Collision detection and tissue modeling in a VR-simulator for eye surgery

Authors:
Clemens Wagner;Markus A. Schill;Reinhard Männer
Affiliations:
Universities of Mannheim and Heidelberg, Mannheim, Germany;Universities of Mannheim and Heidelberg, Mannheim, Germany;Universities of Mannheim and Heidelberg, Mannheim, Germany
Venue:
EGVE '02 Proceedings of the workshop on Virtual environments 2002
Year:
2002

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Abstract

This paper gives a survey of techniques for tissue interaction and discusses their application in the context of the intra-ocular training system EyeSi. As key interaction techniques collision detection and soft tissue modeling are identified. For collision detection in EyeSi, an enhanced image-based approach for collisions between deformable surfaces and rigid objects is presented. By exploiting the computing power of graphics processing units, it achieves higher performance than existing geometry-based approaches. Deformation vectors are computed and used for the biomechanical model. A mass-spring approach is shown to be powerful enough to bridge the gap between low computational demands and a convincing tissue behavior.