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.
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Chlebiej, M., Nowiński, K., Ścisło, P., Bała, P. (2007). Reconstruction of Heart Motion from 4D Echocardiographic Images. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_31
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DOI: https://doi.org/10.1007/978-3-540-74272-2_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74271-5
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