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2015 | OriginalPaper | Buchkapitel

Fiber Orientation Distribution Functions and Orientation Tensors for Different Material Symmetries

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Abstract

In this paper we give closed-form expressions of the orientation tensors up to the order four associated with some axially-symmetric orientation distribution functions (ODF), including the well-known von Mises-Fisher, Watson, and de la Vallée Poussin ODFs. Each is characterized by a mean direction and a concentration parameter. Then, we use these elementary ODFs as building blocks to construct new ones with a specified material symmetry and derive the corresponding orientation tensors. For a general ODF we present a systematic way of calculating the corresponding orientation tensors from certain coefficients of the expansion of the ODF in spherical harmonics.

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Literatur
1.
Zurück zum Zitat Advani, S.G., Tucker III, C.L.: The use of tensors to describe and predict fiber orientation in short fiber composites. J. Rheol. 31(8), 751–784 (1987)CrossRefMATH Advani, S.G., Tucker III, C.L.: The use of tensors to describe and predict fiber orientation in short fiber composites. J. Rheol. 31(8), 751–784 (1987)CrossRefMATH
2.
Zurück zum Zitat Advani, S.G., Tucker III, C.L.: Closure approximations for three-dimensional structure tensors. J. Rheol. 34(3), 367–386 (1990)CrossRef Advani, S.G., Tucker III, C.L.: Closure approximations for three-dimensional structure tensors. J. Rheol. 34(3), 367–386 (1990)CrossRef
3.
Zurück zum Zitat Backus, G.: A geometric picture of anisotropic elastic tensors. Rev. Geophys. Space Phys. 8(3), 633–671 (1970)CrossRef Backus, G.: A geometric picture of anisotropic elastic tensors. Rev. Geophys. Space Phys. 8(3), 633–671 (1970)CrossRef
4.
Zurück zum Zitat Brachat, J., Comon, P., Mourrain, B., Tsigaridas, E.P.: Symmetric tensor decomposition. Linear Algebra Appl. 433(11–12), 1851–1872 (2010)MathSciNetCrossRef Brachat, J., Comon, P., Mourrain, B., Tsigaridas, E.P.: Symmetric tensor decomposition. Linear Algebra Appl. 433(11–12), 1851–1872 (2010)MathSciNetCrossRef
5.
Zurück zum Zitat Chebbi, Z.: Study of brain white matter fiber crossings using fourth-order diffusion tensors estimated from HARDI data. Master’s thesis, National Engineering School at Tunis (2009) Chebbi, Z.: Study of brain white matter fiber crossings using fourth-order diffusion tensors estimated from HARDI data. Master’s thesis, National Engineering School at Tunis (2009)
6.
Zurück zum Zitat Cieslinski, M.M., Steel, P.J., Lincoln, S.F., Easton, C.J.: Centrosymmetric and non-centrosymmetric packing of aligned molecular fibers in the solid state self assemblies of cyclodextrin-based rotaxanes. Supramol. Chem. 18, 529–536 (2006)CrossRef Cieslinski, M.M., Steel, P.J., Lincoln, S.F., Easton, C.J.: Centrosymmetric and non-centrosymmetric packing of aligned molecular fibers in the solid state self assemblies of cyclodextrin-based rotaxanes. Supramol. Chem. 18, 529–536 (2006)CrossRef
7.
Zurück zum Zitat Eberlea, A.P.R., Vélez-Garcíab, G.M., Bairda, D.G., Wapperomc P.: Fiber orientation kinetics of a concentrated short glass fiber suspension in startup of simple shear flow. J. Non-Newtonian Fluid Mech. 165, 110–119 (2010)CrossRef Eberlea, A.P.R., Vélez-Garcíab, G.M., Bairda, D.G., Wapperomc P.: Fiber orientation kinetics of a concentrated short glass fiber suspension in startup of simple shear flow. J. Non-Newtonian Fluid Mech. 165, 110–119 (2010)CrossRef
8.
