Trabeculae carneae are irregular structures that cover the endocardial surfaces of both ventricles and account for a significant portion of human ventricular mass. The role of trabeculae carneae in diastolic and systolic functions of the left ventricle (LV) is not well understood. Thus, the objective of this study was to investigate the functional role of trabeculae carneae in the LV. Finite element (FE) analyses of ventricular functions were conducted for three different models of human LV derived from high-resolution magnetic resonance imaging (MRI). The first model comprised trabeculae carneae and papillary muscles, while the second model had papillary muscles and partial trabeculae carneae, and the third model had a smooth endocardial surface. We customized these patient-specific models with myofiber architecture generated with a rule-based algorithm, diastolic material parameters of Fung strain energy function derived from biaxial tests and adjusted with the empirical Klotz relationship, and myocardial contractility constants optimized for average normal ejection fraction (EF) of the human LV. Results showed that the partial trabeculae cutting model had enlarged end-diastolic volume (EDV), reduced wall stiffness, and even increased end-systolic function, indicating that the absence of trabeculae carneae increased the compliance of the LV during diastole, while maintaining systolic function.
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September 2019
Research-Article
Computational Modeling of Human Left Ventricle to Assess the Effects of Trabeculae Carneae on the Diastolic and Systolic Functions
Fatemeh Fatemifar,
Fatemeh Fatemifar
Department of Mechanical Engineering,
University of Texas at San Antonio,
San Antonio, TX 78249
University of Texas at San Antonio,
San Antonio, TX 78249
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Marc D. Feldman,
Marc D. Feldman
Department of Medicine,
University of Texas Health Science Center
at San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
University of Texas Health Science Center
at San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
Search for other works by this author on:
Geoffrey D. Clarke,
Geoffrey D. Clarke
Research Imaging Institute,
University of Texas Health Science Center at
San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
University of Texas Health Science Center at
San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
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Ender A. Finol,
Ender A. Finol
Department of Mechanical Engineering,
University of Texas at San Antonio,
San Antonio, TX 78249;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
University of Texas at San Antonio,
San Antonio, TX 78249;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
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Hai-Chao Han
Hai-Chao Han
Department of Mechanical Engineering,
University of Texas at San Antonio,
San Antonio, TX 78249;
Fellow ASME
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
e-mail: hchan@utsa.edu
University of Texas at San Antonio,
San Antonio, TX 78249;
Fellow ASME
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
e-mail: hchan@utsa.edu
1Corresponding author.
Search for other works by this author on:
Fatemeh Fatemifar
Department of Mechanical Engineering,
University of Texas at San Antonio,
San Antonio, TX 78249
University of Texas at San Antonio,
San Antonio, TX 78249
Marc D. Feldman
Department of Medicine,
University of Texas Health Science Center
at San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
University of Texas Health Science Center
at San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
Geoffrey D. Clarke
Research Imaging Institute,
University of Texas Health Science Center at
San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
University of Texas Health Science Center at
San Antonio,
San Antonio, TX 78229;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
Ender A. Finol
Department of Mechanical Engineering,
University of Texas at San Antonio,
San Antonio, TX 78249;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
University of Texas at San Antonio,
San Antonio, TX 78249;
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
Hai-Chao Han
Department of Mechanical Engineering,
University of Texas at San Antonio,
San Antonio, TX 78249;
Fellow ASME
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
e-mail: hchan@utsa.edu
University of Texas at San Antonio,
San Antonio, TX 78249;
Fellow ASME
Biomedical Engineering Joint Graduate Program,
UTSA-UTHSCSA,
San Antonio, TX 78249
e-mail: hchan@utsa.edu
1Corresponding author.
Dedicated to Dr. YC Fung in celebration of his contribution to Biomechanics and his 100th Birthday. Manuscript received March 4, 2019; final manuscript received May 18, 2019; published online August 2, 2019. Assoc. Editor: Shu Q. Liu.
J Biomech Eng. Sep 2019, 141(9): 091014 (10 pages)
Published Online: August 2, 2019
Article history
Received:
March 4, 2019
Revised:
May 18, 2019
Citation
Fatemifar, F., Feldman, M. D., Clarke, G. D., Finol, E. A., and Han, H. (August 2, 2019). "Computational Modeling of Human Left Ventricle to Assess the Effects of Trabeculae Carneae on the Diastolic and Systolic Functions." ASME. J Biomech Eng. September 2019; 141(9): 091014. https://doi.org/10.1115/1.4043831
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