Fast Absolute 3D CGO-Based Electrical Impedance Tomography on Experimental Tank Data

TL;DR

This paper demonstrates the first fully 3D CGO-based absolute electrical impedance tomography reconstructions on experimental tank data, showing fast processing times and robustness comparable to traditional methods.

Contribution

It introduces the first 3D CGO-based absolute EIT method applied to experimental data and compares its performance to existing TV regularized approaches.

Findings

CGO-based methods are fast, taking 1-5 seconds.

They show strong robustness to incorrect domain modeling.

They produce fewer boundary artifacts than TV regularized reconstructions.

Abstract

Objective: To present the first 3D CGO-based absolute EIT reconstructions from experimental tank data. Approach: CGO-based methods for absolute EIT imaging are compared to traditional TV regularized non-linear least squares reconstruction methods. Additional robustness testing is performed by considering incorrect model\textbf{}ing of domain shape. Main Results: The CGO-based methods are fast, and show strong robustness to incorrect domain modeling comparable to classic difference EIT imaging and fewer boundary artefacts than the TV regularized non-linear least squares reference reconstructions. Significance: This work is the first to demonstrate fully 3D CGO-based absolute EIT reconstruction on experimental data and also compares to TV-regularized absolute reconstruction. The speed (1-5 seconds) and quality of the reconstructions is encouraging for future work in absolute EIT.