Simulated augmented reality-based calibration of optical see-through head mound display for surgical navigation

Ho Gun Ha, Kyeongmo Gu, Deokgi Jeung, Jaesung Hong, Hyunki Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Calibration of an optical see-through head-mounted display is critical for augmented reality-based surgical navigation. While conventional methods have advanced, calibration errors remain significant. Moreover, prior research has focused primarily on calibration accuracy and procedure, neglecting the impact on the overall surgical navigation system. Consequently, these enhancements do not necessarily translate to accurate augmented reality in the optical see-through head mount due to systemic errors, including those in calibration. Method: This study introduces a simulated augmented reality-based calibration to address these issues. By replicating the augmented reality that appeared in the optical see-through head mount, the method achieves calibration that compensates for augmented reality errors, thereby reducing them. The process involves two distinct calibration approaches, followed by adjusting the transformation matrix to minimize displacement in the simulated augmented reality. Results: The efficacy of this method was assessed through two accuracy evaluations: registration accuracy and augmented reality accuracy. Experimental results showed an average translational error of 2.14 mm and rotational error of 1.06° across axes in both approaches. Additionally, augmented reality accuracy, measured by the overlay regions’ ratio, increased to approximately 95%. These findings confirm the enhancement in both calibration and augmented reality accuracy with the proposed method. Conclusion: The study presents a calibration method using simulated augmented reality, which minimizes augmented reality errors. This approach, requiring minimal manual intervention, offers a more robust and precise calibration technique for augmented reality applications in surgical navigation.

Original languageEnglish
Pages (from-to)1647-1657
Number of pages11
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume19
Issue number8
DOIs
StatePublished - Aug 2024

Bibliographical note

Publisher Copyright:
© CARS 2024.

Keywords

  • Augmented reality
  • Medical imaging
  • Optical see-through head mound display
  • Surgical navigation

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