Literature DB >> 33090334

Characterization of anisotropic turbulence behavior in pulsatile blood flow.

Magnus Andersson1, Matts Karlsson2.   

Abstract

Turbulent-like hemodynamics with prominent cycle-to-cycle flow variations have received increased attention as a potential stimulus for cardiovascular diseases. These turbulent conditions are typically evaluated in a statistical sense from single scalars extracted from ensemble-averaged tensors (such as the Reynolds stress tensor), limiting the amount of information that can be used for physical interpretations and quality assessments of numerical models. In this study, barycentric anisotropy invariant mapping was used to demonstrate an efficient and comprehensive approach to characterize turbulence-related tensor fields in patient-specific cardiovascular flows, obtained from scale-resolving large eddy simulations. These techniques were also used to analyze some common modeling compromises as well as MRI turbulence measurements through an idealized constriction. The proposed method found explicit sites of elevated turbulence anisotropy, including a broad but time-varying spectrum of characteristics over the flow deceleration phase, which was different for both the steady inflow and Reynolds-averaged Navier-Stokes modeling assumptions. Qualitatively, the MRI results showed overall expected post-stenotic turbulence characteristics, however, also with apparent regions of unrealizable or conceivably physically unrealistic conditions, including the highest turbulence intensity ranges. These findings suggest that more detailed studies of MRI-measured turbulence fields are needed, which hopefully can be assisted by more comprehensive evaluation tools such as the once described herein.

Entities:  

Keywords:  Barycentric anisotropy invariant map; MRI turbulence measurements; Patient-specific scale-resolved computational hemodynamics; Reynolds stress and dissipation tensor; Verification and validation

Year:  2020        PMID: 33090334      PMCID: PMC7979666          DOI: 10.1007/s10237-020-01396-3

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  23 in total

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Journal:  J Biomech       Date:  2016-12-31       Impact factor: 2.712

5.  Validation of pressure drop assessment using 4D flow MRI-based turbulence production in various shapes of aortic stenoses.

Authors:  Hojin Ha; John-Peder Kvitting; Petter Dyverfeldt; Tino Ebbers
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Authors:  Mohammad M Faghih; M Keith Sharp
Journal:  Biomech Model Mechanobiol       Date:  2018-01-03

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Authors:  Brenda R Kwak; Magnus Bäck; Marie-Luce Bochaton-Piallat; Giuseppina Caligiuri; Mat J A P Daemen; Peter F Davies; Imo E Hoefer; Paul Holvoet; Hanjoong Jo; Rob Krams; Stephanie Lehoux; Claudia Monaco; Sabine Steffens; Renu Virmani; Christian Weber; Jolanda J Wentzel; Paul C Evans
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Journal:  J Cardiovasc Magn Reson       Date:  2015-08-10       Impact factor: 5.364

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  1 in total

1.  In-vitro and In-Vivo Assessment of 4D Flow MRI Reynolds Stress Mapping for Pulsatile Blood Flow.

Authors:  Hojin Ha; Hyung Kyu Huh; Kyung Jin Park; Petter Dyverfeldt; Tino Ebbers; Dae-Hee Kim; Dong Hyun Yang
Journal:  Front Bioeng Biotechnol       Date:  2021-12-07
  1 in total

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