get_node(wf.name).get_node('denoise')._mem_gb = omp_nthreads*4
 
-    # # If synb0 is meant to be used
-    # if synb0_dir:
-    #     dwi_wf.connect(
-    #         [
-    #             (
-    #                 sdc_wf,
-    #                 ecc,
-    #                 [
-    #                     ('outputnode.out_topup', 'in_topup_fieldcoef'),
-    #                     ('outputnode.out_movpar', 'in_topup_movpar'),
-    #                 ],
-    #             ),
-    #             (
-    #                 sdc_wf,
-    #                 eddy_quad,
-    #                 [('outputnode.out_enc_file', 'param_file')],
-    #             ),
-    #         ]
-    #     )
-    #     ecc.inputs.in_acqp = acqp_file
-    # else:
-    # Decide what ecc will take: topup or fmap
-    # Else If epi files detected
-    if fmaps:
-        if fmap['suffix'] == 'epi':
-            dwi_wf.connect([
-                (dwi_sdc_wf, dwi_eddy_wf, [('outputnode.out_topup', 'inputnode.topup_fieldcoef'),
-                                           ('outputnode.out_movpar', 'inputnode.topup_movpar')])
-            ])
-    # Otherwise (fieldmaps)
-        if any(s in fmap['suffix'] for s in ['fieldmap', 'phasediff', 'phase1']):
-            dwi_wf.connect([
-                (bet_dwi0, dwi_sdc_wf, [('out_file', 'inputnode.b0_stripped')]),
-                (dwi_sdc_wf, dwi_eddy_wf, [('outputnode.out_fmap', 'inputnode.fieldmap_file')])
-            ])
-
-    dwi_wf.connect([
-        (dwi_eddy_wf, outputnode, [('outputnode.out_file', 'out_dwi')]),
-        (inputnode, outputnode, [('bval_file', 'out_bval')]),
-        (dwi_eddy_wf, outputnode, [('outputnode.out_bvec', 'out_bvec')]),
-        (gen_idx, outputnode, [('out_file', 'index')]),
-        (acqp, outputnode, [('out_file', 'acq_params')]),
-        (b0mask_node, outputnode, [('mask_file', 'out_mask')]),
-        (avg_b0_0, outputnode, [('out_file', 'out_b0_pre')]),
-        (bet_dwi0, outputnode, [('mask_file', 'out_b0_mask_pre')]),
-        (eddy_quad, outputnode, [('qc_json', 'out_eddy_quad_json'),
-                                 ('qc_pdf', 'out_eddy_quad_pdf')]),
-        (dwi_tensor_wf, outputnode, [('outputnode.FA_file', 'out_dtifit_FA'),
-                                     ('outputnode.MD_file', 'out_dtifit_MD'),
-                                     ('outputnode.AD_file', 'out_dtifit_AD'),
-                                     ('outputnode.RD_file', 'out_dtifit_RD'),
-                                     ('outputnode.V1_file', 'out_dtifit_V1'),
-                                     ('outputnode.sse_file', 'out_dtifit_sse')])
-    ])
-
-    return dwi_wf
-
-
-def _get_wf_name(dwi_fname):
-    """
-    Derives the workflow name from the supplied dwi file.
-    """
-
-    from nipype.utils.filemanip import split_filename
-
-    fname = split_filename(dwi_fname)[1]
-    fname_nosub = '_'.join(fname.split('_')[1:])
-    name = 'dwi_preproc_' + fname_nosub.replace('.', '_').replace(' ', '').replace(
-        '-', '_'
-    ).replace('_dwi', '_wf')
-
-    return name
+    else:
+        for session in sessions:
+            dwi_files = []
+            fbvecs = []
+            fbvals = []
+            metadata_files = []
+            for acq in bids_dict[participant][session].keys():
+                dwi_files.append(bids_dict[participant][session][acq]['dwi_file'])
+                fbvecs.append(bids_dict[participant][session][acq]['fbvec'])
+                fbvals.append(bids_dict[participant][session][acq]['fbval'])
+                metadata_files.append(bids_dict[participant][session][acq]['metadata'])
+
+            wf_multi_run_name = "%s%s%s%s%s%s" % ('wf_multi_run_', participant, '_', session, '_', acq)
+            wf = pe.Workflow(name=wf_multi_run_name)
+            wf.base_dir = work_dir + '/' + wf_multi_run_name
+            if not os.path.isdir(wf.base_dir):
+                os.mkdir(wf.base_dir)
+
+            dwi_img = nib.load(dwi_files[0])
+            if vox_size == '2mm':
+                res_factor=dwi_img.header.get_zooms()[1]/2
+            elif vox_size == '1mm':
+                res_factor = dwi_img.header.get_zooms()[1]/1
+            else:
+                res_factor = 1
+            exp_bytes = res_factor * 24 * dwi_img.shape[0] * dwi_img.shape[1] * dwi_img.shape[2] * dwi_img.shape[3]
+            eddy_mem_gb = core.bytesto(exp_bytes, to='g', bsize=1024)
+
+            meta_inputnode = pe.Node(niu.IdentityInterface(fields=["dwi_files",
+                                                                   "fbvecs",
+                                                                   "fbvals",
+                                                                   "metadata_files",
+                                                                   "sub",
+                                                                   "ses",
+                                                                   "output_dir",
+                                                                   "sdc_method",
+                                                                   "denoise_strategy",
+                                                                   "vox_size",
+                                                                   "outlier_thresh",
+                                                                   "omp_nthreads",
+                                                                   "eddy_mem_gb"]),
+                                     name='meta_inputnode')
+
+            meta_inputnode.inputs.dwi_files = dwi_files
+            meta_inputnode.inputs.fbvecs = fbvecs
+            meta_inputnode.inputs.fbvals = fbvals
+            meta_inputnode.inputs.metadata_files = metadata_files
+            meta_inputnode.inputs.sub = participant
+            meta_inputnode.inputs.ses = session
+            meta_inputnode.inputs.output_dir = output_dir
+            meta_inputnode.inputs.sdc_method = sdc_method
+            meta_inputnode.inputs.denoise_strategy = denoise_strategy
+            meta_inputnode.inputs.vox_size = vox_size
+            meta_inputnode.inputs.outlier_thresh = outlier_thresh
+            meta_inputnode.inputs.omp_nthreads = omp_nthreads
+            meta_inputnode.inputs.eddy_mem_gb = eddy_mem_gb
+
+            wf_concat = init_dwi_concat_wf(dwi_files, fbvals, fbvecs, metadata_files, participant, session, output_dir)
+
+            wf_dwi_preproc = init_dwi_preproc_wf(participant,
+                                                 session,
+                                                 dwi_files[0],
+                                                 fbvals[0],
+                                                 fbvecs[0],
+                                                 metadata_files[0],
+                                                 output_dir,
+                                                 sdc_method,
+                                                 denoise_strategy,
+                                                 vox_size,
+                                                 outlier_thresh,
+                                                 omp_nthreads,
+                                                 eddy_mem_gb)
+
+            meta_outputnode = pe.Node(
+                niu.IdentityInterface(fields=["preprocessed_data", "final_bvec", "final_bval",
+                                              "out_eddy_quad_json", "out_eddy_quad_pdf"]),
+                name="meta_outputnode",
+            )
+            wf.add_nodes([meta_inputnode])
+            wf.add_nodes([wf_concat])
+            wf.add_nodes([wf_dwi_preproc])
+            wf.add_nodes([meta_outputnode])
+
+            wf.connect([(meta_inputnode, wf.get_node('dwi_concat_wf').get_node('inputnode'),
+                         [('dwi_files', 'dwi_files'),
+                          ('fbvecs', 'fbvecs'),
+                          ('fbvals', 'fbvals'),
+                          ('metadata_files', 'metadata_files'),
+                          ('sub', 'participant'),
+                          ('ses', 'session'),
+                          ('output_dir', 'output_dir')]),
+                        (wf.get_node('dwi_concat_wf').get_node('outputnode'), wf_dwi_preproc.get_node('inputnode'),
+                         [('dwi_file', 'dwi_file'),
+                          ('bvec_file', 'fbvec'),
+                          ('bval_file', 'fbval'),
+                          ('metadata_file', 'metadata')]),
+                        (meta_inputnode, wf_dwi_preproc.get_node('inputnode'),
+                         [('sub', 'participant'),
+                          ('ses', 'session'),
+                          ('output_dir', 'output_dir'),
+                          ('sdc_method', 'sdc_method'),
+                          ('denoise_strategy', 'denoise_strategy'),
+                          ('vox_size', 'vox_size'),
+                          ('outlier_thresh', 'outlier_thresh'),
+                          ('omp_nthreads', 'omp_nthreads'),
+                          ('eddy_mem_gb', 'eddy_mem_gb')]),
+                        (wf_dwi_preproc.get_node('outputnode'), meta_outputnode,
+                         [("final_bval", "final_bval"),
+                          ("preprocessed_data", "preprocessed_data"),
+                          ("final_bvec", "final_bvec"),
+                          ("out_eddy_quad_json", "out_eddy_quad_json"),
+                          ("out_eddy_quad_pdf", "out_eddy_quad_pdf")])
+                    ])
+
+            wf_multi.add_nodes([wf])
+            i = i + 1
+
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('check_orient_and_dims_dwi_node')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('correct_vecs_and_make_b0s')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('bet_pre_moco')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('bet_pre_moco').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('apply_mask_pre_moco')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('apply_mask_pre_moco').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('fsl_split')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('fsl_split').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('coregistration')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('coregistration').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('get_motion_params')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('fsl_merge')._mem_gb = 2
