Literature DB >> 17132618

A finite element model of the human left ventricular systole.

F Dorri1, P F Niederer, P P Lunkenheimer.   

Abstract

Local wall stress is the pivotal determinant of the heart muscle's systolic function. Under in vivo conditions, however, such stresses cannot be measured systematically and quantitatively. In contrast, imaging techniques based on magnetic resonance (MR) allow the determination of the deformation pattern of the left ventricle (LV) in vivo with high accuracy. The question arises to what extent deformation measurements are significant and might provide a possibility for future diagnostic purposes. The contractile forces cause deformation of LV myocardial tissue in terms of wall thickening, longitudinal shortening, twisting rotation and radial constriction. The myocardium is thereby understood to act as a densely interlaced mesh. Yet, whole cycle image sequences display a distribution of wall strains as function of space and time heralding a significant amount of inhomogeneity even under healthy conditions. We made similar observations previously by direct measurement of local contractile activity. The major reasons for these inhomogeneities derive from regional deviations of the ventricular walls from an ideal spheroidal shape along with marked disparities in focal fibre orientation. In response to a lack of diagnostic tools able to measure wall stress in clinical routine, this communication is aimed at an analysis and functional interpretation of the deformation pattern of an exemplary human heart at end-systole. To this end, the finite element (FE) method was used to simulate the three-dimensional deformations of the left ventricular myocardium due to contractile fibre forces at end-systole. The anisotropy associated with the fibre structure of the myocardial tissue was included in the form of a fibre orientation vector field which was reconstructed from the measured fibre trajectories in a post mortem human heart. Contraction was modelled by an additive second Piola-Kirchhoff active stress tensor. As a first conclusion, it became evident that longitudinal fibre forces, cross-fibre forces and shear along with systolic fibre rearrangement have to be taken into account for a useful modelling of systolic deformation. Second, a realistic geometry and fibre architecture lead to typical and substantially inhomogeneous deformation patterns as they are recorded in real hearts. We therefore, expect that the measurement of systolic deformation might provide useful diagnostic information.

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Year:  2006        PMID: 17132618     DOI: 10.1080/10255840600960546

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  13 in total

Review 1.  [The antagonistic function of the heart muscle sustains the autoregulation according to Frank and Starling : Part I: Structure and function of heart muscle].

Authors:  P P Lunkenheimer; P Niederer; J M Lunkenheimer; H Keller; K Redmann; M Smerup; R H Anderson
Journal:  Herz       Date:  2018-07-27       Impact factor: 1.443

2.  Novel Methodology for Measuring Regional Myocardial Efficiency.

Authors:  Grant T Gullberg; Uttam M Shrestha; Alexander I Veress; W Paul Segars; Jing Liu; Karen Ordovas; Youngho Seo
Journal:  IEEE Trans Med Imaging       Date:  2021-06-01       Impact factor: 11.037

3.  Partial LVAD restores ventricular outputs and normalizes LV but not RV stress distributions in the acutely failing heart in silico.

Authors:  Kevin L Sack; Brian Baillargeon; Gabriel Acevedo-Bolton; Martin Genet; Nuno Rebelo; Ellen Kuhl; Liviu Klein; Georg M Weiselthaler; Daniel Burkhoff; Thomas Franz; Julius M Guccione
Journal:  Int J Artif Organs       Date:  2016-09-14       Impact factor: 1.595

4.  Multi-parametric MRI as an indirect evaluation tool of the mechanical properties of in-vitro cardiac tissues.

Authors:  Delphine Périé; Nagib Dahdah; Anthony Foudis; Daniel Curnier
Journal:  BMC Cardiovasc Disord       Date:  2013-03-27       Impact factor: 2.298

5.  A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data.

Authors:  Tareq Alrefae; Irina V Smirnova; Larry T Cook; Mehmet Bilgen
Journal:  Biomed Eng Online       Date:  2008-05-19       Impact factor: 2.819

6.  An inverse finite element method for determining the tissue compressibility of human left ventricular wall during the cardiac cycle.

Authors:  Abdallah I Hassaballah; Mohsen A Hassan; Azizi N Mardi; Mohd Hamdi
Journal:  PLoS One       Date:  2013-12-19       Impact factor: 3.240

7.  Left ventricular endocardium tracking by fusion of biomechanical and deformable models.

Authors:  Hussin Ketout; Jason Gu
Journal:  Comput Math Methods Med       Date:  2014-01-21       Impact factor: 2.238

Review 8.  Personalised computational cardiology: Patient-specific modelling in cardiac mechanics and biomaterial injection therapies for myocardial infarction.

Authors:  Kevin L Sack; Neil H Davies; Julius M Guccione; Thomas Franz
Journal:  Heart Fail Rev       Date:  2016-11       Impact factor: 4.214

9.  Left Ventricular Wall Stress Is Sensitive Marker of Hypertrophic Cardiomyopathy With Preserved Ejection Fraction.

Authors:  Xiaodan Zhao; Ru-San Tan; Hak-Chiaw Tang; Soo-Kng Teo; Yi Su; Min Wan; Shuang Leng; Jun-Mei Zhang; John Allen; Ghassan S Kassab; Liang Zhong
Journal:  Front Physiol       Date:  2018-03-28       Impact factor: 4.566

10.  Effect of Transmural Differences in Excitation-Contraction Delay and Contraction Velocity on Left Ventricle Isovolumic Contraction: A Simulation Study.

Authors:  J Vaverka; J Burša; J Šumbera; M Pásek
Journal:  Biomed Res Int       Date:  2018-05-10       Impact factor: 3.411

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