Computational Decision Support for Percutaneous Aortic Valve Implantation

Valve replacement is the most common therapy for diseased aortic valves. Percutaneous approaches are becoming increasingly popular, due to reduced procedural complications and lower follow-up rates. Still there is a lack of efficient tools for valve quantification and preoperative simulation of replacement and repair procedures. Thus the success of the intervention relies to a large portion on experience and skills of the operator. In this paper we propose a novel framework for preoperative planning, intraoperative guidance and post-operative assessment of percutaneous aortic valve replacement procedures with stent mounted devices. A comprehensive model of the aortic valvular complex including aortic valve and aorta ascendens is estimated with fast and robust learning-based techniques from cardiac CT images. Consequently our model is used to perform a in-silico delivery of the valve implant based on deformable simplex meshes and geometrical constraints. The predictive power of the mod...

• Type: Journal
• Year: 2010
• Where: MIAR
• Authors: Ingmar Voigt, Razvan Ioan Ionasec, Bogdan Georgescu, Jan Boese, Gernot Brockmann, Joachim Hornegger, Dorin Comaniciu
• Keywords: Aortic Valve, Medical Imaging, MIAR 2010, Valve, Valve Replacement