Abstract:
This paper presents a computational biomechanics framework for quantifying human cardiac mechanical properties using Abaqus/Standard. The approach integrates finite element modeling with magnetic resonance imaging (MRI) to develop personalized left ventricular (LV) models, aimed at improving the understanding and treatment of heart failure. The methodology includes generating subject-specific geometries, imposing realistic boundary conditions, and modeling myocardial tissue behavior through a combination of passive (Fung law-based) and active contraction mechanics. Parameter optimization is achieved by coupling Abaqus with the NL-Opt optimization library, allowing precise calibration of myocardial stiffness and active stress generation properties against clinical data. The study demonstrates that this method effectively captures individual variations in cardiac biomechanics, with low variability in optimized parameters, indicating potential for predicting patient-specific cardiac function and guiding therapeutic interventions.
