Abstract
Hemodynamic researches about cerebral aneurysm have been widely performed to estimate or predict the danger of aneurysm growth and rupture in patients. In this study, we developed an automated in vitro measurement system of flow fields in the aneurysm models based on the scanning stereoscopic particle image velocimetry. The method of vessel wall estimation by using the PIV data, which is quite essential to carry out a hemodynamic evaluation, was investigated; extrapolation of velocity-gradient and image superposition were tested. As a result, the accurate estimation about the vessel wall from superimposed images became possible, and it is expected that more accurate hemodynamic evaluation can be achieved to clarify the mechanism of aneurysm growth and rupture in future.
