[HTML][HTML] WSSNet: aortic wall shear stress estimation using deep learning on 4D flow MRI

E Ferdian, DJ Dubowitz, CA Mauger… - Frontiers in …, 2022 - frontiersin.org
Wall shear stress (WSS) is an important contributor to vessel wall remodeling and
atherosclerosis. However, image-based WSS estimation from 4D Flow MRI underestimates …

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] An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement

M Castagna, S Levilly, P Paul-Gilloteaux… - Scientific Reports, 2021 - nature.com
Abstract Wall Shear Stress (WSS) has been demonstrated to be a biomarker of the
development of atherosclerosis. In vivo assessment of WSS is still challenging, but 4D Flow …

Wall shear stress estimation in the aorta: Impact of wall motion, spatiotemporal resolution, and phase noise

J Zimmermann, D Demedts, H Mirzaee… - Journal of Magnetic …, 2018 - Wiley Online Library
Background Wall shear stress (WSS) presents an important parameter for assessing blood
flow characteristics and evaluating flow‐mediated lesions in the aorta. Purpose To …

Mesh convolutional neural networks for wall shear stress estimation in 3D artery models

J Suk, P Haan, P Lippe, C Brune… - International Workshop on …, 2021 - Springer
Computational fluid dynamics (CFD) is a valuable tool for personalised, non-invasive
evaluation of hemodynamics in arteries, but its complexity and time-consuming nature …

3D quantification of wall shear stress and oscillatory shear index using a finite-element method in 3D CINE PC-MRI data of the thoracic aorta

J Sotelo, J Urbina, I Valverde, C Tejos… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Several 2D methods have been proposed to estimate WSS and OSI from PC-MRI,
neglecting the longitudinal velocity gradients that typically arise in cardiovascular flow …

Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging

J Garrido-Oliver, J Aviles, MM Córdova… - European …, 2022 - Springer
Abstract Objective Three-dimensional (3D) time-resolved phase-contrast cardiac magnetic
resonance (4D flow CMR) allows for unparalleled quantification of blood velocity. Despite …

Estimation of wall shear stress using 4D flow cardiovascular MRI and computational fluid dynamics

E Soudah, J Casacuberta… - Journal of mechanics …, 2017 - World Scientific
In the last few years, wall shear stress (WSS) has arisen as a new diagnostic indicator in
patients with arterial disease. There is a substantial evidence that the WSS plays a …

Volumetric segmentation‐free method for rapid visualization of vascular wall shear stress using 4D flow MRI

EM Masutani, F Contijoch, E Kyubwa… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose To develop a rapid segmentation‐free method to visualize and compute wall shear
stress (WSS) throughout the aorta using 4D Flow MRI data. WSS is the drag force‐per‐area …

[HTML][HTML] A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries

B Morgan, AR Murali, G Preston, YA Sima… - Frontiers in …, 2023 - frontiersin.org
With the global rise of cardiovascular disease including atherosclerosis, there is a high
demand for accurate diagnostic tools that can be used during a short consultation. In view of …