dc.contributor.author |
Ambartsoumian, Gaik |
|
dc.contributor.author |
Jebelli, Mohammad J. Latifi |
|
dc.contributor.author |
Mishra, Rohit Kumar |
|
dc.coverage.spatial |
United States of America |
|
dc.date.accessioned |
2024-04-25T14:47:02Z |
|
dc.date.available |
2024-04-25T14:47:02Z |
|
dc.date.issued |
2024-03 |
|
dc.identifier.citation |
Ambartsoumian, Gaik; Jebelli, Mohammad J. Latifi and Mishra, Rohit Kumar, �Numerical implementation of generalized v-line transforms on 2D vector fields and their inversions�, SIAM Journal on Imaging Sciences, DOI: 10.1137/23M1573112, vol. 17, no. 1, pp. 595-631, Mar. 2024. |
|
dc.identifier.issn |
1936-4954 |
|
dc.identifier.uri |
https://doi.org/10.1137/23M1573112 |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/9966 |
|
dc.description.abstract |
The paper discusses numerical implementations of various inversion schemes for generalized V-line transforms on vector fields introduced in [G. Ambartsoumian, M. J. Latifi, and R. K. Mishra, Inverse Problems, 36 (2020), 104002]. It demonstrates the possibility of efficient recovery of an unknown vector field from five different types of data sets, with and without noise. We examine the performance of the proposed algorithms in a variety of setups, and illustrate our results with numerical simulations on different phantoms. |
|
dc.description.statementofresponsibility |
by Gaik Ambartsoumian, Mohammad J. Latifi Jebelli and Rohit Kumar Mishra |
|
dc.format.extent |
vol. 17, no. 1, pp. 595-631 |
|
dc.language.iso |
en_US |
|
dc.publisher |
Society for Industrial and Applied Mathematics |
|
dc.subject |
Vector tomorgarphy |
|
dc.subject |
V-line |
|
dc.subject |
Broken ray |
|
dc.subject |
Generalized radon |
|
dc.subject |
Longitudinal |
|
dc.subject |
Transverse |
|
dc.title |
Numerical implementation of generalized v-line transforms on 2D vector fields and their inversions |
|
dc.type |
Article |
|
dc.relation.journal |
SIAM Journal on Imaging Sciences |
|