A robust detail preserving anisotropic diffusion for speckle reduction in ultrasound images

BMC Genomics

Research Article

Jun Liu¹  Xiaoming Liu¹  Xin Xu¹  Jinshan Tang²  Lei Chun³  Youping Deng⁴ 

[1] College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China;School of Technology, Michigan Technological University, 1400 Townsend Drive, 49931-1295, Houghton, Michigan, USA;Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China;Rush University Cancer Center, Rush University Medical Center, 60612, Chicago, Illinois, USA;

关键词: Ultrasound Image;    Anisotropic Diffusion;    Edge Point;    Speckle Reduction;    Edge Preservation;   

DOI  :  10.1186/1471-2164-12-S5-S14

来源: Springer

【 摘 要 】

BackgroundSpeckles in ultrasound imaging affect image quality and can make the post-processing difficult. Speckle reduction technologies have been employed for removing speckles for some time. One of the effective speckle reduction technologies is anisotropic diffusion. Anisotropic diffusion technology can remove the speckles effectively while preserving the edges of the image and thus has drawn great attention from image processing scientists. However, the proposed methods in the past have different disadvantages, such as being sensitive to the number of iterations or low capability of preserving the details of the ultrasound images. Thus a detail preserved anisotropic diffusion speckle reduction with less sensitive to the number of iterations is needed. This paper aims to develop this kind of technologies.ResultsIn this paper, we propose a robust detail preserving anisotropic diffusion filter (RDPAD) for speckle reduction. In order to get robust diffusion, the proposed method integrates Tukey error norm function into the detail preserving anisotropic diffusion filter (DPAD) developed recently. The proposed method could prohibit over-diffusion and thus is less sensitive to the number of iterationsConclusionsThe proposed anisotropic diffusion can preserve the important structure information of the original image while reducing speckles. It is also less sensitive to the number of iterations. Experimental results on real ultrasound images show the effectiveness of the proposed anisotropic diffusion filter.

【 授权许可】

Unknown   
© Lui et al. licensee BioMed Central Ltd 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.