A line trajectory X-ray tomography dataset of a wooden plank

Summary

This submission contains a tomographic dataset of a wooden plank.

The data is made available as part of [Bossema et al., 2021].  

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 a conifer plank (20mm x 150mm x 230mm).
 

Experimental Plan

The data in this submission was collected to compare dendrochronological measurements on the reconstructed image using a linear scanning trajectory and a photograph of the transverse section of the plank on the outside (see Figure 6 in [Bossema et al, 2021]). The projections were acquired using 70kV and 30W tube settings.

All raw data (i.e. no corrections) is made available in .tif format.

List of Contents

The content of the submission is given below.

• continuous_line_panel: 1875 projections

This data folder contains:

• dark-field (or closed-shutter) image, di000000.tif,
• flat-field (or open-shutter) image before acquisition, io000000.tif, and after acquisition, io000001.tif,
• raw (unprocessed or uncorrected) projections, scan_*.tif,
• scan settings.txt, a text file with scanner metadata in more human readable format, and
• script_executed.txt, the text file containing the list of commands the apparatus has executed.
• data settings XRE.txt, a text file with scanner metadata,
• Acquisition settings XRE, a text file with scanner metadata.

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).