Abstract : Computational cardiology is an emerging field that exploits Mathematics, Engineering, and Computational Science to develop quantitative approaches for understanding the mechanisms of cardiac physiology, for enhancing the diagnosis of pathologies, and for improving their clinical treatment. This minisymposium aims at gathering mathematicians, engineers, and more generally researchers working on mathematical and numerical modelling of the human heart. Topics may include, but are not limited to, coupled cardiac modelling, numerical methods, translational medicine, Scientific Computing, Scientific Machine Learning, and large-scale computing. The overarching aim is the construction of Cardiac Digital Twins.
[04495] Multiphysics, multiscale, and computational models for simulating the cardiac function
Format : Talk at Waseda University
Author(s) :
Luca Dede' (Politecnico di Milano)
Abstract : We present our novel 4-chambers model of the human heart. We couple state-of-the art models of electrophysiology, mechanical activation, passive mechanical response, and blood circulation, leading to a coupled electromechanical problem. Our multiscale model accounts for miscroscopic active force generation that exploits Machine Learning algorithms. We numerically solve the model in the HPC framework. We also present a Machine Learning method for real-time numerical simulations that allows efficient construction of cardiac digital twins.
[03710] Virtual Populations of Heart Chimaeras: Generative Compositional Learning from Datasets of Datasets
Format : Talk at Waseda University
Author(s) :
Alejandro Federico Frangi (University of Leeds)
Haoran Dou (University of Leeds)
Seppo Virtanen (University of Leeds)
Nishant Ravikumar (University of Leeds)
Zeike Taylor (University of Leeds)
Abstract : Virtual populations capturing sufficient anatomical variability while remaining plausible are central to conducting in-silico trials of medical devices. Unfortunately, not all anatomical information is available from a single data sample or modality given a population. Instead, data with missing/partially overlapping anatomical information is often available from independent data samples and/or modalities. We introduce a generative anatomical model capable of learning complex anatomical structures from datasets of unpaired datasets and synthesising anatomical assemblies coined virtual chimaeras.
[03238] The role of the Eikonal model in personalized cardiac modeling from parameter acquisition to arrhythmia simulations
Format : Talk at Waseda University
Author(s) :
Cristian Alberto Barrios Espinosa (Karlsruhe Institute of Technology (KIT))
Jorge Sanchez Arciniegas (Valencia Polytechnic University )
Laura Unger (Karlsruhe Institute of Technology (KIT))
Marie Houillon (Karlsruhe Institute of Technology (KIT))
Armin Luik (Städtisches Klinikum Karlsruhe)
Axel Loewe (Karlsruhe Institute of Technology (KIT))
Abstract : The Eikonal model is widely used to simulate wave propagation in different fields, including cardiac modeling. A modified version of the Eikonal model can help to customize model parameters, like conduction velocity accounting for anisotropic propagation. Moreover, the modified Eikonal model can be used to simulate arrhythmia by allowing for reactivation, overcoming challenges of the fast iterative method. Finally, we show applications of the enhanced Eikonal models as a valuable tool for cardiac research applications.
[03521] An anisotropic eikonal model for cardiac repolarization and arrhythmias
Format : Talk at Waseda University
Author(s) :
Simone Pezzuto (Università di Trento)
Lia Gander (Università della Svizzera italiana)
Rolf Krause (Università della Svizzera italiana)
Martin Weiser (Zuse Institute Berlin)
Francisco Sahli Costabal (Pontificia Universidad Católica de Chile)
Abstract : State-of-the-art computational models of cardiac electrophysiology are computationally expensive. Their clinical applicability is, therefore, limited. In the talk, we will present a lightweight eikonal approximation for real-time simulation of cardiac arrhythmias on a desktop computer. We provide several numerical tests and comparisons, including atrial fibrillation, ventricular tachycardia, and with fibrosis. Finally, we consider the problem of estimating the inducibility of fibrillation with a multi-fidelity framework by combining the eikonal approach with the high-fidelity model.
[05281] Computational Models of Cardiac Electro-mechanical Function – Closing the Gaps between Virtual and Physical Reality
Format : Talk at Waseda University
Author(s) :
Gernot Plank (Medical University of Graz)
Abstract : A fundamental concern hampering a broader adoption of digital twins in cardiology application is the lack of correspondence between the physiology of a virtual heart and the physical reality. We report on our latest advances addressing these issues. Real-time enabled whole heart electrophysiology as well as computationally efficient whole heart multi-physics models of cardiac electro-mechanics will be discussed, along with techniques for automated patient-specific model calibration.
