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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 902143, 8 pages
http://dx.doi.org/10.1155/2013/902143
Research Article

Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension

1College of Computer Science, Sichuan University, No. 29 Jiuyanqiao Wangjiang Road, Chengdu 610064, Sichuan, China
2School of Computer Science, Sichuan Normal University, No. 1819 Section 2 of Chenglong Road, Chengdu 610101, Sichuan, China
3School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, Sichuan, China
4School of Information Science and Technology, East China Normal University, No. 500, Dong-Chuan Road, Shanghai 200241, China

Received 25 January 2013; Accepted 6 March 2013

Academic Editor: Shengyong Chen

Copyright © 2013 Xiuqing Zheng 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

Xiuqing Zheng, Zhiwu Liao, Shaoxiang Hu, Ming Li, and Jiliu Zhou, “Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension,” Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 902143, 8 pages, 2013. doi:10.1155/2013/902143