[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 …

4D flow MRI

M Markl, A Frydrychowicz, S Kozerke… - Journal of Magnetic …, 2012 - Wiley Online Library
Traditionally, magnetic resonance imaging (MRI) of flow using phase contrast (PC) methods
is accomplished using methods that resolve single‐directional flow in two spatial …

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

M Raissi, A Yazdani, GE Karniadakis - Science, 2020 - science.org
For centuries, flow visualization has been the art of making fluid motion visible in physical
and biological systems. Although such flow patterns can be, in principle, described by the …

Hidden fluid mechanics: A Navier-Stokes informed deep learning framework for assimilating flow visualization data

M Raissi, A Yazdani, GE Karniadakis - arXiv preprint arXiv:1808.04327, 2018 - arxiv.org
We present hidden fluid mechanics (HFM), a physics informed deep learning framework
capable of encoding an important class of physical laws governing fluid motions, namely the …

[HTML][HTML] Comprehensive 4D velocity mapping of the heart and great vessels by cardiovascular magnetic resonance

M Markl, PJ Kilner, T Ebbers - Journal of Cardiovascular Magnetic …, 2011 - Elsevier
Background Phase contrast cardiovascular magnetic resonance (CMR) is able to measure
all three directional components of the velocities of blood flow relative to the three spatial …

Super-resolution and denoising of 4D-flow MRI using physics-informed deep neural nets

MF Fathi, I Perez-Raya, A Baghaie, P Berg… - Computer Methods and …, 2020 - Elsevier
Abstract Background and Objective: Time resolved three-dimensional phase contrast
magnetic resonance imaging (4D-Flow MRI) has been used to non-invasively measure …

Image-based modeling of blood flow and vessel wall dynamics: applications, methods and future directions: Sixth International Bio-Fluid Mechanics Symposium and …

CA Taylor, DA Steinman - Annals of biomedical engineering, 2010 - Springer
The objective of our session at the 2008 International Bio-Fluid Symposium and Workshop
was to review the state-of-the-art in image-based modeling of blood flow, and identify future …

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 …

Computational fluid dynamic simulation of human carotid artery bifurcation based on anatomy and volumetric blood flow rate measured with magnetic resonance …

H Gharahi, BA Zambrano, DC Zhu, JK DeMarco… - International journal of …, 2016 - Springer
Blood flow patterns and local hemodynamic parameters have been widely associated with
the onset and progression of atherosclerosis in the carotid artery. Assessment of these …

What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review

KM Saqr, S Rashad, S Tupin… - Journal of Cerebral …, 2020 - journals.sagepub.com
Despite the plethora of published studies on intracranial aneurysms (IAs) hemodynamic
using computational fluid dynamics (CFD), limited progress has been made towards …