Reconstruction algorithm for 3D Compton scattering imaging with incomplete data

Reconstruction algorithm for 3D Compton scattering imaging with incomplete data
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不完整数据的3D康普顿散射成像重建算法

DOI:
10.1080/17415977.2020.1815723
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发表时间:
2021
影响因子:
1.3
通讯作者:
B. N. Hahn
B. N. Hahn
中科院分区:
工程技术4区
文献类型:
--
作者:
G. Rigaud;B. N. Hahn

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康普顿散射描述光子与电子碰撞后的散射。光谱相机的最新发展,能够收集光子的能量,开辟了一种新的成像概念:3D康普顿散射成像(CSI),它寻求利用散射辐射作为信息矢量,而感兴趣的标本被单色电离源照射。聚焦于一阶散射建模,从CSI数据中重建图像仍然是一个困难的挑战。特别是,物理约束(检测器和扫描仪的体系结构)会导致数据中的各种不完整情况,从而在使用过滤后的反向投影类型公式时产生条纹伪影。本文讨论了利用不完备且仅假设一阶散射的CSI数据恢复研究对象的问题。所提出的方法包括适当调整乘法Kaczmarz算法,并在两种扫描仪体系结构上进行了实现和测试。此外,这里考虑的CSI模态具有不需要任何源或对象旋转的优点。
Compton scattering describes the scattering of a photon after its collision with an electron. The recent developments of spectral cameras, able to collect photons in terms of energy, open the way to a new imaging concept: 3D Compton scattering imaging (CSI), which seeks to exploit the scattered radiation as a vector of information while a specimen of interest is illuminated by a monochromatic ionizing source. Focusing on modelling the first-order scattering, image reconstruction from CSI data remains a difficult challenge. In particular, physical constraints (detector and architecture of the scanner) lead to various incompleteness scenario within the data and thus streak artifacts when using filtered backprojection type formulas. This paper addresses the problem of recovering an object under study using CSI data subject to incompleteness and assuming only first-order scattering. The proposed method consists of suitably tuning the multiplicative Kaczmarz algorithm and is implemented and tested for two architectures of the scanner. Furthermore, the modality on CSI considered here presents the advantage of not requiring any rotation of the source or object.
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