Title
Affine coregistration of diffusion tensor magnetic resonance images using mutual information
Abstract
In this paper, we present an affine image coregistration technique for Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) data sets based on mutual information. The technique is based on a multi-channel approach where the diffusion weighted images are aligned according to the corresponding acquisition gradient directions. Also, in addition to the coregistration of the DT-MRI data sets, an appropriate reorientation of the diffusion tensor is worked out in order to remain consistent with the corresponding underlying anatomical structures. This reorientation strategy is determined from the spatial transformation while preserving the diffusion tensor shape. The method is fully automatic and has the advantage to be independent of the applied diffusion framework.
Year
DOI
Venue
2005
10.1007/11558484_66
ACIVS
Keywords
Field
DocType
corresponding acquisition gradient direction,reorientation strategy,diffusion tensor shape,mutual information,diffusion framework,diffusion weighted image,diffusion tensor,affine image coregistration technique,appropriate reorientation,diffusion tensor magnetic resonance,affine coregistration,dt-mri data set,corresponding underlying anatomical structure,magnetic resonance image
Affine transformation,Computer vision,Diffusion MRI,Data set,Computer science,Fractional anisotropy,Artificial intelligence,Mutual information,Spatial transformation,Image registration,Magnetic resonance imaging
Conference
Volume
ISSN
ISBN
3708
0302-9743
3-540-29032-X
Citations 
PageRank 
References 
17
1.17
13
Authors
5
Name
Order
Citations
PageRank
Alexander Leemans11406.56
Jan Sijbers263469.73
Steve De Backer320015.14
Everhard Vandervliet4562.68
Paul M Parizel51046.33