Abstract
The hydrodynamics of aneurysm blood flow is thought to be a critical factor in the evolution and potential rupture of blood vessel walls. The ability to predict which aneurysms may grow or rupture has eluded researchers and practicing clinicians. On the other hand, it is expected that local flow patterns, pressures, and wall shear stress play a role in the aneurysm life. In this study, the impact of waveform on these parameters was studied. A baseline waveform, taken from a patient, was applied to an aneurysm geometry. Then the waveform was modified by increasing and decreasing both the flowrates and the cardiac rate. In total, seven cases were investigated. It was found that there were remarkable similarities in the patterns of flow and wall stresses for the cases. These similarities existed throughout the cardiac cycle. It was also found that there was a reduced pressure variable that provides a universal relationship that characterizes all of the cases. It was seen that the maximum wall shear occurs at the neck of the aneurysm and scales with the peak systolic velocity. Finally, it is shown that the flow distribution to the multiple outlets does not appreciably depend on the details of the inlet waveform. All cases had a flow distribution that was within 2%.
Highlights
An aneurysm, which is a weakening in the wall of an artery that leads to extensive deformation of the flow passage, can be a significant health risk if it ruptures
The hydrodynamics of aneurysm blood flow is thought to be a critical factor in the evolution and potential rupture of blood vessel walls
It is expected that local flow patterns, pressures, and wall shear stress play a role in the aneurysm life
Summary
An aneurysm, which is a weakening in the wall of an artery that leads to extensive deformation of the flow passage, can be a significant health risk if it ruptures. Over the past few years, the focus has moved toward patient-specific modeling with a goal of identifying those features of the flow that are predictive of aneurysm growth and rupture. Patient waveforms may differ in flow rate or the frequency of pulsation. Patients may have rapid or slow heartbeats or they may have high or low flowrates. It is the intent of this study to evaluate the impact of these parameters. The simulation used inputs from seven different waveform types. Simulations were performed and results presented for each of the cases in later portions of this report
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