Literature DB >> 17980641

Doppler derived quantitative flow estimate in coronary artery bypass graft: a computational multiscale model for the evaluation of the current clinical procedure.

Raffaele Ponzini1, Massimo Lemma, Umberto Morbiducci, Franco M Montevecchi, Alberto Redaelli.   

Abstract

In order to investigate the reliability of the so called mean velocity/vessel area formula adopted in clinical practice for the estimation of the flow rate using an intravascular Doppler guide wire instrumentation, a multiscale computational model was used to give detailed predictions on flow profiles within Y-shaped coronary artery bypass graft (CABG) models. At this purpose three CABG models were built from clinical patient's data and used to evaluate and compare, in each model, the computed flow rate and the flow rate estimated according to the assumption of parabolic velocity profile. A consistent difference between the exact and the estimated value of the flow rate was found in every branch of all the graft models. In this study we showed that this discrepancy in the flow rate estimation is coherent to the theory of Womersley regarding spatial velocity profiles in unsteady flow conditions. In particular this work put in evidence that the error in flow rate estimation can be reduced by using the estimation formula recently proposed by Ponzini et al. [Ponzini R, Vergara C, Redaelli A, Veneziani A. Reliable CFD-based estimation of flow rate in haemodynamics measures. Ultrasound Med Biol 2006;32(10):1545-55], accounting for the unsteady nature of blood, applicable in the clinical practice without resorting to further measurements.

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Year:  2007        PMID: 17980641     DOI: 10.1016/j.medengphy.2007.09.004

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Synthetic dataset generation for the analysis and the evaluation of image-based hemodynamics of the human aorta.

Authors:  Umberto Morbiducci; Raffaele Ponzini; Giovanna Rizzo; Marco Evanghelos Biancolini; Francesco Iannaccone; Diego Gallo; Alberto Redaelli
Journal:  Med Biol Eng Comput       Date:  2011-12-23       Impact factor: 2.602

Review 2.  Theoretical models for coronary vascular biomechanics: progress & challenges.

Authors:  Sarah L Waters; Jordi Alastruey; Daniel A Beard; Peter H M Bovendeerd; Peter F Davies; Girija Jayaraman; Oliver E Jensen; Jack Lee; Kim H Parker; Aleksander S Popel; Timothy W Secomb; Maria Siebes; Spencer J Sherwin; Rebecca J Shipley; Nicolas P Smith; Frans N van de Vosse
Journal:  Prog Biophys Mol Biol       Date:  2010-10-30       Impact factor: 3.667

3.  Computational Fluid Dynamics Modeling of the Human Pulmonary Arteries with Experimental Validation.

Authors:  Alifer D Bordones; Matthew Leroux; Vitaly O Kheyfets; Yu-An Wu; Chia-Yuan Chen; Ender A Finol
Journal:  Ann Biomed Eng       Date:  2018-05-21       Impact factor: 3.934

4.  Patient-specific computational fluid dynamics: structured mesh generation from coronary angiography.

Authors:  Gianluca De Santis; Peter Mortier; Matthieu De Beule; Patrick Segers; Pascal Verdonck; Benedict Verhegghe
Journal:  Med Biol Eng Comput       Date:  2010-02-17       Impact factor: 2.602

5.  Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.

Authors:  Yanhang Zhang; Victor H Barocas; Scott A Berceli; Colleen E Clancy; David M Eckmann; Marc Garbey; Ghassan S Kassab; Donna R Lochner; Andrew D McCulloch; Roger Tran-Son-Tay; Natalia A Trayanova
Journal:  Ann Biomed Eng       Date:  2016-05-02       Impact factor: 3.934

Review 6.  Considerations for numerical modeling of the pulmonary circulation--a review with a focus on pulmonary hypertension.

Authors:  V O Kheyfets; W O'Dell; T Smith; J J Reilly; E A Finol
Journal:  J Biomech Eng       Date:  2013-06       Impact factor: 2.097

7.  Computational fluid dynamics simulations of contrast agent bolus dispersion in a coronary bifurcation: impact on MRI-based quantification of myocardial perfusion.

Authors:  Regine Schmidt; Dirk Graafen; Stefan Weber; Laura M Schreiber
Journal:  Comput Math Methods Med       Date:  2013-02-28       Impact factor: 2.238

  7 in total

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