{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Normalized Voxels: Align Planes, Adjust Contrast, and Crop\n\nAs shown in several notebooks, MRI plane type (Axial, Coronal, and Sagittal) is not consistent among patients or MRI scan types (FLAIR, T1w, T1wCE, T2w).\nWhile augmentations might alleviate this inconsistency, it is better to train models using MRI voxels that are consistent in terms of plane type.\nThis notebook shows we can obtain normalized voxels by appropriately rotating MRI voxels.\nI found that simply rotating MRI voxels is not enough because the order of planes is also inconsistent in some cases.\nFor example, even with the same Sagittal type, some of scans were in left-to-right order, while others were the other way around.\nAs Instance Number does not help, Image Position (Patient) is used in this notebook to reorder stacked images.\nAfter normalized voxels with respect to planes, contrast is adjusted and then voxels are cropped.\nFinally, the voxel is resized to arbitrary fixed size.\n\n## Normalized Voxel Datasets\n\nThe normalized voxels created the above procedure were stored as a dataset. Please refer to the second half of this notebook.","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19"}},{"cell_type":"code","source":"from pathlib import Path\nimport numpy as np\nimport cv2\nimport pydicom\nimport matplotlib.pyplot as plt\n\nimport pandas as pd\nfrom tqdm import tqdm\nimport seaborn as sns\nimport pprint\nimport plotly.express as px\n\nDATASET = 'train'\nscan_types = ['FLAIR','T1w','T1wCE','T2w']\ndata_root = Path(\"../input/rsna-miccai-brain-tumor-radiogenomic-classification\")","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:18:34.756442Z","iopub.execute_input":"2021-10-15T09:18:34.756781Z","iopub.status.idle":"2021-10-15T09:18:37.171372Z","shell.execute_reply.started":"2021-10-15T09:18:34.756748Z","shell.execute_reply":"2021-10-15T09:18:37.170392Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# https://www.kaggle.com/arnabs007/part-1-rsna-miccai-btrc-understanding-the-data\n# https://www.kaggle.com/davidbroberts/determining-mr-image-planes\ndef get_image_plane(data):\n    x1, y1, _, x2, y2, _ = [round(j) for j in data.ImageOrientationPatient]\n    cords = [x1, y1, x2, y2]\n\n    if cords == [1, 0, 0, 0]:\n        return 'Coronal'\n    elif cords == [1, 0, 0, 1]:\n        return 'Axial'\n    elif cords == [0, 1, 0, 0]:\n        return 'Sagittal'\n    else:\n        return 'Unknown'","metadata":{"execution":{"iopub.status.busy":"2021-10-13T08:16:51.049694Z","iopub.execute_input":"2021-10-13T08:16:51.050034Z","iopub.status.idle":"2021-10-13T08:16:51.056482Z","shell.execute_reply.started":"2021-10-13T08:16:51.050004Z","shell.execute_reply":"2021-10-13T08:16:51.055196Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def get_voxel(study_id, scan_type):\n    imgs = []\n    dcm_dir = data_root.joinpath(DATASET, study_id, scan_type)\n    dcm_paths = sorted(dcm_dir.glob(\"*.dcm\"), key=lambda x: int(x.stem.split(\"-\")[-1]))\n    positions = []\n    \n    for dcm_path in dcm_paths:\n        img = pydicom.dcmread(str(dcm_path))\n        imgs.append(img.pixel_array)\n        positions.append(img.ImagePositionPatient)\n        \n    plane = get_image_plane(img)\n    voxel = np.stack(imgs)\n    \n    # reorder planes if needed and rotate voxel\n    if plane == \"Coronal\":\n        if positions[0][1] < positions[-1][1]:\n            voxel = voxel[::-1]\n            print(f\"{study_id} {scan_type} {plane} reordered\")\n        voxel = voxel.transpose((1, 0, 2))\n    elif plane == \"Sagittal\":\n        if positions[0][0] < positions[-1][0]:\n            voxel = voxel[::-1]\n            print(f\"{study_id} {scan_type} {plane} reordered\")\n        voxel = voxel.transpose((1, 2, 0))\n        voxel = np.rot90(voxel, 2, axes=(1, 2))\n    elif plane == \"Axial\":\n        if positions[0][2] > positions[-1][2]:\n            voxel = voxel[::-1]\n            print(f\"{study_id} {scan_type} {plane} reordered\")\n        voxel = np.rot90(voxel, 2)\n    else:\n        raise ValueError(f\"Unknown plane {plane}\")\n    return voxel, plane","metadata":{"execution":{"iopub.status.busy":"2021-10-13T08:16:51.297344Z","iopub.execute_input":"2021-10-13T08:16:51.297695Z","iopub.status.idle":"2021-10-13T08:16:51.309099Z","shell.execute_reply.started":"2021-10-13T08:16:51.297665Z","shell.execute_reply":"2021-10-13T08:16:51.308299Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def normalize_contrast(voxel):\n    if voxel.sum() == 0:\n        return voxel\n    voxel = voxel - np.min(voxel)\n    voxel = voxel / np.max(voxel)\n    voxel = (voxel * 255).astype(np.uint8)\n    return voxel","metadata":{"execution":{"iopub.status.busy":"2021-10-12T09:34:19.059849Z","iopub.execute_input":"2021-10-12T09:34:19.060304Z","iopub.status.idle":"2021-10-12T09:34:19.066476Z","shell.execute_reply.started":"2021-10-12T09:34:19.060265Z","shell.execute_reply":"2021-10-12T09:34:19.065264Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def crop_voxel(voxel):\n    if voxel.sum() == 0:\n        return voxel\n    keep = (voxel.mean(axis=(0, 1)) > 0)\n    voxel = voxel[:, :, keep]\n    keep = (voxel.mean(axis=(0, 2)) > 0)\n    voxel = voxel[:, keep]\n    keep = (voxel.mean(axis=(1, 2)) > 0)\n    voxel = voxel[keep]\n    return voxel","metadata":{"execution":{"iopub.status.busy":"2021-10-12T09:34:19.198414Z","iopub.execute_input":"2021-10-12T09:34:19.19882Z","iopub.status.idle":"2021-10-12T09:34:19.205049Z","shell.execute_reply.started":"2021-10-12T09:34:19.198783Z","shell.execute_reply":"2021-10-12T09:34:19.204144Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Sample planes along the longest axis and resize the sampled planes.