A convolutional neural network approach to calibrating the rotation axis for X-ray computed tomography

Yang, X.; De Carlo, F.; Phatak, C.; Gürsoy, D.

doi:10.1107/S1600577516020117

Journal of Synchrotron Radiation Journal of
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Figure 2
Artificially created training datasets include circles, ellipses and triangles of different size and gray value. The images reconstructed with correct (a) and incorrect (b, c) rotation axis are shown in the top row. Bottom row images (d, e, f) are zoomed-in sections of the reconstructed images.

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 24| Part 2| March 2017| Pages 469-475

https://doi.org/10.1107/S1600577516020117

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