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('fsl_merge').interface._mem_gb = 2
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('art')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('art').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('drop_outliers_fn')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('make_gtab')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('extract_metadata')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('check_shelled')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('get_topup_inputs')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('get_eddy_inputs')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('make_mean_b0')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('make_basename')._mem_gb = 0.5
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('eddy_quad')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('eddy_quad').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('make_gtab_final')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('apply_mask')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('apply_mask').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('id_outliers_from_eddy_report')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('drop_outliers_from_eddy_report')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('SplitDWIs')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('SplitDWIs').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('RemoveBiasOfDWIs')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('RemoveBiasOfDWIs').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('RemoveNegative')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('RemoveNegative').interface._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('MergeDWIs')._mem_gb = 1
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('MergeDWIs').interface._mem_gb = 1
+
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('topup')._n_procs = 8
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('topup')._mem_gb = 14
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('topup').interface.n_procs = 8
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('topup').interface.mem_gb = 14
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('Bias_b0')._n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('Bias_b0')._mem_gb = omp_nthreads*4
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('Bias_b0').interface.n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('Bias_b0').interface.mem_gb = omp_nthreads*4
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('eddy')._n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('eddy')._mem_gb = eddy_mem_gb
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('eddy').interface.n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('eddy').interface.mem_gb = eddy_mem_gb
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('suppress_gibbs')._n_procs = 6
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('suppress_gibbs')._mem_gb = 12
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('estimate_noise')._n_procs = omp_nthreads
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('estimate_noise')._mem_gb = omp_nthreads*2
+        wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('denoise')._n_procs = omp_nthreads
+        if denoise_strategy == 'nlsam':
+            wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('denoise')._mem_gb = omp_nthreads*6
+        else:
+            wf_multi.get_node(wf.name).get_node(wf_dwi_preproc.name).get_node('denoise')._mem_gb = omp_nthreads*4
+
+        cfg = dict(execution={'stop_on_first_crash': False, 'crashfile_format': 'txt', 'parameterize_dirs': True,
+                              'display_variable': ':0', 'job_finished_timeout': 120, 'matplotlib_backend': 'Agg',
+                              'plugin': 'MultiProc', 'use_relative_paths': True, 'remove_unnecessary_outputs': False,
+                              'remove_node_directories': False})
+        for key in cfg.keys():
+            for setting, value in cfg[key].items():
+                wf_multi.config[key][setting] = value
+
+    return wf_multi
diff --git a/dmriprep/workflows/dwi/eddy.py b/dmriprep/workflows/dwi/eddy.py
deleted file mode 100644
index d11808c7..00000000
--- a/dmriprep/workflows/dwi/eddy.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Head motion, eddy current distortion and EPI distortion correction
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. autofunction:: init_dwi_eddy_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import fsl, utility as niu
-from numba import cuda
-
-
-def init_dwi_eddy_wf(omp_nthreads, sdc_method):
-    """
-    This workflow runs eddy on the input dwi image.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from dmriprep.workflows.dwi import init_dwi_eddy_wf
-        wf = init_dwi_eddy_wf(omp_nthreads=1, sdc_method='nonlinear_reg')
-
-    **Parameters**
-
-        omp_nthreads: int
-            Number of threads to run eddy
-        sdc_type: str
-            Synthetic distortion correction method (may include 'fieldmap, 'topup', 'nonlinear_reg')
-
-    **Inputs**
-
-        dwi_file
-            dwi NIfTI file
-        bvec_file
-            bvec file
-        bval_file
-            bval file
-        mask_file
-            brain mask file
-        fieldmap_file
-            fieldmap file
-        topup_fieldcoef
-            topup file containing field coefficients
-        topup_movpar
-            topup movpar.txt file
-        acqp
-            acquisition parameters file
-        index
-            index file
-
-    **Outputs**
-
-        out_file
-            output eddy-corrected dwi image
-        out_bvec
-            output rotated bvecs after eddy correction
-
-    """
-
-    wf = pe.Workflow(name='dwi_eddy_wf')
-
-    inputnode = pe.Node(niu.IdentityInterface(fields=['dwi_file',
-                                                      'bvec_file',
-                                                      'bval_file',
-                                                      'mask_file',
-                                                      'fieldmap_file',
-                                                      'topup_fieldcoef',
-                                                      'topup_movpar',
-                                                      'acqp',
-                                                      'index']),
-                       name='inputnode')
-
-    outputnode = pe.Node(niu.IdentityInterface(fields=['out_file', 'out_bvec']),
-                         name='outputnode')
-
-    ecc = pe.Node(
-        fsl.Eddy(num_threads=omp_nthreads, repol=True, cnr_maps=True, residuals=True),
-        name='fsl_eddy')
-
-    try:
-        if cuda.gpus:
-            ecc.inputs.use_cuda = True
-    except:
-        ecc.inputs.use_cuda = False
-
-    wf.connect([
-        (inputnode, ecc, [('dwi_file', 'in_file'),
-                          ('bval_file', 'in_bval'),
-                          ('bvec_file', 'in_bvec'),
-                          ('acqp', 'in_acqp'),
-                          ('index', 'in_index'),
-                          ('mask_file', 'in_mask')]),
-        (ecc, outputnode, [('out_corrected', 'out_file'),
-                           ('out_rotated_bvecs', 'out_bvec')])
-    ])
-
-    if sdc_method == 'fieldmap':
-        wf.connect([
-            (inputnode, ecc, [('fieldmap_file', 'field')])
-        ])
-
-    if sdc_method == 'topup':
-        wf.connect([
-            (inputnode, ecc, [('topup_fieldcoef', 'in_topup_fieldcoef'),
-                              ('topup_movpar', 'in_topup_movpar')])
-        ])
-
-    return wf
diff --git a/dmriprep/workflows/dwi/outputs.py b/dmriprep/workflows/dwi/outputs.py
deleted file mode 100644
index 2a755fb5..00000000
--- a/dmriprep/workflows/dwi/outputs.py
+++ /dev/null
@@ -1,98 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Output dwi
-^^^^^^^^^^
-
-.. autofunction:: init_dwi_derivatives_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import io as nio, utility as niu
-
-
-def init_dwi_derivatives_wf(subject_id, session_id, output_folder):
-
-    output_wf = pe.Workflow(name="output_wf")
-
-    inputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=[
-                "subject_id",
-                "session_id",
-                "dwi",
-                "bval",
-                "bvec",
-                "index",
-                "acq_params",
-                "mask",
-                "b0",
-                "b0_mask",
-                "eddy_quad_json",
-                "eddy_quad_pdf",
-                "dtifit_FA",
-                "dtifit_MD",
-                "dtifit_AD",
-                "dtifit_RD",
-                "dtifit_V1",
-                "dtifit_sse",
-                "noise",
-            ]
-        ),
-        name="inputnode",
-    )
-
-    def build_path(output_folder, subject_id, session_id):
-        import os
-
-        return os.path.join(
-            output_folder, "dmriprep", "sub-" + subject_id, "ses-" + session_id, "dwi"
-        )
-
-    concat = pe.Node(
-        niu.Function(
-            input_names=["output_folder", "subject_id", "session_id"],
-            output_names=["built_folder"],
-            function=build_path,
-        ),
-        name="build_path",
-    )
-
-    datasink = pe.Node(nio.DataSink(), name="datasink")
-
-    output_wf.connect(
-        [
-            (
-                inputnode,
-                concat,
-                [
-                    ("subject_id", "subject_id"),
-                    ("session_id", "session_id"),
-                    ("output_folder", "output_folder"),
-                ],
-            ),
-            (concat, datasink, [("built_folder", "base_directory")]),
-            (
-                inputnode,
-                datasink,
-                [
-                    ("dwi", "@result.@dwi"),
-                    ("bvec", "@result.@bvec"),
-                    ("bval", "@result.@bval"),
-                    ("mask", "@result.@mask"),
-                    ("b0", "@result.@b0"),
-                    ("eddy_quad_json", "@result.@eddy_quad_json"),
-                    ("eddy_quad_pdf", "@result.@eddy_quad_pdf"),
-                    ("dtifit_FA", "@result.@fa"),
-                    ("dtifit_MD", "@result.@md"),
-                    ("dtifit_AD", "@result.@ad"),
