Three-dimensional CFD Simulation of Blood Flow in Aortic Dissection

Wang, Qingdi; Guo, Xinwen; Poon, Eric; Ooi, Andrew; Lim, R. P.

doi:10.14264/5d0bea7

Cited by 2 publications

(2 citation statements)

References 18 publications

(22 reference statements)

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“…A plethora of methods for the simulation of blood pressure gradient of aortic coarctation models at rest and under exercise conditions were presented during the first and second Medical Image Computing and Computer-Assisted Intervention (MICCAI) CFD Challenge [28,29]. 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).…”

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

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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.

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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

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“…There were still many other strategies for improving numerical efficiency, for instance, new computational fluid dynamics (CFD) code (Hanka et al, 2014), hierarchical adaptive mesh refinement (HAMR) technique (Coirier and Bayyuk, 2002) and adaptive virtual cell embedding (VCE) method (Tang, 2007(Tang, , 2008. Wang et al (2017) proposed an overset grid meshing strategy based on a component view, which allows for idealized meshes in an automated fashion.…”

Section: Blast Wave Propagating In Complex Urban Areasmentioning

confidence: 99%

Review on quick safety assessment of building structures in complex urban environment after extreme explosion events

Shi

Ding

2022

International Journal of Protective Structures

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Extreme explosion events result in demands for emergency rescue service. From the civil engineering perspective, a quick safety assessment of building structures in the explosion’s vicinity will provide the emergency rescue committee with concrete support to make scientific decisions. In this paper, three primary issues, namely, inverse analysis of explosive characteristics, blast wave propagation in complex urban areas and blast-induced damage identification, are reviewed. These are often performed stepwise and form a multi-step whole to assist the emergency rescue service. The paper begins by introducing the inverse analysis of explosives based on craters, building damages and seismic or acoustic records. In this step, explosive characteristics, for example, charge type, original time, yield and location, could be produced and input into blast load calculation in the next step. Then, the existing literature on blast wave propagation and blast load determination is presented with close attention to complex urban environments. It shows that the current study remains in its infancy and relies on advancement in computational fluid dynamics (CFD). Besides, pressure–impulse (P-I) diagrams which predict the structural damage based on the calculated blast loads are illustrated. Onsite damage detection techniques, such as visual inspection, non-destructive testing (NDT) and vibration-based methods, are also discussed. The paper ends with a discussion of the shortcomings of previous work and the outlooks of further work.

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Three-dimensional CFD Simulation of Blood Flow in Aortic Dissection

Cited by 2 publications

References 18 publications

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

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

Review on quick safety assessment of building structures in complex urban environment after extreme explosion events

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