Inversion of generalized Radon transform over symmetric $m$-tensor fields in $\mathbb{R}^n$
Anuj Abhishek, Rohit Kumar Mishra, Chandni Thakkar

TL;DR
This paper introduces and analyzes generalized Radon transforms for symmetric m-tensor fields in Euclidean space, providing kernel descriptions and demonstrating unique recoverability of the tensor fields from these transforms.
Contribution
It extends previous work on vector fields to symmetric m-tensor fields, establishing invertibility and kernel properties of the generalized Radon transforms.
Findings
Kernel descriptions for Radon transforms of tensor fields
Unique recovery of tensor fields from Radon transform data
Generalization of vector field results to m-tensor fields
Abstract
In this work, we study a set of generalized Radon transforms over symmetric -tensor fields in . The longitudinal/transversal Radon transform and corresponding weighted integral transforms for symmetric -tensor field are introduced. We give the kernel descriptions for the longitudinal and transversal Radon transform. Further, we also prove that a symmetric -tensor field can be recovered uniquely from certain combinations of these integral transforms of the unknown tensor field. This generalizes a recent study done for the recovery of vector fields from its weighted Radon transform data to recovery of a symmetric -tensor field from analogously defined weighted Radon transforms.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMedical Imaging Techniques and Applications · Seismic Imaging and Inversion Techniques · Image and Signal Denoising Methods
