Adaptive fractional-order differentiation filter guided by feature asymmetry for feature-preserving ultrasound despeckling

Kunqiang Mei; Dongdong Hao; Binjie Qin

doi:10.1117/12.2540127

14 August 2019 Adaptive fractional-order differentiation filter guided by feature asymmetry for feature-preserving ultrasound despeckling

Kunqiang Mei, Dongdong Hao, Binjie Qin

Author Affiliations +

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111793H (2019) https://doi.org/10.1117/12.2540127
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

In ultrasound despeckling, it is essential to remove speckle noise with satisfactory feature preservation for better diagnosis and analysis in many applications. This paper proposes an adaptive fractional-order differentiation filter guided by feature asymmetry for feature-preserving ultrasound despeckling. Since fractional anisotropic diffusion (FAD) filter performs well in smooth regions while fractional total variation (FTV) filter works better near features, our framework combines the FAD filter and FTV filter to maintain their advantages. Moreover, the feature significance calculated by using feature asymmetry is integrated into the diffusion coefficient of the FAD filter to protect low contrast features. Finally, rather than adopting one fixed fractional order, the proposed filter adaptively assigns fractional order on the basis of the feature significance to further preserve features. Experiments on synthetic and clinic ultrasound images demonstrate that the proposed filter performs better in both speckle reduction and feature preservation compared with other state-of-the-art ultrasound speckle reduction filters.

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Kunqiang Mei, Dongdong Hao, and Binjie Qin "Adaptive fractional-order differentiation filter guided by feature asymmetry for feature-preserving ultrasound despeckling", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111793H (14 August 2019); https://doi.org/10.1117/12.2540127

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KEYWORDS

Speckle

Ultrasonography

Digital filtering

Image filtering

Diffusion

Anisotropic filtering

Image processing

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