Collision Detection and Tissue Modeling in a VR-Simulator for Eye Surgery

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Date
2002
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description

        
@inproceedings{
:10.2312/EGVE/EGVE02/027-036
, booktitle = {
Eurographics Workshop on Virtual Environments
}, editor = {
S. Mueller and W. Stuerzlinger
}, title = {{
Collision Detection and Tissue Modeling in a VR-Simulator for Eye Surgery
}}, author = {
Wagner, Clemens
and
Schill, Markus A.
and
Männer, Reinhard
}, year = {
2002
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-530X
}, ISBN = {
1-58113-535-1
}, DOI = {
/10.2312/EGVE/EGVE02/027-036
} }
Citation