Abstract
We propose a new method to study the effectiveness of hemodynamic factors to determine artery shape. At first, multi-objective optimization that set five kinds of determinant factors as objectives was performed to obtain optimized shapes on the basis of seven actual carotid artery bifurcation shapes using computational fluid dynamics and genetic algorithms. Those factors are a) maximum Wall Shear Stress (WSS), b) minimum WSS, c) WSS gradient, d) WSS temporary gradient and e) integration of artery radius. Then, the optimized shapes were checked if they include the original one or not. After all optimizations, the most matched factors were selected. As a result, in the case of minimizing both maximum WSS and integration of artery radius, all 7 original shapes were included in the optimized ones. This combination was the best in six tested combinations. It became clear this combination plays the most important role than the other tested combinations. We confirmed our method is very useful to examine effectiveness of unknown biological adaptation.
