Research on Parametric Modeling and Deformation Method of Human Muscle

Authors

Na Ni, 1.College of Internet of Things Engineering, Hohai University, Changzhou 213022, China;2.Changzhou City Key Laboratory of Orthopedic Implants Digital Technology, Changzhou 213022, China;Follow
Kunjin He, 1.College of Internet of Things Engineering, Hohai University, Changzhou 213022, China;2.Changzhou City Key Laboratory of Orthopedic Implants Digital Technology, Changzhou 213022, China;3.Engineering Research Center of Dredging Technology of Ministry of Education, Hohai University, Changzhou 213022, China;Follow
Xincheng Zhu, 1.College of Internet of Things Engineering, Hohai University, Changzhou 213022, China;2.Changzhou City Key Laboratory of Orthopedic Implants Digital Technology, Changzhou 213022, China;
Zhengming Chen, 1.College of Internet of Things Engineering, Hohai University, Changzhou 213022, China;2.Changzhou City Key Laboratory of Orthopedic Implants Digital Technology, Changzhou 213022, China;

Abstract

Abstract: Due to the volume preserving constraint of human muscle in the deformation process, and the lack of three-dimensional multi-angle representation of muscle motion, a parametric modeling and deformation method of human muscle is proposed. Based on MRI (magnetic resonance imaging) data, the external contour line is extracted from the slice image generated by MRI data to construct a three-dimensional muscle model; muscle features are defined hierarchically, and the mapping relationship between semantic parameters is established to realize the volume preserving deformation of muscle; by establishing a vector-valued dynamic fourth-order differential equation, the feature curve dynamically simulates the process of muscle deformation, and establishes the corresponding relationship between skeletal motion and muscle deformation. The effectiveness of this method is verified by experiments with biceps brachii as an example.

Recommended Citation

Ni, Na; He, Kunjin; Zhu, Xincheng; and Chen, Zhengming (2022) "Research on Parametric Modeling and Deformation Method of Human Muscle," Journal of System Simulation: Vol. 34: Iss. 5, Article 17.
DOI: 10.16182/j.issn1004731x.joss.20-1001
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss5/17

First Page

1109

Revised Date

2021-02-20

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-1001

Last Page

1117

CLC

TP391.9

Recommended Citation

Na Ni, Kunjin He, Xincheng Zhu, Zhengming Chen. Research on Parametric Modeling and Deformation Method of Human Muscle[J]. Journal of System Simulation, 2022, 34(5): 1109-1117.

Corresponding Author

Kunjin He,kjinhe@163.com

DOI

10.16182/j.issn1004731x.joss.20-1001