Dynamic Magnetic Resonance Imaging Reconstruction Based on Nonconvex Low-Rank Model

Lixia Chen, Bin Yang and Xuewen Wang

Mathematical Problems in Engineering, 2017, vol. 2017, 1-11

Abstract:

The quality of dynamic magnetic resonance imaging reconstruction has heavy impact on clinical diagnosis. In this paper, we propose a new reconstructive algorithm based on the model. In the algorithm, the norm is substituted by the norm to approximate the norm; thus the accuracy of the solution is improved. We apply an alternate iteration method to solve the resulting problem of the proposed method. Experiments on nine data sets show that the proposed algorithm can effectively reconstruct dynamic magnetic resonance images.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9576950

DOI: 10.1155/2017/9576950

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