• DocumentCode
    1063886
  • Title

    An Eigenfunction Method for Reconstruction of Large-Scale and High-Contrast Objects

  • Author

    Waag, Robert C. ; Lin, Feng ; Varslot, Trond K. ; Astheimer, Jeffrey P.

  • Author_Institution
    Univ. of Rochester, Rochester
  • Volume
    54
  • Issue
    7
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    1316
  • Lastpage
    1332
  • Abstract
    A multiple-frequency inverse scattering method that uses eigenfunctions of a scattering operator is extended to image large-scale and high-contrast objects. The extension uses an estimate of the scattering object to form the difference between the scattering by the object and the scattering by the estimate of the object. The scattering potential defined by this difference is expanded in a basis of products of acoustic fields. These fields are defined by eigenfunctions of the scattering operator associated with the estimate. In the case of scattering objects for which the estimate is radial, symmetries in the expressions used to reconstruct the scattering potential greatly reduce the amount of computation. The range of parameters over which the reconstruction method works well is illustrated using calculated scattering by different objects. The method is applied to experimental data from a 48-mm diameter scattering object with tissue-like properties. The image reconstructed from measurements has, relative to a conventional B-scan formed using a low f-number at the same center frequency, significantly higher resolution and less speckle, implying that small, high-contrast structures can be demonstrated clearly using the extended method.
  • Keywords
    biological tissues; biomedical ultrasonics; eigenvalues and eigenfunctions; image reconstruction; medical image processing; B-scan; eigenfunction; high-contrast objects; image reconstruction; large-scale objects; multiple-frequency inverse scattering method; tissue-like properties; Acoustic scattering; Eigenvalues and eigenfunctions; Frequency measurement; Image reconstruction; Image resolution; Inverse problems; Large-scale systems; Reconstruction algorithms; Scattering parameters; Speckle; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2007.392
  • Filename
    4277148