[HTML][HTML] Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease
Physics-based computational models of the cardiovascular system are increasingly used to
simulate hemodynamics, tissue mechanics, and physiology in evolving healthy and …
simulate hemodynamics, tissue mechanics, and physiology in evolving healthy and …
Learning reduced-order models for cardiovascular simulations with graph neural networks
Reduced-order models based on physics are a popular choice in cardiovascular modeling
due to their efficiency, but they may experience loss in accuracy when working with …
due to their efficiency, but they may experience loss in accuracy when working with …
Automated generation of 0D and 1D reduced‐order models of patient‐specific blood flow
Abstract Three‐dimensional (3D) cardiovascular fluid dynamics simulations typically require
hours to days of computing time on a high‐performance computing cluster. One …
hours to days of computing time on a high‐performance computing cluster. One …
On the periodicity of cardiovascular fluid dynamics simulations
Three-dimensional cardiovascular fluid dynamics simulations typically require computation
of several cardiac cycles before they reach a periodic solution, rendering them …
of several cardiac cycles before they reach a periodic solution, rendering them …
Modeling blood flow in networks of viscoelastic vessels with the 1-D augmented fluid–structure interaction system
A noteworthy aspect in blood flow modeling is the definition of the mechanical interaction
between the fluid flow and the biological structure that contains it, namely the vessel wall …
between the fluid flow and the biological structure that contains it, namely the vessel wall …
Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model
This work aims at identifying and quantifying uncertainties related to elastic and viscoelastic
parameters, which characterize the arterial wall behavior, in one-dimensional modeling of …
parameters, which characterize the arterial wall behavior, in one-dimensional modeling of …
[HTML][HTML] A semi-implicit finite volume scheme for blood flow in elastic and viscoelastic vessels
A novel staggered semi-implicit finite volume method for the simulation of one-dimensional
blood flow in networks of elastic and viscoelastic vessels is proposed. The one-dimensional …
blood flow in networks of elastic and viscoelastic vessels is proposed. The one-dimensional …
A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced‐order model
Y Zhou, Y He, J Wu, C Cui, M Chen… - International Journal for …, 2022 - Wiley Online Library
Precise model personalization is a key step towards the application of cardiovascular
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …
Determining clinically-viable biomarkers for ischaemic stroke through a mechanistic and machine learning approach
I Benemerito, AP Narata, A Narracott… - Annals of Biomedical …, 2022 - Springer
Assessment of distal cerebral perfusion after ischaemic stroke is currently only possible
through expensive and time-consuming imaging procedures which require the injection of a …
through expensive and time-consuming imaging procedures which require the injection of a …
The effect of cardiac properties on arterial pulse waves: An in‐silico study
This study investigated the effects of cardiac properties variability on arterial pulse wave
morphology using blood flow modelling and pulse wave analysis. A lumped‐parameter …
morphology using blood flow modelling and pulse wave analysis. A lumped‐parameter …