1759

A GPU accelerated spring mass system for surgical simulation

J. Mosegaard, P. Herborg, T. S. Sorensen
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}

}

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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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