Low-dimensional-structure self-learning and thresholding: Regularization beyond compressed sensing for MRI Reconstruction-Reference-Cited by-同舟云学术

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Low-dimensional-structure self-learning and thresholding: Regularization beyond compressed sensing for MRI Reconstruction

Published:2011-04-04 Issue:3 Volume:66 Page:756-767
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Akçakaya Mehmet,Basha Tamer A.,Goddu Beth,Goepfert Lois A.,Kissinger Kraig V.,Tarokh Vahid,Manning Warren J.,Nezafat Reza

Funder

Harvard Clinical and Translational Science Center

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.22841/fullpdf

Reference40 articles.

1. Quantitative evaluation of several partial Fourier reconstruction algorithms used in MRI;McGibney;Magn Reson Med,1993

2. Fast spiral coronary artery imaging;Meyer;Magn Reson Med,1992

3. Undersampled projection reconstruction applied to MR angiography;Peters;Magn Reson Med,2000

4. Time-resolved contrast-enhanced imaging with isotropic resolution and broad coverage using an undersampled 3D projection trajectory;Barger;Magn Reson Med,2002

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

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