Work

A multifrequency image reconstruction for electrical impedance tomography to retain tissue spectral information

Year: 2024

Type: article

Abstract: : Electrical Impedance Tomography (EIT) is a medical imaging technique used to monitor patient respiration. It's safe, non-invasive, and cost-effective but suffers from low spatial resolution and poor tissue discrimination due to its reliance on single-frequency alternating current measurements. We present a new EIT reconstruction algorithm that uses multi frequency measurements to account for the spectral properties of tissues. Tested on a simulated phantom with muscle and lung tissue data, this algorithm retains frequency dependence, improving tissue distinguishability in EIT images.

Source: Repository of Futwangen University of Applied Sciences (Furtwangen University)

DOI: 10.5281/zenodo.14278695

Authors: Battistel, A., Wilkie, J., Chen, R., Möller, K.

Institutions: Furtwangen University, University of Freiburg

Language: English

Topic: Electrical and Bioimpedance Tomography

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6911765793