2010
DOI: 10.1155/2010/208179
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On the V‐Line Radon Transform and Its Imaging Applications

Abstract: Radon transforms defined on smooth curves are well known and extensively studied in the literature. In this paper, we consider a Radon transform defined on a discontinuous curve formed by a pair of half-lines forming the vertical letter V. If the classical two-dimensional Radon transform has served as a work horse for tomographic transmission and/or emission imaging, we show that this V-line Radon transform is the backbone of scattered radiation imaging in two dimensions. We establish its analytic inverse form… Show more

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Cited by 54 publications
(64 citation statements)
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“…They rely on individual analytical relations between f (x, y) and its projections g(ξ, ω). Detailed implementations for FBP in the TV case can be found elsewhere [1,7,8]. …”
Section: Analytic Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…They rely on individual analytical relations between f (x, y) and its projections g(ξ, ω). Detailed implementations for FBP in the TV case can be found elsewhere [1,7,8]. …”
Section: Analytic Methodsmentioning
confidence: 99%
“…The Conical Radon Transform family is a mathematical model of this new principle for camera gamma imaging [1][2][3][4][5]. Image reconstruction from its projections is guaranteed since the Conical Radon Transforms are analytically invertible [6].…”
Section: Introductionmentioning
confidence: 99%
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“…Proof: See [22], [23]. An alternative inversion formula is based on the results of the classical Radon transform.…”
Section: Inversionsmentioning
confidence: 99%
“…The crux of the matter is that one can show that from this data set, a three-dimensional object reconstruction is possible. Moreover, a two-dimensional version of this scattered radiation has been shown to be feasible in the last few years, referred to as V-line emission imaging (VEI) [9], [10]. Thus, it is tempting (and logical) to combine Compton scattering tomography with V-line emission imaging as the first bimodal scatter radiation imaging, which is the topic of this work.…”
Section: Introductionmentioning
confidence: 99%