Toward realistic virtual surgical simulation: Using heuristically parameterized anisotropic mass-spring model to simulate tissue mechanical responses

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationICETC 2010 - 2010 2nd International Conference on Education Technology and Computer
Volume1
DOIs
Publication statusPublished - 1 Sep 2010
Event2010 2nd International Conference on Education Technology and Computer, ICETC 2010 - Shanghai, China
Duration: 22 Jun 201024 Jun 2010

Conference

Conference2010 2nd International Conference on Education Technology and Computer, ICETC 2010
Country/TerritoryChina
CityShanghai
Period22/06/1024/06/10

Keywords

  • Genetic algorithm
  • Mass-spring model
  • Medical education
  • Parameterization
  • Simulated annealing
  • Virtual reality

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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