On the Reconstruction of Planar Vector Fields From Its Longitudinal and Transverse Ray Transform

ABSTRACT We consider a planar vector tomography problem of reconstructing a complex‐valued vector field from the (complete and partial) information of its longitudinal and transverse ray transforms, as well as from one of those transforms and its first moment. The method is based on solving an inverse boundary value problem for a system of inhomogeneous Beltrami‐like equations associated with ‐analytic and ‐anti‐analytic maps. In the partial data setting, the available data are only provided on a subset of lines, specifically those intersecting a prescribed arc. We present reconstruction methods for recovering the vector field within the convex hull of the given arc.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-10-28
DOI
https://doi.org/10.1002/mma.71053
Primary Topic
Numerical methods in inverse problems
Type
article
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article

On the Reconstruction of Planar Vector Fields From Its Longitudinal and Transverse Ray Transform

Kamran Sadiq
3 links
Mathematical Methods in the Applied Sciences
Numerical methods in inverse problems
article

On the Reconstruction of Planar Vector Fields From Its Longitudinal and Transverse Ray Transform

Kamran Sadiq
article en

Abstract

ABSTRACT We consider a planar vector tomography problem of reconstructing a complex‐valued vector field from the (complete and partial) information of its longitudinal and transverse ray transforms, as well as from one of those transforms and its first moment. The method is based on solving an inverse boundary value problem for a system of inhomogeneous Beltrami‐like equations associated with ‐analytic and ‐anti‐analytic maps. In the partial data setting, the available data are only provided on a subset of lines, specifically those intersecting a prescribed arc. We present reconstruction methods for recovering the vector field within the convex hull of the given arc.

Mathematical Methods in the Applied Sciences
Johann Radon Institute for Computational and Applied Mathematics (AT)
Openalex Percentile: Top 7%
Numerical methods in inverse problems
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