CFD Study on Effect of Branch Sizes in Human Coronary Arteries

2011 ◽  
Author(s):  
Liza Shrestha ◽  
Justin Garvin ◽  
Richard W. Downe ◽  
Milan Sonka ◽  
Andreas Wahle ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Coronary Artery Disease ◽  
Blood Flow ◽  
Shear Stress ◽  
Causes Of Death ◽  
Developed Countries ◽  
Unidirectional Flow ◽  
Computational Fluid Dynamics Cfd ◽  
Artery Disease ◽  
Blood Flow Patterns

Coronary Artery Disease (CAD) is one of the leading causes of death in developed countries. The link between Wall Shear Stress (WSS) and CAD development is well established, with studies indicating the accumulation of lesions in regions of low WSS, flow separation, and in the regions where there is departure from axially aligned unidirectional flow [5]. It has been well established that blood flow patterns are highly affected by branch flows, as bifurcations are one of the leading locations of plaque accumulation [5]. Computational fluid dynamics (CFD) is an important tool for quantifying hemodynamics.

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.

scholarly journals Data-Driven Sonification of CFD Aneurysm Models

2018 ◽  
Author(s):  
Daniel E. MacDonald ◽  
Thangam Natarajan ◽  
Richard C. Windeyer ◽  
Peter Coppin ◽  
David A. Steinman
Keyword(s):  
Fluid Dynamics ◽  
Blood Flow ◽  
Cerebral Aneurysms ◽  
Spatiotemporal Data ◽  
Data Driven ◽  
Flow Fluctuations ◽  
Novel Method ◽  
Computational Fluid Dynamics Cfd ◽  
Flow Visualizations ◽  
Blood Flow Patterns

A novel method is presented for inspecting and characterizing turbulent-like hemodynamic structures in intracranial cerebral aneurysms by sonification of data generated using Computational Fluid Dynamics (CFD). The intention of the current research is to intuitively communicate flow complexity by augmenting conventional flow visualizations with data-driven sound, thereby increasing the ease of interpretation of dense spatiotemporal data through multimodal presentation. The described implementation allows the user to listen to flow fluctuations thought to indicate turbulent-like blood flow patterns that are often visually difficult to discriminate in conventional flow visualizations.

Blood flow patterns in the thoracic aorta studied with three-directional MR velocity mapping: The effects of age and coronary artery disease

1997 ◽  
Vol 7 (5) ◽  
pp. 784-793 ◽  
Author(s):  
Hugo G. Bogren ◽  
Raad H. Mohiaddin ◽  
Philip J. Kilner ◽  
Luis J. Jimenez-Borreguero ◽  
Guang Z. Yang ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Blood Flow ◽  
Coronary Artery ◽  
Thoracic Aorta ◽  
Flow Patterns ◽  
Velocity Mapping ◽  
Artery Disease ◽  
Blood Flow Patterns

Efficiency prediction for storage chambers using computational fluid dynamics

1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Particle Tracking ◽  
Critical Value ◽  
Complex Geometries ◽  
Bed Shear Stress ◽  
Breadth Ratio ◽  
Computational Fluid Dynamics Cfd ◽  
Simulated Flow

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

Redistribution of Myocardial Blood Flow With Topical Nitroglycerin in Patients With Coronary Artery Disease

Circulation ◽  
1995 ◽  
Vol 91 (5) ◽  
pp. 1381-1388 ◽  
Author(s):  
Ernest L. Fallen ◽  
Claude Nahmias ◽  
Anita Scheffel ◽  
Geoff Coates ◽  
Rob Beanlands ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Blood Flow ◽  
Coronary Artery ◽  
Myocardial Blood Flow ◽  
Artery Disease ◽  
Topical Nitroglycerin
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