Work

Combined Optimization of Both Sensitivity Matrix and Residual Error for Improving EIT Imaging Quality

Year: 2025

Type: article

Abstract: As a visual detection technique, Electrical Impedance Tomography (EIT) can reconstruct the distribution of electrical parameters within a detection field. EIT reconstruction greatly depends on a physical equation that includes a sensitivity matrix and measurements, but the sensitivity matrix fails to be optimized for various reconstruction tasks. This issue decreases the applicable range of the physical equation and EIT reconstruction quality. To address this issue, this paper optimizes both the residual error for measurements and the sensitivity matrix in the equation, which leads to higher EIT reconstruction quality. The optimization solution is theoretically and experimentally verified. Results indicate that the proposed methods can reduce the relative error of EIT reconstruction quality by about 12.0%.

Source: Mathematics

DOI: 10.3390/math13162663

Authors: Jidong Guo, Qiao Xin, Shihong Yue

Institutions: Yili Normal University, Tianjin University

Language: English

Topic: Electrical and Bioimpedance Tomography

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Yili Normal University