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ICRA 2004

Multi-scale Simulation for Microsurgery Trainer

Conference Paper Virtual Reality Applications and Haptics Artificial Intelligence ยท Robotics

Abstract

For use in a Virtual Reality based training system for surgical micromanipulation, we have developed a fast multi-scale FEM algorithm that concentrates detail where needed while still handling global deformations. The resulting 6-to-7-fold speed up is promising for the development of real-time simulation of the mechanical response of a virtual organ or tissue. FEM algorithm uses elements from multiple levels in a hierarchy of mesh similar to the progressive mesh. This algorithm has been integrated with a visual/haptic feedback workstation.

Authors

Keywords

  • Microsurgery
  • Surgery
  • Deformable models
  • Microscopy
  • Haptic interfaces
  • Computational modeling
  • Force feedback
  • Skin
  • Needles
  • Elasticity
  • Finite Element Method
  • Fast Algorithm
  • Simulated Evolution
  • Real-time Simulation
  • Multiscale Algorithm
  • Root Mean Square Error
  • Degrees Of Freedom
  • Soft Tissue
  • Computation Time
  • Fine Scale
  • Visual Feedback
  • Point-like
  • Series Of Solutions
  • Stiffness Matrix
  • Visual Display
  • Fine Mesh
  • Appendix For Details
  • Slight Loss
  • Small Elements
  • Concentrated Force
  • Surgical Simulation
  • Global Stiffness Matrix

Context

Venue
IEEE International Conference on Robotics and Automation
Archive span
1984-2025
Indexed papers
30179
Paper id
928925719099282536
v2026.09.13