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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Hauth, M., Gross, J., Straßer, W., & Buess, G. F. (2003). Soft tissue simulation based on measured data. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2878, 262–270. https://doi.org/10.1007/978-3-540-39899-8_33
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