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Proceedings Paper

Four-dimensional Doppler ultrasound measurements in carotid bifurcation models: effect of concentric versus eccentric stenosis
Author(s): Tamie L. Poepping; Richard N. Rankin M.D.; David W. Holdsworth
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Paper Abstract

A unique in-vitro system has been developed that incorporates both realistic phantoms and flow. The anthropomorphic carotid phantoms are fabricated in agar with stenosis severity of 30% or 70% (by NASCET standards) and one of two geometric configurations- concentric or eccentric. The phantoms are perfused with a flow waveform that simulates normal common carotid flow. Pulsed Doppler ultrasound data are acquired at a 1 mm grid spacing throughout the lumen of the carotid bifurcation. To obtain a half-lumen volume, symmetric about the mid plane, requires a 13 hour acquisition over 3238 interrogation sites, producing 5.6 Gbytes of data. The spectral analysis produces estimates of parameters such as the peak velocity, mean velocity, spectral-broadening index, and turbulence intensity. Color-encoded or grayscale-encoded maps of these spectral parameters show distinctly different flow patterns resulting from stenoses of equal severity but different eccentricity. The most noticeable differences are seen in the volumes of the recirculation zones and the paths of the high-velocity jets. Elevated levels of turbulence intensity are also seen distal to the stenosis in the 70%-stenosed models.

Paper Details

Date Published: 30 May 2001
PDF: 9 pages
Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); doi: 10.1117/12.428206
Show Author Affiliations
Tamie L. Poepping, John P. Robarts Research Institute and Univ. of Western Ontario (Canada)
Richard N. Rankin M.D., John P. Robarts Research Institute, Univ. of Western Ontario, and London Health Science (Canada)
David W. Holdsworth, John P. Robarts Research Institute, Univ. of Western Ontario, and London Health Science (Canada)

Published in SPIE Proceedings Vol. 4325:
Medical Imaging 2001: Ultrasonic Imaging and Signal Processing
Michael F. Insana; K. Kirk Shung, Editor(s)

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