Literature DB >> 21097199

Improved compressed sensing MRI with multi-channel data using reweighted l(1) minimization.

Ching-Hua Chang1, Jim Ji.   

Abstract

Compressed sensing (CS) is an emerging technology to speed up magnetic resonance imaging (MRI). Since most clinical MRI scanners are equipped with multi-channel receiver systems, there has been a number of works to integrate CS with multi-channel systems. In this paper, we propose a method that extends the reweighted l(1) minimization to the CS MRI with multi-channel data. The simulated experimental results show that the new method can provide improved reconstruction quality.

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Year:  2010        PMID: 21097199     DOI: 10.1109/IEMBS.2010.5627890

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  5 in total

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2.  Improving multi-channel compressed sensing MRI with reweighted l 1 minimization.

Authors:  Ching-Hua Chang; Jim X Ji
Journal:  Quant Imaging Med Surg       Date:  2014-02

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5.  Interpolated compressed sensing for 2D multiple slice fast MR imaging.

Authors:  Yong Pang; Xiaoliang Zhang
Journal:  PLoS One       Date:  2013-02-08       Impact factor: 3.240

  5 in total

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