AIMC Topic: Echocardiography, Three-Dimensional

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Feedback Attention to Enhance Unsupervised Deep Learning Image Registration in 3D Echocardiography.

IEEE transactions on medical imaging May 2, 2025
Cardiac motion estimation is important for assessing the contractile health of the heart, and performing this in 3D can provide advantages due to the complex 3D geometry and motions of the heart. Deep learning image registration (DLIR) is a robust wa...
Deep Learning Humans Unsupervised Machine Learning Algorithms Heart Female Echocardiography, Three-Dimensional Adult
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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Stroke Volume Prevalence Severity of Illness Index Hemodynamics Aged Aged, 80 and over Male Ventricular Function, Left Automation Echocardiography, Doppler Blood Flow Velocity Echocardiography, Three-Dimensional Aortic Valve Stenosis Aortic Valve Humans Predictive Value of Tests Machine Learning Image Interpretation, Computer-Assisted Female Reproducibility of Results
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3D velocity and pressure field reconstruction in the cardiac left ventricle via physics informed neural network from echocardiography guided by 3D color Doppler.

Computer methods and programs in biomedicine Feb 13, 2025
Fluid dynamics of the heart chamber can provide critical biological cues for understanding cardiac health and disease and have the potential for supporting diagnosis and prognosis. However, directly acquiring fluid dynamics information from clinical ...
Computer Simulation Image Processing, Computer-Assisted Heart Ventricles Blood Flow Velocity Humans Neural Networks, Computer Algorithms Hydrodynamics Echocardiography, Doppler, Color Echocardiography, Three-Dimensional
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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 Reference Values Atrial Fibrillation Heart Atria Echocardiography, Three-Dimensional Pulmonary Veins Reproducibility of Results Aged Adult Male Humans Artificial Intelligence Female
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Mitral Valve Segmentation and Tracking from Transthoracic Echocardiography Using Deep Learning.

Ultrasound in medicine & biology Feb 9, 2024
OBJECTIVE: Valvular heart diseases (VHDs) pose a significant public health burden, and deciding the best treatment strategy necessitates accurate assessment of heart valve function. Transthoracic echocardiography (TTE) is the key modality to evaluate...
Mitral Valve Mitral Valve Insufficiency Heart Valve Diseases Echocardiography, Transesophageal Humans Biomarkers Echocardiography Deep Learning Echocardiography, Three-Dimensional
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Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency.

The international journal of cardiovascular imaging Oct 23, 2023
Machine learning techniques designed to recognize views and perform measurements are increasingly used to address the need for automation of the interpretation of echocardiographic images. The current study was designed to determine whether a recentl...
Reproducibility of Results Echocardiography Deep Learning Predictive Value of Tests Humans Workflow Heart Ventricles Observer Variation Echocardiography, Three-Dimensional
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Artificial intelligence for automated evaluation of aortic measurements in 2D echocardiography: Feasibility, accuracy, and reproducibility.

Echocardiography (Mount Kisco, N.Y.) Oct 20, 2022
AIMS: This study sought to examine the feasibility, accuracy and reproducibility of a novel, fully automated 2D transthoracic echocardiography (2D TTE) parasternal long axis (PLAX) view aortic measurements quantification software compared to board-ce...
Humans Artificial Intelligence Retrospective Studies Feasibility Studies Reproducibility of Results Aorta Echocardiography Echocardiography, Three-Dimensional Aortic Valve
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Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images.

Computational and mathematical methods in medicine Sep 13, 2021
Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and treatment. No single echocardiographic method has been recommended for MR quantification thus far. We sought to define the feasibility and accuracy of the...
Male Female Humans Middle Aged Computational Biology Neural Networks, Computer Aged Severity of Illness Index Aged, 80 and over Mitral Valve Insufficiency Algorithms Deep Learning Adult Echocardiography, Doppler, Color Echocardiography, Three-Dimensional
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Deep Learning-Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution.

Circulation. Cardiovascular imaging Jun 15, 2021
BACKGROUND: We have recently tested an automated machine-learning algorithm that quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical views. However, in the point-of-care (POC) setting, apical 2-chamber views are...
Stroke Volume Point-of-Care Systems Middle Aged Deep Learning Heart Ventricles Echocardiography, Three-Dimensional Young Adult Adult Male Ventricular Function, Left Humans Reproducibility of Results Algorithms Aged Prospective Studies Aged, 80 and over Female
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Artificial Intelligence-Powered Measurement of Left Ventricular Ejection Fraction Using a Handheld Ultrasound Device.

Ultrasound in medicine & biology Jan 13, 2021
The aim of this study was to assess the accuracy of an algorithm for automated measurement of left ventricular ejection fraction (LVEF) available on handheld ultrasound devices (HUDs). One hundred twelve patients admitted to the cardiology department...
Aged Male Humans Stroke Volume Middle Aged Echocardiography Artificial Intelligence Heart Ventricles Software Heart Diseases Female Echocardiography, Three-Dimensional
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