-                    ("dtifit_RD", "@result.@rd"),
-                    ("dtifit_V1", "@result.@v1"),
-                    ("dtifit_sse", "@result.@sse"),
-                ],
-            ),
-        ]
-    )
-
-    return output_wf
diff --git a/dmriprep/workflows/dwi/qc.py b/dmriprep/workflows/dwi/qc.py
deleted file mode 100644
index b6663f22..00000000
--- a/dmriprep/workflows/dwi/qc.py
+++ /dev/null
@@ -1,238 +0,0 @@
-import base64
-import os.path as op
-from io import BytesIO
-
-import matplotlib
-matplotlib.use('agg')
-import matplotlib.pyplot as plt
-import nibabel as nib
-import numpy as np
-
-from dipy.segment.mask import median_otsu
-from nipype.utils.filemanip import save_json, load_json
-
-
-def reorient_array(data, aff):
-    # rearrange the matrix to RAS orientation
-    orientation = nib.orientations.io_orientation(aff)
-    data_RAS = nib.orientations.apply_orientation(data, orientation)
-    # In RAS
-    return nib.orientations.apply_orientation(
-        data_RAS,
-        nib.orientations.axcodes2ornt("IPL")
-    )
-
-
-def mplfig(data, outfile=None, as_bytes=False):
-    fig = plt.figure(frameon=False, dpi=data.shape[0])
-    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
-    ax = plt.Axes(fig, [0., 0., 1., 1.])
-    ax.set_axis_off()
-    fig.add_axes(ax)
-    ax.imshow(data, aspect=1, cmap=plt.cm.Greys_r)  # previous aspect="normal"
-    if outfile:
-        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
-        plt.close()
-        return outfile
-    if as_bytes:
-        IObytes = BytesIO()
-        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
-        IObytes.seek(0)
-        base64_jpgData = base64.b64encode(IObytes.read())
-        return base64_jpgData.decode("ascii")
-
-
-def mplfigcontour(data, outfile=None, as_bytes=False):
-    fig = plt.figure(frameon=False)
-    fig.set_size_inches(float(data.shape[1])/data.shape[0], 1)
-    ax = plt.Axes(fig, [0., 0., 1., 1.])
-    ax.set_axis_off()
-    fig.add_axes(ax)
-
-    bg = np.zeros(data.shape)
-    bg[:] = np.nan
-    ax.imshow(bg, aspect=1, cmap=plt.cm.Greys_r)  # used to be aspect="normal"
-    ax.contour(data, colors="red", linewidths=0.1)
-    if outfile:
-        fig.savefig(outfile, dpi=data.shape[0], transparent=True)
-        plt.close()
-        return outfile
-    if as_bytes:
-        IObytes = BytesIO()
-        plt.savefig(IObytes, format='png', dpi=data.shape[0], transparent=True)
-        IObytes.seek(0)
-        base64_jpgData = base64.b64encode(IObytes.read())
-        return base64_jpgData.decode("ascii")
-
-
-def load_and_reorient(filename):
-    img = nib.load(filename)
-    data, aff = img.get_data(), img.affine
-    data = reorient_array(data, aff)
-    return data
-
-
-def reshape3D(data, n=256):
-    return np.pad(data, (
-        (
-            (n-data.shape[0]) // 2,
-            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
-        ),
-        (
-            (n-data.shape[1]) // 2,
-            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
-        ),
-        (0, 0)
-    ), "constant", constant_values=(0, 0))
-
-
-def reshape4D(data, n=256):
-    return np.pad(data, (
-        (
-            (n-data.shape[0]) // 2,
-            ((n-data.shape[0]) + (data.shape[0] % 2 > 0)) // 2
-        ),
-        (
-            (n-data.shape[1]) // 2,
-            ((n-data.shape[1]) + (data.shape[1] % 2 > 0)) // 2
-        ),
-        (0, 0), (0, 0)
-    ), "constant", constant_values=(0, 0))
-
-
-def get_middle_slices(data, slice_direction):
-    slicer = {"ax": 0, "cor": 1, "sag": 2}
-    all_data_slicer = [slice(None), slice(None), slice(None)]
-    num_slices = data.shape[slicer[slice_direction]]
-    slice_num = int(num_slices / 2)
-    all_data_slicer[slicer[slice_direction]] = slice_num
-    tile = data[tuple(all_data_slicer)]
-
-    # make it a square
-    N = max(tile.shape[:2])
-    tile = reshape3D(tile, N)
-
-    return tile
-
-
-def nearest_square(limit):
-    answer = 0
-    while (answer+1)**2 < limit:
-        answer += 1
-    if (answer ** 2) == limit:
-        return answer
-    else:
-        return answer + 1
-
-
-def create_sprite_from_tiles(tile, out_file=None, as_bytes=False):
-    num_slices = tile.shape[-1]
-    N = nearest_square(num_slices)
-    M = int(np.ceil(num_slices/N))
-    # tile is square, so just make a big arr
-    pix = tile.shape[0]
-
-    if len(tile.shape) == 3:
-        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0]))
-    else:
-        mosaic = np.zeros((N*tile.shape[0], M*tile.shape[0], tile.shape[-2]))
-
-    mosaic[:] = np.nan
-    helper = np.arange(N*M).reshape((N, M))
-
-    for t in range(num_slices):
-        x, y = np.nonzero(helper == t)
-        xmin = x[0] * pix
-        xmax = (x[0] + 1) * pix
-        ymin = y[0] * pix
-        ymax = (y[0] + 1) * pix
-
-        if len(tile.shape) == 3:
-            mosaic[xmin:xmax, ymin:ymax] = tile[:, :, t]
-        else:
-            mosaic[xmin:xmax, ymin:ymax, :] = tile[:, :, :, t]
-
-    if as_bytes:
-        img = mplfig(mosaic, out_file, as_bytes=as_bytes)
-        return dict(img=img, N=N, M=M, pix=pix, num_slices=num_slices)
-
-    if out_file:
-        img = mplfig(mosaic, out_file), N, M, pix, num_slices
-
-    return dict(mosaic=mosaic, N=N, M=M, pix=pix, num_slices=num_slices)
-
-
-def createSprite4D(dwi_file):
-
-    # initialize output dict
-    output = []
-
-    # load the file
-    dwi = load_and_reorient(dwi_file)[:, :, :, 1:]
-
-    # create tiles from center slice on each orientation
-    for orient in ['sag', 'ax', 'cor']:
-        tile = get_middle_slices(dwi, orient)
-
-        # create sprite images for each
-        results = create_sprite_from_tiles(tile, as_bytes=True)
-        results['img_type'] = '4dsprite'
-        results['orientation'] = orient
-        output.append(results)
-
-    return output
-
-
-def createB0_ColorFA_Mask_Sprites(b0_file, colorFA_file, mask_file):
-    colorfa = load_and_reorient(colorFA_file)
-    b0 = load_and_reorient(b0_file)[:, :, :, 0]
-    anat_mask = load_and_reorient(mask_file)
-
-    N = max(*b0.shape[:2])
-
-    # make a b0 sprite
-    b0 = reshape3D(b0, N)
-    _, mask = median_otsu(b0)
-    outb0 = create_sprite_from_tiles(b0, as_bytes=True)
-    outb0['img_type'] = 'brainsprite'
-
-    # make a colorFA sprite, masked by b0
-    Q = reshape4D(colorfa, N)
-    Q[np.logical_not(mask)] = np.nan
-    Q = np.moveaxis(Q,  -2, -1)
-    outcolorFA = create_sprite_from_tiles(Q, as_bytes=True)
-    outcolorFA['img_type'] = 'brainsprite'
-
-    # make an anat mask contour sprite
-    outmask = create_sprite_from_tiles(reshape3D(anat_mask, N))
-    img = mplfigcontour(outmask.pop("mosaic"), as_bytes=True)
-    outmask['img'] = img
-
-    return outb0, outcolorFA, outmask
-
-
-def create_report_json(dwi_corrected_file, eddy_rms, eddy_report,
-                       color_fa_file, anat_mask_file,
-                       outlier_indices,
-                       eddy_qc_file,
-                       outpath=op.abspath('./report.json')):
-
-    report = {}
-    report['dwi_corrected'] = createSprite4D(dwi_corrected_file)
-
-    b0, colorFA, mask = createB0_ColorFA_Mask_Sprites(dwi_corrected_file,
-                                                      color_fa_file,
-                                                      anat_mask_file)
-    report['b0'] = b0
-    report['colorFA'] = colorFA
-    report['anat_mask'] = mask
-    report['outlier_volumes'] = outlier_indices.tolist()
-
-    with open(eddy_report, 'r') as f:
-        report['eddy_report'] = f.readlines()
-
-    report['eddy_params'] = np.genfromtxt(eddy_rms).tolist()
-    eddy_qc = load_json(eddy_qc_file)
-    report['eddy_quad'] = eddy_qc
-    save_json(outpath, report)
-    return outpath
diff --git a/dmriprep/workflows/dwi/tensor.py b/dmriprep/workflows/dwi/tensor.py
deleted file mode 100644
index 92bea601..00000000
--- a/dmriprep/workflows/dwi/tensor.py
+++ /dev/null
@@ -1,88 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Tensor fitting
-^^^^^^^^^^^^^^
-
-.. autofunction:: init_dwi_tensor_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import fsl, utility as niu
-
-
-def init_dwi_tensor_wf():
-    """
-    This workflow fits a tensor to the input dwi image.
-
-    .. workflow::
-        :graph2use: orig
-        :simple_form: yes
-
-        from dmriprep.workflows.dwi import init_dwi_tensor_wf
-        wf = init_dwi_tensor_wf()
-
-    **Inputs**
-
-        dwi_file
-            dwi NIfTI file
-        bvec_file
-            bvec file
-        bval_file
-            bval file
-        mask_file
-            brain mask file
-
-    **Outputs**
-
-        FA_file
-            FA
-        MD_file
-            MD
-        AD_file
-            AD
-        RD_file
-            RD
-        V1_file
-            V1
-        sse_file
-            diffusion tensor fit residuals
-
-    """
-
-    wf = pe.Workflow(name='dwi_tensor_wf')
-
-    inputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=['dwi_file', 'bvec_file', 'bval_file', 'mask_file']),
-        name='inputnode')
-
-    outputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=['FA_file', 'MD_file', 'AD_file', 'RD_file', 'V1_file', 'sse_file']),
-        name='outputnode')
-
-    dtifit = pe.Node(fsl.DTIFit(save_tensor=True, sse=True), name='dtifit')
-
-    add_l2_l3 = pe.Node(fsl.BinaryMaths(operation='add'), name='add_l2_l3')
-
-    calc_rd = pe.Node(fsl.BinaryMaths(operand_value=2, operation='div'), name='calc_rd')
-
-    wf.connect([
-        (inputnode, dtifit, [('dwi_file', 'dwi'),
-                             ('bvec_file', 'bvecs'),
-                             ('bval_file', 'bvals'),
-                             ('mask_file', 'mask')]),
-        (dtifit, add_l2_l3, [('L2', 'in_file'),
-                             ('L3', 'operand_file')]),
-        (add_l2_l3, calc_rd, [('out_file', 'in_file')]),
-        (calc_rd, outputnode, [('out_file', 'RD_file')]),
-        (dtifit, outputnode, [('FA', 'FA_file'),
-                              ('MD', 'MD_file'),
-                              ('L1', 'AD_file'),
-                              ('V1', 'V1_file'),
-                              ('sse', 'sse_file')])
-    ])
-
-    return wf
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
index 6555a5b3..e8298eb5 100644
--- a/dmriprep/workflows/dwi/util.py
+++ b/dmriprep/workflows/dwi/util.py
@@ -7,12 +7,12 @@
 .. autofunction:: init_dwi_concat_wf
 
