Difference between revisions of "Projects/Diffusion/2007 Project Week DTI Population Analysis"
From NAMIC Wiki
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| − | + | [[Image:ProjectWeek-2007.png|thumb|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]] | |
| + | |||
| + | __NOTOC__ | ||
| + | ===Key Investigators=== | ||
| + | * UNC: Casey Goodlett, Guido Gerig | ||
| + | * Harvard: Marek Kubicki | ||
| + | |||
| + | |||
| + | <div style="margin: 20px;"> | ||
| + | |||
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
| + | <h1>Objective</h1> | ||
| + | We are developing methods for building atlases of DTI data to provide a reference coordinate system for statistical analysis. | ||
| + | |||
| + | |||
| + | </div> | ||
| + | |||
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
| + | |||
| + | <h1>Approaches and Challenges </h1> | ||
| + | |||
| + | Our approach for building a DTI atlas is based on non-rigid registration of tensor images using a shape measure for the tensor images to drive the registration process. Our goal is to separate the shape variability from the diffusion variability through the registration process. | ||
| + | </div> | ||
| + | |||
| + | <div style="width: 40%; float: left;"> | ||
| + | |||
| + | <h1>Progress</h1> | ||
| + | |||
| + | |||
| + | ====June 2007 Project Week==== | ||
| + | Our goal for the project week is to perform statistical analysis on the data provided by the PNL, which has already been registered using the procedure described in the links below. | ||
| + | |||
| + | |||
| + | </div> | ||
| + | |||
| + | <br style="clear: both;" /> | ||
| + | |||
| + | </div> | ||
| + | |||
==Additional Information== | ==Additional Information== | ||
| − | + | *[[Algorithm:UNC:DTI#Population_Analysis| Description of atlas procedure]] | |
| + | * Goodlett C, Davis B, Jean R, Gilmore J, Gerig G. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. MICCAI, 2006. [[Media:Goodlett-miccai06.pdf|PDF]] | ||
Revision as of 23:41, 25 May 2007
Home < Projects < Diffusion < 2007 Project Week DTI Population Analysis
Return to Project Week Main Page
Key Investigators
- UNC: Casey Goodlett, Guido Gerig
- Harvard: Marek Kubicki
Objective
We are developing methods for building atlases of DTI data to provide a reference coordinate system for statistical analysis.
Approaches and Challenges
Our approach for building a DTI atlas is based on non-rigid registration of tensor images using a shape measure for the tensor images to drive the registration process. Our goal is to separate the shape variability from the diffusion variability through the registration process.
Progress
June 2007 Project Week
Our goal for the project week is to perform statistical analysis on the data provided by the PNL, which has already been registered using the procedure described in the links below.
Additional Information
- Description of atlas procedure
- Goodlett C, Davis B, Jean R, Gilmore J, Gerig G. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. MICCAI, 2006. PDF
