Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Computational Framework for Microstructural Bone Dynamics Model and Its Evaluation
BIBE '10 Proceedings of the 2010 IEEE International Conference on Bioinformatics and Bioengineering
A graph-based approach for computational model of bone microstructure
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Mathematical network model for bone mineral density (BMD) and bone quality assessment
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
A Semi-Supervised Learning Approach to Integrated Salient Risk Features for Bone Diseases
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
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As prevalence and awareness of osteoporosis increase and treatments of proven efficacy become available, the demand for management of patients with the disease will also rise. It calls for innovative research on understanding of osteoporosis and fracture mechanisms, allowing early and more accurate prediction of bone disease progression. The most widely validated technique for the diagnosis of osteoporosis is Bone Mineral Density (BMD) measurement based on dual energy X-ray absorptiometry (DXA). However, a major limitation of BMD is that it incompletely reflects the variation in bone strength. In this paper we develop and evaluate a novel three-dimensional (3D) computational bone framework capable of providing: (1) Spatio-temporal 3D microstructure bone model; (2) Derived quantitative measures of 3D bone microarchitecture; (3) Analysis of BMD and bone strength; and (4) A state-of-the-art probabilistic approach to analyze bone fracture risk factors including demographic attributes and life styles. Beyond efficient 3D bone microstructure representation, quantitative assessment is considered not only for identifying critical elements in bone microstructure, but also ensuring effective predictioin of bone diseases in advance. The simulation network model of 3D bone microarchitecture and extensive empirical study on fracture risk improve our understanding of bone disease risk arising from the complex interplay of the human BMD assessment result with presence of major risk factors.