An effective visualization technique for depth perception in augmented reality-based surgical navigation

Hyunseok Choi, Byunghyun Cho, Ken Masamune, Makoto Hashizume, Jaesung Hong

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Background: Depth perception is a major issue in augmented reality (AR)-based surgical navigation. We propose an AR and virtual reality (VR) switchable visualization system with distance information, and evaluate its performance in a surgical navigation set-up. Methods: To improve depth perception, seamless switching from AR to VR was implemented. In addition, the minimum distance between the tip of the surgical tool and the nearest organ was provided in real time. To evaluate the proposed techniques, five physicians and 20 non-medical volunteers participated in experiments. Results: Targeting error, time taken, and numbers of collisions were measured in simulation experiments. There was a statistically significant difference between a simple AR technique and the proposed technique. Conclusions: We confirmed that depth perception in AR could be improved by the proposed seamless switching between AR and VR, and providing an indication of the minimum distance also facilitated the surgical tasks.

Original languageEnglish
Pages (from-to)62-72
Number of pages11
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume12
Issue number1
DOIs
Publication statusPublished - Mar 1 2016

All Science Journal Classification (ASJC) codes

  • Surgery
  • Biophysics
  • Computer Science Applications

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