Abstract
The coaptation zone is the part of the two mitral valve leaflets that collide during the cardiac cycle. It is an important parameter for the valve’s function and closing capability, but difficult to assess. In this work, we present an automatic approach for leaflet segmentation from 4D ultrasound images, which incorporates steps for coaptation zone modelling and allows determining the coaptation zone from the resulting leaflet surface. The method segments the leaflets over the whole cardiac cycle given a previously segmented annulus model. To provide a meaningful analysis of the coaptation line assessment, the mean error between ground truth model and segmented model has been computed for each leaflet separately. For the anterior leaflet, we achieved a mean error of \(1.16 \pm 0.38\) mm and \(1.24 \pm 0.37\) mm for the posterior leaflet, respectively.
S. Engelhardt and N. Lichtenberg—These authors contributed equally to this work.
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Acknowlegdements
This research received support from the German Research Foundation (DFG), grant ME 833/12-2, SI 1349/1-2 and by the Collaborative Research Centre SFB/TRR 125 Cognition Guided Surgery within project B01.
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Engelhardt, S. et al. (2015). Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_16
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DOI: https://doi.org/10.1007/978-3-319-20309-6_16
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