In this work we describe an approach to creating virtual dissectible models from color cryosection data, such as the images from the Visible Human Project, using high-performance deformable and destructible shape constraints. Prior research on deformable body fracture has largely focused on achieving physically accurate simulations, usually at the expense of real-time performance. We sacrifice engineering-level simulation accuracy, as would be expected in a surgical simulation, in favor of visually plausible animation. We use position based dynamics (PBD) to implement the dissectible model as a grid of constrained particles displayed as textured volumetric splats. Results are shown for a variety of real-world datasets, and we demonstrate fracture modes that are crucial to anatomy education applications: cutting, tearing and excision. A performance analysis shows that our compute shader implementation is capable of faster real-time performance than MPM and FEM, making it suitable for this application.
McGraw et al. (Mon,) studied this question.