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Proceedings Paper

Aortic valve and ascending aortic root modeling from 3D and 3D+t CT
Author(s): Saša Grbic; Razvan Ioan Ionasec; Dominik Zäuner; Yefeng Zheng; Bogdan Georgescu; Dorin Comaniciu
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Paper Abstract

Aortic valve disorders are the most frequent form of valvular heart disorders (VHD) affecting nearly 3% of the global population. A large fraction among them are aortic root diseases, such as aortic root aneurysm, often requiring surgical procedures (valve-sparing) as a treatment. Visual non-invasive assessment techniques could assist during pre-selection of adequate patients, planning procedures and afterward evaluation of the same. However state of the art approaches try to model a rather short part of the aortic root, insufficient to assist the physician during intervention planning. In this paper we propose a novel approach for morphological and functional quantification of both the aortic valve and the ascending aortic root. A novel physiological shape model is introduced, consisting of the aortic valve root, leaflets and the ascending aortic root. The model parameters are hierarchically estimated using robust and fast learning-based methods. Experiments performed on 63 CT sequences (630 Volumes) and 20 single phase CT volumes demonstrated an accuracy of 1.45mm and an performance of 30 seconds (3D+t) for this approach. To the best of our knowledge this is the first time a complete model of the aortic valve (including leaflets) and the ascending aortic root, estimated from CT, has been proposed.

Paper Details

Date Published: 23 February 2010
PDF: 8 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76250H (23 February 2010); doi: 10.1117/12.844566
Show Author Affiliations
Saša Grbic, Siemens Corporate Research (United States)
Razvan Ioan Ionasec, Siemens Corporate Research (United States)
Dominik Zäuner, Siemens Corporate Research (United States)
Yefeng Zheng, Siemens Corporate Research (United States)
Bogdan Georgescu, Siemens Corporate Research (United States)
Dorin Comaniciu, Siemens Corporate Research (United States)


Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

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