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The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration
Jan.-Feb. 2013 (vol. 15 no. 1)
pp. 34-44
ASCII Text
x 
 
Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger, "The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration," Computing in Science and Engineering, vol. 15, no. 1, pp. 34-44, Jan.-Feb., 2013.
 
 
BibTex
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@article{ 10.1109/MCSE.2012.40,
author = {Manuel Freiberger and Florian Knoll and Kristian Bredies and Hermann Scharfetter and Rudolf Stollberger},
title = {The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration},
journal ={Computing in Science and Engineering},
volume = {15},
number = {1},
issn = {1521-9615},
year = {2013},
pages = {34-44},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2012.40},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computing in Science and Engineering
TI - The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration
IS - 1
SN - 1521-9615
SP34
EP44
EPD - 34-44
A1 - Manuel Freiberger,
A1 - Florian Knoll,
A1 - Kristian Bredies,
A1 - Hermann Scharfetter,
A1 - Rudolf Stollberger,
PY - 2013
KW - Graphics processing unit
KW - Image reconstruction
KW - Vectors
KW - Libraries
KW - Biomedical imaging
KW - Magnetic resonance imaging
KW - scientific computing
KW - medical resonance imaging
KW - MRI
KW - biomedical science
KW - parallel algorithms
KW - GPUs
KW - finite-element methods
VL - 15
JA - Computing in Science and Engineering
ER -
 
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.
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:
Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger, "The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration," Computing in Science and Engineering, vol. 15, no. 1, pp. 34-44, Jan.-Feb. 2013, doi:10.1109/MCSE.2012.40
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