Abstract
The quantitative description of the cardiac motion is an important task for the assessment of the viability in the heart wall. Abnormalities in heart motion can eventually lead to life threatening cardiac injuries therefore measurements of dynamic heart functions are of great clinical importance. In this work we present a method for estimating heart motion from 4D (3D+time) echocardiographic images. Our approach involves non-linear 4D anisotropic diffusion filtering of the data, non-rigid registration of time sequence, noise removal by time averaging, shape and texture based segmentation and finally the reconstruction of the dynamic 3D model of the heart. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Chlebiej, M., Nowiński, K., Ścisło, P., & Bała, P. (2007). Reconstruction of heart motion from 4D echocardiographic images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4673 LNCS, pp. 245–252). Springer Verlag. https://doi.org/10.1007/978-3-540-74272-2_31
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