{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "40fce609-1142-4746-a912-70481ff809be", "metadata": {}, "outputs": [], "source": [ "#generate NPZ for entry from Imaging1, start in row n1 (from 0) and end before n2 (up to nrows), a total of n2-n1 files will be created in directory outdir\n", "#files will have random name with random id stored in the same dataset for subsequent data retrieval\n", "import generateNPZ\n", "import importlib\n", "importlib.reload(generateNPZ)\n", "project='iPNUMMretro/Study'\n", "outdir='Z:'\n", "db=generateNPZ.initDB('onko-nix')\n", "odb=generateNPZ.initOrthanc('onko-nix')\n", "\n", "files=generateNPZ.getFile(db,odb,project,outdir,n1=1,n2=2)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "05cb025f-1c44-4ddf-b859-8b8e9d2584a6", "metadata": {}, "outputs": [], "source": [ "import parseNPZ\n", "import os\n", "import importlib\n", "importlib.reload(parseNPZ)\n", "\n", "infile=os.path.join('Z:','6ebf549213805ee0.npz')\n", "infile=os.path.join('Z:','7c8a7ead6849be2c.npz')\n", "parseNPZ.generateNiftyFromNPZ(infile)\n", "#this will generate Z:/6ebf549213805ee0_CT.nii.gz and Z:/6ebf549213805ee0_PET.nii.gz\n" ] }, { "cell_type": "code", "execution_count": null, "id": "6d523d18-ede0-41aa-a93c-96123fa6abbc", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.0" } }, "nbformat": 4, "nbformat_minor": 5 }