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Four-Dimensional Regularization for Electrical Impedance Tomography Imaging

  • Tao Dai
  • Manuchehr Soleimani
  • Andy Adler
Part of the IFMBE Proceedings book series (IFMBE, volume 17)

Abstract

This paper proposes 4-D EIT image reconstuction for functional EIT measurements. The approach directly accounts for 3-D interslice spatial correlations and temporal correlations between images in successive data frames. Image reconstruction is posed in terms of an augmented image ~ and measurement vector ~, which concatenate the values from the d previous and future frames. Images reconstruction is then based on an augmented regularization matrix ~, which accounts for a model with 4-D correlations of image elements, interslices and temporal frames. The temporal correlation matrix is objectively calculated from measurement data. Results of simulations are compared by reconstruction algorithms based on conventional 3-D and proposed 4-D priors.

Keywords

Electrical Impedance Tomography Conductivity Distribution Electrical Impedance Tomography Image Electrical Impedance Tomography System Electrical Impedance Tomography Reconstruction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Tao Dai
    • 1
  • Manuchehr Soleimani
    • 2
  • Andy Adler
    • 1
  1. 1.Systems and Computer Engineering Carleton UniversityOttawaCanada
  2. 2.William Lee Innovation CentreUniversity of ManchesterManchesterUK

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