Abstract
Using methods from the computational sciences to improve the quality of health care is an important part of current medical progress. A particulary complex field is surgery simulation, where the fidelity of the systems is still unsatisfactory. We present a finite element system based on a sophisticated material law, better suited for dynamical computations than the standard approaches. To balance computational cost, a hierarchical basis is employed, allowing detail where needed. For time integration the use of a stabilized Runge-Kutta method is proposed.
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Hauth, M., Gross, J., Straßer, W., Buess, G.F. (2003). Soft Tissue Simulation Based on Measured Data. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_33
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DOI: https://doi.org/10.1007/978-3-540-39899-8_33
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