Detecting microstructural information in bones leads to improved diagnosis, monitoring, and understanding of osteoporosis in patients. Recent advances allow for comprehensive and automated mining of quantitative image features to capture disease characteristics. Among these, graph and network analysis permit to characterize and assess network as the trabecular one and been previously applied in the wrist. In this study, we aim to apply the graph and network analysis method to the femoral trabecular bone network of osteoporosis subjects with and without previous fragility fracture history and assess features associated with fracture.
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