3D Bifurcations characterization for intra-cranial aneurysms prediction

摘要

An aneurysm is a vascular disorder represented by a ballooning of a blood vessel. The blood vessel's wall isdistorted by the blood ow, and a bulge forms there. When ruptured, the aneurysm may cause irreversibledamage and could even lead to premature death. Intra-cranial aneurysms are the ones presenting the higherrisks. In this work, thanks to a graph based approach, we detect the bifurcations located on the circle of Williswithin brain mice cerebral vasculature. Once properly located in the 3D stack, we characterize the cerebralarteries bifurcations, i.e. we gather several properties of the bifurcation, such as their angles, or area crosssection, in order to further estimate geometrical patterns that can favor the risk of occurrence of an intra-cranialaneurysm. Effectively, apart from genetic predisposition, and environmental risk factors (high blood pressure,smoking habits, ...) the anatomical disposition of the brain vasculature may inuence the chances of an aneurysmto form. Our objectives in this paper is to obtain accurate measurements on the 3D bifurcations.