As increased passive myocardial stiffness is implicated in the etiology of many cardiac diseases, its in vivo estimation can improve management of heart disease. MRI-driven computational constitutive modeling can be used to obtain subject-specific passive myocardial stiffness. We present a method for building an in silico model to estimate subject-specific passive myocardial stiffness by combining LV geometric data derived from cine bSSFP, regional kinematics extracted from tagged MRI, and myocardial microstructure measured using in vivo cDTI. This project aims to develop a clinically translatable in vivo passive myocardial stiffness evaluation framework by integrating cardiac MRI and computational modeling.
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Kolawole et al. (2024) studied this question.
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