Advertisement

A Virtual Environment for Core Skills Training in Vascular Interventional Radiology

  • Vincent Luboz
  • James Lai
  • Rafal Blazewski
  • Derek Gould
  • Fernando Bello
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5104)

Abstract

We present a prototype for a new virtual environment aiming at training interventional radiologists in the core skills involved in using catheters or guidewires. The instrument is modelled as a hybrid mass-spring particle system while the vasculature is a rigid triangulated surface mesh. A specially designed commercial haptic device allows the trainee to use real instruments to guide the simulation through synthetically generated vasculature with different degrees of complexity. Open source libraries are used for the visualisation and collision detection. Preliminary results show reasonable behaviour.

Keywords

hybrid mass-spring model haptic interventional radiology 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Seymour, N.E., Gallagher, A.G., Roman, S.A., OBrien, M.K., Bansal, V.K., Andersen, D.K., Satava, R.M.: Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Ann. Surg. 236, 458–463 (2002)CrossRefGoogle Scholar
  2. 2.
    Alderliesten, T., Konings, M.K., Niessen, W.J.: Modeling Friction, Intrinsic of Curvature, and Rotation Guide Wires for Simulation of Minimally Invasive Vascular Interventions. IEEE Transactions on Biomedical Engineering 54(1) (January 2007)Google Scholar
  3. 3.
    Basdogan, C., Ho, C., Srinivasan, M.A.: Virtual Environments for Medical Training: Graphical and Haptic Simulation of Common Bile Duct Exploration. IEEE/ASME Transactions on Mechatronics 6, 269–285 (2001)CrossRefGoogle Scholar
  4. 4.
    Witkin, A.: An Introduction to Physically Based Modeling. In: SIGGRAPH 2005 (2005), http://www.cs.cmu.edu/~baraff/pbm/pbm.html
  5. 5.
    Hudson, T., Lin, M., Cohen, J., Gottschalk, S., Manocha, D.: V-COLLIDE: Accelerated Collision Detection for VRML. In: Proc. of VRML 1997 (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Vincent Luboz
    • 1
  • James Lai
    • 1
  • Rafal Blazewski
    • 1
  • Derek Gould
    • 1
  • Fernando Bello
    • 1
  1. 1.Biosurgery and Surgical Technology DepartmentSORA, Imperial College LondonLondonUK

Personalised recommendations