Adaptive denoising method for ultrasonic image

Abstract

The invention discloses an adaptive denoising method for an ultrasonic image. The adaptive denoising method comprises the following steps: (1) obtaining the ultrasonic image; (2) performing Gaussian-Laplacian pyramid decomposition on the ultrasonic image and obtaining Gaussian layers and Laplacian layers at different scales; (3) calculating a structure tensor and a diffusion tensor of the Gaussian layer at each scale and performing anisotropic diffusion filtering treatment on the Gaussian layer at the scale; (4) according to a characteristic value of the structure tensor of the Gaussian layer, designing a grey mapping curve, and performing grey mapping on the Gaussian layer at the scale according to the grey mapping curve; (5) repeating the steps (3) and (4) for multiple times and performing the same treatment on the Gaussian layer and the Laplacian layer at each scale; (6) performing reverse reconstruction on the treated Gaussian layer and Laplacian layer and obtaining a denoised ultrasonic image; (7) outputting the denoised ultrasonic image. The adaptive denoising method can inhibit edge enhancement and spots of the image and is simple in algorithm and strong in adaptability.

Description

technical field [0001] The invention relates to the technical field of data processing in ultrasonic imaging, in particular to an adaptive denoising method for ultrasonic images. Background technique [0002] In medical ultrasound imaging, due to the inhomogeneity of the imaging organ or tissue structure, the interference phenomenon of the acoustic signal and the artifacts caused by the tissue movement, when some small tissue structures are smaller than the wavelength of the emitted ultrasound, the ultrasonic image forms characteristic multiplicative speckle, which degrades image quality. [0003] At present, there are mainly three kinds of denoising algorithms commonly used in ultrasonic images, namely, resolution enhancement method, superposition averaging method and post-processing method. [0004] The resolution enhancement method mainly enhances the resolution of the ultrasound system from the front end of the whole system, so as to achieve the purpose of noise reducti...

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Problems solved by technology

However, this method simply divides the pixels into edge areas and non-edge areas according to the mathematical statistical characteristics of pixels in a certain neighborhood. Therefore, this division method will cause the loss of image information, and the amount of calculation is large, which is difficult for practical application.

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