Severe acute pancreatitis is the systemic inflammatory reaction caused by the preternatural activation of trypsogen. The necrotizing pancrea as the antigen or stimulant, activiates immunocyte and in-flammatory cell to release a great deal of cytokines, including proinflammatery factor and anti-inflammatory factor. The former aggravates the damage of constitution, the latter could antigonize the damage of anti-inflam-matory factor. The unbalance of pro-and anti-inflammatory cytokines ,leads to the occurrence of systemic in-flammatory syndrome, even the mutiple organ failure.

Objective Few studies are reported on the construction of a finite element model of human complex knee joint using multimodality CT and MRI images.In this study, we developed a finite element model of the knee joint for total knee arthroplasty (TKA) using matched and fused CT and MRI data, hoping to provide a useful tool for the simulation study of knee joint biomechanics of TKA.Methods The CT and MRI image data about an intact knee of a 26-year-old male volunteer were imported into the Mimics software for the establishment of 3D models of bony and soft-tissue structures.A complete knee model was developed following the registration and fusion of the constructed 3D models based on the external landmarks.After the simulated implantation of TKA components, a finite element model of the TKA knee was constructed with the Hypermesh software.Then the finite element model was analyzed following the definition of its material behavior, boundary conditions and loading.Results The finite element model of the TKA knee, which was composed of bones, ligaments, components, polyethylene insert and bone cement, was developed from CT-MRI image registration and fusion and maintained its important spatial relationship among different structures in the TKA knee.The results obtained from the finite element analysis showed the characteristics of stress distribution in the TKA knee.Conclusion The finite element model of the knee joint for TKA can be established by matching and fusing CT and MRI image data, which can be employed as a useful tool for the study of knee joint biomechanics of TKA.