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Minimizing EIT image artefacts from mesh variability in finite element models.

Andy Adler1, William R B Lionheart

  • 1Systems and Computer Engineering, Carleton University, Ottawa, Canada. adler@sce.carleton.ca

Physiological Measurement
|June 8, 2011
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Summary
This summary is machine-generated.

Simulated node movement in finite element models (FEM) for electrical impedance tomography (EIT) can cause serious image artifacts. Addressing FEM mesh geometry is crucial for accurate EIT image reconstruction.

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Area of Science:

  • Medical Imaging
  • Computational Electromagnetics

Background:

  • Electrical impedance tomography (EIT) reconstructs internal conductivity using surface measurements and solving Laplace's equation.
  • Finite element models (FEM) are commonly used in EIT for their ability to handle complex geometries.

Purpose of the Study:

  • To investigate how simulated internal node variations in FEMs affect EIT image reconstruction.
  • To explore the hypothesis that mesh geometry-induced artifacts stem from anisotropic conductivity tensor projection.

Main Methods:

  • Simulated node position variations within FEMs were analyzed for their impact on EIT image reconstruction.
  • The relationship between node movement, element size, and anisotropic effects was mathematically analyzed.
  • A method to incorporate FEM node movement into the inverse problem formulation was developed.

Main Results:

  • Simulated internal node variations in FEMs can lead to significant image artifacts in EIT.
  • These artifacts are hypothesized to arise from the projection of anisotropic conductivity tensors onto the FEM system matrix.
  • The magnitude of the anisotropic effect is proportional to the relative node movement and element size.

Conclusions:

  • FEM mesh geometry variations are a critical factor causing artifacts in EIT image reconstruction.
  • Accounting for FEM node movement in the inverse problem formulation can help mitigate these artifacts.
  • Careful consideration of mesh geometry is essential for reliable EIT imaging.