1919
2020``` Text
2121<pipeline_name>/
22- sub-<participant_label>/
23- dwi/
24- <source_keywords>[_space-<space>]_desc-preproc_dwi.nii[.gz]
25- <source_keywords>[_space-<space>]_desc-preproc_dwi.bval
26- <source_keywords>[_space-<space>]_desc-preproc_dwi.bvec
27- <source_keywords>[_space-<space>]_desc-preproc_dwi.json
22+ sub-<label>/
23+ [ses-<label>/]
24+ dwi/
25+ <source-entities>[_space-<space>]_desc-preproc_dwi.nii[.gz]
26+ <source-entities>[_space-<space>]_desc-preproc_dwi.bval
27+ <source-entities>[_space-<space>]_desc-preproc_dwi.bvec
28+ <source-entities>[_space-<space>]_desc-preproc_dwi.json
2829```
2930
3031## Diffusion models
@@ -52,17 +53,18 @@ that warrant explicit mention due to their consequence in how they are represent
5253
5354``` Text
5455<pipeline_name>/
55- sub-<participant_label>/
56- dwi/
57- <source_keywords>[_space-<space>]_model-<label>[_desc-<desc>]_param-<label1>_dwimap.nii[.gz]
58- <source_keywords>[_space-<space>]_model-<label>[_desc-<desc>]_param-<label1>_dwimap.json
59- <source_keywords>[_space-<space>]_model-<label>[_desc-<desc>]_param-<label2>_dwimap.nii[.gz]
60- <source_keywords>[_space-<space>]_model-<label>[_desc-<desc>]_param-<label2>_dwimap.json
61- <source_keywords>[_space-<space>]_model-<label>[_desc-<desc>]_param-<label3>_dwimap.nii[.gz]
62- <source_keywords>[_space-<space>]_model-<label>[_desc-<desc>]_param-<label3>_dwimap.json
56+ sub-<label>/
57+ [ses-<label>/]
58+ dwi/
59+ <source-entities>[_space-<space>]_model-<label>_param-<label1>[_desc-<label>]_dwimap.nii[.gz]
60+ <source-entities>[_space-<space>]_model-<label>_param-<label1>[_desc-<label>]_dwimap.json
61+ <source-entities>[_space-<space>]_model-<label>_param-<label2>[_desc-<label>]_dwimap.nii[.gz]
62+ <source-entities>[_space-<space>]_model-<label>_param-<label2>[_desc-<label>]_dwimap.json
63+ <source-entities>[_space-<space>]_model-<label>_param-<label3>[_desc-<label>]_dwimap.nii[.gz]
64+ <source-entities>[_space-<space>]_model-<label>_param-<label3>[_desc-<label>]_dwimap.json
6365```
6466
65- - Files "` <source_keywords >_model-<label>_param-<label*>_dwimap.nii[.gz] ` "
67+ - Files "` <source-entities >_model-<label>_param-<label*>_dwimap.nii[.gz] ` "
6668 provide image data encoding the different parameters that may be estimated by the model.
6769 If the image is a three-dimensional volume,
6870 then in the absence of any metadata indicating to the contrary,
@@ -72,7 +74,7 @@ that warrant explicit mention due to their consequence in how they are represent
7274 indicating how data across dimensions beyond the three spatial dimensions
7375 should be interpreted.
7476
75- - Files "` <source_keywords >_model-<label>_param-<label*>_dwimap.json ` "
77+ - Files "` <source-entities >_model-<label>_param-<label*>_dwimap.json ` "
7678 MUST provide information about the model,
7779 and SHOULD provide information about how it was fit to the empirical image data.
