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An algorithmic scheme for the automated calculation of fiber orientations in arterial walls

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Abstract

We propose an algorithmic scheme for the numerical calculation of fiber orientations in arterial walls. The basic assumption behind the procedure is that the fiber orientations are mainly governed by the principal tensile stress directions resulting in an improved load transfer within the artery as a consequence of the redistribution of stresses. This reflects the biological motivation that soft tissues continuously adapt to their mechanical environment in order to optimize their load-bearing capacities. The algorithmic scheme proposed here enhances efficiency of the general procedure given in Hariton et al. (Biomech Model Mechanobiol 6(3):163–175, 2007), which consists of repeatedly identifying a favored fiber orientation based on the principal tensile stresses under a certain loading scenario, and then re-calculating the stresses for that loading scenario with the modified favored fiber orientation. Since the method still depends on a highly accurate stress approximation of the finite element formulation, which is not straightforward to obtain in particular for incompressible and highly anisotropic materials, furthermore, a modified model is introduced. This model defines the favored fiber orientation not only in terms of the local principal stresses, but in terms of the volume averages of the principal stresses computed over individual finite elements. Thereby, the influence of imperfect stress approximations can be weakened leading to a stabilized convergence of the reorientation procedure and a more reasonable fiber orientation with less numerical noise. The performance of the proposed fiber reorientation scheme is investigated with respect to different finite element formulations and different favored fiber orientation models, Hariton et al. (Biomech Model Mechanobiol 6(3):163–175, 2007) and Cyron and Humphrey (Math Mech Solids 1–17, 2014). In addition, it is applied to calculate the fiber orientation in a patient-specific arterial geometry.

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References

  1. Ball JM (1977) Convexity conditions and existence theorems in non-linear elasticity. Arch Ration Mech Anal 63:337–403

    Article  MATH  Google Scholar 

  2. Balzani D, Böse D, Brands D, Erbel R, Klawonn A, Rheinbach O, Schröder J (2012) Parallel simulation of patient-specific atherosclerotic arteries for the enhancement of intravascular ultrasound diagnostics. Eng Comput 29(8):888–906

    Article  Google Scholar 

  3. Balzani D, Deparis S, Fausten S, Forti D, Heinlein A, Klawonn A, Quarteroni A, Rheinbach O, Schröder J (2015) Numerical modeling of fluid-structure interaction in arteries with anisotropic polyconvex hyperelastic and anisotropic viscoelastic material models at finite strains. Int J Numer Methods Biomed Eng. ISSN 2040-7947 doi:10.1002/cnm.2756

  4. Balzani D, Neff P, Schröder J, Holzapfel GA (2006) A polyconvex framework for soft biological tissues. adjustment to experimental data. Int J Solids Struct 43(20):6052–6070

    Article  MathSciNet  MATH  Google Scholar 

  5. Boehler JP (1987) Introduction to the invariant formulation of anisotropic constitutive equations. In: Boehler JP (eds) Applications of tensor functions in solid mechanics, number 292 in Courses and Lectures of CISM, Springer, Berlin, pp. 13–30

  6. Brands D, Klawonn A, Rheinbach O, Schröder J (2008) Modelling and convergence in arterial wall simulations using a parallel FETI solution strategy. Comput Methods Biomech Biomed Eng 11(5):569–583

    Article  Google Scholar 

  7. Creane A, Maher E, Sultan S, Hynes N, Kelly DJ, Lally C (2011) Prediction of fibre architecture and adaptation in diseased carotid bifurcations. Biomech Model Mechanobiol 10:831–843

    Article  Google Scholar 

  8. Creane A, Maher E, Sultan S, Hynes N, Kelly DJ, Lally C (2012) A remodelling metric for angular fibre distributions and its application to diseased carotid bifurcations. Biomech Model Mechanobiol 11:869–882

    Article  Google Scholar 

  9. Cyron CJ, Humphrey JD (2014) Preferred fiber orientations in healthy arteries and veins understood from netting analysis. Math Mech Solids, 20(6):680–696

  10. Driessen N, Peters G, Huyghe J, Bouten C, Baaijens F (2008) Remodelling of continuously distributed collagen fibres in soft connective tissues. J Biomech 36(8):1151–1158

    Article  Google Scholar 

  11. Driessen N, Wilson W, Bouten C, Baaijens F (2004) A computational model for collagen fibre remodelling in the arterial wall. J Theor Biol 226(1):53–64

    Article  Google Scholar 

  12. Grillo A, Wittum G, Tomic S, Federico A (2015) Remodelling in statistically oriented fibre-reinforced materials and biological tissues. Math Mech Solids 20:1107–1129

    Article  MathSciNet  MATH  Google Scholar 

  13. Hariton I, deBotton G, Gasser TC, Holzapfel GA (2007a) Stress-driven collagen fiber remodeling in arterial walls. Biomech Model Mechanobiol 6(3):163–175

    Article  MathSciNet  Google Scholar 

  14. Hariton I, de Botton G, Gasser TC, Holzapfel GA (2007b) Stress-modulated collagen fiber remodeling in a human carotid bifurcation. J Theor Biol 248(3):460–470

