Three-dimensional morphological analysis of intracranial aneurysms: a fully automated method for aneurysm sac isolation and quantification

Morphological descriptors are practical and essential biomarkers for diagnosis andtreatment selection for intracranial aneurysm management according to the current guidelinesin use. Nevertheless, relatively little work has been dedicated to improve the three-dimensionalquanti cation of aneurysmal morphology, automate the analysis, and hence reduce the inherentintra- and inter-observer variability of manual analysis. In this paper we propose a methodologyfor the automated isolation and morphological quanti cation of saccular intracranial aneurysmsbased on a 3D representation of the vascular anatomy.

This work was partially supported within the CENIT-CDTEAM and CENIT cvREMOD projects funded by the Spanish Ministry of Innovation and Science-CDTI and partly within the framework of the @neurIST Project (IST-2005-027703), which is co- nanced by the European Commission within the IST Program of the Sixth Framework Programm.