A novel de-noising method for B ultrasound images

Da-Yong Tian; Jia-qing Mo; Yin-Feng Yu; Xiao-Yi Lv; Xiao Yu; Zhen-Hong Jia

doi:10.1117/12.2210774

14 December 2015 A novel de-noising method for B ultrasound images

Da-Yong Tian, Jia-qing Mo, Yin-Feng Yu, Xiao-Yi Lv, Xiao Yu, Zhen-Hong Jia

Proceedings Volume 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing; 98140C (2015) https://doi.org/10.1117/12.2210774
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

B ultrasound as a kind of ultrasonic imaging, which has become the indispensable diagnosis method in clinical medicine. However, the presence of speckle noise in ultrasound image greatly reduces the image quality and interferes with the accuracy of the diagnosis. Therefore, how to construct a method which can eliminate the speckle noise effectively, and at the same time keep the image details effectively is the research target of the current ultrasonic image de-noising. This paper is intended to remove the inherent speckle noise of B ultrasound image. The novel algorithm proposed is based on both wavelet transformation of B ultrasound images and data fusion of B ultrasound images, with a smaller mean squared error (MSE) and greater signal to noise ratio (SNR) compared with other algorithms. The results of this study can effectively remove speckle noise from B ultrasound images, and can well preserved the details and edge information which will produce better visual effects.

Citation Download Citation

Da-Yong Tian, Jia-qing Mo, Yin-Feng Yu, Xiao-Yi Lv, Xiao Yu, and Zhen-Hong Jia "A novel de-noising method for B ultrasound images", Proc. SPIE 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing, 98140C (14 December 2015); https://doi.org/10.1117/12.2210774

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