Related Experiment Video
Updated: Mar 31, 2026
09:34
A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
Published on: September 14, 2017
7.9K
Long-bone fracture detection in digital X-ray images based on digital-geometric techniques
Oishila Bandyopadhyay1, Arindam Biswas1, Bhargab B Bhattacharya2
1Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, India.
Computer Methods and Programs in Biomedicine
|October 20, 2015
Summary
This study introduces an automated system for detecting and evaluating orthopaedic fractures in long-bone X-rays. The software tool aids paramedics and doctors in identifying fractures, their location, and severity.
Area of Science:
- Medical Imaging
- Orthopaedics
- Computer-Aided Diagnosis
Background:
- Automated fracture detection is crucial for telemedicine.
- Current methods may lack comprehensive evaluation capabilities.
Purpose of the Study:
- To propose a unified technique for detecting and evaluating orthopaedic fractures in long-bone digital X-ray images.
- To develop a user-friendly software tool for medical professionals.
Main Methods:
- Image segmentation to isolate bone regions.
- Adaptive thresholding for bone contour generation.
- Unsupervised correction of contour discontinuities.
- Application of digital geometry concepts (relaxed straightness, concavity index) for fracture analysis.
Main Results:
- Successful detection of fractures in long-bone digital X-ray images.
- Localization of the fracture line-of-break.
- Identification of fracture orientation and assessment of damage extent.
- Satisfactory experimental results on a diverse image database.
Conclusions:
- The proposed unified technique effectively detects and evaluates orthopaedic fractures.
- The developed software tool is suitable for use by paramedics and specialist doctors.
- The method enhances the capabilities of computer-aided telemedicine systems.
