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Tomographic data for demonstrating distortion correction methods

<p>Datasets were&nbsp;used to demonstrate the improvement of a tomographic data after distortion correction was applied.</p> <p>Details in the conference paper:&nbsp;</p> <p>Nghia T. Vo,&nbsp;Robert C. Atwood,&nbsp;and&nbsp;Michael Drakopoulos&nbsp;&quot;Preprocessing techniques for removing artifacts in synchrotron-based tomographic images&quot;, Proc. SPIE 11113, Developments in X-Ray Tomography XII, 111131I (10 September 2019);&nbsp;https://doi.org/10.1117/12.2530324</p> <p>Distortion coefficients were calculated using vounwarp package:&nbsp;</p> <p><a href="https://github.com/DiamondLightSource/vounwarp/blob/master/vounwarp/examples/example_01.py">https://github.com/DiamondLightSource/vounwarp/blob/master/vounwarp/examples/example_01.py</a></p> <p>Slices can be reconstructed using the <a href="https://github.com/DiamondLightSource/Savu">Savu</a> pipeline: <a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/corrections/dark_flat_field_correction.py">flat-field correction</a>, <a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/corrections/distortion_correction_dev.py">distortion correction</a>,&nbsp;&nbsp;<a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/centering/vo_centering.py">center of rotation calculation</a>, <a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/ring_removal/remove_all_rings.py">ring artifact removal</a>, and<a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/reconstructions/astra_recons/astra_recon_gpu.py"> FBP reconstruction</a>.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
July 16, 2019
License
cc-by-4.0
DOI
10.5281/zenodo.3339628

Scored with release 0.9.0

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