Dev
Industrial CT — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| beam_hardening_order | -0.6 – 0.9 | |
| scatter_fraction | -0.18 – 0.27 | |
| source_blur | -3.6 – 5.4 | pixels |
| detector_efficiency | 0.73 – 1.18 |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | FBPConvNet + gradient | 0.745 | 30.51 | 0.924 | 0.85 | ✓ Certified | Jin et al., IEEE TIP 2017 |
| 2 | PnP-ADMM + gradient | 0.687 | 26.78 | 0.853 | 0.89 | ✓ Certified | Venkatakrishnan et al., 2013 |
| 3 | FDK + gradient | 0.686 | 27.53 | 0.871 | 0.81 | ✓ Certified | Feldkamp et al., JOSA A 1984 |
| 4 | Learned Primal-Dual + gradient | 0.671 | 25.92 | 0.83 | 0.9 | ✓ Certified | Adler & Oktem, IEEE TMI 2018 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%