M. Ramzanpour, Mohammad Hosseini-Farid, M. Ziejewski, G. Karami
{"title":"Microstructural Hyperelastic Characterization of Brain White Matter in Tension","authors":"M. Ramzanpour, Mohammad Hosseini-Farid, M. Ziejewski, G. Karami","doi":"10.1115/imece2019-11549","DOIUrl":null,"url":null,"abstract":"\n Axons as microstructural constituent elements of brain white matter are highly oriented in extracellular matrix (ECM) in one direction. Therefore, it is possible to model the human brain white matter as a unidirectional fibrous composite material. A micromechanical finite element model of the brain white matter is developed to indirectly measure the brain white matter constituents’ properties including axon and ECM under tensile loading. Experimental tension test on corona radiata conducted by Budday et al. 2017 [1] is used in this study and one-term Ogden hyperelastic constitutive model is applied to characterize its behavior. By the application of genetic algorithm (GA) as a black box optimization method, the Ogden hyperelastic parameters of axon and ECM minimizing the error between numerical finite element simulation and experimental results are measured. Inverse analysis is conducted on the resultant optimized parameters shows high correlation of coefficient (>99%) between the numerical and experimental data which verifies the accuracy of the optimization procedure. The volume fraction of axons in porcine brain white matter is taken to be 52.7% and the stiffness ratio of axon to ECM is perceived to be 3.0. As these values are not accurately known for human brain white matter, we study the material properties of axon and ECM for different stiffness ratio and axon volume fraction values. The results of this study helps to better understand the micromechanical structure of the brain and micro-level injuries such as diffuse axonal injury.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 3: Biomedical and Biotechnology Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece2019-11549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Axons as microstructural constituent elements of brain white matter are highly oriented in extracellular matrix (ECM) in one direction. Therefore, it is possible to model the human brain white matter as a unidirectional fibrous composite material. A micromechanical finite element model of the brain white matter is developed to indirectly measure the brain white matter constituents’ properties including axon and ECM under tensile loading. Experimental tension test on corona radiata conducted by Budday et al. 2017 [1] is used in this study and one-term Ogden hyperelastic constitutive model is applied to characterize its behavior. By the application of genetic algorithm (GA) as a black box optimization method, the Ogden hyperelastic parameters of axon and ECM minimizing the error between numerical finite element simulation and experimental results are measured. Inverse analysis is conducted on the resultant optimized parameters shows high correlation of coefficient (>99%) between the numerical and experimental data which verifies the accuracy of the optimization procedure. The volume fraction of axons in porcine brain white matter is taken to be 52.7% and the stiffness ratio of axon to ECM is perceived to be 3.0. As these values are not accurately known for human brain white matter, we study the material properties of axon and ECM for different stiffness ratio and axon volume fraction values. The results of this study helps to better understand the micromechanical structure of the brain and micro-level injuries such as diffuse axonal injury.
轴突作为脑白质的微观结构组成元素,在细胞外基质(ECM)中具有高度的单向定向。因此,将人脑白质建模为单向纤维复合材料是可能的。建立了脑白质微力学有限元模型,以间接测量脑白质在拉伸载荷作用下轴突和脑外基质等脑白质组分的特性。本研究采用Budday et al. 2017[1]对日冕辐射进行的实验拉伸试验,采用一项Ogden超弹性本构模型表征其行为。采用遗传算法(GA)作为黑盒优化方法,测量了轴突和ECM的奥格登超弹性参数,使数值有限元模拟与实验结果的误差最小。对优化后的参数进行了反分析,结果表明,数值与实验数据具有较高的相关系数(>99%),验证了优化过程的准确性。计算得出猪脑白质中轴突的体积分数为52.7%,轴突与脑外膜的刚度比为3.0。由于这些数值对于人脑白质来说并不准确,我们研究了不同刚度比和轴突体积分数值下轴突和脑外基质的材料特性。本研究结果有助于更好地了解脑的微观力学结构和弥漫性轴索损伤等微观损伤。