Modeling of Three-Dimensional Soft Tissue Deformation with Dynamic Nonlinear Finite Element

Bahwini T,Smith J,Gu C,Zhong Y

doi:10.4172/2168-9873.1000237

Bahwini T, Smith J + Show 2 more

Open Access

https://doi.org/10.4172/2168-9873.1000237

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Abstract

Soft tissue deformation is a significant part of surgical simulation. This paper presents a dynamic nonlinear finite element method for modeling of soft tissue deformation. This method models large-range deformation via the secondorder Piola-Kirchhoff stress. It condenses the stiffness matrix to reduce the degrees of freedom of the entire soft body at each node for every time step to improve the computational performance. Simulations and comparison analysis show that the proposed method can predict the nonlinear behaviors of soft tissues and requires a small amount of time.

Highlights

Soft tissue deformation plays a vital role in surgical simulation [13]
Surgical simulation requires the mechanical interaction between soft tissues and surgical tools be realistic and in real-time [4]
The finite element method (FEM) is the exact opposite to the mass-spring model. It carries out soft tissue deformation based on rigorous laws in continuum mechanics, leading to high accuracy for modelling

Summary

Introduction

Soft tissue deformation plays a vital role in surgical simulation [13]. Surgical simulation requires the mechanical interaction between soft tissues and surgical tools be realistic and in real-time [4]. The mass-spring model and finite element method (FEM) are the most common modeling methods for soft tissue deformation [5]. The mass-spring model uses springs connected masses to carry out soft tissue deformation. It is simple in computation and easy to implement, but lacks the physical accuracy. The FEM is the exact opposite to the mass-spring model It carries out soft tissue deformation based on rigorous laws in continuum mechanics, leading to high accuracy for modelling. The rest of the paper is organized as follows: After the literature survey, section 3 details the proposed method for modelling of soft tissue deformation.

Literature Review

Methodology

Conclusion