TY - GEN
T1 - Diffeomorphic matching of diffusion tensor images
AU - Cao, Yan
AU - Miller, Michael I.
AU - Mori, Susumu
AU - Winslow, Raimond L.
AU - Younes, Laurent
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - This paper proposes a method to match diffusion tensor magnetic resonance images (DT-MRI) through the large deformation diffeomorphic metric mapping of tensor fields on the image volume, resulting in optimizing for geodesies on the space of diffeomorphisms connecting two diffusion tensor images. A coarse to fine multi-resolution and multikernel-width scheme is detailed, to reduce both ambiguities and computation load. This is illustrated by numerical experiments on DT-MRI brain and images.
AB - This paper proposes a method to match diffusion tensor magnetic resonance images (DT-MRI) through the large deformation diffeomorphic metric mapping of tensor fields on the image volume, resulting in optimizing for geodesies on the space of diffeomorphisms connecting two diffusion tensor images. A coarse to fine multi-resolution and multikernel-width scheme is detailed, to reduce both ambiguities and computation load. This is illustrated by numerical experiments on DT-MRI brain and images.
UR - http://www.scopus.com/inward/record.url?scp=33845547774&partnerID=8YFLogxK
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U2 - 10.1109/CVPRW.2006.65
DO - 10.1109/CVPRW.2006.65
M3 - Conference contribution
C2 - 20711423
AN - SCOPUS:33845547774
SN - 0769526462
SN - 9780769526461
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
BT - 2006 Conference on Computer Vision and Pattern Recognition Workshop
T2 - 2006 Conference on Computer Vision and Pattern Recognition Workshops
Y2 - 17 June 2006 through 22 June 2006
ER -