The Cg Tutorial: The Definitive Guide to Programmable Real-Time Graphics
The Cg Tutorial: The Definitive Guide to Programmable Real-Time Graphics
Non-linear anisotropic elasticity for real-time surgery simulation
Graphical Models - Special issue on SMI 2002
OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2 (5th Edition) (OpenGL)
Patient-specific biomechanical model of the brain: application to Parkinson's disease procedure
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
Modelling Prostate Gland Motion for Image-Guided Interventions
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
Modelling Anisotropic Viscoelasticity for Real-Time Soft Tissue Simulation
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Haptic rendering of deformable objects using a multiple FPGA parallel computing architecture
Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
Virtual try on: an application in need of GPU optimization
Proceedings of the ATIP/A*CRC Workshop on Accelerator Technologies for High-Performance Computing: Does Asia Lead the Way?
Fast and accurate GPU-based simulation of virtual garments
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
A Multiple-FPGA parallel computing architecture for real-time simulation of soft-object deformation
ACM Transactions on Embedded Computing Systems (TECS)
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Clinical employment of biomechanical modelling techniques in areas of medical image analysis and surgical simulation is often hindered by conflicting requirements for high fidelity in the modelling approach and high solution speeds. We report the development of techniques for high-speed nonlinear finite element (FE) analysis for surgical simulation. We employ a previously developed nonlinear total Lagrangian explicit FE formulation which offers significant computational advantages for soft tissue simulation. However, the key contribution of the work is the presentation of a fast graphics processing unit (GPU) solution scheme for the FE equations. To the best of our knowledge this represents the first GPU implementation of a nonlinear FE solver. We show that the present explicit FE scheme is well-suited to solution via highly parallel graphics hardware, and that even a midrange GPU allows significant solution speed gains (up to 16.4×) compared with equivalent CPU implementations. For the models tested the scheme allows real-time solution of models with up to 16000 tetrahedral elements. The use of GPUs for such purposes offers a cost-effective high-performance alternative to expensive multi-CPU machines, and may have important applications in medical image analysis and surgical simulation.