Diffeomorphic image registration with automatic time-step adjustment

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-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 languageEnglish
Title of host publicationBiomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Number of pages4
Publication date2015
Publication statusPublished - 2015

ID: 147542955