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J. Yang, Y. Zhang and W. Yin, “A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data,” IEEE Journal of Selected Topics in Signal Processing, Vol. 4, 2010, pp.288-297.

has been cited by the following article:

• TITLE: TV Sparsifying MR Image Reconstruction in Compressive Sensing

  AUTHORS: Yonggui Zhu, Xiaolan Yang

  KEYWORDS: Compressed Sensing, Magnetic Resonance Image, Total Variation, Image Reconstruction

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.1, February 24, 2011

  ABSTRACT: In this paper, we apply alternating minimization method to sparse image reconstruction in compressed sensing. This approach can exactly reconstruct the MR image from under-sampled k-space data, i.e., the partial Fourier data. The convergence analysis of the fast method is also given. Some MR images are employed to test in the numerical experi-ments, and the results demonstrate that our method is very efficient in MRI reconstruction.