Aneurysm rupture risk is incredibly difficult to predict. Many risk factors have been identified already, but the impact of hemodynamics on aneurysm rupture risk remains unclear. Computational fluid dynamics (CFD) is a virtual technique that enables researchers to simulate blood flow patterns in vessels, and even in small intracranial aneurysms. In the field of CFD, the single most important factor influencing the results is the vascular geometry. This vascular geometry is generally derived from clinically used angiographic imaging, and due to varying quality and detail of the available modalities, the accuracy of the vascular geometry also varies greatly. We have always tried to use the best available aneurysm geometries for CFD, which in practice meant that only cases that had a 3D rotational angiography (3DRA) of the specific arterial segment could be included.
During the earlier pilot phases of our larger cohort study, we found a discrepancy between the 2D digital subtraction angiography and the corresponding 3DRA. Inherent to the acquisition technique and reconstruction algorithm of 3DRA, there is a blooming effect (or smudging) of high-density structures if they are in close proximity to each other. In