%0 Journal Article
%T TV Sparsifying MR Image Reconstruction in Compressive Sensing
%A Yonggui Zhu
%A Xiaolan Yang
%J Journal of Signal and Information Processing
%P 44-51
%@ 2159-4481
%D 2011
%I Scientific Research Publishing
%R 10.4236/jsip.2011.21007
%X 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.
%K Compressed Sensing
%K Magnetic Resonance Image
%K Total Variation
%K Image Reconstruction
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=3916