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Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument.

Aravind VenugopalSara MocciaSimone FotiArpita RoutrayRobert A MacLachlanAlessandro PerinLeonardo S MattosAlexander K YuJody LeonardoElena De MomiCameron N Riviere
Published in: International journal of computer assisted radiology and surgery (2022)
Real-time control of Micron was achieved at 33.3 fps. We achieved improvements in real-time segmentation of brain vasculature from intra-operative images and showed that our approach works even on non-stationary vessel phantoms. The results suggest that by enabling precise, real-time control, we are one step closer to using Micron in real neurosurgical procedures.
Keyphrases
  • deep learning
  • convolutional neural network
  • white matter
  • resting state
  • optical coherence tomography
  • liquid chromatography
  • brain injury
  • cerebral ischemia
  • subarachnoid hemorrhage