Özet:

The concept of electrical impedance tomography is considered. Modern software solutions implementing the methods and algorithms of electrical impedance tomography are studied. It is concluded that existing solutions for applied research and development in the field of electrical impedance tomography either do not implement differential reconstruction methods, or do not provide multi-user access. This imposes a number of limitations when conducting research and creates barriers to obtaining new results in the field of electrical impedance tomography. Given the current state of development of scientific and engineering aspects of electrical impedance tomography, as well as arising problems and limitations, it is proposed to develop a specialized web portal that would systematize and accumulate the results already achieved in the field of electrical impedance tomography and offer researchers new opportunities for designing algorithmic and technical tools. A key feature of the proposed web portal is the ability of users to remotely solve the main task of electrical impedance tomography (reconstruction and visualization of the conduction field) based on the downloaded measurement information by differential reconstruction.The structure of the developed web portal is presented, including the following services: differential reconstruction service, media content storage service, knowledge base. In addition to using existing algorithms, the web portal has the ability to create and test the algorithm added by the user. The proposed testing algorithm will allow changing the parameters of the image reconstruction method in such a way as to provide the most flexible approach to solving a specific problem. A feature of the testing algorithm is the implementation of algorithms for comparing the accuracy of reconstruction of the conduction field. Comparison can be made both on the data provided by the portal, and on the data downloaded by the user. The results of experiments on the time of solving the problem with various models used for image reconstruction based on the obtained potential values during measurements are presented Author Biographies Grayr Aleksanyan, Platov South-Russian State Polytechnic University (NPI) Prosveshcheniya str., 132, Novocherkassk, Russian Federation, 346428 PhD, Associate professorDepartment of Information and Measurement Systems and Technology

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