Literature DB >> 30535650

The importance of the pericardium for cardiac biomechanics: from physiology to computational modeling.

Martin R Pfaller1, Julia M Hörmann2, Martina Weigl2, Andreas Nagler2, Radomir Chabiniok3,4,5, Cristóbal Bertoglio6,7, Wolfgang A Wall2.   

Abstract

The human heart is enclosed in the pericardial cavity. The pericardium consists of a layered thin sac and is separated from the myocardium by a thin film of fluid. It provides a fixture in space and frictionless sliding of the myocardium. The influence of the pericardium is essential for predictive mechanical simulations of the heart. However, there is no consensus on physiologically correct and computationally tractable pericardial boundary conditions. Here, we propose to model the pericardial influence as a parallel spring and dashpot acting in normal direction to the epicardium. Using a four-chamber geometry, we compare a model with pericardial boundary conditions to a model with fixated apex. The influence of pericardial stiffness is demonstrated in a parametric study. Comparing simulation results to measurements from cine magnetic resonance imaging reveals that adding pericardial boundary conditions yields a better approximation with respect to atrioventricular plane displacement, atrial filling, and overall spatial approximation error. We demonstrate that this simple model of pericardial-myocardial interaction can correctly predict the pumping mechanisms of the heart as previously assessed in clinical studies. Utilizing a pericardial model not only can provide much more realistic cardiac mechanics simulations but also allows new insights into pericardial-myocardial interaction which cannot be assessed in clinical measurements yet.

Entities:  

Keywords:  Boundary conditions; Cardiac mechanical modeling; Finite element simulation; Pericardium

Mesh:

Year:  2018        PMID: 30535650     DOI: 10.1007/s10237-018-1098-4

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


  23 in total

1.  Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions.

Authors:  Aditya V S Ponnaluri; Ilya A Verzhbinsky; Jeff D Eldredge; Alan Garfinkel; Daniel B Ennis; Luigi E Perotti
Journal:  Funct Imaging Model Heart       Date:  2019-05-30

2.  A framework for biomechanics simulations using four-chamber cardiac models.

Authors:  Arian Jafari; Edward Pszczolkowski; Adarsh Krishnamurthy
Journal:  J Biomech       Date:  2019-05-21       Impact factor: 2.712

3.  A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis.

Authors:  Wesley de Jesus Lourenço; Ruy Freitas Reis; Ricardo Ruiz-Baier; Bernardo Martins Rocha; Rodrigo Weber Dos Santos; Marcelo Lobosco
Journal:  Front Physiol       Date:  2022-07-04       Impact factor: 4.755

4.  Support Pressure Acting on the Epicardial Surface of a Rat Left Ventricle-A Computational Study.

Authors:  Denisa Martonová; David Holz; Dorothea Brackenhammer; Michael Weyand; Sigrid Leyendecker; Muhannad Alkassar
Journal:  Front Cardiovasc Med       Date:  2022-07-06

5.  Effect of myofibre architecture on ventricular pump function by using a neonatal porcine heart model: from DT-MRI to rule-based methods.

Authors:  Debao Guan; Jiang Yao; Xiaoyu Luo; Hao Gao
Journal:  R Soc Open Sci       Date:  2020-04-08       Impact factor: 2.963

6.  Monitoring of cardiovascular physiology augmented by a patient-specific biomechanical model during general anesthesia. A proof of concept study.

Authors:  Arthur Le Gall; Fabrice Vallée; Kuberan Pushparajah; Tarique Hussain; Alexandre Mebazaa; Dominique Chapelle; Étienne Gayat; Radomír Chabiniok
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

7.  A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.

Authors:  Marina Strocchi; Christoph M Augustin; Matthias A F Gsell; Elias Karabelas; Aurel Neic; Karli Gillette; Orod Razeghi; Anton J Prassl; Edward J Vigmond; Jonathan M Behar; Justin Gould; Baldeep Sidhu; Christopher A Rinaldi; Martin J Bishop; Gernot Plank; Steven A Niederer
Journal:  PLoS One       Date:  2020-06-26       Impact factor: 3.240

8.  Automatic mapping of atrial fiber orientations for patient-specific modeling of cardiac electromechanics using image registration.

Authors:  Julia M Hoermann; Martin R Pfaller; Linda Avena; Cristóbal Bertoglio; Wolfgang A Wall
Journal:  Int J Numer Method Biomed Eng       Date:  2019-03-14       Impact factor: 2.747

9.  Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of Windkessel-type afterload models.

Authors:  Laura Marx; Matthias A F Gsell; Armin Rund; Federica Caforio; Anton J Prassl; Gabor Toth-Gayor; Titus Kuehne; Christoph M Augustin; Gernot Plank
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

10.  Estimating cardiomyofiber strain in vivo by solving a computational model.

Authors:  Luigi E Perotti; Ilya A Verzhbinsky; Kévin Moulin; Tyler E Cork; Michael Loecher; Daniel Balzani; Daniel B Ennis
Journal:  Med Image Anal       Date:  2020-12-05       Impact factor: 8.545

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