Literature DB >> 15974534

Three-dimensional asymmetrical modeling of the mitral valve: a finite element study with dynamic boundaries.

Khee Hiang Lim1, Joon Hock Yeo, Carlos M G Duran.   

Abstract

BACKGROUND AND AIM OF THE STUDY: Previous computational studies of the normal mitral valve have been limited because they assumed symmetrical modeling and artificial boundary conditions. The study aim was to model the mitral valve complex asymmetrically with three-dimensional (3-D) dynamic boundaries obtained from in-vivo experimental data.
METHODS: Distance tracings between ultrasound crystals placed in the sheep mitral valve were converted into 3-D coordinates to reconstruct an initial asymmetric mitral model and subsequent dynamic boundary conditions. The non-linear, real-time left ventricular and aortic pressure loads were acquired synchronously. A quasi-static solution was applied over one cardiac cycle.
RESULTS: The mitral valve leaflet stress was heterogeneous. The trigones experienced highest stresses, while the mid-anterior annulus between trigones experienced low stress. High leaflet stress was observed during peak pressure loading. During isovolumic relaxation, the leaflets were highly stretched between the anterolateral trigone and the posteromedial commissure, resulting in a prominent secondary leaflet stress re-increment. This has not been observed previously, as symmetric models with artificial boundary conditions were studied only in the ejection phase.
CONCLUSION: Here, the first asymmetrical mitral valve model synchronized with 3-D dynamic boundaries and non-linear pressure loadings over the whole cardiac cycle based on in vivo experimental data is described. Despite its limitations, this model provides new insights into the distribution of leaflet stress in the mitral valve.

Entities:  

Mesh:

Year:  2005        PMID: 15974534

Source DB:  PubMed          Journal:  J Heart Valve Dis        ISSN: 0966-8519


  17 in total

1.  Fluid-structure interaction models of the mitral valve: function in normal and pathological states.

Authors:  K S Kunzelman; D R Einstein; R P Cochran
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-08-29       Impact factor: 6.237

2.  Material properties of the ovine mitral valve anterior leaflet in vivo from inverse finite element analysis.

Authors:  Gaurav Krishnamurthy; Daniel B Ennis; Akinobu Itoh; Wolfgang Bothe; Julia C Swanson; Matts Karlsson; Ellen Kuhl; D Craig Miller; Neil B Ingels
Journal:  Am J Physiol Heart Circ Physiol       Date:  2008-07-11       Impact factor: 4.733

3.  Mitral Annulus Segmentation from Three-Dimensional Ultrasound.

Authors:  Robert J Schneider; Douglas P Perrin; Nikolay V Vasilyev; Gerald R Marx; Pedro J Del Nido; Robert D Howe
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2009

4.  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

5.  Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow.

Authors:  Robert J Schneider; Douglas P Perrin; Nikolay V Vasilyev; Gerald R Marx; Pedro J del Nido; Robert D Howe
Journal:  Med Image Anal       Date:  2011-12-04       Impact factor: 8.545

6.  Effects of mitral chordae tendineae on the flow in the left heart ventricle.

Authors:  Valentina Meschini; Marco D de Tullio; Roberto Verzicco
Journal:  Eur Phys J E Soft Matter       Date:  2018-02-28       Impact factor: 1.890

7.  Mass-spring model for simulation of heart valve tissue mechanical behavior.

Authors:  Peter E Hammer; Michael S Sacks; Pedro J del Nido; Robert D Howe
Journal:  Ann Biomed Eng       Date:  2011-02-25       Impact factor: 3.934

8.  Mitral annulus segmentation from 3D ultrasound using graph cuts.

Authors:  Robert J Schneider; Douglas P Perrin; Nikolay V Vasilyev; Gerald R Marx; Pedro J del Nido; Robert D Howe
Journal:  IEEE Trans Med Imaging       Date:  2010-06-17       Impact factor: 10.048

Review 9.  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

10.  Role of Computational Simulations in Heart Valve Dynamics and Design of Valvular Prostheses.

Authors:  Krishnan B Chandran
Journal:  Cardiovasc Eng Technol       Date:  2010-03       Impact factor: 2.495

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