The numerical analysis of non-Newtonian blood flow in human patient-specific left ventricle. Issue 127 (April 2016)

• Record Type: Journal Article
• Authors: Doost, Siamak N.; Zhong, Liang; Su, Boyang; Morsi, Yosry S.
• Is Part Of: Computer methods and programs in biomedicine. Issue 127(2016)
• Page Start: 232
• Page End: 247
• Publication Date: 2016-04
• Subjects: ALE arbitrary Lagrangian–Eulerian -- CFD computational fluid dynamics -- CT computed tomography -- CVDs cardiovascular diseases -- EDV end-diastolic volume -- EF ejection fraction -- ESV end-systolic volume -- FSI fluid–structure interaction -- HF heart failure -- LV left ventricle -- MRI magnetic resonance image -- RMSE root-mean-square error -- SV stroke volume -- UDF user-defined function -- USI ultrasound imaging -- WSS wall shear stress; Left ventricle -- Hemodynamics -- Non-Newtonian -- Shear rates -- Computational fluid dynamics -- Fluid–structure interaction; Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.12.020
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: Aim: investigate the effect of different rheological models of blood within the LV. Model: the MRI images are used to reconstruct the time-resolved geometry of LV. Finding: the non-Newtonian assumption is significant on the LV flow dynamics. Abstract: Recently, various non-invasive tools such as the magnetic resonance image (MRI), ultrasound imaging (USI), computed tomography (CT), and the computational fluid dynamics (CFD) have been widely utilized to enhance our current understanding of the physiological parameters that affect the initiation and the progression of the cardiovascular diseases (CVDs) associated with heart failure (HF). In particular, the hemodynamics of left ventricle (LV) has attracted the attention of the researchers due to its significant role in the heart functionality. In this study, CFD owing its capability of predicting detailed flow field was adopted to model the blood flow in images-based patient-specific LV over cardiac cycle. In most published studies, the blood is modeled as Newtonian that is not entirely accurate as the blood viscosity varies with the shear rate in non-linear manner. In this paper, we studied the effect of Newtonian assumption on the degree of accuracy of intraventricular hemodynamics. In doing so, various non-Newtonian models and Newtonian model are used in the analysis of the intraventricular flow and the viscosity of the blood. Initially, we used the cardiac MRI images to reconstruct the time-resolved geometry of the patient-specific LV. After the unstructured mesh generation, the simulations were conducted in the CFD commercial solver FLUENT to analyze the intraventricular hemodynamic parameters. The findings indicate that the Newtonian assumption cannot adequately simulate the flow dynamic within the LV over the cardiac cycle, which can be attributed to the pulsatile and recirculation nature of the flow and the low blood shear rate.