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Proceedings Paper

Model-driven physiological assessment of the mitral valve from 4D TEE
Author(s): Ingmar Voigt; Razvan Ioan Ionasec; Bogdan Georgescu; Helene Houle; Martin Huber; Joachim Hornegger; Dorin Comaniciu
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Paper Abstract

Disorders of the mitral valve are second most frequent, cumulating 14 percent of total number of deaths caused by Valvular Heart Disease each year in the United States and require elaborate clinical management. Visual and quantitative evaluation of the valve is an important step in the clinical workflow according to experts as knowledge about mitral morphology and dynamics is crucial for interventional planning. Traditionally this involves examination and metric analysis of 2D images comprising potential errors being intrinsic to the method. Recent commercial solutions are limited to specific anatomic components, pathologies and a single phase of cardiac 4D acquisitions only. This paper introduces a novel approach for morphological and functional quantification of the mitral valve based on a 4D model estimated from ultrasound data. A physiological model of the mitral valve, covering the complete anatomy and eventual shape variations, is generated utilizing parametric spline surfaces constrained by topological and geometrical prior knowledge. The 4D model's parameters are estimated for each patient using the latest discriminative learning and incremental searching techniques. Precise evaluation of the anatomy using model-based dynamic measurements and advanced visualization are enabled through the proposed approach in a reliable, repeatable and reproducible manner. The efficiency and accuracy of the method is demonstrated through experiments and an initial validation based on clinical research results. To the best of our knowledge this is the first time such a patient specific 4D mitral valve model is proposed, covering all of the relevant anatomies and enabling to model the common pathologies at once.

Paper Details

Date Published: 13 March 2009
PDF: 11 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72610R (13 March 2009); doi: 10.1117/12.812096
Show Author Affiliations
Ingmar Voigt, Siemens Corporate Technology (Germany)
Friedrick-Alexander-Univ. (Germany)
Razvan Ioan Ionasec, Siemens Corporate Research (United States)
Technical Univ. Munich (Germany)
Bogdan Georgescu, Siemens Corporate Research (United States)
Helene Houle, Siemens Medical Solutions (United States)
Martin Huber, Siemens Corporate Technology (Germany)
Joachim Hornegger, Friedrich-Alexander-Univ. (Germany)
Dorin Comaniciu, Siemens Corporate Research (United States)

Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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