康普顿CT非线性算子的微局部分析。

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Inverse Problems Pub Date : 2026-02-27 Epub Date: 2026-02-10 DOI:10.1088/1361-6420/ae3acc
James W Webber, Sean Holman
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引用次数: 0

摘要

我们提出了一种新的微局部分析的非线性射线变换,R,出现在康普顿散射层析成像(CST)。由于CST中的衰减效应,积分权值依赖于具有奇异性的重构目标f。因此,标准的线性傅立叶积分算子(FIO)理论不适用,因为权重是非光滑的。V线(或断射线)变换V可用于模拟入射和出射射线的衰减。通过对V的新颖分析,我们描述了射线变换权值奇异点的位置和强度。同时,我们提供了新的结果,这些结果量化了基于单个成分的索博列夫阶的分布产品的奇异性的强度。通过结合这一新的理论,我们对V的分析,和经典的线性前io理论,我们确定了R f奇点的Sobolev阶。R f的最强(最低Sobolev阶)奇异点对应于应用于f的经典Radon变换的波前集元素,我们使用这个思想和已知的Radon变换结果来证明R的注入性结果。此外,我们提出了基于我们的理论的新的重建方法,并通过模拟图像重建验证了我们的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Microlocal analysis of non-linear operators arising in Compton CT.

Microlocal analysis of non-linear operators arising in Compton CT.

Microlocal analysis of non-linear operators arising in Compton CT.

Microlocal analysis of non-linear operators arising in Compton CT.

We present a novel microlocal analysis of a non-linear ray transform, R , arising in Compton scattering tomography (CST). Due to attenuation effects in CST, the integral weights depend on the reconstruction target, f, which has singularities. Thus, standard linear Fourier integral operator (FIO) theory does not apply as the weights are non-smooth. The V-line (or broken ray) transform, V , can be used to model the attenuation of incoming and outgoing rays. Through novel analysis of V , we characterize the location and strength of the singularities of the ray transform weights. In conjunction, we provide new results which quantify the strength of the singularities of distributional products based on the Sobolev order of the individual components. By combining this new theory, our analysis of V , and classical linear FIO theory, we determine the Sobolev order of the singularities of R f . The strongest (lowest Sobolev order) singularities of R f are shown to correspond to the wavefront set elements of the classical Radon transform applied to f, and we use this idea and known results on the Radon transform to prove injectivity results for R . In addition, we present novel reconstruction methods based on our theory, and we validate our results using simulated image reconstructions.

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来源期刊
Inverse Problems
Inverse Problems 数学-物理:数学物理
CiteScore
4.40
自引率
14.30%
发文量
115
审稿时长
2.3 months
期刊介绍: An interdisciplinary journal combining mathematical and experimental papers on inverse problems with theoretical, numerical and practical approaches to their solution. As well as applied mathematicians, physical scientists and engineers, the readership includes those working in geophysics, radar, optics, biology, acoustics, communication theory, signal processing and imaging, among others. The emphasis is on publishing original contributions to methods of solving mathematical, physical and applied problems. To be publishable in this journal, papers must meet the highest standards of scientific quality, contain significant and original new science and should present substantial advancement in the field. Due to the broad scope of the journal, we require that authors provide sufficient introductory material to appeal to the wide readership and that articles which are not explicitly applied include a discussion of possible applications.
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