Abstract
Virtual reality (VR) based computational fluid dynamics (CFD) simulations are emerging as a viable solution to guide complex surgical or invasive procedures, such as percutaneous coronary intervention (PCI), as they enable a realistic first-person experience of underlying patient anatomy and physiology. Realistic VR experience can be assessed by immersion, an objective VR property. However, it remains unclear how immersion influences virtual PCI procedures and what level of immersion is required. This study answers both these questions by evaluating the application of a CFD-based VR system and comparing semi-immersive and fully immersive VR displays. Nine patient-specific arterial models were simulated using CFD and used to conduct a quantitative user evaluation (n = 31) with both types of VR displays. The findings of this study reveal that VR immersion significantly improves the accuracy of simulated stent placement in complex arterial geometries, relative to traditional desktops with no immersion (p < 0.05). Higher accuracy is noted by the use of semi-immersive VR display, which offers higher display fidelity as compared to the fully immersive VR display (p < 0.05). Interestingly, CFD data mapped on to arterial geometries strongly influences the location of stent placement. This finding is demonstrated by the lack of significant accuracy deviation between the two immersive displays when CFD data is shown. This study provides compelling evidence that a CFD-based VR system rendered on semi-immersive displays can enable more accurate and efficient stent placement.
Original language | English |
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Title of host publication | Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings |
Editors | Dinggang Shen, Pew-Thian Yap, Tianming Liu, Terry M. Peters, Ali Khan, Lawrence H. Staib, Caroline Essert, Sean Zhou |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 366-374 |
Number of pages | 9 |
ISBN (Print) | 9783030322533 |
DOIs | |
State | Published - 2019 |
Event | 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 - Shenzhen, China Duration: Oct 13 2019 → Oct 17 2019 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11768 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 |
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Country/Territory | China |
City | Shenzhen |
Period | 10/13/19 → 10/17/19 |
Funding
Supported by Sigma Xi grant, Duke Theo Pilkington Fellowship and the Office of the Director, National Institutes Of Health under Award Number DP5OD019876.
Keywords
- Computational fluid dynamics
- Stent
- Virtual reality