An electrical tomography image reconstruction method based on a convolutional neural network

A technology of electrical tomography and convolutional neural network, applied in the field of tomography, achieves good noise resistance and generalization ability, and improves accuracy

Active Publication Date: 2019-04-09
TIANJIN UNIV
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Problems solved by technology

In addition, the calculation time of this method is concentrated in the training process of the neural network. After the training is completed, its solution speed has significant advantages compared with the existing algorithms, and it has good noise resistance and generalization ability, which can be used to solve the online visualization of fast and complex processes. measurement problem

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  • An electrical tomography image reconstruction method based on a convolutional neural network
  • An electrical tomography image reconstruction method based on a convolutional neural network
  • An electrical tomography image reconstruction method based on a convolutional neural network

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Embodiment Construction

[0033] An electrical tomography image reconstruction method based on deep learning theory, taking electrical resistance tomography as an example, applies a convolutional neural network structure to solve the image reconstruction problem of one or more inclusions in the measured field. Compared with existing imaging algorithms, this method improves the accuracy and real-time performance of image reconstruction, and has good noise resistance and generalization ability.

[0034] Aiming at solving the inverse problem of electrical tomography, the present invention uses a convolutional neural network to train a large number of relevant samples, and actively learns the complex nonlinear relationship between boundary measurement values ​​and field distributions by continuously adjusting network structure parameters to perform image reconstruction .

[0035] The specific calculation steps are as follows:

[0036] 1. Use the finite element method to solve the positive problem of elect...

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Abstract

The invention relates to an electrical tomography image reconstruction method based on a convolutional neural network. The method comprises the following steps: solving a positive problem of electrical tomography by adopting a finite element method; Designing a convolutional neural network structure to enable the convolutional neural network structure to be suitable for an electrical tomography image reconstruction process; Determining a loss function; Updating the network parameters by adopting a small-batch gradient descent strategy, and synthesizing the parameters obtained by each round ofiteration by using a moving average model to determine a final parameter updating value; After the iteration is finished, obtaining a convolutional neural network of which the connection weight and the threshold are determined; When the image is reconstructed, taking the actually measured boundary measurement value as a trained convolutional neural network input layer neuron, wherein the output ofthe output layer neuron is the value of each pixel point in the image.

Description

technical field [0001] The invention belongs to the field of tomography, and relates to an electrical tomography image reconstruction method based on a convolutional neural network, which is used for complex medium distribution image reconstruction. technical background [0002] Electrical tomography (Electrical tomography, ET) is a process tomography technology based on the sensitive mechanism of dielectric electrical properties that appeared in the late 1980s. Technological advantages, as a means of visual measurement of complex processes, have received a lot of attention. Its physical basis is that different media have different electrical properties (conductivity / permittivity / complex admittance / permeability), and the distribution of media in the field can be inferred by judging the distribution of electrical properties of objects in the sensitive field . Electrical tomography mainly includes Electrical Resistance Tomography (ERT), Electrical Capacitance Tomography (ECT...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00
CPCG06T11/003G06T2211/424
Inventor 谭超吕蜀华董峰
Owner TIANJIN UNIV
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