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Group sparse reconstruction using intensity-based clustering

Published:2012-05-30 Issue:4 Volume:69 Page:1169-1179
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Prieto C.¹²,Usman M.²,Wild J. M.³,Kozerke S.²,Batchelor P. G.²,Schaeffter T.²

Affiliation:

1. Pontificia Universidad Católica de Chile; Escuela de Ingeniería; Santiago Chile

2. King's College London; Division of Imaging Sciences, Biomedical Engineering; London United Kingdom

3. University of Sheffield; Unit of Academic Radiology; Sheffield United Kingdom

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.24333/fullpdf

Reference31 articles.

1. K-space substitution: a novel dynamic imaging technique;Jones;Magn Reson Med,1993

2. “Keyhole” method for accelerating imaging of contrast agent uptake;Vaals;J Magn Reson Imaging,1993

3. Unaliasing by fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI;Madore;Magn Reson Med,1999

4. k-t BLAST and k-t SENSE: dynamic MRI with high frame rate exploiting spatiotemporal correlations;Tsao;Magn Reson Med,2003

5. Highly constrained backprojection for time-resolved MRI;Mistretta;Magn Reson Med,2006

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2. Super-pixel algorithm and group sparsity regularization method for compressed sensing MR image reconstruction;Optik;2017-07

3. MR image reconstruction using cosupport constraints and group sparsity regularisation;IET Image Processing;2017-03

4. Sparse Reconstruction Techniques in Magnetic Resonance Imaging;Investigative Radiology;2016-06

5. Real time dynamic MRI by exploiting spatial and temporal sparsity;Magnetic Resonance Imaging;2016-05

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