Medical Ultrasound Image Denoising Algorithm Based on Nosubsampled Contourlet Transform

Min Fen Shen; Fei Huang; Zhi Fei Su; Li Sha Sun

doi:10.4028/www.scientific.net/AMM.644-650.3999

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Medical Ultrasound Image Denoising Algorithm Based...

Medical Ultrasound Image Denoising Algorithm Based on Nosubsampled Contourlet Transform

Abstract:

Currently,the ultrasound image has been widely used in diagnosis and treatment of clinical medicine,the results obtained by the diagnostic accuracy and reliability of the image is directly related to the effects of diagnosis and treatment.Because ultrasound images in the imaging process inevitably contaminated noise,thus the research of inhibiting ultrasound image noise is one of the important issues in domestic and international ultrasound imaging techniques.This paper studies the multi-scale analysis and wavelet thresholding two theories,put forwarda denoising algorithm about combining the Nonsubsampling contourlet transform and a new threshold function,experiments show that the new algorithm can not only good at suppressing the noise of ultrasound images,and can better retain image edge and texture details.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

3999-4004

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.3999

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Online since:

September 2014

Authors:

Min Fen Shen, Fei Huang, Zhi Fei Su*, Li Sha Sun

Keywords:

Image De-Noising, Non-Subsampled Contourlet Transform, Ultrasound Image, Wavelet Thresholding

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