Diffeomorphic image registration with automatic time-step adjustment

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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 languageEnglish
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Number of pages4
Publication date2015
ISBN (Electronic)978-1-4799-2374-8
Publication statusPublished - 2015
Event12th International Symposium on Biomedical Imaging (ISBI) - New York, United States
Duration: 16 Apr 201519 Apr 2015


Conference12th International Symposium on Biomedical Imaging (ISBI)
LandUnited States
ByNew York

ID: 147542955