\nBy sampling along the longest axis, the degradation due to sampling is minimized.\nThe best way is to resize twice (e.g. (x, y) axis then (y, z) axis) but it is computationally expensive.","metadata":{}},{"cell_type":"code","source":"def resize_voxel(voxel, sz=64):\n    output = np.zeros((sz, sz, sz), dtype=np.uint8)\n\n    if np.argmax(voxel.shape) == 0:\n        for i, s in enumerate(np.linspace(0, voxel.shape[0] - 1, sz)):\n            output[i] = cv2.resize(voxel[int(s)], (sz, sz))\n    elif np.argmax(voxel.shape) == 1:\n        for i, s in enumerate(np.linspace(0, voxel.shape[1] - 1, sz)):\n            output[:, i] = cv2.resize(voxel[:, int(s)], (sz, sz))\n    elif np.argmax(voxel.shape) == 2:\n        for i, s in enumerate(np.linspace(0, voxel.shape[2] - 1, sz)):\n            output[:, :, i] = cv2.resize(voxel[:, :, int(s)], (sz, sz))\n\n    return output","metadata":{"execution":{"iopub.status.busy":"2021-10-12T09:34:20.54844Z","iopub.execute_input":"2021-10-12T09:34:20.548937Z","iopub.status.idle":"2021-10-12T09:34:20.557706Z","shell.execute_reply.started":"2021-10-12T09:34:20.548904Z","shell.execute_reply":"2021-10-12T09:34:20.55692Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for study_path in list(data_root.joinpath(DATASET).glob(\"*\"))[:5]:\n    study_id = study_path.name\n    \n    if not study_path.is_dir():\n        continue\n\n    fig = plt.figure(figsize=(12, 9))\n    fig.suptitle(f\"study id: {study_id}\", fontsize=24)\n\n    for i, scan_type in enumerate(scan_types):\n        voxel, plane = get_voxel(study_id, scan_type)\n        voxel = normalize_contrast(voxel)\n        voxel = crop_voxel(voxel)\n        voxel = resize_voxel(voxel)\n        ax = fig.add_subplot(3, 4, i + 1)\n        ax.set_title(f\"{scan_type}, {plane}\")\n        ax.imshow(voxel[voxel.shape[0] // 2], cmap='gray')\n        ax = fig.add_subplot(3, 4, i + 1 + 4)\n        ax.imshow(voxel[:, voxel.shape[1] // 2], cmap='gray')\n        ax = fig.add_subplot(3, 4, i + 1 + 8)\n        ax.imshow(voxel[:, :, voxel.shape[2] // 2], cmap='gray')\n    \n    fig.show()","metadata":{"execution":{"iopub.status.busy":"2021-10-12T09:34:21.85683Z","iopub.execute_input":"2021-10-12T09:34:21.857353Z","iopub.status.idle":"2021-10-12T09:35:27.890027Z","shell.execute_reply.started":"2021-10-12T09:34:21.857307Z","shell.execute_reply":"2021-10-12T09:35:27.888611Z"},"_kg_hide-output":true,"_kg_hide-input":true,"collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# (NEW) 01 Dimensions of scans\nExtracting the dimensions of voxels and adding into a pandas datafrmae","metadata":{}},{"cell_type":"code","source":"dims = []\n\nfor study_path in tqdm(list(data_root.joinpath(DATASET).glob(\"*\"))):\n    study_id = study_path.name\n    \n    #print(f\"study id {study_id}\")\n    \n    for i, scan_type in enumerate(scan_types):\n        voxel, plane = get_voxel(study_id, scan_type)\n        x, y, z = voxel.shape\n        dim = {\n            \"study_id\": study_id,\n            \"scan_type\": scan_type,\n            \"x\": x,\n            \"y\": y,\n            \"z\": z,\n              }\n        dims.append(dim)\n\ndim_df = pd.DataFrame(dims)\ndim_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-12T10:12:01.528815Z","iopub.execute_input":"2021-10-12T10:12:01.529193Z","iopub.status.idle":"2021-10-12T10:54:37.722403Z","shell.execute_reply.started":"2021-10-12T10:12:01.52916Z","shell.execute_reply":"2021-10-12T10:54:37.72117Z"},"_kg_hide-output":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dim_df.to_csv('voxel_dims.csv')","metadata":{"execution":{"iopub.status.busy":"2021-10-12T10:54:37.724874Z","iopub.execute_input":"2021-10-12T10:54:37.725257Z","iopub.status.idle":"2021-10-12T10:54:37.755751Z","shell.execute_reply.started":"2021-10-12T10:54:37.725221Z","shell.execute_reply":"2021-10-12T10:54:37.754446Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dim_df = pd.read_csv('voxel_dims.csv', index_col = 0)\ndim_df.head(20)","metadata":{"execution":{"iopub.status.busy":"2021-10-12T13:48:05.06603Z","iopub.execute_input":"2021-10-12T13:48:05.066479Z","iopub.status.idle":"2021-10-12T13:48:05.091948Z","shell.execute_reply.started":"2021-10-12T13:48:05.066441Z","shell.execute_reply":"2021-10-12T13:48:05.090554Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dim_df_unpiv = dim_df.melt(id_vars = [\"study_id\", \"scan_type\"],\n                          var_name = \"axis\",\n                          value_name = \"size\")\ndim_df_unpiv.head(20)","metadata":{"execution":{"iopub.status.busy":"2021-10-12T13:43:36.184217Z","iopub.execute_input":"2021-10-12T13:43:36.184699Z","iopub.status.idle":"2021-10-12T13:43:36.207585Z","shell.execute_reply.started":"2021-10-12T13:43:36.184665Z","shell.execute_reply":"2021-10-12T13:43:36.206273Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"g = sns.displot(\n    data=dim_df_unpiv, \n    x = \"size\",  \n    col = \"scan_type\",\n    row = \"axis\", \n    height = 3\n)\ng.set_axis_labels(\"Size (pixels)\")\ng.set_titles(row_template=\"'{row_name}'\", col_template=\"'{col_name}'\")\ng.fig.subplots_adjust(top=0.9)\ng.fig.suptitle(\"Distribution of scan dimensions by channel & axes\", fontsize = 24)\ng.fig.savefig('01-01-kk-scan-dim-distr')","metadata":{"execution":{"iopub.status.busy":"2021-10-12T13:23:32.650937Z","iopub.execute_input":"2021-10-12T13:23:32.651278Z","iopub.status.idle":"2021-10-12T13:23:36.718461Z","shell.execute_reply.started":"2021-10-12T13:23:32.651247Z","shell.execute_reply":"2021-10-12T13:23:36.717383Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# (NEW) 02 Values Distribution\nfor each study_id and scan_type, calculate percentiles of values\n","metadata":{}},{"cell_type":"code","source":"pctls = []\n\nfor study_path in tqdm(list(data_root.joinpath(DATASET).glob(\"*\"))):\n    study_id = study_path.name\n    \n    for i, scan_type in enumerate(scan_types):\n        voxel, plane = get_voxel(study_id, scan_type)\n        \n        pctl = np.percentile(voxel, range(1,101), interpolation = 'higher')\n        \n        for i, value in enumerate(pctl, 1):\n            pctl_dct = {\n                \"study_id\": study_id,\n                \"scan_type\": scan_type,\n                \"percentile\": i,\n                \"value\": value\n                  }\n            pctls.append(pctl_dct)\n\npctls_df = pd.DataFrame(pctls)\npctls_df","metadata":{"execution":{"iopub.status.busy":"2021-10-12T11:15:02.514409Z","iopub.execute_input":"2021-10-12T11:15:02.514895Z","iopub.status.idle":"2021-10-12T12:16:35.67498Z","shell.execute_reply.started":"2021-10-12T11:15:02.514849Z","shell.execute_reply":"2021-10-12T12:16:35.673773Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pctls_df.to_csv('pctls.csv')","metadata":{"execution":{"iopub.status.busy":"2021-10-12T12:25:10.712211Z","iopub.execute_input":"2021-10-12T12:25:10.712754Z","iopub.status.idle":"2021-10-12T12:25:11.497667Z","shell.execute_reply.started":"2021-10-12T12:25:10.712708Z","shell.execute_reply":"2021-10-12T12:25:11.496632Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pctls_df = pd.read_csv('../input/voxel-pctls/pctls.csv', index_col = 0)\npctls_df.head(20)","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:43:06.124757Z","iopub.execute_input":"2021-10-15T09:43:06.125305Z","iopub.status.idle":"2021-10-15T09:43:06.273074Z","shell.execute_reply.started":"2021-10-15T09:43:06.125229Z","shell.execute_reply":"2021-10-15T09:43:06.272133Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"g = sns.FacetGrid(\n    data = pctls_df,\n    col=\"scan_type\", \n    col_wrap= 2,\n    height = 5\n)\ng.map_dataframe(sns.lineplot, \n      x = \"percentile\",\n      y = \"value\",\n      units = \"study_id\",\n      estimator = None,\n      alpha = 0.05\n     )\ng.set(xlim=(60, 100))\ng.add_legend()\ng.fig.subplots_adjust(top=0.9)\ng.fig.suptitle(\"Values by Percentile for each channel type (truncated axis)\", fontsize = 24)\ng.fig.savefig('01-02-kk-values-distr')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:43:06.274335Z","iopub.execute_input":"2021-10-15T09:43:06.274636Z","iopub.status.idle":"2021-10-15T09:43:14.380098Z","shell.execute_reply.started":"2021-10-15T09:43:06.274607Z","shell.execute_reply":"2021-10-15T09:43:14.379369Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"g = sns.FacetGrid(\n    data = pctls_df,\n    col=\"scan_type\", \n    col_wrap= 2,\n    height = 5\n)\ng.map_dataframe(sns.lineplot, \n      x = \"percentile\",\n      y = \"value\",\n      units = \"study_id\",\n      estimator = None,\n      alpha = 0.05\n     )\ng.set(xlim=(60, 100))\ng.set(yscale='log')\ng.set(ylim=(100, None))\ng.add_legend()\ng.fig.subplots_adjust(top=0.9)\ng.fig.suptitle(\"(Log) Values by Percentile for each channel type\", fontsize = 24)\ng.fig.savefig('01-03-kk-values-distr-log')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:43:14.381278Z","iopub.execute_input":"2021-10-15T09:43:14.381761Z","iopub.status.idle":"2021-10-15T09:43:24.103477Z","shell.execute_reply.started":"2021-10-15T09:43:14.381729Z","shell.execute_reply":"2021-10-15T09:43:24.102395Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pctls_df.groupby(['scan_type', 'percentile']).agg([np.mean,np.max,np.min])","metadata":{"execution":{"iopub.status.busy":"2021-10-12T13:18:13.43574Z","iopub.execute_input":"2021-10-12T13:18:13.436554Z","iopub.status.idle":"2021-10-12T13:18:13.52989Z","shell.execute_reply.started":"2021-10-12T13:18:13.436496Z","shell.execute_reply":"2021-10-12T13:18:13.52875Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# (NEW) 