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MIKULÁČEK, P. ZEMEK, M. ŠTARHA, P. ZIKMUND, T. KAISER, J.
Originální název
Application of Dual-target Computed Tomography for Material Decomposition of Low-Z Materials
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The extension of conventional computed tomography known as spectral computed tomography involves utilizing the variations in X-ray attenuation, driven by spectral and material dependencies. This technique enables the virtual decomposition of scanned objects, revealing their elemental constituents. The resultant images provide quantitative information, such as material concentration within the scanned volume. Enhancements in results are achievable through methods that capitalize on the strong correlation among decomposed images, effectively minimizing noise and artifacts. The Rigaku nano3DX submicron tomograph uses a dual-target source, which allows the generation of two distinct X-ray spectra through different target materials. This configuration holds promise for high-resolution applications in spectral tomography, particularly for low-Z materials, where it offers high contrast in the acquired images. The potential of this setup in the context of spectral computed tomography is explored in this contribution, delving into its applications for materials characterized by low atomic numbers.
Klíčová slova
Computed tomography; Spectral CT; Dual-target; Material decomposition; Low-Z materials; Correlated noise
Autoři
MIKULÁČEK, P.; ZEMEK, M.; ŠTARHA, P.; ZIKMUND, T.; KAISER, J.
Vydáno
1. 6. 2024
Nakladatel
SPRINGER/PLENUM PUBLISHERS
Místo
NEW YORK
ISSN
0195-9298
Periodikum
JOURNAL OF NONDESTRUCTIVE EVALUATION
Ročník
43
Číslo
2
Stát
Spojené státy americké
Strany počet
10
URL
https://link.springer.com/article/10.1007/s10921-024-01070-z
Plný text v Digitální knihovně
http://hdl.handle.net/11012/249349
BibTex
@article{BUT188609, author="Pavel {Mikuláček} and Marek {Zemek} and Pavel {Štarha} and Tomáš {Zikmund} and Jozef {Kaiser}", title="Application of Dual-target Computed Tomography for Material Decomposition of Low-Z Materials", journal="JOURNAL OF NONDESTRUCTIVE EVALUATION", year="2024", volume="43", number="2", pages="10", doi="10.1007/s10921-024-01070-z", issn="0195-9298", url="https://link.springer.com/article/10.1007/s10921-024-01070-z" }