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).
Year
DOI
Venue
2009
10.1016/j.neuroimage.2008.10.054
NeuroImage
Keywords
Field
DocType
Diffusion MRI,Diffusion Tensor Imaging (DTI),High Angular Resolution Diffusion Imaging (HARDI),Q-Ball Imaging (QBI),Orientation Distribution Function (ODF),Spherical Harmonics (SH),Funk-Radon Transform (FRT),Sub-voxel fiber configurations,Tractography,Manifold learning,N-cuts,Stratification,Segmentation,Non-uniform complexity
Computer vision,Diffusion MRI,Segmentation,Cerebral white matter,Artificial intelligence,Mathematical model,Nonlinear dimensionality reduction,Tractography,Mathematics,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
45
1
1053-8119
Citations 
PageRank 
References 
34
1.35
42
Authors
12
Name
Order
Citations
PageRank
Christophe Lenglet188056.06
Jennifer S W Campbell225518.91
M Descoteaux3885.07
G. Haro4713.13
P Savadjiev5341.35
D Wassermann6953.35
Alfred Anwander756136.94
Rachid Deriche84903633.65
G B Pike9739.69
Guillermo Sapiro10148131051.92
Kaleem Siddiqi113259242.07
Paul Thompson123860321.32