School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China; Key Laboratory of Vehicle Advanced Manufacturing, Ministry of Education, Measuring and Control Technology, Beijing Jiaotong University, China.
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China.
Comput Methods Programs Biomed. 2022 Mar;215:106591. doi: 10.1016/j.cmpb.2021.106591. Epub 2021 Dec 16.
Head injury is the leading cause of fatalities and disabilities in children. Characterizing the variation in cranial size/shape and thickness during growth is important for developing finite element models of child heads and evaluating head injury risk at different ages. However, the quantitative morphological features of the cranial vault (size/shape and non-uniform thickness distribution) have not been accounted for in children aged between 3 and 10 years old (YO).
Geometrically equivalent discrete points were identified on 42 head CT scans of 3-10 YO children by separation, curve dividing, and point fitting. Based on discrete points, the principal component analysis and regression (PCA&R) method was used to develop a statistical model of the cranial vault as a function of age and head circumference.
The ontogeny of three-dimensional cranial morphology and non-uniform thickness from 3 to 10 years of age was quantified and cranial vault morphologies for 3-10 YO children were generated in 1 year intervals.
The automatic method, the procedure of identifying discrete points from CT scans, and the developed quantitative cranial vault model are reliable and accurate.
头部损伤是儿童死亡和残疾的主要原因。描述儿童生长过程中颅腔大小/形状和厚度的变化对于开发儿童头部有限元模型和评估不同年龄的头部损伤风险非常重要。然而,3 至 10 岁(YO)儿童的颅顶(大小/形状和非均匀厚度分布)的定量形态特征尚未得到考虑。
通过分离、曲线分割和点拟合,在 42 名 3-10 岁儿童的头部 CT 扫描中确定了几何等效离散点。基于离散点,使用主成分分析和回归(PCA&R)方法建立了颅顶作为年龄和头围函数的统计模型。
量化了 3 至 10 岁儿童的三维颅形态和非均匀厚度的发育,生成了 3 至 10 岁儿童每隔 1 年的颅顶形态。
从 CT 扫描中识别离散点的自动方法、离散点的识别过程以及开发的定量颅顶模型是可靠和准确的。