Design and simulation of blocked blood vessel for early detection of heart diseases

Garje, Apoorva; Adhav, Yashwant G.; Bodas, Dhananjay

doi:10.1109/ispts.2015.7220113

Cited by 8 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wang et al [30] present haemodynamic metrics found in aortic dissection and quantitative indexes for optimal treatment planning. Moreover, Garje et al [31] observed numerical changes in vessels' blood flow and their growth due to an accumulation of cholesterol in coronary artery disease (CAD). Methods for observing geometry and blood flow through an abdominal aortic aneurism allow timely prediction of aneurism ruptures and are described by Canchi [32].…”

Section: Prior Aorta Simulation Methodsmentioning

confidence: 99%

Automating Blood Flow Simulation Through the Aorta in Patient-specific CT Images

Habijan¹,

Galić²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Computational fluid dynamics (CFD) modeling of blood flow is significant for obtaining patient-specific hemodynamics information for functional assessment of the cardiovascular system.In this work, we present a framework for fully automatic CFD simulation through the aorta. The proposed framework consists of four main stages: (1) automatic segmentation of the aorta, (2) model generation, (3) mesh creation, and (4) blood flow simulation. In the segmentation part, we utilized a 3D MultiResUnet network for automatic segmentation of organs at risk from the CodaLab SegThor Challenge. After that, we extract ascending and descending aorta and further proceed with model and mesh generation. Finally, we simulate the pressure along the surface of the aorta, the displacement, and the velocity. The entire framework 1 was implemented in Python with open-sourced dependencies (Pytorch, VTK, SimVascular, SimpleITK), can be executed from the command line, and does not require user intervention, significantly reducing aorta simulation time.

show abstract

Section: Prior Aorta Simulation Methodsmentioning

confidence: 99%

Automating Blood Flow Simulation Through the Aorta in Patient-specific CT Images

Habijan¹,

Galić²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…However, the simplicity of the model allows for further refinements in order to model different conditions including blood loss and haemorrhagic shock. A similar study [4] presented a two-dimensional modelling and simulation of blood vessel using COMSOL Multiphysics. The rationale behind the study is that mathematical modelling and numerical simulation can lead to better understanding of the phenomena involved in vascular diseases.…”

Section: Introductionmentioning

confidence: 99%

Modelling and simulation of myocardial infarction in the human cardiovascular system

2019

View full text Add to dashboard Cite

Modelling the physiological processes leading to myocardial infarction can help ameliorate the severity of the condition by improving early detection. Thus, the aim of this study was to model the cardiovascular system and simulate its response to myocardial infarction. Two methods were deployed for this simulation. The first method is the Computational Fluid Mechanics approach, simulated using Mathematica and the solutions of the resulting equations were obtained using Differential Transform Method. The second method is the Lumped Parameter method, simulated using MATLAB/Simulink. With Computational Fluid Mechanics, at 0% blockage within the arteries, no significant stress on the arterial wall was observed. At 10% and 50% blockage levels, a gradual increase in stress from the inlet through the entire arteries' length was observed. 100% blockage resulted in an exponential increase in the stress. A similar output was seen with the Lumped Parameter approach. The blood flow decreases rapidly and reaches zero at a pressure of about 170mmHg. The responses of the different arteries to myocardial infarction as simulated can be applied in the early detection of heart diseases.

show abstract

“…However, these observations were only predicted numerically. Garje et al [26] studied numerically the changes in blood flow vessels and the growth of a blockage, which is an occlusion of the coronary arteries typical of coronary artery disease (CAD), due to an accumulation of cholesterol. Their work was focused on the size and position of the blockage.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of the Blood Flow in a Deformable Human Aorta

2019

View full text Add to dashboard Cite

In this work, we present a numerical investigation of blood flow in a portion of the human vascular system. More precisely, the present work analyzed the blood flow in the upper portion of the aorta. The aorta and its ramified blood vessels are surrounded by the cardiac muscle. The blood flow generates pressure on the internal surfaces of the artery and its ramifications, thereby causing deformation of the cardiac muscle. The numerical analysis used the Navier–Stokes equations as the governing equations of blood flow for the calculation of the velocity field and pressure distribution in the blood. The neo-Hookean hyperelastic model was used for the description of the behavior of the vessel walls. The velocity and pressure distributions were analyzed. The deformation of the vessel was also investigated. The numerical results could be used to better understand and predict the factors that trigger cardiovascular diseases and distortions of the aorta and as a diagnostic tool in clinical applications.

show abstract

Design and simulation of blocked blood vessel for early detection of heart diseases

Cited by 8 publications

References 1 publication

Automating Blood Flow Simulation Through the Aorta in Patient-specific CT Images

Automating Blood Flow Simulation Through the Aorta in Patient-specific CT Images

Modelling and simulation of myocardial infarction in the human cardiovascular system

Numerical Study of the Blood Flow in a Deformable Human Aorta

Contact Info

Product

Resources

About