The Correlation-Based Algorithm to Perfusion Assessment in Ultrasound Image

A high frequency contrast-assisted destruction/reperfusion imaging system has been developed to improve image resolution in previous study. Our goal in this work is to build a fast and robust algorithm to evaluate volumetric microcirculation blood flow. The microcirculation flow rate is determined by the multiplication of perfusion area and corresponding blood flow velocity mapping. The blood flow velocity can be estimated from B-mode time-intensity curves (TICs). Two new methods, correlation-based approach (CBA) and sum-absolute-difference approach (SADA), are proposed to locate and assess perfusion area. In vitro experiments were introduced to test the performance of two approaches. The results indicate a good correlation between the actual flow rate and the estimated volumetric flow rate. Potential applications of this blood flow estimation method include high-resolution flow assessment in small animal tumor and glaucoma models and the evaluation of superficial vasculature in clinical studies