AUTHOR=Fan Yiling , Coll-Font Jaume , van den Boomen Maaike , Kim Joan H. , Chen Shi , Eder Robert Alan , Roche Ellen T. , Nguyen Christopher T. TITLE=Characterization of Exercise-Induced Myocardium Growth Using Finite Element Modeling and Bayesian Optimization JOURNAL=Frontiers in Physiology VOLUME=12 YEAR=2021 URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2021.694940 DOI=10.3389/fphys.2021.694940 ISSN=1664-042X ABSTRACT=
Cardiomyocyte growth can occur in both physiological (exercised-induced) and pathological (e.g., volume overload and pressure overload) conditions leading to left ventricular (LV) hypertrophy. Studies using animal models and histology have demonstrated the growth and remodeling process at the organ level and tissue–cellular level, respectively. However, the driving factors of growth and the mechanistic link between organ, tissue, and cellular growth remains poorly understood. Computational models have the potential to bridge this gap by using constitutive models that describe the growth and remodeling process of the myocardium coupled with finite element (FE) analysis to model the biomechanics of the heart at the organ level. Using subject-specific imaging data of the LV geometry at two different time points, an FE model can be created with the inverse method to characterize the growth parameters of each subject. In this study, we developed a framework that takes