Design of a polymeric cerebral aneurysm based on numerical modelling for the development of an aneurysm mechanical characterisation device

IF 2.8 Q2 MULTIDISCIPLINARY SCIENCES
Jolan Raviol, Guillaume Plet, Hélène Magoariec, Cyril Pailler-Mattei
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引用次数: 0

Abstract

Abstract Intracranial aneurysm is a life-threatening pathology related to the arterial wall alteration. As yet there is no method capable of predicting rupture risk based on quantitative in vivo mechanical data. This work is part of a large-scale project aimed at providing clinicians with a non-invasive patient-specific decision support tool, based on the in vivo mechanical characterisation of the aneurysm wall. First, an original wall deformation device was developed on polymeric phantom arteries. These artery models were obtained by 3D printing and an injection moulding process, each one showing pros and cons of designs of a biofidelic phantom in terms of thickness and local stiffness. A numerical modelling of this experimental study was built as a support for designing phantoms as design process choices and determining the geometrical and mechanical parameters of arteries. A numerical Fluid–Structure Interaction model based on the finite element method was developed. Several wall thicknesses, mechanical properties and deformation device locations were considered. Regarding the 3D printed phantom artery, the numerical model demonstrated that a thin wall thickness should be emphasised instead of a low Young’s modulus to reach a significant and experimentally observable strain. Regarding the injection moulded phantom, the results pointed to a locally reduced aneurysm thickness with a Young’s modulus of 0.7 MPa for the strain analysis. The numerical study provided helpful information regarding the scientific challenges of the experimental study. This work is the keystone of further animal studies and associated patient-specific models.
基于数值模拟的聚合物脑动脉瘤的设计,用于动脉瘤机械表征装置的开发
颅内动脉瘤是一种与动脉壁改变有关的危及生命的病理。到目前为止,还没有一种方法能够基于定量的体内力学数据来预测破裂风险。这项工作是一个大型项目的一部分,旨在为临床医生提供一种基于动脉瘤壁体内力学特征的非侵入性患者特异性决策支持工具。首先,在聚合物幻动脉上研制了一种原始的壁变形装置。这些动脉模型是通过3D打印和注射成型工艺获得的,每个模型在厚度和局部刚度方面都显示了生物神经模型设计的优点和缺点。建立了本实验研究的数值模型,作为设计工艺选择和确定动脉几何和力学参数的支撑。建立了基于有限元法的流固耦合数值模型。考虑了不同的壁厚、力学性能和变形装置的位置。对于3D打印的幻动脉,数值模型表明,应该强调薄壁厚度,而不是低杨氏模量,以达到显著的和实验可观察到的应变。对于注射模体,结果表明局部动脉瘤厚度减小,杨氏模量为0.7 MPa,用于应变分析。数值研究为实验研究的科学挑战提供了有用的信息。这项工作是进一步的动物研究和相关的患者特异性模型的基石。
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来源期刊
SN Applied Sciences
SN Applied Sciences MULTIDISCIPLINARY SCIENCES-
自引率
3.80%
发文量
292
审稿时长
22 weeks
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