Author: Caterina Brighi
Scripts for combining mpMRI data to obtain tumour probability maps to use for dose painting.
Setup/Build/Install To be able to use the above scipts you need to have the following python packages intalled: matplotlib SimpleITK numpy pandas datetime os glob gzip shutil xlsxwriter scipy dicom2nifti skimage
You also need to have the ImageAnalysisFunctions.py, ImageResultsVisualizationFunctions.py and ImageStatisticsFunctions.py files in the same folders as the other .py files of this repo.
Usage The main project file of this repository, containing a pipeline to use functional MRI data to develop tumor probability maps (according to the method in this publication Caterina Brighi, Paul J Keall, Lois C Holloway, Amy Walker, Brendan Whelan, Philip C de Witt Hamer, Niels Verburg, Farhannah Aly, Cathy Chen, Eng-Siew Koh, David E J Waddington, An investigation of the conformity, feasibility, and expected clinical benefits of multiparametric MRI-guided dose painting radiotherapy in glioblastoma, Neuro-Oncology Advances, Volume 4, Issue 1, January-December 2022, vdac134, https://doi.org/10.1093/noajnl/vdac134) and dose painting prescriptions is the mpMRI_QIN.py file. All the other files perform other tasks associated with this project.
Directory Structure NA
Citation
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