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research-article

Characterization and Correction of Errors in Computing Contact Location between Curved Articular Surfaces: Application to Total Knee Arthroplasty

[+] Author and Article Information
Joshua D. Roth

UC Davis Biomedical Engineering Graduate Group 4635 2nd Ave (Building 97), Sacramento, CA 95817
jdroth@ucdavis.edu

Stephen M. Howell

UC Davis Biomedical Engineering Graduate Group 4635 2nd Ave (Building 97), Sacramento, CA 95817
sebhowell@mac.com

Maury L. Hull

UC Davis Biomedical Engineering Graduate Group UC Davis Department of Biomedical Engineering UC Davis Department of Mechanical Engineering 4635 2nd Ave (Building 97), Sacramento, CA 95817
mlhull@ucdavis.edu

1Corresponding author.

ASME doi:10.1115/1.4036147 History: Received November 06, 2016; Revised February 23, 2017

Abstract

Previous reports of tibial force sensors have neither characterized nor corrected errors in the computed contact location between the femoral and tibial components in total knee arthroplasty (TKA) that are theoretically caused by the curved articular surface of the tibial component. The objectives were to experimentally characterize there errors and to develop and validate an error correction algorithm. The errors were characterized by calculating the difference between the errors in the computed contact location when forces were applied normal to the tibial articular surface and those when forces were applied normal to the tibial baseplate. The algorithm generated error correction functions to minimize these errors and was validated by determining how much the error correction functions reduced the errors in the computed contact location caused by the curved articular surface. The curved articular surfaces primarily caused bias which ranged from 1.0 to 2.7 mm in regions of high curvature. The error correction functions reduced the bias in these regions to negligible levels ranging from 0.0 to 0.6 mm (p < 0.001). Bias in the computed contact locations caused by the curved articular surface of the tibial insert needs to be accounted for because it may inflate the computed internal-external rotation and anterior-posterior translation of femur on the tibia leading to false identifications of clinically undesirable contact kinematics (e.g. external rotation and anterior translation). Our novel error correction algorithm is an effective method to account for this bias to more accurately compute contact kinematics.

Copyright (c) 2017 by ASME
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