Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Multi-agent Model Analysis of the Containment Strategy for Avian Influenza (AI) in South Korea
BIBM '08 Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine
Mathematical network model for bone mineral density (BMD) and bone quality assessment
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
3D bone microarchitecture modeling and fracture risk prediction
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
BoneNET: a network model of bone microstructure and dynamics
International Journal of Data Mining and Bioinformatics
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Osteoporosis, a condition in which bones become fragile and more likely to break, can greatly affect our health. Nearly half of all women now age 50 will someday have a broken bone due to osteoporosis. The diagnosis of osteoporosis is commonly done by tests that measure the amount of bone mass and predict the risk for fracture. However, the currently available techniques for the diagnosis of osteoporosis are limited due to the lack of good measurements of bone quality. In this paper, we develop a graph approached bone microstructure model, which is capable of enabling quantitative assessment of bone mineral density and bone microarchitecture. Our paper focuses on microstructural bone modeling and quantitative characterization of the quality and fractural risk based on the microscopic bone structure. First, we illustrate the process of development on a three-dimensional bone structure model whose properties are similar to those of bone microarchitecture. Next, we list problems of the current measurements of bone strength and quality based on bone mineral density (BMD). Last, we introduce our measurements to quantitatively assess bone quality based on the bone model.