Abstract
We present an original Radial Basis Functions-based multiphase level set approach for the segmentation of cardiac structures in echocardiography. The method relies on two main contributions. We first describe a distribution allowing for the modeling of the radiofrequency signal for both blood and myocardial regions. We then formulate the problem of segmenting several cardiac regions in echocardiography using a Maximum Likelihood framework based on the proposed distribution. We minimize the resulting functional using a RBF-based multiphase level set model. Results obtained on both simulation and data acquired in vivo demonstrate the ability of our method to segment myocardial regions in echocardiography imaging.
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Bernard, O., Touil, B., Gelas, A., Prost, R., Friboulet, D. (2007). Segmentation of Myocardial Regions in Echocardiography Using the Statistics of the Radio-Frequency Signal. In: Sachse, F.B., Seemann, G. (eds) Functional Imaging and Modeling of the Heart. FIMH 2007. Lecture Notes in Computer Science, vol 4466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72907-5_44
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DOI: https://doi.org/10.1007/978-3-540-72907-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72906-8
Online ISBN: 978-3-540-72907-5
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