Zurück zum Zitat Fisher, N.I., Lewis, T., Embleton, B.J.J.: Statistical Analysis of Spherical Data. Cambridge University Press, Cambridge (1987)CrossRef Fisher, N.I., Lewis, T., Embleton, B.J.J.: Statistical Analysis of Spherical Data. Cambridge University Press, Cambridge (1987)CrossRef
9.
Zurück zum Zitat Florack, L., Balmashnova, E.: Two canonical representations for regularized high angular resolution diffusion imaging. In: Alexander, D., Gee, J., Whitaker, R. (eds.) MICCAI Workshop on Computational Diffusion MRI, New York, pp. 85–96 (2008) Florack, L., Balmashnova, E.: Two canonical representations for regularized high angular resolution diffusion imaging. In: Alexander, D., Gee, J., Whitaker, R. (eds.) MICCAI Workshop on Computational Diffusion MRI, New York, pp. 85–96 (2008)
10.
Zurück zum Zitat Florack, L., Balmashnova, E., Astola, L., Brunenberg, E.: A new tensorial framework for single-shell high angular resolution diffusion imaging. J. Math. Imaging Vision 38(3), 171–181 (2010)MathSciNetCrossRef Florack, L., Balmashnova, E., Astola, L., Brunenberg, E.: A new tensorial framework for single-shell high angular resolution diffusion imaging. J. Math. Imaging Vision 38(3), 171–181 (2010)MathSciNetCrossRef
11.
Zurück zum Zitat Ghosh, A., Megherbi, T., Oulebsir-Boumghar, F., Deriche, R.: Fiber orientation distribution from non-negative sparse recovery. In: IEEE 10th International Symposium on Biomedical Imaging (ISBI), 2013, pp. 254–257 (2013) Ghosh, A., Megherbi, T., Oulebsir-Boumghar, F., Deriche, R.: Fiber orientation distribution from non-negative sparse recovery. In: IEEE 10th International Symposium on Biomedical Imaging (ISBI), 2013, pp. 254–257 (2013)
12.
Zurück zum Zitat Goldacker, T., Abetz, V., Stadler, R., Erukhimovich, I., Leibler, L.: Non-centrosymmetric superlattices in block copolymer blends. Nature 398, 137–139 (1999)CrossRef Goldacker, T., Abetz, V., Stadler, R., Erukhimovich, I., Leibler, L.: Non-centrosymmetric superlattices in block copolymer blends. Nature 398, 137–139 (1999)CrossRef
13.
Zurück zum Zitat Gur, Y., Jiao, F., Zhu, S.X., Johnson, C.R.: White matter structure assessment from reduced HARDI data using low-rank polynomial approximations. In: Panagiotaki, E., O’Donnell, L., Schultz, T., Zhang, G.H. (eds.) Proceedings of the Computational Diffusion MRI, pp. 186–197 (2012) Gur, Y., Jiao, F., Zhu, S.X., Johnson, C.R.: White matter structure assessment from reduced HARDI data using low-rank polynomial approximations. In: Panagiotaki, E., O’Donnell, L., Schultz, T., Zhang, G.H. (eds.) Proceedings of the Computational Diffusion MRI, pp. 186–197 (2012)
14.
Zurück zum Zitat Jack, D.A., Smith, D.E.: Elastic properties of short-fiber polymer composites, derivation and demonstration of analytical forms for expectation and variance from orientation tensors. J. Compos. Mater. 42(3), 277–308 (2008)CrossRef Jack, D.A., Smith, D.E.: Elastic properties of short-fiber polymer composites, derivation and demonstration of analytical forms for expectation and variance from orientation tensors. J. Compos. Mater. 42(3), 277–308 (2008)CrossRef
15.
Zurück zum Zitat Jones, M.N.: Spherical Harmonics and Tensors for Classical Field Theory. Wiley, New York (1985) Jones, M.N.: Spherical Harmonics and Tensors for Classical Field Theory. Wiley, New York (1985)
17.
Zurück zum Zitat Lakes, R.: Elastic and viscoelastic behavior of chiral materials. Int. J. Mech. Sci. 43(7), 1579–1589 (2001)CrossRefMATH Lakes, R.: Elastic and viscoelastic behavior of chiral materials. Int. J. Mech. Sci. 43(7), 1579–1589 (2001)CrossRefMATH
18.
