On a quantitative partial imaging problem in vector tomography
Abstract In two dimensions, we consider the problem of reconstructing a vector field from partial knowledge of its zeroth and first moment ray transforms. Different from existing works the data is known on a subset of lines, namely the ones intersecting a given arc. The problem is non-local and, for partial data, severely ill-posed. We present a reconstruction method which recovers the vector field in the convex hull of the arc. An algorithm based on this method is implemented on some numerical experiments. While still ill-posed the discretization stabilizes the numerical reconstruction.
Authors
- Kamran Sadiq (ORCID: https://orcid.org/0000-0002-2197-2875)
- Alexandru Tamasan (ORCID: https://orcid.org/0000-0001-5456-6630)
- Hiroshi Fujiwara (ORCID: https://orcid.org/0000-0002-9027-785X)
Institutions
- University of Central Florida (US)
- Kyoto University (JP)
- Johann Radon Institute for Computational and Applied Mathematics (AT)
Publication Details
- Journal
- Inverse Problems
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1088/1361-6420/ade620
- Citations
- 3
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Japan Society for the Promotion of Science