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

72 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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10.1016/j.neuroimage.2008.10.054

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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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doi = "10.1016/j.neuroimage.2008.10.054",

language = "English (US)",

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pages = "S111--122",

journal = "NeuroImage",

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publisher = "Academic Press Inc.",

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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).

AB - 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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UR - https://www.scopus.com/pages/publications/65549119799#tab=citedBy

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VL - 45

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IS - 1 Suppl

ER -

Mathematical methods for diffusion MRI processing.

Abstract

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