AAPM DL-Sparse-View CT data
Data of the 2021 AAPM DL-sparse-view CT challenge: 4,000 simulated 2D breast-CT phantoms, each with an ideal noiseless 128-view fan-beam sinogram over 360° and its FBP image, plus 100 test cases. Truth is known exactly, so it isolates the sparse-view inverse problem from noise and model mismatch.
| Type | Dataset |
|---|---|
| Data | Projection + image |
| Modality | 2D fan-beam (simulated) |
| Tasks | sparse-view, reconstruction |
| Licence (of the dataset) | CC BY 4.0 |
| Official page | https://www.aapm.org/GrandChallenge/DL-sparse-view-CT/ |
Related topics
Topic pages that list this entry among their datasets and benchmarks.
- Sparse-View CT (157)
- Diffusion & Generative Priors (68)
Related entries
Directory entries that share its official page or name it in their description.
- AAPM DL-Sparse-View CT Challenge · Benchmark
Guides
Guides that compare this entry with the alternatives.
- Sparse-View CT Reconstruction: Methods, Datasets and Where to Start
- How to Choose a CT Reconstruction Dataset
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