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Enhancing surgical navigation: a robust hand-eye calibration method for the Microsoft HoloLens 2.

Daniel Allen1,2, Terry Peters3,4,5, Elvis C S Chen3,4,5,6

  • 1School of Biomedical Engineering, Western University, London, Ontario, Canada. dallen28@uwo.ca.

International Journal of Computer Assisted Radiology and Surgery
|September 11, 2024
PubMed
Summary

This study introduces a new hand-eye calibration method for the Microsoft HoloLens 2, improving augmented reality in surgery. The process achieves high accuracy without manual alignment, making virtual surgical navigation more reliable.

Keywords:
Augmented realityHand–eye calibrationHead-mounted displayMicrosoft HoloLens 2Minimally invasive surgeryOptical-see-throughSurgical navigation

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Area of Science:

  • Medical Augmented Reality
  • Surgical Navigation Systems
  • Computer-Assisted Surgery

Background:

  • Optical-see-through head-mounted displays (HMDs) offer potential for integrating virtual content into surgical settings.
  • Clinical adoption of HMDs in surgery is limited by tracking inaccuracies and manual alignment requirements.

Purpose of the Study:

  • To develop a simple, robust hand-eye calibration process for the Microsoft HoloLens 2 depth camera.
  • To enable accurate integration of virtual surgical information with real-world anatomy.

Main Methods:

  • A tracked surgical stylus with infrared reflective spheres was used as a calibration tool.
  • Monte Carlo simulations and a paired-fiducial registration algorithm were employed.
  • A user study validated the method in a clinical context.

Main Results:

  • A calibration accuracy of 1.65 mm was achieved using as few as 6 fiducial points.
  • User study participants achieved a mean accuracy of 1.67 mm in an average of 42 seconds.
  • Heuristics for optimizing calibration accuracy were presented.

Conclusions:

  • This work facilitates real-time hand-eye calibration for the Microsoft HoloLens 2, eliminating manual alignment.
  • The developed framework allows seamless integration of existing surgical navigation systems into AR environments with high accuracy.