scholarly journals Microarterial anastomoses: A parameterised computational study examining the effect of suture position on intravascular blood flow

2016 ◽  
Vol 105 ◽  
pp. 141-148 ◽  
Author(s):  
R.A.J. Wain ◽  
D. Hammond ◽  
M. McPhillips ◽  
J.P.M. Whitty ◽  
W. Ahmed
Keyword(s):  
Blood Flow ◽  
Computational Study

Computational Study on the Effects of Peripheral Vessel Network on Blood Flow in the Arterial Circle of Willis

2007 ◽  
Author(s):  
Shigefumi Tokuda ◽  
Takeshi Unemura ◽  
Marie Oshima
Keyword(s):  
Numerical Simulation ◽  
Blood Flow ◽  
Boundary Conditions ◽  
Vascular System ◽  
Computational Study ◽  
Circulatory System ◽  
Biological Data ◽  
Patient Specific ◽  
Peripheral Vessel

Cerebrovascular disorder such as subarachnoid hemorrhage (SAH) is 3rd position of the cause of death in Japan [1]. Its initiation and growth are reported to depend on hemodynamic factors, particularly on wall shear stress or blood pressure induced by blood flow. In order to investigate the information on the hemodynamic quantities in the cerebral vascular system, the authors have been developing a computational tool using patient-specific modeling and numerical simulation [2]. In order to achieve an in vivo simulation of living organisms, it is important to apply appropriate physiological conditions such as physical properties, models, and boundary conditions. Generally, the numerical simulation using a patient-specific model is conducted for a localized region near the research target. Although the analysis region is only a part of the circulatory system, the simulation has to include the effects from the entire circulatory system. Many studies have carried out to derive the boundary conditions to model in vivo environment [3–5]. However, it is not easy to obtain the biological data of cerebral arteries due to head capsule.

scholarly journals Experimental and computational study on the effects of wearing neck collar on the carotid blood flow

2015 ◽  
Vol 3 (1) ◽  
pp. 27-34 ◽  
Author(s):  
Hamidreza Ghasemi Bahraseman ◽  
Bahareh Hamzehei ◽  
Karim Leilnahari ◽  
Arezoo Khosravi ◽  
Ehsan Mohseni Languri
Keyword(s):  
Blood Flow ◽  
Computational Study ◽  
Carotid Blood Flow

scholarly journals Spreading Depression in Focal Ischemia: A Computational Study

1998 ◽  
Vol 18 (9) ◽  
pp. 998-1007 ◽  
Author(s):  
Kenneth Revett ◽  
Eytan Ruppin ◽  
Sharon Goodall ◽  
James A. Reggia
Keyword(s):  
Blood Flow ◽  
Infarct Size ◽  
Spreading Depression ◽  
Computational Study ◽  
Metabolic Stress ◽  
Blood Flow Rate ◽  
Ischemic Penumbra ◽  
Infarct Core ◽  
Individual Wave ◽  
Final Infarct Size

When a cerebral infarction occurs, surrounding the core of dying tissue there usually is an ischemic penumbra of nonfunctional but still viable tissue. One current but controversial hypothesis is that this penumbra tissue often eventually dies because of the metabolic stress imposed by multiple cortical spreading depression (CSD) waves, that is, by ischemic depolarizations. We describe here a computational model of CSD developed to study the implications of this hypothesis. After simulated infarction, the model displays the linear relation between final infarct size and the number of CSD waves traversing the penumbra that has been reported experimentally, although damage with each individual wave progresses nonlinearly with time. It successfully reproduces the experimental dependency of final infarct size on midpenumbra cerebral blood flow and potassium reuptake rates, and predicts a critical penumbra blood flow rate beyond which damage does not occur. The model reproduces the dependency of CSD wave propagation on N-methyl-D-aspartate activation. It also makes testable predictions about the number, velocity, and duration of ischemic CSD waves and predicts a positive correlation between the duration of elevated potassium in the infarct core and the number of CSD waves. These findings support the hypothesis that CSD waves play an important causal role in the death of ischemic penumbra tissue.

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