TY - JOUR
T1 - A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation
AU - Augustin, C.M.
AU - Gsell, M.A.F.
AU - Karabelas, E.
AU - Willemen, E.
AU - Prinzen, F.W.
AU - Lumens, J.
AU - Vigmond, E.J.
AU - Plank, G.
N1 - Funding Information:
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska–Curie Action H2020-MSCA-IF-2016 InsiliCardio, GA No.750835 and under the ERA-NET co-fund action No. 680969 (ERA-CVD SICVALVES, JTC2019) funded by the Austrian Science Fund (FWF), Grant I 4652-B to CMA. Additionally, the research was supported by the Grants F3210-N18 and I2760-B30 from the Austrian Science Fund (FWF) and a BioTechMed Graz, Austria flagship award “ILearnHeart” to GP. Further, the project has received funding from the European Union's Horizon 2020 research and innovation programme under the ERA-LEARN co-fund action No. 811171 (PUSHCART, JTC1_27) funded by ERA-NET ERACoSysMed to JL, FWP, EJV, and GP.
Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska–Curie Action H2020-MSCA-IF-2016 InsiliCardio, GA No. 750835 and under the ERA-NET co-fund action No. 680969 (ERA-CVD SICVALVES, JTC2019) funded by the Austrian Science Fund (FWF) , Grant I 4652-B to CMA. Additionally, the research was supported by the Grants F3210-N18 and I2760-B30 from the Austrian Science Fund (FWF) and a BioTechMed Graz, Austria flagship award “ILearnHeart” to GP. Further, the project has received funding from the European Union’s Horizon 2020 research and innovation programme under the ERA-LEARN co-fund action No. 811171 (PUSHCART, JTC1_27) funded by ERA-NET ERACoSysMed to JL, FWP, EJV, and GP.
Publisher Copyright:
© 2021 The Author(s)
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Computer models of cardiac electro-mechanics (EM) show promise as an effective means for the quantitative analysis of clinical data and, potentially, for predicting therapeutic responses. To realize such advanced applications methodological key challenges must be addressed. Enhanced computational efficiency and robustness is crucial to facilitate, within tractable time frames, model personalization, the simulation of prolonged observation periods under a broad range of conditions, and physiological completeness encompassing therapy-relevant mechanisms is needed to endow models with predictive capabilities beyond the mere replication of observations.Here, we introduce a universal feature-complete cardiac EM modeling framework that builds on a flexible method for coupling a 3D model of bi-ventricular EM to the physiologically comprehensive 0D CircAdapt model representing atrial mechanics and closed-loop circulation. A detailed mathematical description is given and efficiency, robustness, and accuracy of numerical scheme and solver implementation are evaluated. After parameterization and stabilization of the coupled 3D-0D model to a limit cycle under baseline conditions, the model's ability to replicate physiological behaviors is demonstrated, by simulating the transient response to alterations in loading conditions and contractility, as induced by experimental protocols used for assessing systolic and diastolic ventricular properties. Mechanistic completeness and computational efficiency of this novel model render advanced applications geared towards predicting acute outcomes of EM therapies feasible. (C) 2021 The Author(s). Published by Elsevier B.V.
AB - Computer models of cardiac electro-mechanics (EM) show promise as an effective means for the quantitative analysis of clinical data and, potentially, for predicting therapeutic responses. To realize such advanced applications methodological key challenges must be addressed. Enhanced computational efficiency and robustness is crucial to facilitate, within tractable time frames, model personalization, the simulation of prolonged observation periods under a broad range of conditions, and physiological completeness encompassing therapy-relevant mechanisms is needed to endow models with predictive capabilities beyond the mere replication of observations.Here, we introduce a universal feature-complete cardiac EM modeling framework that builds on a flexible method for coupling a 3D model of bi-ventricular EM to the physiologically comprehensive 0D CircAdapt model representing atrial mechanics and closed-loop circulation. A detailed mathematical description is given and efficiency, robustness, and accuracy of numerical scheme and solver implementation are evaluated. After parameterization and stabilization of the coupled 3D-0D model to a limit cycle under baseline conditions, the model's ability to replicate physiological behaviors is demonstrated, by simulating the transient response to alterations in loading conditions and contractility, as induced by experimental protocols used for assessing systolic and diastolic ventricular properties. Mechanistic completeness and computational efficiency of this novel model render advanced applications geared towards predicting acute outcomes of EM therapies feasible. (C) 2021 The Author(s). Published by Elsevier B.V.
KW - Ventricular pressure-volume relation
KW - Frank-Starling mechanism
KW - Ventricular load
KW - ALGEBRAIC MULTIGRID SOLVER
KW - PRESSURE-VOLUME
KW - CARDIAC ELECTROPHYSIOLOGY
KW - FIBER ORIENTATION
KW - LEFT-VENTRICLE
KW - FAILING HEART
KW - BLOOD-FLOW
KW - ELEMENT
KW - SIMULATIONS
KW - WINDKESSEL
U2 - 10.1016/j.cma.2021.114092
DO - 10.1016/j.cma.2021.114092
M3 - Article
C2 - 34630765
SN - 0045-7825
VL - 386
JO - Computer Methods in Applied Mechanics and Engineering
JF - Computer Methods in Applied Mechanics and Engineering
M1 - 114092
ER -