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[HTML][HTML] 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update
Hemodynamic assessment is an integral part of the diagnosis and management of
cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging …
cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging …
AI in medical imaging informatics: current challenges and future directions
This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …
imaging informatics, discusses clinical translation, and provides future directions for …
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Advances in computational science offer a principled pipeline for predictive modeling of
cardiovascular flows and aspire to provide a valuable tool for monitoring, diagnostics and …
cardiovascular flows and aspire to provide a valuable tool for monitoring, diagnostics and …
Imaging assessment of tricuspid regurgitation severity
Assessing the severity of tricuspid regurgitation remains a challenging task, and although
echocardiography is the test of choice, significant limitations of the current recommendations …
echocardiography is the test of choice, significant limitations of the current recommendations …
[HTML][HTML] 4D flow cardiovascular magnetic resonance consensus statement
Pulsatile blood flow through the cavities of the heart and great vessels is time-varying and
multidirectional. Access to all regions, phases and directions of cardiovascular flows has …
multidirectional. Access to all regions, phases and directions of cardiovascular flows has …
Phase-contrast MRI: physics, techniques, and clinical applications
DT Wymer, KP Patel, WF Burke III, VK Bhatia - Radiographics, 2020 - pubs.rsna.org
With phase-contrast imaging, the MRI signal is used to visualize and quantify velocity. This
imaging modality relies on phase data, which are intrinsic to all MRI signals. With use of …
imaging modality relies on phase data, which are intrinsic to all MRI signals. With use of …
[HTML][HTML] Aortic flow patterns and wall shear stress maps by 4D-flow cardiovascular magnetic resonance in the assessment of aortic dilatation in bicuspid aortic valve …
Background In patients with bicuspid valve (BAV), ascending aorta (AAo) dilatation may be
caused by altered flow patterns and wall shear stress (WSS). These differences may explain …
caused by altered flow patterns and wall shear stress (WSS). These differences may explain …
Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning
Cardiovascular diseases are the leading cause of mortality, morbidity, and hospitalization
around the world. Recent technological advances have facilitated analyzing, visualizing …
around the world. Recent technological advances have facilitated analyzing, visualizing …
Physics-informed neural networks for brain hemodynamic predictions using medical imaging
Determining brain hemodynamics plays a critical role in the diagnosis and treatment of
various cerebrovascular diseases. In this work, we put forth a physics-informed deep …
various cerebrovascular diseases. In this work, we put forth a physics-informed deep …
[HTML][HTML] Particle image velocimetry-classical operating rules from today's perspective
Over the last four decades, particle image velocimetry (PIV) has evolved into a powerful and
significant measurement technique. The technique has been applied to many areas of fluid …
significant measurement technique. The technique has been applied to many areas of fluid …