• DocumentCode
    8156
  • Title

    Direct Image Reconstruction for 3-D Electrical Resistance Tomography by Using the Factorization Method and Electrodes on a Single Plane

  • Author

    Zhang Cao ; Lijun Xu

  • Author_Institution
    Sch. of Instrum. & Opto-Electron. Eng., Beihang Univ., Beijing, China
  • Volume
    62
  • Issue
    5
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    999
  • Lastpage
    1007
  • Abstract
    A direct reconstruction method for three-dimensional (3-D) electrical resistance tomography was introduced by using the factorization method. Compared with the traditional image reconstruction algorithms based on the sensitivity/Jacobian matrix, the conductivity distribution in any part of the 3-D region of interest can be obtained directly and independently. A new way to calculate the Neumann-to-Dirichlet map was also introduced by using the adjacent current pattern. Several phantoms were constructed for image reconstruction in three dimensions. The data were collected from 16 electrodes on a single cross section, which can be only used to produce two-dimensional images in the literature. Neither matrix inversion nor iteration was used in the process of image reconstruction. The reconstructed results validated the feasibility of the method.
  • Keywords
    Jacobian matrices; electric impedance imaging; electrodes; image reconstruction; matrix decomposition; 3D electrical resistance tomography; Jacobian matrix; Neumann-to-Dirichlet map; conductivity distribution; direct image reconstruction; factorization method; Conductivity; Eigenvalues and eigenfunctions; Electrodes; Image reconstruction; Reconstruction algorithms; Voltage measurement; Direct reconstruction method; Neumann-to-Dirichlet map; electrical resistance tomography; factorization method; three-dimensional (3-D) imaging;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2012.2232475
  • Filename
    6410031