• DocumentCode
    1062532
  • Title

    Comparison of an Enhanced Distorted Born Iterative Method and the Multiplicative-Regularized Contrast Source Inversion method

  • Author

    Gilmore, Colin ; Mojabi, Puyan ; LoVetri, Joe

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
  • Volume
    57
  • Issue
    8
  • fYear
    2009
  • Firstpage
    2341
  • Lastpage
    2351
  • Abstract
    For 2D transverse magnetic (TM) microwave inversion, multiplicative-regularized contrast source inversion (MR-CSI), and the distorted Born iterative method (DBIM) are compared. The comparison is based on a computational resource analysis, inversion of synthetic data, and inversion of experimentally collected data from both the Fresnel and UPC Barcelona data sets. All inversion results are blind, but appropriate physical values for the reconstructed contrast are maintained. The data sets used to test the algorithms vary widely in terms of the background media, antennas, and far/near field considerations. To ensure that the comparison is replicable, an automatic regularization parameter selection method is used for the additive regularization within the DBIM, which utilizes a fast implementation of the L-curve method and the Laplacian regularizer. While not used in the classical DBIM, we introduce an MR term to the DBIM in order to provide comparable results to MR-CSI. The introduction of this MR term requires only slight modifications to the classical DBIM algorithm, and adds little computational complexity. The results show that with the addition of the MR term in the DBIM, the two algorithms provide very similar inversion results, but with the MR-CSI method providing advantages for both computational resources and ease of implementation.
  • Keywords
    biomedical imaging; inverse problems; biomedical electromagnetic imaging; computational complexity; data sets; distorted born iterative method; electromagnetic scattering inverse problems; multiplicative-regularized contrast source inversion method; transverse magnetic microwave; Biology computing; Biomedical imaging; Electromagnetic scattering; Image reconstruction; Inverse problems; Iterative methods; Magnetic analysis; Microwave imaging; Microwave theory and techniques; Testing; Biomedical electromagnetic imaging; electromagnetic scattering inverse problems; inverse problems;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2009.2024478
  • Filename
    5067347