03 Dicom metadata","metadata":{}},{"cell_type":"markdown","source":"Reading a dcm file with pydicom.dcmread gives a <class 'pydicom.dataset.FileDataset'> object and printing this object shows the metadata associated with it. \n\nhttps://pydicom.github.io/pydicom/dev/reference/generated/pydicom.dataset.FileDataset.html#pydicom.dataset.FileDataset\n","metadata":{}},{"cell_type":"code","source":"for study_path in list(data_root.joinpath(DATASET).glob(\"*\"))[:1]:\n    study_id = study_path.name\n\n    for i, scan_type in enumerate(scan_types[:1]):\n        \n        dcm_dir = data_root.joinpath(DATASET, study_id, scan_type)\n        dcm_paths = sorted(dcm_dir.glob(\"*.dcm\"), key=lambda x: int(x.stem.split(\"-\")[-1]))\n\n        for dcm_path in dcm_paths[:1]:\n            img = pydicom.dcmread(str(dcm_path))\n            \n            print(type(img))\n            print(img)","metadata":{"execution":{"iopub.status.busy":"2021-10-13T13:55:23.217435Z","iopub.execute_input":"2021-10-13T13:55:23.217782Z","iopub.status.idle":"2021-10-13T13:55:23.306638Z","shell.execute_reply.started":"2021-10-13T13:55:23.217752Z","shell.execute_reply":"2021-10-13T13:55:23.305325Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"These values can be extracted with the to_json_dict() method. Dropping the key corresponding to raw pixel data (7FE00010) as it causes the notebook to crash when printing.","metadata":{}},{"cell_type":"code","source":"dct = img.to_json_dict()\nprint(dct.keys())\ndel dct['7FE00010']\nprint(dct.keys())\nlen(dct)","metadata":{"execution":{"iopub.status.busy":"2021-10-13T11:18:20.747244Z","iopub.execute_input":"2021-10-13T11:18:20.747761Z","iopub.status.idle":"2021-10-13T11:18:20.764036Z","shell.execute_reply.started":"2021-10-13T11:18:20.747718Z","shell.execute_reply":"2021-10-13T11:18:20.762928Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The number keys correspond to data elements defined within DICOM\n\n<img src=\"attachment:f150b2c5-2b6c-461c-b983-221a801f33c9.png\" alt=\"drawing\" width=\"600\"/>\nhttp://dicom.nema.org/medical/dicom/current/output/chtml/part06/chapter_6.html\n\nEach data element has its data element tag (number above), and a value representation (VR) which is used to determine how the following raw data is parsed\n\n<img src=\"attachment:4420b955-463f-492c-ae59-b1792db38f79.png\" alt=\"drawing\" width=\"600\"/>\n\nhttp://dicom.nema.org/medical/dicom/current/output/chtml/part05/chapter_7.html#sect_7.1.1\nhttp://dicom.nema.org/dicom/2013/output/chtml/part05/sect_6.2.html","metadata":{},"attachments":{"f150b2c5-2b6c-461c-b983-221a801f33c9.png":{"image/png":"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"},"4420b955-463f-492c-ae59-b1792db38f79.png":{"image/png":"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"}}},{"cell_type":"code","source":"pprint.pprint(dct)","metadata":{"execution":{"iopub.status.busy":"2021-10-13T11:18:21.968264Z","iopub.execute_input":"2021-10-13T11:18:21.968671Z","iopub.status.idle":"2021-10-13T11:18:21.99335Z","shell.execute_reply.started":"2021-10-13T11:18:21.968637Z","shell.execute_reply":"2021-10-13T11:18:21.991118Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"{pydicom.datadict.dictionary_description(k):v.get('Value') for k,v in dct.items()}","metadata":{"execution":{"iopub.status.busy":"2021-10-13T11:18:22.371303Z","iopub.execute_input":"2021-10-13T11:18:22.371666Z","iopub.status.idle":"2021-10-13T11:18:22.382023Z","shell.execute_reply.started":"2021-10-13T11:18:22.371631Z","shell.execute_reply":"2021-10-13T11:18:22.381324Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"{v.get('vr') for v in dct.values()}","metadata":{"execution":{"iopub.status.busy":"2021-10-13T11:18:02.816767Z","iopub.status.idle":"2021-10-13T11:18:02.817274Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"* CS: Code String\n* DS: Decimal String\n* IS: Integer String\n* LO: Long String\n* PN: Person Name\n* SH: Short String\n* UI: Unique Identifier (UID)\n* UL: Unsigned Long\n* US: Unsigned Short","metadata":{}},{"cell_type":"code","source":"pydicom.datadict.dictionary_description('00181314')","metadata":{"execution":{"iopub.status.busy":"2021-10-13T09:20:38.632425Z","iopub.execute_input":"2021-10-13T09:20:38.632791Z","iopub.status.idle":"2021-10-13T09:20:38.638531Z","shell.execute_reply.started":"2021-10-13T09:20:38.632756Z","shell.execute_reply":"2021-10-13T09:20:38.637563Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# (NEW) 04 Identifying which metadata is consistent within a scan","metadata":{}},{"cell_type":"code","source":"meta_dcts_one_scan = []\n\nfor study_path in list(data_root.joinpath(DATASET).glob(\"*\"))[:1]:\n    study_id = study_path.name\n\n    for i, scan_type in enumerate(scan_types[:1]):\n        \n        dcm_dir = data_root.joinpath(DATASET, study_id, scan_type)\n        dcm_paths = sorted(dcm_dir.glob(\"*.dcm\"), key=lambda x: int(x.stem.split(\"-\")[-1]))\n\n        for dcm_path in dcm_paths:\n            img = pydicom.dcmread(str(dcm_path))\n            meta_dct = img.to_json_dict()\n            del meta_dct['7FE00010']\n            