Haptic herniorrhaphy simulation with robust and fast collision detection algorithm

Yunhe Shen, Venkat Devarajan, Robert Eberhart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
Pages458-464
Number of pages7
Volume111
Publication statusPublished - 2005
Event13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005 - Long Beach, CA, United States
Duration: Jan 26 2005Jan 29 2005

Other

Other13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005
CountryUnited States
CityLong Beach, CA
Period1/26/051/29/05

    Fingerprint

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Shen, Y., Devarajan, V., & Eberhart, R. (2005). Haptic herniorrhaphy simulation with robust and fast collision detection algorithm. In Studies in Health Technology and Informatics (Vol. 111, pp. 458-464)