Image Phenotyping using the SlicerRadiomics Extension - 3D Slicer Tutorial
Channel: Prabhat Reddy
Date: 2021-09-30

This video tutorial is an introduction to performing Image Phenotyping using the SlicerRadiomics Extension in 3D Slicer. An MR Image of a brain tumor patient is chosen, from which the tumor is segmented. Following that, first order features and glcm features are extracted from the segmented tumor using the SlicerRadiomics extension and stored in a CSV file.

This video is based upon "An Introduction to Image Phenotyping", a 3D Slicer tutorial by Sonia Pujol, Ph.D., Assistant Professor of Radiology Brigham and Women’s Hospital at Harvard Medical School. 
Link to that tutorial: https://spujol.github.io/ImagePhenotypingTutorial/

3D Slicer is a free, open source and multi-platform software package widely used for medical, biomedical, and related imaging research.
3D Slicer Website: https://www.slicer.org/

SlicerRadiomics is an extension for 3D Slicer that encapsulates pyradiomics library, which in turn implements calculation of a variety of radiomics features.
SlicerRadiomics webpage: http://www.radiomics.io/slicerradiomics.html
Pyradiomics webpage: http://www.radiomics.io/pyradiomics.html

This video is taken as part of an assignment for the Medical Imaging course taken by Dr. Subrahmanyam Gorthi, from the Department of Electrical Engineering at the Indian Institute of Technology (IIT), Tirupati.