• DocumentCode
    568321
  • Title

    Total variation image reconstruction for electrical capacitance tomography

  • Author

    Chandrasekera, Thusara C. ; Li, Yi ; Dennis, John S. ; Holland, Daniel J.

  • Author_Institution
    Dept. of Chem. Eng. & Biotechnol., Univ. of Cambridge, Cambridge, UK
  • fYear
    2012
  • fDate
    16-17 July 2012
  • Firstpage
    584
  • Lastpage
    589
  • Abstract
    A new iterative reconstruction technique for electrical capacitance tomography (ECT) is presented. This method applies iterative soft thresholding to penalize the total variation of the ECT image. This method is shown to allow for sharp changes between different regions of simulated ECT images, unlike conventional iterative reconstruction techniques such as ART, SIRT and the Landweber iteration. The technique is demonstrated on experimental results for a phantom with distinct regions of gas and solid. The technique is therefore appropriate for the imaging of multiphase systems.
  • Keywords
    capacitance measurement; electric impedance imaging; flow visualisation; image reconstruction; iterative methods; multiphase flow; electrical capacitance tomography; iterative reconstruction technique; iterative soft thresholding; multiphase system imaging; total variation image reconstruction; Capacitance measurement; Electrodes; Image reconstruction; Permittivity; Permittivity measurement; Phantoms; Vectors; Fast Iterative Shrinkage Thresholding Algorithm; electrical capacitance tomography; image reconstruction; imaging; iterative soft thresholding; total variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2012 IEEE International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-1-4577-1776-5
  • Type

    conf

  • DOI
    10.1109/IST.2012.6295573
  • Filename
    6295573