Improved compressed sensing MRI with multi-channel data using reweighted l1 minimization
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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 l1 minimization to the CS MRI with multi-channel data. The simulated experimental results show that the new method can provide improved reconstruction quality. 2010 IEEE.
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2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010)