Literature DB >> 20419330

Modeling active muscle contraction in mitral valve leaflets during systole: a first approach.

B Skallerud1, V Prot, I S Nordrum.   

Abstract

The present study addresses the effect of muscle activation contributions to mitral valve leaflet response during systole. State-of-art passive hyperelastic material modeling is employed in combination with a simple active stress part. Fiber families are assumed in the leaflets: one defined by the collagen and one defined by muscle activation. The active part is either assumed to be orthogonal to the collagen fibers or both orthogonal to and parallel with the collagen fibers (i.e. an orthotropic muscle fiber model). Based on data published in the literature and information herein on morphology, the size of the leaflet parts that contain muscle fibers is estimated. These parts have both active and passive materials, the remaining parts consist of passive material only. Several solid finite element analyses with different maximum activation levels are run. The simulation results are compared to corresponding echocardiography at peak systole for a porcine model. The physiologically correct flat shape of the closed valve is approached as the activation levels increase. The non-physiological bulging of the leaflet into the left atrium when using passive material models is reduced significantly. These results contribute to improved understanding of the physiology of the native mitral valve, and add evidence to the hypothesis that the mitral valve leaflets not are just passive elements moving as a result of hemodynamic pressure gradients in the left part of the heart.

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Year:  2010        PMID: 20419330     DOI: 10.1007/s10237-010-0215-9

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


  17 in total

1.  New concepts for mitral valve imaging.

Authors:  Thilo Noack; Philipp Kiefer; Razvan Ionasec; Ingmar Voigt; Tammaso Mansi; Marcel Vollroth; Michael Hoebartner; Martin Misfeld; Friedrich-Wilhelm Mohr; Joerg Seeburger
Journal:  Ann Cardiothorac Surg       Date:  2013-11

2.  A comprehensive pipeline for multi-resolution modeling of the mitral valve: Validation, computational efficiency, and predictive capability.

Authors:  Andrew Drach; Amir H Khalighi; Michael S Sacks
Journal:  Int J Numer Method Biomed Eng       Date:  2017-09-05       Impact factor: 2.747

Review 3.  Heart Valve Biomechanics and Underlying Mechanobiology.

Authors:  Salma Ayoub; Giovanni Ferrari; Robert C Gorman; Joseph H Gorman; Frederick J Schoen; Michael S Sacks
Journal:  Compr Physiol       Date:  2016-09-15       Impact factor: 9.090

4.  Finite Element Analysis of Patient-Specific Mitral Valve with Mitral Regurgitation.

Authors:  Thuy Pham; Fanwei Kong; Caitlin Martin; Qian Wang; Charles Primiano; Raymond McKay; John Elefteriades; Wei Sun
Journal:  Cardiovasc Eng Technol       Date:  2017-01-09       Impact factor: 2.495

5.  On the effects of leaflet microstructure and constitutive model on the closing behavior of the mitral valve.

Authors:  Chung-Hao Lee; Jean-Pierre Rabbah; Ajit P Yoganathan; Robert C Gorman; Joseph H Gorman; Michael S Sacks
Journal:  Biomech Model Mechanobiol       Date:  2015-05-07

6.  Finite element modeling of mitral leaflet tissue using a layered shell approximation.

Authors:  Jonathan F Wenk; Mark B Ratcliffe; Julius M Guccione
Journal:  Med Biol Eng Comput       Date:  2012-09-13       Impact factor: 2.602

Review 7.  Computational mitral valve evaluation and potential clinical applications.

Authors:  Krishnan B Chandran; Hyunggun Kim
Journal:  Ann Biomed Eng       Date:  2014-08-19       Impact factor: 3.934

8.  Quantification and simulation of layer-specific mitral valve interstitial cells deformation under physiological loading.

Authors:  Chung-Hao Lee; Christopher A Carruthers; Salma Ayoub; Robert C Gorman; Joseph H Gorman; Michael S Sacks
Journal:  J Theor Biol       Date:  2015-03-16       Impact factor: 2.691

Review 9.  Computational modeling of cardiac valve function and intervention.

Authors:  Wei Sun; Caitlin Martin; Thuy Pham
Journal:  Annu Rev Biomed Eng       Date:  2014-04-16       Impact factor: 9.590

10.  Patient-specific mitral valve closure prediction using 3D echocardiography.

Authors:  Philippe Burlina; Chad Sprouse; Ryan Mukherjee; Daniel DeMenthon; Theodore Abraham
Journal:  Ultrasound Med Biol       Date:  2013-03-13       Impact factor: 2.998

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