Author: Zachary Wooten
This repository contains code and data to reproduce most figures in the paper: Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning
Written by Zachary Wooten, Cenji Yu, Laurence Court, and Christine Peterson in 2022.
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MAIN_ShapeStatistics.R This is the main file to run that will reproduce all figures from extracted shape data.
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shapeHist.R This file contains the "shapeHist" function that takes in a 3-dimensional binary matrix representation of an organ contour and returns the histogram shape features
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bad_kidney_hist_PSB.csv : The Histogram data of shape features from 52 unaccaptable kidney contours
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good_kidney_hist_PSB.csv : The Histogram data of shape features from 260 accaptable kidney contours
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bad_kidney_2D_PSB.csv : The shape features for every axial slice per patient from 52 unaccaptable kidney contours
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good_kidney_2D_PSB.csv : The shape features for every axial slice per patient from 260 accaptable kidney contours
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unlab_kidney_hist_PSB.csv : The Histogram data of shape features from 36 unlabeled kidney contours