Medical ultrasound image denoising algorithm based on Nosubsampled contourlet transform

摘要

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 forward a 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.