The tibio-femoral joint has been mechanically approximated with two fixed kinematic axes of rotation, the longitudinal rotational (LR) axis in the tibia and the flexion-extension (FE) axis in the femur. The mechanical axis finder developed by Hollister et al. (1993, “The Axes of Rotation of the Knee,” Clin. Orthop. Relat. Res., 290, pp. 259–268) identified the two fixed axes but the visual-based alignment introduced errors in the method. Therefore, the objectives were to develop and validate a new axis finding method to identify the LR and FE axes which improves on the error of the mechanical axis finder. The virtual axis finder retained the concepts of the mechanical axis finder but utilized a mathematical optimization to identify the axes. Thus, the axes are identified in a two-step process: First, the LR axis is identified from pure internal-external rotation of the tibia and the FE axis is identified after the LR axis is known. The validation used virtual simulations of 3D video-based motion analysis to create relative motion between the femur and tibia during pure internal-external rotation, and flexion-extension with coupled internal-external rotation. The simulations modeled tibio-femoral joint kinematics and incorporated 1 mm of random measurement error. The root mean squared errors (RMSEs) in identifying the position and orientation of the LR and FE axes with the virtual axis finder were 0.45 mm and 0.20 deg, and 0.11 mm and 0.20 deg, respectively. These errors are at least two times better in position and seven times better in orientation than those of the mechanical axis finder. Variables, which were considered a potential source of variation between joints and/or measurement systems, were tested for their sensitivity to the RMSE of identifying the axes. Changes in either the position or orientation of a rotational axis resulted in high sensitivity to translational RMSE (6.8 mm of RMSE per mm of translation) and rotational RMSE (1.38 deg of RMSE per degree of rotation), respectively. Notwithstanding these high sensitivities, corresponding errors can be reduced by segmenting the range of motion into regions where changes in either position or orientation are small. The virtual axis finder successfully increased the accuracy of the mechanical axis finder when the axes of motion are fixed with respect to the bones, but must be used judiciously in applications which do not have fixed axes of rotation.
Skip Nav Destination
e-mail: mlhull@ucdavis.edu
Article navigation
January 2010
Research Papers
Virtual Axis Finder: A New Method to Determine the Two Kinematic Axes of Rotation for the Tibio-Femoral Joint
Michelle Roland,
Michelle Roland
Biomedical Engineering Program, One Shields Ave.,
University of California
, Davis, CA 95616
Search for other works by this author on:
M. L. Hull,
M. L. Hull
Biomedical Engineering Program and Department of Mechanical Engineering, One Shields Ave.,
e-mail: mlhull@ucdavis.edu
University of California
, Davis, CA 95616
Search for other works by this author on:
S. M. Howell
S. M. Howell
Department of Mechanical Engineering, One Shields Ave.,
University of California
, Davis, CA 95616
Search for other works by this author on:
Michelle Roland
Biomedical Engineering Program, One Shields Ave.,
University of California
, Davis, CA 95616
M. L. Hull
Biomedical Engineering Program and Department of Mechanical Engineering, One Shields Ave.,
University of California
, Davis, CA 95616e-mail: mlhull@ucdavis.edu
S. M. Howell
Department of Mechanical Engineering, One Shields Ave.,
University of California
, Davis, CA 95616J Biomech Eng. Jan 2010, 132(1): 011009 (9 pages)
Published Online: December 18, 2009
Article history
Received:
March 3, 2009
Revised:
June 30, 2009
Posted:
September 4, 2009
Published:
December 18, 2009
Online:
December 18, 2009
Citation
Roland, M., Hull, M. L., and Howell, S. M. (December 18, 2009). "Virtual Axis Finder: A New Method to Determine the Two Kinematic Axes of Rotation for the Tibio-Femoral Joint." ASME. J Biomech Eng. January 2010; 132(1): 011009. https://doi.org/10.1115/1.4000163
Download citation file:
Get Email Alerts
Cited By
How Irregular Geometry and Flow Waveform Affect Pulsating Arterial Mass Transfer
J Biomech Eng (December 2024)
Phenomenological Muscle Constitutive Model With Actin–Titin Binding for Simulating Active Stretching
J Biomech Eng (January 2025)
Image-Based Estimation of Left Ventricular Myocardial Stiffness
J Biomech Eng (January 2025)
Related Articles
Knee Joint Secondary Motion Accuracy Improved by Quaternion-Based Optimizer With Bony Landmark Constraints
J Biomech Eng (December,2010)
A Method for Measurement of Joint Kinematics in Vivo by Registration of 3-D Geometric Models With Cine Phase Contrast Magnetic Resonance Imaging Data
J Biomech Eng (October,2005)
Simultaneous In Vitro Measurement of Patellofemoral Kinematics and Forces
J Biomech Eng (June,2004)
Development and Validation of A C0–C7 FE Complex for Biomechanical Study
J Biomech Eng (October,2005)
Related Proceedings Papers
Dynamic Modeling of Knee Mechanics
IMECE2011
Related Chapters
Computer Aided Oracle Bone Inscriptions Textual Research Based on Ontology
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Research on Oracle Bone Inscriptions Machine Translation Based on Example and Ontology
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Application of Non-Linear Elastic Wave Spectroscopy (NEWS) to In Vitro Damage Assessment in Cortical Bone
Biomedical Applications of Vibration and Acoustics in Imaging and Characterizations