Work

A Novel Inversion Method for Electrical Impedance Tomography with a Radial Basis Operator Network

Year: 2026

Type: article

Abstract: We apply a new operator neural network to solve the Electrical Impedance Tomography (EIT) inverse problem. The EIT inverse problem involves reconstructing the conductivity inside a specific body or domain, given the electric potential along the boundary of said body. Mathematically speaking, the inverse problem is known to be severely ill-posed, that is, hard to reliably solve. However, we demonstrate the efficacy of our proposed algorithm utilizing the aforementioned neural network, dubbed the Radial Basis Operator Network (RBON) in its seminal work, when applied to the EIT inverse problem.

Source: Mathematics

DOI: 10.3390/math14020336

Authors: Jason Kurz, Andrew Pangia, Taufiquar Khan

Institutions: University of Waikato, University of North Carolina at Charlotte

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: University of North Carolina at Charlotte