Unraveling diurnal and technical variability in cerebral hemodynamics from neurovascular 4D-Flow MRI

LA Rivera-Rivera, GS Roberts, A Peret… - Journal of Cerebral …, 2024 - journals.sagepub.com
Neurovascular 4D-Flow MRI enables non-invasive evaluation of cerebral hemodynamics
including measures of cerebral blood flow (CBF), vessel pulsatility index (PI), and cerebral …

Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learning

D Long, C McMurdo, E Ferdian, CA Mauger… - … International Journal of …, 2023 - Springer
Abstract Changes in cardiovascular hemodynamics are closely related to the development
of aortic regurgitation (AR), a type of valvular heart disease. Metrics derived from blood flows …

Optimizing encoding strategies for 4D Flow MRI of mean and turbulent flow

P Dirix, S Buoso, S Kozerke - Scientific Reports, 2024 - nature.com
Abstract For 4D Flow MRI of mean and turbulent flow a compromise between spatiotemporal
undersampling and velocity encodings needs to be found. Assuming a fixed scan time …

Observation of intracranial artery and venous sinus hemodynamics using compressed sensing-accelerated 4D flow MRI: performance at different acceleration factors

J Cao, C Yuan, Y Zhang, Y Quan, P Chang… - Frontiers in …, 2024 - frontiersin.org
Objective To investigate the feasibility and performance of 4D flow MRI accelerated by
compressed sensing (CS) for the hemodynamic quantification of intracranial artery and …

Generalized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular system

L Ericsson, A Hjalmarsson, MU Akbar… - IEEE journal of …, 2024 - ieeexplore.ieee.org
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement
technique capable of quantifying blood flow across the cardiovascular system. While …

[HTML][HTML] Accelerated Phase Contrast MRI with Use of Resolution Enhancement Generative Adversarial Neural Network

MA Morales, F Ghanbari, ÖB Demirel, JA Street… - Journal of …, 2024 - Elsevier
Background Cardiovascular magnetic resonance (CMR) phase-contrast is used to quantify
blood flow. We sought to develop a complex-difference reconstruction for inline super …

SELFNet: Denoising Shear Wave Elastography Using Spatial-temporal Fourier Feature Networks

Y Xie, Y Huang, JA Hossack - Ultrasound in Medicine & Biology, 2024 - Elsevier
Objective Ultrasound-based shear wave elastography offers estimation of tissue stiffness
through analysis of the propagation of a shear wave induced by a stimulus. Displacement or …

Providing next-generation haemodynamic risk prediction through multiscale imaging of cardiovascular pressure gradients: the Horizon Europe MultiPRESS project

D Marlevi - 2023 - academic.oup.com
Regional quantification of cardiovascular pressure gradients is critical for diagnosis,
treatment planning, and risk prediction of many cardiovascular diseases. Still, for a large …

Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning

D Long, C McMurdo, E Ferdian, CA Mauger… - arXiv preprint arXiv …, 2021 - arxiv.org
Changes in cardiovascular hemodynamics are closely related to the development of aortic
regurgitation, a type of valvular heart disease. Metrics derived from blood flows are used to …

Generalized super-resolution of 4D Flow MRI: extending capabilities using ensemble learning

A Hjalmarsson, L Ericsson - 2023 - diva-portal.org
Abstract 4D Flow Magnet Resonance Imaging (4D Flow MRI) is a novel non-invasive
technique for imaging of cardiovascular blood flow. However, when utilized as a stand-alone …