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Ponnaluri AVS, Verzhbinsky IA, Eldredge JD, et al. Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions. Funct Imaging Model Heart. 2019;11504:294-303doi: 10.1007/978-3-030-21949-9_32.
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. Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH, 11504294-303. https://doi.org/10.1007/978-3-030-21949-9_32
Ponnaluri, Aditya V S, et al. "Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions." Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH vol. 11504 (2019): 294-303. doi: https://doi.org/10.1007/978-3-030-21949-9_32
Ponnaluri AVS, Verzhbinsky IA, Eldredge JD, Garfinkel A, Ennis DB, Perotti LE. Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions. Funct Imaging Model Heart. 2019 Jun;11504:294-303. doi: 10.1007/978-3-030-21949-9_32. Epub 2019 May 30. PMID: 31231721; PMCID: PMC6588286.
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Funct Imaging Model Heart. 2019 Jun;11504:294-303. doi: 10.1007/978-3-030-21949-9_32. Epub 2019 May 30.

Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions.

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH

Aditya V S Ponnaluri, Ilya A Verzhbinsky, Jeff D Eldredge, Alan Garfinkel, Daniel B Ennis, Luigi E Perotti

Affiliations

  1. Department of Mechanical and Aerospace Engineering, University of California Los Angeles, Los Angeles, CA 90095, USA.
  2. Department of Radiology, Stanford University, Stanford, CA 94305, USA.
  3. Departments of Medicine (Cardiology) and Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA 90095, USA.
  4. Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA.

PMID: 31231721 PMCID: PMC6588286 DOI: 10.1007/978-3-030-21949-9_32

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.

Keywords: Boundary conditions; Cardiac contraction; MRI; Validation criteria

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