ArticleInternational journal for numerical methods in biomedical engineering2019
Automatic mapping of atrial fiber orientations for patient-specific modeling of cardiac electromechanics using image registration.
Article in International journal for numerical methods in biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Biomimetic electrospun scaffolds for engineered heart tissue: from design parameters to drug testing platforms.Frontiers in bioengineering and biotechnology · 2026Review
- A Left Atrial Positioning System to Enable Follow-up and Cohort Studies.IEEE transactions on bio-medical engineering · 2025Article
- Heart in a knot: unraveling the impact of the nested tori myofiber architecture on ventricular mechanics.Biomechanics and modeling in mechanobiology · 2025Article
- Defining myocardial fiber bundle architecture in atrial digital twins.Computers in biology and medicine · 2025Article
- Article
- lifex-fiber: an open tool for myofibers generation in cardiac computational models.BMC bioinformatics · 2023Article
- Rule-based definition of muscle bundles in patient-specific models of the left atrium.Frontiers in physiology · 2022Article
- Constructing a Human Atrial Fibre Atlas.Annals of biomedical engineering · 2021Article
- Translational applications of computational modelling for patients with cardiac arrhythmias.Heart (British Cardiac Society) · 2020Review
- Automatic mapping of atrial fiber orientations for patient-specific modeling of cardiac electromechanics using image registration.International journal for numerical methods in biomedical engineering · 2019Article
- Personalized biomechanical insights in atrial fibrillation: opportunities & challenges.Expert review of cardiovascular therapyReview
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Knowledge of appropriate local fiber architecture is necessary to simulate patient-specific electromechanics in the human heart. However, it is not yet possible to reliably measure in vivo fiber directions especially in human atria. Thus, we present a method that defines the fiber architecture in arbitrarily shaped atria using image registration and reorientation methods based on atlas atria with fibers predefined from detailed histological observations. Thereby, it is possible to generate detailed fiber families in every new patient-specific geometry in an automated, time-efficient process. We demonstrate the good performance of the image registration and fiber definition on 10 differently shaped human atria. Additionally, we show that characteristics of the electrophysiological activation pattern that appear in the atlas atria also appear in the patients' atria. We arrive to analogous conclusions for coupled electro-mechano-hemodynamical computations.
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