Thyroid nodule ultrasonic image denoising method
A technology for thyroid nodules and ultrasound images, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of thyroid disease awareness rate, low treatment rate, and thyroid disease treatment rate of less than 5%, and improve the level of diagnosis. , the effect of improving the proportion of diagnostic accuracy
Active Publication Date: 2019-12-13
WENZHOU MEDICAL UNIV
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As the second largest disease in the field of endocrine, the awareness rate and treatment rate of thyroid disease in my country are very low, and the overall treatment rate of thyroid disease is less than 5%.
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[0032] The present invention is described in further detail below in conjunction with accompanying drawing:
[0033] Such as Figure 4 As shown, a method for denoising ultrasound images of thyroid nodules, comprising the following steps:
[0034] S1. Construct a database of ultrasound images of thyroid nodules; the image database adopts a standard database (BSD database) and a database composed of a large number of clinical front-line patient data.
[0035] S2. Perform NSST decomposition on the ultrasound image of thyroid nodules, and according to the characteristics of the speckle noise distribution of the ultrasound image of the thyroid, obtain a corresponding sparse representation model for low-frequency component denoising, so as to eliminate the speckle noise of the low-frequency component and improve image contrast;
[0036] S3. Design a deep learning network training model, and combine the high-frequency components transformed by NSST with the deep learning network tra...
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The invention discloses a thyroid nodule ultrasonic image denoising method. The method comprises the following steps: constructing a database of thyroid nodule ultrasonic images; carrying out NSST decomposition on the thyroid nodule ultrasonic image, and obtaining a corresponding sparse representation model for denoising a low-frequency component according to the characteristics of speckle noise distribution of the thyroid nodule ultrasonic image, so as to eliminate speckle noise of the low-frequency component and improve the image contrast; designing a deep learning network training model, and combining the high-frequency components subjected to NSST with the deep learning network training model to more effectively separate discrete spot noise and image edges; and reconstructing the thyroid nodule ultrasonic image after speckle noise is removed through INSST. The method has the following advantages and effects: based on the combination of multi-scale geometric analysis and deep learning, a corresponding speckle noise suppression model and a corresponding speckle noise suppression framework are established, so that a good thyroid nodule ultrasonic image processing result can be obtained.
Description
technical field [0001] The invention relates to the field of ultrasonic image denoising, in particular to a method for denoising ultrasonic images of thyroid nodules. Background technique [0002] With the improvement of living standards, people's health awareness is also constantly strengthened. The number of patients seeing a doctor because of thyroid disease is also increasing. According to the Chinese Health Association, thyroid disease has become the fifth leading cause of disease in the world, and it is expected to jump to the second leading cause of disease by 2020 and become a fatal disease. In recent years, the growth rate of thyroid diseases in China has risen sharply. The Beijing Municipal Health Bureau released in 2012 that the growth rate of thyroid cancer in Beijing exceeded 200% from 2000 to 2010, ranking first in the growth rate of various cancers. According to official statistics It shows that the prevalence of thyroid nodules is as high as 18.6%, which me...
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Login to View More IPC IPC(8): G06T5/00G06T7/00
CPCG06T7/0012G06T2207/10132G06T2207/20081G06T2207/20084G06T2207/20192G06T2207/30096G06T5/70
Inventor 张鑫陈伟斌
Owner WENZHOU MEDICAL UNIV