Abstract 424: Novel Computational Algorithm to Quantify Blood Flow and Vascular Resistance from Contrast Angiography with High Accuracy
OBJECTIVES: Contrast angiography can diagnose arterial occlusive disease but cannot provide hemodynamic data. Past work has attempted to calculate angiographic blood flow but clinical use has been limited by measurement error of >10%. Our hypothesis was that blood flow could be calculated from a contrast angiogram with <10% error through the application of a novel computational algorithm.
METHODS: A pulsatile, in vitro hemodynamic simulator with a light-based angiographic imaging system (InfiMed, Inc.) was used as the testing platform. Flow rates were varied through increases in outflow resistance and were directly measured with a Transonic flow meter (+/-4% error). An algorithm was designed to determine instantaneous flow from DICOM images using a combination of automatic vessel detection, segmentation, and time of flight bolus tracking. These calculated flow rates were compared to those directly measured.
RESULTS: The calculated flow rates (cc/min) were highly accurate when compared to those directly measured (4.1+/-3% error). Furthermore, time-density curves were accurate enough to detect relative changes in flow of 1.7 cc/sec reflecting changes in distal vascular resistance (Figure 1).
CONCLUSION: We conclude that using this approach, blood flow can be angiographically measured with increased accuracy relative to prior work. This may provide clinically reliable hemodynamic data to guide diagnostic and therapeutic interventions.
- © 2012 by American Heart Association, Inc.