ArticleInternational journal for numerical methods in biomedical engineering2021
Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function.
Article in International journal for numerical methods in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed.
- Prediction of arrhythmogenesis in non-ischemic cardiac resynchronization therapy patients.APL bioengineering · 2026Article
- Coupling Models of Resistive Valves to Muscle Mechanics in Cardiac Fluid-Structure Interaction Simulations.International journal for numerical methods in biomedical engineering · 2025Article
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- Defining myocardial fiber bundle architecture in atrial digital twins.Computers in biology and medicine · 2025Article
- Accurate Reconstruction of Right Heart Shape and Motion From Cine-MRI for Image-Driven Computational Hemodynamics.International journal for numerical methods in biomedical engineering · 2025Article
- Image-Based Computational Fluid Dynamics to Compare Two Repair Techniques for Mitral Valve Prolapse.Annals of biomedical engineering · 2024Article
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- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.Scientific reports · 2024Article
- The role of computational methods in cardiovascular medicine: a narrative review.Translational pediatrics · 2024Review
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.bioRxiv : the preprint server for biology · 2024Article
- Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI.Biomechanics and modeling in mechanobiology · 2023Article
- lifex-ep: a robust and efficient software for cardiac electrophysiology simulations.BMC bioinformatics · 2023Article
- A comprehensive mathematical model for cardiac perfusion.Scientific reports · 2023Article
- An Image-Based Computational Fluid Dynamics Study of Mitral Regurgitation in Presence of Prolapse.Cardiovascular engineering and technology · 2023Article
- lifex-fiber: an open tool for myofibers generation in cardiac computational models.BMC bioinformatics · 2023Article
- An Overview of Traditional and Advanced Visualization Techniques Applied to Anatomical Instruction Involving Cadaveric Dissection.Advances in experimental medicine and biology · 2023Article
- Computational electrophysiology of the coronary sinus branches based on electro-anatomical mapping for the prediction of the latest activated region.Medical & biological engineering & computing · 2022Article
- Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022Review
- Prediction of myocardial blood flow under stress conditions by means of a computational model.European journal of nuclear medicine and molecular imaging · 2022Article
- A narrative review of modern approach and outcomes evaluation in congenital heart defects.Translational pediatrics · 2021Review
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2 authors.
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Abstract
In order to simulate the cardiac function for a patient-specific geometry, the generation of the computational mesh is crucially important. In practice, the input is typically a set of unprocessed polygonal surfaces coming either from a template geometry or from medical images. These surfaces need ad-hoc processing to be suitable for a volumetric mesh generation. In this work we propose a set of new algorithms and tools aiming to facilitate the mesh generation process. In particular, we focus on different aspects of a cardiac mesh generation pipeline: (1) specific polygonal surface processing for cardiac geometries, like connection of different heart chambers or segmentation outputs; (2) generation of accurate boundary tags; (3) definition of mesh-size functions dependent on relevant geometric quantities; (4) processing and connecting together several volumetric meshes. The new algorithms-implemented in the open-source software vmtk-can be combined with each other allowing the creation of personalized pipelines, that can be optimized for each cardiac geometry or for each aspect of the cardiac function to be modeled. Thanks to these features, the proposed tools can significantly speed-up the mesh generation process for a large range of cardiac applications, from single-chamber single-physics simulations to multi-chambers multi-physics simulations. We detail all the proposed algorithms motivating them in the cardiac context and we highlight their flexibility by showing different examples of cardiac mesh generation pipelines.
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