Related Experiment Video
Updated: Jul 8, 2025
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
Automatic Segmentation of the Paediatric Femoral Head
Insights
This study developed an objective method to segment pediatric femoral heads from X-rays, improving developmental dysplasia of the hip (DDH) assessment. The new technique enhances diagnostic accuracy for early intervention in DDH.
Area of Science:
- Orthopedic imaging
- Pediatric radiology
- Medical image analysis
Background:
- Developmental dysplasia of the hip (DDH) affects 0.1-3.4% of infants.
- Current DDH assessment is subjective, necessitating objective metrics.
- Femoral head morphology analysis can aid in objective DDH evaluation.
Purpose of the Study:
- To segment the pediatric femoral head in stable hips from radiographs for objective DDH assessment.
- To develop and evaluate novel segmentation techniques for pediatric hip joints.
- To establish a reliable method for analyzing femoral head morphology in DDH.
Main Methods:
- Comparison of a baseline U-Net model with data augmentation and region-of-interest (ROI) networks.
- Development of four models: baseline, data augmentation only, ROI only, and both techniques.
- Evaluation using tenfold cross-validation on 720 hip radiograph images.
Main Results:
- The U-Net model incorporating both data augmentation and ROI techniques achieved the highest performance.
- Achieved a Dice Similarity Coefficient (DSC) of 0.951±0.037, indicating excellent segmentation accuracy.
- This combined approach demonstrated superior results compared to baseline and individual techniques.
Conclusions:
- The developed segmentation algorithm provides an objective method for assessing pediatric hip joint morphology.
- This technique has the potential to improve early diagnosis and treatment planning for developmental dysplasia of the hip.
- Future work will leverage this algorithm to quantify hip joint morphology and assess the impact of early surgical intervention in DDH.
Abstract:
Developmental dysplasia of the hip (DDH) is a developmental deformity occurring in 0.1-3.4% of infants. Timely surgical intervention can ameliorate the condition in stable hips and reduce future cases of osteoarthritis and total hip replacement. However, current definitions of DDH are subjective, and thus would benefit from a more objective and reliable assessment metric. Since the shape of the femoral head and its congruence with the acetabulum are disrupted by DDH, analysis of the femoral head could potentially play a role in the development of novel objective morphological metric for stable DDH. Therefore, this paper aimed to segment the paediatric femoral head in stable hips from radiographs, which has not been attempted before in the chosen focus age group (1-16 years) where the pelvis and hip joint undergo significant development. Two techniques were compared against a baseline U-Net: data augmentation and region-of-interest (ROI) networks. Four models were developed either without, with just one, or with both techniques. Evaluated using tenfold cross-validation, the U-Net trained with both techniques achieved the best results, with a Dice Similarity Coefficient (DSC) of 0.951±0.037 (mean ± standard deviation, calculated with 720 images). Future work will use this segmentation algorithm to accurately characterise hip joint morphology and estimate the benefit of early surgical intervention in DDH.