 """
-
+import os
 from nipype.pipeline import engine as pe
 from nipype.interfaces import utility as niu
 
 
-def init_dwi_concat_wf(ref_file):
+def init_dwi_concat_wf(dwi_files, fbvals, fbvecs, metadata_files, sub, ses, out_dir):
     """
     This workflow concatenates a list of dwi images as well as their associated
     bvecs and bvals.
@@ -24,20 +24,13 @@ def init_dwi_concat_wf(ref_file):
         from dmriprep.workflows.dwi import init_dwi_concat_wf
         wf = init_dwi_concat_wf(ref_file='/madeup/path/sub-01_dwi.nii.gz')
 
-    **Parameters**
-
-        ref_file : :obj:`str`
-            reference dwi NIfTI file for naming outputs
-
     **Inputs**
 
-        ref_file
-            reference dwi NIfTI file
-        dwi_list : :obj:`list`
+        dwis : :obj:`list`
             list of dwi NIfTI files
-        bvec_list : :obj:`list`
+        fbvecs : :obj:`list`
             list of associated bvec files
-        bval_list : :obj:`list`
+        fbvals : :obj:`list`
             list of associated bval files
 
     **Outputs**
@@ -50,33 +43,53 @@ def init_dwi_concat_wf(ref_file):
             concatenated bval file
 
     """
+    import_list = [
+        "import sys",
+        "import os",
+        "import numpy as np",
+        "import nibabel as nib",
+        "import warnings",
+        'warnings.filterwarnings("ignore")',
+    ]
+
+    subdir = "%s%s%s" % (out_dir, "/", sub)
+    if not os.path.isdir(subdir):
+        os.mkdir(subdir)
+    sesdir = "%s%s%s%s%s" % (out_dir, "/", sub, "/ses-", ses)
+    if not os.path.isdir(sesdir):
+        os.mkdir(sesdir)
 
     wf = pe.Workflow(name='dwi_concat_wf')
+    wf.base_dir = '/tmp'
 
-    inputnode = pe.Node(niu.IdentityInterface(fields=['ref_file',
-                                                      'dwi_list',
+    inputnode = pe.Node(niu.IdentityInterface(fields=['dwi_list',
                                                       'bvec_list',
-                                                      'bval_list']),
+                                                      'bval_list',
+                                                      'metadata_list',
+                                                      'sesdir']),
                         name='inputnode')
 
+    inputnode.inputs.bval_list = fbvals
+    inputnode.inputs.bvec_list = fbvecs
+    inputnode.inputs.dwi_list = dwi_files
+    inputnode.inputs.metadata_list = metadata_files
+    inputnode.inputs.sesdir = sesdir
+
     outputnode = pe.Node(niu.IdentityInterface(fields=['dwi_file',
                                                        'bvec_file',
-                                                       'bval_file']),
+                                                       'bval_file',
+                                                       'metadata_file']),
                          name='outputnode')
 
-    def concat_dwis(ref_file, dwi_list):
-        import os
-        import numpy as np
-        from nipype.utils.filemanip import fname_presuffix
+    def concat_dwis(sesdir, dwi_list):
         import nibabel as nib
+        import numpy as np
+        import os
         from nilearn.image import concat_imgs
 
-        out_file = fname_presuffix(
-            ref_file,
-            newpath=os.path.abspath('.')
-        )
+        out_file = sesdir + '/' + os.path.basename(dwi_list[0]).split('_acq')[0] + '_concat.nii.gz'
 
-        dwi_data = [nib.load(dwi) for dwi in dwi_list]
+        dwi_data = [nib.load(dwi_file) for dwi_file in dwi_list]
 
         new_nii = concat_imgs(dwi_data)
 
@@ -89,27 +102,17 @@ def concat_dwis(ref_file, dwi_list):
 
     concat_dwis = pe.Node(
         niu.Function(
-            input_names=['ref_file', 'dwi_list'],
+            input_names=['sesdir', 'dwi_list'],
             output_names=['out_file'],
             function=concat_dwis
         ),
+        imports=import_list,
         name='concat_dwis')
 
