Published September 1, 2023
| Version v1
Dataset
Open
Simulated nanoCT Datasets
Authors/Creators
- 1. University of Bremen
- 2. Saarland University
- 3. University of Göttingen
Description
Simulated parallel-beam and fan-beam nano-CT datasets with per-angle random phantom shifts and rotations.
The dataset generation is described in the paper Learning-based approaches for reconstructions with inexact operators in nanoCT applications.
Code to use the data is available at https://gitlab.informatik.uni-bremen.de/inn4ip/cond-inn4nanoct (in particular the module src/learned_reco/data.py).
Files
fan_beam_nano_ct_dataset.zip
Files
(32.8 GB)
| Name | Size | Download all |
|---|---|---|
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md5:25699a951eaca713145840810a316bf3
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10.5 GB | Preview Download |
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md5:b57572c5743912dc049f3eb90e136d38
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22.3 GB | Preview Download |
Additional details
Related works
- Is described by
- Preprint: 10.48550/arXiv.2307.10474 (DOI)
- Is supplement to
- Preprint: 10.48550/arXiv.2307.10474 (DOI)