Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

arXiv:2405.09959v1 Announce Type: cross
Abstract: Intraoperative ultrasound (iUS) imaging has the potential to improve surgical outcomes in brain surgery. However, its interpretation is challenging, even for expert neurosurgeons. In this work, we designed the first patient-specific framework that performs brain tumor segmentation in trackerless iUS. To disambiguate ultrasound imaging and adapt to the neurosurgeon's surgical objective, a patient-specific real-time network is trained using synthetic ultrasound data generated by simulating virtual iUS sweep acquisitions in pre-operative MR data. Extensive experiments performed …

arxiv brain cs.cv eess.iv patient real-time segmentation type