A finite element model design method for human lung electrical resistance tomography

Abstract

The present invention discloses a human lung electric resistance tomography finite element model design method. According to a human thorax CT scanning image, the whole finite element model is divided into a region 1 consisting of the lung, the heart and the vertebra and a region 2 consisting of adipose tissues; the advanced particle swarm algorithm is employed to determine the boundary curve equations of the region 1 and the region 2; on this basis, improving the direct problem calculation precision and improving the sensitivity matrix morbid degree are optimization targets, the ratios of the number of layers of the finite element model included by the region 1 and the region 2 and the finite element nodes of each layer in the region 1 and the region 2 with the polar radiuses of the finite element nodes corresponding to the same polar angles of each boundary are taken as variables, and the advanced particle swarm algorithm is employed to optimize the finite element model so as to obtain a finite element model which is suitable for human lung electric resistance tomography. The human lung electric resistance tomography finite element model design method not only improves the direct problem calculation precision and improves the sensitivity matrix and Hessian matrix morbid degree, but also improves the sensitivity distribution uniformity so as to effectively improve the image reconstruction precision.

Description

technical field [0001] The invention relates to a design method for a finite element model of human lung electrical resistance tomography, belonging to the technical field of electrical resistance tomography. Background technique [0002] Biomedical electrical impedance tomography (Electrical Impedance Tomography, EIT) technology is a new type of non-invasive biomedical detection and imaging technology with the distribution or change of electrical impedance in the living body as the imaging target. Electric current, the surface voltage signal of the organism is measured to reconstruct the impedance distribution of the organism. If the imaginary part impedance information is ignored, the electrical impedance tomography technique is simplified to the electrical resistance tomography technique. [0003] For humans, lung disease is a common and frequently-occurring disease. Currently, common lung diseases include pneumonia, bronchitis, tuberculosis, bronchiectasis, or lung tumor...

AI Technical Summary

Problems solved by technology

Although COMSOLMultiphysics has the advantages of powerful functions and strong versatility, when it is applied to human lung electrical resistance tomography, it has the disadvantage of poor pertinence, and the calculation accuracy of positive problems is low

In order to improve the calculation accuracy of the forward problem, the method of mesh reconstruction is generally used, but this method has a large amount of calculation and cannot meet the real-time requirements in practical applications.

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