are essential for clarifying the hemodynamics of brain aneurysms. Since cerebrovascular
disease is often fatal, it is strongly desirable to predict its progression. While
previous studies have clarified the initiation mechanism of aneurysms, their growth
mechanism remains unclear. Consequently, it is difficult to develop a diagnostic
system for predicting aneurysm rupture. This study seeks to clarify the mechanism
of aneurysm growth by identifying significant hydrodynamic factors. We focus on
a single ruptured aneurysm that was followed up for five years. Computer simulations
and fluid dynamic experiments with silicone vessel models were performed. To confirm
the reliability of data in the computer simulations, we conducted particle image
velocimetry measurements in steady flow. We then performed computer simulations
for pulsatile conditions to determine an effective index for aneurysm growth.
We obtained good agreement between the trends in the obtained computer simulation
and experimental data. Numerical simulations for pulsatile flow in three models
revealed that aneurysms grew in regions having a low wall shear stress, a low aneurysm
formation indicator, and a high oscillatory shear index.
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