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Efficient Nonlinear FEM for Soft Tissue Modelling and Its GPU Implementation within the Open Source Framework SOFA

  • Olivier Comas
  • Zeike A. Taylor
  • Jérémie Allard
  • Sébastien Ourselin
  • Stéphane Cotin
  • Josh Passenger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5104)

Abstract

Accurate biomechanical modelling of soft tissue is a key aspect for achieving realistic surgical simulations. However, because medical simulation is a multi-disciplinary area, researchers do not always have sufficient resources to develop an efficient and physically rigorous model for organ deformation. We address this issue by implementing a CUDA-based nonlinear finite element model into the SOFA open source framework. The proposed model is an anisotropic visco-hyperelastic constitutive formulation implemented on a graphical processor unit (GPU). After presenting results on the model’s performance we illustrate the benefits of its integration within the SOFA framework on a simulation of cataract surgery.

Keywords

Graphic Processing Unit Cataract Surgery Global Memory Access Pattern Memory Bandwidth 
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

  • Olivier Comas
    • 1
    • 3
  • Zeike A. Taylor
    • 2
  • Jérémie Allard
    • 3
  • Sébastien Ourselin
    • 2
  • Stéphane Cotin
    • 3
  • Josh Passenger
    • 1
  1. 1.BioMedIA LabThe Australian e-Health Research CentreBrisbaneAustralia
  2. 2.University College LondonLondonUnited Kingdom
  3. 3.INRIA AlcoveLilleFrance

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