On the importance of blood rheology for bulk flow in hemodynamic models of the carotid bifurcation

Simulated hemodynamics in human carotid bifurcation based on Doppler ultrasound data

“…The rheological behavior of blood was simulated considering a constant dynamic viscosity value of 0.0035 kg/(m.s), a reasonable assumption for bulk flow metrics [22,23]. Newtonian rheology is reasonable in the context of fluid precision and uncertainties related to boundary conditions [11,[23][24][25]. The volume-filling finite element meshes consisted of nearly 60000 quadratic hexahedral finite elements.…”

Reducing the data: Analysis of the role of vascular geometry on blood flow patterns in curved vessels

“…18,[24][25][26] Usually, 3D simulations produce such large quantities of data that they are unlikely to be of clinical use unless methods are available to simplify our understanding of the flow dynamics. For example, methods have been developed to identify and quantify bulk-flow features using helicity-based descriptors [27][28][29][30] and coherent structures. 25,[31][32][33] The aim of this work is to investigate the effect of vascular curvature and torsion on flow patterns and wall stresses in the idealised vessels shown in Fig.…”

Uncertainty propagation of phase contrast-MRI derived inlet boundary conditions in computational hemodynamics models of thoracic aorta

“…The subject is part of the data-set analyzed in Morbiducci et al (2011a). models: reconstructed vessel geometry (Sankaran & Marsden 2011;Sankaran et al 2015Sankaran et al , 2016, input and output BCs (Sankaran & Marsden 2011;Morbiducci et al 2013;Tiago et al 2014;Valen-Sendstad et al 2015;Schiavazzi et al 2016;Tran et al 2017), vessel distensibility and motion (Jin et al 2003;Zhao et al 2000;Eck et al 2016;Javadzadegan et al 2016) and rheological properties of blood (Lee & Steinman 2007;Morbiducci et al 2011b). In a recent study, the Authors reported a numerical experiment in which different possible strategies of applying PC-MRI measured flow data as BCs in computational hemodynamic models of healthy human aorta were implemented (Morbiducci et al 2013).…”