Numerical modelling errors in electrical impedance tomography

Hamid Dehghani, Manuchehr Soleimani

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Electrical impedance tomography (EIT) is a non-invasive technique that aims to reconstruct images of internal impedance values of a volume of interest, based on measurements taken on the external boundary. Since most reconstruction algorithms rely on model-based approximations, it is important to ensure numerical accuracy for the model being used. This work demonstrates and highlights the importance of accurate modelling in terms of model discretization (meshing) and shows that although the predicted boundary data from a forward model may be within an accepted error, the calculated internal field, which is often used for image reconstruction, may contain errors, based on the mesh quality that will result in image artefacts.

Original languageEnglish
Pages (from-to)S45-55
JournalPhysiological Measurement
Issue number7
Publication statusPublished - Jul 2007


  • Electric Impedance
  • Humans
  • Image Processing, Computer-Assisted
  • Models, Biological
  • Reproducibility of Results
  • Tomography


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