{"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":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\n\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-08-14T06:34:37.935234Z","iopub.execute_input":"2021-08-14T06:34:37.93561Z","iopub.status.idle":"2021-08-14T06:34:37.940857Z","shell.execute_reply.started":"2021-08-14T06:34:37.935578Z","shell.execute_reply":"2021-08-14T06:34:37.939483Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2021-08-14T06:36:41.441775Z","iopub.execute_input":"2021-08-14T06:36:41.442257Z","iopub.status.idle":"2021-08-14T06:36:41.448096Z","shell.execute_reply.started":"2021-08-14T06:36:41.442227Z","shell.execute_reply":"2021-08-14T06:36:41.446875Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import glob\nfrom tqdm import tqdm\nfolder_list=glob.glob('../input/dicom-nifti-1-of-1/*')\n\nfor n,i in tqdm(enumerate(folder_list)):\n    \n    folder_split = i.split('/0')\n    if len(folder_split)==1:\n        continue\n    series_id = folder_split[-1]\n    t1_file = glob.glob(folder_list[n]+'/*t1w.*')[0]\n    t1ce_file = glob.glob(folder_list[n]+'/*t1wce.*')[0]\n    t2_file = glob.glob(folder_list[n]+'/*t2w.*')[0]\n    flair_file = glob.glob(folder_list[n]+'/*flair.*')[0]\n    #os.rename(t1_file,f'brain_{series_id}_0000.nii.gz')\n    #os.rename(t1ce_file,f'brain_{series_id}_0001.nii.gz')\n    #os.rename(t2_file,f'brain_{series_id}_0002.nii.gz')\n    #os.rename(flair_file,f'brain_{series_id}_0003.nii.gz')\n    !cp '{t1_file}' 'brain_{series_id}_0000.nii.gz'\n    !cp '{t1ce_file}' 'brain_{series_id}_0001.nii.gz'\n    !cp '{t2_file}' 'brain_{series_id}_0002.nii.gz'\n    !cp '{flair_file}' 'brain_{series_id}_0003.nii.gz'","metadata":{"execution":{"iopub.status.busy":"2021-08-14T06:40:32.142304Z","iopub.execute_input":"2021-08-14T06:40:32.142829Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}