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Summary
\nThis submission is a supplementary material to the article [Coban 2020b]. As part of the manuscript, we release three simulated parallel-beam tomographic datasets of 94 apples with internal defects, the ground truth reconstructions and two defect label files.
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Description
\nThis Zenodo upload contains the ground truth reconstructed slices for each apple. In total, there are 72192 reconstructed slices, which have been divided into 6 separate submissions:
The simulated parallel-beam datasets and defect label files are also available through this project, via a separate Zenodo upload: 10.5281/zenodo.4212301.
\n\nApparatus
\nThe 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 2020a].
Ground Truth Generation
\n\nWe reconstructed the raw tomographic data, which was captured at sample resolution of 54.2µm over a 360 degrees in circular and continuous motion in a cone-beam setup. A total of 1200 projections were collected, which were distributed evenly over the full circle. The raw tomographic data is available upon request.
\n\nThe ground truth reconstructed slices were generated based on Conjugate Gradient Least Squares (CGLS) reconstruction of each apple. The voxel grid in the reconstruction was 972px x 972px x 768px. The resolution in the ground truth reconstructions remained unchanged.
\n\nAll ground truth reconstructed slices are in .tif format. Each file is named "appleNo_sliceNo.tif".
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List of Contents
\nThe contents of the submission is given below.
Additional Links
\nThese 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
\nFor more information or guidance in using these dataset, please get in touch with
Acknowledgments
\nWe acknowledge GREEFA for supplying the apples and further discussions.
Only materials (dataset, publications, presentations) produced by the members of the CI-CWI are allowed.
\r\n", "page": "Welcome to the Zenodo community for the Computational Imaging at Centrum Wiskunde & Informatica (CI-CWI).
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This community, created and maintained by the CI-CWI, is a collection of the research materials produced by its members.
\r\n\r\nHere, you can find various dataset collected by our flexible, state-of-the-art scanner, various publications, PhD or MSc Thesis supplements and conference presentations by the CI-CWI members.
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Links:
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