ArticleAnnals of biomedical engineering2016
Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling.
Article in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- HeartSimSage: Attention-Enhanced Graph Neural Networks for Accelerating Cardiac Mechanics Modeling.Journal of computational physics · 2026Article
- Assessing the importance of sex and disease-specific anatomy in electrophysiology and mechanical simulations with a newly developed public virtual cohort of four-chamber heart models.PLoS computational biology · 2026Article
- An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology.Medical image analysis · 2026Article
- Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models.PLoS computational biology · 2025Article
- Digital Twin Models in Atrial Fibrillation: Charting the Future of Precision Therapy?Journal of personalized medicine · 2025Review
- From bits to bedside: entering the age of digital twins in cardiac electrophysiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Review
- Source Localization and Classification of Pulmonary Valve-Originated Electrocardiograms Using Volume Conductor Modeling with Anatomical Models.Biosensors · 2024Article
- A Semi-automatic Pipeline for Generation of Large Cohorts of Four-Chamber Heart Meshes.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar.PLoS computational biology · 2022Article
- An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias.Medical image analysis · 2022Article
- An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics-A Multi-Fidelity Approach for Personalising Active Mechanics.Mathematics (Basel, Switzerland) · 2022Article
- Determining anatomical and electrophysiological detail requirements for computational ventricular models of porcine myocardial infarction.Computers in biology and medicine · 2022Article
- A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation.Computer methods in applied mechanics and engineering · 2021Article
- Linking statistical shape models and simulated function in the healthy adult human heart.PLoS computational biology · 2021Article
- An Inverse Eikonal Method for Identifying Ventricular Activation Sequences from Epicardial Activation Maps.Journal of computational physics · 2020Article
- Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of Windkessel-type afterload models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.PloS one · 2020Article
- Factors Promoting Conduction Slowing as Substrates for Block and Reentry in Infarcted Hearts.Biophysical journal · 2019Article
- Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis.International journal for numerical methods in biomedical engineering · 2018Article
- Personalized computational modeling of left atrial geometry and transmural myofiber architecture.Medical image analysis · 2018Article
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Authors and funding
12 authors.
Funding
Abstract
Computational models of cardiac electromechanics (EM) are increasingly being applied to clinical problems, with patient-specific models being generated from high fidelity imaging and used to simulate patient physiology, pathophysiology and response to treatment. Current structured meshes are limited in their ability to fully represent the detailed anatomical data available from clinical images and capture complex and varied anatomy with limited geometric accuracy. In this paper, we review the state of the art in image-based personalization of cardiac anatomy for biophysically detailed, strongly coupled EM modeling, and present our own tools for the automatic building of anatomically and structurally accurate patient-specific models. Our method relies on using high resolution unstructured meshes for discretizing both physics, electrophysiology and mechanics, in combination with efficient, strongly scalable solvers necessary to deal with the computational load imposed by the large number of degrees of freedom of these meshes. These tools permit automated anatomical model generation and strongly coupled EM simulations at an unprecedented level of anatomical and biophysical detail.
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Registered trials
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