A real-time knot detection algorithm for suturing simulation

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

Abstract

In this work, we present an efficient real-time method to detect knots in a virtual-reality suturing simulator. The knot detection method exploits the self-collision information on pairs of thread segments to detect the knot. Once the knot is detected, it is frozen for further evaluation in the simulator. This method was successfully tested for standard knots that are applied with the intracorporeal technique. We have shown that our method can detect knots in real-time for various thread lengths.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 17 - NextMed
Subtitle of host publicationDesign for/the Well Being
PublisherIOS Press
Pages289-291
Number of pages3
ISBN (Print)9781586039646
DOIs
StatePublished - 2009
Externally publishedYes
Event17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009 - Long Beach, CA, United States
Duration: Jan 19 2009Jan 22 2009

Publication series

NameStudies in Health Technology and Informatics
Volume142
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009
Country/TerritoryUnited States
CityLong Beach, CA
Period1/19/091/22/09

Keywords

  • Intracorporeal knot
  • Knot detection
  • Minimally invasive surgery
  • Surgical simulators

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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