医用超声图像散斑去噪方法综述  

The Review of Speckle Denoising in Medical Ultrasound Imaging

作　　者：沈民奋[1,2] 陈婷婷[2] 张琼[2] 李德来 

机构地区：[1]广东省汕头职业技术学院,汕头515078 [2]广东省汕头大学工学院,汕头515063 [3]汕头市超声仪器研究所有限公司,汕头515041

出　　处：《中国医疗器械信息》2013年第3期17-22,共6页China Medical Device Information

摘　　要：散斑去噪是后期医用超声图像分割和识别等关键的预处理过程。本文在对国内外散斑去噪文献进行分析和归纳的基础上,综述了用于散斑图像去噪的主要算法,包含空域去噪算法、小波域去噪算法和各向异性扩散去噪算法,并对其性能进行分析和研究。在此基础上提出对医用超声领域散斑图像去噪的一些展望。The speckle denoising is a key preprocessing for later segmentation and identification in medical ultrasound imaging.On the basis of understanding and analysis on speckle image denoising literature,in this paper,we review the main algorithms for speckle image denoising which include different categories like the spatial domain denoising algorithms,the wavelet domain denoising algorithms and the anisotropic diffusion filter algorithm.And the performances of these algorithms are analyzed.Finally,some prospects of speckle denoising in medical ultrasound imaging are put forward.

关 键 词：散斑去噪 空域去噪 小波去噪 各向异性扩散去噪 

分 类 号：R445.1[医药卫生—影像医学与核医学]