SimVascular: an open source pipeline for cardiovascular simulation
Patient-specific cardiovascular simulation has become a paradigm in cardiovascular
research and is emerging as a powerful tool in basic, translational and clinical research. In …
research and is emerging as a powerful tool in basic, translational and clinical research. In …
Computational modeling of cardiac hemodynamics: current status and future outlook
The proliferation of four-dimensional imaging technologies, increasing computational
speeds, improved simulation algorithms, and the widespread availability of powerful …
speeds, improved simulation algorithms, and the widespread availability of powerful …
On the choice of outlet boundary conditions for patient-specific analysis of aortic flow using computational fluid dynamics
Boundary conditions (BCs) are an essential part in computational fluid dynamics (CFD)
simulations of blood flow in large arteries. Although several studies have investigated the …
simulations of blood flow in large arteries. Although several studies have investigated the …
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 …
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics
Standard approaches for uncertainty quantification in cardiovascular modeling pose
challenges due to the large number of uncertain inputs and the significant computational …
challenges due to the large number of uncertain inputs and the significant computational …
Energetics of blood flow in cardiovascular disease: concept and clinical implications of adverse energetics in patients with a Fontan circulation
FM Rijnberg, MG Hazekamp, JJ Wentzel… - Circulation, 2018 - Am Heart Assoc
Visualization and quantification of the adverse effects of distorted blood flow are important
emerging fields in cardiology. Abnormal blood flow patterns can be seen in various …
emerging fields in cardiology. Abnormal blood flow patterns can be seen in various …
Multiscale modeling of cardiovascular flows for clinical decision support
AL Marsden… - Applied …, 2015 - asmedigitalcollection.asme.org
Patient-specific cardiovascular simulations can provide clinicians with predictive tools, fill
current gaps in clinical imaging capabilities, and contribute to the fundamental …
current gaps in clinical imaging capabilities, and contribute to the fundamental …
A methodological paradigm for patient‐specific multi‐scale CFD simulations: from clinical measurements to parameter estimates for individual analysis
SUMMARY A new framework for estimation of lumped (for instance, Windkessel) model
parameters from uncertain clinical measurements is presented. The ultimate aim is to …
parameters from uncertain clinical measurements is presented. The ultimate aim is to …
Cardiovascular models for personalised medicine: Where now and where next?
The aim of this position paper is to provide a brief overview of the current status of
cardiovascular modelling and of the processes required and some of the challenges to be …
cardiovascular modelling and of the processes required and some of the challenges to be …