Issue No. 01 - Jan.-Feb. (2013 vol. 15)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2012.40
Manuel Freiberger , Center for Analytical Instrumentation, Anton Paar
Florian Knoll , Graz University of Technology
Kristian Bredies , University of Graz
Hermann Scharfetter , Graz University of Technology
Rudolf Stollberger , Graz University of Technology, Graz
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.
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
K. Bredies, F. Knoll, M. Freiberger, H. Scharfetter and R. Stollberger, "The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration," in Computing in Science & Engineering, vol. 15, no. , pp. 34-44, 2013.