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Towards a Framework for Assessing Deformable Models in Medical Simulation

  • Maud Marchal
  • Jérémie Allard
  • Christian Duriez
  • Stéphane Cotin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5104)

Abstract

Computational techniques for the analysis of mechanical problems have recently moved from traditional engineering disciplines to biomedical simulations. Thus, the number of complex models describing the mechanical behavior of medical environments have increased these last years. While the development of advanced computational tools has led to interesting modeling algorithms, the relevances of these models are often criticized due to incomplete model verification and validation. The objective of this paper is to propose a framework and a methodology for assessing deformable models. This proposal aims at providing tools for testing the behavior of new modeling algorithms proposed in the context of medical simulation. Initial validation results comparing different modeling methods are reported as a first step towards a more complete validation framework and methodology.

Keywords

Finite Element Method Model Deformable Model Medical Simulation Soft Tissue Deformation Soft Tissue Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Maud Marchal
    • 1
  • Jérémie Allard
    • 1
  • Christian Duriez
    • 1
  • Stéphane Cotin
    • 1
  1. 1.INRIA Project-team AlcoveIRCICAVILLENEUVE D’ASCQFrance

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