• DocumentCode
    3358207
  • Title

    Detection of sub-surface objects by electrical impedance tomography

  • Author

    Kotre, C.J.

  • Author_Institution
    Regional Med. Phys. Dept., Newcastle Gen. Hospital, UK
  • fYear
    1996
  • fDate
    7-9 Oct 1996
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    A technique called INSEIT (Imaging Near the Surface by Electrical Impedance Tomography) has been developed for potential applications in the field of medical imaging. The technique allows changes in electrical impedance to be imaged in sub-surface planes below an array of surface electrodes. Although the adaptation of this approach to the task of detecting buried land mines involves some obvious practical difficulties with electrode contact, the method might find application in situations where large electrical impedance contrasts are present. The image reconstruction mathematics used for INSEIT and for general cross-sectional electrical impedance tomography has been shown to be suitable for industrial imaging using capacitive and inductive sensors, so alternative sensing methods based on the same image reconstruction strategy are a possibility. The viability of INSEIT in the practical situation of unknown sub-surface features and an imperfectly flat surface, and the overall performance of the approach in locating buried objects is examined using software simulations and experimental data sets
  • Keywords
    weapons; INSEIT; Imaging Near the Surface by Electrical Impedance Tomography; cross-sectional electrical impedance tomography; electrical impedance changes imaging; electrical impedance tomography; image reconstruction mathematics; imperfectly flat surface; software simulations; sub-surface objects detection; sub-surface planes; surface electrodes; unknown sub-surface features;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    The Detection of Abandoned Land Mines: A Humanitarian Imperative Seeking a Technical Solution, EUREL International Conference on (Conf. Publ. No. 431)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-669-5
  • Type

    conf

  • DOI
    10.1049/cp:19961081
  • Filename
    646374