EFFECTS OF HEMATOCRIT VARIATION ON BLOOD FLOW IN A SEGMENT WITH ANEURYSM OF THE POSTERIOR CEREBRAL ARTERY

Chris Naguib; Amr  Guaily; Moustafa  Elhagri; Ahmed Elakhdar; Mohammed A.  Boraey; Mohamed Elshabrawy

doi:10.30572/2018/KJE/170312

Authors

Chris Naguib Smart Engineering Systems Research Center (Sesc), Nile University, Sheikh Zayed District, Giza, 12588, Egypt
Amr Guaily Smart Engineering Systems Research Center (Sesc), Nile University, Sheikh Zayed District, Giza, 12588, Egypt
Moustafa Elhagri Smart Engineering Systems Research Center (Sesc), Nile University, Sheikh Zayed District, Giza, 12588, Egypt
Ahmed Elakhdar Smart Engineering Systems Research Center (Sesc), Nile University, Sheikh Zayed District, Giza, 12588, Egypt
Mohammed A. Boraey Mechanical Power Engineering Department, Zagazig University, Zagazig, 44519, Egypt
Mohamed Elshabrawy Engineering Mathematics And Physics Department, Faculty of Engineering, Cairo University, Egypt

DOI:

https://doi.org/10.30572/2018/KJE/170312

Keywords:

Blood Flow, Posterior Cerebral Artery, Aneurysm, Shear Thinning, Hematocrit Variation

Abstract

This article provides a full numerical analysis of blood flow dynamics in a major vascular segment from the lateral surface of the cerebral peduncle to the posterior edge of the midbrain (P2P), which possessed an aneurysm that was identified at a point of bifurcation. In order to realistically model the non-Newtonian behavior of blood, with particular emphasis on its shear-thinning nature, the modified Krieger model 5 (MKM5) was utilized with physiologically realistic parameters. As it is not possible to have inflow data directly for the P2P segment, inlet flow waveform was reconstituted by employing the closest available pulsatile profile of the basilar artery.The results indicate that standard Carreau and basic Newtonian models are unable to adequately model the hemodynamic response in this complex geometry, but an approximation by a shear-rate-dependent Newtonian model, scaled to the local environment of shear rates, can achieve the accuracy of the more advanced MKM5 model. This result provides a possible simplification to computational fluid dynamics (CFD) simulations in similar research, which might reduce computer expenses without compromising predictive accuracy. These results enable patient-specific modeling strategies in cerebrovascular hemodynamics with specific emphasis on regions of high anatomical complexity and pathologic relevance

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