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Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
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Lobe based image reconstruction in Electrical Impedance Tomography.

Benjamin Schullcke1,2, Bo Gong1,2, Sabine Krueger-Ziolek1,2

  • 1Institute of Technical Medicine, Furtwangen University, 78045, VS-Schwenningen, Germany.

Medical Physics
|January 26, 2017
PubMed
Summary
This summary is machine-generated.

Electrical Impedance Tomography (EIT) can now estimate conductivity changes in individual lung lobes, improving ventilation monitoring for lung diseases like COPD and cystic fibrosis. This new approach enhances image interpretation by directly assessing lobe-specific impedance changes.

Keywords:
electrical impedance tomographylobe ventilationpatient-specific functional imaging

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Pulmonary Medicine

Background:

  • Electrical Impedance Tomography (EIT) images thoracic impedance changes, reflecting lung air content and regional ventilation.
  • Standard EIT reconstruction visualizes a lens-shaped region, often impeding interpretation due to 'off-plane' conductivity effects.
  • Accurate regional lung ventilation assessment is crucial for managing obstructive lung diseases.

Purpose of the Study:

  • To develop and validate an EIT approach for estimating individual lung lobe conductivity changes.
  • To improve the anatomical assignability and interpretation of EIT images.
  • To facilitate monitoring of lung diseases such as COPD and cystic fibrosis.

Main Methods:

  • Simulated thoracic and lung conductivity changes using a 3D finite element model (FEM).
  • Developed a 'lobe reconstruction' algorithm incorporating patient-specific anatomy.
  • Compared standard and 'lobe reconstruction' algorithms using correlation and regression analyses.
  • Validated the approach with EIT measurements from a cystic fibrosis patient.

Main Results:

  • The 'lobe reconstruction' algorithm accurately estimated conductivity changes in individual lung lobes (r > 0.89).
  • Electrode plane positioning accuracy is critical for precise conductivity estimations.
  • The approach demonstrated potential for realistic clinical scenarios.

Conclusions:

  • The novel EIT approach enhances image interpretation by providing lobe-specific ventilation data.
  • This method facilitates direct determination of impedance changes in each lung lobe.
  • It offers a more comprehensive insight into lung pathophysiology for obstructive lung diseases.