Noise reduction processing method of ultrasound medical image

A technology for medical image and noise reduction processing, which is applied in the field of medical image processing and can solve the problems of medical ultrasound image quality degradation and false structures.

CN103177421AActive Publication Date: 2013-06-26深圳蓝影医学科技股份有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2013-06-26

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Abstract

The invention discloses a noise reduction processing method of an ultrasound medical image. The noise reduction processing method of the ultrasound medical image is characterized by comprising the following steps of calculating an edge intensity image E of a gray-scale ultrasound image I; calculating a mask image P in a smooth organization structure area of the gray-scale ultrasound image I; calculating an edge intensity threshold curve Kcurve of the gray-scale ultrasound image I along a depth direction of an ultrasonic probe scanning line; extracting a corresponding edge intensity threshold from the edge intensity threshold curve Kcurve and utilizing a diffusion coefficient function g to obtain a diffusion coefficient for any ith row image Ei of the edge intensity image E; and utilizing a diffusion equation (formula as follows, wherein all portions of the formula respectively stand for an image the gray-scale ultrasound image I evolving to time t to be formed into, an evolution time step length, a divergence operator and a gradient of the gray-scale ultrasound image I) to perform filtering processing on the image according to the generated diffusion coefficient. The noise reduction processing method of the ultrasound medical image has the advantages of enabling the ultrasound medical image to be capable of utilizing different edge intensity thresholds along the depth direction of probe scanning and achieving the effect of speckle noise suppression optimization.
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Description

technical field

[0001] The invention relates to the technical field of medical image processing, in particular to a noise reduction processing method for gray-scale ultrasonic images by automatically detecting a diffusion threshold. Background technique

[0002] There is usually a large amount of speckle noise in medical gray-scale ultrasound images (B mode), which will significantly reduce the quality of ultrasound images and cover up some important tissue lesions. It brings great difficulties, and there is a risk of missed diagnosis and misdiagnosis.

[0003] The filtering method is usually used to suppress the high-frequency part of the signal, and the useful edge information will be removed while filtering out the noise. Over-smoothing; As a result, some filtering algorithms based on edge preservation have been developed rapidly, such as anisotropic diffusion, BM3D and nonlocal means and other medical image denoising techniques. This provides a huge space for improving...

Examples

Embodiment Construction

[0072] According to the imaging characteristics of ultrasonic gray-scale images, the present invention uses anisotropic filtering as a framework to propose a dynamic diffusion threshold based on scanning depth to realize a noise reduction method for gray-scale ultrasonic images.

[0073] Such as figure 1 As shown, in a preferred embodiment of the present invention, the noise reduction processing method for gray-scale ultrasound images includes steps:

[0074] Step S101, acquire a gray-scale ultrasound image I of an ultrasound medical image from an image acquisition device or an image storage. If the obtained ultrasonic medical image is not a gray-scale image, it needs to be gray-scaled and processed into a gray-scale ultrasonic image first.

[0075] Step S102, calculating the edge intensity image E of the gray scale ultrasound image I. The edge intensity E of any point coordinate (i, j) on the gray-scale ultrasound image I i，j Represents the possibility that this point is l...