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Shape deformation in two-dimensional electrical impedance tomography.

Alistair Boyle1, Andy Adler, William R B Lionheart

  • 1Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, K1S 5B6 Canada. boyle@sce.carleton.ca

IEEE Transactions on Medical Imaging
|June 20, 2012
PubMed
Summary
This summary is machine-generated.

Electrical impedance tomography (EIT) can produce artifacts due to shape changes. This study explores compensating for boundary movement in EIT, showing that some distortions can be reconstructed, reducing image artifacts.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Electrical Engineering

Background:

  • Electrical impedance tomography (EIT) reconstructs conductivity images from surface electrode measurements.
  • Measurement changes in EIT can arise from internal conductivity variations or boundary shape changes.
  • Ignoring shape changes leads to significant artifacts in EIT conductivity images.

Purpose of the Study:

  • To investigate the limits of compensating for boundary movement in EIT.
  • To determine how shape changes affect conductivity reconstructions.
  • To reduce artifacts in EIT images caused by boundary deformations.

Main Methods:

  • Developed a theoretical model to decompose deformation fields into conformal and nonconformal components.
  • Utilized finite element models to simulate EIT measurements from deformed domains.
  • Constructed an experimental phantom to acquire boundary deformation data.

Main Results:

  • Simulation and experimental results indicate that some electrode movement and boundary distortions can be reconstructed.
  • Reconstruction is achievable based on conductivity changes alone.
  • The proposed methods help reduce image artifacts in EIT.

Conclusions:

  • The study defines the limits of compensation for boundary movement in EIT.
  • Reconstructing boundary deformations can mitigate artifacts in conductivity images.
  • This research advances the accuracy and reliability of EIT imaging.