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用于脑损伤预测的具有解剖结构和真实材料特性的人类大脑建模。

Human Brain Modeling with Its Anatomical Structure and Realistic Material Properties for Brain Injury Prediction.

机构信息

Human Science Research-Domain, Toyota Central R&D Labs., Inc., 41-1, Yokomichi, Nagakute-city, Aichi, 480-1192, Japan.

Department of Mechanical Science and Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya-city, Aichi, 464-8603, Japan.

出版信息

Ann Biomed Eng. 2018 May;46(5):736-748. doi: 10.1007/s10439-018-1988-8. Epub 2018 Feb 5.

Abstract

Impairments of executive brain function after traumatic brain injury (TBI) due to head impacts in traffic accidents need to be obviated. Finite element (FE) analyses with a human brain model facilitate understanding of the TBI mechanisms. However, conventional brain FE models do not suitably describe the anatomical structure in the deep brain, which is a critical region for executive brain function, and the material properties of brain parenchyma. In this study, for better TBI prediction, a novel brain FE model with anatomical structure in the deep brain was developed. The developed model comprises a constitutive model of brain parenchyma considering anisotropy and strain rate dependency. Validation was performed against postmortem human subject test data associated with brain deformation during head impact. Brain injury analyses were performed using head acceleration curves obtained from reconstruction analysis of rear-end collision with a human whole-body FE model. The difference in structure was found to affect the regions of strain concentration, while the difference in material model contributed to the peak strain value. The injury prediction result by the proposed model was consistent with the characteristics in the neuroimaging data of TBI patients due to traffic accidents.

摘要

需要避免因头部撞击交通事故导致的创伤性脑损伤 (TBI) 后执行脑功能障碍。采用人体大脑模型的有限元 (FE) 分析有助于理解 TBI 机制。然而,传统的大脑 FE 模型不能很好地描述深部大脑的解剖结构,而深部大脑是执行脑功能的关键区域,并且不能很好地描述大脑实质的材料特性。在这项研究中,为了更好地进行 TBI 预测,开发了一种具有深部大脑解剖结构的新型大脑 FE 模型。所开发的模型包括考虑各向异性和应变率相关性的大脑实质本构模型。通过与头部撞击过程中大脑变形相关的人体尸体测试数据进行验证。使用从人体全身 FE 模型的追尾碰撞重建分析中获得的头部加速度曲线进行脑损伤分析。结果发现,结构差异会影响应变集中区域,而材料模型的差异会导致峰值应变值。所提出模型的损伤预测结果与交通事故导致 TBI 患者的神经影像学数据特征一致。

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