Micro-CT reconstruction of Rijksmuseum cornett

<p><strong>Summary</strong></p> <p>This submission contains a micro-CT reconstruction of a cornett from the Rijksmuseum collection (obj. nr. BK-AM-62-B; <a href="https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B">https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B</a>).</p> <p>The data relates to [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022].</p> <p><em>&nbsp;</em></p> <p><strong>Apparatus</strong></p> <p>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&nbsp;pixels, 14-bit, flat detector panel. Full details can be found in [Coban, 2020].</p> <p><em>&nbsp;</em></p> <p><strong>Sample Information</strong></p> <p>The sample is an oak sculpture of a [Rijksmuseum inventory number BK-NM-62-B, &nbsp;https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B]. It was mounted in a custom made foam stand on the rotation stage.</p> <p>See Figure 10 in [Bossema, 2021] for a picture of the object and the mount and &nbsp;[Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022] for analysis of the reconstructed images. <em>&nbsp;<br><br></em></p> <p><strong><em>Experimental Plan</em></strong></p> <p>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].</p> <p>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&deg; 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.</p> <p>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<em>. </em></p> <p><strong>List of Contents</strong></p> <p>The content of the submission is given below.</p> <ul> <li>BK-AM-62-B_cornetto_recon <ul> <li>cornetto_tiling_recon_24.py</li> <li>tiling1 <ul> <li>recon24 <ul> <li>merged_volume_bin2</li> </ul> </li> </ul> </li> <li>tiling2 <ul> <li>recon24 <ul> <li>merged_volume_bin2</li> </ul> </li> </ul> </li> </ul> </li> </ul> <p>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.</p> <p>&nbsp;</p> <p><strong>Additional Links</strong></p> <p>These&nbsp;datasets are&nbsp;produced by the&nbsp;<a>Computational Imaging group</a>&nbsp;at Centrum Wiskunde &amp; Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's&nbsp;<a>GitHub page</a>.</p> <p><em>&nbsp;</em></p> <p><strong>Contact Details</strong></p> <p>For more information or guidance in using these datasets, please get in touch with&nbsp;</p> <ul> <li>bossema [at] cwi.nl</li> </ul> <p><em>&nbsp;</em></p> <p><strong>Acknowledgments</strong></p> <p>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).</p> <p>&nbsp;</p> <p><strong>References</strong></p> <p>S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, &ldquo;Explorative imaging and its implementation at the FleX-ray Laboratory,&rdquo; <em>J. Imaging</em>, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1296207421000558"><strong>F.G.Bossema</strong>, S.B. Coban, A. Kostenko, P. van Duin, J. Dorscheid, I. Garachon, E. Hermens, R. van Liere, K. J. Batenburg, &ldquo;Integrating expert feedback on the spot in a time-efficient explorative CT scanning workflow for cultural heritage objects&rdquo;, Journal of Cultural Heritage, Vol. 49, p38-47, 2021</a></p> <p><a href="https://heritagesciencejournal.springeropen.com/articles/10.1186/s40494-022-00800-8">J. Dorscheid, <strong>F.G. Bossema</strong>, P. van Duin, S.B. Coban, R. van Liere, K.J. Batenburg, G.P. Di Stefano, &ldquo;Looking under the skin &ndash; multi-scale CT scanning of a peculiarly constructed cornett in the Rijksmuseum&rdquo;, Heritage Science 10, 161 (2022)</a></p> <p>R. van Liere, K.J. Batenburg, I. Garachon, C.-L. Wang, J. Dorscheid (2022). The dual space: Concept and applications in cultural heritage. <em>IEEE BITS the Information Theory Magazine</em>, <em>2</em>(1), 49&ndash;57. doi:10.1109/MBITS.2022.3202508</p> <p>Kostenko, A., Palenstijn, W.J., Coban, S.B., Hendriksen, A.A., van Liere, R., Batenburg, K.J.,&nbsp;2020. Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX 11,&nbsp;100364. https://doi.org/10.1016/j.softx.2019.100364</p> <p>&nbsp;</p> <p>&nbsp;</p>