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reconstruction/MRI_reconstruction/tutorials/01_kspace_basics_fastmri_knee.ipynb

@@ -133,7 +133,36 @@
     "outputId": "98b4e840-035f-4e47-ed35-777a21c3ed2d"
    },
    "outputs": [],
-   "source": "# Update this path to where your fastMRI knee single-coil data is stored.\n# You only need ONE .h5 file from the knee_singlecoil_val set.\n\n# --- Google Colab: mount Drive and copy data ---\nfrom google.colab import drive\n\ndrive.mount(\"/content/drive\")\n\ndrive_folder = \"/content/drive/MyDrive/fastmri_data\"\ndata_path = \"/content/fastmri_data/knee_singlecoil_val\"\nos.makedirs(data_path, exist_ok=True)\n\nfiles = [f for f in os.listdir(drive_folder) if f.endswith(\".h5\")]\nif files:\n    shutil.copy(os.path.join(drive_folder, files[0]), data_path)\n    print(f\"Copied {files[0]} to {data_path}\")\nelse:\n    raise FileNotFoundError(\n        f\"No .h5 files found in {drive_folder}\\n\"\n        \"Please upload at least one .h5 file from knee_singlecoil_val.\"\n    )\n\n# --- Local users: comment out the Colab block above and set your path ---\n# data_path = os.path.join(\"YOUR_DIR_HERE\", \"knee_singlecoil_val\")\n\nsample_files = sorted([f for f in os.listdir(data_path) if f.endswith(\".h5\")])\nsample_file = os.path.join(data_path, sample_files[0])\nprint(f\"Using sample file: {sample_file}\")\nprint(f\"Total .h5 files found: {len(sample_files)}\")"
+   "source": [
+    "# Update this path to where your fastMRI knee single-coil data is stored.\n",
+    "# You only need ONE .h5 file from the knee_singlecoil_val set.\n",
+    "\n",
+    "# --- Google Colab: mount Drive and copy data ---\n",
+    "from google.colab import drive\n",
+    "\n",
+    "drive.mount(\"/content/drive\")\n",
+    "\n",
+    "drive_folder = \"/content/drive/MyDrive/fastmri_data\"\n",
+    "data_path = \"/content/fastmri_data/knee_singlecoil_val\"\n",
+    "os.makedirs(data_path, exist_ok=True)\n",
+    "\n",
+    "files = [f for f in os.listdir(drive_folder) if f.endswith(\".h5\")]\n",
+    "if files:\n",
+    "    shutil.copy(os.path.join(drive_folder, files[0]), data_path)\n",
+    "    print(f\"Copied {files[0]} to {data_path}\")\n",
+    "else:\n",
+    "    raise FileNotFoundError(\n",
+    "        f\"No .h5 files found in {drive_folder}\\n\" \"Please upload at least one .h5 file from knee_singlecoil_val.\"\n",
+    "    )\n",
+    "\n",
+    "# --- Local users: comment out the Colab block above and set your path ---\n",
+    "# data_path = os.path.join(\"YOUR_DIR_HERE\", \"knee_singlecoil_val\")\n",
+    "\n",
+    "sample_files = sorted([f for f in os.listdir(data_path) if f.endswith(\".h5\")])\n",
+    "sample_file = os.path.join(data_path, sample_files[0])\n",
+    "print(f\"Using sample file: {sample_file}\")\n",
+    "print(f\"Total .h5 files found: {len(sample_files)}\")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -932,4 +961,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}