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.



Thanks to the entire team at ImFusion, both for some additional software development supporting this work, as well as providing valuable feedback.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.ImFusion GmbHMunichGermany

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