MR image reconstruction via guided filter

	MR image reconstruction via guided filter
	Huang, H.; H. Yang and K. Wang
	2017
摘要	Magnetic resonance imaging (MRI) reconstruction from the smallest possible set of Fourier samples has been a difficult problem in medical imaging field. In our paper, we present a new approach based on a guided filter for efficient MRI recovery algorithm. The guided filter is an edge-preserving smoothing operator and has better behaviors near edges than the bilateral filter. Our reconstruction method is consist of two steps. First, we propose two cost functions which could be computed efficiently and thus obtain two different images. Second, the guided filter is used with these two obtained images for efficient edge-preserving filtering, and one image is used as the guidance image, the other one is used as a filtered image in the guided filter. In our reconstruction algorithm, we can obtain more details by introducing guided filter. We compare our reconstruction algorithm with some competitive MRI reconstruction techniques in terms of PSNR and visual quality. Simulation results are given to show the performance of our new method. 2017 International Federation for Medical and Biological Engineering
收录类别	sci ; ei
语种	英语
WOS记录号	WOS:000427851600008
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/58949
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Huang, H.,H. Yang and K. Wang. MR image reconstruction via guided filter[J],2017.
APA	Huang, H.,&H. Yang and K. Wang.(2017).MR image reconstruction via guided filter..
MLA	Huang, H.,et al."MR image reconstruction via guided filter".(2017).

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