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A Soft Tissue Acupuncture Model Based on Mass-Spring Force Net

Xiaorui Zhang1,2,*, Tong Xu1, Wei Sun2, Jiali Duan1, Sunil Kumar Jha3

1 Jiangsu Engineering Center of Network Monitoring, Engineering Research Center of Digital Forensics, Ministry of Education, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China
2 Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China
3 Faculty of Information Technology, University of Information Technology and Management, Rzeszow, 35-225, Poland

* Corresponding Author: Xiaorui Zhang. Email: email

Computers, Materials & Continua 2021, 69(1), 727-745. https://doi.org/10.32604/cmc.2021.018182

Abstract

In the simulation of acupuncture manipulation, it is necessary to accurately capture the information of acupuncture points and particles around them. Therefore, a soft tissue modeling method that can accurately track model particles is needed. In this paper, a soft tissue acupuncture model based on the mass-spring force net is designed. MSM is used as the auxiliary model and the SHF model is combined. SHF is used to establish a three-layer soft tissue model of skin, fat, and muscle, and a layer of the MSM based force network is covered on the surface of soft tissue to realize the complementary advantages and disadvantages of spherical harmonic function and MSM. In addition, a springback algorithm is designed to simulate the springback phenomenon of soft tissue skin during acupuncture. The evaluation results show that the soft tissue acupuncture modeling method based on mass-spring force net can effectively simulate the springback phenomenon of soft tissue surface during acupuncture surgery, and has good comprehensive performance in the application of virtual acupuncture surgery simulation.

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Cite This Article

X. Zhang, T. Xu, W. Sun, J. Duan and S. Kumar Jha, "A soft tissue acupuncture model based on mass-spring force net," Computers, Materials & Continua, vol. 69, no.1, pp. 727–745, 2021.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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