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The importance of the pericardium for cardiac biomechanics: From physiology to computational modeling
Pfaller, M. R., Hörmann, J. M., Weigl, M., Nagler, A., Chabiniok, R., Bertoglio, C. & Wall, W. A., Apr-2019, In : Biomechanics and Modeling in Mechanobiology. 18, 2, p. 503-529 27 p.Research output: Contribution to journal › Article › Academic › peer-review
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The importance of the pericardium for cardiac biomechanics : From physiology to computational modeling. / Pfaller, Martin R.; Hörmann, Julia M.; Weigl, Martina; Nagler, Andreas; Chabiniok, Radomir; Bertoglio, Cristóbal; Wall, Wolfgang A.
In: Biomechanics and Modeling in Mechanobiology, Vol. 18, No. 2, 04.2019, p. 503-529.Research output: Contribution to journal › Article › Academic › peer-review
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TY - JOUR
T1 - The importance of the pericardium for cardiac biomechanics
T2 - From physiology to computational modeling
AU - Pfaller, Martin R.
AU - Hörmann, Julia M.
AU - Weigl, Martina
AU - Nagler, Andreas
AU - Chabiniok, Radomir
AU - Bertoglio, Cristóbal
AU - Wall, Wolfgang A.
PY - 2019/4
Y1 - 2019/4
N2 - 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 can not only provide much more realistic cardiac mechanics simulations but also allows new insights into pericardial-myocardial interaction which cannot be assessed in clinical measurements yet.
AB - 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 can not only provide much more realistic cardiac mechanics simulations but also allows new insights into pericardial-myocardial interaction which cannot be assessed in clinical measurements yet.
KW - Cardiac mechanical modeling
KW - Pericardium
KW - Boundary conditions
KW - Finite element simulation
KW - ATRIOVENTRICULAR PLANE DISPLACEMENT
KW - MECHANICAL-PROPERTIES
KW - VENTRICULAR MECHANICS
KW - PASSIVE MYOCARDIUM
KW - SOLE MECHANISM
KW - HEARTH
KW - ATRIAL
KW - PRESSURE
KW - QUANTIFICATION
KW - ORIENTATION
UR - https://arxiv.org/abs/1810.05451
U2 - 10.1007/s10237-018-1098-4
DO - 10.1007/s10237-018-1098-4
M3 - Article
VL - 18
SP - 503
EP - 529
JO - Biomechanics and Modeling in Mechanobiology
JF - Biomechanics and Modeling in Mechanobiology
SN - 1617-7959
IS - 2
ER -
ID: 71294024