Zurück zum Zitat Liu, C., Bammer, R., Acar, B., Moseley, M.E.: Characterizing non-gaussian diffusion by using generalized diffusion tensors. Magn. Reson. Med. 51, 924–937 (2004)CrossRefMATH Liu, C., Bammer, R., Acar, B., Moseley, M.E.: Characterizing non-gaussian diffusion by using generalized diffusion tensors. Magn. Reson. Med. 51, 924–937 (2004)CrossRefMATH
19.
Zurück zum Zitat Mardia, K.V.: Statistics of directional data. J. R. Stat. Soc. Ser. B 37(3), 349–393 (1975)MathSciNetMATH Mardia, K.V.: Statistics of directional data. J. R. Stat. Soc. Ser. B 37(3), 349–393 (1975)MathSciNetMATH
20.
Zurück zum Zitat Megherbi, T., Kachouane, M., Oulebsir-Boumghar, F., Deriche, R.: Crossing fibers detection with an analytical high order tensor decomposition. Comput. Math. Methods Med. 2014, 18 pp. (2014) [Article ID 476837] Megherbi, T., Kachouane, M., Oulebsir-Boumghar, F., Deriche, R.: Crossing fibers detection with an analytical high order tensor decomposition. Comput. Math. Methods Med. 2014, 18 pp. (2014) [Article ID 476837]
21.
Zurück zum Zitat Moakher, M.: Fourth-order Cartesian tensors: old and new facts, notions and applications. Q. J. Mech. Appl. Math. 61(2), 181–203 (2008)MathSciNetCrossRef Moakher, M.: Fourth-order Cartesian tensors: old and new facts, notions and applications. Q. J. Mech. Appl. Math. 61(2), 181–203 (2008)MathSciNetCrossRef
22.
Zurück zum Zitat Ostroverkhov, V., Ostroverkhova, O., Petschek, R.G., Singer, K.D., Sukhomlinova, L., Twieg, R.J., Wang, S.-X., Chien, L.C.: Optimization of the molecular hyperpolarizability for second harmonic generation in chiral media. Chem. Phys. 257, 263–274 (2000)CrossRef Ostroverkhov, V., Ostroverkhova, O., Petschek, R.G., Singer, K.D., Sukhomlinova, L., Twieg, R.J., Wang, S.-X., Chien, L.C.: Optimization of the molecular hyperpolarizability for second harmonic generation in chiral media. Chem. Phys. 257, 263–274 (2000)CrossRef
23.
Zurück zum Zitat Özarslan, E., Mareci, T.H.: Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging. Magn. Reson. Med. 50(5), 955–965 (2003)CrossRef Özarslan, E., Mareci, T.H.: Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging. Magn. Reson. Med. 50(5), 955–965 (2003)CrossRef
24.
Zurück zum Zitat Özarslan, E., Shepherd, T.M., Vemuri, B.C., Blackband, S.J., Mareci, T.H.: Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). NeuroImage 31(3), 1086–1103 (2006)CrossRef Özarslan, E., Shepherd, T.M., Vemuri, B.C., Blackband, S.J., Mareci, T.H.: Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). NeuroImage 31(3), 1086–1103 (2006)CrossRef
25.
Zurück zum Zitat Papenfuss, C., Ván, P.: Scalar, vectorial, and tensorial damage parameters from the mesoscopic background. Proc. Est. Acad. Sci. 57(3), 132–141 (2008)CrossRef Papenfuss, C., Ván, P.: Scalar, vectorial, and tensorial damage parameters from the mesoscopic background. Proc. Est. Acad. Sci. 57(3), 132–141 (2008)CrossRef
26.
Zurück zum Zitat Schaeben, H.: A simple standard orientation density function: the hyperspherical de la Vallée Poussin kernel. Phys. Status Solidi (B) 200(2), 367–376 (1997) Schaeben, H.: A simple standard orientation density function: the hyperspherical de la Vallée Poussin kernel. Phys. Status Solidi (B) 200(2), 367–376 (1997)
27.
