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Dual-energy dual-90-degree CT scanning image reconstruction method and device based on generative adversarial network

A technology for CT scanning and image reconstruction. It is used in the generation of 2D images, biological neural network models, and image data processing. It can solve problems such as neglect, and achieve the effect of improving image quality, reducing hardware costs, and achieving good performance effects.

Active Publication Date: 2020-11-27
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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Problems solved by technology

[0004] Aiming at the problem that the existing CT image reconstruction methods study the limited-angle scanning under single-energy and ignore the double-limited-angle scanning under dual-energy, the present invention proposes a dual-energy dual-90° CT scan reconstruction image based on a generative confrontation network method and device

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  • Dual-energy dual-90-degree CT scanning image reconstruction method and device based on generative adversarial network
  • Dual-energy dual-90-degree CT scanning image reconstruction method and device based on generative adversarial network
  • Dual-energy dual-90-degree CT scanning image reconstruction method and device based on generative adversarial network

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[0028] The present invention will be further explained below in conjunction with accompanying drawing and specific embodiment:

[0029] Such as figure 1 As shown, a method for reconstructing images from dual-energy dual-90°CT scans based on generative confrontation networks, including:

[0030] Step S101: designing a generative adversarial network model for describing the coupling relationship between the missing projection data and the distribution probability of the 180° projection data;

[0031] Specifically, the generative confrontation network model is designed as follows:

[0032] The X-ray source produces polychromatic X-rays with continuous energy distribution, and the intensity of polychromatic X-rays passing through the object is as follows:

[0033]

[0034] where I l Represents the intensity of remaining photons after continuous X-rays pass through thick objects, I 0 Represents the initial intensity of X-rays with energy, l represents the thickness through t...

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Abstract

The invention discloses a dual-energy dual-90-degree CT scanning image reconstruction method based on a generative adversarial network. The method comprises the following steps: firstly, designing a generative adversarial network model to describe a coupling relationship between missing projection data and 180-degree projection data distribution probability; the method comprises the following steps: constructing a training set and training to obtain a trained generative adversarial network model, complementing dual-energy 90-degree projection data into dual-energy 180-degree projection data byusing the model, and finally reconstructing the dual-energy 180-degree projection data by using a SART-TV algorithm to obtain a reconstructed low-energy image and a reconstructed high-energy image. The invention further discloses a dual-energy dual-90-degree CT scanning image reconstruction device based on the generative adversarial network. According to the method, the generative adversarial network is adopted, the dual-energy dual-90-degree projection data input by the network is made to generate the dual-energy dual-180-degree projection data, a good performance effect is achieved on the aspects of reducing hardware cost and improving image quality, and the accuracy of object-based material decomposition is improved.

Description

technical field [0001] The invention belongs to the technical field of image reconstruction, and in particular relates to a method and device for reconstructing an image based on a dual-energy dual-90° CT scan based on a generative confrontation network. Background technique [0002] Computed Tomography (CT) is an applied technology that covers many disciplines such as mathematics and computer. This technology uses the X-ray projection data of the object at different angles, and obtains the attenuation characteristic distribution of the object through the image reconstruction algorithm, so as to reconstruct the image of the three-dimensional internal structure of the perspective object. At present, CT has been widely used in industrial testing, medical diagnosis and other fields. In addition, compared with traditional single-energy CT imaging, dual-energy CT (Dual-energy Computed Tomography, DECT) uses X-ray transmission objects at two different energies to provide two sets...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06N3/04
CPCG06T11/005G06N3/045
Inventor 李磊王毅忠张文昆蔡爱龙唐超冯智伟梁宁宁闫镔孙艳敏
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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