scholarly journals Numerical simulation of blood flow in Cerebral aneurysms using two-phase model

2021 ◽  
Vol 1 (1) ◽  
pp. 1-17
Author(s):  
Md Al Amin Sheikh
Keyword(s):  
Reynolds Number ◽  
Blood Flow ◽  
Flow Model ◽  
Cfd Simulation ◽  
Cerebral Aneurysms ◽  
Flow Simulation ◽  
Rupture Risk ◽  
Two Phase ◽  
Blood Flow Simulation ◽  
Risk Of Rupture

ABSTRACT: Computational fluid dynamic (CFD) simulation techniques have played an essential role in simulating and understanding the initiation, growth, and rupture of cerebral aneurysms. Hemodynamic parameters are mainly used to examine the rupture risk status of cerebral aneurysms using blood flow CFD simulation. Blood was considered as single-phase flow model with both Newtonian and non-Newtonian to predict the rupture risk analysis. However, to better understand predicting the risk of cerebral aneurysm rupture, blood requires two-phase, such as plasma and red blood cells (RBCs), also known as erythrocytes. In this study, the two-phase blood flow model was solved by the discrete phase model (DPM) with Lagrangian approach, in which blood was modeled two-phase fluid as a continuous phase plasma and particulate phase RBCs. Three patient-specific aneurysm geometries have been selected to determine wall shear stress (WSS), oscillatory shear index (OSI), and relative residence time (RRT) with two-phase blood flow simulation. To analyze the velocity distribution inside the aneurysms, velocity streamlines and surface velocities were reported. The pulsatile blood flow simulation was performed for aneurysm geometries, where the mean inlet Reynolds number was calculated between 490 and 1370. The value of WSS, OSI, and RRT was quantified based on the Reynolds number. Reynolds number's minimum value indicates the low WSS, low OSI, and short RRT, and the maximum value of Reynolds number shows the high WSS, high OSI, and long RRT. The high WSS, high OSI, and long RRT, velocity streamlines distribution, surface velocity changes were determined with two-phase blood in aneurysm geometries, aneurysm geometry one and three are the medium and giant size saccular aneurysm may have a higher risk of rupture while aneurysm geometry two is medium size fusiform aneurysm has a lower risk of rupture. The two-phase blood flow model presents reasonable hemodynamic parameters that correlate with aneurysms rupture risk prediction.

scholarly journals A Workflow for Patient-Individualized Virtual Angiogram Generation Based on CFD Simulation

2012 ◽  
Vol 2012 ◽  
pp. 1-24 ◽  
Author(s):  
Jürgen Endres ◽  
Markus Kowarschik ◽  
Thomas Redel ◽  
Puneet Sharma ◽  
Viorel Mihalef ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Blood Flow ◽  
Shear Stress ◽  
Cfd Simulation ◽  
Cerebral Aneurysms ◽  
Patient Specific ◽  
Hemodynamic Parameters ◽  
Risk Of Rupture ◽  
Computational Fluid Dynamics Cfd ◽  
Subsequent Comparison

Increasing interest is drawn on hemodynamic parameters for classifying the risk of rupture as well as treatment planning of cerebral aneurysms. A proposed method to obtain quantities such as wall shear stress, pressure, and blood flow velocity is to numerically simulate the blood flow using computational fluid dynamics (CFD) methods. For the validation of those calculated quantities, virtually generated angiograms, based on the CFD results, are increasingly used for a subsequent comparison with real, acquired angiograms. For the generation of virtual angiograms, several patient-specific parameters have to be incorporated to obtain virtual angiograms which match the acquired angiograms as best as possible. For this purpose, a workflow is presented and demonstrated involving multiple phantom and patient cases.

CFD Challenge: Solutions Using the Commercial Solver Fluent and the Open-Source Solver OpenFOAM

2012 ◽  
Author(s):  
P. Berg ◽  
G. Janiga ◽  
D. Thévenin
Keyword(s):  
Blood Flow ◽  
Cerebral Aneurysms ◽  
Flow Simulation ◽  
Patient Specific ◽  
Post Processing ◽  
Close Collaboration ◽  
Blood Flow Simulation ◽  
Unsteady Blood Flow ◽  
Commercial Solver ◽  
Considerable Experience

During the last decade, the research group in Magdeburg investigated the hemodynamics in cerebral aneurysms in close collaboration with experts from the fields of visualization and neuroradiology. Thanks to this, a considerable experience has been collected concerning unsteady blood flow simulation and analyses, involving a steadily increasing number of patient-specific aneurysms. Intermediate results have been presented at several VISC challenges. The simulations regarding this CFD Challenge as well as the post-processing have been carried out by the doctoral student Philipp Berg.

Virtual Training System with Physical Viscoelastic Model and Blood Flow Simulation Based on a Range-Based SPH Method

2015 ◽  
Vol 25 ◽  
pp. 41-53 ◽  
Author(s):  
Yi Dong Bao ◽  
Dong Mei Wu
Keyword(s):  
Blood Flow ◽  
Soft Tissue ◽  
Flow Simulation ◽  
Training System ◽  
Sph Method ◽  
Viscoelastic Creep ◽  
Blood Flow Simulation ◽  
Tissue Cutting ◽  
Creep Characteristics ◽  
Cutting Model

A physical mesh-less soft tissue cutting model with the viscoelastic creep characteristics has been proposed in this paper. The model is composed of filled spheres which are connected by Kelvin structure, so as to realize the cutting with viscoelastic creep characteristics. Then, it is further compared with the mass spring model in order to verify the effectiveness of the model. Secondly, a range-based Smoothed Particle Hydrodynamics (SPH) method with variable smoothing length is proposed, in order to simulate the blood flow simulation effect in the virtual surgery training system. Finally, the two are combined to be applied to the kidney soft tissue cutting experiment in surgery trainings. Experiments show there is a significant improvement on the cutting and simulation effect in terms of the viscoelasticity of the soft tissue cutting and the pressure and viscous force of blood flow.

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