Literature DB >> 33829405

Analysis of Turbulence Effects in a Patient-Specific Aorta with Aortic Valve Stenosis.

Emily L Manchester1, Selene Pirola1, Mohammad Yousuf Salmasi2, Declan P O'Regan3, Thanos Athanasiou2, Xiao Yun Xu4.   

Abstract

Blood flow in the aorta is often assumed laminar, however aortic valve pathologies may induce transition to turbulence and our understanding of turbulence effects is incomplete. The aim of the study was to provide a detailed analysis of turbulence effects in aortic valve stenosis (AVS).
METHODS: Large-eddy simulation (LES) of flow through a patient-specific aorta with AVS was conducted. Magnetic resonance imaging (MRI) was performed and used for geometric reconstruction and patient-specific boundary conditions. Computed velocity field was compared with 4D flow MRI to check qualitative and quantitative consistency. The effect of turbulence was evaluated in terms of fluctuating kinetic energy, turbulence-related wall shear stress (WSS) and energy loss.
RESULTS: Our analysis suggested that turbulence was induced by a combination of a high velocity jet impinging on the arterial wall and a dilated ascending aorta which provided sufficient space for turbulence to develop. Turbulent WSS contributed to 40% of the total WSS in the ascending aorta and 38% in the entire aorta. Viscous and turbulent irreversible energy losses accounted for 3.9 and 2.7% of the total stroke work, respectively.
CONCLUSIONS: This study demonstrates the importance of turbulence in assessing aortic haemodynamics in a patient with AVS. Neglecting the turbulent contribution to WSS could potentially result in a significant underestimation of the total WSS. Further work is warranted to extend the analysis to more AVS cases and patients with other aortic valve diseases.

Entities:  

Keywords:  Aortic valve stenosis; Computational fluid dynamics; Energy loss; Kinetic energy; Large-eddy simulation; Turbulence; Wall shear stress

Year:  2021        PMID: 33829405     DOI: 10.1007/s13239-021-00536-9

Source DB:  PubMed          Journal:  Cardiovasc Eng Technol        ISSN: 1869-408X            Impact factor:   2.495


  7 in total

Review 1.  Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases.

Authors:  Yong He; Hannah Northrup; Ha Le; Alfred K Cheung; Scott A Berceli; Yan Tin Shiu
Journal:  Front Bioeng Biotechnol       Date:  2022-04-27

2.  Characterization of Turbulent Flow Behind a Transcatheter Aortic Valve in Different Implantation Positions.

Authors:  Leonardo Pietrasanta; Shaokai Zheng; Dario De Marinis; David Hasler; Dominik Obrist
Journal:  Front Cardiovasc Med       Date:  2022-01-13

3.  Evaluation of Computational Methodologies for Accurate Prediction of Wall Shear Stress and Turbulence Parameters in a Patient-Specific Aorta.

Authors:  Emily Louise Manchester; Selene Pirola; Mohammad Yousuf Salmasi; Declan P O'Regan; Thanos Athanasiou; Xiao Yun Xu
Journal:  Front Bioeng Biotechnol       Date:  2022-03-24

Review 4.  [Cardiovascular consequences of smoking : Imaging overview].

Authors:  Mathias Pamminger; Agnes Mayr
Journal:  Radiologie (Heidelb)       Date:  2022-06-20

5.  Synthesis of patient-specific multipoint 4D flow MRI data of turbulent aortic flow downstream of stenotic valves.

Authors:  Pietro Dirix; Stefano Buoso; Eva S Peper; Sebastian Kozerke
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

6.  Quantitative evaluation of aortic valve regurgitation in 4D flow cardiac magnetic resonance: at which level should we measure?

Authors:  Malgorzata Polacin; Julia Geiger; Barbara Burkhardt; Fraser M Callaghan; Emanuela Valsangiacomo; Christian Kellenberger
Journal:  BMC Med Imaging       Date:  2022-09-27       Impact factor: 2.795

7.  On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses.

Authors:  Simona Celi; Emanuele Vignali; Katia Capellini; Emanuele Gasparotti
Journal:  Front Med Technol       Date:  2021-12-01
  7 in total

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