2022
DOI: 10.3934/ipi.2021047
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Partial inversion of the 2D attenuated $ X $-ray transform with data on an arc

Abstract: <p style='text-indent:20px;'>In two dimensions, we consider the problem of inversion of the attenuated <inline-formula><tex-math id="M2">\begin{document}$ X $\end{document}</tex-math></inline-formula>-ray transform of a compactly supported function from data restricted to lines leaning on a given arc. We provide a method to reconstruct the function on the convex hull of this arc. The attenuation is assumed known. The method of proof uses the Hilbert transform associated with <i… Show more

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Cited by 5 publications
(5 citation statements)
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References 47 publications
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“…This section provides a brief review of the theoretical background used in our numerical reconstruction. For details we refer to [9,10].…”
Section: Preliminariesmentioning
confidence: 99%
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“…This section provides a brief review of the theoretical background used in our numerical reconstruction. For details we refer to [9,10].…”
Section: Preliminariesmentioning
confidence: 99%
“…), as shown in [25,26]. Solutions to (10) are said to be L 2 -analytic in the sense of Bukhgeim [3]. An important property of L 2 -analytic sequences is that they obey a Cauchy-like integral formula.…”
Section: Preliminariesmentioning
confidence: 99%
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“…Specific to two dimensional domains, our approach is based on the Cauchy problem with partial data for a Beltrami-like equation associated with Aanalytic maps in the sense of Bukhgeim [7], and extends the authors' previous work [16], which used measurements on the entire boundary, to this specific partial data case. The new insight is that, similar to the non-scattering case [18], the trace u| Λ determines u| L provided the scattering kernel has finite Fourier content as in (3). The role of the finite Fourier content has been independently recognized in [23].…”
Section: Introductionmentioning
confidence: 99%
“…(b) Recover for each n ě M , the trace v ´n L by solving(39). (3) By Bukhgeim-Cauchy formula(18), extend v ´n for n ě M from the boundary Λ Y L to Ω `.…”
mentioning
confidence: 99%