Improved Forward Problem Modeling in Magnetic Induction Tomography for Biomedical Applications

TL;DR

This paper presents an improved 2D forward modeling method for magnetic induction tomography that incorporates skin and proximity effects, enhancing accuracy for biomedical applications.

Contribution

It introduces a novel model for 2D MIT that accounts for skin and proximity effects, validated through FEM simulations on a 16-coil system.

Findings

Significant voltage differences between early and improved models.

Enhanced modeling accuracy improves conductivity contrast detection.

Validated the importance of the improved model for biomedical MIT applications.

Abstract

The main contribution of this thesis is to investigate the incorporating skin and proximity effects in magnetic induction tomography (MIT) coils and present an improved model for the two-dimensional (2D) forward problem. To evaluate the performance of the improved method in possible biomedical applications, a 16 coils 2D MIT system is modeled, and the finite element method (FEM) is employed to solve the forward problem. Results show the difference between the induced voltages obtained from the early and improved method falls into the meaningful range in terms of achievable conductivity contrast from the improved one. This finding revealed the importance and necessity of using the improved forward method for modeling 2D MIT coils for biomedical applications...