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 Citations (Scopus)

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
StatePublished - 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

Herniorrhaphy
Tissue
Laparoscopy
Surgery
Prostheses and Implants
Repair
Simulators
Feedback
Research

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)

Haptic herniorrhaphy simulation with robust and fast collision detection algorithm. / Shen, Yunhe; Devarajan, Venkat; Eberhart, Robert.

Studies in Health Technology and Informatics. Vol. 111 2005. p. 458-464.

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

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, 13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005, Long Beach, CA, United States, 1/26/05.
Shen Y, Devarajan V, Eberhart R. Haptic herniorrhaphy simulation with robust and fast collision detection algorithm. In Studies in Health Technology and Informatics. Vol. 111. 2005. p. 458-464
Shen, Yunhe ; Devarajan, Venkat ; Eberhart, Robert. / Haptic herniorrhaphy simulation with robust and fast collision detection algorithm. Studies in Health Technology and Informatics. Vol. 111 2005. pp. 458-464
@inproceedings{3675c19a99cb4f5d8ce9ec4e9dbff118,
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.",
author = "Yunhe Shen and Venkat Devarajan and Robert Eberhart",
year = "2005",
language = "English (US)",
isbn = "1586034987",
volume = "111",
pages = "458--464",
booktitle = "Studies in Health Technology and Informatics",

}

TY - GEN

T1 - Haptic herniorrhaphy simulation with robust and fast collision detection algorithm

AU - Shen, Yunhe

AU - Devarajan, Venkat

AU - Eberhart, Robert

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=23844521711&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=23844521711&partnerID=8YFLogxK

M3 - Conference contribution

C2 - 2005138289

AN - SCOPUS:23844521711

SN - 1586034987

SN - 9781586034986

VL - 111

SP - 458

EP - 464

BT - Studies in Health Technology and Informatics

ER -