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Electrical impedance imaging method and system based on generative adversarial network

An electrical impedance imaging and network technology, applied in biological neural network models, neural learning methods, medical science, etc., can solve the problem of low imaging accuracy, achieve high-precision imaging, improve imaging accuracy, and have a wide range of applications.

Inactive Publication Date: 2019-04-26
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

But this imaging method, based on the U-net network to improve the image, its imaging accuracy is still low

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  • Electrical impedance imaging method and system based on generative adversarial network
  • Electrical impedance imaging method and system based on generative adversarial network
  • Electrical impedance imaging method and system based on generative adversarial network

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Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0038] Such as figure 1 As shown, it is a flow chart of Embodiment 1 of an electrical impedance imaging method based on a generative confrontation network disclosed in this application, and the method may include the following steps:

[0039] S101. Apply an excitation signal at the boundary of the object field, and measure the voltage value of the electrical response signal at the boundary;

[0040] S102. Perform preliminary imaging based on the voltage value to obtain a preliminar...

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Abstract

The invention discloses an electrical impedance imaging method and system based on a generative adversarial network. The method comprises the following steps: applying an excitation signal on the boundary of an object field, and measuring an electrical response signal voltage value on the boundary; on the basis of the voltage value, carrying out preliminary imaging to obtain a preliminary imagingpicture; inputting the preliminary imaging picture into a pre-trained generative adversarial network to obtain a final imaging picture. The electrical impedance imaging method provided by the invention has a wide applicable range, and can be combined with any preliminary imaging algorithm. On the basis of preliminary imaging, the generative adversarial network is used for further reconstructing animage, and imaging accuracy is improved. Compared with the prior art, the electrical impedance imaging method is characterized in that imaging can be quickly carried out with high accuracy.

Description

technical field [0001] The present application relates to the technical field of electrical imaging, in particular to an electrical impedance imaging method and system based on a generative confrontation network. Background technique [0002] Electrical impedance imaging is a kind of electrical tomography technology. By regularly applying excitation signals at the boundary of the object field, the electrical response signal can be measured at the boundary, and the algorithm can reconstruct the impedance distribution information in the field, so as to realize the 2D\3D visualization measurement. [0003] Electrical impedance imaging emerged in the 1980s and is a new direction of medical imaging technology. After the emergence of this technology, it has been widely used in industry, Medicine, geological exploration and other fields have received extensive attention, and have great potential to be widely used in imaging and complex process monitoring. [0004] Due to the "sof...

Claims

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Application Information

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IPC IPC(8): A61B5/053G06N3/04G06N3/08
CPCA61B5/0536G06N3/08G06N3/044G06N3/045
Inventor 刘东俞政杰荣星杜江峰
Owner UNIV OF SCI & TECH OF CHINA
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