ArticleJournal of the Royal Society, Interface2014
An automatic service for the personalization of ventricular cardiac meshes.
Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning in 3D cardiac reconstruction: a systematic review of methodologies and dataset.Medical & biological engineering & computing · 2025Pooled it
- Trial
- Quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking.PloS one · 2014Trial
- 3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2025Article
- Differentiating Left Ventricular Remodeling in Aortic Stenosis From Systemic Hypertension.Circulation. Cardiovascular imaging · 2024Article
- Left Atrial Roof Enlargement Is a Distinct Feature of Heart Failure With Preserved Ejection Fraction.Circulation. Cardiovascular imaging · 2024Article
- Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy.European heart journal. Cardiovascular Imaging · 2023Article
- Beyond Simpson's Rule: Accounting for Orientation and Ellipticity Assumptions.Ultrasound in medicine & biology · 2022Article
- A three-dimensional atlas of child's cardiac anatomy and the unique morphological alterations associated with obesity.European heart journal. Cardiovascular Imaging · 2022Article
- Understanding and Improving Risk Assessment After Myocardial Infarction Using Automated Left Ventricular Shape Analysis.JACC. Cardiovascular imaging · 2022Article
- Le Cœur en Sabot: shape associations with adverse events in repaired tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Article
- Interpretable cardiac anatomy modeling using variational mesh autoencoders.Frontiers in cardiovascular 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
- High-Order Cardiomyopathy Human Heart Model and Mesh Generation.Computing in cardiology · 2021Article
- Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation.IEEE transactions on medical imaging · 2021Article
- A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.PloS one · 2020Article
- Preterm Birth Is a Novel, Independent Risk Factor for Altered Cardiac Remodeling and Early Heart Failure: Is it Time for a New Cardiomyopathy?Current treatment options in cardiovascular medicine · 2019Review
- An Asymmetric Wall-Thickening Pattern Predicts Response to Cardiac Resynchronization Therapy.JACC. Cardiovascular imaging · 2018Article
- Patient-Specific Cardiovascular Computational Modeling: Diversity of Personalization and Challenges.Journal of cardiovascular translational research · 2018Review
- Decreasing Compensatory Ability of Concentric Ventricular Hypertrophy in Aortic-Banded Rat Hearts.Frontiers in physiology · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Computational cardiac physiology has great potential to improve the management of cardiovascular diseases. One of the main bottlenecks in this field is the customization of the computational model to the anatomical and physiological status of the patient. We present a fully automatic service for the geometrical personalization of cardiac ventricular meshes with high-order interpolation from segmented images. The method is versatile (able to work with different species and disease conditions) and robust (fully automatic results fulfilling accuracy and quality requirements in 87% of 255 cases). Results also illustrate the capability to minimize the impact of segmentation errors, to overcome the sparse resolution of dynamic studies and to remove the sometimes unnecessary anatomical detail of papillary and trabecular structures. The smooth meshes produced can be used to simulate cardiac function, and in particular mechanics, or can be used as diagnostic descriptors of anatomical shape by cardiologists. This fully automatic service is deployed in a cloud infrastructure, and has been made available and accessible to the scientific community.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.