A GPU accelerated spring mass system for surgical simulation
Department of Computer Science, University of Aarhus, Denmark
Studies in health technology and informatics, Vol. 111 (2005), pp. 342-348
@article{mosegaard2005gpu,
title={A GPU accelerated spring mass system for surgical simulation},
author={Mosegaard, J. and Herborg, P. and Sorensen, T.S.},
journal={Studies in health technology and informatics},
volume={111},
pages={342–348},
issn={0926-9630},
year={2005},
publisher={IOS Press}
}
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).
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