Abstract
In this paper, we propose to estimate myocardial acceleration using a temporal diffeomorphic 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 echocardiographic 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%, part of error being due to the low temporal resolution of the images. The allure of the acceleration profile was reasonably preserved. The study 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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Pashaei, A., Piella, G., Duchateau, N., Gabrielli, L., Camara, O. (2014). Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2013. Lecture Notes in Computer Science, vol 8330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54268-8_31
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DOI: https://doi.org/10.1007/978-3-642-54268-8_31
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