从2D X光片重建髋臼3D表面，辅助手术选型
3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph
- 用SRVF弹性配准建立2D与3D对应关系
- 融合多视角X光和球面模型重建3D髋臼表面
- 可提升初次置换成功率，减少翻修手术
准确可靠的髋臼杯尺寸选择对人工全髋关节置换术（THA）恢复关节生物力学至关重要。本文提出一种新框架，结合基于平方根速度函数（SRVF）的弹性形状配准技术与嵌入式变形（ED）图方法，通过融合多视角术前骨盆X光片与半球面模型，实现髋臼关节面的3D重建。SRVF弹性配准建立参数化半球模型与X光图像间的2D-3D对应关系，ED框架将该对应关系作为约束，采用非线性最小二乘优化进一步优化3D髋臼表面重建。通过仿真和真实患者数据集验证了算法的鲁棒性与潜在临床价值。重建结果可帮助外科医生在初次手术中准确选择髋臼杯，减少翻修需求。
原文摘要 · Abstract (English)
Accurate and reliable selection of the appropriate acetabular cup size is crucial for restoring joint biomechanics in total hip arthroplasty (THA). This paper proposes a novel framework that integrates square-root velocity function (SRVF)-based elastic shape registration technique with an embedded deformation (ED) graph approach to reconstruct the 3D articular surface of the acetabulum by fusing multiple views of 2D pre-operative pelvic X-ray images and a hemispherical surface model. The SRVF-based elastic registration establishes 2D-3D correspondences between the parametric hemispherical model and X-ray images, and the ED framework incorporates the SRVF-derived correspondences as constraints to optimize the 3D acetabular surface reconstruction using nonlinear least-squares optimization. Validations using both simulation and real patient datasets are performed to demonstrate the robustness and the potential clinical value of the proposed algorithm. The reconstruction result can assist surgeons in selecting the correct acetabular cup on the first attempt in primary THA, minimising the need for revision surgery.
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