Difference between revisions of "2013 Project Week Template"
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* 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 | + | * We will discuss possible improvements for scar identification. |
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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 04:02, 1 January 2013
Home < 2013 Project Week Template- Yourimagehere.png
Image description
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 possible improvements for scar identification.
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