meta_dcts_one_scan.append({pydicom.datadict.dictionary_description(k): v.get('Value') for k,v in meta_dct.items()})\n\nmeta_df_one_scan = pd.DataFrame(meta_dcts_one_scan)\nmeta_df_one_scan","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:18:47.903514Z","iopub.execute_input":"2021-10-15T09:18:47.903851Z","iopub.status.idle":"2021-10-15T09:18:50.086192Z","shell.execute_reply.started":"2021-10-15T09:18:47.903820Z","shell.execute_reply":"2021-10-15T09:18:50.085256Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"meta_counts_one_scan = (\n    meta_df_one_scan.astype(str)\n    .nunique()\n    .to_frame()\n    .reset_index()\n)\nmeta_counts_one_scan.columns = ['data_element', 'distinct_count']\nmeta_counts_one_scan.head(15)","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:18:50.087988Z","iopub.execute_input":"2021-10-15T09:18:50.088361Z","iopub.status.idle":"2021-10-15T09:18:50.130373Z","shell.execute_reply.started":"2021-10-15T09:18:50.088322Z","shell.execute_reply":"2021-10-15T09:18:50.129355Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"unique_metas = meta_counts_one_scan[meta_counts_one_scan.distinct_count == 1].data_element.to_list()\n\nprint(len(unique_metas))\nprint(unique_metas)","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:18:50.132630Z","iopub.execute_input":"2021-10-15T09:18:50.133052Z","iopub.status.idle":"2021-10-15T09:18:50.154903Z","shell.execute_reply.started":"2021-10-15T09:18:50.132998Z","shell.execute_reply":"2021-10-15T09:18:50.153802Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"meta_dcts = []\n\nfor study_path in list(data_root.joinpath(DATASET).glob(\"*\")):\n    study_id = study_path.name\n\n    for i, scan_type in enumerate(scan_types):\n        \n        dcm_dir = data_root.joinpath(DATASET, study_id, scan_type)\n        dcm_paths = sorted(dcm_dir.glob(\"*.dcm\"), key=lambda x: int(x.stem.split(\"-\")[-1]))\n\n        for dcm_path in dcm_paths[:1]:\n            img = pydicom.dcmread(str(dcm_path))\n            meta_dct = img.to_json_dict()\n            del meta_dct['7FE00010']\n            meta_dct = {\n                pydicom.datadict.dictionary_description(k): v.get('Value')\n                for k,v in meta_dct.items()\n                if pydicom.datadict.dictionary_description(k) in unique_metas \n            }\n            meta_dct[\"study_id\"] = study_id\n            meta_dct[\"scan_type\"] = scan_type\n            meta_dcts.append(meta_dct)\n\nmeta_df = pd.DataFrame(meta_dcts)\nmeta_df.study_id = meta_df.study_id.astype(int)\nmeta_df","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:18:50.156410Z","iopub.execute_input":"2021-10-15T09:18:50.156808Z","iopub.status.idle":"2021-10-15T09:20:17.030340Z","shell.execute_reply.started":"2021-10-15T09:18:50.156767Z","shell.execute_reply":"2021-10-15T09:20:17.029251Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"meta_df.to_csv('meta_df.csv')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:20:17.031936Z","iopub.execute_input":"2021-10-15T09:20:17.032352Z","iopub.status.idle":"2021-10-15T09:20:17.183613Z","shell.execute_reply.started":"2021-10-15T09:20:17.032308Z","shell.execute_reply":"2021-10-15T09:20:17.182775Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"meta_counts= (\n    meta_df.astype(str)\n    .nunique()\n    .to_frame()\n    .reset_index()\n)\nmeta_counts.columns = ['data_element', 'distinct_count']\nmeta_counts.sort_values('distinct_count')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:20:17.184749Z","iopub.execute_input":"2021-10-15T09:20:17.185275Z","iopub.status.idle":"2021-10-15T09:20:17.351980Z","shell.execute_reply.started":"2021-10-15T09:20:17.185236Z","shell.execute_reply":"2021-10-15T09:20:17.351000Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# (NEW) 05 Combining Voxel distribution and metadata ","metadata":{}},{"cell_type":"code","source":"pctls_df = pd.read_csv('../input/voxel-pctls/pctls.csv', index_col = 0)\npctls_df.astype({'percentile': int, 'value': int})\npctls_df","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:20:17.361866Z","iopub.execute_input":"2021-10-15T09:20:17.362394Z","iopub.status.idle":"2021-10-15T09:20:17.542641Z","shell.execute_reply.started":"2021-10-15T09:20:17.362353Z","shell.execute_reply":"2021-10-15T09:20:17.541623Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"appr_sum = (pctls_df\n            .groupby(['study_id', 'scan_type'])\n            .agg(np.sum)['value']\n            .rename('appr_sum'))\nappr_sum_sans_max = (pctls_df[pctls_df.percentile < 100]\n                     .groupby(['study_id', 'scan_type'])\n                     .agg(np.sum)['value']\n                     .rename('appr_sum_sans_max'))\nvoxel_sums_df = pd.concat([appr_sum, appr_sum_sans_max], axis = 1 )\nvoxel_sums_df.index = voxel_sums_df.index.map(str)\n\ndef log_limit(x):\n    if x == 0:\n        return 0\n    else: \n        return