Mathematical methods for diffusion MRI processing.
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).
Lenglet
C
C
Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, USA. clenglet@umn.edu
Campbell
J S W
JS
Descoteaux
M
M
Haro
G
G
Savadjiev
P
P
Wassermann
D
D
Anwander
A
A
Deriche
R
R
Pike
G B
GB
Sapiro
G
G
Siddiqi
K
K
Thompson
P M
PM
D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D019295:Computational Biology / Q000379:methods*; D038524:Diffusion Magnetic Resonance Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008962:Models, Theoretical