• DocumentCode
    779755
  • Title

    Imaging of biomedical data using a multiplicative regularized contrast source inversion method

  • Author

    Abubakar, Aria ; van den Berg, P.M. ; Mallorqui, Jordi J.

  • Author_Institution
    Centre for Tech. Geoscience, Delft Univ. of Technol., Netherlands
  • Volume
    50
  • Issue
    7
  • fYear
    2002
  • fDate
    7/1/2002 12:00:00 AM
  • Firstpage
    1761
  • Lastpage
    1771
  • Abstract
    In this paper, the recently developed multiplicative regularized contrast source inversion method is applied to microwave biomedical applications. The inversion method is fully iterative and avoids solving any forward problem in each iterative step. In this way, the inverse scattering problem can efficiently be solved. Moreover, the recently developed multiplicative regularizer allows us to apply the method blindly to experimental data. We demonstrate inversion from experimental data collected by a 2.33-GHz circular microwave scanner using a two-dimensional (2-D) TM polarization measurement setup. Further some results of a feasibility study of the present inversion method to the 2-D TE polarization and the full-vectorial three-dimensional measurement will be presented as well
  • Keywords
    inverse problems; iterative methods; medical image processing; microwave imaging; 2.33 GHz; biomedical imaging; circular microwave scanner; full-vectorial three-dimensional measurement; inverse scattering; iterative method; multiplicative regularized contrast source inversion method; two-dimensional TE polarization measurement; two-dimensional TM polarization measurement; Bioinformatics; Biomedical imaging; Biomedical measurements; Inverse problems; Iterative methods; Microwave imaging; Microwave measurements; Microwave theory and techniques; Polarization; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/TMTT.2002.800427
  • Filename
    1017641