Mathematical methods for diffusion MRI processing.

C. Lenglet; J. S. Campbell; M. Descoteaux; G. Haro; P. Savadjiev; D. Wassermann; A. Anwander; R. Deriche; G. B. Pike; G. Sapiro; K. Siddiqi; P. M. Thompson

doi:10.1016/j.neuroimage.2008.10.054

Mathematical methods for diffusion MRI processing.

C. Lenglet, J. S. Campbell, M. Descoteaux, G. Haro, P. Savadjiev, D. Wassermann, A. Anwander, R. Deriche, G. B. Pike, G. Sapiro, K. Siddiqi, P. M. Thompson

Radiology

Research output: Contribution to journal › Article › peer-review

65 Scopus citations

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	https://doi.org/10.1016/j.neuroimage.2008.10.054
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.

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title = "Mathematical methods for diffusion MRI processing.",

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).",

author = "C. Lenglet and Campbell, {J. S.} and M. Descoteaux and G. Haro and P. Savadjiev and D. Wassermann and A. Anwander and R. Deriche and Pike, {G. B.} and G. Sapiro and K. Siddiqi and Thompson, {P. M.}",

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-Odyss{\'e}e/MPI-HCBS PAI Procope, INRIA (DMRI ARC grant), INRIA/FQRNT/FFCR/Qu{\'e}bec, NSERC Canada, the INRIA-Odyss{\'e}e/EADS Foundation grant and the Spanish Ministerio de Ciencia e Innovaci{\'o}n, under program Juan de la Cierva and project TEC2007-66858/TCM.",

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AU - Lenglet, C.

AU - Campbell, J. S.

AU - Descoteaux, M.

AU - Haro, G.

AU - Savadjiev, P.

AU - Wassermann, D.

AU - Anwander, A.

AU - Deriche, R.

AU - Pike, G. B.

AU - Sapiro, G.

AU - Siddiqi, K.

AU - Thompson, P. M.

N1 - 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.

PY - 2009/3

Y1 - 2009/3

N2 - 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).

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Mathematical methods for diffusion MRI processing.

Abstract

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