Accelerating compressed sensing in parallel imaging reconstructions using an efficient circulant preconditioner for cartesian trajectories-Reference-Cited by-同舟云学术

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Accelerating compressed sensing in parallel imaging reconstructions using an efficient circulant preconditioner for cartesian trajectories

Published:2018-08-07 Issue:1 Volume:81 Page:670-685
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med

Author:

Koolstra Kirsten¹^ORCID,van Gemert Jeroen²,Börnert Peter¹³,Webb Andrew¹,Remis Rob²

Affiliation:

1. C. J. Gorter Center for High Field MRI, Department of Radiology; Leiden University Medical Center; Leiden The Netherlands

2. Circuits & Systems Group, Electrical Engineering, Mathematics and Computer Science Faculty; Delft University of Technology; Delft The Netherlands

3. Philips Research Hamburg; Hamburg Germany

Funder

Jeroen van Gemert receives funding from STW

Kirsten Koolstra receives funding from ERC Advanced

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.27371/fullpdf

Reference53 articles.

1. SMASH, SENSE, PILS, GRAPPA: how to choose the optimal method;Blaimer;Top Magn Reson Imaging.,2004

2. Parallel MR imaging;Deshmane;JMagn Reson Imaging.,2012

3. SENSE: sensitivity encoding for fast MRI;Pruessmann;Magn Reson Med.,1999

4. Generalized autocalibrating partially parallel acquisitions (GRAPPA);Griswold;Magn Reson Med.,2002

5. Stable recovery of sparse overcomplete representations in the presence of noise;Donoho;IEEE Trans Inf Theory.,2006

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