Table of Contents Author Guidelines Submit a Manuscript
Table of Contents Alerts

To receive news and publication updates for BioMed Research International, enter your email address in the box below.

BioMed Research International
Volume 2016 (2016), Article ID 2860643, 7 pages
http://dx.doi.org/10.1155/2016/2860643
Research Article

Two-Layer Tight Frame Sparsifying Model for Compressed Sensing Magnetic Resonance Imaging

Shanshan Wang,1,2 Jianbo Liu,1,2 Xi Peng,1,2 Pei Dong,3 Qiegen Liu,4 and Dong Liang1,2

1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, Guangdong 518055, China
2The Beijing Center for Mathematics and Information Interdisciplinary Sciences, Beijing 100048, China
3Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, The University of Sydney, Sydney, NSW 2006, Australia
4Nanchang University, Nanchang, Jiangxi, China

Received 20 April 2016; Revised 5 August 2016; Accepted 18 August 2016

Academic Editor: Andrey Krylov

Copyright © 2016 Shanshan Wang 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

Shanshan Wang, Jianbo Liu, Xi Peng, Pei Dong, Qiegen Liu, and Dong Liang, “Two-Layer Tight Frame Sparsifying Model for Compressed Sensing Magnetic Resonance Imaging,” BioMed Research International, vol. 2016, Article ID 2860643, 7 pages, 2016. doi:10.1155/2016/2860643