This joint project between the University of Iowa Biomechanical Orthopaedics Laboratory and the University of North Carolina at Charlotte Machine Vision Laboratory seeks to develop computer software to aid in the virtual reconstruction of comminuted bone fractures, i.e., bone fractures that involve many bone fragments. University of Iowa researchers will obtain bone fragment measurements from two sources: (1) actual fracture cases experienced by their orthopedic surgeons and (2) artificially generated fractures using a "drop tower" device and special synthetic bone surrogate materials. Images of the bones are recorded by 3D laser scanning or 3D Computerized Tomography (CT) which serves as source data for the reconstruction software. Software algorithms developed at the UNCC Machine Vision Lab process the fracture data to detect, match, and subsequently reconstruct the bone fragments to discover the unknown geometric structure of the bone prior to the fracture event. Such systems are crucial components for quantifying and classifying bone fractures; a critical component to defining effective treatment strategies. Surgeons may also use such systems for pre-operative planning and for experimenting with novel reconstruction strategies. Such tools promise to aid in the development of new approaches to this problem that will reduce the occurence of Post-Traumatic Ostreo Arthritis (PTOA), a debilitating condition that commonly occurs in patients with such injuries.