A Mixed Variation Bioelectrical Impedance Imaging Method

Abstract

The invention provides a hybrid variation bioelectrical impedance imaging method, relating to the measurement on the conductivity of the pleural cavity of the body. According to the method, the potential spatial distribution condition is simulated by adopting a finite element method, a numerical model of the bioelectrical impedance imaging technology is established, a numerical model with large size is dispersed into small units, certain boundary conditions are applied and boundary voltage is calculated, a two-dimensional thoracic cavity numerical model and a three-dimensional thoracic cavity numerical model are respectively established, after the objective function of the hybrid variation algorithm is determined, the inverse problem solving is carried out by adopting the steepest descent method, the electrical impedance image reconstruction of the thoracic cavity is carried out, so that the resolution ratio of the reconstructed image is improved, therefore, the problems in the existing bioelectrical impedance imaging technology, the influences of noises and errors exist during the process of reestablishing the image with high resolution ratio, consequently, the excessive smooth and staircase effect are caused, and the accurate electrical impedance reconstructed image of the lung can not be obtained are solved.

Description

technical field [0001] The technical solution of the invention relates to measuring the electrical conductivity of the chest cavity of a human body, in particular to a mixed variation bioelectrical impedance imaging method. Background technique [0002] Electrical Impedance Tomography (EIT) is a new generation of medical imaging functional technology that emerged in the past 30 years after morphology and structure imaging. According to the different electrical impedance characteristics of different tissues in the human body under different physiological and pathological conditions, a small safe excitation current or voltage is applied to the human body through the body surface electrodes, and the corresponding voltage or current signal is measured on the human body surface to reconstruct the inside of the human body The electrical impedance distribution image. Physiological function changes or pathological changes of human tissue will cause changes in the electrical impedan...

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Problems solved by technology

[0006] The invention relates to a mixed variation bioelectrical impedance imaging method, which involves measuring the electrical conductivity of the chest cavity of a human body. The method adopts the finite element method to simulate the spatial distribution of potentials, establishes a numerical model of bioelectrical impedance imaging technology, and converts large-scale numerical values The model is discretized into smaller units, certain boundary conditions are applied and the boundary voltage is calculated, the two-dimensional chest cavity numerical model and the three-dimensional chest cavity numerical model are respectively established, the objective function of the mixed variation algorithm is determined, and the inverse problem is solved by the steepest descent method and the chest cavity Electrical impedance image reconstruction, to illustrate the improvement of the resolution of the reconstructed image, overcomes the influence of noise and errors in the process of reconstructing images with higher resolution in the existing bioelectrical impedance imaging technology, resulting in excessive smoothing and staircase effects, Drawbacks of not being able to obtain accurate electrical impedance reconstruction images of the lungs

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