Oatmeal data: Experimental cone-beam tomographic data for techniques to improve image resolution

Coban, Sophia; Hendriksen, Allard; Pelt, Daniël; Palenstijn, Willem Jan; Batenburg, Joost

doi:10.5281/zenodo.2657644

S.B. Coban (Sophia), A.A. Hendriksen (Allard), D.M. Pelt (Daniël), W.J. Palenstijn (Willem Jan) and K.J. Batenburg (Joost)

2018-11-05

Oatmeal data: Experimental cone-beam tomographic data for techniques to improve image resolution

"Oatmeal Data" is a collection of experimental tomographic data of a plastic jar filled with store-bought mixed-size flake oatmeal. The dataset was collected to test methods specifically developed for improving image resolution in a reconstructed volume (primarily for machine learning).

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Keywords	Computed tomography, Reconstruction algorithms, Machine learning, X-ray polychromatic beam
Persistent URL	doi.org/10.5281/zenodo.2657644
Rights	creativecommons.org/licenses/by/4.0/legalcode
Note	Coban, Sophia B., Hendriksen, Allard A., Pelt, Daniël M., Palenstijn, Willem Jan, & Batenburg, K. Joost. (2018). Oatmeal Data: Experimental cone-beam tomographic data for techniques to improve image resolution [Data set]. Zenodo. https://doi.org/10.5281/zenodo.2657644
Organisation	Computational Imaging
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Coban, S.B, Hendriksen, A.A, Pelt, D.M, Palenstijn, W.J, & Batenburg, K.J. (2018). Oatmeal data: Experimental cone-beam tomographic data for techniques to improve image resolution. doi:10.5281/zenodo.2657644

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article On-the-fly machine learning for improving image resolution in tomography A.A. Hendriksen (Allard), D.M. Pelt (Daniël), W.J. Palenstijn (Willem Jan), S.B. Coban (Sophia) and K.J. Batenburg (Joost)

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On-the-fly machine learning for improving image resolution in tomography