Department of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218-2682, USA.
Biomech Model Mechanobiol. 2012 Jan;11(1-2):245-60. doi: 10.1007/s10237-011-0307-1. Epub 2011 Apr 8.
Computational models are often used as tools to study traumatic brain injury. The fidelity of such models depends on the incorporation of an appropriate level of structural detail, the accurate representation of the material behavior, and the use of an appropriate measure of injury. In this study, an axonal strain injury criterion is used to estimate the probability of diffuse axonal injury (DAI), which accounts for a large percentage of deaths due to brain trauma and is characterized by damage to neural axons in the deep white matter regions of the brain. We present an analytical and computational model that treats the white matter as an anisotropic, hyperelastic material. Diffusion tensor imaging is used to incorporate the structural orientation of the neural axons into the model. It is shown that the degree of injury that is predicted in a computational model of DAI is highly dependent on the incorporation of the axonal orientation information and the inclusion of anisotropy into the constitutive model for white matter.
计算模型通常被用作研究创伤性脑损伤的工具。此类模型的逼真度取决于结构细节的适当程度、材料行为的准确表示以及适当的损伤度量的使用。在这项研究中，使用轴突应变损伤准则来估计弥漫性轴突损伤（DAI）的概率，DAI 导致了很大比例的因脑创伤而死亡的病例，其特征是大脑深部白质区域的神经轴突损伤。我们提出了一个分析和计算模型，将白质视为各向异性的超弹性材料。扩散张量成像被用于将神经轴突的结构方向纳入模型中。结果表明，在 DAI 的计算模型中预测的损伤程度高度依赖于轴突方向信息的纳入以及各向异性在白质本构模型中的纳入。
