MR image reconstruction via guided filter

doi:10.1007/s11517-017-1709-8

CIOMP OpenIR

	MR image reconstruction via guided filter
	Huang, H. Y.; Yang, H.; Wang, K.
	2018
发表期刊	Medical & Biological Engineering & Computing
ISSN	0140-0118
卷号	56 期号:4 页码:635-648
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.
关键词	Image reconstruction Magnetic resonance imaging Compressive sensing Guided filter signal recovery Computer Science Engineering Mathematical & Computational Biology Medical Informatics
DOI	10.1007/s11517-017-1709-8
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/61066
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Huang, H. Y.,Yang, H.,Wang, K.. MR image reconstruction via guided filter[J]. Medical & Biological Engineering & Computing,2018,56(4):635-648.
APA	Huang, H. Y.,Yang, H.,&Wang, K..(2018).MR image reconstruction via guided filter.Medical & Biological Engineering & Computing,56(4),635-648.
MLA	Huang, H. Y.,et al."MR image reconstruction via guided filter".Medical & Biological Engineering & Computing 56.4(2018):635-648.

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