Capacitive coupling electrical impedance tomography image reconstruction method and device

A technology of tomography and capacitive coupling, applied in image data processing, neural learning methods, 2D image generation, etc., can solve problems affecting industrial analysis or clinical diagnosis, limiting image quality, and ill-posedness

Active Publication Date: 2022-07-15
ZHEJIANG LAB
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Problems solved by technology

Due to the total number of boundary measurement parameters of capacitive coupled electrical impedance tomography ( N ×( N -1)/2) is far less than the number of electrical information distribution parameters in the target area, and the system response matrix that characterizes the relationship between these two parameters is a sparse singular matrix, so the image reconstruction problem of this te

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  • Capacitive coupling electrical impedance tomography image reconstruction method and device
  • Capacitive coupling electrical impedance tomography image reconstruction method and device
  • Capacitive coupling electrical impedance tomography image reconstruction method and device

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[0031] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as recited in the appended claims. The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that the term "and / or" as used here

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Abstract

The invention discloses an image reconstruction method and device for capacitive coupling electrical impedance tomography, and the method comprises the steps: taking an unsupervised deep convolutional network as prior information to restrain an image iteration reconstruction process of capacitive coupling electrical impedance tomography, and training a deep neural network with random initialization network parameters, according to the method, the network can learn intrinsic hidden information of the network from a noise label image, a local optimal solution of the noise image is gradually found through operations such as alternate weighted average summation in the training process, a result similar to a real image is generated, and denoising is completed. According to the network prior applied to capacitive coupling electrical impedance tomography, a mode similar to manual prior can be formed to carry out noise constraint on image reconstruction, intelligent parameter adjustment can be carried out according to the structural characteristics of the image, and a reconstructed image with higher quality is formed.

Description

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Claims

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Application Information

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Owner ZHEJIANG LAB
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