Improved compressed sensing MRI with multi-channel data using reweighted l1 minimization Conference Paper uri icon

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 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.

name of conference

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010)

published proceedings

  • 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

author list (cited authors)

  • Ching-Hua Chang, .., & Jim Ji.

citation count

  • 9

publication date

  • August 2010

publisher