Abstract
Computational simulations of the heart are a powerful tool for a comprehensive understanding of cardiac function and its intrinsic relationship with its muscular architecture. Cardiac biomechanical models require a vector field representing the orientation of cardiac fibers. A wrong orientation of the fibers can lead to a non-realistic simulation of the heart functionality.
In this paper we explore the impact of the fiber information on the simulated biomechanics of cardiac muscular anatomy. We have used the John Hopkins database to perform a biomechanical simulation using both a synthetic benchmark fiber distribution and the data obtained experimentally from DTI. Results illustrate how differences in fiber orientation affect heart deformation along cardiac cycle.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bishop, M.J., Hales, P., Plank, G., Gavaghan, D.J., Scheider, J., Grau, V.: Comparison of Rule-Based and DTMRI-Derived Fibre Architecture in a Whole Rat Ventricular Computational Model. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 87–96. Springer, Heidelberg (2009)
Fitzhugh, R.: Impulses and physiological states in theoretical models of nerve membrane. Biophysical Journal 1(6), 445–466 (1961)
Frindel, C., Schaerer, J., Gueth, P., Clarysse, P., Zhu, Y.-M., Robini, M.: A global approach to cardiac tractography. In: ISBI, pp. 883–886 (2008)
Gurev, V., Lee, T., Constantino, J., et al.: Models of cardiac electromechanics based on individual hearts imaging data. Biomech. Mod. Mechanobiology 10(3), 295–306 (2011)
Helm, P., Faisal, M., Miller, M.I., Winslow, R.L.: Measuring and mapping cardiac fiber and laminar architecture using diffusion tensor MR imaging. Ann. N. Y. Acad. Sci. 1047, 296–307 (2005)
Houzeaux, G., Aubry, R., Vázquez, M.: Extension of fractional step techniques for incompressible flows: The preconditioned orthomin(1) for the pressure schur complement. Computers and Fluids 44(1), 297–313 (2011)
Nielsen, P., Le Grice, I., Smail, B., Hunter, P.: Mathematical model of geometry and fibrous structure of the heart. Am. J. Physiol. 260(29), H1365–H1378 (1991)
Vázquez, M., Lafortune, P., Aris, R., Houzeaux, G.: Coupled parallel electromechanical model of the heart. Int. J. Num. Meth. Biomed. Eng. 28(1), 72–86 (2012)
Peskin, C.S.: Fiber architecture of the left ventricular wall: An asymptotic analysis. Comm. on Pure and App. Math. 42(1), 79–113 (1989)
Pitt-Francis, J.M., Pathmanathan, P., Bernabeu, M.O., et al.: Chaste: a test-driven approach to software development for biological modelling. Comp. Phys. Comm. 180(12), 2452–2471 (2009)
Plank, G., Burton, R., Hales, P., et al.: Generation of histo-anatomically representative models of the individual heart: tools and application. Phil. Trans. Royal Soc. 367, 2257–2292 (1896)
Potse, M., Dube, B., Richer, J., et al.: A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart. Trans. Biomed. Eng. 53(12), 2425–2435 (2006)
Quinn, T.A., Casero, R., Burton, R.A.B., et al.: Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. In: EMBC, WeBPo10.7 (2010)
Rohmer, D., Sitek, A., Gullberg, G.: Reconstruction and visualization of fiber and laminar structure in the normal human heart from ex vivo diffusion tensor magnetic resonance imaging DTMRI data. Invest. Radiol. 42(11), 777–789 (2007)
Savadjiev, P., Strijkers, G.J., Bakermans, A.J., et al.: Heart wall myofibers are arranged in minimal surfaces to optimize organ function. Proc. Natl. Acad. Sci. 109(24), 9248–9253 (2012)
Scollan, D.F., Holmes, A., Winslow, R., Forder, J.: Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging. Am. J. Physiol. 275(6 Pt 2), H2308–H2318 (1998)
Stevens, C., Remme, E., LeGrice, I., Hunter, P.: Ventricular mechanics in diastole: material parameter sensitivity. J. Biomech. 36, 737–748 (2003)
Streeter, D.D., Spotnitz, H.M., Patel, D.P., et al.: Fiber orientation in the canine left ventricle during diastole and systole. Circ. Res. 24(2), 339–347 (1969)
Vadakkumpadan, F., Arevalo, H., Prassl, A.J., et al.: Image-based models of cardiac structure in health and disease. Wiley Interdiscip. Rev. Syst. Biol. Med. 2(4), 489–506 (2010)
Vazquez, M., Aris, R., Hozeaux, G., et al.: A massively parallel computational electrophysiology model of the heart. Int. J. Num. Meth. Biomed. Eng. 27, 1911–1929 (2011)
Vetter, F.J., McCulloch, A.D.: Three-dimensional analysis of regional cardiac function: a model of rabbit ventricular anatomy. Prog. Biophys. Mol. Biol. 69, 157–183 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gil, D. et al. (2013). What a Difference in Biomechanics Cardiac Fiber Makes. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2012. Lecture Notes in Computer Science, vol 7746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36961-2_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-36961-2_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36960-5
Online ISBN: 978-3-642-36961-2
eBook Packages: Computer ScienceComputer Science (R0)