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Conf Proc IEEE Eng Med Biol Soc. 2010;2010:875-8. doi: 10.1109/IEMBS.2010.5627890.

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

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  • 1Department of Electrical and Computer Engineering, Texas A&M University, TX 77843-3128, USA.


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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