Difference between revisions of "Documentation/Nightly/Modules/YOURMODULENAME"

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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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Reference for 2-tensor tractography:
 
* http://pnl.bwh.harvard.edu/pub/papers_html/MalcolmIEEETransMed10.html
 
 
 
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.
 
 
 
  
 
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Latest revision as of 08:01, 14 June 2013

Home < Documentation < Nightly < Modules < YOURMODULENAME


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Introduction and Acknowledgements

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.
Author: FIRSTNAME LASTNAME, AFFILIATION
Contributor1: FIRSTNAME LASTNAME, AFFILIATION
Contributor2: FIRSTNAME LASTNAME, AFFILIATION
Contact: FIRSTNAME LASTNAME, <email>john@doe.org</email>

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Surgical Planning Laboratory (SPL) <-Replace this logo with yours  

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