[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 …
Efficient identification of myocardial material parameters and the stress-free reference configuration for patient-specific human heart models
Image-based computational models of the heart represent a powerful tool to shed new light
on the mechanisms underlying physiological and pathological conditions in cardiac function …
on the mechanisms underlying physiological and pathological conditions in cardiac function …
Validating MRI-Derived Myocardial Stiffness Estimates Using In Vitro Synthetic Heart Models
Impaired cardiac filling in response to increased passive myocardial stiffness contributes to
the pathophysiology of heart failure. By leveraging cardiac MRI data and ventricular …
the pathophysiology of heart failure. By leveraging cardiac MRI data and ventricular …
Deep learning-derived myocardial strain
AC Kwan, EW Chang, I Jain, J Theurer, X Tang… - JACC: Cardiovascular …, 2024 - Elsevier
Background Echocardiographic strain measurements require extensive operator experience
and have significant intervendor variability. Creating an automated, open-source, vendor …
and have significant intervendor variability. Creating an automated, open-source, vendor …
Modelling in vivo cardiac mechanics using MRI and FEM
Y Wang - 2012 - researchspace.auckland.ac.nz
The role of myocardial mechanical properties in the progression of cardiovascular diseases
such as heart failure (HF) remains poorly understood. In order to elucidate the mechanisms …
such as heart failure (HF) remains poorly understood. In order to elucidate the mechanisms …
[HTML][HTML] An inverse finite element method for determining the tissue compressibility of human left ventricular wall during the cardiac cycle
The determination of the myocardium's tissue properties is important in constructing
functional finite element (FE) models of the human heart. To obtain accurate properties …
functional finite element (FE) models of the human heart. To obtain accurate properties …
[HTML][HTML] Improved identifiability of myocardial material parameters by an energy-based cost function
Myocardial stiffness is a valuable clinical biomarker for the monitoring and stratification of
heart failure (HF). Cardiac finite element models provide a biomechanical framework for the …
heart failure (HF). Cardiac finite element models provide a biomechanical framework for the …
Automated personalised human left ventricular FE models to investigate heart failure mechanics
We have developed finite element modelling techniques to semi-automatically generate
personalised biomechanical models of the human left ventricle (LV) based on cardiac …
personalised biomechanical models of the human left ventricle (LV) based on cardiac …
In vivo estimation of normal left ventricular stiffness and contractility based on routine cine MR acquisition
GK Rumindo, J Ohayon, P Croisille… - Medical Engineering & …, 2020 - Elsevier
Post-myocardial infarction remodeling process is known to alter the mechanical properties of
the heart. Biomechanical parameters, such as tissue stiffness and contractility, would be …
the heart. Biomechanical parameters, such as tissue stiffness and contractility, would be …
[HTML][HTML] Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference …
Image-based computational models of the heart represent a powerful tool to shed new light
on the mechanisms underlying physiological and pathological conditions in cardiac function …
on the mechanisms underlying physiological and pathological conditions in cardiac function …