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

Publication ,  Journal Article
Englander, ZA; Martin, JT; Ganapathy, PK; Garrett, WE; DeFrate, LE
Published in: J Biomech
November 16, 2018

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.

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Published In

J Biomech

DOI

EISSN

1873-2380

Publication Date

November 16, 2018

Volume

81

Start / End Page

36 / 44

Location

United States

Related Subject Headings

  • Young Adult
  • Tibia
  • Swine
  • Radiography
  • Models, Biological
  • Male
  • Magnetic Resonance Imaging
  • Knee Joint
  • Humans
  • Gait
 

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Englander, Z. A., Martin, J. T., Ganapathy, P. K., Garrett, W. E., & DeFrate, L. E. (2018). Automatic registration of MRI-based joint models to high-speed biplanar radiographs for precise quantification of in vivo anterior cruciate ligament deformation during gait. J Biomech, 81, 36–44. https://doi.org/10.1016/j.jbiomech.2018.09.010
Englander, Zoë A., John T. Martin, Pramodh K. Ganapathy, William E. Garrett, and Louis E. DeFrate. “Automatic registration of MRI-based joint models to high-speed biplanar radiographs for precise quantification of in vivo anterior cruciate ligament deformation during gait.J Biomech 81 (November 16, 2018): 36–44. https://doi.org/10.1016/j.jbiomech.2018.09.010.
Englander, Zoë A., et al. “Automatic registration of MRI-based joint models to high-speed biplanar radiographs for precise quantification of in vivo anterior cruciate ligament deformation during gait.J Biomech, vol. 81, Nov. 2018, pp. 36–44. Pubmed, doi:10.1016/j.jbiomech.2018.09.010.
Journal cover image

Published In

J Biomech

DOI

EISSN

1873-2380

Publication Date

November 16, 2018

Volume

81

Start / End Page

36 / 44

Location

United States

Related Subject Headings

  • Young Adult
  • Tibia
  • Swine
  • Radiography
  • Models, Biological
  • Male
  • Magnetic Resonance Imaging
  • Knee Joint
  • Humans
  • Gait