Abstract
A numerical solution is proposed for the problem of reconstructing a potential vector field in the unit ball from the values of the normal Radon transform. The algorithm is based on the method of truncated singular value decomposition. Numerical simulations confirm that the method gives rather good results on reconstructing potential vector fields.
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References
V. A. Sharafutdinov, Integral Geometry of Tensor Fields (Nauka, Novosibrisk, 1993; VSP, Utrecht, The Netherlands, 1994).
W. Munk and C. Wunsh, “Ocean Acoustic Tomography: A Scheme for Large-ScaleMonitoring,” Deep-Sea Res. A26 (2), 123–161 (1979).
P. Juhlin, “Doppler Tomography,” in Engineering in Medicine and Biology Society: Proceedings of the 15th Annual International Conference (IEEE, 1993), pp. 212–213.
G. Sparr, K. Strahlen, K. Lindstorm, and H. W. Persson, “Doppler Tomography for Vector Fields,” Inverse Problems 11, 1051–1061 (1995).
V. V. Pikalov and N. G. Preobrazhenskii, Reconstructive Tomography in Plasma Gasdynamics and Physics (Nauka, Novosibrisk, 1987) [in Russian].
T. Schuster, “20 Years of Imaging in Vector Field Tomography: a Review,” in Mathematical Methods in Biomedical Imaging and Intensity-Modulated Radiation Therapy (IMRT), Edt. by Y. Censor, M. Jiang, and A. k. Louis, Ser. Publications of the Scuola Normale Superiore, CRM Series, Vol. 7 (Birkhöser, 2008), pp. 389–424.
E. Yu. Derevtsov and I. G. Kashina, “Numerical Solution to the Vector Tomography Problem Using Polynomial Bases,” Sibirsk. Zh. Vychisl. Mat. 5 (3), 233–254 (2002).
I. E. Svetov and A. P. Polyakova, “Comparison of Two Algorithms for the Numerical Solution of the Two-Dimensional Vector Tomography Problem,” Siberian Electron. Math. Rep. 10, 90–108 (2013) [URL: http://semr.math.nsc.ru/v10/p90–108.pdf].
I. E. Svetov, E. Yu. Derevtsov, Yu. S. Volkov, and T. Schuster, “A Numerical Solver Based on B-Splines for 2D Vector Field Tomography in a Refracting Medium,” Math. Comput. Simulation 97, 207–223 (2014).
I. E. Svetov, “Reconstruction of Solenoidal Part of a Three-Dimensional Vector Field by Its Ray Transforms along Straight Lines, Parallel to the Coordinate Planes,” Sibirsk. Zh. Vychisl. Mat. 15 (3), 329–344 (2012) [Numer. Anal. Appl. 5 (3), 271–283 (2012)].
V. Sharafutdinov, “Slice-by-Slice Reconstruction Algorithm for Vector Tomography with Incomplete Data,” Inverse Problems 23, 2603–2627 (2007).
A. P. Polyakova, “Reconstruction of a Vector Field in a Ball from Its Normal Radon Transform,” Vestnik Novosib. Gos. Univ. Ser. Mat. Mekh. Inform. 13 (4), 119–142 (2013) [J. Math. Sci. 205 (3), 418–439 (2015)].
M. Defrise and G. T. Gullberg, 3D Reconstruction of Tensors and Vectors, Technical Report No. LBNL–54936 (LBNL, Berkeley, 2005).
A. K. Louis, “Orthogonal Function Series Expansions and the Null Space of the Radon Transform,” Society for Industrial and Applied Mathematics 15 (3), 621–633 (1984).
P. Maass, “The X-Ray Transform: Singular Value Decomposition and Resolution,” Inverse Problems 3 (4), 729–741 (1987).
E. Yu. Derevtsov, A. V. Efimov, A. K. Louis, and T. Schuster, “Singular Value Decomposition and Its Application to Numerical Inversion for Ray Transforms in 2D Vector Tomography,” J. Inverse Ill-Posed Problems 19 (4–5), 689–715 (2011).
A. P. Polyakova and E. Yu. Derevtsov, “Solution of the Integral Geometry Problem for 2-Tensor Fields by the Singular Value Decomposition Method,” Vestnik Novosib. Gos. Univ. Ser. Mat. Mekh. Inform. 12 (3), 73–94 (2012) [J. Math. Sci. 202 (1), 50–71 (2014)].
H. Weyl, “TheMethod ofOrthogonal Projection in Potential Theory,” DukeMath. J. No. 7, 411–444 (1940).
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Original Russian Text © A.P. Polyakova, I.E. Svetov, 2015, published in Sibirskii Zhurnal Industrial’noi Matematiki, 2015, Vol. XVIII, No. 3, pp. 63–75.
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Polyakova, A.P., Svetov, I.E. Numerical solution of the problem of reconstructing a potential vector field in the unit ball from its normal Radon transform. J. Appl. Ind. Math. 9, 547–558 (2015). https://doi.org/10.1134/S1990478915040110
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DOI: https://doi.org/10.1134/S1990478915040110