AIMC Topic: Heart Atria

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High-Resolution Maps of Left Atrial Displacements and Strains Estimated With 3D Cine MRI Using Online Learning Neural Networks.

IEEE transactions on medical imaging May 2, 2025
The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI is ideally placed for the detailed 3D characterization of LA motion and deformation but is lackin...
Middle Aged Imaging, Three-Dimensional Heart Atria Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Female Humans Aged Neural Networks, Computer Adult Male
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Time Factors Magnetic Resonance Imaging Predictive Value of Tests Atrial Fibrillation Aged Male Middle Aged Deep Learning Humans Automation Blood Flow Velocity Female Atrial Function, Left Reproducibility of Results Magnetic Resonance Imaging, Cine Heart Atria Heart Rate Image Interpretation, Computer-Assisted Observer Variation
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The impact of training image quality with a novel protocol on artificial intelligence-based LGE-MRI image segmentation for potential atrial fibrillation management.

Computer methods and programs in biomedicine Mar 15, 2025
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia, affecting up to 2 % of the population. Catheter ablation is a promising treatment for AF, particularly for paroxysmal AF patients, but it often has high recurrence rates. Dev...
Databases, Factual Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Artificial Intelligence Algorithms Atrial Fibrillation Heart Atria
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Development and validation of an interpretable machine learning model for predicting left atrial thrombus or spontaneous echo contrast in non-valvular atrial fibrillation patients.

PloS one Jan 16, 2025
PURPOSE: Left atrial thrombus or spontaneous echo contrast (LAT/SEC) are widely recognized as significant contributors to cardiogenic embolism in non-valvular atrial fibrillation (NVAF). This study aimed to construct and validate an interpretable pre...
Male Echocardiography Middle Aged Risk Assessment Logistic Models Thrombosis Atrial Fibrillation Heart Atria Retrospective Studies Female Risk Factors Aged Humans Machine Learning
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12 lead surface ECGs as a surrogate of atrial electrical remodeling - a deep learning based approach.

Journal of electrocardiology Dec 25, 2024
BACKGROUND AND PURPOSE: Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electrical and structural changes, notably low voltage areas (LVAs) which are associated with poor ablation outcomes and increased thromboembolic risk. This ...
Atrial Remodeling Aged Male Middle Aged Deep Learning Humans Electrocardiography Retrospective Studies Atrial Fibrillation Female Heart Atria Catheter Ablation
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Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology Nov 29, 2024
BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aim...
Treatment Outcome Action Potentials Predictive Value of Tests Registries Fibrosis Atrial Fibrillation Heart Atria Heart Rate Male Middle Aged Risk Assessment Time Factors Atrial Remodeling Female Catheter Ablation Humans Risk Factors Recurrence Machine Learning Aged Atrial Function, Left Retrospective Studies Pulmonary Veins
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Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature.

Medical image analysis Oct 22, 2024
Computational models of atrial fibrillation (AF) can help improve success rates of interventions, such as ablation. However, evaluating the efficacy of different treatments requires performing multiple costly simulations by pacing at different points...
Fibrosis Atrial Fibrillation Heart Atria Models, Cardiovascular Humans Machine Learning Algorithms Computer Simulation
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Neural network reconstruction of the left atrium using sparse catheter paths.

International journal of computer assisted radiology and surgery Sep 16, 2024
PURPOSE: Catheter-based radiofrequency ablation for pulmonary vein isolation has become the first line of treatment for atrial fibrillation in recent years. This requires a rather accurate map of the left atrial sub-endocardial surface including the ...
Humans Neural Networks, Computer Algorithms Pulmonary Veins Imaging, Three-Dimensional Atrial Fibrillation Heart Atria Catheter Ablation
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Clinical value of artificial intelligence 3D echocardiography in evaluating left atrial volume and pulmonary vein structure in patients with atrial fibrillation.

Clinics (Sao Paulo, Brazil) Sep 15, 2024
OBJECTIVE: To explore the clinical value of 3D Echocardiography (3DE) in evaluating the changes of left atrial volume and pulmonary vein structure in patients with Atrial Fibrillation (AF).
Middle Aged Case-Control Studies Organ Size Reproducibility of Results Atrial Fibrillation Reference Values Humans Aged Heart Atria Artificial Intelligence Adult Echocardiography, Three-Dimensional Female Male Pulmonary Veins
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DECNet: Left Atrial Pulmonary Vein Class Imbalance Classification Network.

Journal of imaging informatics in medicine Aug 20, 2024
In clinical practice, the anatomical classification of pulmonary veins plays a crucial role in the preoperative assessment of atrial fibrillation radiofrequency ablation surgery. Accurate classification of pulmonary vein anatomy assists physicians in...
Pulmonary Veins Humans Deep Learning Atrial Fibrillation Heart Atria
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