CUDA-based real time surgery simulation.
In this paper we present a general software platform that enables real time surgery simulation on the newly available compute unified device architecture (CUDA)from NVIDIA. CUDA-enabled GPUs harness the power of 128 processors which allow data parallel computations. Compared to the previous GPGPU, it is significantly more flexible with a C language interface. We report implementation of both collision detection and consequent deformation computation algorithms. Our test results indicate that the CUDA enables a twenty times speedup for collision detection and about fifteen times speedup for deformation computation on an Intel Core 2 Quad 2.66 GHz machine with GeForce 8800 GTX.
Liu
Youquan
Y
Department of Mechanical Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
De
Suvranu
S
D000465:Algorithms; D003198:Computer Simulation; D013502:General Surgery / Q000193:education*; D006801:Humans; D012984:Software; D013314:Stress, Mechanical; D013514:Surgical Procedures, Operative / Q000379:methods*; D014481:United States; D014584:User-Computer Interface