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

Title
An effective visualization technique for depth perception in augmented reality-based surgical navigation
Author(s)
Choi, HyunseokCho, ByunghyunMasamune, KenHashizume, MakotoHong, Jaesung
Issued Date
2016-03
Citation
International Journal of Medical Robotics and Computer Assisted Surgery, v.12, no.1, pp.62 - 72
Type
Article
Author Keywords
augmented realityvirtual realitydepth perceptionsurgical navigation
Keywords
AccuracyAugmented RealityCALIBRATIONDepth PerceptionMICROSCOPEREGISTRATIONSurgical NavigationSYSTemVirtual Reality
ISSN
1478-5951
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. © 2016 John Wiley & Sons, Ltd.
URI
http://hdl.handle.net/20.500.11750/2549
DOI
10.1002/rcs.1657
Publisher
Wiley Blackwell
Related Researcher
  • 홍재성 Hong, Jaesung
  • Research Interests Surgical Navigation; Surgical Robot; Medical Imaging; 영상 유도 수술 로봇; 수술 내비게이션
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Appears in Collections:
Department of Robotics and Mechatronics Engineering Surgical Robotics & Augmented Reality Lab 1. Journal Articles

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