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Distributed MRI reconstruction using Gadgetron-based cloud computing.

Hui Xue1, Souheil Inati, Thomas Sangild Sørensen

  • 1Magnetic Resonance Technology Program, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Magnetic Resonance in Medicine
|April 2, 2014
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Summary
This summary is machine-generated.

The open-source Gadgetron framework now supports distributed computing, enabling faster, nonlinear MRI reconstruction. This innovation allows for clinically viable, low-latency image processing on various platforms.

Keywords:
Gadgetrondistributed computingnonlinear MRI reconstructionopen-source software

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Area of Science:

  • Medical Imaging
  • Computational Science

Background:

  • The Gadgetron is an open-source framework for MRI reconstruction.
  • Accelerating MRI reconstruction is crucial for clinical applications.

Purpose of the Study:

  • To enhance the Gadgetron framework for distributed computing.
  • To demonstrate clinically acceptable latency for nonlinear reconstruction using a multinode Gadgetron.

Main Methods:

  • Extended the Gadgetron with components for collaborative reconstruction across multiple instances.
  • Deployed a cloud-enabled Gadgetron on diverse platforms, including Amazon EC2.
  • Utilized the Gadgetron cloud for nonlinear, compressed sensing reconstruction in cardiac and neuroimaging.

Main Results:

  • Successfully reconstructed nine cardiac cine acquisitions in under 1 minute.
  • Achieved reconstruction of a 3D brain acquisition (1 mm³ isotropic) in under 5 minutes.
  • Demonstrated low latency for nonlinear, compressed sensing reconstruction.

Conclusions:

  • Distributed computing enhances Gadgetron's scalability and reconstruction performance.
  • Nonlinear, compressed sensing reconstruction is feasible for clinical use with low latency.