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 Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Englander, ZA; Martin, JT; Ganapathy, PK; Garrett, WE; DeFrate, LE

Published Date

  • November 16, 2018

Published In

Volume / Issue

  • 81 /

Start / End Page

  • 36 - 44

PubMed ID

  • 30249338

Pubmed Central ID

  • PMC6434938

Electronic International Standard Serial Number (EISSN)

  • 1873-2380

Digital Object Identifier (DOI)

  • 10.1016/j.jbiomech.2018.09.010


  • eng

Conference Location

  • United States