Abstract
We seek to compute a diffeomorphic map between a pair of diffusion-weighted images under large deformation. Unlike existing techniques, our method allows any diffusion model to be fitted after registration for subsequent multifaceted analysis. This is achieved by directly aligning the diffusion-weighted images using a large deformation diffeomorphic registration framework formulated from an optimal control perspective. Our algorithm seeks the optimal coordinate mapping by simultaneously considering structural alignment, local fiber reorientation, and deformation regularization. Our algorithm also incorporates a multi-kernel strategy to concurrently register anatomical structures of different scales. We demonstrate the efficacy of our approach using in vivo data and report on detailed qualitative and quantitative results in comparison with several different registration strategies.
Original language | English |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings |
Pages | 27-34 |
Number of pages | 8 |
Edition | PART 2 |
DOIs | |
Publication status | Published - 2013 Oct 24 |
Externally published | Yes |
Event | 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan Duration: 2013 Sept 22 → 2013 Sept 26 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 2 |
Volume | 8150 LNCS |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Other
Other | 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 |
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Country/Territory | Japan |
City | Nagoya |
Period | 13/9/22 → 13/9/26 |
Bibliographical note
Funding Information:This work was supported in part by a UNC start-up fund, NSF grants (EECS-1148870 and EECS-0925875) and NIH grants (EB006733, EB008374, EB009634, MH088520, AG041721, MH100217, and MH091645).
ASJC Scopus subject areas
- General Computer Science
- Theoretical Computer Science