Osteoporosis is a common age-related disease characterized by reduced bone mineral density (BMD), micro-structural deterioration, and enhanced fracture-risk. There is compelling evidence that bone micro-structural properties are strong determinants of bone strength and fracture-risk. Valid and reliable measures of effective trabecular bone (Tb) micro-structural features are of paramount significance in early detection of osteoporosis and accurate assessment of fracture-risk. It has been shown using biomechanical modelling that transverse trabeculae are important players in arresting the buckling of longitudinal trabeculae that causes compressive fractures. One of the aims of my PhD research was to develop and validate a new method of characterizing transverse and longitudinal trabeculae at in vivo imaging resolution and retrospectively examine its application using existing human study data. A set of cadaveric ankle specimens (n = 19) were collected, prepared, and scanned using CT and micro-CT imaging protocols, to validate new methods.
Emerging in vivo imaging technologies allow us to collect bone data at the hip. A major challenge in this research approach is related to selection of standardized anatomic ROIs in hip scans of individual subjects. The second aim of my PhD research was to develop and validate an active-shape-model (ASM) based method to automatically generate anatomically standardized ROIs that will adjust for subject-specific variations in femur geometry and shape. Also, the ASM may be used to compute effective geometric features from individual femur shape instances. To overcome the challenges of building the ASM of the complex three-dimensional (3-D) shape of the femur, a novel geodesic-editor graphical-user-interface (GUI) has been designed and developed that allows drawing and manipulating lines and landmarks on arbitrary curved surfaces as compared to 2-D planes used by conventional GUIs. Also, a new theory and algorithm of shape- based smoothing have been developed to smooth image-based femur shape and reduce digital artifacts.
The third aim of my PhD research program was to develop a comprehensive manual quality control protocol for quantitative in vivo bone micro-structural imaging cascades for human studies. The purpose of this aim is to identify and resolve failure points in the large and complex image processing protocol for quantitative in vivo bone micro-structural imaging, developed in our laboratory, which uses several study-specific assumptions to optimize and automate the overall computational system.