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

THIS WEBPAGE IS DEPRECATED - please visit our new website

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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 30 Jan 2019 - 15:16 - LeslieCasas

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif