通过双视角C臂影像与CAD模型匹配螺钉，实现精准定位。
Pedicle Screw Pairing and Registration for Screw Pose Estimation from Dual C-arm Images Using CAD Models
- 用2D-3D配准结合螺钉组合比对，提升配对准确率。
- 正确配对组合在所有测试中均优于错误配对，注册后误差显著降低。
- 适用于脊柱手术中螺钉位置实时反馈，提升术中导航精度。
在前后位（AP）和侧位（LAT）C臂影像中精确匹配椎弓根螺钉，对脊柱减压与固定手术至关重要。然而，尤其在侧位视图中建立螺钉对应关系仍是临床重大挑战。本文提出一种基于双视角C臂影像与螺钉CAD三维模型的螺钉配对与姿态估计方法。通过比较螺钉组合，该方法在配对与配准任务中均表现出一致性准确性。利用2D-3D对齐技术，结合螺钉三维模型，可从双视角中准确配对并估计螺钉姿态。结果表明，正确螺钉组合在所有测试案例中始终优于错误配对，即使在注册前也表现更优；注册后，正确组合进一步提升了投影与图像间的对齐效果，显著降低投影误差。该方法有望通过提供可靠的螺钉位置反馈，改善脊柱手术的临床效果。
原文摘要 · Abstract (English)
Accurate matching of pedicle screws in both anteroposterior (AP) and lateral (LAT) images is critical for successful spinal decompression and stabilization during surgery. However, establishing screw correspondence, especially in LAT views, remains a significant clinical challenge. This paper introduces a method to address pedicle screw correspondence and pose estimation from dual C-arm images. By comparing screw combinations, the approach demonstrates consistent accuracy in both pairing and registration tasks. The method also employs 2D-3D alignment with screw CAD 3D models to accurately pair and estimate screw pose from dual views. Our results show that the correct screw combination consistently outperforms incorrect pairings across all test cases, even prior to registration. After registration, the correct combination further enhances alignment between projections and images, significantly reducing projection error. This approach shows promise for improving surgical outcomes in spinal procedures by providing reliable feedback on screw positioning.
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