Difference between revisions of "2008 Summer Project Week:EddyCurrentCorrection"
(New page: * ''Eddy Current Correction'' We implemented the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause...) |
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| + | |[[Image:ProjectWeek-2008.png|thumb|320px|Return to [[2008_Summer_Project_Week|Project Week Main Page]] ]] | ||
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|[[Image:DTIregistration.png|thumb|512px|Coronal slice from a unregisted DTI (left). The same slice after applying the registration model (right).]] | |[[Image:DTIregistration.png|thumb|512px|Coronal slice from a unregisted DTI (left). The same slice after applying the registration model (right).]] | ||
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| + | __NOTOC__ | ||
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| + | ===Key Investigators=== | ||
| + | * Utah: Ran Tao, Tom Fletcher, Ross Whitaker | ||
| + | * BWH: Sylvain Bouix | ||
| + | * GE: Xiaodong Tao | ||
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| + | <div style="margin: 20px;"> | ||
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| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
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| + | <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. | ||
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| + | </div> | ||
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| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
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| + | <h1>Approach, Plan</h1> | ||
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| + | Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>. | ||
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| + | Our plan for the project week is to first try out <bar>,... | ||
| + | </div> | ||
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| + | <div style="width: 40%; float: left;"> | ||
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| + | <h1>Progress</h1> | ||
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| + | Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|DTI Software Infrastructure]] project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract. | ||
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| + | </div> | ||
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| + | <br style="clear: both;" /> | ||
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| + | </div> | ||
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| + | ===References=== | ||
[1] G.K.Rohde, A.S.Barnett, P.J.Basser, S.Marenco, and C.Pierpaoli, et al., "Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI," Magnetic Resonance in Medicine 51:103-114(2004) | [1] G.K.Rohde, A.S.Barnett, P.J.Basser, S.Marenco, and C.Pierpaoli, et al., "Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI," Magnetic Resonance in Medicine 51:103-114(2004) | ||
Revision as of 18:15, 28 May 2008
Home < 2008 Summer Project Week:EddyCurrentCorrection Return to Project Week Main Page |
Key Investigators
- Utah: Ran Tao, Tom Fletcher, Ross Whitaker
- BWH: Sylvain Bouix
- GE: Xiaodong Tao
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.
Approach, Plan
Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>.
Our plan for the project week is to first try out <bar>,...
Progress
Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the DTI Software Infrastructure project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.
References
[1] G.K.Rohde, A.S.Barnett, P.J.Basser, S.Marenco, and C.Pierpaoli, et al., "Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI," Magnetic Resonance in Medicine 51:103-114(2004)
