Automatic registration of MRI-based joint models to high-speed biplanar radiographs for precise quantification of in vivo anterior cruciate ligament deformation during gait

JOURNAL OF BIOMECHANICS

卷:81

Article

Englander, Zoe A.^1,2  Martin, John T.¹  Ganapathy, Pramodh K.¹  Garrett, William E.¹  DeFrate, Louis E.^1,2,3 

[1] Duke Univ, Dept Orthopaed Surg, Durham, NC USA

[2] Duke Univ, Dept Biomed Engn, Durham, NC 27706 USA

[3] Duke Univ, Dept Mech Engn & Mat Sci, Durham, NC 27706 USA

关键词: Kinematics;    Biomechanics;    ACL;    Biplanar radiography;    Optimization;    Strain;    Knee;    Injury mechanism;    Imaging;   

DOI  :  10.1016/j.jbiomech.2018.09.010

来源: Elsevier

【 摘 要 】

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. (C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

Free