A novel laparoscopic mesh placement part task trainer

Venkat Devarajan, Xiuzhong Wang, Yunhe Shen, Robert Eberhart, Mark J. Watson, Dan Jones, Leo Villegas

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Background: We present a surgical simulator, developed for the training of a laparoscopic surgery and in particular for mesh placement during an inguinal herniorrhaphy. Methods: Major technical issues related to virtual surgery training systems include virtual patient modelling, collision detection and collision response, haptic and graphic rendering, 3-D motion tracking and some special effects, such as bleeding, cauterizing and so on. Among these problems, real-time deformation modelling and collision detection are the most challenging research topics. Results: In this paper, we describe novel approaches addressing the above issues, which have been successfully adopted in our bimanual hernia repair simulator. Conclusion: The implementations of our new collision detection and deformation appear to work well, even at haptic rates for the limited scope of mesh placement training. More sophisticated techniques are needed for full organ deformation especially for blunt dissection simulation.

Original languageEnglish (US)
Pages (from-to)312-320
Number of pages9
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume2
Issue number4
DOIs
StatePublished - Dec 1 2006

Keywords

  • Collision detection
  • Haptics
  • Physically based deformation modelling
  • Surgery simulation
  • Virtual reality

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