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An optimization algorithm of electrical impedance tomography based on fuzzy clustering

A technology of tomography and fuzzy clustering, which is applied in 2D image generation, calculation, image data processing, etc., can solve problems such as target and background blurring, poor spatial resolution, and large artifacts in reconstructed images, reaching the limit Clear, smooth object edges, reduced artifacts

Inactive Publication Date: 2018-12-25
TIANJIN UNIV
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Problems solved by technology

The traditional linear back-projection algorithm (LBP) is to back-project the voltage data according to the relationship between the boundary voltage value and the projected area of ​​the measured field. degree value, the reconstructed image has larger artifacts, the boundary between the target and the background is blurred, and the spatial resolution is poor.

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  • An optimization algorithm of electrical impedance tomography based on fuzzy clustering
  • An optimization algorithm of electrical impedance tomography based on fuzzy clustering
  • An optimization algorithm of electrical impedance tomography based on fuzzy clustering

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Embodiment Construction

[0017] The purpose of the present invention is to overcome the deficiency of low spatial resolution of existing image reconstruction algorithms, and proposes an optimization algorithm for electrical impedance tomography based on fuzzy clustering. The object of fuzzy clustering is a set of data, and the data is divided by extracting the feature vector of the data, so that the difference within the class is small and the difference between classes is large. The electrical impedance tomography optimization algorithm based on fuzzy clustering extracts useful information from the boundary voltage value collected by the sensor, forms a feature vector, and then performs cluster analysis. Due to the unique background of ERT imaging, the 812 pixels can be divided into two categories, one of which represents the target and the other represents the background.

[0018] For each pixel point, there is only one projection area covering the pixel point during each excitation, and each pixel ...

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Abstract

The invention relates to an electric impedance tomography optimization algorithm based on fuzzy clustering, which comprises the following steps: (1) obtaining an image matrix of the electric impedancetomography; (2) extracting a feature representing each pixel information from the image matrix, wherein the feature 1: a mean vector, that is, the mean value of each boundary voltage value corresponding to each pixel point; Feature 2: variance matrix, on the basis of the mean matrix, calculating the variance of each pixel, each pixel 2-dimensional eigenvector to form the eigenmatrix; (3) fuzzy clustering being carried out by using the feature matrix as the input data set of the fuzzy clustering algorithm, and the membership degree value of each pixel point being obtained, and the membership degree value of each pixel point to each class being characterized; according to the degree of membership matrix, the classification being judged.

Description

technical field [0001] The invention belongs to the field of electrical tomography image reconstruction algorithms, in particular to an electrical impedance tomography optimization algorithm based on fuzzy clustering. Background technique [0002] Electrical tomography (ET) technology is a technology for reconstructing the distribution of electrical characteristics inside the measured sensitive field. and other fields have broad application prospects. In electrical resistance tomography (ERT), the array electrode is used to apply current excitation to the measured object field, measure the boundary voltage data, and then reconstruct the conductivity distribution in the measured field. Taking the 16-electrode resistance tomography sensor as an example, the method of adjacent current excitation and adjacent voltage measurement is adopted. Under each excitation, excluding the excitation electrodes, there are 13 measured values ​​in total. For example: take electrodes 1 and 2...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T11/00
CPCG06T11/003G06F18/23
Inventor 李奇岳士弘高晓峰
Owner TIANJIN UNIV
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