An Imaging-based Disease Model for Understanding Bone Health
This project addressed the development of a disease model for bone development to better comprehend the genesis of osteoporosis, and specifically looks at modular methods for integrated visualization of clinical data. The model will be built by using quantitative magnetic resonance (qMR) to examine bone growth in young adults and assess trabecular bone quality. A Bayesian belief network (will be constructed using these qMR values with other imaging and observational data. Two patient populations provide the testbed for this work: a normal volunteer population, ages 20-30 years old and patients deemed osteoporotic. A sub-study examined the role of Vitamin D on bone development in the abnormal population.