7880 In circumstances where the dimensionality of the corresponding NIfTI image is greater than three,
@@ -338,18 +340,18 @@ A guide for using macros can be found at
338340-->
339341{{ MACROS__ _ make_filetree_example(
340342 {
341- "dti_pipeline": {
342- "sub-01": {
343- "dwi": {
344- "sub-01_model-tensor_param-diffusivity_dwimap.nii.gz": "",
345- "sub-01_model-tensor_param-diffusivity_dwimap.json": "",
346- "sub-01_model-tensor_param-s0_dwimap.nii.gz": "",
347- "sub-01_model-tensor_param-s0_dwimap.json": "",
348- "sub-01_model-tensor_param-fa_dwimap.nii.gz": "",
349- "sub-01_model-tensor_param-fa_dwimap.json": "",
350- },
343+ "dti_pipeline": {
344+ "sub-01": {
345+ "dwi": {
346+ "sub-01_model-tensor_param-diffusivity_dwimap.nii.gz": "",
347+ "sub-01_model-tensor_param-diffusivity_dwimap.json": "",
348+ "sub-01_model-tensor_param-s0_dwimap.nii.gz": "",
349+ "sub-01_model-tensor_param-s0_dwimap.json": "",
350+ "sub-01_model-tensor_param-fa_dwimap.nii.gz": "",
351+ "sub-01_model-tensor_param-fa_dwimap.json": "",
352+ },
353+ },
351354 },
352- },
353355 }
354356) }}
355357
@@ -440,18 +442,18 @@ A guide for using macros can be found at
440442-->
441443{{ MACROS__ _ make_filetree_example(
442444 {
443- "msmtcsd_pipeline": {
444- "sub-01": {
445- "dwi": {
446- "sub-01_model-csd_param-wm_dwimap.nii.gz": "",
447- "sub-01_model-csd_param-wm_dwimap.json": "",
448- "sub-01_model-csd_param-gm_dwimap.nii.gz": "",
449- "sub-01_model-csd_param-gm_dwimap.json": "",
450- "sub-01_model-csd_param-csf_dwimap.nii.gz": "",
451- "sub-01_model-csd_param-csf_dwimap.nii.gz": "",
452- },
445+ "msmtcsd_pipeline": {
446+ "sub-01": {
447+ "dwi": {
448+ "sub-01_model-csd_param-wm_dwimap.nii.gz": "",
449+ "sub-01_model-csd_param-wm_dwimap.json": "",
450+ "sub-01_model-csd_param-gm_dwimap.nii.gz": "",
451+ "sub-01_model-csd_param-gm_dwimap.json": "",
452+ "sub-01_model-csd_param-csf_dwimap.nii.gz": "",
453+ "sub-01_model-csd_param-csf_dwimap.nii.gz": "",
454+ },
455+ },
453456 },
454- },
455457 }
456458) }}
457459
@@ -661,30 +663,30 @@ A guide for using macros can be found at
661663-->
662664{{ MACROS__ _ make_filetree_example(
663665 {
664- "bedpostx_pipeline": {
665- "sub-01": {
666- "dwi": {
667- "sub-01_model-bs_desc-mean_param-s0_dwimap.nii.gz": "",
668- "sub-01_model-bs_desc-mean_param-s0_dwimap.json": "",
669- "sub-01_model-bs_desc-mean_param-polar_dwimap.nii.gz": "",
670- "sub-01_model-bs_desc-mean_param-polar_dwimap.json": "",
671- "sub-01_model-bs_desc-mean_param-vector_dwimap.nii.gz": "",
672- "sub-01_model-bs_desc-mean_param-vector_dwimap.json": "",
673- "sub-01_model-bs_desc-mean_param-vf_dwimap.nii.gz": "",
674- "sub-01_model-bs_desc-mean_param-vf_dwimap.json": "",
675- "sub-01_model-bs_desc-mean_param-vfsum_dwimap.nii.gz": "",
676- "sub-01_model-bs_desc-mean_param-vfsum_dwimap.json": "",
677- "sub-01_model-bs_desc-mean_param-diffusivity_dwimap.nii.gz": "",
678- "sub-01_model-bs_desc-mean_param-diffusivity_dwimap.json": "",
679- "sub-01_model-bs_desc-mean_param-dstd_dwimap.nii.gz": "",
680- "sub-01_model-bs_desc-mean_param-dstd_dwimap.json": "",
681- "sub-01_model-bs_desc-merged_param-polar_dwimap.nii.gz": "",
682- "sub-01_model-bs_desc-merged_param-polar_dwimap.json": "",
683- "sub-01_model-bs_desc-merged_param-vf_dwimap.nii.gz": "",
