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Using Graphics Processing Units to Parallelize the FDK Algorithm for Tomographic Image Reconstruction

Joel Sanchez Dominguez, Luiz Fernando de Oliveira, Nilton Alves Junior, Joaquim Teixeira de Assis
Politechnical Institute of Rio de Janeiro State University, Nova Friburgo-RJ 28625-570, Brazil
Journal of Chemical & Engineering Data, Volume 6, 760-768, 2012

@article{dominguez2012using,

   title={Using Graphics Processing Units to Parallelize the FDK Algorithm for Tomographic Image Reconstruction},

   author={Dom{‘i}nguez, J.S. and de Oliveira, L.F. and Junior, N.A. and de Assis, J.T.},

   journal={J. Chem},

   volume={6},

   pages={760–768},

   year={2012}

}

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The paper presents the implementation of a parallel version of FDK (Felkamp, David e Kress) algorithm using graphics processing units. Discussion was briefly some elements the computed tomographic scan and FDK algorithm; and some ideas about GPUs (Graphics Processing Units) and its use in general purpose computing were presented. The paper shows a computational implementation of FDK algorithm and the process of parallelization of this implementation. Compare the parallel version of the algorithm with the sequential version, used speedup as a performance metric. To evaluate the performance of parallel version, two GPUs, GeForce 9400GT (16 cores) a low capacity GPU and Quadro 2000 (192 cores) a medium capacity GPU was reached speedup of 3.37.
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