Comparison of reconstruction algorithm for compressive sensing magnetic resonance imaging
Author:
Funder
NSFC
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/article/10.1007/s11042-017-4985-2/fulltext.html
Reference43 articles.
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2. Bhotto MZA et al (2015) An Improved Fast Iterative Shrinkage Thresholding Algorithm for Image Deblurring. SIAM J Imaging Sci 8:1640–1657
3. Bi DJ et al (2017) Multifrequency Compressed Sensing for 2-D Near-Field Synthetic Aperture Radar Image Reconstruction. IEEE Trans Instrum Meas 66:777–791
4. Bigot J et al (2016) An Analysis of Block Sampling Strategies in Compressed Sensing. IEEE Trans Inf Theory 62:2125–2139
5. Bradley PS (2013) A support-based reconstruction for SENSE MRI. Sensors 13:4029–4040
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