-    def concat_bvecs(ref_file, bvec_list):
-        """
-
-        """
-
-        import os
+    def concat_bvecs(sesdir, bvec_list):
         import numpy as np
-        from nipype.utils.filemanip import fname_presuffix
-
-        out_file = fname_presuffix(
-            ref_file,
-            suffix='.bvec',
-            newpath=os.path.abspath('.'),
-            use_ext=False
-        )
+        import os
+        out_file = sesdir + '/' + os.path.basename(bvec_list[0]).split('_acq')[0] + '_concat.bvec'
 
         bvec_vals = []
         for bvec in bvec_list:
@@ -122,27 +125,17 @@ def concat_bvecs(ref_file, bvec_list):
 
     concat_bvecs = pe.Node(
         niu.Function(
-            input_names=['ref_file', 'bvec_list'],
+            input_names=['sesdir', 'bvec_list'],
             output_names=['out_file'],
             function=concat_bvecs
         ),
+        imports=import_list,
         name='concat_bvecs')
 
-    def concat_bvals(ref_file, bval_list):
-        """
-
-        """
-
-        import os
+    def concat_bvals(sesdir, bval_list):
         import numpy as np
-        from nipype.utils.filemanip import fname_presuffix
-
-        out_file = fname_presuffix(
-            ref_file,
-            suffix='.bval',
-            newpath=os.path.abspath('.'),
-            use_ext=False
-        )
+        import os
+        out_file = sesdir + '/' + os.path.basename(bval_list[0]).split('_acq')[0] + '_concat.bval'
 
         bval_vals = []
         for bval in bval_list:
@@ -156,22 +149,69 @@ def concat_bvals(ref_file, bval_list):
 
     concat_bvals = pe.Node(
         niu.Function(
-            input_names=['ref_file', 'bval_list'],
+            input_names=['sesdir', 'bval_list'],
             output_names=['out_file'],
             function=concat_bvals
         ),
+        imports=import_list,
         name='concat_bvals')
 
+    def summarize_metadata(sesdir, metadata_list, bval_list):
+        import numpy as np
+        import json
+        import os
+        out_file = sesdir + '/' + os.path.basename(metadata_list[0]).split('_acq')[0] + '_metadata_concat_summary.json'
+
+        bval_vals = []
+        for bval in bval_list:
+            bval_vals.append(np.genfromtxt(bval).astype('bool').astype('int').tolist())
+
+        bval_config = [sum(bval) for bval in bval_vals]
+
+        metadata_dicts = []
+        i = 1
+        for json_file in metadata_list:
+            with open(json_file, "r") as f:
+                metadata_dict = json.load(f)
+            for param in list(metadata_dict.keys()):
+                metadata_dict[param + '_' + str(i)] = metadata_dict.pop(param)
+            metadata_dicts.append(metadata_dict)
+            i = i + 1
+
+        metadata_megadict = dict(metadata_dicts[0])
+        for dic in metadata_dicts:
+            metadata_megadict.update(dic)
+
+        metadata_megadict['vol_legend'] = bval_config
+
+        with open(out_file, 'w') as json_file:
+            json.dump(metadata_megadict, json_file)
+
+        return out_file
+
+    summarize_metadata = pe.Node(
+        niu.Function(
+            input_names=['sesdir', 'metadata_list', 'bval_list'],
+            output_names=['out_file'],
+            function=summarize_metadata
+        ),
+        imports=import_list,
+        name='summarize_metadata')
+
     wf.connect([
-        (inputnode, concat_dwis, [('ref_file', 'ref_file'),
+        (inputnode, concat_dwis, [('sesdir', 'sesdir'),
                                   ('dwi_list', 'dwi_list')]),
-        (inputnode, concat_bvecs, [('ref_file', 'ref_file'),
+        (inputnode, concat_bvecs, [('sesdir', 'sesdir'),
                                    ('bvec_list', 'bvec_list')]),
-        (inputnode, concat_bvals, [('ref_file', 'ref_file'),
+        (inputnode, concat_bvals, [('sesdir', 'sesdir'),
                                    ('bval_list', 'bval_list')]),
-        (concat_dwis, outputnode, [('merged_file', 'dwi_file')]),
+        (inputnode, summarize_metadata, [('sesdir', 'sesdir'),
+                                         ('metadata_list', 'metadata_list'),
+                                         ('bval_list', 'bval_list')]),
+        (concat_dwis, outputnode, [('out_file', 'dwi_file')]),
         (concat_bvecs, outputnode, [('out_file', 'bvec_file')]),
-        (concat_bvals, outputnode, [('out_file', 'bval_file')])
+        (concat_bvals, outputnode, [('out_file', 'bval_file')]),
+        (summarize_metadata, outputnode, [('out_file', 'metadata_file')])
     ])
 
     return wf
diff --git a/dmriprep/workflows/fieldmap/base.py b/dmriprep/workflows/fieldmap/base.py
index 3c374fb2..604f184d 100644
--- a/dmriprep/workflows/fieldmap/base.py
+++ b/dmriprep/workflows/fieldmap/base.py
@@ -11,8 +11,7 @@ def init_sdc_wf(
     fmaps,
     metadata,
     layout,
-    bet_mag,
-    #synb0,
+    bet_mag
     ):
 
     sdc_wf = pe.Workflow(name='sdc_wf')
diff --git a/dmriprep/workflows/fieldmap/brainsuite.py b/dmriprep/workflows/fieldmap/brainsuite.py
deleted file mode 100644
index f799eafe..00000000
--- a/dmriprep/workflows/fieldmap/brainsuite.py
+++ /dev/null
@@ -1,46 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-SDC using BrainSuite
-^^^^^^^^^^^^^^^^^^^^
-
-.. autofunction:: init_brainsuite_wf
-
-"""
-
-from nipype.pipeline import engine as pe
-from nipype.interfaces import brainsuite, utility as niu
-
-
-def init_brainsuite_wf():
-
-    wf = pe.Workflow(name='brainsuite_wf')
-
-    inputnode = pe.Node(
-        niu.IdentityInterface(
-            fields=[
-                'T1w',
-                'T1w_mask',
-                'dwi_file',
-                'dwi_mask',
-                'bvec_file',
-                'bval_file']),
-        name='inputnode')
-
-    outputnode = pe.Node(
-        niu.IdentityInterface(fields=['out_dwi']), name='outputnode'
-    )
-
-    bias_corr = pe.Node(brainsuite.Bfc(minBias=0.5, maxBias=1.5), name='bias_corr')
-
-    # nipype spec doesn't have an output definition yet!
-    bdp = pe.Node(brainsuite.BDP(), name='bdp')
-
-    wf.connect([
-        (inputnode, bias_corr, [('T1w', 'inputMRIFile')]),
-        (bias_corr, bdp, [('outputMRIVolume', 'bfcFile'),
-                          ('T1w_mask', 't1Mask'),
-                          ('dwi_file', 'inputDiffusionData'),
-                          ('dwi_mask', 'dwiMask'),
-                          ('bvec_file', 'BVecBValPair')])
-    ])
diff --git a/dmriprep/workflows/fieldmap/fmap.py b/dmriprep/workflows/fieldmap/fmap.py
index d28399a7..84443d01 100644
--- a/dmriprep/workflows/fieldmap/fmap.py
+++ b/dmriprep/workflows/fieldmap/fmap.py
@@ -41,3 +41,4 @@ def init_fmap_wf(bet_mag):
     )
 
     return wf
+
diff --git a/dmriprep/workflows/fieldmap/pepolar.py b/dmriprep/workflows/fieldmap/pepolar.py
index d24caeff..03788b97 100644
--- a/dmriprep/workflows/fieldmap/pepolar.py
+++ b/dmriprep/workflows/fieldmap/pepolar.py
@@ -133,7 +133,6 @@ def init_synb0_wf(subject_id, dwi_meta, synb0):
 
 
 def init_topup_wf(use_acqp=False):
-    from ...interfaces import mrtrix3
 
     wf = pe.Workflow(name='topup_wf')
 
@@ -164,9 +163,6 @@ def init_topup_wf(use_acqp=False):
 
     merge = pe.Node(fsl.Merge(dimension='t'), name='mergeAPPA')
 
