Title
Speckle reduction of ultrasound images based on Rayleigh-trimmed anisotropic diffusion filter
Abstract
A novel method is proposed to reduce speckle in ultrasound images. Based on the assumption of Rayleigh distribution of speckle, a Rayleigh-trimmed filter is first proposed to estimate the relative standard deviations of local signals and the results are used to determine the parameter that controls an alpha-trimmed mean filter for suppressing the primary noise. Then the anisotropic diffusion is subsequently applied to further reduce noise while enhancing features and structures in the original image. We also extend the proposed method to three-dimensional space by introducing time as one additional dimension. The proposed method effectively utilizes the statistical characteristics of speckle and the two-step despeckling algorithm reduces speckle significantly while retaining important features. The effectiveness of the proposed method is well demonstrated by experiments on both simulated and real ultrasound images.
Year
DOI
Venue
2011
10.1016/j.patrec.2011.06.007
Pattern Recognition Letters
Keywords
Field
DocType
rayleigh-trimmed anisotropic,real ultrasound image,anisotropic diffusion,speckle reduction,rayleigh-trimmed filter,primary noise,rayleigh distribution,novel method,alpha-trimmed mean filter,ultrasound image,additional dimension,three dimensional,relative standard deviation
Anisotropic diffusion,Rayleigh scattering,Computer vision,Median filter,Speckle pattern,Artificial intelligence,Speckle noise,Standard deviation,Mathematics,Ultrasound,Rayleigh distribution
Journal
Volume
Issue
ISSN
32
13
Pattern Recognition Letters
Citations 
PageRank 
References 
6
0.46
10
Authors
3
Name
Order
Citations
PageRank
Yinhui Deng1203.91
Yuanyuan Wang249882.58
Yuzhong Shen318421.96