Ultrasonic medical image speckle noise inhibition method based on multi-scale anisotropic diffusion

Abstract

The invention relates to an ultrasonic medical image speckle noise inhibition method based on multi-scale anisotropic diffusion, belonging to the ultrasonic medical image noise inhibition method and aiming to solve the problems that the image edge and the image noise are difficult to distinguish by taking the gradient as the edge detection operator when the existing anisotropic diffusion technology is applied to the ultrasonic image. The ultrasonic medical image speckle noise inhibition method based on multi-scale anisotropic diffusion comprises the following steps: (1) carrying out wavelet decomposition on the image, and calculating standard model values; (2) if the first iteration is carried out, estimating the distribution parameters of the standard model values, and otherwise, executing the step (4); (3) classifying to obtain noise smoothing areas under all scales; (4) determining diffusion thresholds by using the mean value of the standard model values of a noise area, and substituting the diffusion thresholds for diffusion functions to obtain diffusion parameters; (5) weighting wavelet coefficients by using the diffusion parameters, and carrying out inverse wavelet transform; and (6) comparing diffusion thresholds in adjacent two-time iterations, and judging whether to stop. The image is processed under multiple scales, thus the result is more accurate. The ultrasonic medical image speckle noise inhibition method based on multi-scale anisotropic diffusion can be widely applied to various occasions needing to process the ultrasonic images.

Description

technical field [0001] The invention relates to a method for suppressing ultrasonic image speckle noise. Background technique [0002] Ultrasound imaging techniques are now widely used for imaging structures in the body such as the heart. Due to the physical factors of imaging, the superposition of coherent waves forms speckle noise, which seriously affects the image quality, especially blurs the edges and details, reduces the visibility and segmentation accuracy of the image, and limits the application of ultrasonic medical images in clinical diagnosis. further application. Denoising ultrasonic images can provide more favorable conditions for subsequent processing such as image segmentation and speckle tracking. Therefore, it is of great significance to study the effective suppression of speckle noise on the basis of maintaining image edge and detail information, which will help improve the accuracy of clinical diagnosis. [0003] Judging from the current noise suppressi...

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Problems solved by technology

[0005] In order to solve the problem that the existing anisotropic diffusion equation-based noise reduction technology using gradient detection edge method is easily affected by multiplicative noise, and it is difficult to accurately distinguish the image edge and noise from the gray level change, the proposed method based on multi-scale Speckle Noise Suppression Method for Ultrasound Medical Image Based on Anisotropic Diffusion

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