2018
DOI: 10.1137/18m1178530
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Microlocal Analysis of a Restricted Ray Transform on Symmetric $m$-Tensor Fields in $\mathbb{R}^{n}$

Abstract: We study the problem of inverting a restricted transverse ray transform to recover a symmetric m-tensor field in R 3 using microlocal analysis techniques. More precisely, we prove that a symmetric m-tensor field can be recovered up to a known singular term and a smoothing term if its transverse ray transform is known along all lines intersecting a fixed smooth curve satisfying the Kirillov-Tuy condition.

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Cited by 9 publications
(2 citation statements)
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“…The first four concepts were motivated by the analogous generalizations of the classical Radon transform to vector fields (e.g. see [1,11,12,23,24,26,28,29,30,31,32,33,36,37,38,41,42,48]). The vector star transform is a natural extension of the longitudinal and transverse VLTs to the case of trajectories with more than two branches.…”
Section: Introductionmentioning
confidence: 99%
“…The first four concepts were motivated by the analogous generalizations of the classical Radon transform to vector fields (e.g. see [1,11,12,23,24,26,28,29,30,31,32,33,36,37,38,41,42,48]). The vector star transform is a natural extension of the longitudinal and transverse VLTs to the case of trajectories with more than two branches.…”
Section: Introductionmentioning
confidence: 99%
“…The reconstruction problem for both the longitudinal and transverse ray transforms in n-dimensions (n ⩾ 3) is overdetermined, therefore one would like to have a reconstruction algorithm using only an n-dimensional restriction of the data. Such questions related to restricted data are also wellstudied in different settings; for instance, see [11,12,23,25,35] and references therein. These problems, sometimes collectively called tomography of tensor fields, have applications in plasma physics, polarization imaging, prediction of earthquakes, and many other areas related to the propagation of radiation or waves through anisotropic media.…”
Section: Introductionmentioning
confidence: 99%