arXiv · 2503.12087
Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos
Abstract
This work presents a novel approach to achieving temporally consistent mitral annulus landmark localization in echocardiography videos using sparse annotations. Our method introduces a self-supervised loss term that enforces temporal consistency between neighboring frames, which smooths the position of landmarks and enhances measurement accuracy over time. Additionally, we incorporate realistic field-of-view augmentations to improve the recognition of missing anatomical landmarks. We evaluate our approach on both a public and private dataset, and demonstrate significant improvements in Mitral Annular Plane Systolic Excursion (MAPSE) calculations and overall landmark tracking stability. The method achieves a mean absolute MAPSE error of 1.81 $\pm$ 0.14 mm, an annulus size error of 2.46 $\pm$ 0.31 mm, and a landmark localization error of 2.48 $\pm$ 0.07 mm. Finally, it achieves a 0.99 ROC-AUC for recognition of missing landmarks.
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Gino E. Jansen, Mark J. Schuuring, Berto J. Bouma, Ivana Išgum. 2025-03-15. Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos. https://doi.org/10.1117/12.3046086
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