V-Line tensor tomography: numerical results

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dc.contributor.author Ambartsoumian, Gaik
dc.contributor.author Mishra, Rohit Kumar
dc.contributor.author Zamindar, Indrani
dc.coverage.spatial United States of America
dc.date.accessioned 2025-04-11T08:07:18Z
dc.date.available 2025-04-11T08:07:18Z
dc.date.issued 2025
dc.identifier.citation Ambartsoumian, Gaik; Mishra, Rohit Kumar and Zamindar, Indrani, "V-Line tensor tomography: numerical results", SIAM Journal on Imaging Sciences, DOI: 10.1137/24M1689028, vol. 18, no. 01, 2025.
dc.identifier.issn 1936-4954
dc.identifier.uri https://doi.org/10.1137/24M1689028
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/11180
dc.description.abstract This article presents the numerical verification and validation of several inversion algorithms for V-line transforms (VLTs) acting on symmetric 2-tensor fields in the plane. The analysis of these transforms and the theoretical foundation of their inversion methods were studied in the recent work [G. Ambartsoumian, R. K. Mishra, and I. Zamindar, Inverse Problems, 40 (2024), 035003]. We demonstrate the efficient recovery of an unknown symmetric 2-tensor field from various combinations of the longitudinal, transverse, and mixed VLTs, their corresponding first moments, and the star VLT. The paper examines the performance of the proposed algorithms in different settings and illustrates the results with numerical simulations on smooth and nonsmooth phantoms.
dc.description.statementofresponsibility by Gaik Ambartsoumian, Rohit Kumar Mishra and Indrani Zamindar
dc.format.extent vol. 18, no. 01
dc.language.iso en_US
dc.publisher Society for Industrial and Applied Mathematics
dc.subject Inverse problems
dc.subject V-line transform
dc.subject Broken ray transform
dc.subject Star transform
dc.subject Tensor tomography
dc.subject Numerical simulations
dc.subject Inversion algorithms
dc.subject Numerical solution of PDEs
dc.title V-Line tensor tomography: numerical results
dc.type Article
dc.relation.journal SIAM Journal on Imaging Sciences


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