Static X-ray CT of Mixed-Brand Spaghetti Bundles

Sample information The dataset consists of scan of 2 different pasta bundles of different brands placed inside a bottle. Each bundle is a mixture of specific brands where Mix_All consists of Albert Heijn - Spelt, Albert Heijn - Durum, DeCecco, and Gran Italia, while Mix_DeCeccoSpelt is a mixture of De Cecco and Albert Heijn - Spelt. The pasta was suspended at the bottleneck using a sponge to hold it in position. Scanning was focused on the bottleneck region. This scan was performed under static condition: the pasta is suspended in air. The static scan of each of the spaghetti brand can be found here: 10.5281/zenodo.17312653. The dynamic counterpart of a spaghetti pasta can be found here: 10.5281/zenodo.15688351. (ground_truth.png) Top view of bundled spaghetti noodles from mixed brands used in the static scans.Left: Mix_all_static - Silver: spelt, Blue: De Cecco, Red: AH durum, No shade: Grand Italia.Right: Mix_DeCeccoSpelt_static - Yellow & bigger: De Cecco, Brown: spelt. Scanner information The dataset was scanned in the FleX-ray Laboratory located at CWI in Amsterdam. The Flex-ray scanner is custom-built and consists of a cone-beam microfocus X-ray point source. More system details are available in [Coban 2020]. Scanning Settings The acquisition lasted approximately 6 minutes with a smooth scan type consisting of 2867 projections per full 360° rotation. The setup used a source-to-detector distance (SDD) of 398.99 mm and a source-to-object distance (SOD) of 124.91 mm, resulting in a magnification factor of 3.19 and a voxel size of 23.42 µm. The X-ray tube operated at 50 kV and 40 W in high-power focus mode, with target power output. Images were captured using a detector with an original pixel size of 0.0748 mm and an exposure time of 59.998 ms per frame. For the two types of mixed bundle pastas, the same settings were applied. Folder/file name description There are 4 compressed folders in total: two containing the metadata and two containing the corresponding reconstruction files for the scans. The metadata folders include configuration files (e.g., scan_settings.txt) that store the scan parameters and other essential information required for image reconstruction. Each reconstruction folder corresponds to a specific mixture of pasta brands and contains 2867 projection images, representing a full 360° rotation. All folders share the same flat-field correction images, which are used for image normalization during the reconstruction process. A script (DeCecco_data_reconstruction.py) is also provided for preprocessing and reconstructing the static volume through the ASTRA toolbox. Research Group This dataset was produced during a 5-day ASTRA workshop hosted and organized by Leiden University for the RELIANCE Doctoral Network (https://www.chalmers.se/en/projects/reliance/). Contact Details [e-mail] Acknowledgement This research received funding from Horizon Europe through the MSCA Doctoral Network RELIANCE, grant no. 101073040. References [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. [Aarle 2015] W. V. Aarle et al., "The ASTRA toolbox: A platform for advanced algorithm development in electron tomography," Ultramicroscopy, vol. 157, pp. 35–47, 2015.