In vitro flow quantification with contrast power Doppler imaging.
To evaluate the effectiveness of contrast harmonic (power Doppler imaging) as an ultrasonic modality to quantify flow, an in vitro model of perfusion was studied using Optison, a second-generation ultrasound (US) contrast agent. The in vitro model was made of two dialysis cartridges placed parallel and allowed absolute and relative flow quantification on both tube (entry lines) and tissue (cartridges) simulations. Video intensity curves were generated using intermittent harmonic power Doppler imaging after bolus injection of contrast. Correlation between flow and different parameters extracted from time-intensity curves and previously defined as indicators of flow was established for both tissue and entry lines, for flow rates ranging from 0 to 400 mL/min. Single-compartment equations were also tested on the model. A good correlation for the tissue model was observed between absolute flow and onset time (O), time to maximal enhancement (TME), peak intensity (P), area under the curve (AUC), and maximal ascending slope (S) parameters, with a r = 0.94, 0.94, 0.91, 0.92 and 0.92, respectively. The correlation for O, TME, P and AUC parameters was r = 0.86, 0.90, 0.78 and 0.82, respectively for entry lines. The correlation for tissue model and entry line was slightly improved when comparing flow ratios with peak ratios (P1/P2) and slope ratios (S1/S2) (r = 0.95 and 0.94). Flow calculation using the gradient-relationship method also showed a good correlation (r = 0.88) with the experimental flow. The results obtained indicated that absolute and relative quantification of flow using PDI is feasible in tube and tissue models. Several clinical applications, namely in myocardial, hepatic and renal artery studies, could be derived from these results.
Ugolini
P
P
INSERM U494 and Department of Cardiology, Hopital Broussais, Paris, France.
Delouche
A
A
Herment
A
A
Diebold
B
B
D000418:Albumins; D019540:Area Under Curve; D003287:Contrast Media; D004867:Equipment Design; D005466:Fluorocarbons; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008961:Models, Structural; D010477:Perfusion; D012212:Rheology; D018608:Ultrasonography, Doppler
D000418:Albumins; D003287:Contrast Media; C099458:FS 069; D005466:Fluorocarbons