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MR image reconstruction via guided filter

文献类型：期刊论文

作者Huang, H. Y.; Yang, H.; Wang, K.
刊名Medical & Biological Engineering & Computing
出版日期2018
卷号56期号:4页码:635-648
关键词Image reconstruction Magnetic resonance imaging Compressive sensing Guided filter signal recovery Computer Science Engineering Mathematical & Computational Biology Medical Informatics
ISSN号0140-0118
DOI10.1007/s11517-017-1709-8
英文摘要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.
源URL[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.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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