Dicom_Sorting.ipynb

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  "metadata": {
    "colab": {
      "name": "Dicom_Sorting.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QdFvbHKqFgGI"
      },
      "source": [
        "# Decoding DICOM Files"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EvjKCX9PWlsH"
      },
      "source": [
        "DICOM files are the primary format for storing medical images. All clinical algorithms must be able to read and write DICOM. But these files can be challenging to organize. DICOM files have information associated with the image saved in a header, which can be extensive. Files are structured in 4 tiers:\n",
        "\n",
        "1. Patient\n",
        "2. Study\n",
        "3. Series\n",
        "4. Instance\n",
        "\n",
        "DICOM files are unambiguous because each file contains a header that exhaustively documents the hospital, patient, scanner, and image information. <br>\n",
        "\n",
        "## Challenges of DICOM\n",
        "\n",
        "For deep learning tasks, the aim is usually to load the image data as a NumPy or other file, and in this case, DICOM can be difficult: \n",
        "<br>\n",
        "* DICOM saves one file per slice, so a 3D scan may have hundreds of files\n",
        "DICOM files are named with a unique identifier (UID). This makes it hard to sort files from the folder level (in some cases, file names are so long that they exceed the 256 character maximum on Windows computers which causes saving/loading issues)\n",
        "\n",
        "* Patient and hospital information is embedded in the file header, which can make DICOM tricky to anonymize\n",
        "\n",
        "Outside the field of informatics, this organizational structure is an important strength of DICOM for medical practice because all information is in one place. \n",
        "\n",
        "## Identifying a DICOM file\n",
        "Each DICOM file is designed to be standalone — all the information needed to identify the file is embedded in each header. This information is organized into 4 levels of hierarchy — patient, study, series, and instance:\n",
        "\n",
        "* **Patient:** is the person receiving the exam\n",
        "* **Study:** is the imaging procedure being performed, at a certain date and time, in the hospital\n",
        "* **Series:** Each study consists of multiple series. A series may represent the patient being physically scanned multiple times in one study (typical for MRI), or it may be virtual, where the patient is scanned once and that data is reconstructed in different ways (typical for CT)\n",
        "\n",
        "* **Instance:** every slice of a 3D image is treated as a separate instance. In this context, “instance” is synonymous with the DICOM file itself.\n",
        "\n",
        "<br>\n",
        "\n",
        "To illustrate this hierarchy we use the \"tree\" tool to peek into a data folder downloaded from the TGCA-GBM dataset from the publicly available plateform  [The Cancer Imaging Archive (TCIA)](https://www.cancerimagingarchive.net/):  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BnEpRzPvsQbx"
      },
      "source": [
        "!apt-get install tree"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LZTOmSJWsbNW"
      },
      "source": [
        "!tree ./TCGA-02-0003/06-08-1997-NA-MRI\\ BRAIN\\ WW-O\\ CONTRAMR-81239 -f "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PzfwGr2KOiAc"
      },
      "source": [
        "## Loading the data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "id": "lWLqt-e5FfZi",
        "outputId": "5a8c6e50-d0e7-4e88-dd26-62073438ef85"
      },
      "source": [
        "#loading data to VM \n",
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-9783b0e1-6ab4-48a9-889d-b2d8f6448190\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-9783b0e1-6ab4-48a9-889d-b2d8f6448190\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving TCGA-02-0003.zip to TCGA-02-0003.zip\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XTefMo7qHy2C"
      },
      "source": [
        "!unzip -q TCGA-02-0003.zip"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JJqnM0X8Ok92"
      },
      "source": [
        "# Decoding with Tensorflow IO "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lIHXPQeSPCbv"
      },
      "source": [
        "## Install required packages, and restart runtime "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2cG9ITT8OY_3"
      },
      "source": [
        "try:\n",
        "  # Use the Colab's preinstalled TensorFlow 2.x\n",
        "  %tensorflow_version 2.x \n",
        "except:\n",
        "  pass"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pZCi5qUFPLrq"
      },
      "source": [
        "!pip install tensorflow-io"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2ue6oxbVPS9I"
      },
      "source": [
        "## Decode DICOM image"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n3QBBXTePZR6"
      },
      "source": [
        "### Loading libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Sh-Vh5wUPWCr"
