Accelerating MR image reconstruction on GPUs

  • Authors:
  • Wen-mei W. Hwu;Deepthi Nandakumar;Justin Haldar;Ian C. Atkinson;Brad Sutton;Zhi-Pei Liang;Keith R. Thulborn

  • Affiliations:
  • University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign;University of Illinois, Chicago Medical Center;University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign;University of Illinois, Chicago Medical Center

  • Venue:
  • ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
  • Year:
  • 2009

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Abstract

With the explosive development of advanced image reconstruction algorithms, there is an urgent need for acceleration of these algorithms to facilitate their use in practical applications. This paper describes our experience using graphics processing units (GPUs) for advanced MR image reconstruction from non-Cartesian data. We show that implementation of MR image reconstruction on NVIDIA CUDA-enabled GPUs can significantly accelerate the solution of this type of image reconstruction problem. Given the acceleration afforded by the GPU, we expect our strategy to be applied to other computationally intensive imaging algorithms.