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).
Original language | English (US) |
---|---|
Pages (from-to) | S111-122 |
Journal | NeuroImage |
Volume | 45 |
Issue number | 1 Suppl |
DOIs | |
State | Published - Mar 2009 |
Bibliographical note
Funding Information:This work was partially supported by NIH (P41 RR008079, P30 NS057091, R01 EB007813, CON000000004051-3014, RO1 HD050735, P41 RR013642), ONR, NGA, NSF, DARPA, ARO, INRIA/NSF (0404617) under the US-France Cooperative Research Program, INRIA-Odyssée/MPI-HCBS PAI Procope, INRIA (DMRI ARC grant), INRIA/FQRNT/FFCR/Québec, NSERC Canada, the INRIA-Odyssée/EADS Foundation grant and the Spanish Ministerio de Ciencia e Innovación, under program Juan de la Cierva and project TEC2007-66858/TCM.