title: THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES.
abstract: In this paper, statistical methods for the estimation of bone quality to predict the risk of fracture are reported. Bone mineral density and bone architecture properties are the main contributors of bone quality. Dual-energy X-ray Absorptiometry (DXA) is the traditional clinical measurement technique for bone mineral density, but does not include architectural information to enhance the prediction of bone fragility. Other modalities are not practical due to cost and access considerations. This study investigates statistical parameters based on the Gray Level Co-occurrence Matrix (GLCM) extracted from two-dimensional projection images and explores links with architectural properties and bone mechanics. Data analysis was conducted on Micro-CT images of 13 trabecular bones (with an in-plane spatial resolution of about 50μm). Ground truth data for bone volume fraction (BV/TV), bone strength and modulus were available based on complex 3D analysis and mechanical tests. Correlation between the statistical parameters and biomechanical test results was studied using regression analysis. The results showed Cluster-Shade was strongly correlated with the microarchitecture of the trabecular bone and related to mechanical properties. Once the principle thesis of utilizing second-order statistics is established, it can be extended to other modalities, providing cost and convenience advantages for patients and doctors.
authors.affiliation: Department of Electrical Engineering, University of Texas at Tyler, Tyler, TX 75799, USA.
authors.forename: Mukul
authors.initials: M
authors.lastname: Shirvaikar
authors.affiliation: Department of Electrical Engineering, University of Texas at Tyler, Tyler, TX 75799, USA.
authors.forename: Ning
authors.initials: N
authors.lastname: Huang
authors.affiliation: Department of Health and Kinesiology, University of Texas at Tyler, Tyler, TX 75799, USA.
authors.forename: Xuanliang Neil
authors.initials: XN
authors.lastname: Dong
keywords: DXA; GLCM; bone; medical imaging; osteoporosis; texture