• DocumentCode
    2517785
  • Title

    Reconstruction Method of Magnetic Induction Tomography Based on Filter Back-Projection

  • Author

    Li Ke ; Qiang Du ; Xu Wang

  • Author_Institution
    Inst. of Biomed. & Electromagn. Eng., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Magnetic Induction Tomography (MIT) is a new method contact-less method of conductivity tomography, and it gets the conductivity of biology based on electromagnetic detecting. In the excitation of excitation coil the biologic tissue inspires perturbation, which could be measured by receiver coils. For the questions of MIT system, a new multi-channel magnetic induction imaging system model with rotatable platform was proposed in this paper, and a reconstruction method based on filter back-projection was presented. First, the detected data was supplemented to a round, and then was interpolated in the reconstruction process. At last the reconstructed image was got. Experiment results demonstrate that this model is an effective model in magnetic detecting and the conductivity of different objects can be distinguished effectively, and the conductivity in the detecting area could be imaging by the model and reconstruction method.
  • Keywords
    biological tissues; electromagnetic induction; image reconstruction; medical image processing; tomography; biologic tissue; contact-less method; electromagnetic detection; excitation coil; filter back-projection; image reconstruction method; magnetic induction tomography; multichannel magnetic induction imaging system model; receiver coil; Biological tissues; Coils; Conductivity; Electromagnetic induction; Filters; Image reconstruction; Magnetic separation; Object detection; Reconstruction algorithms; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163285
  • Filename
    5163285