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[摘要]
目的 构建国人第九十五百分位具有真实解剖学结构的骨盆有限元模型,探究密质骨建模方式对真实骨盆整体生物力学响应的影响。方法 基于95百分位男性志愿者骨盆医学影像数据,构建以六面体单元为主的具有真实髋骨密质骨厚度和均匀密质骨厚度(2mm)的骨盆有限元模型,采用仿真方法重构尸体试验加载工况,通过对比试验结果和仿真结果验证模型的有效性并探究两种模型在不同工况下的生物力学响应差异。结果 仿真结果表明两种骨盆模型的整体力学响应与尸体实验结果存在较强相关性且两种模型之间的力学响应差距大多在8%之内,且二者的相关性评分差值小于2%。结论 通过重构多个仿真试验验证了两种骨盆模型的有效性,两种模型的生物力学响应有差异,但均匀密质骨厚度骨盆模型(CON-M)和真实密质骨厚度骨盆模型(REA-M)的力学响应差异较小,从简化模型的角度可以使用CON-M模型研究骨盆的生物力学响应。
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[Abstract]
Objective The finite element pelvis model with detailed anatomical structures which meets the Chinese human 95th percentile characteristics was developed , and the influence of cortical bone modeling methods on the biomechanical response of the real pelvis was explored. Methods Based on the pelvis medical images of a 95th percentile male volunteer, the two finite element pelvis models with real hip bone cortical bone thickness and uniform cortical bone thickness(2mm) dominated by hexahedral elements were constructed . Using simulation methods to reconstruct the loading conditions of cadaver experiments, the validation of models is verified by comparing the experimental results and simulation result, and biomechanical response differences of the two models under different working conditions were discussed. Results The simulation data show that there is a strong correlation between the overall biomechanical response of the two pelvic models and the cadaver experiment, and the mechanical response gap between the two models was mostly within 8%, and the correlation score difference between the two models is less than 2%. Conclusions The validation of the two pelvic models established in this paper has been comprehensively verified by rebuilding simulation experiments. Although the biomechanical responses of the two models are different, the difference in the mechanical responses of pelvis model with uniform cortical bone thickness (CON-M) and pelvis model with true cortical bone thickness (REA-M) are small. From the perspective of simplified model, the CON-M model can be used to study the biomechanical response of the pelvis.
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