High Performance Implementation for Simulation of Brain Deformation

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Intraoperative movement of brain tissue is a central problem in the context of accuracy of image-guided neurosurgery. One of the strategies compensating for this issue is to perform a physically-based biomechanical simulation of the occurring phenomenon. Thereby, the computational expense is of big concern. In this paper, we present a parallel framework for modeling the intraoperative brain deformation. Within this system, it is possible to perform simulations on high resolution meshes even consisting of millions of elements. Experiments with the implemented algorithm using a cluster equipped with eight processors showed a great improvement in computation time in comparison to a standard single processor implementation.