    Article  MathSciNet  Google Scholar 

  15. Hartmann S, Neff P (2003) Polyconvexity of generalized polynomial-type hyperelastic strain energy functions for near-incompressibility. Int J Solids Struct 40:2767–2791

    Article  MathSciNet  MATH  Google Scholar 

  16. Himpel G, Menzel A, Kuhl E, Steinmann P (2008) Time-dependent fibre reorientation of transversely isotropic continua-finite element formulation and consistent linearization. Int J Numer Methods Eng 73(10):1413–1433

    Article  MathSciNet  MATH  Google Scholar 

  17. Holzapfel G (2006) Determination of material models for arterial walls from uniaxial extension tests and histological structure. J Theor Biol 238(2):290–302

    Article  MathSciNet  Google Scholar 

  18. Holzapfel GA, Gasser TC, Ogden RW (2000) A new constitutive framework for arterial wall mechanics and a comparative study of material models. J Elast Phys Sci Solids 61(1–3):1–48

    MathSciNet  MATH  Google Scholar 

  19. Kuhl E, Holzapfel GA (2007) A continuum model for remodeling in living structures. J Mater Sci 42(21):8811–8823

    Article  Google Scholar 

  20. Menzel A, Waffenschmidt T (2009) A microsphere-based remodelling formulation for anisotropic biological tissues. Philos Trans R Soc A 367:3499–3523

    Article  MathSciNet  MATH  Google Scholar 

  21. O’Connell MK, Murthy S, Phan S, Xu C, Buchanan J, Spilker R, Dalman RL, Zarins CK, Denk W, Taylor CA (2008) The three-dimensional micro- and nanostructure of the aortic medial lamellar unit measured using 3d confocal and electron microscopy imaging. Matrix Biol 27:171–181

    Article  Google Scholar 

  22. Qi N, Ogden RW, Hill NA, Holzapfel GA, Han H, Luo X (2015) Investigation of the optimal collagen fibre orientation in human iliac arteries. J Mech Behav Biomed Mater. doi:10.1016/j.jmbbm.2015.06.11

  23. Sansour C (2008) On the physical assumptions underlying the volumetric-isochoric split and the case of anisotropy. Eur J Mech A Solids 27:28–39

  24. Schriefl AJ, Wolinski H, Regitnig P, Kohlwein SD, Holzapfel GA (2012) An automated approach for three-dimensional quantification of fibrillar structures in optically cleared soft biological tissues. J R Soc Interface, 10(80):20120760. doi:10.1098/rsif.2012.0760. URL http://rsif.royalsocietypublishing.org/content/10/80/20120760

  25. Schröder J (2010) Anisotropic polyconvex energies. In: Schröder J, Neff P (eds) Poly-, quasi- and rank-one convexity in applied mechanics. Springer, Berlin, pp 53–105

    Chapter  Google Scholar 

  26. Schröder J, Brinkhues S (2014) A novel scheme for the approximation of residual stresses in arterial walls. Arch Appl Mech 84:881–898

    Article  MATH  Google Scholar 

  27. Schröder J, Neff P (2003) Invariant formulation of hyperelastic transverse isotropy based on polyconvex free energy functions. Int J Solids Struct 40:401–445

    Article  MathSciNet  MATH  Google Scholar 

  28. Schröder J, Neff P, Balzani D (2005) A variational approach for materially stable anisotropic hyperelasticity. Int J Solids Struct 42(15):4352–4371

    Article  MathSciNet  MATH  Google Scholar 

  29. Schröder J, von Hoegen M (2016) An engineering tool to estimate eigenstresses in three-dimensional patient-specific arteries. Comput Methods Appl Mech Eng 306:364–381

    Article  MathSciNet  Google Scholar 

  30. Simo JC, Taylor RL, Pister KS (1985) Variational and projection methods for the volume constraint in finite deformation elasto-plasticity. Comput Methods Appl Mech Eng 51:177–208

    Article  MathSciNet  MATH  Google Scholar 

  31. Takizawa K, Torii R, Takagi H, Tezduyar TE, Xu XY (2014) Coronary arterial dynamics computation with medical-image-based time-dependent anatomical models and element-based zero-stress state estimates. Comput Mech 54:1047–1053

    Article  MATH  Google Scholar 

  32. Taylor RL (2014) FEAP: finite element analysis program. URL http://www.ce.berkeley/feap

  33. Waffenschmidt T, Menzel A (2014) Extremal states of energy of a double-layered thick-walled tube: application to residually stressed arteries. J Mech Behav Biomed Mater 29:635–654. doi:10.1016/j.jmbbm.2013.05.023

    Article  Google Scholar 

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Acknowledgments

Financial support of the German Science Foundation (DFG) under the project no. SCHR570/15-1 and BA2823/9-1 is highly acknowledged. The author D. Balzani additionally thanks the DFG for funding in the context of the Institutional Strategy “The Synergetic University” at TU Dresden, as part of the Excellence Initiative. Furthermore the cooperation with our co-worker Markus von Hoegen, especially in the context of residual stresses in arterial walls, is highly acknowledged.

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Fausten, S., Balzani, D. & Schröder, J. An algorithmic scheme for the automated calculation of fiber orientations in arterial walls. Comput Mech 58, 861–878 (2016). https://doi.org/10.1007/s00466-016-1321-z

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