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This article is part of the supplement: The 2010 International Conference on Bioinformatics and Computational Biology (BIOCOMP 2010): Genomics

Open Access Research article

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

Xiaoming Liu1, Jun Liu1, Xin Xu1, Lei Chun2*, Jinshan Tang13* and Youping Deng4

Author Affiliations

1 College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China

2 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

3 School of Technology, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan 49931-1295, USA

4 Rush University Cancer Center, Rush University Medical Center, Chicago, Illinois 60612, USA

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BMC Genomics 2011, 12(Suppl 5):S14  doi:10.1186/1471-2164-12-S5-S14

Published: 23 December 2011

Abstract

Background

Speckles 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.

Results

In 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 iterations

Conclusions

The 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.