A data-driven approach for addressing the lack of flow waveform data in studies of cerebral arterial flow in older adults.

Objective: Blood flow waveforms-essential data for hemodynamic modeling-are often in practice unavailable to researchers. The objectives of this work were to assess the variability among the waveforms for a clinically relevant older population, and develop data-based methods for addressing the missing waveform data for hemodynamic studies.

Approach: We analyzed 272 flow waveforms from the internal carotid arteries of older patients (73  ±  13 yr) with moderate cardiovascular disease, and used these data to develop methods to guide new approaches for hemodynamic studies.

Can aspect ratio be used to categorize intra-aneurysmal hemodynamics?--A study of elastase induced aneurysms in rabbit.

Clinical studies suggest that aneurysm aspect ratio (AR) is an important indicator of rupture likelihood. The importance of AR is hypothesized to arise from its influence on intra-aneurysmal hemodynamics. It has been conjectured that slower flow in high AR sacs leads to a cascade of biological activities that weaken the aneurysm wall (Ujiie et al.

Sensitivity of CFD based hemodynamic results in rabbit aneurysm models to idealizations in surrounding vasculature.

Computational fluid dynamics (CFD) studies provide a valuable tool for evaluating the role of hemodynamics in vascular diseases such as cerebral aneurysms and atherosclerosis. However, such models necessarily only include isolated segments of the vasculature. In this work, we evaluate the influence of geometric approximations in vascular anatomy on hemodynamics in elastase induced saccular aneurysms in rabbits.