• DocumentCode
    438946
  • Title

    Electrical impedance tomography for local biological tissue

  • Author

    Kato, Hiromi ; Yasuno, Emiko ; Kinouchi, Yohsuke ; Morimoto, Tadaoki

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokushima Univ., Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    942
  • Abstract
    Electrical impedance tomography (EIT) is 2D or 3D image of electrical impedance distribution in a living tissue. It has become expected as a different method to obtain a tissue characteristic for various medical diagnoses. To realize a practical EIT measurement system, it is an important subject to choose a proper configuration of the electrodes, because the EIT is estimated from impedance data, which is measured non-invasively by surface electrodes. In this study, a new configuration of the electrodes, called divided electrode, is proposed for a short time measurement of bio-impedance in a cross section of a local tissue. Its capability is examined by computer simulations, where a distributed equivalent circuit is used as a model in the cross section of the tissue. Estimation of impedance parameters is carried out by use of the Newton method. Usefulness of the proposed method is confirmed by computer simulations using a typical layered tissue model.
  • Keywords
    Newton method; biological tissues; electric impedance imaging; medical computing; medical image processing; patient diagnosis; 2D image; 3D image; Newton method; distributed equivalent circuit; divided electrode; electrical impedance distribution; electrical impedance tomography; local biological tissue; medical diagnoses; Biological tissues; Biomedical electrodes; Computer simulation; Equivalent circuits; Impedance measurement; Medical diagnosis; Parameter estimation; Surface impedance; Time measurement; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1468967
  • Filename
    1468967