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Medical PET image denoising method based on DNST domain bivariate shrinkage and bilateral non-local mean filtering

A bivariate shrinkage, non-local mean technology, applied in the field of medical PET images, can solve problems such as accurate diagnosis interference, achieve the effect of convenient diagnosis and protect image edge information

Active Publication Date: 2019-04-02
ZHEJIANG UNIV OF TECH
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Problems solved by technology

For clinicians, noise has caused great interference to their accurate diagnosis, especially for doctors who are not very experienced

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  • Medical PET image denoising method based on DNST domain bivariate shrinkage and bilateral non-local mean filtering
  • Medical PET image denoising method based on DNST domain bivariate shrinkage and bilateral non-local mean filtering
  • Medical PET image denoising method based on DNST domain bivariate shrinkage and bilateral non-local mean filtering

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Embodiment Construction

[0072] The present invention will be further described below in conjunction with the accompanying drawings.

[0073] The medical PET image denoising method based on DNST domain bivariate contraction and bilateral non-local mean filtering of the present invention comprises the following steps:

[0074] Step 1) set up medical PET image model;

[0075] In order to solve the problem of PET noise, we cannot rely on people's subjective feelings to judge, and usually the noise can only be understood by the method of probability and statistics. Therefore, the most important thing is to concretize the principle of the abstract noise in the PET image and establish a mathematical model that conforms to the basic characteristics.

[0076] Statistical noise in PET images arises from possible fluctuations in the detection of small drug spots, so statistical noise can also be referred to as quantum noise. From the mathematical model, this is a Gaussian additive noise, and its mathematical ...

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Abstract

The invention discloses a medical PET image denoising method based on combination of DNST domain bivariate shrinkage and rotation invariant bilateral non-local mean filtering. The method comprises thefollowing steps of 1) establishing a medical PET image model; 2) decomposing the PET image through discrete inseparable shear waves; 3) carrying out double-variable shrinkage processing on the high-frequency shear wave coefficient; and step 4) carrying out rotation invariant bilateral non-local mean filtering processing on the low-frequency shear wave coefficient, and step 4) carrying out DNST inverse transformation on the processed coefficient. According to the method, experimental analysis is compared with the latest denoising field algorithm, and the method is effectively applied to the field of medical PET denoising; especially for PET low frequency, rotation-invariant bilateral non-local mean filtering is adopted, and double-variable contraction is carried out on the high-frequency shear wave coefficient, so that detail information of soft tissues in the medical PET image can be better protected. Through comparison of a large amount of experimental data, the medical PET image denoising method based on combination of shear wave domain bivariate shrinkage and rotation invariant bilateral non-local mean filtering is provided, and analysis and diagnosis of doctors can be better facilitated.

Description

technical field [0001] The invention relates to the field of medical image denoising, in particular to medical PET images. Design a medical PET image denoising method based on the combination of DNST domain bivariate shrinkage and rotation invariant bilateral non-local mean filter. Background technique [0002] In the history of human development, medicine has always been a subject that people attach great importance to and continue to develop. The popularization and development of medical image digitization have greatly improved the efficiency and accuracy of medical diagnosis. Positron Emission Computed Tomography (Positron Emission Computed Tomography) is a relatively advanced clinical examination imaging technology in the field of nuclear medicine. The general method is to inject a certain substance, which is generally a necessary substance in the metabolism of biological life, such as glucose, protein, nucleic acid, fatty acid, and a short-lived radionuclide (such as ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/10G06T5/20
CPCG06T5/10G06T5/20G06T2207/20024G06T2207/20048G06T2207/10104G06T2207/20192G06T5/70
Inventor 张聚周俊赵恺伦田峥
Owner ZHEJIANG UNIV OF TECH
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