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Journal of Healthcare Engineering
Volume 2017, Article ID 9856058, 9 pages
https://doi.org/10.1155/2017/9856058
Research Article

Low-Rank and Sparse Decomposition Model for Accelerating Dynamic MRI Reconstruction

1College of Physical Science and Technology, Central China Normal University, Wuhan 430079, Hubei, China
2Key Laboratory of Cognitive Science of State Ethnic Affairs Commission, South-Central University for Nationalities, Wuhan 430074, Hubei, China
3Hubei Key Laboatory of Medical Information Analysis & Tumor Diagnosis and Treatment, Wuhan 430074, Hubei, China

Correspondence should be addressed to Shouyin Liu; nc.ude.uncc.yhp@uilys

Received 10 March 2017; Accepted 17 May 2017; Published 8 August 2017

Academic Editor: Feng-Huei Lin

Copyright © 2017 Junbo Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Junbo Chen, Shouyin Liu, and Min Huang, “Low-Rank and Sparse Decomposition Model for Accelerating Dynamic MRI Reconstruction,” Journal of Healthcare Engineering, vol. 2017, Article ID 9856058, 9 pages, 2017. https://doi.org/10.1155/2017/9856058.