Literature DB >> 17045876

Reliable CFD-based estimation of flow rate in haemodynamics measures.

Raffaele Ponzini1, Christian Vergara, Alberto Redaelli, Alessandro Veneziani.   

Abstract

Physically useful measures in current clinical practice refer often to the blood flow rate, that is related to the mean velocity. However, the direct measurement of the latter is currently not possible using a Doppler velocimetry technique. Therefore, the usual approach to calculate the flow rate with this technique consists in measuring the maximum velocity and in estimating the mean velocity, making the hypothesis of parabolic profile that in realistic situations results in strongly inaccurate estimates. In this paper, we propose a different way for estimating the flow rate regarded as a function of maximum velocity and Womersley number. This relation is obtained by fixing a parametrised representation and by evaluating the parameters by means of a least-square approach working on the numerical results of CFD simulations (about 200). Numerical simulations are carried out by prescribing the flow rate, not the velocity profile. In this way, no bias is implicitly induced in prescribing boundary conditions. Validation tests based on numerical simulations show that the proposed relation improves the flow rate estimation.

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Year:  2006        PMID: 17045876     DOI: 10.1016/j.ultrasmedbio.2006.05.022

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  6 in total

1.  Analysis of Inlet Velocity Profiles in Numerical Assessment of Fontan Hemodynamics.

Authors:  Zhenglun Alan Wei; Connor Huddleston; Phillip M Trusty; Shelly Singh-Gryzbon; Mark A Fogel; Alessandro Veneziani; Ajit P Yoganathan
Journal:  Ann Biomed Eng       Date:  2019-06-24       Impact factor: 3.934

2.  Validation of an open source framework for the simulation of blood flow in rigid and deformable vessels.

Authors:  T Passerini; A Quaini; U Villa; A Veneziani; S Canic
Journal:  Int J Numer Method Biomed Eng       Date:  2013-06-24       Impact factor: 2.747

3.  Prediction of myocardial blood flow under stress conditions by means of a computational model.

Authors:  Simone Di Gregorio; Christian Vergara; Giovanni Montino Pelagi; Andrea Baggiano; Paolo Zunino; Marco Guglielmo; Laura Fusini; Giuseppe Muscogiuri; Alexia Rossi; Mark G Rabbat; Alfio Quarteroni; Gianluca Pontone
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-01-05       Impact factor: 10.057

Review 4.  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

5.  Exploring kinetic energy as a new marker of cardiac function in the single ventricle circulation.

Authors:  James Wong; Radomir Chabiniok; Shane M Tibby; Kuberan Pushparajah; Eva Sammut; David Celermajer; Daniel Giese; Tarique Hussain; Gerald F Greil; Tobias Schaeffter; Reza Razavi
Journal:  J Appl Physiol (1985)       Date:  2018-01-25

6.  In-Stent Restenosis Progression in Human Superficial Femoral Arteries: Dynamics of Lumen Remodeling and Impact of Local Hemodynamics.

Authors:  Monika Colombo; Yong He; Anna Corti; Diego Gallo; Federica Ninno; Stefano Casarin; Jared M Rozowsky; Francesco Migliavacca; Scott Berceli; Claudio Chiastra
Journal:  Ann Biomed Eng       Date:  2021-04-29       Impact factor: 3.934

  6 in total

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