An Optimized Image Matching Method for Determining In-Vivo TKA Kinematics with a Dual-Orthogonal Fluoroscopic Imaging System

[+] Author and Article Information
Jeffrey Bingham

Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital/Harvard Medical School and Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA

Guoan Li1

Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital/Harvard Medical School, Boston, MAgli1@partners.org


Corresponding author. Bioengineering Laboratory, MGH/Harvard Medical School, 55 Fruit St., GRJ 1215, Boston, MA 02114.

J Biomech Eng 128(4), 588-595 (Jan 06, 2006) (8 pages) doi:10.1115/1.2205865 History: Received June 10, 2005; Revised January 06, 2006

This study presents an optimized matching algorithm for a dual-orthogonal fluoroscopic image system used to determine six degrees-of-freedom total knee arthroplasty (TKA) kinematics in-vivo. The algorithm was evaluated using controlled conditions and standard geometries. Results of the validation demonstrate the algorithm’s robustness and capability of realizing a pose from a variety of initial poses. Under idealized conditions, poses of a TKA system were recreated to within 0.02±0.01 mm and 0.02±0.03 deg for the femoral component and 0.07±0.09 mm and 0.16±0.18 deg for the tibial component. By employing a standardized geometry with spheres, the translational accuracy and repeatability under actual conditions was found to be 0.01±0.06 mm. Application of the optimized matching algorithm to a TKA patient showed that the pose of in-vivo TKA components can be repeatedly located, with standard deviations less than ±0.12 mm and ±0.12 deg for the femoral component and ±0.29 mm and ±0.25 deg for the tibial component. This methodology presents a useful tool that can be readily applied to the investigation of in-vivo motion of TKA kinematics.

Copyright © 2006 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.



Grahic Jump Location
Figure 1

A dual-orthogonal fluoroscopic system for capturing in-vivo knee joint kinematics

Grahic Jump Location
Figure 2

A virtual dual-orthogonal fluoroscopic system constructed to reproduce the in-vivo knee joint kinematics

Grahic Jump Location
Figure 3

Definition of local and global coordinate systems and the transformation of model points

Grahic Jump Location
Figure 4

Outlining procedure. (a) Compartmentalize projected points (b) and (c) determine boundary grids with left-looking outlining technique (d) and (e) select point in each grid that is closest to the outer edge. (f) Completion of algorithm with selected outline points.

Grahic Jump Location
Figure 5

Representation of calculating the minimum distance between projected points and a fluoroscopic outline

Grahic Jump Location
Figure 6

Geometry of standardized test. Spheres two and seven were ceramic, sphere five was tungsten, and the remaining spheres were stainless steel. The spheres were stacked in the vertical plane.




Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In