Difference between revisions of "4D DTI analysis via longitudinal modeling of tract diffusivities"
From NAMIC Wiki
| Line 13: | Line 13: | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| + | * Preliminary longitudinal evaluation of white matter diffusion changes along specific tracts in TBI subjects. | ||
| + | * Collaborate with the UCLA team to evaluate results and discuss improvements. | ||
| + | |||
</div> | </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> | ||
| + | |||
| + | * Patient specific co-registration of acute and chronic DTI images. | ||
| + | * ROI based white matter tract extraction | ||
| + | * Assembling diffusion properties along tract in a space normalized fashion via a consistent mapping of tract geometry across timepoints. | ||
| + | * Modeling of diffusion changes along time by utilizing the complete cross-sectional distribution of diffusion values along tract. | ||
</div> | </div> | ||
| + | |||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
</div> | </div> | ||
</div> | </div> | ||
Revision as of 01:16, 7 January 2013
Home < 4D DTI analysis via longitudinal modeling of tract diffusivities
Key Investigators
Anuja Sharma, Bo Wang, Andrei Irimia, Micah Chambers, Jack Van Horn, Marcel Prastawa, Guido Gerig
Project Description
Objective
- Preliminary longitudinal evaluation of white matter diffusion changes along specific tracts in TBI subjects.
- Collaborate with the UCLA team to evaluate results and discuss improvements.
Approach, Plan
- Patient specific co-registration of acute and chronic DTI images.
- ROI based white matter tract extraction
- Assembling diffusion properties along tract in a space normalized fashion via a consistent mapping of tract geometry across timepoints.
- Modeling of diffusion changes along time by utilizing the complete cross-sectional distribution of diffusion values along tract.
