Detail publikace

Spectral Computed Tomography Based on Semi-Monochromatic Imaging

MIKULÁČEK, P. ZEMEK, M. ŠTARHA, P. MALEČEK, L. KAISER, M. ZIKMUND, T. TAKEDA, Y. OMOTE, K. KAISER, J.

Anglický název

Spectral Computed Tomography Based on Semi-Monochromatic Imaging

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

Spectral computed tomography (CT) advances conventional CT by enabling material-specific imaging. This technique leverages the energy dependence of X-ray attenuation. However, the polychromatic spectra typical for laboratory and industrial CT limit the sensitivity of spectral CT methods. In this work, band-pass filtering of X-ray energies in a laboratory CT scanner is explored for the purpose of increasing spectral sensitivity. In the Rigaku nano3DX, X-ray generation is tuned to maximize the fraction of characteristic X-rays in the overall energy spectrum. This fraction is further enhanced by strategic filtering and processing of CT datasets to produce semi-monochromatic images centered on characteristic emission lines relevant to the analysis. Reconstructed CTdata can then be interpreted as linear attenuation coefficients for the given emission line in the scanned volume, with potential for further spectral and spectroscopic applications in a laboratory setting, particularly for low-Z materials.

Klíčová slova anglicky

Spectral computed tomography, Dual-energy CT, X-ray Filtration, Semi-monochromatic imaging, X-ray spectra, Material identification, Characteristic X-ray radiation

Vydáno

2026-03-01

Nakladatel

E-Journal of Nondestructive Testing

Časopis

E-Journal of nondestructive testing

Ročník

31

Číslo

3

Počet stran

9

BIBTEX


@article{BUT201337,
  author="Pavel {Mikuláček} and Marek {Zemek} and Pavel {Štarha} and Lukáš {Maleček} and Markéta {Kaiser} and Tomáš {Zikmund} and Yoshihiro {Takeda} and Kazuhiko {Omote} and Jozef {Kaiser}",
  title="Spectral Computed Tomography Based on Semi-Monochromatic Imaging",
  journal="E-Journal of nondestructive testing",
  year="2026",
  volume="31",
  number="3",
  pages="9",
  doi="10.58286/32594",
  url="https://www.ndt.net/search/docs.php3?id=32594"
}