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 |
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dc.subject |
Star transform |
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dc.subject |
Tensor tomography |
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dc.subject |
Numerical simulations |
|
dc.subject |
Inversion algorithms |
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dc.subject |
Numerical solution of PDEs |
|
dc.title |
V-Line tensor tomography: numerical results |
|
dc.type |
Article |
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dc.relation.journal |
SIAM Journal on Imaging Sciences |
|