[04706] Scaling cardiac digital twins for population-based studies
Format : Talk at Waseda University
Author(s) :
Shuang Qian (King's College London)
Devran Ugurlu (King's College London)
Elliot Fairweather (King's College London)
Marina Strocchi (King's College London)
Laura dal toso (King's College London)
Yu Deng (King's College London)
Alistair Young (King's College London)
Martin Bishop (King's College London)
Pablo Lamata (King's College London)
Steven Niederer (King's College London)
Abstract : Cardiac digital twins, provide a physics and physiology-constrained framework, enabling personalised diagnosis and tailored therapies for individual patients. However, building patient-specific digital twins at scale remains challenging. This talk presents an open-sourced automatic pipeline of generating finite element biventricular heart models from CMRs in the UK biobank. Using this pipeline, each digital twin can be created in only 8 mins on a standard desktop, compatible with clinical time scales and also enabling large scale virtual population-based studies.
[04251] A Local Space-Time Adaptive Scheme to Simulate Cardiac Electrophysiology
Format : Talk at Waseda University
Author(s) :
Dennis Ogiermann (Ruhr University Bochum, Chair of Continuum Mechanics)
Luigi E. Perotti (University of Central Florida, Mechanical and Aerospace Engineering Department, Computational Biomechanics Lab)
Daniel Balzani (Ruhr University Bochum, Chair of Continuum Mechanics)
Abstract : Cardiac electrophysiology simulations are often based on the monodomain model, which is characterized by traveling waves with a steep localized wavefront and slow changes in the remaining domain. This aspect renders schemes based on uniform spatial and temporal discretization expensive.
We present a numerical scheme that exploits the localized nature of the rapidly changing wavefront by combining discontinuous Galerkin on an adaptive mesh for the spatial discretization with an elementwise explicit local time stepping.
[03847] Parallel Performance of Robust and Scalable Multilevel Preconditioners in Cardiac Electrophysiology
Format : Talk at Waseda University
Author(s) :
Edoardo Centofanti (Università degli Studi di Pavia)
Abstract : The EMI (Extracellular space, cell Membrane and Intracellular space) model is among the first models for describing the electrical activity of the heart at a cellular level. The resulting system of equations allows discontinuities of potentials between boundaries as well as particular distributions of ion charges on the cellular membranes. In this talk, we will study the performances of different multigrid and multilevel solvers for the solution of such systems both on CPU and GPU architectures.
[04140] Cardiac hemodynamics simulations with fluid-structure interaction and reduced valve modeling
Format : Talk at Waseda University
Author(s) :
Miguel A. Fernández (Inria)
Oscar Ruz (Inria)
Jérôme Diaz (Inria)
Marina Vidrascu (Inria)
Philippe Moireau (Inria)
Dominique Chapelle (Inria)
Abstract : The development of efficient physiological simulations of the complete FSI phenomena involved in the heart is a challenging problem. We investigate an hybrid approach which combines FSI in the myocardium with a reduced modeling of the valves. A loosely coupled treatment of the interface coupling facilitates the treatment of the isovolumetric phases. The benefits of the proposed approach are investigated and compared with kinematic uncoupling in simulations of the left heart hemodynamics.
[03773] Parametric Fluid-structure interaction solvers for haemodynamics
Format : Talk at Waseda University
Author(s) :
Damiano Lombardi (Inria Paris)
Sébastien Riffaud (Inria Paris)
Miguel A. Fernández (Inria Paris)
Abstract : Data assimilation and uncertainty quantification are essential tasks in numerous realistic applications.
They involve a prohibitive computational burden. The goal of the present work is to propose and investigate efficient parametric solvers for Partial Differential Equations describing fluid-structure interaction. The solvers consider parameters as extra variables and enable applications such as parameter estimation and uncertainty quantification. Several formulations will be discussed and numerical experiments will be presented to assess the properties of the methods.
[04521] Towards developing high-speed cardiac mechanics simulations using a neural network finite element approach
Format : Online Talk on Zoom
Author(s) :
Michael S Sacks (University of Texas at Austin)
Shruti Motiwale (University of Texas at Austin)
Abstract : We have developed a neural network finite element (NNFE) approach for cardiac simulations, which is a physics-based method using a neural network to solve the parametric map and finite elements to define the problem domain. Cardiac simulations were performed to predict the P-V responses of a simulated left ventricle, accounting for active contraction and transmural fiber distributions. Results demonstrate the first application of the NNFE approach at the organ level within clinically relevant timeframes.
[05099] Modeling Cardiac Fluid-Structure Interaction in the Human Heart
Format : Online Talk on Zoom
Author(s) :
Marshall Davey (University of North Carolina at Chapel Hill)
Charles Puelz (Baylor College of Medicine)
Simone Rossi (University of North Carolina at Chapel Hill)
Margaret Anne Smith (University of North Carolina at Chapel Hill)
David R. Wells (University of North Carolina at Chapel Hill)
Boyce E. Griffith (University of North Carolina at Chapel Hill)
Abstract : Cardiac fluid-structure fundamentally involves interactions between complex blood flows and the structural deformations of the muscular heart walls and the thin, flexible valve leaflets. This talk will detail methods and models for simulating cardiac fluid-structure interaction in a comprehensive, image-based model of the human heart. The talk will highlight key methodological approaches to developing the model along with simulation results demonstrating its ability to generate physiologic outputs, including realistic pressure-volume loops.
