title: Haptic herniorrhaphy simulation with robust and fast collision detection algorithm.
abstract: Collision detection and soft tissue deformation are two major research challenges in real time VR based simulation, especially when haptic feedback is required. We have developed a real time collision detection algorithm for a prototype laparoscopic surgery trainer. However, this algorithm makes no assumptions about its applications and thus can be a generic solution to complicated collision detection problems. For soft tissue modeling, we use the mass-spring model enhanced with volume constraint and, stability control methods. We use both the new collision detection and tissue modeling algorithms in a bimanual hernia repair simulator which performs a mesh prosthesis stapling operation in real time.
authors.affiliation: Joint BME Program in the University of Texas at Arlington and University of Texas Southwestern Medical Center at Dallas, Dallas, TX, USA.
authors.forename: Yunhe
authors.initials: Y
authors.lastname: Shen
authors.forename: Venkat
authors.initials: V
authors.lastname: Devarajan
authors.forename: Robert
authors.initials: R
authors.lastname: Eberhart
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006552:Hernia, Inguinal / Q000601:surgery*; D014110:Touch; D014584:User-Computer Interface