Hybrid Method for Image Reconstruction in Magnetic Induction Tomography: Combination of the Neural Network with an Iterative Analytical Algorithm
Year: 2024
Type: article
Abstract: Magnetic induction tomography (MIT) is an imaging technique that uses eddy current effects to map the conductivity of low conductive objects. It has a wide range of applications and offers numerous possibilities in various fields. One task of this imaging method involves resolving the ill-posed and nonlinear inverse problem. However, existing methods have weaknesses. A hybrid approach that integrates theoretical algorithms with machine-learning methods is proposed as an innovative solution to the challenges of MIT reconstruction.
Authors: Tatiana Schledewitz, Anna Hofmann, Moritz Fehr, Andreas Sauer, Dirk Rueter
Institution: Ruhr West University of Applied Sciences
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405554693