Cerebral Vessels Diagnostic Investigation: Vessel Classification from Medial Axis Evaluation

The present research work intends to examine the anatomical distribution of cerebral vessels, starting from the automatic processing of diagnostic image acquisition sequences, with the aim of identifying the characteristic parameters of their structural conformation, such as terminal points and bifurcations, and statistic connotations closely associated with the formation of pathological phenomena. To do this, a local connectivity investigation was used which, starting from the reconstruction of the central axis crossing the vessels, elaborates a process of sequential ordering of each section with the aim of investigating the spatial conformation of the vessels structure, identifying branches and regions of origin. The proposed algorithm also elaborates a punctual analysis of the vascular branches, giving rise to a three-dimensional reconstruction of the morphological and topological characterization of the vessels in support of the clinical examination. The aim is to provide a fast and accurate procedure capable of automatically interpreting diagnostic analyses of brain vessels to support clinical investigation.