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MR图像去噪算法研究进展
引用本文:王昊,康晓东,刘玲玲,耿佳佳,郭军. MR图像去噪算法研究进展[J]. 磁共振成像, 2012, 3(3): 231-236
作者姓名:王昊  康晓东  刘玲玲  耿佳佳  郭军
作者单位:1. 河北大学附属医院介入科,保定071000;天津医科大学医学影像学院,天津300070
2. 天津医科大学医学影像学院,天津,300070
摘    要:MRI对医学诊断有重要价值,而去噪是MR图像分析与诊断的基础问题之一.因此,探讨能消除MR图像噪声的方法具有重要的临床意义和应用价值.作者从空间域、变换域及多尺度分析等方面对MR图像去噪算法进行综述,分析和比较其性能,并对医学图像去噪领域的前景和趋势进行展望.

关 键 词:磁共振成像  噪声

Progress of magnetic resonance image on denoising
WANG Hao , KANG Xiao-dong , LIU Ling-ling , GENG Jia-jia , GUO Jun. Progress of magnetic resonance image on denoising[J]. Chinese Journal of Magnetic Resonance Imaging, 2012, 3(3): 231-236
Authors:WANG Hao    KANG Xiao-dong    LIU Ling-ling    GENG Jia-jia    GUO Jun
Affiliation:1Department of Interventional Radiology,Affiliated Hospital of Hebei University,Baoding 071000,China 2School of Medical Imaging,Tianjin Medical University,Tianjin 300070,China
Abstract:Magnetic resonance imaging(MRI) is of great importance in medical diagnosis,and denoise is one of the basic problems in MR image processing and analysis.Therefore,development of methods for eliminating image noise in MRI has important clinical significance and application value.In this paper,denoise in the space domain,transform domain and by multi-scale analysis and other aspects of MRI image denoising algorithms are reviewed,analyzed and their performances are compared.Finally,prospects and future trends for the field of medical image denoising are analyzed.
Keywords:Magnetic resonance imaging  Noise
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