University of Alberta, Department of Mechanical Engineering, Edmonton, Canada.
University of Alberta, Department of Mechanical Engineering, Edmonton, Canada.
Clin Biomech (Bristol). 2023 Jul;107:106012. doi: 10.1016/j.clinbiomech.2023.106012. Epub 2023 May 30.
When developing a surrogate model of the human skull, there is a multitude of morphometric and geometric properties to consider when constructing the model. To simplify this approach, it is important to identify only the properties that have a significant influence on the mechanical response of the skull. The objective of this study was to identify which morphometric and geometric properties of the calvarium were significant predictors of mechanical response.
Calvarium specimens (N = 24) were micro-computed tomography scanned to determine morphometric and geometric properties. The specimens were assumed to be Euler-Bernoulli beams and were subject to 4-point quasi-static bending to determine mechanical response. Univariate linear regressions were performed whereby the morphometric and geometric properties were independent or predictor variables and the mechanical responses were dependent or outcome variables.
Nine significant linear regression models were established (p < 0.05). In the diploë, trabecular bone pattern factor was a significant predictor of force and bending moment at fracture. The inner cortical table had more significant predictors (thickness, tissue mineral density, and porosity) of mechanical response compared to the outer cortical table and diploë.
Morphometric and geometric properties had a key influence on the calvarium's biomechanics. Trabecular bone pattern factor and the morphometry and geometry of the cortical tables must be considered when evaluating the mechanical response of the calvarium. These properties can aid the design of surrogate models of the skull that seek to mimic its mechanical response for head impact simulation.
在开发人类颅骨的替代模型时,在构建模型时需要考虑许多形态计量学和几何属性。为了简化这种方法,重要的是仅识别对颅骨机械响应有重大影响的属性。本研究的目的是确定颅骨的哪些形态计量学和几何属性是机械响应的重要预测因子。
对颅骨标本(N=24)进行微计算机断层扫描以确定形态计量学和几何属性。假设标本为 Euler-Bernoulli 梁,并进行四点准静态弯曲以确定机械响应。进行单变量线性回归,其中形态计量学和几何属性为独立或预测变量,而机械响应为依赖或结果变量。
建立了 9 个具有统计学意义的线性回归模型(p<0.05)。在板障中,骨小梁模式因子是骨折时力和弯矩的重要预测因子。与外皮质板和板障相比,内皮质板具有更多的机械响应预测因子(厚度、组织矿物质密度和孔隙率)。
形态计量学和几何属性对颅骨的生物力学有重要影响。在评估颅骨的机械响应时,必须考虑骨小梁模式因子以及皮质板的形态计量学和几何形状。这些属性可以帮助设计颅骨替代模型,以模拟其在头部冲击模拟中的机械响应。