X-Ray Tomography in Polychromatic Case: Utilizing the Multicomponent Object Structure in the Reconstruction Method
- 作者: Prun V.E.1, Buzmakov A.V.2, Chukalina M.V.2,3
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隶属关系:
- Moscow Institute of Physics and Technology
- Shubnikov Institute of Crystallography, Federal Scientific Research Centre “Crystallography and Photonics,” Russian Academy of Sciences
- Institute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences
- 期: 卷 64, 编号 1 (2019)
- 页面: 185-190
- 栏目: Crystallographic Software
- URL: https://journals.rcsi.science/1063-7745/article/view/193743
- DOI: https://doi.org/10.1134/S1063774519010218
- ID: 193743
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详细
A new approach is proposed to solve the problem of tomographic reconstruction when scanning objects by polychromatic radiation. The application of algebraic reconstruction method, which makes it possible to take into account the spectral features of the interaction between object components and radiation, allows one to reconstruct component distribution maps. Simultaneous analysis of the thus obtained maps and the results of reconstruction using convolution and inverse projection makes it possible to interpret quantitatively the reconstruction result, despite the arising distortions. The optimization problem is solved under limitations imposed on the local composition. The reconstruction results for synthetic projections are discussed.
作者简介
V. Prun
Moscow Institute of Physics and Technology
Email: chukalinamarina@gmail.com
俄罗斯联邦, Dolgoprudnyi, Moscow oblast, 141700
A. Buzmakov
Shubnikov Institute of Crystallography, Federal Scientific Research Centre “Crystallography and Photonics,”Russian Academy of Sciences
Email: chukalinamarina@gmail.com
俄罗斯联邦, Moscow, 119333
M. Chukalina
Shubnikov Institute of Crystallography, Federal Scientific Research Centre “Crystallography and Photonics,”Russian Academy of Sciences; Institute for Information Transmission Problems (Kharkevich Institute),
Russian Academy of Sciences
编辑信件的主要联系方式.
Email: chukalinamarina@gmail.com
俄罗斯联邦, Moscow, 119333; Moscow, 127051
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