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Optimal experiments in electrical impedance tomography.

K Paulson1, W Lionheart, M Pidcock

  • 1Sch. of Comput. & Math. Sci., Oxford Brookes Univ.

IEEE Transactions on Medical Imaging
|January 1, 1993
PubMed
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Electrical impedance tomography (EIT) uses surface electrical measurements for noninvasive imaging. New optimal experiments significantly speed up impedance image reconstruction, offering comparable results to standard methods.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Electromagnetics

Background:

  • Electrical impedance tomography (EIT) is a noninvasive imaging method.
  • EIT reconstructs internal impedance distributions from surface electrical measurements.
  • Image reconstruction in EIT is computationally intensive and sensitive to noise.

Purpose of the Study:

  • To define optimal experimental measurements for EIT.
  • To develop a faster EIT reconstruction algorithm.
  • To improve the distinguishability of impedance imaging.

Main Methods:

  • Defined experimental measurements for EIT.
  • Calculated optimal experiments maximizing distinguishability.
  • Derived a reconstruction algorithm utilizing optimal experiments.

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Main Results:

  • Optimal experiments derived from boundary measurements.
  • Analysis clarified properties of different voltage measurement schemes.
  • The new algorithm is significantly faster than standard Newton-based methods.
  • Reconstructed images from synthetic data are comparable in quality.

Conclusions:

  • Optimal experimental designs can enhance EIT.
  • A novel, faster EIT reconstruction algorithm was developed.
  • The proposed method offers a promising alternative for impedance imaging.