• DocumentCode
    33949
  • Title

    TR-MUSIC inversion of the density and compressibility contrasts of point scatterers

  • Author

    Labyed, Y. ; Lianjie Huang

  • Author_Institution
    Los Alamos Nat. Lab., Los Alamos, NM, USA
  • Volume
    61
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan-14
  • Firstpage
    16
  • Lastpage
    24
  • Abstract
    Time-reversal imaging with multiple signal classification (TR-MUSIC) is a super-resolution ultrasound imaging method for detecting point scatterers. This algorithm assumes that there is no contrast between the density of the point targets and that of the background medium, and that ultrasound scattering is caused only by the compressibility contrast. We modify the TR-MUSIC algorithm to account for ultrasound scattering from point targets with both density and compressibility contrasts. In addition, we develop an inversion method for estimating the density and compressibility contrasts of point scatterers with known locations. This approach is an extension of the inversion method previously developed by Devaney et al. for estimating the scattering strengths of point targets that have no density contrasts relative to the background medium. We use numerical phantom data to demonstrate that our new TR-MUSIC inversion algorithm can reliably estimate the density and compressibility contrasts of point scatterers. The estimates of these properties could be used for distinguishing breast calcifications from other tissue scatterers.
  • Keywords
    density; ultrasonic imaging; ultrasonic scattering; TR-MUSIC inversion; breast calcifications; compressibility contrast; density contrast; multiple signal classification; point scatterer detection; superresolution ultrasound imaging; time reversal imaging; tissue scatterers; ultrasound scattering; Imaging; Matrix decomposition; Noise; Scattering; Transducers; Ultrasonic imaging; Vectors;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2014.6689772
  • Filename
    6689772