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Ultrasonoscopy speckle noise filtering method based on Bayesian model

A Bayesian model and ultrasonic image technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as speckle noise filtering that is not applicable to ultrasonic images

Active Publication Date: 2014-11-19
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

However, the non-local diffusion equation is only suitable for the smooth denoising of the Gaussian white noise model, but it is not suitable for the speckle noise filtering of ultrasonic images that obey the Gamma statistical distribution.

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  • Ultrasonoscopy speckle noise filtering method based on Bayesian model
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[0055] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0056] ginseng figure 1 As shown, the present invention discloses a method for filtering ultrasonic image speckle noise based on a Bayesian model, which specifically includes:

[0057] S1, establishing a non-local filtering model based on the Bayesian model;

[0058] S2, using Gamma distribution to fit speckle noise in the ultrasonic ...

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Abstract

The invention discloses an ultrasonoscopy speckle noise filtering method based on a Bayesian model. The method specifically comprises the steps that firstly, a non-local filtering model based on the Bayesian model is established; secondly, speckle noise in the ultrasonoscopy on which logarithmic compression is carried out is fitted through Gamma distribution, and then a weighting function based on the Pearson statistics distance is obtained; thirdly, the variable in the non-local filtering model is solved; fourthly, the speckle noise in the ultrasonoscopy is filtered through the solved non-local filtering model. The speckle noise in the ultrasonoscopy can be effectively filtered out, and the imaging definition of the ultrasonoscopy is improved.

Description

technical field [0001] The invention relates to the technical field of ultrasonic image filtering, in particular to a method for filtering ultrasonic image speckle noise based on a Bayesian model. Background technique [0002] During the acquisition of ultrasound signals, due to the existence of speckle noise, the quality of reconstructed ultrasound images is significantly worse than that of CT, MRI and other imaging modalities. In order to improve the image quality of ultrasound, it is usually necessary to filter and denoise the speckle noise. However, due to the dependence of speckle noise on human tissue, it is very difficult to model and filter speckle noise. Although there have been a large number of research reports on the speckle noise filtering problem of ultrasound images, the classic filtering methods will lose details such as edges in the image while suppressing the noise. In recent years, the anisotropic diffusion filter model based on partial differential equa...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 温铁祥李凌辜嘉
Owner SHENZHEN INST OF ADVANCED TECH
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