• DocumentCode
    2423543
  • Title

    Estimating vascular volume fraction in a network of small blood vessels with high-frequency power Doppler ultrasound

  • Author

    Pinter, Stephen Z. ; Lacefield, James C.

  • Author_Institution
    Biomed. Eng. Grad. Program, Univ. of Western Ontario, London, ON, Canada
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    2268
  • Lastpage
    2271
  • Abstract
    Quantitative images of high-frequency (>20 MHz) power Doppler ultrasound can be difficult to obtain in the presence of flow artifacts due to power Doppler´s sensitivity to operator-dependent acquisition settings. To improve flow quantification, color pixel density (CPD) can be plotted as a function of wall filter cut-off velocity to produce a wall-filter selection curve that can be used to estimate vascular volume fraction by locating the plateau along the curve. The behavior of the wall-filter selection curve in a multiple-vessel region of interest is studied using a custom-designed multiple-vessel flow phantom. The flow phantom is capable of mimicking a range of blood vessel sizes (200-300 mum), blood flow velocities (1-10 mm/s), and blood vessel orientations (long-axis and transverse). At high flow rates, single-vessel wall-filter selection curves superimpose to produce a multiple-vessel curve where the CPD at the left-most plateau corresponds with the actual vascular volume fraction. However, interpretation of the multiple-vessel wall-filter selection curve is not straightforward when the flow rate in the vascular network is low.
  • Keywords
    Doppler measurement; biomedical ultrasonics; blood flow measurement; blood vessels; blood vessel; color pixel density; flow artifacts; flow quantification; high-frequency power Doppler ultrasound; multiple vessel flow phantom; operator-dependent acquisition setting; vascular volume fraction; wall filter cut-off velocity; wall-filter selection curve; Animals; Biomedical Engineering; Blood Flow Velocity; Blood Vessels; Blood Volume; Equipment Design; Humans; Image Processing, Computer-Assisted; Mice; Microvessels; Phantoms, Imaging; ROC Curve; Signal Processing, Computer-Assisted; Ultrasonography, Doppler, Color;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5335092
  • Filename
    5335092