Efficient nonlinear FEM for soft tissue modelling and its GPU implementation within the open source framework SOFA

Olivier Comas (1) , Zeike A Taylor , Jérémie Allard (1) , Sébastien Ourselin (2) , Stéphane Cotin (1, 3) , Josh Passenger

1 SHACRA - Simulation in Healthcare using Computer Research Advances
2 CMIC - Centre for Medical Image Computing
3 LIFL - Laboratoire d'Informatique Fondamentale de Lille

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.

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]

Olivier Comas, Zeike A Taylor, Jérémie Allard, Sébastien Ourselin, Stéphane Cotin, et al.. Efficient nonlinear FEM for soft tissue modelling and its GPU implementation within the open source framework SOFA. ISBMS 2008 - 4th International Symposium on Biomedical Simulation, Jul 2008, London, United Kingdom. pp.28-39, ⟨10.1007/978-3-540-70521-5_4⟩. ⟨hal-00841568⟩