Comparison of qualitative and quantitative impedance tomography image reconstruction methods.

Abstract In recent years, electrical impedance tomography (EIT) has gained significant relevance in research, agriculture, and biomedicine. To meet the specific needs of each application, specialized systems and algorithms have been developed. Evaluating their performance is crucial for their improvement and effective application. This work presents a methodology for the evaluation of EIT systems using mathematical tools such as the Pearson Correlation Coefficient (PCC) and Root Mean Square Error (RMSE). These metrics quantify the similarity and accuracy of qualitative and quantitative reconstruction algorithms using synthetic data generated in COMSOL Multiphysics. The results show that the PCC ranges from 0.8166 to 0.9686, while the RMSE varies between 0.12456 and 0.14827, depending on the electrical properties of the material and the domain. This methodology establishes a framework for integrating new evaluation tools, contributing to the advancement of EIT systems and reconstruction algorithms.