Transient Simulation of the Blood Flow in the thoracic Aorta based on MRI-Data by Fluid-Structure-Interaction

Bongert, Markus; Geller, Marius; Pennekamp, Werner; Roggenland, D.; Nicolas, Volkmar

doi:10.1007/978-3-540-89208-3_627

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…5, 461-473, http://dx.doi.org/10.1080/10255842.2012 detailed understanding of the human vascular pathophysiology (Giannakoulas et al 2005). Computational fluid dynamics (CFD) methods provide a versatile and accurate means of simulating the complicated haemodynamics in the human cardiovascular circulatory system and predicting the regions of high and low WSS (Mori and Yamaguchi 2002;Shahcheraghi et al 2002;DeGroff et al 2003;Jin et al 2003;Morris et al 2005;Nakamura et al 2006;Bongert et al 2008;Kim et al 2008Kim et al , 2009Yang et al 2008;Tan et al 2009b;Wen et al 2010;LaDisa et al 2011). For example, Tang et al (2003) used an fluidstructure interaction (FSI) model to examine the effect of stenosis asymmetry on blood flow and artery compression.…”

Section: Introductionmentioning

confidence: 98%

An innovative numerical approach to resolve the pulse wave velocity in a healthy thoracic aorta model

Yang

Wen

Tseng

et al. 2012

Computer Methods in Biomechanics and Biomedical Engineering

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Aortic dissection and atherosclerosis are highly fatal diseases. The development of both diseases is closely associated with highly complex haemodynamics. Thus, in predicting the onset of cardiac disease, it is desirable to obtain a detailed understanding of the flowfield characteristics in the human cardiovascular circulatory system. Accordingly, in this study, a numerical model of a normal human thoracic aorta is constructed using the geometry information obtained from a phase-contrast magnetic resonance imaging (PC-MRI) technique. The interaction between the blood flow and the vessel wall dynamics is then investigated using a coupled fluid-structure interaction (FSI) analysis. The simulations focus specifically on the flowfield characteristics and pulse wave velocity (PWV) of the blood flow. Instead of using a conventional PC-MRI method to measure PWV, we present an innovative application of using the FSI approach to numerically resolve PWV for the assessment of wall compliance in a thoracic aorta model. The estimated PWV for a normal thoracic aorta agrees well with the results obtained via PC-MRI measurement. In addition, simulations which consider the FSI effect yield a lower predicted value of the wall shear stress at certain locations in the cardiac cycle than models which assume a rigid vessel wall. Consequently, the model provides a suitable basis for the future development of more sophisticated methods capable of performing the computer-aided analysis of aortic blood flows.

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Section: Introductionmentioning

confidence: 98%

An innovative numerical approach to resolve the pulse wave velocity in a healthy thoracic aorta model

Yang

Wen

Tseng

et al. 2012

Computer Methods in Biomechanics and Biomedical Engineering

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Methodological inaccuracies in clinical aortic valve severity assessment: insights from computational fluid dynamic modeling of CT-derived aortic valve anatomy

Traeger

Srivatsa²,

Beussman

et al. 2015

Theor. Comput. Fluid Dyn.

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Influence of malformation of right coronary artery originating from the left sinus in hemodynamic environment

Cong

Qiu

et al. 2020

BioMed Eng OnLine

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Background: The anomalous origin of the right coronary artery (RCA) from the left coronary artery sinus (AORL) is one of the abnormal origins of the coronary arteries. Most of these issues rarely have any effects on human health, but some individuals may exhibit symptoms, such as myocardial ischemia or even sudden death. Recently, researchers have investigated the AORL through clinical cases, but studies based on computational fluid dynamics (CFD) have rarely been reported. In this study, the hemodynamic changes between the normal origin of the RCA and the AORL are compared based on numerical simulation results. Methods: Realistic three-dimensional (3D) models of the 16 normal right coronary arteries and 26 abnormal origins of the RCAs were constructed, respectively. The blood flow was numerically simulated using the ANSYS software. This study used a one-way fluid-solid coupling finite element model, wherein the blood is assumed to be an incompressible Newtonian fluid, and the vessel is assumed to be made of an isotropic linear elastic material. Results: The cross-sectional area differences between the inlet of the normal group and that of the abnormal group were significant (P < 0.0001). Moreover, there were significant differences in the volumetric flow (P = 0.0001) and pressure (P = 0.0002). Positive correlation exists for the ratio of the cross-sectional area of the RCA to the inlet area of the ascending aorta (AAO), and the ratio of the inlet volumetric flow of the RCA to the volumetric flow of the AAO, in the normal (P = 0.0001, r = 0.8178) and abnormal (P = 0.0033, r = 0.6107) groups. Conclusion: This study demonstrates that the cross-sectional area of the AORL inlet may cause ischemia symptoms. The results obtained by this study may contribute to the further understanding of the clinical symptoms of the AORL based on the hemodynamics.

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Transient Simulation of the Blood Flow in the thoracic Aorta based on MRI-Data by Fluid-Structure-Interaction

Cited by 4 publications

References 2 publications

An innovative numerical approach to resolve the pulse wave velocity in a healthy thoracic aorta model

An innovative numerical approach to resolve the pulse wave velocity in a healthy thoracic aorta model

Methodological inaccuracies in clinical aortic valve severity assessment: insights from computational fluid dynamic modeling of CT-derived aortic valve anatomy

Influence of malformation of right coronary artery originating from the left sinus in hemodynamic environment

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