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Communication Dans Un Congrès Année : 2013

Image-based estimation of myocardial acceleration using TDFFD: a phantom study

Résumé

In this paper, we propose to estimate myocardial acceleration using a temporal di↵eomorphic free-form deformation (TDFFD) algorithm. The use of TDFFD has the advantage of providing B-spline parameterized velocities, thus temporally smooth, which is an asset for the computation of acceleration. The method is tested on 3D+t echocar-diographic sequences from a realistic physical heart phantom, in which ground truth displacement is known in some regions. Peak endocardial acceleration (PEA) error was 20.4%, the main hypothesis for error being the low temporal resolution of the sequences. The allure of the acceleration profile was reasonably preserved. Our method suggests a non-invasive technique to measure cardiac acceleration that may be used to improve the monitoring of cardiac mechanics and consecutive therapy planning.
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Dates et versions

hal-02320194 , version 1 (18-10-2019)

Identifiants

Citer

Ali Pashaei, Gemma Piella, Nicolas Duchateau, Luigi Gabrielli, Oscar Camara. Image-based estimation of myocardial acceleration using TDFFD: a phantom study. Statistical Atlases and Computational Modeling of the Heart (STACOM 2013), 2013, Nagoya, Japan. pp.262-270, ⟨10.1007/978-3-642-54268-8_31⟩. ⟨hal-02320194⟩
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