arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.03527math.NAcs.NA

存在LVAD设备的患者特异性主动脉血流的非侵入式PODI-ROM

Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device

Michele Girfoglio, Francesco Ballarin, Giuseppe Infantino, Francesca Nicolò, Andrea Montalto, Gianluigi Rozza, Roberto Scrofani, Marina Comisso, Francesco Musumeci

AI总结:

本研究针对左心室辅助装置(LVAD)引起的主动脉血流改变,提出一种基于PODI方法的非侵入式降阶模型,结合患者特异性CT影像与临床数据构建多尺度全阶模型,验证了该降阶模型在LVAD流率参数化研究中的准确性。

摘要:

左心室辅助装置(LVADs)用于为患有严重心力衰竭的患者提供血流动力学支持。由于主动脉区域血流的改变,可能会发生严重的并发症。在本研究中,通过使用本征正交分解插值(PODI)方法构建的非侵入式降阶模型(ROM),研究了连续流LVAD设备对主动脉血流的影响。全阶模型(FOM)由使用有限体积(FV)技术离散化的不可压缩Navier-Stokes方程表示,并在多尺度方法中与三元素Windkessel模型耦合以施加出口边界条件。提出了一种患者特异性框架:使用从计算机断层扫描(CT)图像重建的个性化几何结构,并且三元素Windkessel模型系数的个体化基于右心导管插入术(RCH)和超声心动图(ECHO)测试提供的实验数据。为了进一步验证模型,在FOM级别还考虑了术前配置。考虑了关于LVAD流率的参数化研究。降阶模型的准确性通过与全阶模型获得的结果进行对比来评估。

英文摘要:

Left ventricular assist devices (LVADs) are used to provide haemodynamic support to patients with critical cardiac failure. Severe complications can occur because of the modifications of the blood flow in the aortic region. In this work, the effect of a continuous flow LVAD device on the aortic flow is investigated by means of a non-intrusive reduced order model (ROM) built using the proper orthogonal decomposition with interpolation (PODI) method. The full order model (FOM) is represented by the incompressible Navier-Stokes equations discretized by using a Finite Volume (FV) technique, coupled with three-element Windkessel models to enforce outlet boundary conditions in a multi-scale approach. A patient-specific framework is proposed: a personalized geometry reconstructed from Computed Tomography (CT) images is used and the individualization of the coefficients of the three-element Windkessel models is based on experimental data provided by the Right Heart Catheterization (RCH) and Echocardiography (ECHO) tests. Pre-surgery configuration is also considered at FOM level in order to further validate the model. A parametric study with respect to the LVAD flow rate is considered. The accuracy of the reduced order model is assessed against results obtained with the full order model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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