sliCERR Extension for 3DSlicer - cerr/CERR GitHub Wiki

Introduction

3DSlicer extension "sliCERR" was developed to facilitate the use of CERR's radiotherapy and image analysis functionality. The extension provides scripted modules for data I/O operations and specialized analysis routines in CERR. It is written in Python and can be run in Jupyter notebooks with 3D Slicer kernel for visualization and image processing. The cerr2mrml module handles the I/O operations of loading native CERR planC format files into the 3DSlicer MRML scene, including import of scan, dose and ROI contours. An user interface was developed in the 3DSlicer GUI to simplify the process of selecting CERR-format datasets for import in 3DSlicer. The use of specialized functions in CERR such as Deep Learning-based image segmentation and radiomics texture mapping are demonstrated in Jupyter notebooks which are publicly available on GitHub. These tools are all OS-independent, and can be run easily on Windows, Mac or Linux platforms.

Requirements