用稀疏标注实现超声心动图中二尖瓣环的时序稳定定位
Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos
- 引入自监督时序一致性损失，平滑关键点轨迹
- MAPSE误差仅1.81±0.14mm，关键点定位误差2.48±0.07mm
- 适合临床超声视频分析，尤其标注成本高的场景
本文提出一种基于稀疏标注的超声心动图视频中二尖瓣环关键点时序一致定位新方法。通过引入自监督时序一致性损失，约束相邻帧间关键点位置变化，有效平滑轨迹并提升测量精度。同时采用真实视野范围的增强策略，提升对缺失解剖结构的识别能力。在公开与私有数据集上评估，显著改善了二尖瓣环平面收缩运动距离（MAPSE）计算与整体跟踪稳定性。方法实现均值绝对MAPSE误差1.81±0.14 mm，环周大小误差2.46±0.31 mm，关键点定位误差2.48±0.07 mm，且缺失结构识别的ROC-AUC达0.99。
原文摘要 · Abstract (English)
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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