Literature DB >> 20589408

Models of cardiac electromechanics based on individual hearts imaging data: image-based electromechanical models of the heart.

Viatcheslav Gurev1, Ted Lee, Jason Constantino, Hermenegild Arevalo, Natalia A Trayanova.   

Abstract

Current multi-scale computational models of ventricular electromechanics describe the full process of cardiac contraction on both the micro- and macro- scales including: the depolarization of cardiac cells, the release of calcium from intracellular stores, tension generation by cardiac myofilaments, and mechanical contraction of the whole heart. Such models are used to reveal basic mechanisms of cardiac contraction as well as the mechanisms of cardiac dysfunction in disease conditions. In this paper, we present a methodology to construct finite element electromechanical models of ventricular contraction with anatomically accurate ventricular geometry based on magnetic resonance and diffusion tensor magnetic resonance imaging of the heart. The electromechanical model couples detailed representations of the cardiac cell membrane, cardiac myofilament dynamics, electrical impulse propagation, ventricular contraction, and circulation to simulate the electrical and mechanical activity of the ventricles. The utility of the model is demonstrated in an example simulation of contraction during sinus rhythm using a model of the normal canine ventricles.

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Year:  2010        PMID: 20589408      PMCID: PMC3166526          DOI: 10.1007/s10237-010-0235-5

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  32 in total

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Authors:  Carey Stevens; Espen Remme; Ian LeGrice; Peter Hunter
Journal:  J Biomech       Date:  2003-05       Impact factor: 2.712

9.  Remodeling of cardiac fiber structure after infarction in rats quantified with diffusion tensor MRI.

Authors:  Junjie Chen; Sheng-Kwei Song; Wei Liu; Mark McLean; J Stacy Allen; Jie Tan; Samuel A Wickline; Xin Yu
Journal:  Am J Physiol Heart Circ Physiol       Date:  2003-05-22       Impact factor: 4.733

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  71 in total

1.  Comparison of the effects of continuous and pulsatile left ventricular-assist devices on ventricular unloading using a cardiac electromechanics model.

Authors:  Ki Moo Lim; Jason Constantino; Viatcheslav Gurev; Renjun Zhu; Eun Bo Shim; Natalia A Trayanova
Journal:  J Physiol Sci       Date:  2011-11-11       Impact factor: 2.781

Review 2.  At the heart of computational modelling.

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

3.  Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Can Ceritoglu; Michael Miller; Natalia Trayanova
Journal:  IEEE Trans Med Imaging       Date:  2012-01-18       Impact factor: 10.048

4.  Electromechanical wave imaging for noninvasive mapping of the 3D electrical activation sequence in canines and humans in vivo.

Authors:  Elisa E Konofagou; Jean Provost
Journal:  J Biomech       Date:  2012-01-26       Impact factor: 2.712

5.  Mapping of cardiac electrical activation with electromechanical wave imaging: an in silico-in vivo reciprocity study.

Authors:  Jean Provost; Viatcheslav Gurev; Natalia Trayanova; Elisa E Konofagou
Journal:  Heart Rhythm       Date:  2010-12-23       Impact factor: 6.343

6.  Mechanistic insight into prolonged electromechanical delay in dyssynchronous heart failure: a computational study.

Authors:  Jason Constantino; Yuxuan Hu; Albert C Lardo; Natalia A Trayanova
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-08-09       Impact factor: 4.733

Review 7.  Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations.

Authors:  Patrick M Boyle; Thomas V Karathanos; Emilia Entcheva; Natalia A Trayanova
Journal:  Comput Biol Med       Date:  2015-05-07       Impact factor: 4.589

Review 8.  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

9.  Computational prediction of the effect of D172N KCNJ2 mutation on ventricular pumping during sinus rhythm and reentry.

Authors:  Aulia Khamas Heikhmakhtiar; Chung Hao Lee; Kwang Soup Song; Ki Moo Lim
Journal:  Med Biol Eng Comput       Date:  2020-02-24       Impact factor: 2.602

10.  Computational analysis of the effect of valvular regurgitation on ventricular mechanics using a 3D electromechanics model.

Authors:  Ki Moo Lim; Seung-Bae Hong; Byong Kwon Lee; Eun Bo Shim; Natalia Trayanova
Journal:  J Physiol Sci       Date:  2015-02-03       Impact factor: 2.781

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