Share Email Print

Proceedings Paper

Shape-based diagnosis of the aortic valve
Author(s): Razvan Ioan Ionasec; Alexey Tsymbal; Dime Vitanovski; Bogdan Georgescu; S. Kevin Zhou; Nassir Navab; Dorin Comaniciu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Disorders of the aortic valve represent a common cardiovascular disease and an important public-health problem worldwide. Pathological valves are currently determined from 2D images through elaborate qualitative evalu- ations and complex measurements, potentially inaccurate and tedious to acquire. This paper presents a novel diagnostic method, which identies diseased valves based on 3D geometrical models constructed from volumetric data. A parametric model, which includes relevant anatomic landmarks as well as the aortic root and lea ets, represents the morphology of the aortic valve. Recently developed robust segmentation methods are applied to estimate the patient specic model parameters from end-diastolic cardiac CT volumes. A discriminative distance function, learned from equivalence constraints in the product space of shape coordinates, determines the corresponding pathology class based on the shape information encoded by the model. Experiments on a heterogeneous set of 63 patients aected by various diseases demonstrated the performance of our method with 94% correctly classied valves.

Paper Details

Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725908 (27 March 2009); doi: 10.1117/12.812488
Show Author Affiliations
Razvan Ioan Ionasec, Siemens Corporate Research (United States)
Technical Univ. Munich (Germany)
Alexey Tsymbal, Siemens Corporate Technology (Germany)
Dime Vitanovski, Siemens Corporate Research (United States)
Bogdan Georgescu, Siemens Corporate Research (United States)
S. Kevin Zhou, Siemens Corporate Research (United States)
Nassir Navab, Technical Univ. Munich (Germany)
Dorin Comaniciu, Siemens Corporate Research (United States)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

© SPIE. Terms of Use
Back to Top