Title :
An Unfixed-elasticity Mass Spring Model based simulation for soft tissue deformation
Author :
Shuguo Wang ; Lili Chu ; YiLi Fu ; Wenpeng Gao
Author_Institution :
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
Abstract :
Mass Spring Model (MSM) and Finite Element Method(FEM) are the two basic models for soft tissue deformation simulation. MSM has high computation efficiency and low physical accuracy, while the case for FEM is just the reverse. How to simulate the deformation of the tissue in real time and accurately is still a challenging. This paper proposed an improved MSM by determining the parameters of MSM using FEM The improved MSM is called Unfixed-elasticity Mass Spring Model (UMSM), meaning the parameters of each spring is different from those of others, and will change gradually during deformation. The experimental results show a fairly realistic simulation can be generated by UMSM The results indicate that the UMSM has a relatively high reasonability and practicability.
Keywords :
biological tissues; biology computing; biomechanics; deformation; digital simulation; elasticity; finite element analysis; FEM; UMSM; finite element method; soft tissue deformation simulation; unfixed-elasticity mass spring model; Biological tissues; Computational modeling; Deformable models; Finite element analysis; Force; Mathematical model; Springs; finite element method; mass spring model; simulation; soft tissue deformation;
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
DOI :
10.1109/ICMA.2014.6885714