Deep learning method for medical image low-dose estimation

A medical image and deep learning technology, applied in the deep learning field of low dose estimation of medical images, can solve the problems of structural deformation, poor image reconstruction effect, large noise in PET images, etc., to improve the peak signal-to-noise ratio and strong generalization ability. , Enhance the effect of image detail information

Active Publication Date: 2021-06-29
NAT INST OF ADVANCED MEDICAL DEVICES SHENZHEN
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Problems solved by technology

[0005] However, when low-dose radionuclides are used in PET-MRI, PET images will not only have a lot of noise, but also structural deformation, and traditional PET low-dose denoising techniques are usually based on convolutional neural networks or traditional mathematical methods, poor image reconstruction

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  • Deep learning method for medical image low-dose estimation
  • Deep learning method for medical image low-dose estimation
  • Deep learning method for medical image low-dose estimation

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[0024] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0025] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0026] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0027] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have dif...

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Abstract

The invention discloses a deep learning method for medical image low-dose estimation. The method comprises the steps that wavelet transform is used for decomposing a low-dose original image to obtain multiple layers of decomposed images, and each layer of decomposed image comprises multiple sub-band images with different view angle characteristics corresponding to the original image; the multiple layers of decomposed images and the original image are input into a convolutional neural network for training, a mapping relation from a low-dose original image to a standard-dose image is learned through decomposition and reconstruction, the convolutional neural network comprises a trunk structure and a plurality of branch structures, the trunk structure takes the original image as input, and the plurality of branch structures respectively take the corresponding decomposed images of each layer as input. According to the method, the wavelet transform is combined with the convolutional neural network, so that the image detail information is enhanced while the image peak signal-to-noise ratio, the structural similarity and the contrast signal-to-noise ratio are improved.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, and more specifically, to a deep learning method for low-dose estimation of medical images. Background technique [0002] Medical image processing is widely used in clinical guidance. For example, positron emission tomography-magnetic resonance imaging (PET-MRI) is a hybrid imaging technique that combines soft tissue morphological imaging with magnetic resonance imaging (MRI) and functional imaging with positron emission tomography (PET). Compared with other methods, PET-MRI examination has low radiation dose, high sensitivity, and good accuracy, and has the value of early detection and early diagnosis of many diseases (especially tumors and the most common heart and brain diseases). However, most of the radioactive radiation used in PET comes from fluorine-18 (18F), which emits positrons and produces high-energy gamma rays, which have certain radiation to the human body...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G06N3/04G06N3/08
CPCG16H30/20G06N3/08G06N3/045Y02T10/40
Inventor 郑海荣李彦明万丽雯胡战利邓富权
Owner NAT INST OF ADVANCED MEDICAL DEVICES SHENZHEN
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