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.