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Issue No. 01 - Jan.-Feb. (2013 vol. 15)
ISSN: 1521-9615
pp: 34-44
Kristian Bredies , University of Graz
Florian Knoll , Graz University of Technology
Manuel Freiberger , Center for Analytical Instrumentation, Anton Paar
Hermann Scharfetter , Graz University of Technology
Rudolf Stollberger , Graz University of Technology, Graz
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.
INDEX TERMS
Graphics processing unit, Image reconstruction, Vectors, Libraries, Biomedical imaging, Magnetic resonance imaging, scientific computing, medical resonance imaging, MRI, biomedical science, parallel algorithms, GPUs, finite-element methods
CITATION
Kristian Bredies, Florian Knoll, Manuel Freiberger, Hermann Scharfetter, Rudolf Stollberger, "The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration", Computing in Science & Engineering, vol. 15, no. , pp. 34-44, Jan.-Feb. 2013, doi:10.1109/MCSE.2012.40
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