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 JSIP  Vol.2 No.1 , February 2011
TV Sparsifying MR Image Reconstruction in Compressive Sensing
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.
Cite this paper: nullZhu, Y. and Yang, X. (2011) TV Sparsifying MR Image Reconstruction in Compressive Sensing. Journal of Signal and Information Processing, 2, 44-51. doi: 10.4236/jsip.2011.21007.
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