Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method

An ultrasound speckle reduction method is proposed in this paper. The filter, which enhances the power of anisotropic diffusion with the Smallest Univalue Segment Assimilating Nucleus (SUSAN) edge detector, is referred to as the SUSAN-controlled anisotropic diffusion (SUSAN_AD). The SUSAN edge detec...

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Bibliographic Details
Published in:Pattern recognition 2010-09, Vol.43 (9), p.3083-3092
Main Authors: Yu, Jinhua, Tan, Jinglu, Wang, Yuanyuan
Format: Article
Language:English
Subjects:
Anisotropic diffusion
Applied sciences
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Image processing
Information, signal and communications theory
Miscellaneous
Nakagami distribution
Pattern recognition
Signal and communications theory
Signal processing
Signal, noise
Speckle reduction
Structure tensor
SUSAN
Telecommunications and information theory
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Summary:An ultrasound speckle reduction method is proposed in this paper. The filter, which enhances the power of anisotropic diffusion with the Smallest Univalue Segment Assimilating Nucleus (SUSAN) edge detector, is referred to as the SUSAN-controlled anisotropic diffusion (SUSAN_AD). The SUSAN edge detector finds image features by using local information from a pseudo-global perspective. Thanks to the noise insensitivity and structure preservation properties of SUSAN, a better control can be provided to the subsequent diffusion process. To enhance the adaptability of the SUSAN_AD, the parameters of the SUSAN edge detector are calculated based on the statistics of a fully formed speckle (FFS) region. Different FFS estimation schemes are proposed for envelope-detected speckle images and log-compressed ultrasonic images. Adaptive diffusion threshold estimation and automatic diffusion termination criterion are employed to enhance the robustness of the method. Both synthetic and real ultrasound images are used to evaluate the proposed method. The performance of the SUSAN_AD is compared with four other existing speckle reduction methods. It is shown that the proposed method is superior to other methods in both noise reduction and detail preservation.
ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2010.04.006