Published in
Elsevier, NeuroImage, 1(45), p. S111-S122
DOI: 10.1016/j.neuroimage.2008.10.054
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- [www.ncbi.nlm.nih.gov] | PDF
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- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [citeseerx.ist.psu.edu] | PDF
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Mathematical Methods for Diffusion MRI Processing
Journal article published in 2008 by
Christoph Lenglet,
Jennifer S. W. Campbell,
Maxime Descoteaux,
Gloria Haro,
Peter Savadjiev,
Demian Wassermann,
Alfred Anwander 
,
Rachid Deriche,
G. Bruce Pike,
G. B. Pike,
Guillermo Sapiro,
Kaleem Siddiqi ,
Paul M. Thompson
,
Rachid Deriche,
G. Bruce Pike,
G. B. Pike,
Guillermo Sapiro,
Kaleem Siddiqi ,
Paul M. Thompson
This paper is made freely available by the publisher.
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Abstract
In this article, we review recent mathematical models and computational methods for the processing of diffusion Magnetic Resonance Images, including state-of-the-art reconstruction of diffusion models, cerebral white matter connectivity analysis, and segmentation techniques. We focus on Diffusion Tensor Images (DTI) and Q-Ball Images (QBI).