系统仿真学报 ›› 2022, Vol. 34 ›› Issue (5): 1109-1117.doi: 10.16182/j.issn1004731x.joss.20-1001

• 仿真建模理论与方法 • 上一篇    下一篇

一种人体肌肉的参数化建模及变形方法研究

倪娜1,2(), 何坤金1,2,3(), 朱新成1,2, 陈正鸣1,2   

  1. 1.河海大学 物联网工程学院,江苏  常州  213022
    2.常州市图形图像与骨科植入物数字化技术重点实验室,江苏  常州  213022
    3.河海大学 疏浚技术教育部工程研究中心,江苏  常州  213022
  • 收稿日期:2020-12-14 修回日期:2021-02-20 出版日期:2022-05-18 发布日期:2022-05-25
  • 通讯作者: 何坤金 E-mail:nn737871359@163.com;kjinhe@163.com
  • 作者简介:倪娜(1997-),女,硕士生,研究方向为CAD&CG。E-mail:nn737871359@163.com
  • 基金资助:
    国家自然科学基金(61772172);常州市重点研发计划(社会发展科技支撑)(CE20195029);中央高校基本科研业务费专项(B200202036)

Research on Parametric Modeling and Deformation Method of Human Muscle

Na Ni1,2(), Kunjin He1,2,3(), Xincheng Zhu1,2, Zhengming Chen1,2   

  1. 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
  • Received:2020-12-14 Revised:2021-02-20 Online:2022-05-18 Published:2022-05-25
  • Contact: Kunjin He E-mail:nn737871359@163.com;kjinhe@163.com

摘要:

由于人体肌肉在变形过程中具有保体积的约束特性,且肌肉运动缺乏三维多角度呈现,为此,提出了一种人体肌肉的参数化建模及变形方法。基于MRI(magnetic resonance imaging)数据,利用其生成的切片图像提取外轮廓线进行构建三维肌肉模型;层次化定义肌肉特征,建立语义参数间的映射关系,实现肌肉的保体积变形;通过建立向量值动态四阶微分方程使特征曲线动态模拟肌肉的变形过程,并建立骨骼运动与肌肉变形之间的对应关系。以人体肱二头肌为例进行实验,验证了此方法的有效性。

关键词: 肌肉建模, 特征曲线, 参数化, 保体积, 动态变形

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

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