• DocumentCode
    8127
  • Title

    The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration

  • Author

    Freiberger, Michael ; Knoll, Florian ; Bredies, K. ; Scharfetter, H. ; Stollberger, R.

  • Volume
    15
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan.-Feb. 2013
  • Firstpage
    34
  • Lastpage
    44
  • Abstract
    A cheap way to speed up image-reconstruction software is to use modern graphics hardware that can execute algorithms in a massively parallel manner. Here, the authors discuss Agile, an open source library designed for image reconstruction in biomedical sciences. Its modular, object-oriented, and templated design eases the integration of the library into user code.
  • Keywords
    image reconstruction; medical image processing; parallel processing; public domain software; software libraries; GPU acceleration; agile library; biomedical image reconstruction software; biomedical sciences; massively parallel manner; modular object-oriented templated design; open source library; Biomedical image processing; Graphics processing unit; Image reconstruction; Libraries; Magnetic resonance imaging; GPUs; MRI; biomedical science; finite-element methods; medical resonance imaging; parallel algorithms; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2012.40
  • Filename
    6178195