A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram

Bellos, D.; Basham, M.; Pridmore, T.; French, A.P.

doi:10.1107/S1600577519003448

Journal of Synchrotron Radiation Journal of
Synchrotron Radiation

IUCr IT WDC

home archive editors for authors for readers submit subscribe open access

view article

Figure 19
The reconstruction of the 1502th real-world sinogram (area [501:1500, 501:1500] of [1:2560,1:2560], pixel-value [−1/2560:1/2560]). (A) From the original dataset with 361 projections. (B) Using UDNN-128 and an upscaling factor of 4× (361 projections). (C) Using cubic interpolation (361 projections).

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 26| Part 3| May 2019| Pages 839-853

https://doi.org/10.1107/S1600577519003448

Open

access

Follow J. Synchrotron Rad.

Search IUCr Journals		doi		Advanced search
Author		volume	page