      },
      "source": [
        "import os\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "import tensorflow as tf\n",
        "import tensorflow_io as tfio"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Sv8HTrlNQTv_"
      },
      "source": [
        "def show_image(image_path):\n",
        "  '''Displays a dcm image. The full path of the .dcm image should be given.\n",
        "  Uses the decode_dicom_image function of tensorflow_io\n",
        "  The lossy version is autoscaled.'''\n",
        "  image_bytes = tf.io.read_file(image_path)\n",
        "\n",
        "  image = tfio.image.decode_dicom_image(image_bytes, dtype=tf.uint16)\n",
        "\n",
        "  skipped = tfio.image.decode_dicom_image(image_bytes, on_error='skip', dtype=tf.uint8)\n",
        "\n",
        "  lossy_image = tfio.image.decode_dicom_image(image_bytes, scale='auto', on_error='lossy', dtype=tf.uint8)\n",
        "\n",
        "\n",
        "  fig, axes = plt.subplots(1,2, figsize=(10,10))\n",
        "  axes[0].imshow(np.squeeze(image.numpy()), cmap='gray')\n",
        "  axes[0].set_title('image')\n",
        "  axes[1].imshow(np.squeeze(lossy_image.numpy()), cmap='gray')\n",
        "  axes[1].set_title('lossy image'); "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 318
        },
        "id": "96N96oswQwoE",
        "outputId": "06a99d9f-b49b-4689-c56d-b22af096060d"
      },
      "source": [
        "show_image('/content/TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/1.000000-3P Localizer-98688/1-1.dcm')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 318
        },
        "id": "WdENETINRtaW",
        "outputId": "b4d16a2e-6c63-4eab-b5e9-ebd967ef80e1"
      },
      "source": [
        "show_image('/content/TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/1.000000-3P Localizer-98688/1-2.dcm')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gu3nK4XqR1e2"
      },
      "source": [
        "## Decode DICOM metadata\n",
        "Decode_dicom_data decodes tag information. dicom_tags contains useful information as the patient's age and sex, so you can use DICOM tags such as dicom_tags.PatientsAge and dicom_tags.PatientsSex. tensorflow_io borrow the same tag notation from the pydicom dicom package."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e9VNkvlwRzx-",
        "outputId": "b3255a04-1eea-4f34-8d59-3778d6c52815"
      },
      "source": [
        "tag_id = tfio.image.dicom_tags.PatientsAge\n",
        "tag_value = tfio.image.decode_dicom_data(image_bytes,tag_id)\n",
        "print(tag_value)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "tf.Tensor(b'050Y', shape=(), dtype=string)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HiJHLYX0UFzm",
        "outputId": "be2689ab-ca54-4779-cb15-10836013f69d"
      },
      "source": [
        "print(f\"PatientsAge : {tag_value.numpy().decode('UTF-8')}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "PatientsAge : 050Y\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OhtA3AoKUH53",
        "outputId": "fea840b8-7210-495d-eee6-4745056bd333"
      },
      "source": [
        "tag_id = tfio.image.dicom_tags.PatientsSex\n",
        "tag_value = tfio.image.decode_dicom_data(image_bytes,tag_id)\n",
        "print(f\"PatientsSex : {tag_value.numpy().decode('UTF-8')}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "PatientsSex : M\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ypwnqrFgOZjQ"
      },
      "source": [
        "## DICOM sorter CLI Tool"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dW4VWvVHJdIo",
        "outputId": "66116a1d-f63c-4ec1-fe89-3baf7f5e911d"
      },
      "source": [
        "# grabbing dicomsorter\n",
        "!git clone https://github.com/pieper/dicomsort.git"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'dicomsort'...\n",
            "remote: Enumerating objects: 126, done.\u001b[K\n",
            "remote: Total 126 (delta 0), reused 0 (delta 0), pack-reused 126\u001b[K\n",
            "Receiving objects: 100% (126/126), 37.03 KiB | 842.00 KiB/s, done.\n",
            "Resolving deltas: 100% (63/63), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_IfL4MU7XS-7"
      },
      "source": [
        "## Script"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FtHYvzB8nzd9"
      },
      "source": [
        "Below is a script from Alex Weston (Digital Innovation Lab, Mayo Clinic) that sorts dicom files using the metadata stored inside the files. <br>\n",
        "Pydicom and gdcm packages are needed for this script. For the gdcm package, a conda environment is required."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BHTXliQRnu6P",
        "outputId": "998a01f3-34ab-46df-f831-120b6e2618fb"
      },
      "source": [
        "!pip install -q condacolab\n",
        "import condacolab\n",
        "condacolab.install()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✨🍰✨ Everything looks OK!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U3v9s-EPowQ3"
      },
      "source": [
        "!conda install -c conda-forge gdcm -y"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HGk07kTooxIE"
