2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
Scientific Data, vol. 10, pp. 576
Abstract
Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images. However, suitable experimental datasets for X-ray Computed Tomography (CT) are scarce, and methods are often developed and evaluated only on simulated data. We fill this gap by providing the community with a versatile, open 2D fan-beam CT dataset suitable for developing ML techniques for a range of image reconstruction tasks. To acquire it, we designed a sophisticated, semi-automatic scan procedure that utilizes a highly-flexible laboratory X-ray CT setup. A diverse mix of samples with high natural variability in shape and density was scanned slice-by-slice (5,000 slices in total) with high angular and spatial resolution and three different beam characteristics: A high-fidelity, a low-dose and a beam-hardening-inflicted mode. In addition, 750 out-of-distribution slices were scanned with sample and beam variations to accommodate robustness and segmentation tasks. We provide raw projection data, reference reconstructions and segmentations based on an open-source data processing pipeline.
Authors 5
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Maximilian B. Kiss corresponding
Centrum Wiskunde & Informatica
Affiliation as printed
Centrum Wiskunde & Informatica, Computational Imaging group, Amsterdam, 1098 XG, The Netherlands. maximilian.kiss@cwi.nl
Centrum Wiskunde & Informatica, Computational Imaging group, Amsterdam, 1098 XG, The Netherlands
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Centrum Wiskunde & Informatica · University of Manchester
Affiliation as printed
Centrum Wiskunde & Informatica, Computational Imaging group, Amsterdam, 1098 XG, The Netherlands
Department of Mathematics, University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
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K. Joost Batenburg Aachen
Leiden University · Centrum Wiskunde & Informatica
Affiliation as printed
Centrum Wiskunde & Informatica, Computational Imaging group, Amsterdam, 1098 XG, The Netherlands
Leiden University, LIACS, Leiden, 2300 RA, The Netherlands
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Centrum Wiskunde & Informatica · Utrecht University
Affiliation as printed
Centrum Wiskunde & Informatica, Computational Imaging group, Amsterdam, 1098 XG, The Netherlands
Utrecht University, Mathematical Institute, Utrecht, 3584 CD, The Netherlands
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Felix F. Lucka corresponding
Centrum Wiskunde & Informatica
Affiliation as printed
Centrum Wiskunde & Informatica, Computational Imaging group, Amsterdam, 1098 XG, The Netherlands. felix.lucka@cwi.nl
Centrum Wiskunde & Informatica, Computational Imaging group, Amsterdam, 1098 XG, The Netherlands
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