Title :
Soft Tissue Modeling using Nonlinear Mass Spring and Simplified Medial Representation
Author :
Feng Chen ; Lixu Gu ; Pengfei Huang ; Jingsi Zhang ; Jianrong Xu
Author_Institution :
Shanghai Jiao Tong Univ. (SJTU), Shanghai
Abstract :
In this paper, we present a novel approach for real-time simulation of deformable soft tissue. When using Mass-Spring or Finite Element Method to simulate the global deformation of soft tissue dynamically, we´ll meet the difficulty that the size of the 3D problem (the number of elements in the Mass-Spring or FEM mesh) is much larger than the 2D issue. So we put forward a hybrid model to solve the problems. This model consists of a deformable centerline and surface reconstruction mechanism based on simplified medial-representation algorithm and nonlinear mass-spring model, and we also proposed the local deformation method so that the accuracy is achieved and real-time requirement is also satisfied. We use a segmented left kidney and blood vessel as the examples in our case study.
Keywords :
biological tissues; biomechanics; biomedical imaging; blood vessels; deformation; finite element analysis; image reconstruction; kidney; medical image processing; physiological models; FEM mesh; deformable centerline; deformable soft tissue; finite element method; local deformation method; nonlinear mass spring; real-time simulation; segmented blood vessel; segmented left kidney; simplified medial-representation algorithm; soft tissue modeling; surface reconstruction mechanism; Application software; Biological tissues; Biomedical imaging; Computer graphics; Deformable models; Finite element methods; Skeleton; Solid modeling; Springs; Surgery; Algorithms; Animals; Computer Simulation; Connective Tissue; Elasticity; Humans; Models, Biological; Nonlinear Dynamics; Stress, Mechanical;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353483