Speckle reduction of ultrasound images based on Rayleigh-trimmed anisotropic diffusion filter

Authors:
Yinhui Deng;Yuanyuan Wang;Yuzhong Shen
Affiliations:
Department of Electronic Engineering, Fudan University, #220 Handan Rd., Shanghai 200433, China;Department of Electronic Engineering, Fudan University, #220 Handan Rd., Shanghai 200433, China;Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA
Venue:
Pattern Recognition Letters
Year:
2011

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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.