[HTML][HTML] Cardiovascular magnetic resonance phase contrast imaging

KS Nayak, JF Nielsen, MA Bernstein, M Markl… - Journal of …, 2015 - Elsevier
Cardiovascular magnetic resonance (CMR) phase contrast imaging has undergone a wide
range of changes with the development and availability of improved calibration procedures …

[HTML][HTML] Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels

H Gao, L Sun, JX Wang - Physics of Fluids, 2021 - pubs.aip.org
High-resolution (HR) information of fluid flows, although preferable, is usually less
accessible due to limited computational or experimental resources. In many cases, fluid data …

[HTML][HTML] Accelerated aortic 4D flow cardiovascular magnetic resonance using compressed sensing: applicability, validation and clinical integration

E Neuhaus, K Weiss, R Bastkowski… - Journal of …, 2019 - Elsevier
Background Three-dimensional time-resolved phase-contrast cardiovascular magnetic
resonance (4D flow CMR) enables the quantification and visualisation of blood flow, but its …

Evaluation of 4D flow MRI-based non-invasive pressure assessment in aortic coarctations

S Saitta, S Pirola, F Piatti, E Votta, F Lucherini… - Journal of …, 2019 - Elsevier
Severity of aortic coarctation (CoA) is currently assessed by estimating trans-coarctation
pressure drops through cardiac catheterization or echocardiography. In principle, more …

SRflow: Deep learning based super-resolution of 4D-flow MRI data

S Shit, J Zimmermann, I Ezhov, JC Paetzold… - Frontiers in Artificial …, 2022 - frontiersin.org
Exploiting 4D-flow magnetic resonance imaging (MRI) data to quantify hemodynamics
requires an adequate spatio-temporal vector field resolution at a low noise level. To address …

Nonlinear multiscale regularisation in MR elastography: Towards fine feature mapping

E Barnhill, L Hollis, I Sack, J Braun, PR Hoskins… - Medical image …, 2017 - Elsevier
Fine-featured elastograms may provide additional information of radiological interest in the
context of in vivo elastography. Here a new image processing pipeline called ESP …

Merging computational fluid dynamics and 4D Flow MRI using proper orthogonal decomposition and ridge regression

A Bakhshinejad, A Baghaie, A Vali, D Saloner… - Journal of …, 2017 - Elsevier
Time resolved phase-contrast magnetic resonance imaging 4D-PCMR (also called 4D Flow
MRI) data while capable of non-invasively measuring blood velocities, can be affected by …

Wall shear stress estimation for 4D flow MRI using Navier–Stokes equation correction

J Zhang, SM Rothenberger, MC Brindise… - Annals of biomedical …, 2022 - Springer
This study introduces a novel wall shear stress (WSS) estimation method for 4D flow MRI.
The method improves the WSS accuracy by using the reconstructed pressure gradient and …

[HTML][HTML] Left atrial 4D flow cardiovascular magnetic resonance: a reproducibility study in sinus rhythm and atrial fibrillation

M Spartera, G Pessoa-Amorim, A Stracquadanio… - Journal of …, 2021 - Elsevier
Abstract Background Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR)
allows sophisticated quantification of left atrial (LA) blood flow, and could yield novel …

General phase regularized reconstruction using phase cycling

F Ong, JY Cheng, M Lustig - Magnetic resonance in medicine, 2018 - Wiley Online Library
Purpose To develop a general phase regularized image reconstruction method, with
applications to partial Fourier imaging, water–fat imaging and flow imaging. Theory and …