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March 16, 20268 citationsOpen Access

A multi-component, multi-physics computational model for solving coupled cardiac electromechanics and vascular haemodynamics

SLSharp C.Y. LoAZAlberto ZingaroSOM Biotech (Spain)JMJon W.S.; id_orcid 0000-0002-9606-0408 McCullough

Key Result

The coupled model predicts muscle displacement and aortic wall shear stress differently than standalone models, highlighting the importance of coupling between cardiac and vascular dynamics in cardiovascular simulations.

Key Points

  • This research aims to integrate cardiac electromechanics with vascular dynamics in a comprehensive computational model.
  • Developed a 3D electromechanical model of the heart and a 3D fluid mechanics model of blood flow.
  • Utilized a file-based partitioned coupling scheme for independent model operation while sharing data.
  • Validated models using solvers developed by separate research groups with differing discretization schemes.
  • Coupled simulations predict muscle displacement and aortic wall shear stress more accurately than standalone models.
  • Demonstrated minimal additional computation time compared to individual model time steps.
  • Showed potential medical applications by simulating myocardial scarring effects on vascular flow.

Structured PICO

P
Population
Computational models of the cardiovascular system, including idealised anatomies and a realistic thoracic aorta model derived from a computed tomography angiogram of a 26-year-old male human.
I
Intervention
A multi-component, multi-physics computational model coupling a 3D electromechanical model of the heart (Alya) with a 3D fluid mechanics model of vascular blood flow (HemeLB) via a file-based partitioned coupling scheme.
C
Comparator
Standalone cardiac electromechanical and vascular haemodynamic models.
O
Outcome
Model reliability, computation time, muscle displacement, and aortic wall shear stress.

A novel file-based partitioned coupling scheme successfully integrates 3D cardiac electromechanics and vascular haemodynamics, demonstrating that coupled simulations yield different physiological predictions than standalone models.

Limitations

  • The study focuses on demonstrating the feasibility of the approach rather than exhaustive medical applications.
  • Results may not generalize to all cardiovascular conditions.

Abstract

The circulatory system, comprising the heart and blood vessels, is vital for nutrient transport, waste removal, and homeostasis. Traditional computational models often treat cardiac electromechanics and blood flow dynamics separately, overlooking the integrated nature of the system. This paper presents an innovative approach that couples a 3D electromechanical model of the heart with a 3D fluid mechanics model of vascular blood flow. Using a file-based partitioned coupling scheme, these models run independently while sharing essential data through intermediate files. We validate this approach using solvers developed by separate research groups, each targeting disparate dynamical scales employing distinct discretisation schemes, and implemented in different programming languages. Numerical simulations using idealised and realistic anatomies show that the coupling scheme is reliable and requires minimal additional computation time relative to advancing individual time steps in the heart and blood flow models. Notably, the coupled model predicts muscle displacement and aortic wall shear stress differently than the standalone models, highlighting the importance of coupling between cardiac and vascular dynamics in cardiovascular simulations. Moreover, we demonstrate the model's potential for medical applications by simulating the effects of myocardial scarring on downstream vascular flow. This study presents a paradigm case of how to build virtual human models and digital twins by productive collaboration between teams with complementary expertise.

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Cite This Study

Lo et al. (2025) studied coupled cardiac electromechanics and vascular haemodynamics simulations. coupled cardiac electromechanics and vascular haemodynamics model vs. standalone models was evaluated on prediction of muscle displacement and aortic wall shear stress. The coupled model predicts muscle displacement and aortic wall shear stress differently than standalone models, highlighting the importance of coupling between cardiac and vascular dynamics in cardiovascular simulations.

synapsesocial.com/papers/69b79d538166e15b153aab67https://doi.org/10.1016/j.cma.2025.118185
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A multi-component, multi-physics computational model for solving coupled cardiac electromechanics and vascular haemodynamics2025 · 2 citations
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  4. 4Hemodynamics and Fluid-Structure-Interaction in a Virtual Heart2010
  5. 5A coupling strategy for a 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function2021