ArticlePloS one2014
Atlas-based quantification of cardiac remodeling due to myocardial infarction.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Sex-specific shape models to disentangle sex effects and age-associated anatomical variation in biventricular cardiac anatomy.European heart journal. Imaging methods and practice · 2026Article
- Hybrid method for automatic initialization and segmentation of ventricular on large-scale cardiovascular magnetic resonance images.BMC medical imaging · 2025Article
- Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy.European heart journal. Cardiovascular Imaging · 2023Article
- Multi-Ethnic Study of Atherosclerosis: Relationship between Left Ventricular Shape at Cardiac MRI and 10-year Outcomes.Radiology · 2023Article
- Aortic Dissection is Determined by Specific Shape and Hemodynamic Interactions.Annals of biomedical engineering · 2022Article
- Analysing functional implications of differences in left ventricular morphology using statistical shape modelling.Scientific reports · 2022Article
- On the Left Ventricular Remodeling of Patients with Stenotic Aortic Valve: A Statistical Shape Analysis.Bioengineering (Basel, Switzerland) · 2021Article
- Linking statistical shape models and simulated function in the healthy adult human heart.PLoS computational biology · 2021Article
- Atlas-based methods for efficient characterization of patient-specific ventricular activation patterns.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 · 2021Article
- Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis.Frontiers in cardiovascular medicine · 2021Article
- Three-dimensional regional bi-ventricular shape remodeling is associated with exercise capacity in endurance athletes.European journal of applied physiology · 2020Article
- Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors.Journal of personalized medicine · 2020Article
- Combining Statistical Shape Model and Principal Component Analysis to Estimate Left Ventricular Volume and Ejection Fraction.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Modeling left ventricular dynamics with characteristic deformation modes.Biomechanics and modeling in mechanobiology · 2019Article
- A Statistical Shape Model Approach for Computing Left Ventricle Volume and Ejection Fraction Using Multi-plane Ultrasound Images.VipIMAGE 2019 : proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16-18, 2019, Porto, Portugal. VipIMAGE (Conference) (2019 : Porto, Portugal) · 2019Article
- Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019Article
- Deep learning cardiac motion analysis for human survival prediction.Nature machine intelligence · 2019Article
- Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study.Scientific reports · 2019Article
- Machine Learning Approaches for Myocardial Motion and Deformation Analysis.Frontiers in cardiovascular medicine · 2019Review
- Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease.Journal of cardiovascular translational research · 2018Review
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11 authors.
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Abstract
Myocardial infarction leads to changes in the geometry (remodeling) of the left ventricle (LV) of the heart. The degree and type of remodeling provides important diagnostic information for the therapeutic management of ischemic heart disease. In this paper, we present a novel analysis framework for characterizing remodeling after myocardial infarction, using LV shape descriptors derived from atlas-based shape models. Cardiac magnetic resonance images from 300 patients with myocardial infarction and 1991 asymptomatic volunteers were obtained from the Cardiac Atlas Project. Finite element models were customized to the spatio-temporal shape and function of each case using guide-point modeling. Principal component analysis was applied to the shape models to derive modes of shape variation across all cases. A logistic regression analysis was performed to determine the modes of shape variation most associated with myocardial infarction. Goodness of fit results obtained from end-diastolic and end-systolic shapes were compared against the traditional clinical indices of remodeling: end-diastolic volume, end-systolic volume and LV mass. The combination of end-diastolic and end-systolic shape parameter analysis achieved the lowest deviance, Akaike information criterion and Bayesian information criterion, and the highest area under the receiver operating characteristic curve. Therefore, our framework quantitatively characterized remodeling features associated with myocardial infarction, better than current measures. These features enable quantification of the amount of remodeling, the progression of disease over time, and the effect of treatments designed to reverse remodeling effects.
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