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
Link To Document :
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