Difference between revisions of "UKF Tractography in Slicer 4"

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<h3>Objective</h3>
 
<h3>Objective</h3>
  
* We are developing methods for identifying scar tissue from CARMA data. Our previous method demonstrates an effective identification ability for DE-MRI data. In this method, the intensity distribution inside the LA myocardial wall is modeled as a mixture of Gaussians. To improve the performance of this method, we will integrate the intensity information from the LA chamber into the overall identification procedure.
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* To convert Dr. Rathi's UKF tractography Slicer3 module to a Slicer4 extension
* We will discuss possible improvements for scar identification.
 
  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Design an identification scheme using the LA intensity as a prior
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* Test the method using CARMA data
 
* Deliver the implementation in CLI module.
 
 
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<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">

Revision as of 14:49, 2 January 2013

Home < UKF Tractography in Slicer 4

Key Investigators

  • Ryan Eckbo, BWH, HMS
  • Yogesh Rathi, BWH, HMS

Project Description

Objective

  • To convert Dr. Rathi's UKF tractography Slicer3 module to a Slicer4 extension

Approach, Plan

Progress