2014 Summer Project Week:Tumor Heterogeneity Analysis
From NAMIC Wiki
Revision as of 18:50, 20 June 2014 by Vnarayan (talk | contribs) (Created page with '__NOTOC__ <gallery> Image:PW-MIT2014.png|Projects List </gallery> ==Key Investigators== *Vivek Narayan *Jayender Jagadeesan ==Project Desc…')
Home < 2014 Summer Project Week:Tumor Heterogeneity Analysis
Key Investigators
- Vivek Narayan
- Jayender Jagadeesan
Project Description
HeterogeneityCAD module for Slicer (openCAD Extension): Quantify the heterogeneity of Breast tumors and their parameter maps through several classes of metrics.
Objective
- Create a Slicer module to analyze a segmented tumor and its parameters maps (i.e. k-trans values from DCE-MRI).
- Implement known metrics to extract feature data
- Draft a framework to export, visualize, and compare information among cases and identify correlations between tumor phenotypes and image features.
Approach, Plan
- Design a Slicer module using python and numpy
- Research and implement various classes of metrics and features: i.e., first-order statistics, morphology/shape, fractal dimensions, geometrical measures, texture-based features
- Research spatial patterns in Breast tumor phenotypes and gene expression profiles.
Progress
- Implementing geometric measures and features derived from texture matrices, while researching new metrics.
