[HTML][HTML] 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update

MM Bissell, F Raimondi, LA Ali, BD Allen… - Journal of …, 2023 - Elsevier
Hemodynamic assessment is an integral part of the diagnosis and management of
cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging …

AI in medical imaging informatics: current challenges and future directions

AS Panayides, A Amini, ND Filipovic… - IEEE journal of …, 2020 - ieeexplore.ieee.org
This paper reviews state-of-the-art research solutions across the spectrum of medical
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

G Kissas, Y Yang, E Hwuang, WR Witschey… - Computer Methods in …, 2020 - Elsevier
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 …

Imaging assessment of tricuspid regurgitation severity

RT Hahn, JD Thomas, OK Khalique… - JACC: Cardiovascular …, 2019 - jacc.org
Assessing the severity of tricuspid regurgitation remains a challenging task, and although
echocardiography is the test of choice, significant limitations of the current recommendations …

[HTML][HTML] 4D flow cardiovascular magnetic resonance consensus statement

P Dyverfeldt, M Bissell, AJ Barker, AF Bolger… - Journal of …, 2015 - Elsevier
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 …

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 …

Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning

H Moradi, A Al-Hourani, G Concilia, F Khoshmanesh… - Biophysical …, 2023 - Springer
Cardiovascular diseases are the leading cause of mortality, morbidity, and hospitalization
around the world. Recent technological advances have facilitated analyzing, visualizing …

Physics-informed neural networks for brain hemodynamic predictions using medical imaging

M Sarabian, H Babaee, K Laksari - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Particle image velocimetry-classical operating rules from today's perspective

S Scharnowski, CJ Kähler - Optics and Lasers in Engineering, 2020 - Elsevier
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 …