Geometric characterization tool for aneurysms analysis
Aneurometry allows to automatically compute aneurysm morphology from surface models and to visualize in 3D an insight of the individual aneurysm geometry sac and provides 16 parameters, including size and neck diameter of the aneurysm.
Providing accurate morphometric information requires extensive knowledge and computational skills. Therefore, a mean to easily and accurately calculate such information is necessary to assess morphometrics in clinical settings.
Aneurometry could potentially lead to better management. Underestimation of aneurysm size can misguide clinical decisions and underestimation of aneurysm neck diameter could cause clinicians to improperly treat aneurysm
Aneurometry is a web-based application, clinician-oriented, for aneurysm morphology and risk and data management to aid in treatment decisions and treatment planning in or near the procedure room.
Aneurometry provides semi-automated computation of morphological indices  through the interactive specification of a neckline on a projection image and the selection of the main aneurysm.
Users can register for free into Aneurometry website and try it for a limited number of cases(10). Pay-per-use and flat subscriptions will be provided upon user request.
Aneurometry provides a dashboard with risk and data management of all morphological parameters history, giving the possibility to share the anonymized data with the community.
Intracranial aneurysms (IAs) occur in around 3% of the entire population. IA rupture is responsible for the most devastating type of hemorrhagic strokes, with high fatality and disability rates as well as healthcare costs. With increasing detection of unruptured aneurysms, clinicians are routinely faced with the dilemma whether to treat IA patients and how to best treat them. Hemodynamic and morphological characteristics are increasingly considered in aneurysm rupture risk assessment and treatment planning, but currently no computational tools allow routine integration of flow visualization and quantitation of these parameters in clinical workflow.
 Piccinelli, Marina & Steinman, David & Hoi, Yiemeng & Tong, Frank & Veneziani, Alessandro & Antiga, Luca. (2012). Automatic Neck Plane Detection and 3D Geometric Characterization of Aneurysmal Sacs. Annals of biomedical engineering. 40. 2188-211. 10.1007/s10439-012-0577-5.