-    # Resize (make optional)
-    resize = pe.Node(mrtrix3.MRResize(voxel_size=[1]), name='epi_resize')
-
     topup = pe.Node(fsl.TOPUP(), name='topup')
 
     get_base_movpar = lambda x: x.split('_movpar.txt')[0]
diff --git a/dmriprep/workflows/fieldmap/phasediff.py b/dmriprep/workflows/fieldmap/phasediff.py
index b16d1d08..04c3af33 100644
--- a/dmriprep/workflows/fieldmap/phasediff.py
+++ b/dmriprep/workflows/fieldmap/phasediff.py
@@ -2,7 +2,7 @@
 
 from nipype.pipeline import engine as pe
 from nipype.interfaces import fsl, ants, utility as niu
-from ...interfaces import Phases2Fieldmap
+from ...interfaces.fmap import Phases2Fieldmap
 
 
 def init_phase_wf(bet_mag):
@@ -27,7 +27,7 @@ def init_phase_wf(bet_mag):
         (inputnode, phases2fmap, [('phasediff', 'phase_files')]),
         (inputnode, phdiff_wf, [('magnitude1', 'inputnode.magnitude1'),
                                 ('phases_meta', 'inputnode.phases_meta')]),
-        (phases2fmap, phdiff_wf, [('out_file', 'inputnode.phasediff')])
+        (phases2fmap, phdiff_wf, [('out_file', 'inputnode.phasediff')]),
         (phdiff_wf, outputnode, [('outputnode.out_fmap', 'out_fmap'),
                                  ('outputnode.out_mag', 'out_mag')])
     ])
diff --git a/dmriprep/workflows/fieldmap/synb0.py b/dmriprep/workflows/fieldmap/synb0.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/docker/files/neurodebian.gpg b/docker/files/neurodebian.gpg
new file mode 100644
index 00000000..c546d45d
--- /dev/null
+++ b/docker/files/neurodebian.gpg
@@ -0,0 +1,71 @@
+-----BEGIN PGP PUBLIC KEY BLOCK-----
+Version: GnuPG v1
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diff --git a/docs/conf.py b/docs/conf.py
index 190fac70..463b3576 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -37,8 +37,8 @@
     'sphinx.ext.doctest',
     'sphinx.ext.intersphinx',
     'sphinx.ext.viewcode',
-    'sphinx_click.ext',  # click extension
-    'nipype.sphinxext.plot_workflow'  # nipype extension to plot workflows
+    'sphinxarg.ext',  # argparse extension
+    'nipype.sphinxext.plot_workflow'
 ]
 
 # Add any paths that contain templates here, relative to this directory.
@@ -55,7 +55,7 @@
 
 # General information about the project.
 project = 'dmriprep'
-author = 'The dMRIprep developers'
+author = 'The dMRIPrep developers'
 copyright = '2018-%s, %s' % (datetime.now().year, author)
 
 
@@ -133,7 +133,7 @@
 # (source start file, target name, title, author, documentclass
 # [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, 'dmriprep.tex', 'dmriprep Documentation', author, 'manual')
+    (master_doc, 'dmriprep.tex', 'dMRIPrep Documentation', author, 'manual')
 ]
 
 
@@ -141,7 +141,7 @@
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, 'dmriprep', u'dmriprep Documentation', [author], 1)]
+man_pages = [(master_doc, 'dmriprep', u'dMRIPrep Documentation', [author], 1)]
 
 
 # -- Options for Texinfo output ----------------------------------------
@@ -153,7 +153,7 @@
     (
         master_doc,
         'dmriprep',
-        'dMRIprep Documentation',
+        'dMRIPrep Documentation',
         author,
         'dmriprep',
         'One line description of project.',
diff --git a/long_description.rst b/long_description.rst
deleted file mode 100644
index 696b2a12..00000000
--- a/long_description.rst
+++ /dev/null
@@ -1,31 +0,0 @@
-Preprocessing of diffusion MRI (dMRI) involves numerous steps to clean and standardize
-the data before fitting a particular model.
-Generally, researchers create ad hoc preprocessing workflows for each dataset,
-building upon a large inventory of available tools.
-The complexity of these workflows has snowballed with rapid advances in
-acquisition and processing.
-dMRIPrep is an analysis-agnostic tool that addresses the challenge of robust and
-reproducible preprocessing for whole-brain dMRI data.
-dMRIPrep automatically adapts a best-in-breed workflow to the idiosyncrasies of
-virtually any dataset, ensuring high-quality preprocessing without manual intervention.
-dMRIPrep equips neuroscientists with an easy-to-use and transparent preprocessing
-workflow, which can help ensure the validity of inference and the interpretability
-of results.
-
-The workflow is based on `Nipype <https://nipype.readthedocs.io>`_ and encompases a large
-set of tools from well-known neuroimaging packages, including
-`FSL <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>`_,
-`ANTs <https://stnava.github.io/ANTs/>`_,
-`FreeSurfer <https://surfer.nmr.mgh.harvard.edu/>`_,
-`AFNI <https://afni.nimh.nih.gov/>`_,
-and `Nilearn <https://nilearn.github.io/>`_.
-This pipeline was designed to provide the best software implementation for each state of
-preprocessing, and will be updated as newer and better neuroimaging software becomes
-available.
-
-dMRIPrep performs basic preprocessing steps (coregistration, normalization, unwarping,
-segmentation, skullstripping etc.) providing outputs that can be
-easily submitted to a variety of tractography algorithms.
-
-[Documentation `dmriprep.org <https://dmriprep.readthedocs.io>`_]
-[Support `neurostars.org <https://neurostars.org/tags/dmriprep>`_]
diff --git a/references.xlsx b/references.xlsx
deleted file mode 100644
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diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 43ffe4c3..00000000
--- a/requirements.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-Click>=7.0
-dipy==1.0.0
-duecredit==0.7.0
-nipype==1.2.0
-pandas==0.25.0
-parse==1.12.0
-tqdm==4.33.0
-pybids==0.9.3
-matplotlib==3.1.1
-numba==0.45.1
diff --git a/requirements_dev.txt b/requirements_dev.txt
deleted file mode 100644
index 4ff69330..00000000
--- a/requirements_dev.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-pip==19.1.1
-bumpversion==0.5.3
-wheel==0.33.4
-watchdog==0.9.0
-flake8==3.7.8
-tox==3.13.2
-coverage==4.5.3
-Sphinx==2.1.2
-sphinx-click==2.2.0
-twine==1.13.0
-black==19.3b0
-versioneer==0.18
-pre-commit==1.17.0
-
-pytest==5.0.1
-pytest-runner==5.1
diff --git a/setup.cfg b/setup.cfg
index f632aae3..160ee558 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,9 +1,6 @@
 [metadata]
 url = https://github.com/nipreps/dmriprep
 author = The dMRIPrep developers
-author_email = code@oscaresteban.es
-maintainer = Oscar Esteban
-maintainer_email = code@oscaresteban.es
 description = dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
 long_description = file:README.rst
 long_description_content_type = text/x-rst; charset=UTF-8
@@ -20,18 +17,19 @@ classifiers =
 [options]
 python_requires = >=3.5
 install_requires =
+    dipy ~=1.0.0
     indexed_gzip >=0.8.8
     nibabel >=2.2.1
     nilearn !=0.5.0, !=0.5.1
-    nipype >=1.2.0
+    nipype >=1.2.1
     niworkflows ~= 0.10.1
+    numba ~= 0.44.1
     numpy
     pandas
     psutil >=5.4
-    pybids ~= 0.9.2
+    pybids ~= 0.9.3
     pyyaml
     scikit-image
-    smriprep ~= 0.3.0
     statsmodels
     templateflow ~= 0.4.1
 test_requires =
diff --git a/update_changes.sh b/update_changes.sh
index 8c69a10b..49c607d5 100644
--- a/update_changes.sh
+++ b/update_changes.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 #
 # Collects the pull-requests since the latest release and
-# aranges them in the CHANGES.rst.txt file.
+# arranges them in the CHANGES.rst file.
 #
 # This is a script to be run before releasing a new version.
 # Authored by Oscar Esteban

From 7c0c8ce7ae08d7b8611551b73cf06acf33a88791 Mon Sep 17 00:00:00 2001
From: dPys <dpisner@utexas.edu>
Date: Mon, 4 Nov 2019 01:50:15 -0600
Subject: [PATCH 155/156] correct topup reverse-phase handling

