无需专家标注，实时指导心脏超声探头位置调整
Echo-POSED: Geometric Self-Distillation for Echocardiography Guidance
- 利用3D超声切片自监督训练，学习探头姿态不变性
- 在患者内模拟中实现8.2度平均角度误差，保持几何一致性
- 适合超声医生快速上手，尤其适用于无标签数据场景
我们提出Echo-POSED，一种用于实时经胸超声（TTE）引导的自监督框架，可直接从2D超声图像推荐探头调整，无需专家标注视图或追踪探头轨迹。该方法基于常规获取的3D超声数据切片进行训练，强制对探头运动保持等变性，同时对心脏周期保持不变性，从而在SO(3)×SO(3)上构建姿态表示。在保留的测试集和公开外部3D-TTE数据集（包括不同厂商数据）上，Echo-POSED在虚拟扰动下维持几何一致性，并支持患者内与跨患者引导模拟，在含心脏运动的患者内模拟中实现了8.2度的联合平均角度误差。
原文摘要 · Abstract (English)
We introduce Echo-POSED, a self-supervised framework for real-time transthoracic echocardiography (TTE) guidance that recommends probe adjustments directly from 2D ultrasound images, without the need for expert-labelled views or tracked probe trajectories. Instead, it trains on 2D views sliced from routinely acquired 3D echocardiography volumes, enforcing equivariance to probe motions while remaining invariant to cardiac phase, yielding a pose representation on $\mathrm{SO}(3)\times\mathrm{SO}(3)$. Across a held-out split and public external 3D--TTE datasets (including vendor shift), Echo-POSED maintains geometric consistency under virtual perturbations and enables intra- and inter-patient guidance simulations, achieving a combined mean angular error of 8.2 degrees between the guided and target views in intra-patient simulations with cardiac motion.
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