Diffeomorphic Matching of Diffusion Tensor Images
Abstract
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 geodesics on the space of diffeomorphisms connecting two diffusion tensor images. A coarse to fine multi-resolution and multi-kernel-width scheme is detailed, to reduce both ambiguities and computation load. This is illustrated by numerical experiments on DT-MRI brain and images.
Cite
Text
Cao et al. "Diffeomorphic Matching of Diffusion Tensor Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006. doi:10.1109/CVPRW.2006.65Markdown
[Cao et al. "Diffeomorphic Matching of Diffusion Tensor Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006.](https://mlanthology.org/cvprw/2006/cao2006cvprw-diffeomorphic/) doi:10.1109/CVPRW.2006.65BibTeX
@inproceedings{cao2006cvprw-diffeomorphic,
title = {{Diffeomorphic Matching of Diffusion Tensor Images}},
author = {Cao, Yan and Miller, Michael I. and Mori, Susumu and Winslow, Raimond L. and Younes, Laurent},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2006},
pages = {67},
doi = {10.1109/CVPRW.2006.65},
url = {https://mlanthology.org/cvprw/2006/cao2006cvprw-diffeomorphic/}
}