Literature DB >> 19917304

Coupling multi-physics models to cardiac mechanics.

D A Nordsletten1, S A Niederer, M P Nash, P J Hunter, N P Smith.   

Abstract

We outline and review the mathematical framework for representing mechanical deformation and contraction of the cardiac ventricles, and how this behaviour integrates with other processes crucial for understanding and modelling heart function. Building on general conservation principles of space, mass and momentum, we introduce an arbitrary Eulerian-Lagrangian framework governing the behaviour of both fluid and solid components. Exploiting the natural alignment of cardiac mechanical properties with the tissue microstructure, finite deformation measures and myocardial constitutive relations are referred to embedded structural axes. Coupling approaches for solving this large deformation mechanics framework with three dimensional fluid flow, coronary hemodynamics and electrical activation are described. We also discuss the potential of cardiac mechanics modelling for clinical applications. Crown
Copyright © 2009. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2009        PMID: 19917304     DOI: 10.1016/j.pbiomolbio.2009.11.001

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  57 in total

Review 1.  At the heart of computational modelling.

Authors:  S A Niederer; N P Smith
Journal:  J Physiol       Date:  2012-01-23       Impact factor: 5.182

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.  Non-dimensional physics of pulsatile cardiovascular networks and energy efficiency.

Authors:  Berk Yigit; Kerem Pekkan
Journal:  J R Soc Interface       Date:  2016-01       Impact factor: 4.118

4.  Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data: LV Mechanics Challenge.

Authors:  Adarsh Krishnamurthy; Christopher Villongco; Amanda Beck; Jeffrey Omens; Andrew McCulloch
Journal:  Stat Atlases Comput Models Heart       Date:  2015-01

5.  Towards causally cohesive genotype-phenotype modelling for characterization of the soft-tissue mechanics of the heart in normal and pathological geometries.

Authors:  Øyvind Nordbø; Arne B Gjuvsland; Anders Nermoen; Sander Land; Steven Niederer; Pablo Lamata; Jack Lee; Nicolas P Smith; Stig W Omholt; Jon Olav Vik
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

6.  Computational analysis of the importance of flow synchrony for cardiac ventricular assist devices.

Authors:  Matthew McCormick; David Nordsletten; Pablo Lamata; Nicolas P Smith
Journal:  Comput Biol Med       Date:  2014-04-08       Impact factor: 4.589

Review 7.  Interpreting genetic effects through models of cardiac electromechanics.

Authors:  S A Niederer; S Land; S W Omholt; N P Smith
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-10-05       Impact factor: 4.733

8.  A murine experimental model for the mechanical behaviour of viable right-ventricular myocardium.

Authors:  Daniela Valdez-Jasso; Marc A Simon; Hunter C Champion; Michael S Sacks
Journal:  J Physiol       Date:  2012-07-30       Impact factor: 5.182

9.  Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator.

Authors:  Francisco Sahli Costabal; Jiang Yao; Anna Sher; Ellen Kuhl
Journal:  Prog Biophys Mol Biol       Date:  2018-10-26       Impact factor: 3.667

10.  Beta-adrenergic stimulation maintains cardiac function in Serca2 knockout mice.

Authors:  Sander Land; William E Louch; Steven A Niederer; Jan Magnus Aronsen; Geir Christensen; Ivar Sjaastad; Ole M Sejersted; Nicolas P Smith
Journal:  Biophys J       Date:  2013-03-19       Impact factor: 4.033

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