Bone fracture healing is a complex biological process that involves the participation of many cell types, many biochemical and biomechanical regulatory factors. Most importantly, The process of bone healing proceeds in response to mechanical conditions.

Biomechanical stability is a crucial factor during the process of fracture healing. When fracture fragments are stable but not rigidly immobilized, physiological displacement may be observed, resulting in relative stability. Relative stability results in the secondary bone healing which is the most common form of bone healing. The interfragmentary motion causes soft callus and hard callus formation and the healing end with a remodeling phase.^1,2 Computed tomography (CT) is a technic that produces a 3D data set of cross-sectional images that show X-ray attenuation in various tissues. Experiment studies have showed that the bone mineral density can readily be calculated from the CT scans. The ability of quantitatively measuring bone mineral composition make the CT scans a useful imaging assessment tool for studying bone assessment and bone fracture healing.

In this research, bone is assumed to be an adaptive elastic material capable of changing its structure under external loads that produce a distribution of mechanical strain within the tissue.^3,4 One of the critical questions during the last few decades is how the local mechanical load quantitatively affects tissue differentiation. As a result, my research focuses on developing computation models of bone fracture healing and image processing techniques that allow for a better understanding of callus localization, patient weightbearing, and implant behavior through the healing process. Also, this study has the potential to apply to and help the surgeons to design patient-specific treatments. The overall objective of this research is to investigate the mechanobiological process of bone healing via numerical simulations and image analysis.