• DocumentCode
    1254782
  • Title

    A reconstruction algorithm for electrical impedance tomography data collected on rectangular electrode arrays

  • Author

    Mueller, Jennifer L. ; Isaacson, David ; Newell, Jonathan C.

  • Author_Institution
    Dept. of Math. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    46
  • Issue
    11
  • fYear
    1999
  • Firstpage
    1379
  • Lastpage
    1386
  • Abstract
    A three-dimensional reconstruction algorithm in electrical impedance imaging is presented for determining the conductivity distribution beneath the surface of a medium, given surface voltage data measured on a rectangular array of electrodes. Such an electrode configuration may be desirable for using electrical impedance tomography to detect tumors in the human breast. The algorithm is based on linearizing the conductivity about a constant value. Here, the authors describe a simple implementation of the algorithm on a four electrode-by-four-electrode array and the reconstructions obtained from numerical and experimental tank data. The results demonstrate significantly better spatial resolution in the plane of the electrodes than with respect to depth.
  • Keywords
    biomedical electrodes; electric impedance imaging; image reconstruction; image resolution; medical image processing; tumours; conductivity distribution determination; electrical impedance tomography data; electrodes plane; experimental tank data; four electrode-by-four-electrode array; human breast tumors detection; medical diagnostic imaging; reconstruction algorithm; rectangular electrode arrays; spatial resolution; Conductivity measurement; Electric variables measurement; Electrodes; Impedance measurement; Medium voltage; Reconstruction algorithms; Surface impedance; Surface reconstruction; Tomography; Voltage measurement; Algorithms; Breast Neoplasms; Electric Impedance; Electrodes; Female; Humans; Models, Biological; Tomography;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.797998
  • Filename
    797998