Soft Tissue Simulation Based on Measured Data

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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