Inversion of the two-data circular Radon transform centered on a curve on C ( R 2 ) ${\cal C}(\mathbf {R}^2)$

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2024-05-30 DOI:10.1111/sapm.12722
Rafik Aramyan
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Abstract

More often, in the mathematical literature, the injectivity of the spherical Radon transform (SRT) for compactly supported functions is considered. In this article, an additional condition, for the reconstruction of an unknown function f C ( R 2 ) $f\in C(\mathbf {R}^2)$ (the support can be noncompact) using the circular Radon transform (CRT) over circles centered on a smooth simple curve is found. It is proved that this problem is equivalent to the injectivity of a so-called two-data CRT over circles centered on a smooth curve (can be a segment). Also, we present an inversion formula of the transform that uses the local data of the circular integrals to reconstruct the unknown function. Such inversions are the mathematical base of modern modalities of imaging, such as thermo- and photoacoustic tomography and radar imaging, and have theoretical significance.

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以 C(R2)${cal C}(\mathbf {R}^2)$ 上的曲线为中心的双数据循环拉顿变换的反演
在数学文献中,球面拉顿变换(SRT)的注入性通常被认为是针对紧凑支撑函数的。在本文中,我们发现了一个额外的条件,即利用以光滑简单曲线为中心的圆上的圆形拉顿变换(CRT)重建未知函数(支撑可以是非紧凑的)。我们证明了这一问题等同于以光滑曲线(可以是线段)为中心的圆上的所谓双数据 CRT 的注入性。此外,我们还提出了利用圆积分的局部数据重建未知函数的变换反演公式。这种反演是现代成像模式的数学基础,如热声学和光声学层析成像以及雷达成像,具有重要的理论意义。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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