Abstract
We propose a semi-automatic endocardial border detection method for 3D+T cardiac ultrasound data based on pattern matching and dynamic programming, operating on 2D slices of the 3D+T data, for the estimation of LV volume, with minimal user interaction. It shows good correlations with MRI ED and ES volumes (r=0.938) and low interobserver variability (y=1.005x-16.7, r=0.943) over full-cycle volume estimations. It shows a high consistency in tracking the user-defined initial borders over space and time. © Springer-Verlag Berlin Heidelberg 2004.
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CITATION STYLE
Van Stralen, M., Bosch, J. G., Voormolen, M. M., Van Burken, G., Krenning, B. J., Lancée, C. T., … Reiber, J. H. C. (2004). A semi-automatic endocardial border detection method for 4D ultrasound data. In Lecture Notes in Computer Science (Vol. 3216, pp. 43–50). Springer Verlag. https://doi.org/10.1007/978-3-540-30135-6_6
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