Large deformation diffeomorphic metric mapping of fiber orientations

@article{Cao2005LargeDD,
  title={Large deformation diffeomorphic metric mapping of fiber orientations},
  author={Yan Cao and Michael I. Miller and Raimond L. Winslow and Laurent Younes},
  journal={Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1},
  year={2005},
  volume={2},
  pages={1379-1386 Vol. 2}
}
  • Yan Cao, M. Miller, +1 author L. Younes
  • Published 17 October 2005
  • Mathematics, Computer Science
  • Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
This paper proposes a method to match diffusion tensor magnetic resonance images (DT-MRI) through the large deformation diffeomorphic metric mapping of vector fields, focusing on the fiber orientations, considered as unit vector fields on the image volume. We study a suitable action of diffeomorphisms on such vector fields, and provide an extension of the large deformation diffeomorphic metric-mapping framework to this type of dataset, resulting in optimizing for geodesies on the space of… 
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