Abstract
The present work is devoted to the development of an algorithm for automatic analysis of images as the results of biological object internal structures conductivity field distribution reconstruction for the automated generation of not only qualitative but also quantitative estimates of inhomogeneities in the tasks of multi-angle multi-frequency electrical impedance tomography. The paper describes the modeling of biological object internal structures inhomogeneities of a given size as a way of obtaining initial data for approbation of the algorithm and its further debugging and optimization. In the work an interactive analysis of the images obtained as a result of modeling is carried out, the results of its work are compared with the results of the developed algorithm of automatic analysis. Based on the analysis, conclusions are drawn about the applicability of the developed algorithm in the problems of multi-angle multi-frequency electrical impedance tomography.
Highlights
Electrical impedance tomography (EIT) is a non - invasive effective method to reconstruct and visualize the conductivity distribution in biological objects from the results of electrical measurements on its surface [1-13]
The results of The results type dimensions of the interactive obtained by inhomogeneity analysis developed algorithm d, mm l, mm d, mm l, mm d, mm l, mm Conducted analysis of the data presented in table 1 shows that the spread of the values of the inhomogeneity parameters measured in an interactive way is greater in all cases than the spread of the values obtained as a result of physical measurements, and in most cases exceeds the spread of the values obtained with the developed algorithm, what can be explained by the impossibility of registering with the human eye individual shades of the pixel colors in the conditions of fuzzy boundaries of the object on the reconstructed image
Hardware and software modeling of inhomogeneities internal structures of objects using the layout of hardware and software electrical impedance tomography was conducted
Summary
Electrical impedance tomography (EIT) is a non - invasive effective method to reconstruct and visualize the conductivity distribution in biological objects from the results of electrical measurements on its surface [1-13]. Electrical impedance tomography (EIT) is a non - invasive effective method to reconstruct and visualize the conductivity distribution in biological objects from the results of electrical measurements on its surface [1-. To convert measurement information from the surface of IO in the conductivity distribution in the internal structures of the object is in process of reconstruction, which can be divided into static (absolute), and dynamic (differential). Absolute (static) reconstruction is image reconstruction, which uses one dataset for one point in time and returns absolute value of the conductivity in the object. Differential (dynamic) reconstruction is reconstruction, which uses two sets of data at two points in time and returns change of conductivity in the object between the start and end time. The purpose of this paper is to develop algorithms for analyzing the results of the reconstruction of conductivity of the internal structures in the task MAIT and debug to re-the results of hardware-software modelling of inhomogeneity of the internal structures of a biological object of a given size
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