Fast reconstruction for sparse MR images in compressed sensing

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Abstract

In this paper, we apply TV sparsifying MR image reconstruction method proposed in [ Y. G. Zhu and X. L. Yang, Journal of Signal and Information Processing, 2 (2011), pp. 44-51] to compressed sensing MRI model with wavelet sparsity. The fast method to reconstruct MR images with wavelet sparsity in compressed sensing is presented. This approach can exactly reconstruct the MR image from the partial Fourier data. The convergence of the fast method is analyzed. Some MR images are employed to test in the numerical experiments, and the results demonstrate that this method is very efficient in the reconstruction of MR images. © 2013 IEEE.

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Zhu, Y., & Liu, X. (2013). Fast reconstruction for sparse MR images in compressed sensing. In Proceedings - 2013 7th International Conference on Image and Graphics, ICIG 2013 (pp. 9–13). https://doi.org/10.1109/ICIG.2013.8

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