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Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

Tracking boundary movement and exterior shape modelling in lung EIT imaging.

A Biguri¹, B Grychtol, A Adler

¹Engineering Tomography Lab (ETL), Electronic and Electrical Engineering, University of Bath, Bath, North East Somerset BA2 7AY, UK.

Physiological Measurement

|May 27, 2015

Summary

Electrode movement during breathing causes artifacts in lung electrical impedance tomography (EIT) imaging. Dynamic boundary tracking offers the most robust solution, though it is computationally intensive.

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Area of Science:

Medical Imaging
Biomedical Engineering

Background:

Electrical impedance tomography (EIT) shows potential for lung imaging.
Electrode movement during respiration causes image artifacts, a key challenge for EIT.

Purpose of the Study:

To analyze boundary model mismatch and electrode movement in lung EIT.
To evaluate algorithm tolerance to movement and the need for patient-specific models.

Main Methods:

Simulated movement data from a CT-based model.
Quantitative image analysis using figures of merit.
Proposed extended Jacobian method with exterior boundary tracking.

Main Results:

Dynamic boundary tracking is the most robust method against movement, but is computationally expensive.
Simultaneous electrode movement and conductivity reconstruction algorithms are more robust than conductivity-only reconstruction.

Conclusions:

Comparative study aids understanding of shape model mismatch and electrode movement impacts in lung EIT.
Dynamic boundary tracking is superior for robustness, balancing computational cost is key.