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- W2892354641 abstract "Soft tissue deformation induced by craniotomy and tissue manipulation (brain shift) limits the use of preoperative image overlay in an image-guided neurosurgery, and therefore reduces the accuracy of the surgery as a consequence. An inexpensive modality to compensate for the brain shift in real-time is Ultrasound (US). The core subject of research in this context is the non-rigid registration of preoperative MR and intraoperative US images. In this work, we propose a learning based approach to address this challenge. Resolving intraoperative brain shift is considered as an imitation game, where the optimal action (displacement) for each landmark on MR is trained with a multi-task network. The result shows a mean target error of 1.21 ± 0.55 mm." @default.
- W2892354641 created "2018-09-27" @default.
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- W2892354641 date "2018-01-01" @default.
- W2892354641 modified "2023-10-16" @default.
- W2892354641 title "Resolve Intraoperative Brain Shift as Imitation Game" @default.
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- W2892354641 doi "https://doi.org/10.1007/978-3-030-01045-4_15" @default.
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