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Published on: July 2, 2021
Integrated contour detection and pose estimation for fluoroscopic analysis of knee implants
A H Prins1, B L Kaptein, B C Stoel
1Biomechanics and Imaging Group, Department of Orthopaedics, Leiden University Medical Center, Leiden, The Netherlands.
Summary
An automated method for knee implant contour detection significantly speeds up fluoroscopic analysis. This new approach offers comparable precision to manual methods, making it ideal for clinical research.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Orthopedic Surgery
Background:
- Fluoroscopic analysis of knee implant kinematics requires accurate implant contour detection and pose estimation.
- Manual contour detection is a time-consuming bottleneck, especially with large datasets of potentially low-quality images.
Purpose of the Study:
- To develop and evaluate an automated contour detection method integrated into knee implant pose estimation.
- To compare the precision and efficiency of the automated method against a standard manual approach.
Main Methods:
- An automated contour detection algorithm was developed and integrated with pose estimation.
- Phantom experiments were conducted to compare precision with a manual contour selection method.
- Efficiency was assessed using six clinical datasets, measuring observer time per image.
Main Results:
- Both automated and manual methods demonstrated comparable precision, with minor differences in Y-position (0.08 mm vs. 0.06 mm).
- Precision for both methods was below 0.2 mm and 0.3 degrees, meeting clinical research requirements.
- The automated method reduced observer time to 1.5 min per image, compared to 3.9 min for the standard method, representing a threefold efficiency increase.
Conclusions:
- The automated contour detection method offers sufficient precision for clinical research.
- The integrated approach significantly improves efficiency in fluoroscopic analysis of knee implant kinematics.
- This automated method reduces manual workload and is more intuitive than standard techniques.
