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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Razvan Ioan Ionasec, A. Tsymbal, D. Vitanovski, B. Georgescu, K. Zhou, N. Navab, D. Comaniciu
Shape-based diagnosis of the aortic VALVE
SPIE Medical Imaging, 2009, Orlando, USA, February 2009 (bib)

Disorders of the aortic valve represent a common cardiovascular disease and an important public-health problem. Pathological valves are currently determined from 2D images through elaborate qualitative evaluations and complex measurements, potentially inaccurate and tedious to acquire. This paper presents a novel diagnosis method, which identifies diseased valves based on 3D geometrical models constructed from volumetric data. Robust segmentation is applied to estimate the patient specific model from CT volumes. A learned discriminative distance function determines the corresponding pathology class based on the shape information. Experiments on 63 patients affected by various diseases demonstrated an accuracy of 94% correctly classified valves.
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