Difference between revisions of "2014 Project Week:LongitudinalDTI"
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<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | * Patient specific modeling of longitudinal changes in | + | * Patient specific modeling of longitudinal changes in white matter integrity along tracts, with emphasis on seemingly unaffected regions of the brain. |
* Identify changes in fiber tract architecture along with possible loss of fibers along time. | * Identify changes in fiber tract architecture along with possible loss of fibers along time. | ||
* Correlate changes in tract geometry with the evolution of diffusion properties. | * Correlate changes in tract geometry with the evolution of diffusion properties. | ||
| + | * Specific goals for this week include DTI pre-processing to improve the quality of the tractography results that we have obtained in the past for our dataset. | ||
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | * | + | * Quality check of the TBI data using DTIPrep to correct for DTI related imaging artifacts, including checking for potential bias fields. |
| + | * Validation of the estimated DTI via glyph visualizations. | ||
| + | * Longitudinal co-registration of the patient's scans followed by tractography to verify the consistency of the extracted white matter tracts. | ||
| + | * Comparison of diffusion profiles along tract in a longitudinal setup to identify possible changes at the chronic timepoint. | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
Revision as of 18:55, 6 January 2014
Home < 2014 Project Week:LongitudinalDTI
Key Investigators
- Utah: Anuja Sharma, Bo Wang, Guido Gerig
- UCLA: Andrei Irimia, John D. Van Horn
- UNC: Martin Styner
Project Description
Objective
- Patient specific modeling of longitudinal changes in white matter integrity along tracts, with emphasis on seemingly unaffected regions of the brain.
- Identify changes in fiber tract architecture along with possible loss of fibers along time.
- Correlate changes in tract geometry with the evolution of diffusion properties.
- Specific goals for this week include DTI pre-processing to improve the quality of the tractography results that we have obtained in the past for our dataset.
Approach, Plan
- Quality check of the TBI data using DTIPrep to correct for DTI related imaging artifacts, including checking for potential bias fields.
- Validation of the estimated DTI via glyph visualizations.
- Longitudinal co-registration of the patient's scans followed by tractography to verify the consistency of the extracted white matter tracts.
- Comparison of diffusion profiles along tract in a longitudinal setup to identify possible changes at the chronic timepoint.
