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Ultrasound image denoising method and system

An ultrasonic image and algorithm technology, applied in the field of image processing, can solve the problems of fuzzy features, increasing the difficulty of image understanding, and not being able to preserve image feature information well, so as to achieve the effects of noise removal, strong ease of use and practicability

Inactive Publication Date: 2015-04-29
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0002] Ultrasound images are usually accompanied by speckle noise, which seriously damages the quality of ultrasound images and increases the difficulty of image understanding
[0003] The existing technology uses a detection operator based on image brightness information to extract the feature information of the ultrasound image, but the detection operator is sensitive to changes in image contrast and cannot accurately detect low-contrast features. Perform smoothing operations, resulting in blurred features
However, the traditional weighted least squares algorithm cannot preserve the feature information of the image well when removing the speckle noise of the ultrasound image.

Method used

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Embodiment 1

[0018] figure 1 It shows the implementation process of the ultrasonic image denoising method provided by Embodiment 1 of the present invention, and the process of the method is described in detail as follows:

[0019] In step S101, feature information of an ultrasound image is extracted by using a multi-scale feature asymmetry measure.

[0020] Among them, the multi-scale feature asymmetric measure ε represents a constant greater than 0 and less than 1. In practical applications, ε is a very small constant (less than the preset value, such as 0.000001), which is used to ensure that the divisor will not be zero; Indicates that negative numbers are converted to zero; T n denotes the scale-dependent noise threshold, even and odd represent the scalar-valued even response and vector-valued odd response of the quadrature filter, respectively, and mean represents the mean.

[0021] It should be noted that the local energy model assumes that the Fourier components of the ultras...

Embodiment 2

[0061] figure 2 The composition structure of the ultrasonic image denoising system provided by the second embodiment of the present invention is shown, and for the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0062] The ultrasonic image denoising system includes:

[0063] A feature information extraction unit 21, configured to extract feature information of the ultrasound image using multi-scale feature asymmetry metrics;

[0064] The denoising unit 22 is configured to denoise the ultrasonic image after the feature information is extracted using a phase-based weighted least square algorithm.

[0065] Further, the feature information extraction unit 21 extracts feature information of the ultrasound image using the following formula:

[0066]

[0067] Among them, MSFA represents the asymmetric measure of multi-scale features, and ε represents a constant greater than 0 and less than 1. In practical applications, ...

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Abstract

The invention is applied to the technical field of image processing, and provides an ultrasound image denoising method and system. The method comprises steps as follows: feature information of an ultrasound image is extracted through multi-scale feature asymmetry metric; the ultrasound image finishing feature information extraction is denoised based on a phase weighted least-squares algorithm. With adoption of the method and the system, the feature information of the image can be reserved while ultrasound image noise is removed.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an ultrasonic image denoising method and system. Background technique [0002] Ultrasound images are usually accompanied by speckle noise, which seriously damages the quality of ultrasound images and increases the difficulty of image understanding. [0003] The existing technology uses a detection operator based on image brightness information to extract the feature information of the ultrasound image, but the detection operator is sensitive to changes in image contrast and cannot accurately detect low-contrast features. Performs a smoothing operation, resulting in blurred features. However, the traditional weighted least square algorithm cannot preserve the characteristic information of the image well when removing the speckle noise of the ultrasound image. Contents of the invention [0004] In view of this, an embodiment of the present invention provides a method a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 王伟明朱磊秦璟王平安
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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