A New Speckle Reducing Anisotropic Diffusion for Ultrasonic Speckle

详细信息    查看全文

• 作者：Can-Fei LI^a ; ^{olivia.c@163.com}Author Vitae ; Yao-Nan WANG^a ; ^{yaonan@hnu.cn}Author Vitae ; Chang-Yan XIAO^a ; ^{zyyzhou@mail.ustc.edu.cn}Author Vitae ; Xiao LU^a ; ^{xlu_hnu@163.com}Author Vitae
• 关键词：Anisotropic diffusion (AD) ; speckle reduction ; ultrasonic image ; local statistics
• 刊名：Acta Automatica Sinica
• 出版年：2012
• 出版时间：March, 2012
• 年：2012
• 卷：38
• 期：3
• 页码：412-418
• 全文大小：1K

文摘

In the area of speckle noise suppression for ultrasound image, a new speckle reducing anisotropic diffuse (NSRAD) is proposed by introducing a sigmoid function to the diffusion coefficient in the traditional speckle reducing anisotropic diffuse (SRAD). The basic route of NSRAD is to combine the image characteristics of different regions using segmented diffusion coefficient, in which the diffusion coefficient approaches to a constant number one in the homogeneous regions, and declines rapidly in the transition regions, then approaches to zero in the strong boundary regions. Benifited by the sigmoid function in the new diffusion function, the NSRAD has better noise-suppressing ability, as well as the abilities of retaining details and weak edges, even sharping the strong boundary, compared to the traditional SRAD. Moreover, the control ratio of the homogeneous regions and the speed control coefficient are adjustable, which well meet different application requirements by solving the problem of different homogeneous regions scales in the ultrasound image. The performances of the proposed model are verified in experiments with synthetic and clinical images. Especially, a quantitative comparison between NSRAD and SRAD is made upon simulation data, where we demonstrate that NSRAD suppresses speckle more efficiently in homogenous regions hereby has less distortion, while in inhomogeneous regions it enhances details and sharpens the edges more effectively than SRAD.