DOI: 10.5281/zenodo.14265064
title: Micro-CT reconstruction of Rijksmuseum cornett

description: Summary

This submission contains a micro-CT reconstruction of a cornett from the Rijksmuseum collection (obj. nr. BK-AM-62-B; https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B).

The data relates to [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022].

 

Apparatus

The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban, 2020].

 

Sample Information

The sample is an oak sculpture of a [Rijksmuseum inventory number BK-NM-62-B,  https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B]. It was mounted in a custom made foam stand on the rotation stage.

See Figure 10 in [Bossema, 2021] for a picture of the object and the mount and  [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022] for analysis of the reconstructed images.  

Experimental Plan

The data in this submission was collected to illustrate the scanning process to iteratively include feedback from cultural heritage experts [Bossema, 2021] and was later used for a detailed investigation of the current state and earlier restoration treatments [Dorscheid, 2022] and for illustrating the dual space method [Van Liere, 2022].

To image the entire object, thirty tiles were scanned at image resolution 50 micron, in two sessions of 15 tiles (5 vertical, 3 horizontal). For each scan, the sample was rotated 360° in circular and continuous motion, with a dark-field (closed-shutter), and flat-field (open-shutter) images taken before the acquisition. The datasets of each tile consist of 1200 projections, at 70kV, 42W, 300ms exposure time.

This dataset contains the reconstruction that was afterwards made using FleXbox [Kostenko, 2019], using the SIRT algorithm for 200 iterations with binning 2 on the radiographs, resulting in a voxel size of 100 micron. 

List of Contents

The content of the submission is given below.



BK-AM-62-B_cornetto_recon



cornetto_tiling_recon_24.py

tiling1



recon24



merged_volume_bin2





tiling2



recon24



merged_volume_bin2








The python script was used to obtain the reconstructions. The merged_volume_bin2 folders contain the reconstructions, in .tiff format of the top half (tiling1) and bottom half (tiling2) of the cornett.

 

Additional Links

These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page.

 

Contact Details

For more information or guidance in using these datasets, please get in touch with 



bossema [at] cwi.nl


 

Acknowledgments

The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).

 

References

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.

F.G.Bossema, S.B. Coban, A. Kostenko, P. van Duin, J. Dorscheid, I. Garachon, E. Hermens, R. van Liere, K. J. Batenburg, “Integrating expert feedback on the spot in a time-efficient explorative CT scanning workflow for cultural heritage objects”, Journal of Cultural Heritage, Vol. 49, p38-47, 2021

J. Dorscheid, F.G. Bossema, P. van Duin, S.B. Coban, R. van Liere, K.J. Batenburg, G.P. Di Stefano, “Looking under the skin – multi-scale CT scanning of a peculiarly constructed cornett in the Rijksmuseum”, Heritage Science 10, 161 (2022)

R. van Liere, K.J. Batenburg, I. Garachon, C.-L. Wang, J. Dorscheid (2022). The dual space: Concept and applications in cultural heritage. IEEE BITS the Information Theory Magazine, 2(1), 49–57. doi:10.1109/MBITS.2022.3202508

Kostenko, A., Palenstijn, W.J., Coban, S.B., Hendriksen, A.A., van Liere, R., Batenburg, K.J., 2020. Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX 11, 100364. https://doi.org/10.1016/j.softx.2019.100364