Accelerating advanced MRI reconstructions on GPUs
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}
}
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
November 5, 2010 by hgpu
