Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917252916314112 |
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| author | Jansen, Gino E. Schuuring, Mark J. Bouma, Berto J. Išgum, Ivana |
| author_facet | Jansen, Gino E. Schuuring, Mark J. Bouma, Berto J. Išgum, Ivana |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_12087 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos Jansen, Gino E. Schuuring, Mark J. Bouma, Berto J. Išgum, Ivana Computer Vision and Pattern Recognition 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. |
| title | Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2503.12087 |