• DocumentCode
    1361055
  • Title

    Computational models of distributed aberration in ultrasound breast imaging

  • Author

    Shen, Yi-Ting ; Daoud, Mohammad I. ; Lacefield, James C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
  • Volume
    57
  • Issue
    12
  • fYear
    2010
  • fDate
    12/1/2010 12:00:00 AM
  • Firstpage
    2627
  • Lastpage
    2636
  • Abstract
    Two methods for simulation of ultrasound wavefront distortion are introduced and compared with aberration produced in simulations using digitized breast tissue specimens and a conventional multiple time-shift screen model. In the first method, aberrators are generated using a computational model of breast anatomy. In the second method, 10 to 12 irregularly shaped, strongly scattering inclusions are superimposed on the multiple-screen model to create a screen-inclusion model. Linear 2-D propagation of a 7.5-MHz planar, pulsed wavefront through each aberrator is computed using a first-order k-space method. The anatomical and screen-inclusion models reproduce two characteristics of arrival-time fluctuations observed in simulations using the digitized specimens that are not represented in simulations using the multiple-screen model: non-Gaussian first-order statistics and sharp changes in the rms arrival-time fluctuation as a function of propagation distance. The anatomical and screen-inclusion models both produce energy- level fluctuations similar to the digitized specimens, but the anatomical model more closely matches the pulse-shape distortion produced by the specimens. Both aberration models can readily be extended to 3-D, and the screen-inclusion model has the advantage of simplicity of implementation. Both models should enable more rigorous evaluation of adaptive focusing algorithms than is possible using conventional time-shift screen models.
  • Keywords
    aberrations; biological organs; biological tissues; biomedical ultrasonics; gynaecology; physiological models; statistical analysis; ultrasonic imaging; breast anatomy; digitized breast tissue specimens; distributed aberration; first-order k-space method; frequency 7.5 MHz; linear 2D propagation; multiple time-shift screen model; multiple-screen model; non-Gaussian first-order statistics; screen-inclusion model; ultrasound breast imaging; ultrasound wavefront distortion; Acoustics; Adaptation model; Biomedical image processing; Breast tissue; Computational modeling; Fluctuations; Ultrasonic imaging; Algorithms; Analysis of Variance; Breast; Computer Simulation; Female; Humans; Image Processing, Computer-Assisted; Models, Anatomic; Models, Biological; Statistics, Nonparametric; Ultrasonography, Mammary;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2010.1737
  • Filename
    5610549