• DocumentCode
    2809279
  • Title

    Accelerating MR image reconstruction on GPUs

  • Author

    Hwu, Wen-Mei W. ; Nandakumar, Deepthi ; Haldar, Justin ; Atkinson, Ian C. ; Sutton, Brad ; Liang, Zhi-Pei ; Thulborn, Keith R.

  • Author_Institution
    Univ. of Illinois, Urbana-Champaign, Urbana, IL, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    1283
  • Lastpage
    1286
  • 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.
  • Keywords
    biomedical MRI; computer graphics; coprocessors; image reconstruction; medical image processing; MR image reconstruction acceleration; NVIDIA CUDA enabled GPU; advanced image reconstruction algorithms; computationally intensive imaging algorithms; graphics processing units; nonCartesian data; Acceleration; Biomedical imaging; Clocks; Convolution; Explosives; Graphics; Image reconstruction; Kernel; Magnetic resonance imaging; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193297
  • Filename
    5193297