Detail projektu

High-resolution X-ray computed tomography inspection of metallic parts with metal artifact reduction

Období řešení: 01.02.2021 — 28.02.2022

Zdroje financování

Evropská unie - Interní grantová soutěž

- plně financující (2021-02-01 - 2022-02-28)

O projektu

Metal artifacts severely degrade CT data, making their reduction essential in fields like e.g. automotive. Currently, literature concerning this problem specifically in submicron CT is missing. In this project, a literary review of various general MAR techniques will be conducted to pick suitable approaches. Next, metal submicron CT data will be examined, and their character assessed. Other adjustments to the CT data will also be considered. Finally, the project will enter an iterative process of developing and testing a suitable MAR technique.

Popis anglicky
The aim of the project is to create a competition for student research grants and its pilot verification. The creation of a new competition will contribute to the development of cross-sectional skills of doctoral students, and thus acquire competencies for work in science and research in the future and increase their success in submitting scientific projects to national and international competitions.

Označení

CEITEC VUT-K-21-6956

Originální jazyk

čeština

Řešitelé

Zemek Marek, Ing. - hlavní řešitel

Útvary

Pokročilé instrumentace a metody pro charakterizace materiálů
- spolupříjemce (01.02.2021 - 28.02.2022)
Středoevropský technologický institut VUT
- příjemce (01.02.2021 - 28.02.2022)

Výsledky

ZEMEK, M.; ŠALPLACHTA, J.; ZIKMUND, T.; KAISER, J. Flexible Generation of Prior Images for Metal Artifact Reduction in Industrial Computed Tomography. 11th Conference on Industrial Computed Tomography (iCT) 2022, 8-11 Feb, Wels, Austria. Wels: NDT.net, 2022. p. 1-7.
Detail

ZEMEK, M.; ŠALPLACHTA, J.; ZIKMUND, T.; OMOTE, K.; TAKEDA, Y.; OBERTA, P.; KAISER, J. Automatic marker-free estimation methods for the axis of rotation in sub-micron X-ray computed tomography. Tomography of Materials and Structures, 2023, vol. 1, no. March 2023, p. 1-17. ISSN: 2949-673X.
Detail

ZEMEK, M. Flexible Generation of Prior Images for Metal Artifact Reduction in Industrial Computed Tomography. e-Journal of Nondestructive Testing. 2022.
Detail

Odpovědnost: Zemek Marek, Ing.