Numerical Inversion of Three-Dimensional Geodesic X-Ray Transform Arising from Travel Time Tomography
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AbstractIn this paper, we consider the inverse problem of determining an unknown function defined in three space dimensions from its geodesic X-ray transform. The standard X-ray transform is defined on the Euclidean metric and is given by the integration of a function along straight lines. The geodesic X-ray transform is the generalization of the standard X-ray transform in Riemannian manifolds and is defined by integration of a function along geodesics. This paper is motivated by Uhlmann and Vasy's theoretical reconstruction algorithm for geodesic X-ray transform and mathematical formulation for travel time tomography to develop a novel numerical algorithm for the stated goal. Our numerical scheme is based on a Neumann series approximation and a layer stripping approach. In particular, we will first reconstruct the unknown function by using a convergent Neumann series for each small neighborhood near the boundary. Once the solution is constructed on a layer near the boundary, we repeat the same procedure for the next layer, and we continue this process until the unknown function is recovered on the whole domain. One main advantage of our approach is that the reconstruction is localized and is therefore very efficient, compared with other global approaches for which the reconstructions are performed on the whole domain. We illustrate the performance of our method by showing some test cases including the Marmousi model. Finally, we apply this method to a travel time tomography in three dimensions, in which the inversion of the geodesic X-ray transform is one important step, and present several numerical results to validate the scheme.
All Author(s) ListT. S. Au Yeung, Eric T. Chung, Gunther Uhlmann
Journal nameSIAM Journal on Imaging Sciences
Year2019
Month7
Volume Number12
Issue Number3
Pages1296 - 1323
ISSN1936-4954
LanguagesEnglish-United States

Last updated on 2020-05-08 at 01:22