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Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high cone-angle artefact reduction.
An inversion formula for cone-beam reconstruction
Tuy, H. K · 1983
Earlier work this paper cites.
Practical cone-beam algorithm
Feldkamp, L. A., Davis, L. C. & Kress, J. W · 1984
Earlier work this paper cites.
Gradient-Based Learning Applied to Document Recognition
LeCun, Y., Bottou, L., Bengio, Y. & Haffner, P · 1998
Earlier work this paper cites.
A practical cone beam artifact correction algorithm
Hsieh, J · 2000
Earlier work this paper cites.
A factorization approach for cone-beam reconstruction on a circular short-scan
Dennerlein, F., Noo, F., Schöndube, H., Lauritsch, G. & Hornegger, J · 2008
Earlier work this paper cites.
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S. & Eliceiri, K. W · 2012
Earlier work this paper cites.
SophiaBeads Datasets Project Documentation and Tutorials
Coban, S. B · 2015
Earlier work this paper cites.
Tomographic X-ray data of a walnut
Hämäläinen, K., Harhanen, L., Kallonen, A., Kujanpää, A., Niemi, E. & Siltanen, S · 2015
Earlier work this paper cites.
Artifact reduction in short-scan CBCT by use of optimization-based reconstruction
Zhang, Z., Han, X., Pearson, E., Pelizzari, C., Sidky, E. Y. & Pan, X · 2016
Earlier work this paper cites.
TU-FG-207A-04: Overview of the Low Dose CT Grand Challenge
McCollough, C · 2016
Cited alongside, same era.
Fast and flexible X-ray tomography using the ASTRA toolbox
Van Aarle, W., Palenstijn, J. W., Cant, J., Janssens, E., Dabravolski, A., De Beenhouwer, J., Batenburg, K. J. & Sijbers, J · 2016
Cited alongside, same era.
An introduction to continuous optimization for imaging
Chambolle, A. & Pock, T · 2016
Cited alongside, same era.
Effective Radiation Dose in the Wrist Resulting from a Radiographic Device, Two CBCT Devices and One MSCT Device: A Comparative Study
Koivisto, J., Eijnatten, M., Kiljunen, T., Shi, X. & Wolff, J · 2017
Cited alongside, same era.
SparseBeads data: benchmarking sparsity-regularized computed tomography
Jørgensen, J. S., Coban, S. B., Lionheart, W. R. B, McDonald, S. A. & Withers, P. J · 2017
Cited alongside, same era.
Image reconstruction is a new frontier of machine learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
Ravishankar, S., Ye, J. C. & Fessler, J. A · 2019
Closest in time.
FleX-ray Laboratory: A highly flexible scanner for explorative imaging
Coban, S.B., Palenstijn, W.J., Buurlage, J.W., Kostenko, A. & Batenburg, K.J · 2019
Closest in time.
Cone-Beam X-Ray CT Data Collection Designed for Machine Learning: Samples 1-8
Der Sarkissian, H, Lucka, F, van Eijnatten, M., Colacicco, G., Coban, S. B. & Batenburg, K. J · 2019
Closest in time.
Cone-Beam X-Ray CT Data Collection Designed for Machine Learning: Samples 9-16
Der Sarkissian, H, Lucka, F, van Eijnatten, M., Colacicco, G., Coban, S. B. & Batenburg, K. J · 2019
Closest in time.
Cone-Beam X-Ray CT Data Collection Designed for Machine Learning: Samples 17-24
Der Sarkissian, H, Lucka, F, van Eijnatten, M., Colacicco, G., Coban, S. B. & Batenburg, K. J · 2019
Closest in time.
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Wang, G., Ye, J. C., Mueller, K. & Fessler, J. A · 2018
Cited alongside, same era.
Time-resolved synchrotron X-ray micro-tomography datasets of drainage and imbibition in carbonate rocks
Singh, K., Menke, H., Andrew, M., Rau, C., Bijeljic, B. & Blunt, M. J · 2018
Cited alongside, same era.
Tomobank: a tomographic data repository for computational X-ray science
De Carlo, F., et al · 2018
Cited alongside, same era.
Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks
Pelt, D., Batenburg, K.J. & James Sethian · 2018
Cited alongside, same era.
Der Sarkissian, H, Lucka, F, van Eijnatten, M., Colacicco, G., Coban, S. B. & Batenburg, K. J · 2019
Closest in time.
Cone-Beam X-Ray CT Data Collection Designed for Machine Learning: Samples 33-37
Der Sarkissian, H, Lucka, F, van Eijnatten, M., Colacicco, G., Coban, S. B. & Batenburg, K. J · 2019
Closest in time.
Cone-Beam X-Ray CT Data Collection Designed for Machine Learning: Samples 38-42
Der Sarkissian, H, Lucka, F, van Eijnatten, M., Colacicco, G., Coban, S. B. & Batenburg, K. J · 2019
Closest in time.