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Equine veterinary journal2026; doi: 10.1002/evj.70188

Thoracic electrical impedance tomography using a two-plane electrode configuration in horses.

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.
Publication Date: 2026-05-28 PubMed ID: 42205091DOI: 10.1002/evj.70188Google Scholar: Lookup
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  • Journal Article

Summary

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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.
    • TwoP retained higher CoV values during intervention, supporting improved vertical representation.

Conclusions

  • 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

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English

Researcher Affiliations

Studer, Nicole
  • 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.

References

This article includes 22 references
  1. Sacks M, Byrne DP, Herteman N, Secombe C, Adler A, Hosgood G. Electrical impedance tomography to measure lung ventilation distribution in healthy horses and horses with left‐sided cardiac volume overload. J Vet Intern Med 2021;35(5):2511–2523.
    doi: 10.1111/jvim.16227google scholar: lookup
  2. Secombe C, Adler A, Hosgood G, Raisis A, Mosing M. Can bronchoconstriction and bronchodilatation in horses be detected using electrical impedance tomography?. J Vet Intern Med 2021;35(4):2035–2044.
    doi: 10.1111/jvim.16152google scholar: lookup
  3. Schramel J, Nagel C, Auer U, Palm F, Aurich C, Moens Y. Distribution of ventilation in pregnant Shetland ponies measured by Electrical Impedance Tomography. Respir Physiol Neurobiol 2012;180(2–3):258–262.
  4. Ambrisko TD. Assessment of distribution of ventilation by electrical impedance tomography in standing horses. Physiol Meas 2015;37(2):175–186.
  5. Mosing M, Auer U, MacFarlane P, Bardell D, Schramel JP, Böhm SH. Regional ventilation distribution and dead space in anaesthetized horses treated with and without continuous positive airway pressure: novel insights by electrical impedance tomography and volumetric capnography. Vet Anaesth Analg 2018;45(1):31–40.
    doi: 10.1016/j.vaa.2017.06.004google scholar: lookup
  6. Moens Y, Schramel JP, Tusman G, Ambrisko TD, Solà J, Brunner JX. Variety of non‐invasive continuous monitoring methodologies including electrical impedance tomography provides novel insights into the physiology of lung collapse and recruitment – case report of an anaesthetized horse. Vet Anaesth Analg 2014;41(2):196–204.
    doi: 10.1111/vaa.12098google scholar: lookup
  7. Mosing M, Marly‐Voquer C, MacFarlane P, Bardell D, Böhm SH, Bettschart‐Wolfensberger R. Regional distribution of ventilation in horses in dorsal recumbency during spontaneous and mechanical ventilation assessed by electrical impedance tomography: a case series. Vet Anaesth Analg 2017;44(1):127–132.
    doi: 10.1111/vaa.12405google scholar: lookup
  8. Mosing M, Waldmann AD, Raisis A, Böhm SH, Drynan E, Wilson K. Monitoring of tidal ventilation by electrical impedance tomography in anaesthetised horses. Equine Vet J 2019;51(2):222–226.
    doi: 10.1111/evj.12998google scholar: lookup
  9. Auer U, Schramel JP, Moens YP, Mosing M, Braun C. Monitoring changes in distribution of pulmonary ventilation by functional electrical impedance tomography in anaesthetized ponies. Vet Anaesth Analg 2019;46(2):200–208.
    doi: 10.1016/j.vaa.2018.09.048google scholar: lookup
  10. Grychtol B, Müller B, Adler A. 3D EIT image reconstruction with GREIT. Physiol Meas 2016;37(6):785–800.
  11. Byrne D. Validation of three‐dimensional thoracic electrical impedance tomography of horses during normal and increased tidal volumes. Physiol Meas 2024;45(3):035010.
    doi: 10.1088/1361-6579/ad2eb3google scholar: lookup
  12. Grychtol B, Schramel JP, Braun F, Riedel T, Auer U, Mosing M. Thoracic EIT in 3D: experiences and recommendations. Physiol Meas 2019;40(7):074006.
    doi: 10.1088/1361-6579/ab291dgoogle scholar: lookup
  13. Schöberl J. NETGEN an advancing front 2D/3D‐mesh generator based on abstract rules. Comput Vis Sci 1997;1:41–52.
    doi: 10.1007/s007910050004google scholar: lookup
  14. Adler A, Lionheart WR. Uses and abuses of EIDORS: an extensible software base for EIT. Physiol Meas 2006;27(5):S25–S42.
  15. Adler A, Arnold JH, Bayford R, Borsic A, Brown B, Dixon P. GREIT: a unified approach to 2D linear EIT reconstruction of lung images. Physiol Meas 2009;30(6):S35–S55.
  16. Budras DR, Sack WO, Röck S. Anatomy of the horse. 3rd ed. Hannover: Schlütersche; 2001.
  17. Henneke DR, Potter GD, Kreider JL, Yeates BF. Relationship between condition score, physical measurements and body fat percentage in mares. Equine Vet J 1983;15(4):371–372.
  18. Campbell M, Adler A. EIT Electrode Quality Assessment and Data Rejection. p. 76, Conf. EIT 2021, Galway, Ireland, June 14–16, 2021.
  19. Brabant O et al. Thoracic electrical impedance tomography‐the 2022 veterinary consensus statement. Front Vet Sci 2022;9:946911.
    doi: 10.3389/fvets.2022.946911google scholar: lookup
  20. Crivellari B et al. Electrical impedance tomography (EIT) to estimate tidal volume in anaesthetized horses undergoing elective surgery. Animals (Basel) 2021;11(5):1350.
    doi: 10.3390/ani11051350google scholar: lookup
  21. Brabant O, Waldmann A, Buss P, Mosing M. Construction of a Finite Element model in Two Large Species for EIT Application. Presented at: Australian and New Zealand College of Veterinary Scientists: Science Week 05–07 July, 2018, Gold Coast, Australia.
  22. Nyman G, Funkquist B, Kvart C, Frostell C, Tokics L, Strandberg Å et al. Atelectasis causes gas exchange impairment in the anaesthetised horse. Equine Vet J 1990;22(5):317–324.

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