Difference between revisions of "2008 Summer Project Week:PopulationDTIApplication"
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|[[Image:ProjectWeek-2008.png|thumb|320px|Return to [[2008_Summer_Project_Week|Project Week Main Page]] ]] | |[[Image:ProjectWeek-2008.png|thumb|320px|Return to [[2008_Summer_Project_Week|Project Week Main Page]] ]] | ||
| − | |valign="top"|[[Image: | + | |valign="top"|[[Image:miratlas-cing-snap.png |thumb|320px|Population tensor atlas with Cingulum bundle tract using b-spline registration]] |
| + | |valign="top"|[[Image:Gcasey-atlas-slices.png |thumb|480px|Slices from atlases built with only affine registration, fluid registration, and b-spline registration]] | ||
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===Key Investigators=== | ===Key Investigators=== | ||
* Utah: Casey Goodlett, Guido Gerig | * Utah: Casey Goodlett, Guido Gerig | ||
| + | * MIT: Serdar Balci, Polina Golland | ||
* BWH: Marek Kubicki, Sylvain Bouix | * BWH: Marek Kubicki, Sylvain Bouix | ||
| + | * KItware: Brad Davis | ||
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
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<h1>Objective</h1> | <h1>Objective</h1> | ||
| − | + | We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison. In order to use fiber tracts in population studies, spatial normalization of the population is required. We have developed a framework around a non-open source groupwise registration tools. We would like to integrate an open source tool to provide a complete framework for statistical analysis. | |
</div> | </div> | ||
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Initial results will be generated before the project week on building DTI atlases using clinical Schizophrenia data. During the project week more specific plans for statistical analysis of fiber bundles across a population will be developed. | Initial results will be generated before the project week on building DTI atlases using clinical Schizophrenia data. During the project week more specific plans for statistical analysis of fiber bundles across a population will be developed. | ||
| + | |||
| + | Our approach for analyzing diffusion tensors is summarized in the MICCAI 2006 reference below. The main challenge to this approach is the lack of open source tools for groupwise registration. Serdar Balci and Polina Golland have provided a tool for b-spline groupwise registration as described in the reference below. | ||
| + | |||
| + | Our plan for the project week is to make sure the tools can be run in an integrated fashion and evaluate the results of the registration. | ||
</div> | </div> | ||
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====June 2008 Project Week==== | ====June 2008 Project Week==== | ||
| − | * Initial atlas built for data | + | * Initial atlas built for data and provided to Sylvain Bouix |
| − | * | + | * B-spline registration run on PNL data |
| − | * | + | * TODO: develop script to run procedure now that complete open source tools are available |
</div> | </div> | ||
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===References=== | ===References=== | ||
| − | [[Projects:DTIPopulationAnalysis]] | + | * [[Projects:DTIPopulationAnalysis]] |
| + | * [[Projects:GroupwiseRegistration]] | ||
| + | * Casey Goodlett, Brad Davis, Remi Jean, John Gilmore, Guido Gerig. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention, © Springer-Verlag LNCS vol. 4191, 2007. pp. 260 - 267. | ||
| + | * Casey Goodlett, P. Thomas Fletcher, John Gilmore, Guido Gerig. Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures. Accepted MICCAI 2008. | ||
| + | * Serdar K. Balci, Polina Golland, William M. Wells. Non-rigid Groupwise Registration using B-Spline Deformation Model. MICCAI Workshop on Open Source and Open Data 2008. | ||
Latest revision as of 14:42, 26 June 2008
Home < 2008 Summer Project Week:PopulationDTIApplication Return to Project Week Main Page |
Key Investigators
- Utah: Casey Goodlett, Guido Gerig
- MIT: Serdar Balci, Polina Golland
- BWH: Marek Kubicki, Sylvain Bouix
- KItware: Brad Davis
Objective
We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison. In order to use fiber tracts in population studies, spatial normalization of the population is required. We have developed a framework around a non-open source groupwise registration tools. We would like to integrate an open source tool to provide a complete framework for statistical analysis.
Approach, Plan
Initial results will be generated before the project week on building DTI atlases using clinical Schizophrenia data. During the project week more specific plans for statistical analysis of fiber bundles across a population will be developed.
Our approach for analyzing diffusion tensors is summarized in the MICCAI 2006 reference below. The main challenge to this approach is the lack of open source tools for groupwise registration. Serdar Balci and Polina Golland have provided a tool for b-spline groupwise registration as described in the reference below.
Our plan for the project week is to make sure the tools can be run in an integrated fashion and evaluate the results of the registration.
Progress
June 2008 Project Week
- Initial atlas built for data and provided to Sylvain Bouix
- B-spline registration run on PNL data
- TODO: develop script to run procedure now that complete open source tools are available
References
- Projects:DTIPopulationAnalysis
- Projects:GroupwiseRegistration
- Casey Goodlett, Brad Davis, Remi Jean, John Gilmore, Guido Gerig. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention, © Springer-Verlag LNCS vol. 4191, 2007. pp. 260 - 267.
- Casey Goodlett, P. Thomas Fletcher, John Gilmore, Guido Gerig. Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures. Accepted MICCAI 2008.
- Serdar K. Balci, Polina Golland, William M. Wells. Non-rigid Groupwise Registration using B-Spline Deformation Model. MICCAI Workshop on Open Source and Open Data 2008.
