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Accelerating advanced MRI reconstructions on GPUs

Samuel S. Stone, Justin P. Haldar, Stephanie C. Tsao, Wen-Mei W. Hwu, Zhi-Pei Liang, Bradley P. Sutton
Center for Reliable and High-Performance Computing, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
Proceedings of the 5th International Conference on Computing Frontiers, May 5-7, 2008

@article{stone2008accelerating,

   title={Accelerating advanced MRI reconstructions on GPUs},

   author={Stone, S.S. and Haldar, J.P. and Tsao, S.C. and Hwu, W. and Sutton, B.P. and Liang, Z.P.},

   journal={Journal of Parallel and Distributed Computing},

   volume={68},

   number={10},

   pages={1307–1318},

   issn={0743-7315},

   year={2008},

   publisher={Elsevier}

}

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Computational acceleration on graphics processing units (GPUs) can make advanced magnetic resonance imaging (MRI) reconstruction algorithms attractive in clinical settings, thereby improving the quality of MR images across a broad spectrum of applications. This paper describes the acceleration of such an algorithm on NVIDIA
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