CT image reconstruction method and system based on convolutional neural network

A convolutional neural network and CT image technology, applied in the medical field, can solve problems such as limiting the application potential of neural networks and not being able to effectively mine useful information of projection data, so as to improve the quality of reconstructed images, improve feature extraction and information expression capabilities, easy-to-achieve effects
CN112669401AActive Publication Date: 2021-04-16ZHONGBEI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHONGBEI UNIV
Publication Date
2021-04-16

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Abstract

The invention discloses a CT image reconstruction method and system based on a convolutional neural network, and the method comprises the steps: inputting projection data, carrying out the filtering processing and back projection processing of the projection data through a front-end convolutional neural network, generating tomographic image information, and processing the generated tomographic image information through a back-end convolutional neural network. And calculating the value of the whole network loss function by using the processed tomographic image and the real image, reversely feeding back the gradient information of the loss function layer by layer, and updating the parameter value of each network layer. According to the invention, the projection data is processed by using the multi-layer convolutional neural network, useful information in the projection data is fully mined, and the feature extraction and information expression capabilities of the overall neural network model are effectively improved; a full connection layer is prevented from being used in the neural network model, and the required neural network model parameters are few and easy to implement.
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Description

technical field

[0001] The present invention relates to the field of medical technology, in particular to a convolutional neural network-based CT image reconstruction method and system. Background technique

[0002] Due to the great advantages of X-ray computed tomography (CT) technology in disease screening and diagnosis, this technology has become an indispensable imaging method in the clinical practice of modern hospitals, usually including whole-body diagnostic CT and C-arm CT interventional imaging. , Dental CT, etc. There are two main factors affecting the wide application of CT technology in practice: reconstructed image quality and image reconstruction speed. In recent years, with the development of deep learning technology, the quality of CT reconstruction images has been significantly improved; with the development of GPU hardware acceleration technology, the time required for CT image reconstruction has been significantly shortened.

[0003] Initially, deep lear...

Claims

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