Application and study of virtual reality in the diagnosis system of peritoneal effusion

Jie Chen; Li Nan Ren; Qing Han

doi:10.1117/12.2675155

25 May 2023 Application and study of virtual reality in the diagnosis system of peritoneal effusion

Jie Chen, Li Nan Ren, Qing Han

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126364F (2023) https://doi.org/10.1117/12.2675155
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

The virtual reality-based pneumoperitoneum diagnosis system is an important part of the simulation of laparotomy, and the simulation of pneumoperitoneum is the key to virtual puncture teaching. This paper conducts a test study on the frame rate, the rendering time per frame, the number of triangles and fixed points to be drawn and other related factors during the simulation of pneumoperitoneum. The paper compares the topographic water resources in the standard repository provided by unity and the water resources in the OBI particle system, and addresses the problems and shortcomings of the topographic water in the standard repository, which cannot flow due to gravity and has poor simulation quality, and the OBI particle system, which has low rendering frame rate and long rendering time for simulating water, and proposes a Shader Graph water rendering method based on the Shader Graph, and then simulates the peritoneal fluid through programming, improved rendering frame rate, reduced the number of unnecessary drawn triangles and vertices, and accelerated rendering time.

Citation Download Citation

Jie Chen, Li Nan Ren, and Qing Han "Application and study of virtual reality in the diagnosis system of peritoneal effusion", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126364F (25 May 2023); https://doi.org/10.1117/12.2675155

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