Brain-shift correction with image-based registration and landmark accuracy evaluation

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Abstract

We describe an algorithm and its implementation details for automatic image-based registration of intra-operative ultrasound to MRI for brain-shift correction during neurosurgery. It is evaluated on a public database of 22 surgeries for retrospective evaluation, with a particular focus on choosing the appropriate transformation model and designing the most meaningful evaluation strategy. The method succeeds in a fully automatic fashion in all cases, with an average landmark registration error for the rigid model of 1.75 mm.

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Wein, W. (2018). Brain-shift correction with image-based registration and landmark accuracy evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11042 LNCS, pp. 146–151). Springer Verlag. https://doi.org/10.1007/978-3-030-01045-4_17

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