Abstract
Computational models of cardiac contraction can provide critical insight into cardiac function and dysfunction. A necessary step before employing these computational models is their validation. Here we propose a series of validation criteria based on left ventricular (LV) global (ejection fraction and twist) and local (strains in a cylindrical coordinate system, aggregate cardiomyocyte shortening, and low myocardial compressibility) MRI measures to characterize LV motion and deformation during contraction. These validation criteria are used to evaluate an LV finite element model built from subject-specific anatomy and aggregate cardiomyocyte orientations reconstructed from diffusion tensor MRI. We emphasize the key role of the simulation boundary conditions in approaching the physiologically correct motion and strains during contraction. We conclude by comparing the global and local validation criteria measures obtained using two different boundary conditions: the first constraining the LV base and the second taking into account the presence of the pericardium, which leads to greatly improved motion and deformation.
The research reported in this publication was supported by NIH/NHLBI K25-HL135408 and R01-HL131823 grants, and UCLA URSP. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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Ponnaluri, A.V.S., Verzhbinsky, I.A., Eldredge, J.D., Garfinkel, A., Ennis, D.B., Perotti, L.E. (2019). Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions. In: Coudière, Y., Ozenne, V., Vigmond, E., Zemzemi, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2019. Lecture Notes in Computer Science(), vol 11504. Springer, Cham. https://doi.org/10.1007/978-3-030-21949-9_32
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