• DocumentCode
    1909202
  • Title

    An Evaluation Method for Reconstructed Images in Electrical Tomography

  • Author

    Wang, Chao ; Qian, Xiangchen ; Yan, Yong ; Dong, Feng ; Wang, Huaxiang

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
  • fYear
    2008
  • fDate
    12-15 May 2008
  • Firstpage
    692
  • Lastpage
    696
  • Abstract
    The quality of reconstructed images plays an important part in evaluating reconstruction algorithms in electrical tomography. Existing image evaluation methods have many limitations. A multi-parameter and quantitative evaluation method is presented in this paper, which is based on the analysis of the characteristics of reconstructed images and digital image processing methods. The new method has three types of evaluation parameters, i.e., area, position, and similarity parameters. In order to ensure the efficacy of the new method, some typical distribution models are built using electrical field simulation software. Simulation data derived from the finite element method are also given. The simulation data demonstrate that the method is suitable for comprehensive evaluation of reconstructed images and the results are consistent with visual perception.
  • Keywords
    computerised tomography; image reconstruction; medical image processing; digital image processing methods; electrical field simulation software; electrical tomography; image evaluation methods; reconstructed images; similarity parameters; visual perception; Area measurement; Biomedical measurements; Digital images; Electric variables measurement; Electrical capacitance tomography; Image quality; Image reconstruction; Image resolution; Iterative algorithms; Spatial resolution; Electrical tomography; digital image processing; evaluation method; image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE
  • Conference_Location
    Victoria, BC
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-1540-3
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2008.4547125
  • Filename
    4547125