An ensemble Kalman filter approach to parameter estimation for patient-specific cardiovascular flow modeling
Many previous studies have shown that the fidelity of three-dimensional cardiovascular flow
simulations depends strongly on inflow and outflow boundary conditions that accurately …
simulations depends strongly on inflow and outflow boundary conditions that accurately …
Uncertainty quantification in a patient-specific one-dimensional arterial network model: EnKF-based inflow estimator
Successful clinical use of patient-specific models for cardiovascular dynamics depends on
the reliability of the model output in the presence of input uncertainties. For 1D fluid …
the reliability of the model output in the presence of input uncertainties. For 1D fluid …
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 …
Data assimilation and uncertainty quantification in cardiovascular biomechanics
R Lal - 2017 - theses.hal.science
Cardiovascular blood flow simulations can fill several critical gaps in current clinical
capabilities. They offer non-invasive ways to quantify hemodynamics in the heart and major …
capabilities. They offer non-invasive ways to quantify hemodynamics in the heart and major …
Data assimilation by stochastic ensemble kalman filtering to enhance turbulent cardiovascular flow data from under-resolved observations
D De Marinis, D Obrist - Frontiers in cardiovascular medicine, 2021 - frontiersin.org
We propose a data assimilation methodology that can be used to enhance the spatial and
temporal resolution of voxel-based data as it may be obtained from biomedical imaging …
temporal resolution of voxel-based data as it may be obtained from biomedical imaging …
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 …
Reduced-order unscented kalman filter with observations in the frequency domain: application to computational hemodynamics
Objective: The aim of this paper is to assess the potential of the reduced-order unscented
Kalman's filter (ROUKF) in the context of computational hemodynamics, in order to estimate …
Kalman's filter (ROUKF) in the context of computational hemodynamics, in order to estimate …
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 …
Inverse problems in reduced order models of cardiovascular haemodynamics: aspects of data assimilation and heart rate variability
Inverse problems in cardiovascular modelling have become increasingly important to
assess each patient individually. These problems entail estimation of patient-specific model …
assess each patient individually. These problems entail estimation of patient-specific model …
A parameter estimation framework for patient-specific hemodynamic computations
We propose a fully automated parameter estimation framework for performing patient-
specific hemodynamic computations in arterial models. To determine the personalized …
specific hemodynamic computations in arterial models. To determine the personalized …