Research on Parametric Modeling and Deformation Method of Human Muscle

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

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.

Key words: muscle modeling, characteristic curve, parameterization, volume preserving, dynamic deformation

CLC Number:

TP391.9

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.

Figures/Tables 10

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References 25

[1]	Lee Y S, Lee S, Ko M J, et al. Preservation of Deep Cervical Extensor Muscle Volume: Comparison Between Conventional Open-Door and Muscle Preserving Laminoplasty Approaches in the Same Patients[J]. World Neurosurgery (S1878-8750), 2020, 141: 514-523.
[2]	左力, 李锦涛. 用于实时变形的解剖学人体肌肉建模[J]. 系统仿真学报, 2003, 15(7): 934-938.
	Zuo Li, Li Jintao. Human Musculature Modeling for Real-time Deformation[J]. Journal of system simulation, 2003, 15(7): 934-938.
[3]	Ramos J, Larboulette C. A Muscle Model for Enhanced Character Skinning[J]. Journal of WSCG (S1213-6972), 2013, 21(2): 107-116.
[4]	Roussellet V, Rumman N A, Canezin F, et al. Dynamic Implicit Muscles for Character Skinning[J]. Computers & Graphics (S0097-8493), 2018, 77: 227-239.
[5]	赵勇, 刘光鹏, 彭群生. 近似刚性的快速点云变形算法[J]. 计算机辅助设计与图形学学报, 2013, 25(7): 955-962.
	Zhao Yong, Liu Guangpeng, Peng Qunsheng. As-Rigid-as-Possible Efficient Deformation Algorithm for Point Clouds[J]. Journal of Computer-Aided Design & Computer Graphics, 2013, 25(7): 955-962.
[6]	Kun Z, Jin H, John S, et al. Large Mesh Deformation Using the VOLUMETRIC GRAPH LAPLACIAN[J]. ACM Transactions on Graphics (S0730-0301), 2005, 24(3): 496-503.
[7]	Sauvage B, Hahmann S, Bonneau G. Volume Preservation of Multiresolution Meshes[J]. Computer Graphics Forum (S0167-7055), 2007, 26(3): 275-283.
[8]	杜正君, 张慧. 体积图控制的近似刚性的网格变形[J]. 计算机辅助设计与图形学学报, 2016, 28(2): 218-227.
	Du Zhengjun, Zhang Hui. As-Rigid-as-Possible Mesh Deformation Based on Volumetric Graph[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(2): 218-227.
[9]	Eisenberger M, Lhner Z, Cremers D. Divergence-Free Shape Correspondence by Deformation[J]. Computer Graphics Forum (S0167-7055), 2019, 38(5): 1-12.
[10]	Duan Y P, Huang W M, Chang H B, et al. Volume Preserved Mass-Spring Model with Novel Constraints for Soft Tissue Deformation[J]. IEEE Journal of Biomedical and Health Informatics (S2168-2194), 2016, 20(1): 268-280.
[11]	Peng Y, Ma Y, Wang Y, et al. The Application of Interactive Dynamic Virtual Surgical Simulation Visualization Method[J]. Multimedia Tools & Applications (S1380-7501), 2017, 76(23): 25197-25214.
[12]	孟奥, 赵庆军, 徐桓, 等. 基于Matlab实现MRI信噪比及图像均匀性自动检测系统的研究[J]. 中国医学装备, 2018, 15(3): 29-32.
	Meng Ao, Zhao Qingjun, Xu Huan, et al. Research on Automatic Detection System for Realizing Uniformity of Signal Noise Ratio and Image of MRI: Based on Matlab[J]. China Medical Equipment, 2018, 15(3): 29-32.
[13]	祝严刚, 张桂梅. 一种改进的非局部均值图像去噪算法[J]. 计算机工程与应用, 2017, 53(18): 192-198.
	Zhu Yangang, Zhang Guimei. Improved Non-Local Means Denoising Algorithm[J]. Computer Engineering and Applications, 2017, 53(18): 192-198.
