Title
Diffeomorphic metric mapping of high angular resolution diffusion imaging based on Riemannian structure of orientation distribution functions.
Abstract
In this paper, we propose a novel large deformation diffeomorphic registration algorithm to align high angular resolution diffusion images (HARDI) characterized by orientation distribution functions (ODFs). Our proposed algorithm seeks an optimal diffeomorphism of large deformation between two ODF fields in a spatial volume domain and at the same time, locally reorients an ODF in a manner such tha...
Year
DOI
Venue
2012
10.1109/TMI.2011.2178253
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Measurement,Diffusion tensor imaging,Tensile stress,Probability density function,Vectors,Jacobian matrices,Manifolds
Affine transformation,Computer vision,Riemannian manifold,Large deformation diffeomorphic metric mapping,Artificial intelligence,Probability density function,Image resolution,Manifold,Diffeomorphism,Mathematics,Image registration
Journal
Volume
Issue
ISSN
31
5
0278-0062
Citations 
PageRank 
References 
17
0.74
25
Authors
3
Name
Order
Citations
PageRank
Jia Du1211.16
Alvina Goh225214.13
Anqi Qiu357138.34