Mathematical methods for diffusion MRI processing

C Lenglet; J S W 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

Neuroimage. 2009 Mar;45(1 Suppl):S111-22. doi: 10.1016/j.neuroimage.2008.10.054. Epub 2008 Nov 13.

Authors

C Lenglet¹, J S W Campbell, M Descoteaux, G Haro, P Savadjiev, D Wassermann, A Anwander, R Deriche, G B Pike, G Sapiro, K Siddiqi, P M Thompson

Affiliation

¹ Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, USA. [email protected]

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).

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms
Brain / anatomy & histology*
Computational Biology / methods*
Diffusion Magnetic Resonance Imaging*
Humans
Image Processing, Computer-Assisted / methods*
Models, Theoretical

Abstract

Publication types

MeSH terms

Grants and funding