High-fidelity Simulation of Video-Assisted Thoracoscopic Surgery Lobectomy

Authors

Peng Liu, 1. Wuhan University of Technology, Wuhan 430070, China; ;2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; ;
Weixin Si, 2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; ;
Zheng Rui, 2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; ;
Xiangyun Liao, 2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; ;
Dongliang Xu, 1. Wuhan University of Technology, Wuhan 430070, China; ;
Ping'an Wang, 2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; ;3. The Chinese University of Hong Kong, Hong Kong 999077, China;

Abstract

Abstract: The virtual reality simulator of the video-assisted thoracoscopic (VATS) surgery lobectomy is of great value to the surgeon's surgical training and planning. In order to simulate the high-fidelity video-assisted thoracoscopic lobectomy, a VATS lobectomy simulator to realistically and efficiently simulate the different surgical operations during the VATS lobectomy procedure is developed. Based on the Position-Based Dynamics framework, the deformation induced by tool-tissue and tissue-tissue interactions, soft tissue cuts as well as subsequent surgical suture operations is simulated. The Marching Cubes algorithm is employed to achieve the surface rendering, especially for the cutting process. The GPU parallel computing technique is employed to accelerate the surgical simulation and surface rendering. The experimental results show that the proposed method can achieve high fidelity, stable and efficient VATS surgery simulation results.

Recommended Citation

Liu, Peng; Si, Weixin; Rui, Zheng; Liao, Xiangyun; Xu, Dongliang; and Wang, Ping'an (2020) "High-fidelity Simulation of Video-Assisted Thoracoscopic Surgery Lobectomy," Journal of System Simulation: Vol. 32: Iss. 5, Article 9.
DOI: 10.16182/j.issn1004731x.joss.18-CG0599
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss5/9

First Page

826

Revised Date

2018-11-23

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-CG0599

Last Page

836

CLC

TP391.41

Recommended Citation

Peng Liu, Si Weixin, Zheng Rui, Liao Xiangyun, Xu Dongliang, Wang Ping'an. High-fidelity Simulation of Video-Assisted Thoracoscopic Surgery Lobectomy[J]. Journal of System Simulation, 2020, 32(5): 826-836.

Corresponding Author

Weixin Si,

DOI

10.16182/j.issn1004731x.joss.18-CG0599