Abstract: Traditional one-plane (oneP) electrical impedance tomography (EIT) electrode configurations limit evaluation to a convex lens-shaped lung slice, prone to overrepresentation of central areas. Two-plane (twoP) EIT is expected to refine this technique and result in more representative lung imaging. Objective: To compare ventilation distribution using single slice reconstructions, obtained with twoP or oneP. Methods: Computational modelling and in vivo exploratory randomised experimental trial. Methods: A finite element simulation model of oneP and twoP was calculated to estimate captured lung fields. Thereafter, twoP and oneP EIT data were collected in 20 standing horses at baseline, during stance variations and rebreathing. A visual functional region of interest representing the lung field was defined and EIT data reconstructed. Centres of ventilation (CoV), regional ventilation (∆Z, expressed as L or R for left or right lung, and D, CD, CV, or V for dorsal, central dorsal, central ventral or ventral regions) and tidal impedance variation (TIV) were compared between configurations at baseline and between baseline and challenge measurements using Wilcoxon matched pairs signed rank test and a mixed effect model. Proportional changes were compared using a paired t-test. Results: The simulation revealed a more evenly distributed vertical sensitivity with twoP compared to oneP. In vivo data were analysed to determine which EIT regional parameters increased (twoP vs. oneP). At baseline, ∆ZL, ∆ZR and CoV, were higher when using twoP (7.1 (5.9-8.0) vs. 2.2 (0.9-3.5): p < 0.001; 6.4 (5.6-7.5) vs. 1.5 (0.5-2.79): p < 0.001; 47.7 (46.8-49.29) vs. 43.3 (42.2-45.8): p < 0.001). With rebreathing, an increase in TIV and CoV was seen with both belt configurations (oneP: 25.13 (±1.967) vs. 49.39 (±11.27): p < 0.001 and 44.3 (±2.300) vs. 45.64 (±2.243): p = 0.002; twoP: 20.21 (±7.398) vs. 49.6 (±13.09): p < 0.001 and 48.79 (±2.126) vs. 50.38 (±1.783): p = 0.005). Conclusions: TwoP EIT reconstructions resulted in a more vertically uniform representation of ventilation in simulation and in vivo. This likely results in an enhanced representation of peripheral lung fields.
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Overview
This study compares two different electrode configurations (one-plane and two-plane) for electrical impedance tomography (EIT) to image lung ventilation in horses.
The researchers aimed to determine whether the two-plane (twoP) configuration provides a more accurate and representative imaging of lung ventilation than the traditional one-plane (oneP) method.
Background
Electrical Impedance Tomography (EIT): A non-invasive imaging technique used to visualize ventilation distribution in the lungs by measuring electrical impedance changes caused by air movement.
One-Plane (oneP) Electrode Configuration: Traditional method using electrodes placed in a single plane around the thorax, which captures a convex lens-shaped lung slice.
Limitation of oneP: Mainly overrepresents central lung regions while potentially underrepresenting peripheral lung areas.
Two-Plane (twoP) Electrode Configuration: Involves electrodes placed in two planes to capture lung impedance data, hypothesized to provide a more vertically uniform and representative image of the lungs.
Objectives
To compare ventilation distribution between oneP and twoP EIT configurations using single slice reconstructions.
To assess whether twoP improves imaging of lung ventilation, especially in peripheral and vertical lung regions.
Methods
Computational Modelling: Developed finite element simulation models for the oneP and twoP configurations to predict the volume and distribution of lung fields captured.
In Vivo Experimental Trial: Data collected from 20 standing horses at baseline, during stance changes, and during rebreathing challenges.
EIT Data Collection: Voltage data acquired from both oneP and twoP electrode belts placed around the thorax.
Region of Interest (ROI): Defined visually to represent the lung field for reconstruction and analysis of EIT data.
Parameters Analyzed:
Centres of Ventilation (CoV): Representing the mean position of ventilation distribution.
Regional ventilation changes (∆Z): Measured for left (L), right (R), dorsal (D), central dorsal (CD), central ventral (CV), and ventral (V) lung areas.
Tidal Impedance Variation (TIV): Represents the overall changes in impedance during breathing cycles, correlated with tidal volume.
Statistical Tests Used:
Wilcoxon matched pairs signed rank test for paired comparisons of parameters.
Mixed-effect models to evaluate effects of different conditions.
Paired t-tests for proportional changes during challenges.
Results
Simulation Findings:
TwoP configuration exhibited a more evenly distributed vertical sensitivity pattern compared to oneP, suggesting better capture of lung impedance across lung height.
Baseline In Vivo Findings:
Regional ventilation change (∆Z) for both left and right lungs was significantly higher with twoP than oneP.
Left lung ∆Z: 7.1 vs. 2.2 (twoP vs. oneP)
Right lung ∆Z: 6.4 vs. 1.5 (twoP vs. oneP)
Centre of ventilation (CoV) was higher with twoP (47.7) compared to oneP (43.3), indicating a more central or balanced ventilation depiction.
Rebreathing Challenge:
Both configurations showed increases in TIV and CoV, indicating increased ventilation and shifts in ventilation distribution during this respiratory challenge.
The two-plane EIT electrode configuration provides a more vertically uniform representation of lung ventilation both in computational models and real-life horse measurements.
TwoP likely enhances the detection and imaging of ventilation in peripheral lung areas that oneP tends to underrepresent.
This suggests twoP EIT could improve clinical or research evaluations of lung function by offering more accurate spatial representation of ventilation distribution.
Cite This Article
APA
Studer N, Byrne D, Raisis A, Adler A, Cheong J, Secombe C, Schramel JP, Mosing M.
(2026).
Thoracic electrical impedance tomography using a two-plane electrode configuration in horses.
Equine Vet J.
https://doi.org/10.1002/evj.70188
Animalius Vet, Bayswater, Western Australia, Australia.
Byrne, David
School of Veterinary Medicine, Murdoch University, Perth, Western Australia, Australia.
Raisis, Anthea
School of Veterinary Medicine, Murdoch University, Perth, Western Australia, Australia.
Adler, Andy
Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada.
Cheong, Jesslyn
Anaesthesia Service, CityU Veterinary Medical Centre, Kowloon, Hong Kong.
Secombe, Cristy
School of Veterinary Medicine, Murdoch University, Perth, Western Australia, Australia.
Schramel, Johannes Peter
Anaesthesiology and Intensive Care, Clinical Centre of Small Animal Health and Research, Clinical Department for Small Animals and Horses, University of Veterinary Medicine, Vienna, Austria.
Mosing, Martina
Anaesthesiology and Intensive Care, Clinical Centre of Small Animal Health and Research, Clinical Department for Small Animals and Horses, University of Veterinary Medicine, Vienna, Austria.
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