Literature DB >> 22156291

Cubical Mass-Spring Model design based on a tensile deformation test and nonlinear material model.

Gaizka San-Vicente1, Iker Aguinaga, Juan Tomás Celigüeta.   

Abstract

Mass-Spring Models (MSMs) are used to simulate the mechanical behavior of deformable bodies such as soft tissues in medical applications. Although they are fast to compute, they lack accuracy and their design remains still a great challenge. The major difficulties in building realistic MSMs lie on the spring stiffness estimation and the topology identification. In this work, the mechanical behavior of MSMs under tensile loads is analyzed before studying the spring stiffness estimation. In particular, the performed qualitative and quantitative analysis of the behavior of cubical MSMs shows that they have a nonlinear response similar to hyperelastic material models. According to this behavior, a new method for spring stiffness estimation valid for linear and nonlinear material models is proposed. This method adjusts the stress-strain and compressibility curves to a given reference behavior. The accuracy of the MSMs designed with this method is tested taking as reference some soft-tissue simulations based on nonlinear Finite Element Method (FEM). The obtained results show that MSMs can be designed to realistically model the behavior of hyperelastic materials such as soft tissues and can become an interesting alternative to other approaches such as nonlinear FEM.

Mesh:

Year:  2012        PMID: 22156291     DOI: 10.1109/TVCG.2011.32

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  3 in total

1.  Local deformation for soft tissue simulation.

Authors:  Nadzeri Omar; Yongmin Zhong; Julian Smith; Chengfan Gu
Journal:  Bioengineered       Date:  2016-06-10       Impact factor: 3.269

2.  Personalized heterogeneous deformable model for fast volumetric registration.

Authors:  Weixin Si; Xiangyun Liao; Qiong Wang; Pheng Ann Heng
Journal:  Biomed Eng Online       Date:  2017-02-20       Impact factor: 2.819

3.  Soft Tissue Hybrid Model for Real-Time Simulations.

Authors:  Mario R Moreno-Guerra; Oscar Martínez-Romero; Luis Manuel Palacios-Pineda; Daniel Olvera-Trejo; José A Diaz-Elizondo; Eduardo Flores-Villalba; Jorge V L da Silva; Alex Elías-Zúñiga; Ciro A Rodriguez
Journal:  Polymers (Basel)       Date:  2022-03-30       Impact factor: 4.329

  3 in total

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