Cerebrovascular Hemodynamics

The study of cerebrovascular hemodynamics is vital to better understand life-threatening conditions such as brain aneurysm and stroke. With a generous grant from the Science and Technology Development Fund (STDF, Egypt), I have co-founded the Research Center for Computational Neurovascular Hemodynamics (RCCNB) with Alexandria University in 2013. As a visiting associate professor with the Biomedical Flow Dynamics Laboratory (Ohta-Lab) of IFS, Tohoku University, I am working to investigate the role of turbulence in the development of cerebrovascular disease. I have authored the largest-to-date meta-analysis and review of CFD studies of intracranial aneurysm​1​. In collaboration with the department of neurosurgical engineering and translational neuroscience of Tohoku University, I have co-discovered the hemodynamic causes of transient ischemic attack in early stage Moyamoya patients​2​. In order to advance the CFD theory and practice in cerebrovascular hemodynamics, I have proposed the use of Modified Krieger Model (MKM) for the first time as a quasi-mechanistic representation of blood viscosity​3​. I have also proposed the first in vivo evidence of the non-Newtonian physiologic behavior of intracranial blood flow​4​.


  1. 1.
    Saqr KM, Rashad S, Tupin S, et al. What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review. J Cereb Blood Flow Metab. Published online June 18, 2019:1021-1039. doi:10.1177/0271678×19854640
  2. 2.
    Rashad S, Saqr KM, Fujimura M, Niizuma K, Tominaga T. The hemodynamic complexities underlying transient ischemic attacks in early-stage Moyamoya disease: an exploratory CFD study. Sci Rep. Published online February 28, 2020. doi:10.1038/s41598-020-60683-2
  3. 3.
    Saqr KM. Computational fluid dynamics simulations of cerebral aneurysm using Newtonian, power-law and quasi-mechanistic blood viscosity models. Proc Inst Mech Eng H. Published online May 19, 2020:095441192091753. doi:10.1177/0954411920917531
  4. 4.
    Saqr KM, Mansour O, Tupin S, Hassan T, Ohta M. Evidence for non-Newtonian behavior of intracranial blood flow from Doppler ultrasonography measurements. Med Biol Eng Comput. Published online December 7, 2018:1029-1036. doi:10.1007/s11517-018-1926-9
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