2D+T acoustic boundary detection in echocardiography

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Abstract

In this paper we address the problem of spatio-temporal acoustic boundary detection in echocardiography. We propose a phase-based feature detection method to be used as the front end to higher-level 2D+T/3D+T reconstruction algorithms. We develop a 2D+T version of this algorithm and illustrate its performance on some typical echocardiogram sequences. We show how our temporal-based algorithm helps to reduce the number of spurious feature responses due to speckle and provides feature velocity estimates. Further, our approach is intensity-amplitude invariant. This makes it particularly attractive for echocar-diographic segmentation, where choosing a single global intensity-based edge threshold is problematic.

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Mulet-Parada, M., & Noble, J. A. (1998). 2D+T acoustic boundary detection in echocardiography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1496, pp. 807–813). Springer Verlag. https://doi.org/10.1007/bfb0056268

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