title: Dynamic model-driven quantitative and visual evaluation of the aortic valve from 4D CT.
abstract: Aortic valve disease is an important cardio-vascular disorder, which affects 2.5% of the global population and often requires elaborate clinical management. Experts agree that visual and quantitative evaluation of the valve, crucial throughout the clinical workflow, is currently limited to 2D imaging which can potentially yield inaccurate measurements. In this paper, we propose a novel approach for morphological and functional quantification of the aortic valve based on a 4D model estimated from computed tomography data. A physiological model of the aortic valve, capable to express large shape variations, is generated using parametric splines together with anatomically-driven topological and geometrical constraints. Recent advances in discriminative learning and incremental searching methods allow rapid estimation of the model parameters from 4D Cardiac CT specifically for each patient. The proposed approach enables precise valve evaluation with model-based dynamic measurements and advanced visualization. Extensive experiments and initial clinical validation demonstrate the efficiency and accuracy of the proposed approach. To the best of our knowledge this is the first time such a patient specific 4D aortic valve model is proposed.
authors.affiliation: Integrated Data Systems, Siemens Corporate Research, Princeton, USA. razvan_ionasec.ext@siemens.com
authors.forename: Razvan Ioan
authors.initials: RI
authors.lastname: Ionasec
authors.forename: Bogdan
authors.initials: B
authors.lastname: Georgescu
authors.forename: Eva
authors.initials: E
authors.lastname: Gassner
authors.forename: Sebastian
authors.initials: S
authors.lastname: Vogt
authors.forename: Oliver
authors.initials: O
authors.lastname: Kutter
authors.forename: Michael
authors.initials: M
authors.lastname: Scheuering
authors.forename: Nassir
authors.initials: N
authors.lastname: Navab
authors.forename: Dorin
authors.initials: D
authors.lastname: Comaniciu
mesh_terms: D000465:Algorithms; D001021:Aortic Valve / Q000502:physiology*; D003196:Computer Graphics; D003198:Computer Simulation; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008955:Models, Cardiovascular; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014584:User-Computer Interface