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Deformation Analysis of in-vivo Implant for Total Hip Arthroplasty Using Multidetector-row CT Images

机译:使用多排行CT图像进行全髋关节置换术的体内植入物的变形分析

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In the field of orthopedic surgery, many types of implant have been used. Especially, revision total hip arthroplasty (THA) uses a metallic implant called support implant to reconstruct the damaged acetabulum. After the revision THA, the support implant might be deformed or be broken in serious cases by the strong load or by the other factors. However, there are few effective diagnosing methods for evaluating the 3-D deformation of the support implant in vivo. This study proposes a novel approach for finding the deformation of the support implant in vivo. The proposed method uses multidetector-row CT images to take the 3-D shape of the support implant, and employs the combination of finite element method (FEM) and genetic algorithm (GA). The new combination gives us the new application of FEM. The proposed system was evaluated by computer-simulation experiment, and the effective of the system was demonstrated by applying it to the revision THA patient
机译:在整形外科领域,已经使用了许多类型的植入物。特别是,翻修全髋关节置换术(THA)使用一种称为支持植入物的金属植入物来重建受损的髋臼。修订THA后,在严重的情况下,支撑植入物可能会因强大的负载或其他因素而变形或折断。但是,很少有有效的诊断方法可用于评估体内植入物的3-D变形。这项研究提出了一种新的方法,用于在体内发现支撑植入物的变形。所提出的方法使用多排行CT图像获取支撑植入物的3-D形状,并结合了有限元方法(FEM)和遗传算法(GA)。新的组合为我们提供了FEM的新应用。通过计算机仿真实验对所提出的系统进行了评估,并将其应用于修订版THA患者,证明了该系统的有效性。

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