Flamini Vittoria, Creane Arthur P, Kerskens Christian M, Lally Caitríona
New York University Polytechnic School of Engineering, Brooklyn, NY, United States; School of Mechanical & Manufacturing Engineering, Dublin City University, Dublin, Ireland.
School of Mechanical & Manufacturing Engineering, Dublin City University, Dublin, Ireland.
Med Eng Phys. 2015 Jan;37(1):48-54. doi: 10.1016/j.medengphy.2014.10.006. Epub 2014 Nov 6.
Characterization of the mechanical properties of arterial tissues usually involves an invasive procedure requiring tissue removal. In this work we propose a non-invasive method to perform a biomechanical analysis of cardiovascular aortic tissue. This method is based on combining medical imaging and finite element analysis (FEA). Magnetic resonance imaging (MRI) was chosen since it presents relatively low risks for human health. A finite element model was created from the MRI images and loaded with systolic physiological pressures. By means of an optimization routine, the structural material properties were changed until average strains matched those measured by MRI. The method outlined in this work produced an estimate of the in situ properties of cardiovascular tissue based on non-invasive image datasets and finite element analysis.
动脉组织力学特性的表征通常涉及一种需要去除组织的侵入性程序。在这项工作中,我们提出了一种对心血管主动脉组织进行生物力学分析的非侵入性方法。该方法基于医学成像和有限元分析(FEA)的结合。选择磁共振成像(MRI)是因为它对人体健康的风险相对较低。从MRI图像创建了一个有限元模型,并加载了收缩期生理压力。通过优化程序,改变结构材料特性,直到平均应变与MRI测量的应变相匹配。这项工作中概述的方法基于非侵入性图像数据集和有限元分析,对心血管组织的原位特性进行了估计。