Efficient Nonlinear FEM for Soft Tissue Modelling and Its GPU Implementation within the Open Source Framework SOFA
Identifieur interne : 004A57 ( Istex/Corpus ); précédent : 004A56; suivant : 004A58Efficient Nonlinear FEM for Soft Tissue Modelling and Its GPU Implementation within the Open Source Framework SOFA
Auteurs : Olivier Comas ; A. Taylor ; Jérémie Allard ; Sébastien Ourselin ; Stéphane Cotin ; Josh PassengerSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
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.
Url:
DOI: 10.1007/978-3-540-70521-5_4
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<Para>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.</Para>
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</istex>
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