In-Vivo Measurement of Dynamic Joint Motion Using High Speed Biplane Radiography and CT: Application to Canine ACL Deficiency
Author:
Tashman Scott1, Anderst William1
Affiliation:
1. Bone and Joint Center, Henry Ford Hospital, 2799 W. Grand Blvd., Detroit, MI 48202
Abstract
Dynamic assessment of three-dimensional (3D) skeletal kinematics is essential for understanding normal joint function as well as the effects of injury or disease. This paper presents a novel technique for measuring in-vivo skeletal kinematics that combines data collected from high-speed biplane radiography and static computed tomography (CT). The goals of the present study were to demonstrate that highly precise measurements can be obtained during dynamic movement studies employing high frame-rate biplane video-radiography, to develop a method for expressing joint kinematics in an anatomically relevant coordinate system and to demonstrate the application of this technique by calculating canine tibio-femoral kinematics during dynamic motion. The method consists of four components: the generation and acquisition of high frame rate biplane radiographs, identification and 3D tracking of implanted bone markers, CT-based coordinate system determination, and kinematic analysis routines for determining joint motion in anatomically based coordinates. Results from dynamic tracking of markers inserted in a phantom object showed the system bias was insignificant (−0.02 mm). The average precision in tracking implanted markers in-vivo was 0.064 mm for the distance between markers and 0.31° for the angles between markers. Across-trial standard deviations for tibio-femoral translations were similar for all three motion directions, averaging 0.14 mm (range 0.08 to 0.20 mm). Variability in tibio-femoral rotations was more dependent on rotation axis, with across-trial standard deviations averaging 1.71° for flexion/extension, 0.90° for internal/external rotation, and 0.40° for varus/valgus rotation. Advantages of this technique over traditional motion analysis methods include the elimination of skin motion artifacts, improved tracking precision and the ability to present results in a consistent anatomical reference frame.
Publisher
ASME International
Subject
Physiology (medical),Biomedical Engineering
Reference31 articles.
1. Markolf, K. L., William, B. L., Shoemaker, S. C., and Amstutz, H. C., 1981, “The Role of Joint Load in Knee Stability,” J. Bone Jt. Surg., 63, pp. 570–585. 2. Schipplein, O. D., and Andriacchi, T. P., 1991, “Interaction Between Active and Passive Knee Stabilizers During Level Walking,” J. Orthop. Res., 9, pp. 113–119. 3. Holden, J. P., Orsini, J. A., Siegel, K. L., Kepple, T. M., Gerber, L. H., and Stanhope, S. J., 1997, “Surface Movement Errors in Shank Kinematics and Knee Kinetics During Gait,” Gait & Posture, 5, pp. 217–227. 4. Reinschmidt, C., van den Bogert, A. J., Nigg, B. M., Lundberg, A., and Murphy, N., 1997, “Effect of Skin Movement on the Analysis of Skeletal Knee Joint Motion During Running,” J. Biomech., 30, pp. 729–732. 5. Lafortune, M. A., Lambert, C. E., and Lake, M. J., 1992, “Skin Marker Displacement at the Knee Joint. NACOB II: The Second North American Congress on Biomechanics,” Chicago, IL: Pergamon Press, J. Biomech., 26, pp. 299299.
Cited by
247 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|