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
md5:25699a951eaca713145840810a316bf3
10.5 GB Preview Download
md5:b57572c5743912dc049f3eb90e136d38
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Additional details

Related works

Is described by
Preprint: 10.48550/arXiv.2307.10474 (DOI)
Is supplement to
Preprint: 10.48550/arXiv.2307.10474 (DOI)