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| + | We present a framework which uses an unscented Kalman filter for performing | ||
| + | tractography. At each point on the fiber the most consistent direction is found | ||
| + | as a mixture of previous estimates and of the local model. | ||
| + | |||
| + | It is very easy to expand the framework and to implement new fiber representations | ||
| + | for it. Currently it is possible to tract fibers using two different 1-, 2-, or 3-tensor | ||
| + | methods. Both methods use a mixture of Gaussian tensors. One limits the diffusion | ||
| + | ellipsoids to a cylindrical shape (the second and third eigenvalue are assumed to be | ||
| + | identical) and the other one uses a full tensor representation. | ||
| + | |||
| + | __Authors__: | ||
| + | Yogesh Rathi (yogesh@bwh.harvard.edu), Stefan Lienhard, Yinpeng Li, Martin | ||
| + | Styner, Ipek Oguz, Yundi Shi, Christian Baumgartner (c.f.baumgartner@gmail.com) | ||
| + | Ryan Eckbo | ||
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| + | |||
| + | |||
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Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm. | Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm. | ||
Revision as of 18:42, 26 January 2013
Home < Documentation < Nightly < Modules < YOURMODULENAMEIntroduction and Acknowledgements
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This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website. | |||||
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Module Description
We present a framework which uses an unscented Kalman filter for performing tractography. At each point on the fiber the most consistent direction is found as a mixture of previous estimates and of the local model.
It is very easy to expand the framework and to implement new fiber representations for it. Currently it is possible to tract fibers using two different 1-, 2-, or 3-tensor methods. Both methods use a mixture of Gaussian tensors. One limits the diffusion ellipsoids to a cylindrical shape (the second and third eigenvalue are assumed to be identical) and the other one uses a full tensor representation.
__Authors__: Yogesh Rathi (yogesh@bwh.harvard.edu), Stefan Lienhard, Yinpeng Li, Martin Styner, Ipek Oguz, Yundi Shi, Christian Baumgartner (c.f.baumgartner@gmail.com) Ryan Eckbo
Use Cases
N/A
Tutorials
N/A
Panels and their use
N/A
Similar Modules
N/A
References
Reference for 2-tensor tractography:
Reference for 1-tensor and 2-tensor + free-water:
- C. Baumgartner, O. Michailovich, O. Pasternak, S. Bouix, J. Levitt, ME Shenton, C-F Westin, Y. Rathi,
"A unified tractography framework for comparing diffusion models on clinical scans": in Workshop on computational diffusion MRI, 2012.
Information for Developers
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Section under construction. |
