Title :
Improved collision detection algorithm for soft tissue deformable models
Author :
Castaneda, M. A Padilla ; Cosío, F. Arámbula
Author_Institution :
Image & Vision Lab, UNAM, Mexico
Abstract :
The virtual 3D models of human organs in surgery simulation must reproduce the complex viscoelastic deformable behavior of living soft tissue during interaction with virtual surgical tools. Collision detection is a crucial task for modelling and real-time simulation of surgical interactions. Few techniques for collision detection between moving bodies that involve tissue cutting and deformations have been reported. In this paper, we present an improved Quinlan algorithm for collision detection suitable for real-time tissue cutting and deformation simulation. We also present an example of the use of the algorithm in a prostate surgery simulation system.
Keywords :
biological tissues; collision avoidance; digital simulation; medical computing; surgery; Quinlan algorithm; collision detection; human organ; prostate surgery simulation system; real-time tissue cutting; soft tissue deformable model; tissue deformation simulation; virtual 3D model; virtual surgical tool; viscoelastic deformable behavior; Biological tissues; Computational modeling; Computer simulation; Deformable models; Detection algorithms; Endoscopes; Minimally invasive surgery; Surges; Surgical instruments; Topology;
Conference_Titel :
Computer Science, 2005. ENC 2005. Sixth Mexican International Conference on
Print_ISBN :
0-7695-2454-0
DOI :
10.1109/ENC.2005.25