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Related Experiment Video

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IBIS: an OR ready open-source platform for image-guided neurosurgery.

Simon Drouin1, Anna Kochanowska2, Marta Kersten-Oertel2

  • 1McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, WB 221, 3801 University Street, Montreal, QC, H3A 2B4, Canada. simon.drouin@mail.mcgill.ca.

International Journal of Computer Assisted Radiology and Surgery
|September 2, 2016
PubMed
Summary

The Intraoperative Brain Imaging System (IBIS) enhances neurosurgery navigation accuracy using tracked intraoperative ultrasound (iUS) and augmented reality (AR) visualization. This validated, open-source platform improves surgical precision and streamlines the integration of research into clinical practice.

Keywords:
Augmented realityBrain shift correctionImage-guided surgeryUltrasound

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computer-Aided Surgery

Background:

  • Neurosurgical navigation systems face challenges with accuracy degradation and complex 2D-to-3D image mapping.
  • Existing systems often require surgeons to mentally correlate monitor images with the surgical field, increasing cognitive load.
  • There is a need for improved intraoperative accuracy and intuitive visualization in image-guided neurosurgery.

Purpose of the Study:

  • Introduce the Intraoperative Brain Imaging System (IBIS), an open-source research platform for image-guided neurosurgery.
  • Enhance navigation accuracy through tracked intraoperative ultrasound (iUS) integration.
  • Facilitate intuitive visualization of navigation information using augmented reality (AR).

Main Methods:

  • IBIS utilizes tracked iUS for automatic updates to preoperative patient models via GPU-based reconstruction and registration.
  • Augmented reality (AR) provides a direct view for navigation, resection guidance, and iUS-based brain shift correction.
  • The platform includes a user-friendly interface for calibrating ultrasound probes, surgical pointers, and AR video devices.

Main Results:

  • IBIS components are validated in laboratory settings and operationalized in the operating room.
  • Image-to-patient registration accuracy is within [Formula: see text], improved to a median of 2.54 mm with iUS.
  • Ultrasound probe calibration accuracy ranges from 0.49 to 0.82 mm, with AR reprojection error of [Formula: see text].

Conclusions:

  • The IBIS platform is a validated system enabling rapid clinical evaluation of research advancements in neurosurgery.
  • It represents the first open-source navigation system offering comprehensive AR visualization capabilities.
  • IBIS addresses key limitations in current neurosurgical navigation, improving accuracy and surgeon visualization.