      },
      "source": [
        "!conda install -c conda-forge pydicom"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nINhRHYbndts"
      },
      "source": [
        "import pydicom\n",
        "import gdcm"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tNj81K-5XStj",
        "outputId": "af3e6486-af47-4caf-d329-7077b99e5968"
      },
      "source": [
        "src = \"/content/TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/12.000000-AX T1-90444\" #source folder where the DICOM files are stored\n",
        "dst = \"/content/TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre\" # destination folder\n",
        "\n",
        "print('reading file list...')\n",
        "unsortedList = []\n",
        "for root, dirs, files in os.walk(src):\n",
        "    for file in files: \n",
        "        if \".dcm\" in file:# exclude non-dicoms, good for messy folders\n",
        "            unsortedList.append(os.path.join(root, file))\n",
        "\n",
        "print('%s files found.' % len(unsortedList))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "reading file list...\n",
            "25 files found.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qxJC84BPkkq9"
      },
      "source": [
        "def clean_text(string):\n",
        "    '''clean and standardize text descriptions, which makes searching files easier.\n",
        "    Replacing dangerous characters with underscore.'''\n",
        "    forbidden_symbols = [\"*\", \".\", \",\", \"\\\"\", \"\\\\\", \"/\", \"|\", \"[\", \"]\", \":\", \";\", \" \"]\n",
        "    for symbol in forbidden_symbols:\n",
        "        string = string.replace(symbol, \"_\") # replace everything with an underscore\n",
        "    return string.lower()  \n",
        "\n",
        "for dicom_loc in unsortedList:\n",
        "    # read the file\n",
        "    ds = pydicom.read_file(dicom_loc, force=True)\n",
        "    \n",
        "    # get patient, study, and series information\n",
        "    patientID = clean_text(ds.get(\"PatientID\", \"NA\"))\n",
        "    studyDate = clean_text(ds.get(\"StudyDate\", \"NA\"))\n",
        "    studyDescription = clean_text(ds.get(\"StudyDescription\", \"NA\"))\n",
        "    seriesDescription = clean_text(ds.get(\"SeriesDescription\", \"NA\"))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F2wXF_HJu9K-"
      },
      "source": [
        "The file name will be a concatenation of the Modality (CT, MRI, etc.), the Series UID, and the Instance Number. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D0o2FltUu9To"
      },
      "source": [
        "modality = ds.get(\"Modality\",\"NA\")\n",
        "seriesInstanceUID = ds.get(\"SeriesInstanceUID\",\"NA\")\n",
        "instanceNumber = str(ds.get(\"InstanceNumber\",\"0\"))\n",
        "fileName = modality + \".\" + seriesInstanceUID + \".\" + instanceNumber + \".dcm\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nLEtRXPNvL_f"
      },
      "source": [
        "# uncompress files (using the gdcm package)\n",
        "# File types like JPEG2000 can't be decompressed like this so they will be excluded\n",
        "try:\n",
        "  ds.decompress()\n",
        "except:\n",
        "  print('an instance in file %s - %s - %s - %s\" could not be decompressed. exiting.' % (patientID, studyDate, studyDescription, seriesDescription ))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ErOFQUlUwGI_"
      },
      "source": [
        "### Full script"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ygyNTKZ5v23r",
        "outputId": "8bbc2b87-876f-4b2b-8e76-2e98ce33a0c0"
      },
      "source": [
        "# Alex Weston\n",
        "# Digital Innovation Lab, Mayo Clinic\n",
        "\n",
        "import os\n",
        "import pydicom # pydicom is using the gdcm package for decompression\n",
        "\n",
        "def clean_text(string):\n",
        "  '''Clean and standardize text descriptions, which makes searching files easier.\n",
        "    Replacing dangerous characters with underscore.'''\n",
        "  forbidden_symbols = [\"*\", \".\", \",\", \"\\\"\", \"\\\\\", \"/\", \"|\", \"[\", \"]\", \":\", \";\", \" \"]\n",
        "  for symbol in forbidden_symbols:\n",
        "      string = string.replace(symbol, \"_\") # replace everything with an underscore\n",
        "  return string.lower()  \n",
        "   \n",
        "# user specified parameters\n",
        "src = \"/content/TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/12.000000-AX T1-90444\"\n",
        "dst = \"/content/TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre\"\n",
        "\n",
        "print('reading file list...')\n",
        "unsortedList = []\n",
        "for root, dirs, files in os.walk(src):\n",
        "  for file in files: \n",
        "      if \".dcm\" in file:# exclude non-dicoms, good for messy folders\n",
        "          unsortedList.append(os.path.join(root, file))\n",
        "\n",
        "print('%s files found.' % len(unsortedList))\n",
        "       \n",
