Difference between revisions of "2014 Summer Project Week:Tumor Heterogeneity Analysis"

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*Design a Slicer module using python and numpy
 
*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 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.
 
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
*Implementing geometric measures and features derived from texture matrices, while researching new metrics.
 
*Implementing geometric measures and features derived from texture matrices, while researching new metrics.
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<h3>References</h3>
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*https://www.slicer.org/wiki/Documentation/Nightly/Extensions/OpenCAD
 
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Latest revision as of 17:25, 10 July 2017

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

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

Progress

  • Implementing geometric measures and features derived from texture matrices, while researching new metrics.