Difference between revisions of "2013 Project Week Template"

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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.  
 
* 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.  
 
+
* We will discuss
 
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</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Planned work here
+
* Design an identification scheme using the LA intensity as a prior
 +
* Test the method using CARMA data
 +
* Deliver the implementation in CLI module.
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">

Revision as of 04:01, 1 January 2013

Home < 2013 Project Week Template

Key Investigators

  • LiangJia Zhu, Allen Tannenbaum, UAB
  • Yi Gao, BWH
  • Josh Cates, Rob MacLeod, SCI

Project Description

Objective

  • 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.
  • We will discuss

Approach, Plan

  • Design an identification scheme using the LA intensity as a prior
  • Test the method using CARMA data
  • Deliver the implementation in CLI module.

Progress

  • Progress here