Englander Zoë A, Martin John T, Ganapathy Pramodh K, Garrett William E, DeFrate Louis E
Department of Orthopaedic Surgery, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
J Biomech. 2018 Nov 16;81:36-44. doi: 10.1016/j.jbiomech.2018.09.010. Epub 2018 Sep 13.
Understanding in vivo joint mechanics during dynamic activity is crucial for revealing mechanisms of injury and disease development. To this end, laboratories have utilized computed tomography (CT) to create 3-dimensional (3D) models of bone, which are then registered to high-speed biplanar radiographic data captured during movement in order to measure in vivo joint kinematics. In the present study, we describe a system for measuring dynamic joint mechanics using 3D surface models of the joint created from magnetic resonance imaging (MRI) registered to high-speed biplanar radiographs using a novel automatic registration algorithm. The use of MRI allows for modeling of both bony and soft tissue structures. Specifically, the attachment site footprints of the anterior cruciate ligament (ACL) on the femur and tibia can be modeled, allowing for measurement of dynamic ACL deformation. In the present study, we demonstrate the precision of this system by tracking the motion of a cadaveric porcine knee joint. We then utilize this system to quantify in vivo ACL deformation during gait in four healthy volunteers.
了解动态活动期间的体内关节力学对于揭示损伤和疾病发展机制至关重要。为此，实验室利用计算机断层扫描（CT）创建骨骼的三维（3D）模型，然后将其与运动过程中捕获的高速双平面放射影像数据配准，以测量体内关节运动学。在本研究中，我们描述了一种系统，该系统使用磁共振成像（MRI）创建的关节3D表面模型，并使用一种新颖的自动配准算法将其与高速双平面X光片配准，来测量动态关节力学。MRI的使用允许对骨骼和软组织结构进行建模。具体而言，可以对前交叉韧带（ACL）在股骨和胫骨上的附着点足迹进行建模，从而能够测量ACL的动态变形。在本研究中，我们通过跟踪一具猪尸体膝关节的运动来证明该系统的精度。然后，我们利用该系统对四名健康志愿者在步态期间的体内ACL变形进行量化。
