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THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES
Mukul Shirvaikar1, Ning Huang1, Xuanliang Neil Dong2
1Department of Electrical Engineering, University of Texas at Tyler, Tyler, TX 75799, USA.
Journal of Medical Imaging and Health Informatics
|January 3, 2017
Summary
This study introduces statistical methods using Gray Level Co-occurrence Matrix (GLCM) from 2D images to assess bone quality and fracture risk. Results show strong correlations between specific GLCM parameters and bone
Area of Science:
- Biomedical Engineering
- Radiology
- Orthopedics
Background:
- Bone quality, influenced by mineral density and architecture, is crucial for predicting fracture risk.
- Dual-energy X-ray Absorptiometry (DXA) measures bone mineral density but lacks architectural insights for fragility assessment.
- Current advanced imaging modalities are often impractical due to cost and accessibility.
Purpose of the Study:
- To investigate statistical parameters derived from Gray Level Co-occurrence Matrix (GLCM) in 2D projection images.
- To explore the relationship between these statistical parameters, trabecular bone architecture, and mechanical properties.
- To establish a foundation for cost-effective bone quality assessment.
Main Methods:
- Analysis of Micro-CT images from 13 trabecular bone samples.
- Extraction of statistical parameters using GLCM from 2D projection images.
- Correlation analysis (regression) between GLCM parameters and ground truth data (bone volume fraction, strength, modulus) from 3D analysis and mechanical testing.
Main Results:
- The statistical parameter 'Cluster-Shade' demonstrated a strong correlation with trabecular bone microarchitecture.
- Cluster-Shade was also found to be significantly related to the mechanical properties of the bone.
- This indicates the potential of second-order statistics for bone quality assessment.
Conclusions:
- Second-order statistics, specifically GLCM parameters like Cluster-Shade, can effectively estimate bone quality and predict mechanical properties.
- This approach offers a promising, potentially more accessible and cost-effective alternative to current methods for fracture risk assessment.
- The established principle can be extended to various imaging modalities, benefiting both clinicians and patients.
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