CFD Model Development of Aortic Blood Flow Prediction
Location
Hager-Lubbers Exhibition Hall
Description
PURPOSE: The focus of this paper is on the model development for aortic blood flow in healthy cardiac patients. The particular emphasis of this paper is comparing three different aorta model refinement strategies for accurate blood flow prediction. METHODS AND MATERIALS: Computational Fluid Dynamics (CFD) can be used to investigate a number of different phenomena that occur during the cardiac cycle, such as blood flow and shear stress on the walls of the aorta. In order to accurately assess these cardiac behaviors, standard computational techniques were used. CFD typically consists of three major steps; pre-processing, solving, and post-processing. Pre-processing, or model development, has a significant effect on the accuracy and scope of the results of a CFD study. ANALYSES:
The models used were an optimized CT aorta model, an unrefined CT aorta model, and an idealized tube model. These models were investigated utilizing CFD to analyze blood flow distribution, velocity profiles, and wall shear stress distribution. RESULTS/CONCLUSIONS: From the model development it was determined that a smoothed representation of CT scan data most accurately represents the blood flow velocity and distribution, as well as aortic wall shear stresses. This model represents a basis for further refinement and application in clinical aortic blood flow research.
CFD Model Development of Aortic Blood Flow Prediction
Hager-Lubbers Exhibition Hall
PURPOSE: The focus of this paper is on the model development for aortic blood flow in healthy cardiac patients. The particular emphasis of this paper is comparing three different aorta model refinement strategies for accurate blood flow prediction. METHODS AND MATERIALS: Computational Fluid Dynamics (CFD) can be used to investigate a number of different phenomena that occur during the cardiac cycle, such as blood flow and shear stress on the walls of the aorta. In order to accurately assess these cardiac behaviors, standard computational techniques were used. CFD typically consists of three major steps; pre-processing, solving, and post-processing. Pre-processing, or model development, has a significant effect on the accuracy and scope of the results of a CFD study. ANALYSES:
The models used were an optimized CT aorta model, an unrefined CT aorta model, and an idealized tube model. These models were investigated utilizing CFD to analyze blood flow distribution, velocity profiles, and wall shear stress distribution. RESULTS/CONCLUSIONS: From the model development it was determined that a smoothed representation of CT scan data most accurately represents the blood flow velocity and distribution, as well as aortic wall shear stresses. This model represents a basis for further refinement and application in clinical aortic blood flow research.