In current literature, databases of healthy knee anatomy and function are confined to small sample sizes or singular imaging modalities. In this study, the investigator propose constructing a unique and large-scale database of healthy Caucasian knee anatomy and function by utilizing a combination of ultra-high resolution capabilities from photon-counting CT, lower limb weightbearing orthogonal imaging (EOS) of full leg, and non-invasive ultrasound-based functional testing of the knee. This study is a collaborative effort between the orthopaedics, radiology and biomechanical engineering departments in which the same prospectively acquired database will be used for multiple independent research questions.