        "for dicom_loc in unsortedList:\n",
        "  # read the file\n",
        "  ds = pydicom.read_file(dicom_loc, force=True)\n",
        "   \n",
        "  # get patient, study, and series information\n",
        "  patientID = clean_text(ds.get(\"PatientID\", \"NA\"))\n",
        "  studyDate = clean_text(ds.get(\"StudyDate\", \"NA\"))\n",
        "  studyDescription = clean_text(ds.get(\"StudyDescription\", \"NA\"))\n",
        "  seriesDescription = clean_text(ds.get(\"SeriesDescription\", \"NA\"))\n",
        "   \n",
        "  # generate new, standardized file name\n",
        "  modality = ds.get(\"Modality\",\"NA\")\n",
        "  studyInstanceUID = ds.get(\"StudyInstanceUID\",\"NA\")\n",
        "  seriesInstanceUID = ds.get(\"SeriesInstanceUID\",\"NA\")\n",
        "  instanceNumber = str(ds.get(\"InstanceNumber\",\"0\"))\n",
        "  fileName = modality + \".\" + seriesInstanceUID + \".\" + instanceNumber + \".dcm\"\n",
        "       \n",
        "  # uncompress files (using the gdcm package)\n",
        "  try:\n",
        "      ds.decompress()\n",
        "  except:\n",
        "      print('an instance in file %s - %s - %s - %s\" could not be decompressed. exiting.' % (patientID, studyDate, studyDescription, seriesDescription ))\n",
        "   \n",
        "  # save files to a 4-tier nested folder structure\n",
        "  if not os.path.exists(os.path.join(dst, patientID)):\n",
        "      os.makedirs(os.path.join(dst, patientID))\n",
        "   \n",
        "  if not os.path.exists(os.path.join(dst, patientID, studyDate)):\n",
        "      os.makedirs(os.path.join(dst, patientID, studyDate))\n",
        "       \n",
        "  if not os.path.exists(os.path.join(dst, patientID, studyDate, studyDescription)):\n",
        "      os.makedirs(os.path.join(dst, patientID, studyDate, studyDescription))\n",
        "       \n",
        "  if not os.path.exists(os.path.join(dst, patientID, studyDate, studyDescription, seriesDescription)):\n",
        "      os.makedirs(os.path.join(dst, patientID, studyDate, studyDescription, seriesDescription))\n",
        "      print('Saving out file: %s - %s - %s - %s.' % (patientID, studyDate, studyDescription, seriesDescription ))\n",
        "       \n",
        "  ds.save_as(os.path.join(dst, patientID, studyDate, studyDescription, seriesDescription, fileName))\n",
        "\n",
        "print('done.')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "reading file list...\n",
            "25 files found.\n",
            "Saving out file: tcga-02-0003 - 19970608 - mri__brain_w&w_o_contramr - ax_t1.\n",
            "done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RRamp-e99c5i"
      },
      "source": [
        "Visualizing th obtained folder structure:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M_KNoxLexAgD",
        "outputId": "0f3df0e0-d345-4e51-b0cb-1ce26a5a6c1b"
      },
      "source": [
        "!tree TCGA-02-0003/06-08-1997-NA-MRI\\ BRAIN\\ WW-O\\ CONTRAMR-81239/AX-T1-90444-pre/ -f"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre\n",
            "└── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003\n",
            "    └── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608\n",
            "        └── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr\n",
            "            └── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.10.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.11.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.12.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.13.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.14.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.15.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.16.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.17.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.18.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.19.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.1.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.20.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.21.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.22.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.23.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.24.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.25.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.2.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.3.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.4.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.5.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.6.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.7.dcm\n",
            "                ├── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.8.dcm\n",
            "                └── TCGA-02-0003/06-08-1997-NA-MRI BRAIN WW-O CONTRAMR-81239/AX-T1-90444-pre/tcga-02-0003/19970608/mri__brain_w&w_o_contramr/ax_t1/MR.1.3.6.1.4.1.14519.5.2.1.1706.4001.769579767788431533139923490444.9.dcm\n",
            "\n",
            "4 directories, 25 files\n"
          ]
        }
      ]
    }
  ]
}