A GPU accelerated spring mass system for surgical simulation.

by: J Mosegaard, P Herborg, TS Sørensen

Studies in health technology and informatics, Vol. 111 (2005), pp. 342-348.

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Abstract

There is a growing demand for surgical simulators to do fast and precise calculations of tissue deformation to simulate increasingly complex morphology in real-time. Unfortunately, even fast spring-mass based systems have slow convergence rates for large models. This paper presents a method to accelerate computation of a spring-mass system in order to simulate a complex organ such as the heart. This acceleration is achieved by taking advantage of modern graphics processing units (GPU).

@article{citeulike:2739940, abstract = {There is a growing demand for surgical simulators to do fast and precise calculations of tissue deformation to simulate increasingly complex morphology in real-time. Unfortunately, even fast spring-mass based systems have slow convergence rates for large models. This paper presents a method to accelerate computation of a spring-mass system in order to simulate a complex organ such as the heart. This acceleration is achieved by taking advantage of modern graphics processing units (GPU).}, address = {Department of Computer Science, University of Aarhus, Denmark.}, author = {Mosegaard, J. and Herborg, P. and Sørensen, T. S. }, citeulike-article-id = {2739940}, issn = {0926-9630}, journal = {Studies in health technology and informatics}, keywords = {pubmed-test}, pages = {342--348}, posted-at = {2008-04-30 21:17:41}, priority = {2}, title = {A GPU accelerated spring mass system for surgical simulation.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15718756}, volume = {111}, year = {2005} }

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TY - JOUR ID - citeulike:2739940 L3 - citeulike-article-id:2739940 TI - A GPU accelerated spring mass system for surgical simulation. JF - Studies in health technology and informatics VL - 111 SP - 342 EP - 348 AD - Department of Computer Science, University of Aarhus, Denmark. SN - 0926-9630 N2 - There is a growing demand for surgical simulators to do fast and precise calculations of tissue deformation to simulate increasingly complex morphology in real-time. Unfortunately, even fast spring-mass based systems have slow convergence rates for large models. This paper presents a method to accelerate computation of a spring-mass system in order to simulate a complex organ such as the heart. This acceleration is achieved by taking advantage of modern graphics processing units (GPU). KW - pubmed-test AU - Mosegaard, J AU - Herborg, P AU - Sørensen, TS PY - 2005/// UR - http://view.ncbi.nlm.nih.gov/pubmed/15718756 ER -

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