Difference between revisions of "UKF Tractography in Slicer 4"
From NAMIC Wiki
(Created page with '__NOTOC__ <gallery> Image:PW-SLC2013.png|Projects List Image:ScarSeg_EM.png| Scar tissue identification. </gallery> ==Key Investigators=…') |
|||
| Line 7: | Line 7: | ||
==Key Investigators== | ==Key Investigators== | ||
| − | * Ryan Eckbo | + | * Ryan Eckbo, BWH, HMS |
| + | * Yogesh Rathi, BWH, HMS | ||
==Project Description== | ==Project Description== | ||
Revision as of 14:48, 2 January 2013
Home < UKF Tractography in Slicer 4
Scar tissue identification.
Key Investigators
- Ryan Eckbo, BWH, HMS
- Yogesh Rathi, BWH, HMS
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.
