Zhang Shu, Lichti Derek D, Kuntze Gregor, Ronsky Janet L
Department of Geomatics Engineering, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada.
Department of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada.
Diagnostics (Basel). 2024 Jul 11;14(14):1488. doi: 10.3390/diagnostics14141488.
High-speed biplanar videoradiography can derive the dynamic bony translations and rotations required for joint cartilage contact mechanics to provide insights into the mechanical processes and mechanisms of joint degeneration or pathology. A key challenge is the accurate registration of 3D bone models (from MRI or CT scans) with 2D X-ray image pairs. Marker-based or model-based 2D-3D registration can be performed. The former has higher registration accuracy owing to corresponding marker pairs. The latter avoids bead implantation and uses radiograph intensity or features. A rigorous new method based on projection strategy and least-squares estimation that can be used for both methods is proposed and validated by a 3D-printed bone with implanted beads. The results show that it can achieve greater marker-based registration accuracy than the state-of-the-art RSA method. Model-based registration achieved a 3D reconstruction accuracy of 0.79 mm. Systematic offsets between detected edges in the radiographs and their actual position were observed and modeled to improve the reconstruction accuracy to 0.56 mm (tibia) and 0.64 mm (femur). This method is demonstrated on in vivo data, achieving a registration precision of 0.68 mm (tibia) and 0.60 mm (femur). The proposed method allows the determination of accurate 3D kinematic parameters that can be used to calculate joint cartilage contact mechanics.
高速双平面视频放射成像可以获取关节软骨接触力学所需的动态骨平移和旋转,从而深入了解关节退变或病变的力学过程和机制。一个关键挑战是将3D骨模型(来自MRI或CT扫描)与2D X光图像对进行精确配准。可以进行基于标记或基于模型的2D-3D配准。前者由于有相应的标记对,配准精度更高。后者避免了珠子植入,利用了射线照片的强度或特征。提出了一种基于投影策略和最小二乘估计的严格新方法,该方法可用于这两种方法,并通过植入珠子的3D打印骨进行了验证。结果表明,与最先进的RSA方法相比,它可以实现更高的基于标记的配准精度。基于模型的配准实现了0.79毫米的3D重建精度。观察并模拟了射线照片中检测到的边缘与其实际位置之间的系统偏移,以将重建精度提高到0.56毫米(胫骨)和0.64毫米(股骨)。该方法在体内数据上得到了验证,胫骨的配准精度达到0.68毫米,股骨的配准精度达到0.60毫米。所提出的方法允许确定准确的3D运动学参数,可用于计算关节软骨接触力学。