Model and Simulation Research of Tissue Based CT Images

Abstract

In this work, we introduce an extension of the linear elastic tensor-mass method allowing fast computation of non-linear and visco-elastic mechanical forces and deformations for the simulation of biological tissue. We aim at developing a simulation tool for the planning of bone surgical treatment based on CT data of special patient. Surgery simulation requires accurate modeling of the mechanical behavior of soft tissue and bone. In our systems, all joints were defined as contact surfaces, which allow relative articulating movement. The major ligaments were simulated using tension-only truss elements by connecting the corresponding attachment points on the bone surfaces. The bony and ligamentous structures were embedded in a volume of soft tissues. The muscles were defined as non-linear visco-elastic material, the skin, ligaments and tendons were defined as hyperelastic, while the bony structures were assumed to be linearly elastic. The multilayer FEM model containing thighbone, tibia, fibula, kneecap, soft tissue was formed after meshing. Diverse forces were imposed on the FEM model. The results showed that the multilayer FEM model can represent tissue deformation more accurately.