[14]	Zhang Z B, Wang Y F. Object Contour Tracking Algorithm of Infrared Image Under Complex Background[J]. Journal of Advanced Computational Intelligence and Intelligent Informatics (S1343-0130), 2019, 23(2): 351-355.
[15]	Muchtar M A, Simanjuntak S E, Rahmat R F, et al. Identification Tibia and Fibula Bone Fracture Location Using Scanline Algorithm[J]. Journal of Physics: Conference Series (S1742-6588), 2018, 978(1): 012043.
[16]	王晓霞. 基于切片图像的三维人体表面建模研究[D]. 武汉: 武汉纺织大学, 2012.
	Wang Xiaoxia. Rescarch on the Surfacc Reconstruction of Three-Dimensional Human Body Based on Slice Image[D]. Wuhan: Wuhan Textile University, 2012.
[17]	王淋, 何坤金, 陈正鸣, 等. 基于特征点映射关系的接骨板系列化设计方法[J]. 计算机辅助设计与图形学学报, 2016, 28(9): 1587-1597.
	Wang Lin, He Kunjin, Chen Zhengming, et al. Serial Design Method for Plates Based on Feature Points Mapping Relation[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(9): 1587-1597.
[18]	孙霞, 何坤金. 基于语义参数的三维复杂模型变形方法研究[J]. 计算机应用研究, 2019, 36(5): 1577-1580, 1600.
	Sun Xia, He Kunjin. 3D Complex Models Deformation Based on Semantic Parameters[J]. Application Research of Computers, 2019, 36(5): 1577-1580, 1600.
[19]	You L H, Yang X, Zhang J J. Dynamic Skin Deformation with Characteristic Curves[J]. Computer Animation and Virtual Worlds (S1546-4261), 2008, 19(3/4): 433-444.
[20]	Chris C, Krerk P. Digital Image Processing Technique to Measure the Range of Motion of the Elbow[J]. Asian Biomedicine (S1905-7415), 2020, 14(1): 37-44.
[21]	陈罡, 周奇才, 吴菁, 等. 七自由度机械臂的ADAMS/ MATLAB联合仿真研究[J]. 系统仿真学报, 2017, 29(1): 99-106.
	Chen Gang, Zhou Qicai, Wu Jing, et al. Research for Co-simulation of 7DOF Manipulator Based on Adams and Matlab[J]. Journal of System Simulation, 2017, 29(1): 99-106.
[22]	翟东桢. 人体上肢屈臂过程肌肉力建模与分析[D]. 沈阳: 沈阳工业大学, 2019.
	Zhai Dongzhen. Modeling and Analysis of Muscle Force in the Upper a Flexing Process[D]. Shenyang: Shenyang University of Technology, 2019.
[23]	Shi X J, Liu T, Han T, et al. Improved Iterative Closest Point (ICP) 3D Point Cloud Registration Algorithm Based on Point Cloud Filtering and Adaptive Fireworks for Coarse Registration[J]. International Journal of Remote Sensing (S0143-1161), 2020, 41(8): 3197-3220.
[24]	Li T, Pan Q, Gao L, et al. A Novel Simplification Method of Point Cloud with Directed Hausdorff Distance[C]//2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD). Wellington, New Zealand: IEEE, 2017: 469-474.
[25]	韦成朋, 陈庆盈, 张钢. 肘关节运动姿态与其对应肌肉群肌电信号的测量与分析[J]. 计量与测试技术, 2018, 45(6): 10-12, 16.
	Wei Chengpeng, Chen Qingying, Zhang Gang. Measurement and Analysis for Motion Posture and Corresponding Muscle Group EMG Signals of Elbow Joint[J]. Metrology & Measurement Technique, 2018, 45(6): 10-12, 16.

序号	参数/cm					体积/cm³
序号	L	L₁	H	w₁₀	h₁₀	体积/cm³
1	57	11.1	7	3.5	2.9	244.435 3
2	55	10.2	7.3	3.7	3.1	244.580 1
3	50	8.7	8.2	4.2	3.4	245.304 3
4	45	7.3	9	4.6	3.7	245.835 3

序号	运动角度	最大值	平均值
1	1°±1°	5.099	2.064
1	80°±1°	3.335	1.434
2	80°±1°	3.709	1.573
2	110°±1°	2.935	1.405