Abstract #1579
Distributed Computing on Gadgetron: A new paradigm for MRI reconstruction
Hui Xue 1 , Peter Kellman 1 , Souheil Inati 2 , Thomas Sorensen 3 , and Michael Schacht Hansen 1
1
Magnetic Resonance Technology Program,
National Heart, Lung and Blood Institute, National
Institutes of Health, Bethesda, Maryland, United States,
2
National
Mental Health Institute, National Institutes of Health,
Bethesda, Maryland, United States,
3
Department
of Computer Science, Department of Clinical Medicine,
Aarhus University, Aarhus, Denmark
Although non-linear reconstruction has shown potential
for shortening acquisition times, its clinical usage is
often hampered by the lengthy reconstruction time. To
speedup non-linear reconstruction and enable its
clinical usage, we have extended previously published
Gadgetron framework to support cloud computing. With
this extension (named GT-Plus), any number of Gadgetron
processes can run cooperatively across multiple
computers. GT-Plus framework was deployed on Amazon EC2
cloud and NIHs Biowulf system. We demonstrate that with
the GT-Plus cloud, a multi-slice free-breathing
myocardial cine imaging with the whole ventricular
coverage can be completed within 1min, including data
acquisition and reconstruction.
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