A Microsurgery Simulation System

  • Joel Brown
  • Kevin Montgomery
  • Jean-Claude Latombe
  • Michael Stephanides
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2208)

Abstract

Computer systems for surgical planning and training are poised to greatly impact the traditional versions of these tasks. These systems provide an opportunity to learn surgical techniques with lower costs and lower risks. We have developed a virtual environment for the graphical visualization of complexsu rgical objects and real-time interaction with these objects using real surgical tools. An application for microsurgical training, in which the user sutures together virtual blood vessels, has been developed. This application demonstrates many facets of our system, including deformable object simulation, tool interactions, collision detection, and suture simulation. Here we present a broad outline of the system, which can be generalized for any anastomosis or other procedures, and a detailed look at the components of the microsurgery simulation.

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References

  1. 1.
    D. Terzopoulos and K. Waters. Physically-Based Facial Modelling, Analysis, and Animation. J. of Visualization and Computer Animation Vol 1: 73–80, 1990.Google Scholar
  2. 2.
    A. Joukhadar and C. Laugier. Dynamic Simulation: Model, Basic Algorithms, and Optimization. In Algorithms For Robotic Motion and Manipulation, J. Laumond and M. Overmars (eds.), A.K. Peters Publisher, pp. 419–434, 1997.Google Scholar
  3. 3.
    D. Baraff and A. Witkin. Large Steps in Cloth Simulation. ACM SIGGRAPH 98 Conference Proceedings, pp. 43–52, 1998.Google Scholar
  4. 4.
    R. Koch, M. Gross, F. Carls, D. von Büren, G. Fankhauser, and Y. Parish, Simulating Facial Surgery Using Finite Element Models. ACM SIGGRAPH 96 Conference Proceedings, pp. 421–428, 1996.Google Scholar
  5. 5.
    S. Pieper, D. Laub, and J. Rosen. A Finite-Element Facial Model for Simulating Plastic Surgery. Plastic and Reconstructive Surgery, 96(5): 1100–1105, Oct 1995.CrossRefGoogle Scholar
  6. 6.
    M. Bro-Nielsen and S. Cotin. Real-time Volumetric Deformable Models for Surgery Simulation using Finite Elements and Condensation. Computer Graphics Forum, 15(3): 57–66 (Eurographics’ 96), 1996.CrossRefGoogle Scholar
  7. 7.
    J. Berkley, S. Weghorst, H. Gladstone, G. Raugi, D. Berg, and M. Ganter. Fast Finite Element Modeling for Surgical Simulation. Proceedings of Medicine Meets Virtual Reality 1999, pp. 55–61, 1999.Google Scholar
  8. 8.
    U. Kühnapfel, H. K. Çakmak, H. Maaβ. Endoscopic Surgery Training Using Virtual Reality and Deformable Tissue Simulation. Computers & Graphics, Volume 24: 671–682, 2000.CrossRefGoogle Scholar
  9. 9.
    C. Basdogan. Simulation of Instrument-Tissue Interactions and System Integration. Medicine Meets Virtual Reality (MMVR2001), Newport Beach, CA, January 27, 2001, http://eis.jpl.nasa.gov/~basdogan/Tutorials/MMVRTuto01.pdf
  10. 10.
    S. Cotin, H. Delingette, and N. Ayache. Real-time Elastic Deformations of Soft Tissues for Surgery Simulation. IEEE Transactions On Visualization and Computer Graphics, 5(1): 62–73, January–March 1999.CrossRefGoogle Scholar
  11. 11.
    S. Cotin, H. Delingette, and N. Ayache. A Hybrid Elastic Model Allowing Real-Time Cutting, Deformations and Force-Feedback for Surgery Training and Simulation. The Visual Computer, 16(8): 437–452, 2000.MATHCrossRefGoogle Scholar
  12. 12.
    H. Delingette. Towards Realistic Soft Tissue Modeling in Medical Simulation. Proc. of the IEEE: Special Issue on Surgery Simulation, pp. 512–523, April 1998.Google Scholar
  13. 13.
    R. O’Toole, R. Playter, T. Krummel, W. Blank, N. Cornelius, W. Roberts, W. Bell, and M. Raibert. Measuring and Developing Suturing Technique with a Virtual Reality Surgical Simulator. J. of the American College of Surgeons, 189(1): 114–127, July 1999.CrossRefGoogle Scholar
  14. 14.
    S. Quinlan. Efficient Distance Computation Between Non-Convex Objects. Proc. IEEE Int. Conf. On Robotics and Automation, pp. 3324–3329, 1994.Google Scholar
  15. 15.
    S. Sorkin. Distance Computing Between Deformable Objects. Honors Thesis, Computer Sc. Dept., Stanford University, June 2000.Google Scholar
  16. 16.
    M. Lin and S. Gottschalk. Collision Detection Between Geometric Models: A Survey. Proc. of IMA Conference on Mathematics of Surfaces, pp. 37–56, 1998.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Joel Brown
    • 1
  • Kevin Montgomery
    • 2
  • Jean-Claude Latombe
    • 1
  • Michael Stephanides
    • 2
  1. 1.Computer Science DepartmentStanford UniversityUK
  2. 2.Department of SurgeryStanford UniversityUK

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