Parikh Shaiv, Moerman Kevin M, Ramaekers Mitch J F G, Schalla Simon, Bidar Elham, Delhaas Tammo, Reesink Koen, Huberts Wouter
Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, 6229 ER Maastricht, The Netherlands.
Department of Mechanical Engineering, University of Galway, H91 TK33 Galway, Ireland.
Bioengineering (Basel). 2023 Jul 17;10(7):846. doi: 10.3390/bioengineering10070846.
Mechanical properties of an aneurysmatic thoracic aorta are potential markers of future growth and remodelling and can help to estimate the risk of rupture. Aortic geometries obtained from routine medical imaging do not display wall stress distribution and mechanical properties. Mechanical properties for a given vessel may be determined from medical images at different physiological pressures using inverse finite element analysis. However, without considering pre-stresses, the estimation of mechanical properties will lack accuracy. In the present paper, we propose and evaluate a mechanical parameter identification technique, which recovers pre-stresses by determining the zero-pressure configuration of the aortic geometry. We first validated the method on a cylindrical geometry and subsequently applied it to a realistic aortic geometry. The verification of the assessed parameters was performed using synthetically generated reference data for both geometries. The method was able to estimate the true mechanical properties with an accuracy ranging from 98% to 99%.
胸主动脉瘤的力学特性是未来生长和重塑的潜在标志物,有助于估计破裂风险。从常规医学影像获得的主动脉几何形状无法显示壁应力分布和力学特性。给定血管的力学特性可通过逆有限元分析从不同生理压力下的医学影像中确定。然而,不考虑预应力,力学特性的估计将缺乏准确性。在本文中,我们提出并评估了一种力学参数识别技术,该技术通过确定主动脉几何形状的零压力构型来恢复预应力。我们首先在圆柱形几何形状上验证了该方法,随后将其应用于实际的主动脉几何形状。使用两种几何形状的合成生成参考数据对评估参数进行了验证。该方法能够以98%至99%的准确率估计真实的力学特性。