Literature DB >> 27073110

Image-Based Simulations Show Important Flow Fluctuations in a Normal Left Ventricle: What Could be the Implications?

C Chnafa1,2, S Mendez3, F Nicoud3.   

Abstract

Intra-cardiac flow has been explored for decades but there is still no consensus on whether or not healthy left ventricles (LV) may harbour turbulent-like flow despite its potential physiological and clinical relevance. The purpose of this study is to elucidate if a healthy LV could harbour flow instabilities, using image-based computational fluid dynamics (CFD). 35 cardiac cycles were simulated in a patient-specific left heart model obtained from cardiovascular magnetic resonance (CMR). The model includes the valves, atrium, ventricle, papillary muscles and ascending aorta. We computed phase-averaged flow patterns, fluctuating kinetic energy (FKE) and associated frequency components. The LV harbours disturbed flow during diastole with cycle-to-cycle variations. However, phase-averaged velocity fields much resemble those of CMR measurements and usually reported CFD results. The peak FKE value occurs during the E wave deceleration and reaches 25% of the maximum phase-averaged flow kinetic energy. Highest FKE values are predominantly located in the basal region and their frequency content reach more than 200 Hz. This study suggests that high-frequency flow fluctuations in normal LV may be common, implying deficiencies in the hypothesis usually made when computing cardiac flows and highlighting biases when deriving quantities from velocity fields measured with CMR.

Entities:  

Keywords:  Atrium; LES; Left heart; Third sound; Turbulence; Turbulent kinetic energy

Mesh:

Year:  2016        PMID: 27073110     DOI: 10.1007/s10439-016-1614-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  10 in total

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2.  Development of a modeling pipeline for the prediction of hemodynamic outcome after virtual mitral valve repair using image-based CFD.

Authors:  Katharina Vellguth; Jan Brüning; Leonid Goubergrits; Lennart Tautz; Anja Hennemuth; Ulrich Kertzscher; Franziska Degener; Marcus Kelm; Simon Sündermann; Titus Kuehne
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-07-14       Impact factor: 2.924

3.  Numerical simulation of time-resolved 3D phase-contrast magnetic resonance imaging.

Authors:  Thomas Puiseux; Anou Sewonu; Ramiro Moreno; Simon Mendez; Franck Nicoud
Journal:  PLoS One       Date:  2021-03-26       Impact factor: 3.240

4.  Hemodynamic Abnormalities in the Aorta of Turner Syndrome Girls.

Authors:  Lauren Johnston; Ruth Allen; Pauline Hall Barrientos; Avril Mason; Asimina Kazakidi
Journal:  Front Cardiovasc Med       Date:  2021-06-01

5.  Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging.

Authors:  A M Bavo; A M Pouch; J Degroote; J Vierendeels; J H Gorman; R C Gorman; P Segers
Journal:  Biomed Eng Online       Date:  2016-09-09       Impact factor: 2.819

6.  Fully-coupled fluid-structure interaction simulation of the aortic and mitral valves in a realistic 3D left ventricle model.

Authors:  Wenbin Mao; Andrés Caballero; Raymond McKay; Charles Primiano; Wei Sun
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

7.  Left Ventricular Trabeculations Decrease the Wall Shear Stress and Increase the Intra-Ventricular Pressure Drop in CFD Simulations.

Authors:  Federica Sacco; Bruno Paun; Oriol Lehmkuhl; Tinen L Iles; Paul A Iaizzo; Guillaume Houzeaux; Mariano Vázquez; Constantine Butakoff; Jazmin Aguado-Sierra
Journal:  Front Physiol       Date:  2018-04-30       Impact factor: 4.566

Review 8.  Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities.

Authors:  Liang Zhong; Jun-Mei Zhang; Boyang Su; Ru San Tan; John C Allen; Ghassan S Kassab
Journal:  Front Physiol       Date:  2018-06-26       Impact factor: 4.566

9.  Impact of Pulmonary Venous Inflow on Cardiac Flow Simulations: Comparison with In Vivo 4D Flow MRI.

Authors:  Jonas Lantz; Vikas Gupta; Lilian Henriksson; Matts Karlsson; Anders Persson; Carl-Johan Carlhäll; Tino Ebbers
Journal:  Ann Biomed Eng       Date:  2018-10-24       Impact factor: 3.934

10.  Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy.

Authors:  Ivan Fumagalli; Piermario Vitullo; Christian Vergara; Marco Fedele; Antonio F Corno; Sonia Ippolito; Roberto Scrofani; Alfio Quarteroni
Journal:  Front Physiol       Date:  2022-01-06       Impact factor: 4.566

  10 in total

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