AIMC Topic: Blood Flow Velocity

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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...
Humans Middle Aged Deep Learning Time Factors Magnetic Resonance Imaging Female Reproducibility of Results Aged Male Blood Flow Velocity Atrial Function, Left Magnetic Resonance Imaging, Cine Heart Rate Image Interpretation, Computer-Assisted Predictive Value of Tests Observer Variation Atrial Fibrillation Automation Heart Atria
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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 Automation Prevalence Echocardiography, Doppler Severity of Illness Index Humans Blood Flow Velocity Hemodynamics Machine Learning Echocardiography, Three-Dimensional Aged, 80 and over Female Aortic Valve Stenosis Male Reproducibility of Results Aortic Valve Ventricular Function, Left Aged Predictive Value of Tests Image Interpretation, Computer-Assisted
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Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network.

Computers in biology and medicine Mar 26, 2025
Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research to model flow in blood vessels and airways. It is further useful to some clinical applications, such as predicting arterial fractional flow reserves,...
Hydrodynamics Models, Cardiovascular Pulsatile Flow Computer Simulation Hemodynamics Blood Flow Velocity Humans Neural Networks, Computer
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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 ...
Image Processing, Computer-Assisted Heart Ventricles Blood Flow Velocity Hydrodynamics Echocardiography, Doppler, Color Echocardiography, Three-Dimensional Humans Neural Networks, Computer Algorithms Computer Simulation
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High-resolution hemodynamic estimation from ultrafast ultrasound image velocimetry using a physics-informed neural network.

Physics in medicine and biology Jan 9, 2025
Estimating the high-resolution (HR) blood flow velocity and pressure fields for the diagnosis and treatment of vascular diseases remains challenging.. In this study, a physics-informed neural network (PINN) with a refined mapping capability was combi...
Blood Flow Velocity Physics Physical Phenomena Humans Neural Networks, Computer Animals Hemodynamics Time Factors Ultrasonography Image Processing, Computer-Assisted Rheology
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Pinning down the accuracy of physics-informed neural networks under laminar and turbulent-like aortic blood flow conditions.

Computers in biology and medicine Dec 20, 2024
BACKGROUND: Physics-informed neural networks (PINNs) are increasingly being used to model cardiovascular blood flow. The accuracy of PINNs is dependent on flow complexity and could deteriorate in the presence of highly-dynamical blood flow conditions...
Aorta Models, Cardiovascular Humans Aortic Coarctation Neural Networks, Computer Hemodynamics Blood Flow Velocity
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Predicting high-flow arteriovenous fistulas and cardiac outcomes in hemodialysis patients.

Journal of vascular surgery Dec 2, 2024
BACKGROUND: Heart failure is common in patients receiving hemodialysis. A high-flow arteriovenous fistula (AVF) may represent a modifiable risk factor for heart failure and death. Currently, no tools exist to assess the risk of developing a high-flow...
Female Risk Factors Aged Male Middle Aged Risk Assessment Renal Dialysis Time Factors Humans Heart Failure Machine Learning Treatment Outcome Regional Blood Flow Decision Support Techniques Australia Blood Flow Velocity Retrospective Studies Predictive Value of Tests Arteriovenous Shunt, Surgical
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Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Intraventricular vector flow mapping (iVFM) seeks to enhance and quantify color Doppler in cardiac imaging. In this study, we propose novel alternatives to the traditional iVFM optimization scheme using physics-informed neural networks (PINNs) and a ...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Heart Ventricles Blood Flow Velocity Models, Cardiovascular Echocardiography, Doppler, Color
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Physics-Informed Graph Neural Networks to solve 1-D equations of blood flow.

Computer methods and programs in biomedicine Sep 20, 2024
BACKGROUND AND OBJECTIVE: Computational models of hemodynamics can contribute to optimizing surgical plans, and improve our understanding of cardiovascular diseases. Recently, machine learning methods have become essential to reduce the computational...
Blood Flow Velocity Models, Cardiovascular Arteries Humans Machine Learning Neural Networks, Computer Algorithms Computer Simulation Hemodynamics
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A comparison of machine learning methods for recovering noisy and missing 4D flow MRI data.

International journal for numerical methods in biomedical engineering Aug 28, 2024
Experimental blood flow measurement techniques are invaluable for a better understanding of cardiovascular disease formation, progression, and treatment. One of the emerging methods is time-resolved three-dimensional phase-contrast magnetic resonance...
Blood Flow Velocity Hemodynamics Imaging, Three-Dimensional Magnetic Resonance Imaging Signal-To-Noise Ratio Humans Machine Learning Algorithms
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