Literature DB >> 22902782

A dimensionally-heterogeneous closed-loop model for the cardiovascular system and its applications.

P J Blanco1, R A Feijóo.   

Abstract

In the present work a computational model of the entire cardiovascular system is developed using heterogeneous mathematical representations. This model integrates different levels of detail for the blood circulation. The arterial tree is described by a one dimensional model in order to simulate the wave propagation phenomena that take place at the larger arterial vessels. The inflow and outflow locations of this 1D model are coupled with lumped parameter descriptions of the remainder part of the circulatory system, closing the loop. The four cardiac valves are considered using a valve model which allows for stenoses and regurgitation phenomena. In addition, full 3D geometrical models of arterial districts are embedded in this closed-loop circuit to model the local blood flow in specific vessels. This kind of detailed closed-loop network for the cardiovascular system allows hemodynamics analyses of patient-specific arterial district, delivering naturally the appropriate boundary conditions for different cardiovascular scenarios. An example of application involving the effect of aortic insufficiency on the local hemodynamics of a cerebral aneurism is provided as a motivation to reproduce, through numerical simulation, the hemodynamic environment in patients suffering from infective endocarditis and mycotic aneurisms. The need for incorporating homeostatic control mechanisms is also discussed in view of the large sensitivity observed in the results, noting that this kind of integrative modeling allows such incorporation.
Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22902782     DOI: 10.1016/j.medengphy.2012.07.011

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


  8 in total

1.  Numerical Method of Characteristics for One-Dimensional Blood Flow.

Authors:  Sebastian Acosta; Charles Puelz; Béatrice Riviére; Daniel J Penny; Craig G Rusin
Journal:  J Comput Phys       Date:  2015-08-01       Impact factor: 3.553

2.  Cardiovascular deconditioning during long-term spaceflight through multiscale modeling.

Authors:  Caterina Gallo; Luca Ridolfi; Stefania Scarsoglio
Journal:  NPJ Microgravity       Date:  2020-10-01       Impact factor: 4.415

3.  A computational study of the Fontan circulation with fenestration or hepatic vein exclusion.

Authors:  Charles Puelz; Sebastián Acosta; Béatrice Rivière; Daniel J Penny; Ken M Brady; Craig G Rusin
Journal:  Comput Biol Med       Date:  2017-08-25       Impact factor: 4.589

4.  Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling.

Authors:  Giovanna Guidoboni; Lorenzo Sala; Moein Enayati; Riccardo Sacco; Marcela Szopos; James M Keller; Mihail Popescu; Laurel Despins; Virginia H Huxley; Marjorie Skubic
Journal:  IEEE Trans Biomed Eng       Date:  2019-02-06       Impact factor: 4.538

5.  Compensatory Effect between Aortic Stiffening and Remodelling during Ageing.

Authors:  Andrea Guala; Carlo Camporeale; Luca Ridolfi
Journal:  PLoS One       Date:  2015-10-01       Impact factor: 3.240

6.  Cardiovascular Response to Posture Changes: Multiscale Modeling and in vivo Validation During Head-Up Tilt.

Authors:  Matteo Fois; Simona Vittoria Maule; Marta Giudici; Matteo Valente; Luca Ridolfi; Stefania Scarsoglio
Journal:  Front Physiol       Date:  2022-02-17       Impact factor: 4.755

Review 7.  Insights from computational modeling on the potential hemodynamic effects of sinus rhythm versus atrial fibrillation.

Authors:  Matteo Anselmino; Stefania Scarsoglio; Luca Ridolfi; Gaetano Maria De Ferrari; Andrea Saglietto
Journal:  Front Cardiovasc Med       Date:  2022-09-14

8.  Bond Graph Model of Cerebral Circulation: Toward Clinically Feasible Systemic Blood Flow Simulations.

Authors:  Soroush Safaei; Pablo J Blanco; Lucas O Müller; Leif R Hellevik; Peter J Hunter
Journal:  Front Physiol       Date:  2018-03-02       Impact factor: 4.566

  8 in total

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