Difference between revisions of "2009 Winter Project Week Tumor Microenvironment"

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<h1>Objective</h1>
 
<h1>Objective</h1>
  
To implement a microscopy image analysis pipeline in Slicer3, specifically tailored for characterizing the tumor microenvironment as observed in the  murine breast tumors.
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To implement a microscopy image analysis pipeline in Slicer3, specifically tailored for characterizing the tumor microenvironment as observed in the  murine breast tumors. The goal will be to validate the theories shown as schematic from [Vargo-Gogola 2007] (rightmost image).
 
 
 
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Integrate existing segmentation, validation and labeling pipelines into the Slicer3 framework.  
 
Integrate existing segmentation, validation and labeling pipelines into the Slicer3 framework.  
Begin with level set methods of Mosaliganti et al. Then the tessellation based method of the same authors, time permitting.  
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Begin with level set methods of [Mosaliganti 2007] (middle image). Then the tessellation based method of the same authors, time permitting. Explore what can be obtained with EMSegement of Slicer3. Compare and contrast all sets of results.   
Explore what can be obtained with EMSegement of Slicer3. Compare and contrast all sets of results.   
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Also, explore labeling capabilities of Slicer3.
Also, explore preliminary labeling.
 
  
 
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<h1>Progress</h1>
 
<h1>Progress</h1>
  
Updated every day.
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Updated every day of Project Week.
  
  

Revision as of 17:04, 5 January 2009

Home < 2009 Winter Project Week Tumor Microenvironment
Tme snapshot2.jpg
Snap3.jpg



Key Investigators

  • The Ohio State University: Shantanu Singh, Raghu Machiraju
  • GE Global Research: Jens Rittscher
  • BWH: Michael Halle, Steve Pieper, Wendy Plesniak


Objective

To implement a microscopy image analysis pipeline in Slicer3, specifically tailored for characterizing the tumor microenvironment as observed in the murine breast tumors. The goal will be to validate the theories shown as schematic from [Vargo-Gogola 2007] (rightmost image).

Approach, Plan

Integrate existing segmentation, validation and labeling pipelines into the Slicer3 framework. Begin with level set methods of [Mosaliganti 2007] (middle image). Then the tessellation based method of the same authors, time permitting. Explore what can be obtained with EMSegement of Slicer3. Compare and contrast all sets of results. Also, explore labeling capabilities of Slicer3.

Progress

Updated every day of Project Week.



References