Zurück zum Zitat Schultz, T., Seidel, H.-P.: Estimating crossing fibers: a tensor decomposition approach. IEEE Trans. Vis. Comput. Graph. 14(6), 1635–1642 (2008)CrossRef Schultz, T., Seidel, H.-P.: Estimating crossing fibers: a tensor decomposition approach. IEEE Trans. Vis. Comput. Graph. 14(6), 1635–1642 (2008)CrossRef
28.
Zurück zum Zitat Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L.-H.: Higher-order tensors in diffusion imaging. In: Westin, C.F., Vilanova, A., Burgeth, B. (eds.) Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data. Mathematics and Visualization, pp. 129–161. Springer, Berlin/Heidelberg (2014) Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L.-H.: Higher-order tensors in diffusion imaging. In: Westin, C.F., Vilanova, A., Burgeth, B. (eds.) Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data. Mathematics and Visualization, pp. 129–161. Springer, Berlin/Heidelberg (2014)
29.
Zurück zum Zitat Snieder, R.: A Guided Tour of Mathematical Methods for the Physical Sciences, 2nd edn. Cambridge University Press, Cambridge (2001)MATH Snieder, R.: A Guided Tour of Mathematical Methods for the Physical Sciences, 2nd edn. Cambridge University Press, Cambridge (2001)MATH
30.
Zurück zum Zitat Tournier, J.-D., Calamante, F., Gadian, D.G., Connelly, A.: Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 23(3), 1176–1185 (2004)CrossRef Tournier, J.-D., Calamante, F., Gadian, D.G., Connelly, A.: Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 23(3), 1176–1185 (2004)CrossRef
31.
Zurück zum Zitat Tuch, D.S.: Q-ball imaging. Magn. Reson. Med. 52(6), 1358–1372 (2004)CrossRef Tuch, D.S.: Q-ball imaging. Magn. Reson. Med. 52(6), 1358–1372 (2004)CrossRef
32.
Zurück zum Zitat van der Boogaart, K.G., Hielscher, R., Prestin, J., Schaeben, H.: Kernel-based methods for inversion of the Radon transform on SO(3) and their applications to texture analysis. J. Comput. Appl. Math. 199, 122–140 (2007)MathSciNetCrossRefMATH van der Boogaart, K.G., Hielscher, R., Prestin, J., Schaeben, H.: Kernel-based methods for inversion of the Radon transform on SO(3) and their applications to texture analysis. J. Comput. Appl. Math. 199, 122–140 (2007)MathSciNetCrossRefMATH
33.
Zurück zum Zitat Voyiadjis, G.Z., Kattan, P.I.: Evolution of fabric tensors in damage mechanics of solids with micro-cracks: Part I - Theory and fundamental concepts. Mech. Res. Commun. 34(2), 145–154 (2007)CrossRefMATH Voyiadjis, G.Z., Kattan, P.I.: Evolution of fabric tensors in damage mechanics of solids with micro-cracks: Part I - Theory and fundamental concepts. Mech. Res. Commun. 34(2), 145–154 (2007)CrossRefMATH
34.
Zurück zum Zitat Wang, B., Zhou, J., Koschny, T., Kafesaki, M., Soukoulis, C.M.: Chiral metamaterials: simulations and experiments. J. Opt. A Pure Appl. Opt. 11, 114003 (2009)CrossRef Wang, B., Zhou, J., Koschny, T., Kafesaki, M., Soukoulis, C.M.: Chiral metamaterials: simulations and experiments. J. Opt. A Pure Appl. Opt. 11, 114003 (2009)CrossRef
35.
Zurück zum Zitat Watson, G.S.: Distributions on the circle and sphere. J. Appl. Probab. 19, 265–280 (1982)CrossRef Watson, G.S.: Distributions on the circle and sphere. J. Appl. Probab. 19, 265–280 (1982)CrossRef
Metadaten
Titel
Fiber Orientation Distribution Functions and Orientation Tensors for Different Material Symmetries
verfasst von
Maher Moakher
Peter J. Basser
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-15090-1_3