• DocumentCode
    1174774
  • Title

    The acoustic field in biomedical tissue with midscale inhomogeneities

  • Author

    Thompson, Rosemary S. ; Macaskill, Charlie ; Padden, Whayne

  • Author_Institution
    Sch. of Math. & Stat., Univ. of Sydney, Sydney, NSW
  • Volume
    56
  • Issue
    2
  • fYear
    2009
  • fDate
    2/1/2009 12:00:00 AM
  • Firstpage
    304
  • Lastpage
    313
  • Abstract
    Biomedical ultrasound is often used for investigations within and close to tissue inhomogeneities, such as lesions and plaques, that are midsized compared with the ultrasound wavelength. The scaled wavenumber is typically in the range 1 to 100. Even with small (less than 10%) sound speed variations, such objects are associated with very complicated diffractive field magnitude modulations. The corresponding phase modulations are much more regular, and this observation is the basis for the method described in this paper. The acoustic field can be expressed in terms of a scattering integral. For biomedical parameters, calculations with the widely used Born approximation give accurate results in only very limited circumstances. In this paper we demonstrate the importance of the initial phase estimate, and introduce the phase corrected scattering integral (PCSI) method. We show that remarkably accurate results for the acoustic field can be obtained from a single evaluation of the scattering integral if this incorporates an initial estimate of the phase modulation imposed by the inhomogeneity. A simple ray model can be used to find the phase correction. The PCSI method deals very effectively with scattering due to small changes in sound speed and irregular geometry, both characteristic of biomedical problems.
  • Keywords
    acoustic field; bioacoustics; biological tissues; biomedical ultrasonics; phase estimation; phase modulation; ultrasonic scattering; Born approximation; PCSI; acoustic field; biomedical tissue; biomedical ultrasound; diffractive field magnitude modulation; phase corrected scattering integral method; phase estimation; phase modulation; simple-ray model; sound speed variation; tissue midscale inhomogeneities; Acoustic scattering; Acoustic waves; Approximation methods; Biological tissues; Biomedical acoustics; Fluctuations; Phase estimation; Phase modulation; Surface treatment; Ultrasonic imaging; Acoustics; Algorithms; Models, Theoretical; Ultrasonography;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2009.1039
  • Filename
    4787182