Difference between revisions of "Collaboration:College of William and Mary"
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(New page: This project is a funded in part from NSF and John Simon Guggenheim Foundation and its goals are three: (1) deliver guaranteed quality image-to-mesh conversion tools for non-rigid regis...) |
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| + | [[image:KubickiJPR2007-fig6.png|thumb|right|300px|Example of fiber tracking: High resolution MRI data post-processed using automated tracking procedure. Voxels within fiber bundles are color coded according to their FA values. [http://www.na-mic.org/Special:PubDB_View?dspaceid=99 More information] ]] | ||
| − | + | ==Abstract== | |
| + | This project has 3 goals: (1) deliver guaranteed quality image-to-mesh conversion tools for non-rigid registration of brain MRI, (2) develop parallel and distributed non-rigid registration of MRI images to meet the time constrains imposed by neurosurgery and (3) improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure. | ||
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| + | ==Grant==. | ||
| + | This project is a funded in part from NSF and John Simon Guggenheim Foundation | ||
| + | ==Key Personnel== | ||
| + | Nikos Chrisochoides, Center for Real-Time Computing, College of William and Mary. | ||
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| + | ==Projects== | ||
| + | ==Publications== | ||
| + | ==Resource Links== | ||
Revision as of 11:29, 3 June 2008
Home < Collaboration:College of William and MaryBack to NA-MIC_External_Collaborations
Example of fiber tracking: High resolution MRI data post-processed using automated tracking procedure. Voxels within fiber bundles are color coded according to their FA values. More information
Abstract
This project has 3 goals: (1) deliver guaranteed quality image-to-mesh conversion tools for non-rigid registration of brain MRI, (2) develop parallel and distributed non-rigid registration of MRI images to meet the time constrains imposed by neurosurgery and (3) improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure.
==Grant==.
This project is a funded in part from NSF and John Simon Guggenheim Foundation
Key Personnel
Nikos Chrisochoides, Center for Real-Time Computing, College of William and Mary.