Diffeomorphic matching of diffusion tensor images

Yan Cao, Michael I. Miller, Susumu Mori, Raimond Winslow, Laurent Younes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 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.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2006
DOIs
Publication statusPublished - 2006
Event2006 Conference on Computer Vision and Pattern Recognition Workshops - New York, NY, United States
Duration: Jun 17 2006Jun 22 2006

Other

Other2006 Conference on Computer Vision and Pattern Recognition Workshops
CountryUnited States
CityNew York, NY
Period6/17/066/22/06

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Cao, Y., Miller, M. I., Mori, S., Winslow, R., & Younes, L. (2006). Diffeomorphic matching of diffusion tensor images. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2006). [1640508] https://doi.org/10.1109/CVPRW.2006.65