Related Experiment Video
Updated: Mar 6, 2026

07:43
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
3.7K
Biplane fluoroscopy for hindfoot motion analysis during gait: A model-based evaluation.
Janelle A Cross1, Benjamin D McHenry2, Robert Molthen2
1Medical College of Wisconsin, 8700 Watertown Plank Road, Milwaukee, WI 53226 USA.
Medical Engineering & Physics
|March 6, 2017
Summary
This study validated a biplane fluoroscopy system for tracking hindfoot motion during gait. The model-based tracking method proved accurate and precise for in vivo, weight-bearing conditions.
Area of Science:
- Biomechanics
- Medical Imaging
- Orthopedics
Background:
- Accurate measurement of hindfoot motion is crucial for understanding gait biomechanics and diagnosing foot conditions.
- Existing methods for dynamic hindfoot motion analysis have limitations in accuracy and invasiveness.
Purpose of the Study:
- To quantify the accuracy and precision of a biplane fluoroscopy system for model-based tracking of in vivo hindfoot motion during over-ground gait.
- To compare model-based tracking with marker-based tracking for hindfoot motion analysis.
Main Methods:
- A cadaver foot specimen was manipulated through a biplane fluoroscopy system to simulate gait.
- Three steel beads were implanted for marker-based tracking, and CT scans provided a gold standard.
- Model-based tracking was compared against marker-based measurements to determine bias, precision, and root-mean-squared (RMS) error.
Main Results:
- The overall RMS error for model-based tracking was 0.43±0.22mm and 0.66±0.43° for static trials.
- For dynamic trials, the overall RMS error was 0.59±0.10mm and 0.71±0.12°.
- The model-based tracking method demonstrated high accuracy and precision in quantifying hindfoot motion.
Conclusions:
- The biplane fluoroscopy system with model-based tracking is a non-invasive technique for accurately measuring dynamic hindfoot joint motion.
- This method is suitable for in vivo, weight-bearing conditions.
- The study recommends the model-based tracking method for hindfoot motion analysis based on its performance.