---
 dmriprep/.idea/workspace.xml   | 191 +++++++++++++++++++++++----------
 dmriprep/utils/core.py         |   8 +-
 dmriprep/workflows/dwi/util.py |   9 +-
 3 files changed, 150 insertions(+), 58 deletions(-)

diff --git a/dmriprep/.idea/workspace.xml b/dmriprep/.idea/workspace.xml
index cadf3879..2267a63b 100644
--- a/dmriprep/.idea/workspace.xml
+++ b/dmriprep/.idea/workspace.xml
@@ -2,8 +2,8 @@
 <project version="4">
   <component name="ChangeListManager">
     <list default="true" id="a5bb7211-a5b4-4090-96a6-1237b311e47e" name="Default Changelist" comment="">
-      <change beforePath="$PROJECT_DIR$/config/b02b0.cnf" beforeDir="false" afterPath="$PROJECT_DIR$/config/b02b0.cnf" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/config/b02b0_1.cnf" beforeDir="false" afterPath="$PROJECT_DIR$/config/b02b0_1.cnf" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/utils/core.py" beforeDir="false" afterPath="$PROJECT_DIR$/utils/core.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/workflows/dwi/util.py" beforeDir="false" afterPath="$PROJECT_DIR$/workflows/dwi/util.py" afterDir="false" />
     </list>
     <option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
     <option name="SHOW_DIALOG" value="false" />
@@ -12,21 +12,56 @@
     <option name="LAST_RESOLUTION" value="IGNORE" />
   </component>
   <component name="FileEditorManager">
-    <leaf>
+    <leaf SIDE_TABS_SIZE_LIMIT_KEY="300">
       <file pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/config/b02b0_1.cnf">
+        <entry file="file://$PROJECT_DIR$/utils/bids.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="375">
-              <caret line="25" column="9" lean-forward="true" selection-end-line="25" selection-end-column="9" />
+            <state relative-caret-position="-355">
+              <caret line="2" column="38" selection-start-line="2" selection-start-column="38" selection-end-line="2" selection-end-column="38" />
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/workflows/dwi/base.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="720">
+              <caret line="48" lean-forward="true" selection-start-line="48" selection-end-line="48" />
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/workflows/dwi/util.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="1845">
+              <caret line="123" column="53" lean-forward="true" selection-start-line="123" selection-start-column="53" selection-end-line="123" selection-end-column="53" />
+              <folding>
+                <element signature="e#108#117#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/utils/qc.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="-1078">
+              <folding>
+                <element signature="e#0#13#0" expanded="true" />
+              </folding>
             </state>
           </provider>
         </entry>
       </file>
       <file pinned="false" current-in-tab="true">
-        <entry file="file://$PROJECT_DIR$/config/b02b0.cnf">
+        <entry file="file://$PROJECT_DIR$/utils/core.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="45">
-              <caret line="3" column="13" selection-start-line="3" selection-start-column="13" selection-end-line="3" selection-end-column="13" />
+            <state relative-caret-position="797">
+              <caret line="258" column="39" selection-start-line="258" selection-start-column="39" selection-end-line="258" selection-end-column="39" />
+              <folding>
+                <element signature="e#0#47#0" expanded="true" />
+              </folding>
             </state>
           </provider>
         </entry>
@@ -43,6 +78,8 @@
       <find>reverse</find>
       <find>'none'</find>
       <find>work_dir</find>
+      <find>rescale</find>
+      <find>split</find>
     </findStrings>
   </component>
   <component name="Git.Settings">
@@ -51,40 +88,27 @@
   <component name="IdeDocumentHistory">
     <option name="CHANGED_PATHS">
       <list>
-        <option value="$PROJECT_DIR$/utils/core.py" />
         <option value="$PROJECT_DIR$/config/b02b0_1.cnf" />
         <option value="$PROJECT_DIR$/config/b02b0.cnf" />
+        <option value="$PROJECT_DIR$/workflows/dwi/util.py" />
+        <option value="$PROJECT_DIR$/utils/core.py" />
       </list>
     </option>
   </component>
   <component name="ProjectFrameBounds">
-    <option name="x" value="607" />
+    <option name="x" value="615" />
     <option name="y" value="23" />
-    <option name="width" value="1001" />
-    <option name="height" value="985" />
+    <option name="width" value="1209" />
+    <option name="height" value="984" />
   </component>
+  <component name="ProjectLevelVcsManager" settingsEditedManually="true" />
   <component name="ProjectView">
     <navigator proportions="" version="1">
       <foldersAlwaysOnTop value="true" />
     </navigator>
     <panes>
+      <pane id="ProjectPane" />
       <pane id="Scope" />
-      <pane id="ProjectPane">
-        <subPane>
-          <expand>
-            <path>
-              <item name="dmriprep" type="b2602c69:ProjectViewProjectNode" />
-              <item name="dmriprep" type="462c0819:PsiDirectoryNode" />
-            </path>
-            <path>
-              <item name="dmriprep" type="b2602c69:ProjectViewProjectNode" />
-              <item name="dmriprep" type="462c0819:PsiDirectoryNode" />
-              <item name="config" type="462c0819:PsiDirectoryNode" />
-            </path>
-          </expand>
-          <select />
-        </subPane>
-      </pane>
     </panes>
   </component>
   <component name="PropertiesComponent">
@@ -118,22 +142,16 @@
     <servers />
   </component>
   <component name="TimeTrackingManager">
-    <option name="totallyTimeSpent" value="3369000" />
+    <option name="totallyTimeSpent" value="5503000" />
   </component>
   <component name="ToolWindowManager">
-    <frame x="607" y="23" width="1001" height="985" extended-state="0" />
+    <frame x="615" y="23" width="1209" height="984" extended-state="0" />
     <editor active="true" />
     <layout>
-      <window_info id="aws.explorer" side_tool="true" />
-      <window_info id="Favorites" side_tool="true" />
-      <window_info active="true" content_ui="combo" id="Project" order="0" visible="true" weight="0.24921794" />
+      <window_info active="true" content_ui="combo" id="Project" order="0" visible="true" weight="0.14395887" />
       <window_info id="Structure" order="1" side_tool="true" weight="0.25" />
-      <window_info anchor="bottom" id="Docker" />
-      <window_info anchor="bottom" id="Database Changes" />
-      <window_info anchor="bottom" id="Version Control" />
-      <window_info anchor="bottom" id="Python Console" />
-      <window_info anchor="bottom" id="Terminal" />
-      <window_info anchor="bottom" id="Event Log" side_tool="true" />
+      <window_info id="aws.explorer" order="2" side_tool="true" />
+      <window_info id="Favorites" order="3" side_tool="true" />
       <window_info anchor="bottom" id="Message" order="0" />
       <window_info anchor="bottom" id="Find" order="1" />
       <window_info anchor="bottom" id="Run" order="2" />
@@ -141,14 +159,46 @@
       <window_info anchor="bottom" id="Cvs" order="4" weight="0.25" />
       <window_info anchor="bottom" id="Inspection" order="5" weight="0.4" />
       <window_info anchor="bottom" id="TODO" order="6" />
-      <window_info anchor="right" id="Database" />
-      <window_info anchor="right" id="R Packages" />
-      <window_info anchor="right" id="SciView" />
-      <window_info anchor="right" id="R Graphics" />
+      <window_info anchor="bottom" id="Docker" order="7" />
+      <window_info anchor="bottom" id="Version Control" order="8" />
+      <window_info anchor="bottom" id="Database Changes" order="9" />
+      <window_info anchor="bottom" id="Terminal" order="10" />
+      <window_info anchor="bottom" id="Python Console" order="11" />
+      <window_info anchor="bottom" id="Event Log" order="12" side_tool="true" />
       <window_info anchor="right" id="Commander" internal_type="SLIDING" order="0" type="SLIDING" weight="0.4" />
       <window_info anchor="right" id="Ant Build" order="1" weight="0.25" />
       <window_info anchor="right" content_ui="combo" id="Hierarchy" order="2" weight="0.25" />
+      <window_info anchor="right" id="SciView" order="3" />
+      <window_info anchor="right" id="R Graphics" order="4" />
+      <window_info anchor="right" id="R Packages" order="5" />
+      <window_info anchor="right" id="Database" order="6" />
     </layout>
+    <layout-to-restore>
+      <window_info content_ui="combo" id="Project" order="0" sideWeight="0.49663678" visible="true" weight="0.13835958" />
+      <window_info active="true" id="Structure" order="1" sideWeight="0.50336325" side_tool="true" visible="true" weight="0.13835958" />
+      <window_info id="aws.explorer" order="2" side_tool="true" />
+      <window_info id="Favorites" order="3" side_tool="true" />
+      <window_info anchor="bottom" id="Message" order="0" />
+      <window_info anchor="bottom" id="Find" order="1" weight="0.3295964" />
+      <window_info anchor="bottom" id="Run" order="2" />
+      <window_info anchor="bottom" id="Debug" order="3" weight="0.4" />
+      <window_info anchor="bottom" id="Cvs" order="4" weight="0.25" />
+      <window_info anchor="bottom" id="Inspection" order="5" weight="0.4" />
+      <window_info anchor="bottom" id="TODO" order="6" />
+      <window_info anchor="bottom" id="Docker" order="7" />
+      <window_info anchor="bottom" id="Version Control" order="8" />
+      <window_info anchor="bottom" id="Database Changes" order="9" />
+      <window_info anchor="bottom" id="Event Log" order="10" side_tool="true" />
+      <window_info anchor="bottom" id="Terminal" order="11" />
+      <window_info anchor="bottom" id="Python Console" order="12" />
+      <window_info anchor="right" id="Commander" internal_type="SLIDING" order="0" type="SLIDING" weight="0.4" />
+      <window_info anchor="right" id="Ant Build" order="1" weight="0.25" />
+      <window_info anchor="right" content_ui="combo" id="Hierarchy" order="2" weight="0.25" />
+      <window_info anchor="right" id="SciView" order="3" />
+      <window_info anchor="right" id="R Graphics" order="4" />
+      <window_info anchor="right" id="R Packages" order="5" />
+      <window_info anchor="right" id="Database" order="6" />
+    </layout-to-restore>
   </component>
   <component name="TypeScriptGeneratedFilesManager">
     <option name="version" value="1" />
@@ -164,16 +214,6 @@
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/utils/core.py">
-      <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="2940">
-          <caret line="196" column="9" lean-forward="true" selection-start-line="196" selection-start-column="9" selection-end-line="196" selection-end-column="9" />
-          <folding>
-            <element signature="e#0#47#0" expanded="true" />
-          </folding>
-        </state>
-      </provider>
-    </entry>
     <entry file="file://$PROJECT_DIR$/config/b02b0_1.cnf">
       <provider selected="true" editor-type-id="text-editor">
         <state relative-caret-position="375">
@@ -188,5 +228,48 @@
         </state>
       </provider>
     </entry>
+    <entry file="file://$PROJECT_DIR$/utils/bids.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="-355">
+          <caret line="2" column="38" selection-start-line="2" selection-start-column="38" selection-end-line="2" selection-end-column="38" />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/workflows/dwi/util.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="1845">
+          <caret line="123" column="53" lean-forward="true" selection-start-line="123" selection-start-column="53" selection-end-line="123" selection-end-column="53" />
+          <folding>
+            <element signature="e#108#117#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/utils/qc.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="-1078">
+          <folding>
+            <element signature="e#0#13#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/workflows/dwi/base.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="720">
+          <caret line="48" lean-forward="true" selection-start-line="48" selection-end-line="48" />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/utils/core.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="797">
+          <caret line="258" column="39" selection-start-line="258" selection-start-column="39" selection-end-line="258" selection-end-column="39" />
+          <folding>
+            <element signature="e#0#47#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
   </component>
 </project>
\ No newline at end of file
diff --git a/dmriprep/utils/core.py b/dmriprep/utils/core.py
index 92949fd9..feb1365f 100644
--- a/dmriprep/utils/core.py
+++ b/dmriprep/utils/core.py
@@ -232,7 +232,13 @@ def topup_inputs_from_dwi_files(dwi_file, sesdir, spec_acqp, b0_vols, b0s, vol_l
     datain_lines = []
     spec_counts = defaultdict(int)
 
