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Electrical impedance tomography. A sensitivity region reconstruction algorithm using adjacent drive current injection

R Gadd1, P Record, P Rolfe

  • 1Department of Biomedical Engineering and Medical Physics, School of Biological Sciences, University of Keele, UK.

Clinical Physics and Physiological Measurement : an Official Journal of the Hospital Physicists' Association, Deutsche Gesellschaft Fur Medizinische Physik and the European Federation of Organisations for Medical Physics
|January 1, 1992
PubMed
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This study introduces a new sensitivity region method for back projection, improving image reconstruction by focusing on significant measurement pairs. This enhances the accuracy of electrical impedance tomography (EIT) imaging.

Area of Science:

  • Electrical Engineering
  • Biomedical Imaging
  • Computational Science

Background:

  • Traditional back projection methods in electrical impedance tomography (EIT) can be computationally intensive.
  • Optimizing sensitivity calculations is crucial for accurate EIT image reconstruction.

Purpose of the Study:

  • To adapt the sensitivity region method for adjacent drive current injection strategies in EIT.
  • To improve the efficiency and accuracy of EIT image reconstruction by incorporating individual sensitivity coefficients.

Main Methods:

  • Transformed the sensitivity region method from a polar drive to an adjacent drive current injection strategy.
  • Established pixel-wise sensitivity coefficients and grouped pixels into 'sensitivity regions' based on maximal sensitivity.
  • Performed back projection using these coefficients, effectively ignoring less sensitive measurement pairs.

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Main Results:

  • Demonstrated the application of the new method using computer-simulated and raw EIT data.
  • Presented comparative analysis with the existing polar current injection strategy.

Conclusions:

  • The adapted sensitivity region method offers a viable approach for EIT image reconstruction with adjacent current injection.
  • The method shows potential for improved reconstruction accuracy and efficiency in EIT.