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Updated: May 7, 2026
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
Marker-based validation of a biplane fluoroscopy system for quantifying foot kinematics
Joseph M Iaquinto1, Richard Tsai2, David R Haynor3
1Department of Veterans Affairs, RR&D Center of Excellence for Limb Loss Prevention and Prosthetic Engineering, VA Puget Sound Health Care System, Seattle, WA, United States; Department of Mechanical Engineering, University of Washington, Seattle, WA, United States.
This study presents a novel system for precise foot motion imaging during gait using radiostereometric analysis. The validated system achieves high accuracy, paving the way for advanced biomechanical studies.
Area of Science:
- Biomechanical Engineering
- Medical Imaging Technology
- Orthopedic Biomechanics
Background:
- Radiostereometric analysis (RSA) enables precise tracking of bone motion.
- Existing two-plane imaging systems are often custom-built and may restrict patient movement.
- A specialized system for dynamic foot imaging during gait is needed.
Purpose of the Study:
- To design and validate a novel imaging system optimized for capturing foot motion during gait.
- To assess the accuracy and precision of the developed system using marker-based validation.
Main Methods:
- Modified paired C-arms for unimpeded gait, enhanced with high-speed cameras and artifact correction.
- Developed post-processing software for calculating bead locations from acquired images.
- Employed marker-based validation with beads at known locations to assess system accuracy.
Main Results:
- Distortion correction significantly reduced overall RMS error from 6.56 mm to 0.17 mm.
- Static imaging achieved translational accuracy of 0.094 ± 0.081 mm and rotational accuracy of 0.083 ± 0.068°.
- Dynamic trials simulating walking speeds demonstrated an accuracy of 0.126 ± 0.122 mm.
Conclusions:
- The developed system's accuracy and precision are comparable to existing RSA systems.
- Marker-based validation confirms the system's suitability for foot motion analysis during gait.
- Future work will involve model-based validation for comprehensive gait analysis.