2011 Winter Project Week:DTI MRI Registration - Revision history

Anuja: /* Key Investigators */

2011-01-10T12:34:05Z

Key Investigators

Anuja at 19:47, 16 December 2010

2010-12-16T19:47:10Z

Anuja: /* Key Investigators */

2010-12-16T19:44:47Z

Key Investigators

Anuja: Created page with '==Key Investigators== * Utah: Anuja Sharma, Guido Gerig

Objective
To work on Tra…'

2010-12-16T19:42:34Z

Created page with '==Key Investigators== * Utah: Anuja Sharma, Guido Gerig <div style="margin: 20px;"> <div style="width: 27%; float: left; padding-right: 3%;"> <h3>Objective</h3> To work on Tra…'

New page

==Key Investigators==
* Utah: Anuja Sharma, Guido Gerig

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<div style="width: 27%; float: left; padding-right: 3%;">

<h3>Objective</h3>

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.

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<div style="width: 27%; float: left; padding-right: 3%;">

<h3>Approach, Plan</h3>

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.

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<h3>Progress</h3>

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==References==

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	==Key Investigators==		==Key Investigators==
	* Utah: Anuja Sharma, Guido Gerig		* Utah: Anuja Sharma, Guido Gerig

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 * Utah: Anuja Sharma, Guido Gerig
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 <h3>Objective</h3>
-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.
+To work on longitudinal DTI data from Traumatic Brain Injury data sets and Huntington's disease datasets. The aim is to analyze changes in diffusion in individual patients' follow up images. In the process, explore the inventory of tools needed (existing within or outside Slicer/ITK) and challenges faced in achieving the same, focusing mainly on DTI registration.
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 <h3>Approach, Plan</h3>
-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).
+Begin with utilizing the existing DTI registration resources for co-registering the images from individual subjects (at varying timepoints: intra-subject). The input images would be scalars derived from the DWI/DTI inputs. For the specific scenarios of TBI and HD, different algorithms/parameter settings for registration would be compared. The aim is to build an atlas using the transformed images and getting transformation fields back to each timepoint image. This would be applied to deform the tensor field and finally come up with a DTI atlas.
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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 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.
 </div>

2011 Winter Project Week:DTI MRI Registration - Revision history

Anuja: /* Key Investigators */

Anuja at 19:47, 16 December 2010

Anuja: /* Key Investigators */

Anuja: Created page with '==Key Investigators== * Utah: Anuja Sharma, Guido Gerig Objective To work on Tra…'

Objective

Anuja: Created page with '==Key Investigators== * Utah: Anuja Sharma, Guido Gerig

Objective
To work on Tra…'