Toward realistic virtual surgical simulation: using heuristically parameterized anisotropic mass-spring model to simulate tissue mechanical responses
Mass-spring model is a popular method to simulate soft tissues in virtual surgery applications. However, the setting of appropriate model parameters to reproduce the real mechanical responses of the tissues, which is anisotropic in general, remains an issue. This paper presents a hybrid heuristic approach to identify the parameters by incorporating simulated annealing into genetic algorithms. The optimization process is performed with reference to the benchmarks obtained by applying continuum mechanics and the finite element method. Experiments are performed to evaluate the feasibility of the approach.
virtual reality medical education mass-spring model parameterization simulated annealing genetic algorithm
Kup-Sze Choi
School of Nursing The Hong Kong Polytechnic University Hung Horn, Kowloon, Hong Kong
国际会议
上海
英文
446-450
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）