Realistic force feedback for virtual reality based diagnostic surgery simulators

Virtual reality surgery simulators are almost certainly the future of endoscopic surgery trainers. While many aspects of such systems, such as the visualization of the operating scene, have been brought to satisfactory levels of resemblance to real endoscopic surgery, the haptic feedback simulation is one of the major obstacles remaining. The aim of this work is to describe the main components necessary for a realistic haptic feedback in surgery, concentrating on the modelling of soft organic tissue, necessary for the simulation of soft tissue deformation. We also present a method to measure in-vivo the material parameters figuring in the developed elastomechanical models of living tissues.

[1]  Roger A. Baumann,et al.  The PantoScope: a spherical remote-center-of-motion parallel manipulator for force reflection , 1997, Proceedings of International Conference on Robotics and Automation.

[2]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation , 1984, 1984 American Control Conference.

[3]  John Kenneth Salisbury,et al.  The Effect of coulomb friction and stiction on force control , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[4]  Hans Jelle Berg Prozessoptimierte numerische Verfahren zur Auslegung von wirkmedienunterstützten Umformvorgängen , 1997 .

[5]  M. Vannier,et al.  An inverse approach to determining myocardial material properties. , 1995, Journal of biomechanics.

[6]  Michael Bajka,et al.  Method and device for in-vivo measurement of elasto-mechanical properties of soft biological tissues , 1999 .

[7]  Christian Kuhn,et al.  Endosurgery simulations with KISMET: a flexible tool for surgical instrument design, operation room planning and VR technology based abdominal surgery training , 1995 .

[8]  Roger Baumann Haptic interface for virtual reality based laparoscopic surgery training environment , 1997 .

[9]  J A Weiss,et al.  Finite element implementation of anisotropic quasi-linear viscoelasticity using a discrete spectrum approximation. , 1998, Journal of biomechanical engineering.

[10]  F. G. Evans,et al.  Strength of biological materials , 1970 .

[11]  Richard Paul,et al.  Manipulator compliance based on joint torque control , 1980, 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[12]  D. R. Veronda,et al.  Mechanical characterization of skin-finite deformations. , 1970, Journal of biomechanics.

[13]  Wolfgang Müller,et al.  A Virtual Reality Medical Training System , 1995, CVRMed.

[14]  K. Bathe,et al.  A finite element formulation for nonlinear incompressible elastic and inelastic analysis , 1987 .

[15]  J. K. Salisbury,et al.  Kinesthetic coupling between operator and remote manipulator , 1980 .

[16]  Thomas H. Massie,et al.  The PHANToM Haptic Interface: A Device for Probing Virtual Objects , 1994 .

[17]  Gábor Székely,et al.  Modelling of soft tissue deformation for laparoscopic surgery simulation , 2000, Medical Image Anal..

[18]  K. Bathe Finite Element Procedures , 1995 .

[19]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation: Part I—Theory , 1985 .

[20]  S Sankar,et al.  Training environment for inferior vena caval filter placement. , 1998, Studies in health technology and informatics.

[21]  Grigore C. Burdea,et al.  Force and Touch Feedback for Virtual Reality , 1996 .

[22]  Yoshitaka Adachi The Development of a Haptic Interface for Virtual Reality , 1994 .

[23]  David W. L. Wang,et al.  A five-bar-linkage force reflecting interface for a virtual reality system , 1997, Proceedings of International Conference on Robotics and Automation.

[24]  Peter Niederer,et al.  Virtual Reality-Based Simulation of Endoscopic Surgery , 2000, Presence: Teleoperators & Virtual Environments.

[25]  W E Lorensen,et al.  Virtual endoscopy software application on a PC. , 1998, Studies in health technology and informatics.