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).
authors.affiliation: Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, USA. clenglet@umn.edu
authors.forename: C
authors.initials: C
authors.lastname: Lenglet
authors.forename: J S W
authors.initials: JS
authors.lastname: Campbell
authors.forename: M
authors.initials: M
authors.lastname: Descoteaux
authors.forename: G
authors.initials: G
authors.lastname: Haro
authors.forename: P
authors.initials: P
authors.lastname: Savadjiev
authors.forename: D
authors.initials: D
authors.lastname: Wassermann
authors.forename: A
authors.initials: A
authors.lastname: Anwander
authors.forename: R
authors.initials: R
authors.lastname: Deriche
authors.forename: G B
authors.initials: GB
authors.lastname: Pike
authors.forename: G
authors.initials: G
authors.lastname: Sapiro
authors.forename: K
authors.initials: K
authors.lastname: Siddiqi
authors.forename: P M
authors.initials: PM
authors.lastname: Thompson
mesh_terms: 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