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Three tomographic CT datasets of a woven fabric

<p><strong>Summary</strong><br> This submission contains three tomographic datasets of a fragment of fabric woven in tapestry weave. The data is collected at three different zoom levels to achieve different reconstructed image resolution.<br> The data is made available as part of [Bossema 2020]. &nbsp;</p> <p><strong>Apparatus</strong><br> 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><strong>Sample Information</strong><br> The sample is a fragment of woven fabric approximately 7cm x 15cm in size. The fabric was hung vertically on a piece of foam, held on the top by a wooden stick through one of the holes and on the bottom by a piece of plastic tape. See Figure 5 in [Bossema 2020] for a picture of the object and examples of the reconstruction.&nbsp;<br> &nbsp;</p> <p><strong>Experimental Plan</strong><br> The data in this submission was collected to illustrate the use of zooming for the investigation of cultural heritage objects. Three region-of-interest scans of the lower part, containing a hole, were collected at different zoom levels. 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) image taken before the acquisition. Each dataset consists of 1200 projections. The source-detector distance was kept at 1098mm. At the first level of zooming, the object was placed at 963mm from the source yielding a magnification of 1.14 and 131 micron resolution. For the second level the object was moved closer to the source so that the source-object distance was 603mm, yielding a magnification of 1.82 and 82 micron resolution. At the third level, the source-object distance was reduced to 243, yielding a magnification of 4.5 and 33 micron resolution.<br> All raw data (i.e. no corrections) is made available in .tif format.</p> <p>&nbsp;</p> <p><strong>List of Contents</strong></p> <p>The content of the submission is given below.</p> <ul> <li><strong>level1: </strong>lowest resolution scan.</li> <li><strong>level2:</strong> higher resolution scan.</li> <li><strong>level3:</strong> highest resolution scan.</li> </ul> <p>Each data folder contains:</p> <ul> <li>dark-field (or closed-shutter) image,&nbsp;<em>di000000.tif</em>,</li> <li>flat-field (or open-shutter before acquisition) image,&nbsp;<em>io000000.tif</em>,</li> <li>raw (unprocessed or uncorrected) projections,<em>&nbsp;scan_*.tif</em>,</li> <li><em>data settings XRE.txt</em>, a text file with scanner metadata,</li> <li><em>scan settings.txt</em>, a text file with scanner metadata in a human readable format, and</li> <li><em>data settings XRE.ini</em>, a snapshot text file of basic geometry information at the start of a scan.</li> <li><em>script_executed.txt</em>, the text file containing the list of commands the apparatus has executed.</li> </ul> <p><strong>Additional Links</strong></p> <p>These&nbsp;datasets are&nbsp;produced by the&nbsp;<a href="https://www.cwi.nl/research/groups/computational-imaging">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&#39;s&nbsp;<a href="http://github.com/cicwi">GitHub page</a>.</p> <p><strong>Contact Details</strong><br> 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><strong>Acknowledgments</strong><br> We thank Suzan Meijer of the Rijksmuseum for providing this sample.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
0
Engagement
0

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