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

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

70 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
Externally published	Yes

All Science Journal Classification (ASJC) codes

Neurology
Cognitive Neuroscience

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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).",

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language = "English (US)",

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T1 - Mathematical methods for diffusion MRI processing.

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.

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).

UR - https://www.scopus.com/pages/publications/65549119799

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

U2 - 10.1016/j.neuroimage.2008.10.054

DO - 10.1016/j.neuroimage.2008.10.054

M3 - Article

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AN - SCOPUS:65549119799

SN - 1053-8119

VL - 45

SP - S111-122

JO - Neuroimage

JF - Neuroimage

IS - 1 Suppl

ER -

Mathematical methods for diffusion MRI processing.

Abstract

All Science Journal Classification (ASJC) codes

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