An efficient and scalable deformable model for virtual reality-based medical applications

Kup Sze Choi, Hanqiu Sun, Pheng Ann Heng

Research output: Journal article publicationReview articleAcademic researchpeer-review

26 Citations (Scopus)

Abstract

Modeling of tissue deformation is of great importance to virtual reality (VR)-based medical simulations. Considerable effort has been dedicated to the development of interactively deformable virtual tissues. In this paper, an efficient and scalable deformable model is presented for virtual-reality-based medical applications. It considers deformation as a localized force transmittal process which is governed by algorithms based on breadth-first search (BFS). The computational speed is scalable to facilitate real-time interaction by adjusting the penetration depth. Simulated annealing (SA) algorithms are developed to optimize the model parameters by using the reference data generated with the linear static finite element method (FEM). The mechanical behavior and timing performance of the model have been evaluated. The model has been applied to simulate the typical behavior of living tissues and anisotropic materials. Integration with a haptic device has also been achieved on a generic personal computer (PC) platform. The proposed technique provides a feasible solution for VR-based medical simulations and has the potential for multi-user collaborative work in virtual environment.
Original languageEnglish
Pages (from-to)51-69
Number of pages19
JournalArtificial Intelligence in Medicine
Volume32
Issue number1
DOIs
Publication statusPublished - 1 Sep 2004
Externally publishedYes

Keywords

  • Deformable simulation
  • Haptic rendering
  • Heuristic optimization
  • Medical simulations
  • Simulated annealing
  • Virtual reality

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Artificial Intelligence

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