Diffeomorphic image registration with automatic time-step adjustment
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
In this paper, we propose an automated Euler's time-step adjustment scheme for diffeomorphic image registration using stationary velocity fields (SVFs). The proposed variational problem aims at bounding the inverse consistency error by adaptively adjusting the number of Euler's step required to realize the time integration. This particular formulation allows us to gain computationally since only relevant number of time steps are taken. We parameterize the SVFs using multi-scale Wendland kernels through the kernel bundle framework. In terms of performance, the proposed scheme reaches the same accuracy as a fixed time-step scheme however at a much less computational cost.
Original language | English |
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Title of host publication | 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) |
Number of pages | 4 |
Publisher | IEEE |
Publication date | 2015 |
Pages | 1085-1088 |
ISBN (Electronic) | 978-1-4799-2374-8 |
DOIs | |
Publication status | Published - 2015 |
Event | 12th International Symposium on Biomedical Imaging (ISBI) - New York, United States Duration: 16 Apr 2015 → 19 Apr 2015 |
Conference
Conference | 12th International Symposium on Biomedical Imaging (ISBI) |
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Land | United States |
By | New York |
Periode | 16/04/2015 → 19/04/2015 |
ID: 147542955