Title: Research on system parameter optimisation in electromagnetic tomography technology

Authors: Liu Li; Yue Luo; Yao Huang; Lijuan Wu

Addresses: College of Physical Science and Technology, Shenyang Normal University, Shenyang, Liaoning, China ' College of Physical Science and Technology, Shenyang Normal University, Shenyang, Liaoning, China ' College of Physical Science and Technology, Shenyang Normal University, Shenyang, Liaoning, China ' College of Physical Science and Technology, Shenyang Normal University, Shenyang, Liaoning, China

Abstract: Electromagnetic Tomography Technology (EMT) based on the principle of electromagnetic induction is a multi-phase flow detection technology. It is reconstructed without contact and intervention. The development process of EMT is presented in this paper. The basic physical model is constructed. The internal sensitive field equation is given. The detection values are analysed by the numerical calculation method. It is mainly to establish the sensitivity model and the detection value matrix. By using the control variable method, the effects of the excitation current frequency and current strength on the detection values and phases are compared and analysed. Under the same parameter setting conditions, different imaging algorithms are used to reconstruct the images for models. In the inverse problem, Tikhonov regularisation, LBP methods and conjugate gradient algorithm are introduced. The optimal parameters are determined by using parameters of Image Error (IE) and Correlation Coefficient (CC) to evaluate the reconstructed image.

Keywords: electromagnetic tomography technology; image reconstruction; conjugate gradient algorithm; inverse problem.

DOI: 10.1504/IJWMC.2025.142897

International Journal of Wireless and Mobile Computing, 2025 Vol.28 No.1, pp.1 - 13

Received: 12 Jun 2022
Received in revised form: 27 Nov 2022
Accepted: 12 Dec 2022
Published online: 02 Dec 2024 *

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