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M.T. Zeegers (Mathé)

2022-01-17

A collection of 131 CT datasets of pieces of modeling clay containing stones - Part 1 of 5

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Publication

This submission contains a collection of 131 CT scans of pieces of modeling clay (Play-Doh) with various numbers of stones inserted. The submission is intended as raw supplementary material to reproduce the CT reconstructions and subsequent results in the paper titled "A tomographic workflow enabling deep learning for X-ray based foreign object detection" [Zeegers 2022]. This submission consists of three parts in total.

Additional Metadata
Keywords X-ray imaging, Radiographs, Tomography, Computed Tomography, CT scan, Foreign object
Persistent URL doi.org/10.5281/zenodo.5866228
Project Real-Time 3D Tomography
Rights creativecommons.org/licenses/by/4.0/legalcode
Note [Zeegers 2022] M. T. Zeegers, T. van Leeuwen, D. M. Pelt, S. B. Coban, R. van Liere, K. J. Batenburg, "A tomographic workflow to enable deep learning for X-ray based foreign object detection", 2022 (submitted) [Coban 2020] S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, “Explorative imaging and its implementation at the FleX-ray Laboratory,” J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.
Grant This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/639.073.506 - Real-Time 3D Tomography
Organisation Computational Imaging
Citation
Zeegers, M. (2022). A collection of 131 CT datasets of pieces of modeling clay containing stones - Part 1 of 5. doi:10.5281/zenodo.5866228


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