基于对称性和旋转等变性，实现胎儿头位的高精度快速估计。
Equivariant symmetry-aware head pose estimation for fetal MRI
- 构建显式包含对称性和旋转等变性的新模型
- 在临床胎儿MRI数据上达到当前最佳准确率
- 适合需要自动切片规划的产前影像诊断场景
我们提出E(3)-Pose，一种新型快速姿态估计方法，联合且显式建模了旋转等变性与物体对称性。该工作源于诊断性胎儿MRI扫描中胎儿头部运动带来的挑战，旨在通过每2D切片前快速获取的低分辨率3D体积，实现6自由度头位估计以支持自动自适应切片规划。现有方法因固有解剖对称性导致的姿态模糊，以及低分辨率、噪声和伪影，在临床数据上泛化能力差。而E(3)-Pose通过构造方式捕捉解剖对称性与刚体姿态等变性，获得鲁棒的胎儿头位估计。在公开且具代表性的临床胎儿MRI数据集上的实验表明，该方法在跨域情况下表现出更优的鲁棒性与泛化能力。关键的是，E(3)-Pose在临床MRI体积上实现了当前最优精度，支持未来临床转化。代码已公开于github.com/MedicalVisionGroup/E3-Pose。
原文摘要 · Abstract (English)
We present E(3)-Pose, a novel fast pose estimation method that jointly and explicitly models rotation equivariance and object symmetry. Our work is motivated by the challenging problem of accounting for fetal head motion during a diagnostic MRI scan. We aim to enable automatic adaptive prescription of diagnostic 2D MRI slices with 6-DoF head pose estimation, supported by rapid low-resolution 3D MRI volumes acquired before each 2D slice. Existing pose estimation methods struggle to generalize to clinical volumes due to pose ambiguities induced by inherent anatomical symmetries, as well as low resolution, noise, and artifacts. In contrast, E(3)-Pose captures anatomical symmetries and rigid pose equivariance by construction, and yields robust estimates of the fetal head pose. Our experiments on publicly available and representative clinical fetal MRI datasets demonstrate the superior robustness and generalization of our method across domains. Crucially, E(3)-Pose achieves state-of-the-art accuracy on clinical MRI volumes, supporting future clinical translation. Our implementation is publicly available at github.com/MedicalVisionGroup/E3-Pose.
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