Bone specimens were collected from the frontal and parietal bones of 4 adult, human skulls. The microstructure was characterized using microcomputed tomography (micro-CT) at about 6-μm resolution to map the change of porosity as a function of the depth, P(d), from the inner surface nearest to the brain to the outer surface nearest to the skin. A quantifiable method was developed using the measured P(d) to objectively distinguish between the three layers of the skull: the outer table, diploë , and inner table. The thickness and average porosity of each of the layers were then calculated from the measured porosity distributions, and a Gaussian function was fit to the P(d) curves. Morphological parameters were compared between the two bone types (frontal and parietal), while accounting for skull-to-skull variability. Parietal bones generally had a larger diploë accompanied by a thinner inner table. The arrangement of the porous vesicular structure within the outer table was also obtained with micro-CT scans with longer scan times, using enhanced parameters for higher resolution and lower noise in the images. From these scans, the porous structure of the bone appeared to be randomly arranged in the transverse plane, compared to the porous structure of the human femur, which is aligned in the loading direction.

从4个成年人类头骨的额骨和顶骨收集骨标本。使用显微计算机断层扫描（micro-CT）在约6μm的分辨率下对微观结构进行表征，以绘制从最接近大脑的内表面到外表面的孔隙率变化与深度P（d）的函数关系最接近皮肤。开发了一种可量化的方法，使用测得的P（d）来客观地区分头骨的三层：外部工作台，diploë和内部工作台。然后，根据测得的孔隙率分布计算各层的厚度和平均孔隙率，并将高斯函数拟合到P（d）曲线上。比较了两种骨骼类型（额骨和顶骨）的形态学参数，同时考虑了头骨之间的差异。顶骨通常具有更大的骨盆，并伴有更薄的内部桌子。通过使用具有更长的扫描时间的微型CT扫描，还使用增强的参数获得了更高的分辨率和更低的图像噪声，从而获得了外部工作台中多孔水泡结构的排列方式。通过这些扫描，与沿加载方向排列的人股骨的多孔结构相比，骨头的多孔结构似乎在横向平面中随机排列。