Weighted Radon transforms of vector fields, with applications to magnetoacoustoelectric tomography
Affiliation
Department of Mathematics, University of ArizonaIssue Date
2023-05-09Keywords
explicit inversion formulalongitudinal Radon transform
transversal Radon transform
vector tomography
weighted Radon transform
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Institute of PhysicsCitation
L Kunyansky et al 2023 Inverse Problems 39 065014Journal
Inverse ProblemsRights
© 2023 The Author(s). Published by IOP Publishing Ltd. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Currently, theory of ray transforms of vector and tensor fields is well developed, but the Radon transforms of such fields have not been fully analyzed. We thus consider linearly weighted and unweighted longitudinal and transversal Radon transforms of vector fields. As usual, we use the standard Helmholtz decomposition of smooth and fast decreasing vector fields over the whole space. We show that such a decomposition produces potential and solenoidal components decreasing at infinity fast enough to guarantee the existence of the unweighted longitudinal and transversal Radon transforms of these components. It is known that reconstruction of an arbitrary vector field from only longitudinal or only transversal transforms is impossible. However, for the cases when both linearly weighted and unweighted transforms of either one of the types are known, we derive explicit inversion formulas for the full reconstruction of the field. Our interest in the inversion of such transforms stems from a certain inverse problem arising in magnetoacoustoelectric tomography (MAET). The connection between the weighted Radon transforms and MAET is exhibited in the paper. Finally, we demonstrate performance and noise sensitivity of the new inversion formulas in numerical simulations. © 2023 The Author(s). Published by IOP Publishing Ltd.Note
Open access articleISSN
0266-5611Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1088/1361-6420/acd07a
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Except where otherwise noted, this item's license is described as © 2023 The Author(s). Published by IOP Publishing Ltd. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.

