Project detail

Quality internal grants at BUT

Duration: 01.02.2021 — 28.02.2022

Funding resources

Evropská unie - Interní grantová soutěž

- whole funder (2021-02-01 - 2022-02-28)

On the project

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.

Description in English
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.

Mark

CEITEC VUT-K-21-6956

Default language

Czech

People responsible

Zemek Marek, Ing. - principal person responsible

Units

Advanced instrumentation and methods for material characterization
- co-beneficiary (2021-02-01 - 2022-02-28)
Central European Institute of Technology BUT
- beneficiary (2021-02-01 - 2022-02-28)

Results

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

Responsibility: Zemek Marek, Ing.