• DocumentCode
    1545176
  • Title

    Electrical impedance tomography

  • Author

    Saulnier, G.J. ; Blue, Russell S. ; Newell, Jonathan C. ; Isaacson, David ; Edic, Peter M.

  • Volume
    18
  • Issue
    6
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    31
  • Lastpage
    43
  • Abstract
    Electrical impedance tomography (EIT) is an imaging modality that estimates the electrical properties at the interior of an object from measurements made on its surface. Typically, currents are injected into the object through electrodes placed on its surface, and the resulting electrode voltages are measured. An appropriate set of current patterns, with each pattern specifying the value of the current for each electrode, is applied to the object, and a reconstruction algorithm uses knowledge of the applied current patterns and the measured electrode voltages to solve the inverse problem, computing the electrical conductivity and permittivity distributions in the object. This article focuses on the type of EIT called adaptive current tomography (ACT) in which currents are applied simultaneously to all the electrodes. A number of current patterns are applied, where each pattern defines the current for each electrode, and the subsequent electrode voltages are measured to generate the data required for image reconstruction. A ring of electrodes may be placed in a single plane around the object, to define a two-dimensional problem, or in several layers of such rings, to define a three-dimensional problem. The reconstruction problem is described and two algorithms are discussed, a one-step, two-dimensional (2-D) Newton-Raphson algorithm and a one-step, full three-dimensional (3-D) reconstructor. Results from experimental data are presented which illustrate the performance of the algorithms
  • Keywords
    Newton-Raphson method; adaptive signal processing; electric impedance; electrical conductivity; image reconstruction; least squares approximations; permittivity; tomography; 2D Newton-Raphson algorithm; 3D reconstructor; adaptive current tomography; current patterns; electrical conductivity distribution; electrical impedance tomography; electrical permittivity distribution; electrical properties; electrode voltage measurement; image reconstruction; inverse problem; least-squares minimization; reconstruction algorithm; three-dimensional problem; two-dimensional problem; Current measurement; Electric variables measurement; Electrodes; Image reconstruction; Impedance measurement; Permittivity measurement; Surface impedance; Surface reconstruction; Tomography; Voltage;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/79.962276
  • Filename
    962276