Abstract
Particle image velocimetry (PIV) is a quantitative method of measuring velocity fields instantaneously in experimental fluid mechanics. In order to improve the dynamic range, resolution and accuracy, the authors has proposed a new high-resolution PIV technique based on iterative cross-correlation and gradient method. The proposed method has the error of the order of 0.01 pixels.In this paper, the proposed method is applied to visualized images of the arteriole in the rat mesentery using the intravital-microscope and the high-speed digital video system. Time-series of the velocity profiles of the arteriole was obtained. Averaged velocity profiles shows the blood flow volume were constant at five vessel cross-sections. The arteriole velocity profile was blunt at center region of the vessel cross-section and sharp profiles at near wall region, this suggests the shear stress on the vessel wall is higher than expected. The results show that the proposed method is very useful to measure the blood flow velocity profiles with high accurate, temporal and spatial resolution.
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