A flexible framework for sequential estimation of model parameters in computational hemodynamics
A major challenge in constructing three dimensional patient specific hemodynamic models
is the calibration of model parameters to match patient data on flow, pressure, wall motion …
is the calibration of model parameters to match patient data on flow, pressure, wall motion …
[图书][B] Modeling of physiological flows
This book offers a mathematical update of the state of the art of the research in the field of
mathematical and numerical models of the circulatory system. It is structured into different …
mathematical and numerical models of the circulatory system. It is structured into different …
Sequential identification of boundary support parameters in a fluid-structure vascular model using patient image data
Viscoelastic support has been previously established as a valuable modeling ingredient to
represent the effect of surrounding tissues and organs in a fluid-structure vascular model. In …
represent the effect of surrounding tissues and organs in a fluid-structure vascular model. In …
From image data to computational domains
The advent of high-resolution imaging systems and powerful computational resources has
made it possible to obtain information about the in vivo anatomy of blood vessels in a non …
made it possible to obtain information about the in vivo anatomy of blood vessels in a non …
Parameter selection methods in inverse problem formulation
HT Banks, A Cintrón-Arias, F Kappel - Mathematical modeling and …, 2012 - Springer
We discuss methods for a priori selection of parameters to be estimated in inverse problem
formulations (such as Maximum Likelihood, Ordinary and Generalized Least Squares) for …
formulations (such as Maximum Likelihood, Ordinary and Generalized Least Squares) for …
Data assimilation and modelling of patient-specific single-ventricle physiology with and without valve regurgitation
A closed-loop lumped parameter model of blood circulation is considered for single-ventricle
shunt physiology. Its parameters are estimated by an inverse problem based on patient …
shunt physiology. Its parameters are estimated by an inverse problem based on patient …
Data assimilation for identification of cardiovascular network characteristics
A method to estimate the hemodynamics parameters of a network of vessels using an
Ensemble Kalman filter is presented. The elastic moduli (Young's modulus) of blood vessels …
Ensemble Kalman filter is presented. The elastic moduli (Young's modulus) of blood vessels …
[HTML][HTML] Medical image-based computational fluid dynamics and fluid-structure interaction analysis in vascular diseases
Hemodynamic factors, induced by pulsatile blood flow, play a crucial role in vascular health
and diseases, such as the initiation and progression of atherosclerosis. Computational fluid …
and diseases, such as the initiation and progression of atherosclerosis. Computational fluid …
Computational hemodynamics in arteries with the one-dimensional augmented fluid-structure interaction system: viscoelastic parameters estimation and comparison …
Mathematical models are widely recognized as a valuable tool for cardiovascular diagnosis
and the study of circulatory diseases, especially to obtain data that require otherwise …
and the study of circulatory diseases, especially to obtain data that require otherwise …
Assessment of reduced‐order unscented Kalman filter for parameter identification in 1‐dimensional blood flow models using experimental data
This work presents a detailed investigation of a parameter estimation approach on the basis
of the reduced‐order unscented Kalman filter (ROUKF) in the context of 1‐dimensional …
of the reduced‐order unscented Kalman filter (ROUKF) in the context of 1‐dimensional …