Numerical implementation of generalized v-line transforms on 2D vector fields and their inversions

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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


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