Literature DB >> 23666911

Multiphysics computational models for cardiac flow and virtual cardiography.

Jung Hee Seo1, Vijay Vedula, Theodore Abraham, Rajat Mittal.   

Abstract

A multiphysics simulation approach is developed for predicting cardiac flows as well as for conducting virtual echocardiography (ECHO) and phonocardiography (PC) of those flows. Intraventricular blood flow in pathological heart conditions is simulated by solving the three-dimensional incompressible Navier-Stokes equations with an immersed boundary method, and using this computational hemodynamic data, echocardiographic and phonocardiographic signals are synthesized by separate simulations that model the physics of ultrasound wave scattering and flow-induced sound, respectively. For virtual ECHO, a Doppler ultrasound image is reproduced through Lagrangian particle tracking of blood cell particles and application of sound wave scattering theory. For virtual PC, the generation and propagation of blood flow-induced sounds ('hemoacoustics') is directly simulated by a computational acoustics model. The virtual ECHO is applied to reproduce a color M-mode Doppler image for the left ventricle as well as continuous Doppler image for the outflow tract of the left ventricle, which can be verified directly against clinically acquired data. The potential of the virtual PC approach for providing new insights between disease and heart sounds is demonstrated by applying it to modeling systolic murmurs caused by hypertrophic cardiomyopathy.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Doppler ultrasound; computational fluid dynamics; echocardiography; hemoacoustics; hemodynamics; hypertrophic cardiomyopathy; phonocardiography; systolic murmur

Mesh:

Year:  2013        PMID: 23666911     DOI: 10.1002/cnm.2556

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  7 in total

1.  Assessment of methodologies to calculate intraventricular pressure differences in computational models and patients.

Authors:  Francisco J Londono-Hoyos; Abigail Swillens; Joris Van Cauwenberge; Brett Meyers; Maheswara Reddy Koppula; Pavlos Vlachos; Julio A Chirinos; Patrick Segers
Journal:  Med Biol Eng Comput       Date:  2017-08-16       Impact factor: 2.602

2.  Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics.

Authors:  Andrés Caballero; Wenbin Mao; Liang Liang; John Oshinski; Charles Primiano; Raymond McKay; Susheel Kodali; Wei Sun
Journal:  Cardiovasc Eng Technol       Date:  2017-07-25       Impact factor: 2.495

3.  Flow patterns in the jugular veins of pulsatile tinnitus patients.

Authors:  Evan Kao; Sarah Kefayati; Matthew R Amans; Farshid Faraji; Megan Ballweber; Van Halbach; David Saloner
Journal:  J Biomech       Date:  2016-12-14       Impact factor: 2.712

4.  Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load.

Authors:  Elias Karabelas; Matthias A F Gsell; Christoph M Augustin; Laura Marx; Aurel Neic; Anton J Prassl; Leonid Goubergrits; Titus Kuehne; Gernot Plank
Journal:  Front Physiol       Date:  2018-05-28       Impact factor: 4.566

5.  Computational Fluid Dynamics Simulations of Mitral Paravalvular Leaks in Human Heart.

Authors:  Krzysztof Wojtas; Michał Kozłowski; Wojciech Orciuch; Łukasz Makowski
Journal:  Materials (Basel)       Date:  2021-11-30       Impact factor: 3.623

6.  A New MRI-Based Model of Heart Function with Coupled Hemodynamics and Application to Normal and Diseased Canine Left Ventricles.

Authors:  Young Joon Choi; Jason Constantino; Vijay Vedula; Natalia Trayanova; Rajat Mittal
Journal:  Front Bioeng Biotechnol       Date:  2015-09-23

Review 7.  Heart blood flow simulation: a perspective review.

Authors:  Siamak N Doost; Dhanjoo Ghista; Boyang Su; Liang Zhong; Yosry S Morsi
Journal:  Biomed Eng Online       Date:  2016-08-25       Impact factor: 2.819

  7 in total

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