Energy balance method for modelling of soft tissue deformation. (December 2017)

• Record Type: Journal Article
• Authors: Zhang, Jinao; Zhong, Yongmin; Gu, Chengfan
• Is Part Of: Computer aided design. Volume 93(2017)
• Page Start: 15
• Page End: 25
• Publication Date: 2017-12
• Subjects: Surgical simulation -- Soft tissue deformation -- Work–energy balance -- Anisotropy -- Viscoelasticity -- Strain energy density; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2017.07.006
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: This paper presents a novel methodology for modelling of soft tissue deformation, from the standpoint of work–energy balance based on the law of conservation of energy. The work done by an external force is always balanced against the strain energy due to the internal force of the object. A position-based incremental approach is established, in which the work–energy balance is achieved via an iterative position increment process for the new equilibrium state of the object. The position-based incremental approach is further combined with non-rigid mechanics of motion to govern the dynamics of soft tissue deformation. The proposed method employs nonlinear geometric and material formulations to account for the nonlinear soft tissue deformation. Soft tissue material properties can be accommodated by specifying strain energy density functions. Integration with a haptic device is also achieved for soft tissue deformation with haptic feedback for surgical simulation. Experimental results demonstrate that the deformations by the proposed method are in good agreement with those by a commercial package of finite element analysis. Isotropic and anisotropic deformations, as well as soft tissue viscoelastic behaviours, can be accommodated by the proposed methodology via strain energy density functions. Highlights: A position-based incremental approach based on the principle of work–energy balance. Nonlinear geometric and material formulations for nonlinear soft tissue deformation. Integration with a haptic device for soft tissue deformation with haptic feedback. Anisotropy and viscoelasticity are handled by strain energy density functions.