Key result
An Abaqus/Standard-based computational pipeline successfully created subject-specific left ventricular models from MRI data in 5 normal human subjects, demonstrating low variability in cardiac material parameters.
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An Abaqus/Standard-based computational pipeline can reliably personalize left ventricular mechanical models from MRI data, providing a foundation for in silico studies of cardiac procedures.
Computational modeling can provide critical insight into existing and potential new surgical procedures, medical or minimally-invasive treatments for heart failure, one of the leading causes of deaths in the world that has reached epidemic proportions. In this paper, we present our Abaqus/Standard-based pipeline to create subject-specific left ventricular models. We first review our generic left ventricular model, and then the personalization process based on magnetic resonance images. Identification of subject-specific cardiac material properties is done by coupling Abaqus/Standard to the python optimization library NL-Opt. Compared to previous studies from our group, the emphasis is here on the fully implicit solving of the model, and the two-parameter optimization of the passive cardiac material properties.
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Genet et al. (2016) studied Healthy (n=5). Abaqus/Standard-based computational modeling pipeline was evaluated on Identification of passive and active cardiac material parameters (C0, B0, Tmax). An Abaqus/Standard-based computational pipeline successfully created subject-specific left ventricular models from MRI data in 5 normal human subjects, demonstrating low variability in cardiac material parameters.
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