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Proceedings Paper

Image based cardiac acceleration map using statistical shape and 3D+t myocardial tracking models; in-vitro study on heart phantom
Author(s): Ali Pashaei; Gemma Piella; Xavier Planes; Nicolas Duchateau; Teresa María de Caralt; Marta Sitges; Alejandro F. Frangi
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Paper Abstract

It has been demonstrated that the acceleration signal has potential to monitor heart function and adaptively optimize Cardiac Resynchronization Therapy (CRT) systems. In this paper, we propose a non-invasive method for computing myocardial acceleration from 3D echocardiographic sequences. Displacement of the myocardium was estimated using a two-step approach: (1) 3D automatic segmentation of the myocardium at end-diastole using 3D Active Shape Models (ASM); (2) propagation of this segmentation along the sequence using non-rigid 3D+t image registration (temporal di eomorphic free-form-deformation, TDFFD). Acceleration was obtained locally at each point of the myocardium from local displacement. The framework has been tested on images from a realistic physical heart phantom (DHP-01, Shelley Medical Imaging Technologies, London, ON, CA) in which the displacement of some control regions was known. Good correlation has been demonstrated between the estimated displacement function from the algorithms and the phantom setup. Due to the limited temporal resolution, the acceleration signals are sparse and highly noisy. The study suggests a non-invasive technique to measure the cardiac acceleration that may be used to improve the monitoring of cardiac mechanics and optimization of CRT.

Paper Details

Date Published: 12 March 2013
PDF: 8 pages
Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86710U (12 March 2013); doi: 10.1117/12.2008068
Show Author Affiliations
Ali Pashaei, Univ. Pompeu Fabra (Spain)
Gemma Piella, Univ. Pompeu Fabra (Spain)
Xavier Planes, Univ. Pompeu Fabra (Spain)
Nicolas Duchateau, Univ. de Barcelona (Spain)
Teresa María de Caralt, Univ. de Barcelona (Spain)
Marta Sitges, Univ. de Barcelona (Spain)
Alejandro F. Frangi, Univ. of Sheffield (United Kingdom)


Published in SPIE Proceedings Vol. 8671:
Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes; Ziv R. Yaniv, Editor(s)

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