CUDA-based real time surgery simulation

Youquan Liu, Suvranu De
Department of Mechanical Aerospace and Nuclear Engineering, Rensselaer, Polytechnic Institute, Troy, NY
Studies in health technology and informatics, Vol. 132 (2008), pp. 260-262.


   title={CUDA-based Real Time Surgery Simulation},

   author={Youquan, LIU and Suvranu, D.E.},

   journal={Medicine meets virtual reality 16: parallel, combinatorial, convergent: NextMed by design},




   publisher={Ios Pr Inc}


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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.
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