AIMC Topic: Blood Flow Velocity

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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 8, 2024
BACKGROUND: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data int...
Blood Flow Velocity Aged Aorta Young Adult Perfusion Imaging Adult Image Interpretation, Computer-Assisted Male Humans Bicuspid Aortic Valve Disease Neural Networks, Computer Middle Aged Deep Learning Female Datasets as Topic Case-Control Studies Aortic Valve Reproducibility of Results Hemodynamics Predictive Value of Tests Regional Blood Flow
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Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.

PLoS computational biology Jun 20, 2024
Computational fluid dynamics (CFD) can be used for non-invasive evaluation of hemodynamics. However, its routine use is limited by labor-intensive manual segmentation, CFD mesh creation, and time-consuming simulation. This study aims to train a deep ...
Proof of Concept Study Blood Flow Velocity Hydrodynamics Models, Cardiovascular Imaging, Three-Dimensional Computational Biology Magnetic Resonance Imaging Humans Pulmonary Artery Neural Networks, Computer Hemodynamics Deep Learning
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Physics-informed neural networks for parameter estimation in blood flow models.

Computers in biology and medicine Jun 5, 2024
BACKGROUND: Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving inverse problems, especially in cases where no complete information about the system is known and scatter measurements are available. This is especially ...
Hemodynamics Blood Flow Velocity Aorta Models, Cardiovascular Humans Neural Networks, Computer Computer Simulation
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Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast.

Magnetic resonance in medicine May 31, 2024
PURPOSE: Tricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the rapidly moving valvular plane prohibits direct flow evaluation, but they are vitally important to diastolic function evaluation. We developed an automa...
Female Reproducibility of Results Adult Male Humans Algorithms Diastole Magnetic Resonance Imaging, Cine Tricuspid Valve Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Systole Blood Flow Velocity Stroke Volume Middle Aged Deep Learning
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Diastolic function assessment with four-dimensional flow cardiovascular magnetic resonance using automatic deep learning E/A ratio analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 30, 2024
BACKGROUND: Diastolic left ventricular (LV) dysfunction is a powerful contributor to the symptoms and prognosis of patients with heart failure. In patients with depressed LV systolic function, the E/A ratio, the ratio between the peak early (E) and t...
Myocardial Ischemia Echocardiography, Doppler Blood Flow Velocity Diastole Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Automation Magnetic Resonance Imaging, Cine Male Ventricular Function, Left Humans Middle Aged Female Deep Learning Reproducibility of Results Chronic Disease Aged Predictive Value of Tests Mitral Valve
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Automated mitral inflow Doppler peak velocity measurement using deep learning.

Computers in biology and medicine Feb 23, 2024
Doppler echocardiography is a widely utilised non-invasive imaging modality for assessing the functionality of heart valves, including the mitral valve. Manual assessments of Doppler traces by clinicians introduce variability, prompting the need for ...
Ultrasonography, Doppler Echocardiography, Doppler Blood Flow Velocity Deep Learning Mitral Valve
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Artificial intelligence-based speckle featurization and localization for ultrasound speckle tracking velocimetry.

Ultrasonics Jan 11, 2024
Deep learning-based super-resolution ultrasound (DL-SRU) framework has been successful in improving spatial resolution and measuring the velocity field information of a blood flows by localizing and tracking speckle signals of red blood cells (RBCs) ...
Algorithms Ultrasonography Rheology Blood Flow Velocity Artificial Intelligence
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Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 10, 2024
BACKGROUND: 4D flow MRI enables assessment of cardiac function and intra-cardiac blood flow dynamics from a single acquisition. However, due to the poor contrast between the chambers and surrounding tissue, quantitative analysis relies on the segment...
Humans Databases, Factual Female Image Interpretation, Computer-Assisted Automation Blood Flow Velocity Coronary Circulation Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Middle Aged Deep Learning Predictive Value of Tests Heart Ventricles Reproducibility of Results Male Ventricular Function, Left
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HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.

IEEE journal of biomedical and health informatics Oct 5, 2023
Synthetic digital twins based on medical data accelerate the acquisition, labelling and decision making procedure in digital healthcare. A core part of digital healthcare twins is model-based data synthesis, which permits the generation of realistic ...
Deep Learning Humans Magnetic Resonance Imaging Heart Heart Ventricles Blood Flow Velocity Magnetic Resonance Imaging, Cine
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Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI.

Computer methods and programs in biomedicine Sep 6, 2023
BACKGROUND AND OBJECTIVE: Phase contrast magnetic resonance imaging (4D flow MRI) is an imaging technique able to provide blood velocity in vivo and morphological information. This capability has been used to study mainly the hemodynamics of large ve...
Humans Magnetic Resonance Imaging Neural Networks, Computer Magnetic Resonance Angiography Deep Learning Blood Flow Velocity
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