The main goal of this master’s degree thesis is to develop a reproducible analysis method which, starting from a set of CT images of patients who underwent surgical procedures involving SmartBone® grafts, could provide a time-related performance index of the material. The presented work needs to be conceived as a progression of a former master’s degree thesis in which a radiological evaluation method for the osteointegration of SmartBone® has been developed. To try to overcome the difficulties encountered with the former method, another three-dimensional approach has been proposed. This analysis aims to obtain an accurate 3D model of SmartBone® from the patient’s CT image stack, that allows to extract two crucial parameters: graft volume and its average HU value, which could represent two useful indicators of how SmartBone® interact with natural bone tissue.