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Related Experiment Video

Updated: Jun 6, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
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Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

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A universal calibration framework for mixed-reality assisted surgery.

Sepehr Madani1, Amir Sayadi1, Robert Turcotte2

  • 1Surgical Performance Enhancement and Robotics (SuPER) Centre, Department of Surgery, McGill University, 1650 Cedar Avenue, Montreal QC H3G 1A4, Canada.

Computer Methods and Programs in Biomedicine
|November 27, 2024
PubMed
Summary

This study introduces a novel calibration method for mixed-reality (MR) surgery, achieving sub-millimetre accuracy for precise hologram-to-patient registration. The device-agnostic approach enhances surgical navigation and outcomes in MR-assisted procedures.

Keywords:
CalibrationDevice-agnosticHead-mounted displayMixed realityRegistrationSurgery

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Area of Science:

  • Medical Technology
  • Surgical Navigation
  • Mixed Reality

Background:

  • Mixed-reality (MR) surgery offers real-time 3D visualization for improved surgical planning and intraoperative adjustments.
  • Sub-millimetre accuracy in MR visualization is critical for mitigating risks and enhancing precision in surgical procedures.

Purpose of the Study:

  • To develop a device-agnostic, robust calibration method for sub-millimetre accuracy in MR camera-to-world registration.
  • To address uncertainties in mixed-reality camera calibration for hologram-to-patient anatomy registration.

Main Methods:

  • Utilized surgical navigation systems (NAV) for hand-eye calibration to localize the MR camera.
  • Integrated and tested the calibration method in a representative surgical system with varied 2D and 3D camera trajectories.

Main Results:

  • Achieved positional errors as low as 0.2 mm with a standard error of 0.2 mm, demonstrating robustness against camera motion.
  • The calibration method meets the stringent accuracy and stability requirements for surgical applications.

Conclusions:

  • The fiducial-based hand-eye calibration method integrates surgical navigation system accuracy into MR camera systems for intraoperative use.
  • This high-precision approach is critical for improving surgical navigation and patient outcomes in mixed-reality-assisted surgery.