-    unique_encodings = [j for j in list(set([float(i) for i in spec_acqp.split(' ')])) if (j == 1.0) or (j == -1.0)]
+    if isinstance(spec_acqp, list):
+        unique_encodings = []
+        for k in range(len(spec_acqp)):
+            unique_encodings.extend([j for j in list(set([float(i) for i in spec_acqp[k].split(' ')])) if (j == 1.0) or (j == -1.0)])
+    else:
+        unique_encodings = [j for j in list(set([float(i) for i in spec_acqp.split(' ')])) if (j == 1.0) or (j == -1.0)]
+
     if len(unique_encodings) > 1:
         # Reverse phase encodings are present to susceptibility can be estimated via topup
         susceptibility_args = '--estimate_move_by_susceptibility'
diff --git a/dmriprep/workflows/dwi/util.py b/dmriprep/workflows/dwi/util.py
index e8298eb5..8893471d 100644
--- a/dmriprep/workflows/dwi/util.py
+++ b/dmriprep/workflows/dwi/util.py
@@ -109,16 +109,19 @@ def concat_dwis(sesdir, dwi_list):
         imports=import_list,
         name='concat_dwis')
 
-    def concat_bvecs(sesdir, bvec_list):
+    def concat_bvecs(sesdir, bvec_list, bvec_norm_epsilon=0.1):
         import numpy as np
         import os
         out_file = sesdir + '/' + os.path.basename(bvec_list[0]).split('_acq')[0] + '_concat.bvec'
 
         bvec_vals = []
         for bvec in bvec_list:
-            bvec_vals.append(np.genfromtxt(bvec))
+            bvecs = np.genfromtxt(bvec)
+            b0s = np.linalg.norm(bvecs, axis=1) < bvec_norm_epsilon
+            bvecs[~b0s] /= np.linalg.norm(bvecs[~b0s], axis=1)[..., np.newaxis]
+            bvec_vals.append(bvecs)
         np.savetxt(out_file,
-                   np.concatenate((bvec_vals), axis=1),
+                   np.concatenate(bvec_vals, axis=1),
                    fmt='%.4f',
                    delimiter=' ')
         return out_file

From 27b747403a3e2e73715badf39a68169b895eb7d2 Mon Sep 17 00:00:00 2001
From: dPys <dpisner@utexas.edu>
Date: Mon, 4 Nov 2019 10:33:58 -0600
Subject: [PATCH 156/156] more liberal atol

---
 dmriprep/.idea/workspace.xml | 11 +++++------
 dmriprep/utils/core.py       |  2 +-
 2 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/dmriprep/.idea/workspace.xml b/dmriprep/.idea/workspace.xml
index 2267a63b..f2bb0f0f 100644
--- a/dmriprep/.idea/workspace.xml
+++ b/dmriprep/.idea/workspace.xml
@@ -3,7 +3,6 @@
   <component name="ChangeListManager">
     <list default="true" id="a5bb7211-a5b4-4090-96a6-1237b311e47e" name="Default Changelist" comment="">
       <change beforePath="$PROJECT_DIR$/utils/core.py" beforeDir="false" afterPath="$PROJECT_DIR$/utils/core.py" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/workflows/dwi/util.py" beforeDir="false" afterPath="$PROJECT_DIR$/workflows/dwi/util.py" afterDir="false" />
     </list>
     <option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
     <option name="SHOW_DIALOG" value="false" />
@@ -57,8 +56,8 @@
       <file pinned="false" current-in-tab="true">
         <entry file="file://$PROJECT_DIR$/utils/core.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="797">
-              <caret line="258" column="39" selection-start-line="258" selection-start-column="39" selection-end-line="258" selection-end-column="39" />
+            <state relative-caret-position="645">
+              <caret line="43" column="34" selection-start-line="43" selection-start-column="34" selection-end-line="43" selection-end-column="34" />
               <folding>
                 <element signature="e#0#47#0" expanded="true" />
               </folding>
@@ -142,7 +141,7 @@
     <servers />
   </component>
   <component name="TimeTrackingManager">
-    <option name="totallyTimeSpent" value="5503000" />
+    <option name="totallyTimeSpent" value="6332000" />
   </component>
   <component name="ToolWindowManager">
     <frame x="615" y="23" width="1209" height="984" extended-state="0" />
@@ -263,8 +262,8 @@
     </entry>
     <entry file="file://$PROJECT_DIR$/utils/core.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="797">
-          <caret line="258" column="39" selection-start-line="258" selection-start-column="39" selection-end-line="258" selection-end-column="39" />
+        <state relative-caret-position="645">
+          <caret line="43" column="34" selection-start-line="43" selection-start-column="34" selection-end-line="43" selection-end-column="34" />
           <folding>
             <element signature="e#0#47#0" expanded="true" />
           </folding>
diff --git a/dmriprep/utils/core.py b/dmriprep/utils/core.py
index feb1365f..8dcb5a28 100644
--- a/dmriprep/utils/core.py
+++ b/dmriprep/utils/core.py
@@ -21,7 +21,7 @@ def make_gtab(fbval, fbvec, sesdir, final, b0_thr=100):
     gtab_file = "%s%s" % (namer_dir, "/gtab.pkl")
 
     # Creating the gradient table
-    gtab = gradient_table(bvals, bvecs)
+    gtab = gradient_table(bvals, bvecs, atol=1)
 
     # Correct b0 threshold
     gtab.b0_threshold = b0_thr