Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach

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Abstract

This paper describes the application of an established block-matching based registration approach to the CuRIOUS 2018 MICCAI registration challenge. Different variations of this method are compared to demonstrate possible results of a fully automatic and general approach. The results can be used as a reference, for example when evaluating the performance of methods that are specifically developed for ultrasound to MRI registration.

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Drobny, D., Vercauteren, T., Ourselin, S., & Modat, M. (2018). Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11042 LNCS, pp. 172–178). Springer Verlag. https://doi.org/10.1007/978-3-030-01045-4_21

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