Reconstruction of admittivity distribution without phase measurements in multi-frequency electrical impedance tomography (MFEIT)

Abstract Electrical impedance tomography (EIT) is an imaging modality based on applying electrical currents to the target object. Traditionally, both the magnitude and phase of electric potential measured on the target surface are required to reconstruct the admittivity, i.e. conductivity and permittivity, inside the target. However, measuring the phase of potential requires a more advanced EIT system than that used in amplitude data-based electrical resistance tomography. In this article, we propose a novel EIT method, amplitude-based multi-frequency EIT (AMFEIT), which reconstructs admittivity using only amplitude data. Therefore, AMFEIT can be used with devices that do not provide the phase data. The performance of AMFEIT is compared to that of traditional single frequency EIT using numerical and experimental tests. In simulations, the effects of certain modelling errors and choice of frequencies on the reconstruction quality are studied. In the experimental setup, several targets inside a water tank are imaged. Both the numerical and experimental tests support the feasibility of AMFEIT for reconstructing admittivity distributions. When the frequencies are properly chosen, the AMFEIT yields reconstructions that are of the same quality as those based on conventional EIT that uses phase data.

Authors

Institutions

Publication Details

Journal
Measurement Science and Technology
Published
2025-02-20
DOI
https://doi.org/10.1088/1361-6501/adb86d
Citations
1
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reconstruction of admittivity distribution without phase measurements in multi-frequency electrical impedance tomography (MFEIT)

Aku Seppänen, Moe Pourghaz, Petri Kuusela
1 citations
Measurement Science and Technology
Electrical and Bioimpedance Tomography
0.73
article

Reconstruction of admittivity distribution without phase measurements in multi-frequency electrical impedance tomography (MFEIT)

Aku Seppänen, Moe Pourghaz, Petri Kuusela
article en
1 citations

Abstract

Abstract Electrical impedance tomography (EIT) is an imaging modality based on applying electrical currents to the target object. Traditionally, both the magnitude and phase of electric potential measured on the target surface are required to reconstruct the admittivity, i.e. conductivity and permittivity, inside the target. However, measuring the phase of potential requires a more advanced EIT system than that used in amplitude data-based electrical resistance tomography. In this article, we propose a novel EIT method, amplitude-based multi-frequency EIT (AMFEIT), which reconstructs admittivity using only amplitude data. Therefore, AMFEIT can be used with devices that do not provide the phase data. The performance of AMFEIT is compared to that of traditional single frequency EIT using numerical and experimental tests. In simulations, the effects of certain modelling errors and choice of frequencies on the reconstruction quality are studied. In the experimental setup, several targets inside a water tank are imaged. Both the numerical and experimental tests support the feasibility of AMFEIT for reconstructing admittivity distributions. When the frequencies are properly chosen, the AMFEIT yields reconstructions that are of the same quality as those based on conventional EIT that uses phase data.

Measurement Science and TechnologyVol. 36(3)
North Carolina State University (US), University of Eastern Finland (FI)
Academy of Finland
Clean water and sanitation
Openalex Percentile: Top 31%
Electrical and Bioimpedance Tomography
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reconstruction of admittivity distribution without phase measurements in multi-frequency electrical impedance tomography (MFEIT) — Aku Seppänen, Moe Pourghaz, et al. · Measurement Science and Technology (2025) | TGRS Research Map | TGRS