SB3C2016 Abstract Template

INTRODUCTION Quantifying the flow dynamics in cerebral aneurysms is important to understand the mechanisms responsible for aneurysm progression and rupture and develop improved aneurysm risk assessment procedures (diagnosis) as well as for understanding and evaluating endovascular interventions such as flow diversion (treatment). Many studies have used computational fluid dynamics (CFD) to model the flow in cerebral aneurysms to study rupture as well as flow diversion treatments. On the other hand, attempts at measuring the in vivo flow fields have been made with phase-contrast magnetic resonance as well as dynamic angiographic velocimetry [1]. The latter technique is attractive because it can be carried out during the angiographic evaluation of the aneurysm or during its endovascular treatment. Previous studies have shown the potential clinical value of the angiography-based flow quantification and have compared the results to Doppler ultrasound and synthetic angiograms generated from CFD simulations [2, 3]. The purpose of our study was to further evaluate the angiography-based flow field quantification by comparing against patient-specific CFD models with angiographic aneurysm patient data.