Tomographic data for demonstrating distortion correction methods
<p>Datasets were used to demonstrate the improvement of a tomographic data after distortion correction was applied.</p> <p>Details in the conference paper: </p> <p>Nghia T. Vo, Robert C. Atwood, and Michael Drakopoulos "Preprocessing techniques for removing artifacts in synchrotron-based tomographic images", Proc. SPIE 11113, Developments in X-Ray Tomography XII, 111131I (10 September 2019); https://doi.org/10.1117/12.2530324</p> <p>Distortion coefficients were calculated using vounwarp package: </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>, <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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