An empirical study of the maximum degree of undersampling in compressed sensing for T2*-weighted MRI-Reference-Cited by-同舟云学术

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An empirical study of the maximum degree of undersampling in compressed sensing for T2*-weighted MRI

Published:2018-11 Issue: Volume:53 Page:112-122
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Lazarus Carole^ORCID,Weiss Pierre,Vignaud Alexandre,Ciuciu Philippe^ORCID

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference42 articles.

1. Sparse MRI: the application of compressed sensing for rapid MR imaging;Lustig;Magn Reson Med,2007

2. Compressed sensing MRI;Lustig;IEEE Signal Process Mag,2008

3. Compressed sensing supplement;Healthineers;MAGNETOM Flash,2016

4. Compressed sensing in dynamic MRI;Gamper;Magn Reson Med,2008

5. k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI;Jung;Magn Reson Med,2009

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2. Optimized and accelerated 19 F‐MRI of inhaled perfluoropropane to assess regional pulmonary ventilation;Magnetic Resonance in Medicine;2019-05-17

3. A Reweighted Symmetric Smoothed Function Approximating L0-Norm Regularized Sparse Reconstruction Method;Symmetry;2018-11-02

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