Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium
L Cai, L Ren, Y Wang, W Xie… - Royal Society open …, 2021 - royalsocietypublishing.org
A long-standing problem at the frontier of biomechanical studies is to develop fast methods
capable of estimating material properties from clinical data. In this paper, we have studied …
capable of estimating material properties from clinical data. In this paper, we have studied …
[HTML][HTML] Prediction of left ventricular mechanics using machine learning
The goal of this paper was to provide a real-time left ventricular (LV) mechanics simulator
using machine learning (ML). Finite element (FE) simulations were conducted for the LV with …
using machine learning (ML). Finite element (FE) simulations were conducted for the LV with …
Optimizing cardiac material parameters with a genetic algorithm
AU Nair, DG Taggart, FJ Vetter - Journal of biomechanics, 2007 - Elsevier
Determining the unknown material parameters of intact ventricular myocardium can be
challenging due to highly nonlinear material behavior. Previous studies combining a …
challenging due to highly nonlinear material behavior. Previous studies combining a …
Can machine learning accelerate soft material parameter identification from complex mechanical test data?
Identifying the constitutive parameters of soft materials often requires heterogeneous
mechanical test modes, such as simple shear. In turn, interpreting the resulting complex …
mechanical test modes, such as simple shear. In turn, interpreting the resulting complex …
[HTML][HTML] In vivo estimation of passive biomechanical properties of human myocardium
Identification of in vivo passive biomechanical properties of healthy human myocardium from
regular clinical data is essential for subject-specific modelling of left ventricle (LV). In this …
regular clinical data is essential for subject-specific modelling of left ventricle (LV). In this …
[HTML][HTML] Parameter estimation in a Holzapfel–Ogden law for healthy myocardium
A central problem in biomechanical studies of personalized human left ventricular (LV)
modelling is to estimate material properties from in vivo clinical measurements. In this work …
modelling is to estimate material properties from in vivo clinical measurements. In this work …
Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats
S Longobardi, A Lewalle… - … of the Royal …, 2020 - royalsocietypublishing.org
Cardiac contraction is the result of integrated cellular, tissue and organ function. Biophysical
in silico cardiac models offer a systematic approach for studying these multi-scale …
in silico cardiac models offer a systematic approach for studying these multi-scale …
Myocardial material parameter estimation: a non–homogeneous finite element study from simple shear tests
H Schmid, P O'Callaghan, MP Nash, W Lin… - … and modeling in …, 2008 - Springer
The passive material properties of myocardium play a major role in diastolic performance of
the heart. In particular, the shear behaviour is thought to play an important mechanical role …
the heart. In particular, the shear behaviour is thought to play an important mechanical role …
Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation
A central problem in biomechanical studies of personalized human left ventricular modelling
is estimating the material properties and biophysical parameters from in vivo clinical …
is estimating the material properties and biophysical parameters from in vivo clinical …
[HTML][HTML] A machine learning model to estimate myocardial stiffness from EDPVR
In-vivo estimation of mechanical properties of the myocardium is essential for patient-
specific diagnosis and prognosis of cardiac disease involving myocardial remodeling …
specific diagnosis and prognosis of cardiac disease involving myocardial remodeling …