Difference between revisions of "2011 Winter Project Week:DTI MRI Registration"
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For TBI data, registration techniques like large deformation diffeomorphic mapping (LDDMM) and other nonlinear registration schemes would be compared and evaluated for feasibility. Another possibility would be to attempt registration between DTI scans using the corresponding sMRI scans which would be registered independently as the first step (being worked on by Bo Wang et al. from University of Utah). | For TBI data, registration techniques like large deformation diffeomorphic mapping (LDDMM) and other nonlinear registration schemes would be compared and evaluated for feasibility. Another possibility would be to attempt registration between DTI scans using the corresponding sMRI scans which would be registered independently as the first step (being worked on by Bo Wang et al. from University of Utah). | ||
| − | For the longitudinal analysis of DTI from HD, we would use the existing DTI-statistical-analysis framework with along-tract kernel regression followed by population based analysis to study disease related changes. The framework was originally developed by Casey Goodlett and has been modified and updated by the Utah and UNC groups. | + | For the longitudinal analysis of DTI from HD subjects, we would use the existing DTI-statistical-analysis framework with along-tract kernel regression, followed by population based analysis to study disease related changes. The framework was originally developed by Casey Goodlett and has been modified and updated by the Utah and UNC groups. |
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Revision as of 19:44, 16 December 2010
Home < 2011 Winter Project Week:DTI MRI RegistrationKey Investigators
- Utah: Anuja Sharma, Guido Gerig
Objective
To work on Traumatic Brain Injury data sets (from UCLA) and aim to register their DTI data using atlas building. Post successful registration, changes in the DTI data as a result of TBI would be studied.
As a collaborative effort with University of Iowa (Psychiatry), we might also be working on longitudinal analysis of DTI scans for Huntington's disease.
Approach, Plan
For TBI data, registration techniques like large deformation diffeomorphic mapping (LDDMM) and other nonlinear registration schemes would be compared and evaluated for feasibility. Another possibility would be to attempt registration between DTI scans using the corresponding sMRI scans which would be registered independently as the first step (being worked on by Bo Wang et al. from University of Utah).
For the longitudinal analysis of DTI from HD subjects, we would use the existing DTI-statistical-analysis framework with along-tract kernel regression, followed by population based analysis to study disease related changes. The framework was originally developed by Casey Goodlett and has been modified and updated by the Utah and UNC groups.
