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

Kup Sze Choi

doi:10.1109/ICETC.2010.5529212

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

Kup Sze Choi

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer
Volume	1
DOIs	https://doi.org/10.1109/ICETC.2010.5529212
Publication status	Published - 1 Sept 2010
Event	2010 2nd International Conference on Education Technology and Computer, ICETC 2010 - Shanghai, China Duration: 22 Jun 2010 → 24 Jun 2010

Conference

Conference	2010 2nd International Conference on Education Technology and Computer, ICETC 2010
Country/Territory	China
City	Shanghai
Period	22/06/10 → 24/06/10

Keywords

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

ASJC Scopus subject areas

Computer Science (miscellaneous)
Education

More information

10.1109/ICETC.2010.5529212

http://hdl.handle.net/10397/3876

Cite this

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

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.",

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Choi, KS 2010, Toward realistic virtual surgical simulation: Using heuristically parameterized anisotropic mass-spring model to simulate tissue mechanical responses. in ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer. vol. 1, 5529212, 2010 2nd International Conference on Education Technology and Computer, ICETC 2010, Shanghai, China, 22/06/10. https://doi.org/10.1109/ICETC.2010.5529212

Toward realistic virtual surgical simulation: Using heuristically parameterized anisotropic mass-spring model to simulate tissue mechanical responses. / Choi, Kup Sze.
ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer. Vol. 1 2010. 5529212.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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KW - Parameterization

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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