684- "sub-01_model-bs_desc-merged_param-vf_dwimap.json": "",
685- },
666+ "bedpostx_pipeline": {
667+ "sub-01": {
668+ "dwi": {
669+ "sub-01_model-bs_desc-mean_param-s0_dwimap.nii.gz": "",
670+ "sub-01_model-bs_desc-mean_param-s0_dwimap.json": "",
671+ "sub-01_model-bs_desc-mean_param-polar_dwimap.nii.gz": "",
672+ "sub-01_model-bs_desc-mean_param-polar_dwimap.json": "",
673+ "sub-01_model-bs_desc-mean_param-vector_dwimap.nii.gz": "",
674+ "sub-01_model-bs_desc-mean_param-vector_dwimap.json": "",
675+ "sub-01_model-bs_desc-mean_param-vf_dwimap.nii.gz": "",
676+ "sub-01_model-bs_desc-mean_param-vf_dwimap.json": "",
677+ "sub-01_model-bs_desc-mean_param-vfsum_dwimap.nii.gz": "",
678+ "sub-01_model-bs_desc-mean_param-vfsum_dwimap.json": "",
679+ "sub-01_model-bs_desc-mean_param-diffusivity_dwimap.nii.gz": "",
680+ "sub-01_model-bs_desc-mean_param-diffusivity_dwimap.json": "",
681+ "sub-01_model-bs_desc-mean_param-dstd_dwimap.nii.gz": "",
682+ "sub-01_model-bs_desc-mean_param-dstd_dwimap.json": "",
683+ "sub-01_model-bs_desc-merged_param-polar_dwimap.nii.gz": "",
684+ "sub-01_model-bs_desc-merged_param-polar_dwimap.json": "",
685+ "sub-01_model-bs_desc-merged_param-vf_dwimap.nii.gz": "",
686+ "sub-01_model-bs_desc-merged_param-vf_dwimap.json": "",
687+ },
688+ },
686689 },
687- },
688690 }
689691) }}
690692
@@ -931,7 +933,7 @@ Notes:
931933- Care must be taken for images of greater than three dimensions
932934 where additional dimensions do * not* encode anisotropy information:
933935
934- - In image ` "*_desc- mean*_param-vf_ *" ` ,
936+ - In image ` "*_param-vf_desc- mean*_ *" ` ,
935937 the fourth image axis encodes scalar information across stick components.
936938 Since this is * not* coefficients in some orientation encoding,
937939 but the image possesses more than three axes,
@@ -951,7 +953,6 @@ Notes:
951953 do not have any anisotropy,
952954 and therefore field ` "OrientationEncoding"["Type"] ` MUST be specified as ` "scalar" ` .
953955
954-
955956### Appendix
956957
957958#### Spherical Harmonics
@@ -1009,9 +1010,9 @@ Notes:
10091010
10101011 * N* = ((* l<sub >max</sub >* +1) x (* l<sub >max</sub >* +2)) / 2
10111012
1012- | *** l<sub >max</sub >*** | 0 | 2 | 4 | 6 | 8 | 10 | ... |
1013- | --------------------- | --: | --: | --: | --: | --: | --: | :--: |
1014- | *** N*** | 1 | 6 | 15 | 28 | 45 | 66 | ... |
1013+ | *** l<sub >max</sub >*** | 0 | 2 | 4 | 6 | 8 | 10 | ... |
1014+ | --------------------- | --- | --- | --- | --- | --- | --- | ---- |
1015+ | *** N*** | 1 | 6 | 15 | 28 | 45 | 66 | ... |
10151016
10161017 - Relationship between maximal degree of * zonal* spherical harmonic
10171018 function (spherical harmonics function where all * m* != 0 terms are
@@ -1020,6 +1021,6 @@ Notes:
10201021
10211022 * N* = 1 + (* l<sub >max</sub >* / 2)
10221023
1023- | *** l<sub >max</sub >*** | 0 | 2 | 4 | 6 | 8 | 10 | ... |
1024- | --------------------- | --: | --: | --: | --: | --: | --: | :--: |
1025- | *** N*** | 1 | 2 | 3 | 4 | 5 | 6 | ... |
1024+ | *** l<sub >max</sub >*** | 0 | 2 | 4 | 6 | 8 | 10 | ... |
1025+ | --------------------- | --- | --- | --- | --- | --- | --- | ---- |
1026+ | *** N*** | 1 | 2 | 3 | 4 | 5 | 6 | ... |
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