np.log(x)\n\nvoxel_sums_df['log_as'] = voxel_sums_df.appr_sum.apply(log_limit)\nvoxel_sums_df['log_assm'] = voxel_sums_df.appr_sum_sans_max.apply(log_limit)\nvoxel_sums_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:30:08.988509Z","iopub.execute_input":"2021-10-15T09:30:08.988866Z","iopub.status.idle":"2021-10-15T09:30:09.096467Z","shell.execute_reply.started":"2021-10-15T09:30:08.988817Z","shell.execute_reply":"2021-10-15T09:30:09.095609Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"meta_df = meta_df.set_index(['study_id', 'scan_type'])\nmeta_df.index = meta_df.index.map(str)","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:20:17.643034Z","iopub.execute_input":"2021-10-15T09:20:17.643468Z","iopub.status.idle":"2021-10-15T09:20:17.660068Z","shell.execute_reply.started":"2021-10-15T09:20:17.643411Z","shell.execute_reply":"2021-10-15T09:20:17.658947Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"voxel_sum_meta_df = meta_df.join(voxel_sums_df)\nvoxel_sum_meta_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:30:18.670139Z","iopub.execute_input":"2021-10-15T09:30:18.670525Z","iopub.status.idle":"2021-10-15T09:30:18.741681Z","shell.execute_reply.started":"2021-10-15T09:30:18.670493Z","shell.execute_reply":"2021-10-15T09:30:18.740519Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"candidate_meta = meta_counts[meta_counts.distinct_count.between(2,20)]\n\ncandidate_meta_list = candidate_meta.data_element.to_list()\ncandidate_meta_list = set(candidate_meta_list)\ncandidate_meta_list.remove('scan_type')\ncandidate_meta_list = list(candidate_meta_list)\ncandidate_meta_list = candidate_meta_list\n\ncandidate_meta_list","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:31:33.336557Z","iopub.execute_input":"2021-10-15T09:31:33.336932Z","iopub.status.idle":"2021-10-15T09:31:33.346974Z","shell.execute_reply.started":"2021-10-15T09:31:33.336899Z","shell.execute_reply":"2021-10-15T09:31:33.345939Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"subset_df = voxel_sum_meta_df[candidate_meta_list + out_cols]\nsubset_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:35:10.916983Z","iopub.execute_input":"2021-10-15T09:35:10.917358Z","iopub.status.idle":"2021-10-15T09:35:10.954573Z","shell.execute_reply.started":"2021-10-15T09:35:10.917325Z","shell.execute_reply":"2021-10-15T09:35:10.953539Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"subset_df.columns","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:31:09.019268Z","iopub.execute_input":"2021-10-15T09:31:09.019648Z","iopub.status.idle":"2021-10-15T09:31:09.025866Z","shell.execute_reply.started":"2021-10-15T09:31:09.019612Z","shell.execute_reply":"2021-10-15T09:31:09.024885Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cat_cols = ['Specific Character Set', \n            'Imaged Nucleus', \n            'Position Reference Indicator', \n            #'Series Description',\n            'In-plane Phase Encoding Direction', \n            'MR Acquisition Type', ]\nnum_cols = ['Echo Number(s)',\n            'Pixel Representation',\n            'Rows','Number of Averages', \n            'Trigger Window',\n            'Magnetic Field Strength',\n            'Reconstruction Diameter',]\nout_cols = ['appr_sum',\n            'appr_sum_sans_max',\n            'log_assm',\n            'log_as']","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:03:14.666589Z","iopub.execute_input":"2021-10-15T10:03:14.666954Z","iopub.status.idle":"2021-10-15T10:03:14.672138Z","shell.execute_reply.started":"2021-10-15T10:03:14.666920Z","shell.execute_reply":"2021-10-15T10:03:14.670985Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def first_elem(o):\n    if type(o) is list:\n        return o[0]\n    else: return o\n\nsubset_df[num_cols] = subset_df[num_cols].applymap(first_elem)\nsubset_df[cat_cols] = subset_df[cat_cols].astype(str).astype('category')\nsubset_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:35:17.272621Z","iopub.execute_input":"2021-10-15T09:35:17.272961Z","iopub.status.idle":"2021-10-15T09:35:17.335671Z","shell.execute_reply.started":"2021-10-15T09:35:17.272933Z","shell.execute_reply":"2021-10-15T09:35:17.334727Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"subset_df.dtypes","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:26:53.276443Z","iopub.execute_input":"2021-10-15T09:26:53.276819Z","iopub.status.idle":"2021-10-15T09:26:53.285047Z","shell.execute_reply.started":"2021-10-15T09:26:53.276788Z","shell.execute_reply":"2021-10-15T09:26:53.283854Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"numericalized = subset_df.copy(deep=True)\nnumericalized[cat_cols] = numericalized[cat_cols].apply(lambda x: x.cat.codes)\nnumericalized","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:04:04.647302Z","iopub.execute_input":"2021-10-15T10:04:04.647692Z","iopub.status.idle":"2021-10-15T10:04:04.692660Z","shell.execute_reply.started":"2021-10-15T10:04:04.647659Z","shell.execute_reply":"2021-10-15T10:04:04.691630Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"numericalized.dtypes","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:04:07.912134Z","iopub.execute_input":"2021-10-15T10:04:07.912520Z","iopub.status.idle":"2021-10-15T10:04:07.920699Z","shell.execute_reply.started":"2021-10-15T10:04:07.912483Z","shell.execute_reply":"2021-10-15T10:04:07.919659Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fig = px.parallel_coordinates(numericalized, \n                              color = \"log_assm\", \n                              dimensions = num_cols+cat_cols+out_cols,\n                              color_continuous_scale=px.colors.diverging.Tealrose,)\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2021-10-14T14:57:08.422793Z","iopub.execute_input":"2021-10-14T14:57:08.423209Z","iopub.status.idle":"2021-10-14T14:57:08.509030Z","shell.execute_reply.started":"2021-10-14T14:57:08.423168Z","shell.execute_reply":"2021-10-14T14:57:08.508124Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"subset_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-15T09:35:59.713340Z","iopub.execute_input":"2021-10-15T09:35:59.713762Z","iopub.status.idle":"2021-10-15T09:35:59.736705Z","shell.execute_reply.started":"2021-10-15T09:35:59.713726Z","shell.execute_reply":"2021-10-15T09:35:59.735586Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# (NEW) 06 Analysis by scan type","metadata":{}},{"cell_type":"code","source":"numericalized = numericalized[numericalized['log_assm'] != 0]\n\nsubset_flair = numericalized[numericalized['Series Description'] == \"['FLAIR']\"]\nsubset_t1w = numericalized[numericalized['Series Description'] == \"['T1w']\"]\nsubset_t1wce = numericalized[numericalized['Series Description'] == \"['T1wCE']\"]\nsubset_t2w = numericalized[numericalized['Series Description'] == \"['T2w']\"]\n\n","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:25:06.233947Z","iopub.execute_input":"2021-10-15T10:25:06.234473Z","iopub.status.idle":"2021-10-15T10:25:06.245042Z","shell.execute_reply.started":"2021-10-15T10:25:06.234439Z","shell.execute_reply":"2021-10-15T10:25:06.244156Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## FLAIR: expecting two clusters","metadata":{}},{"cell_type":"code","source":"sns.pairplot(subset_flair, kind='hist')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:25:10.461303Z","iopub.execute_input":"2021-10-15T10:25:10.461831Z","iopub.status.idle":"2021-10-15T10:27:11.617656Z","shell.execute_reply.started":"2021-10-15T10:25:10.461799Z","shell.execute_reply":"2021-10-15T10:27:11.616528Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sns.displot(subset_flair,\n            x = 'log_assm',\n            row = 'MR Acquisition Type',\n            hue = 'Pixel Representation')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:27:11.619562Z","iopub.execute_input":"2021-10-15T10:27:11.619930Z","iopub.status.idle":"2021-10-15T10:27:14.023748Z","shell.execute_reply.started":"2021-10-15T10:27:11.619894Z","shell.execute_reply":"2021-10-15T10:27:14.022961Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## T1WCE: expecting 2 clusters","metadata":{}},{"cell_type":"code","source":"sns.pairplot(subset_t1wce, kind='hist')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:27:14.025229Z","iopub.execute_input":"2021-10-15T10:27:14.025726Z","iopub.status.idle":"2021-10-15T10:29:29.174367Z","shell.execute_reply.started":"2021-10-15T10:27:14.025694Z","shell.execute_reply":"2021-10-15T10:29:29.173423Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sns.displot(subset_t1wce,\n            x = 'log_assm',\n            row = 'MR Acquisition Type',\n            hue = 'Pixel Representation')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:29:29.175819Z","iopub.execute_input":"2021-10-15T10:29:29.176093Z","iopub.status.idle":"2021-10-15T10:29:31.962252Z","shell.execute_reply.started":"2021-10-15T10:29:29.176066Z","shell.execute_reply":"2021-10-15T10:29:31.961304Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## T1W: expecting 3 clusters","metadata":{}},{"cell_type":"code","source":"sns.pairplot(subset_t1w, kind='hist')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:29:31.963545Z","iopub.execute_input":"2021-10-15T10:29:31.963842Z","iopub.status.idle":"2021-10-15T10:32:08.169246Z","shell.execute_reply.started":"2021-10-15T10:29:31.963813Z","shell.execute_reply":"2021-10-15T10:32:08.168246Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sns.displot(subset_t1w,\n            x = 'log_as',\n            row = 'MR Acquisition Type',\n            hue = 'Pixel Representation')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:32:08.170669Z","iopub.execute_input":"2021-10-15T10:32:08.171185Z","iopub.status.idle":"2021-10-15T10:32:10.386712Z","shell.execute_reply.started":"2021-10-15T10:32:08.171146Z","shell.execute_reply":"2021-10-15T10:32:10.385986Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# (NEW) 07 Combining identified metadata with percentiles plot","metadata":{}},{"cell_type":"code","source":"pctls_df = pd.read_csv('../input/voxel-pctls/pctls.csv', index_col = 0)\npctls_df.astype({'percentile': int, 'value': int})\npctls_df = pctls_df.set_index(['study_id', 'scan_type'], drop = False)\npctls_df.index = pctls_df.index.map(str)\npctls_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:44:06.662164Z","iopub.execute_input":"2021-10-15T10:44:06.662578Z","iopub.status.idle":"2021-10-15T10:44:06.964986Z","shell.execute_reply.started":"2021-10-15T10:44:06.662544Z","shell.execute_reply":"2021-10-15T10:44:06.964304Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pctls_meta_df.dtypes","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:46:17.028990Z","iopub.execute_input":"2021-10-15T10:46:17.029363Z","iopub.status.idle":"2021-10-15T10:46:17.038990Z","shell.execute_reply.started":"2021-10-15T10:46:17.029333Z","shell.execute_reply":"2021-10-15T10:46:17.037535Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pctls_meta_df = pctls_df.join(subset_df[['MR Acquisition Type', 'Pixel Representation']])\npctls_meta_df['meta'] = pctls_meta_df['MR Acquisition Type'].astype(str) + ' ' + pctls_meta_df['Pixel Representation'].astype(str)\npctls_meta_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:47:14.814949Z","iopub.execute_input":"2021-10-15T10:47:14.815293Z","iopub.status.idle":"2021-10-15T10:47:15.130164Z","shell.execute_reply.started":"2021-10-15T10:47:14.815257Z","shell.execute_reply":"2021-10-15T10:47:15.129151Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"g = sns.FacetGrid(\n    data = pctls_meta_df,\n    col=\"scan_type\", \n    col_wrap= 2,\n    height = 5\n)\ng.map_dataframe(sns.lineplot, \n      x = \"percentile\",\n      y = \"value\",\n      units = \"study_id\",\n      hue = \"meta\",\n      estimator = None,\n      alpha = 0.05\n     )\ng.set(xlim=(60, 100))\ng.set(yscale='log')\ng.set(ylim=(100, None))\ng.add_legend()\ng.fig.subplots_adjust(top=0.9)\ng.fig.suptitle(\"(Log) Values by Percentile for each channel type\", fontsize = 24)\ng.fig.savefig('01-03-kk-values-distr-log')","metadata":{"execution":{"iopub.status.busy":"2021-10-15T10:47:28.492612Z","iopub.execute_input":"2021-10-15T10:47:28.492968Z","iopub.status.idle":"2021-10-15T10:47:39.672202Z","shell.execute_reply.started":"2021-10-15T10:47:28.492938Z","shell.execute_reply":"2021-10-15T10:47:39.671242Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Normalized Voxel Datasets\nThe normalized voxels created the above procedure were stored as a dataset:\n\n- [64x64x64 voxel](https://www.kaggle.com/ren4yu/rsna-miccai-voxel-64-dataset)\n- [128x128x128 voxel](https://www.kaggle.com/ren4yu/rsna-miccai-voxel-128-dataset)\n- [256x256x256 voxel](https://www.kaggle.com/ren4yu/rsna-miccai-voxel-256-dataset)\n\nThe directory structure is as follows:\n\n```\nvoxel\n├── train\n│   ├── 00000\n│   │   ├── FLAIR.npy\n│   │   ├── T1w.npy\n│   │   ├── T1wCE.npy\n│   │   └── T2w.npy\n│   ├── 00002\n│   │   ├── FLAIR.npy\n...\n├── test\n│   ├── 00001\n│   │   ├── FLAIR.npy\n│   │   ├── T1w.npy\n│   │   ├── T1wCE.npy\n│   │   └── T2w.npy\n│   ├── 00013\n│   │   ├── FLAIR.npy\n```\n\nSome voxels do not exist because all images belonging to these scans are completely black:\n\n- ('train', '00109', 'FLAIR.npy')\n- ('train', '00123', 'T1w.npy')\n- ('train', '00123', 'T2w.npy')\n- ('train', '00709', 'FLAIR.npy')\n\nLet's get one voxel and visualize it.","metadata":{}},{"cell_type":"code","source":"! ls ../input","metadata":{"execution":{"iopub.status.busy":"2021-08-14T15:41:32.861439Z","iopub.execute_input":"2021-08-14T15:41:32.861772Z","iopub.status.idle":"2021-08-14T15:41:33.608466Z","shell.execute_reply.started":"2021-08-14T15:41:32.861741Z","shell.execute_reply":"2021-08-14T15:41:33.606895Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def load_voxel(study_id, scan_type=\"FLAIR\", split=\"train\", sz=256):\n    assert sz in (64, 128, 256)\n    data_root = Path(f\"../input/rsna-miccai-voxel-{sz}-dataset\")\n    npy_path = Path(data_root).joinpath(\"voxel\", split, study_id, f\"{scan_type}.npy\")\n    voxel = np.load(str(npy_path))\n    return voxel","metadata":{"execution":{"iopub.status.busy":"2021-08-14T15:41:33.61092Z","iopub.execute_input":"2021-08-14T15:41:33.611392Z","iopub.status.idle":"2021-08-14T15:41:33.619615Z","shell.execute_reply.started":"2021-08-14T15:41:33.611334Z","shell.execute_reply":"2021-08-14T15:41:33.617743Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"voxel = load_voxel(\"00000\", \"FLAIR\", \"train\", 256)\nvoxel.shape","metadata":{"execution":{"iopub.status.busy":"2021-08-14T15:41:33.621346Z","iopub.execute_input":"2021-08-14T15:41:33.621703Z","iopub.status.idle":"2021-08-14T15:41:33.819963Z","shell.execute_reply.started":"2021-08-14T15:41:33.621672Z","shell.execute_reply":"2021-08-14T15:41:33.818777Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fig = plt.figure(figsize=(12, 4))\nax = fig.add_subplot(1, 3, 1)\nax.imshow(voxel[voxel.shape[0] // 2], cmap='gray')\nax = fig.add_subplot(1, 3, 2)\nax.imshow(voxel[:, voxel.shape[1] // 2], cmap='gray')\nax = fig.add_subplot(1, 3, 3)\nax.imshow(voxel[:, :, voxel.shape[2] // 2], cmap='gray')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-14T15:41:33.821324Z","iopub.execute_input":"2021-08-14T15:41:33.821658Z","iopub.status.idle":"2021-08-14T15:41:34.321746Z","shell.execute_reply.started":"2021-08-14T15:41:33.821624Z","shell.execute_reply":"2021-08-14T15:41:34.320578Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}