• Corpus ID: 245836890

life$^x$ - heart module: a high-performance simulator for the cardiac function. Package 1: Fiber generation

@inproceedings{Africa2022lifexH,
  title={life\$^x\$ - heart module: a high-performance simulator for the cardiac function. Package 1: Fiber generation},
  author={Pasquale Claudio Africa and Roberto Piersanti and Marco Fedele and Luca Dede’ and Alfio Quarteroni},
  year={2022}
}
Modeling the whole cardiac function involves several complex multiphysics and multi-scale phenomena that are highly computationally demanding, which makes calling for simpler yet accurate, high-performance computational tools still a paramount challenge to be addressed. Despite all the efforts made by several research groups worldwide, no software has progressed as a standard reference tool for whole-heart fully-coupled cardiac simulations in the scientific community yet. In this work we… 

Figures from this paper

Lifex: a Flexible, High Performance Library for the Numerical Solution of Complex Finite Element Problems
TLDR
This document introduces the design and the capabilities of life x, an open source C++ library for high performance element simulations of multiphysics, multiscale and multidomain problems, and shows its parallel performance up to thousands of cores.
A reduced order model for domain decompositions with non-conforming interfaces
TLDR
A reduced order modeling strategy for two-way Dirichlet-Neumann parametric coupled problems solved with domain-decomposition (DD) sub-structuring methods that is numerically verified on both steady and unsteady coupled problems, in the case of non-conforming FE interfaces.
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
TLDR
The proposed model represents the state-of-the-art electromechanical model of the iHEART ERC project – an Integrated Heart Model for the Simulation of the Cardiac Function – and is a fundamental step toward the building of physics-based digital twins of the human heart.

References

SHOWING 1-10 OF 23 REFERENCES
A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations
TLDR
This work has created the first publicly available virtual cohort of twenty-four four-chamber hearts, built from heart failure patients, to facilitate large cohort computational studies and to promote the development of cardiac computational electro-mechanics for clinical applications.
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations
Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study.
TLDR
A computational model is proposed to effectively reveal the interactions between the cardiac and pulmonary functions in virtual subjects with normal and impaired cardiac function at baseline affected by mild or severe COVID-19.
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part I: model derivation
TLDR
This work proposes an integrated electromechanical model of the human heart, with focus on the left ventricle, wherein biophysically detailed models describe the different physical phenomena concurring to the cardiac function by means of an Artificial Neural Network trained by a suitable Machine Learning algorithm.
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part II: numerical approximation
TLDR
A numerical method to couple the 3D electromechanical model and the 0D circulation model in a numerically stable manner within a fully segregated fashion and shows the convergence property of the numerical schemes by performing an accuracy study through grid refinement.
A multiscale CFD model of blood flow in the human left heart coupled with a lumped-parameter model of the cardiovascular system
TLDR
The Navier-Stokes equations in an Arbitrary Lagrangian Eulerian formulation are employed to account for the endocardium motion, and the model of both the mitral and the aortic valves is model by means of the Resistive Immersed Implicit Surface method.
...
...