Dev
Proton Radiography — 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 |
|---|---|---|
| energy_loss | -2.4 – 3.6 | % |
| scattering | -6.0 – 9.0 | % |
| range_straggling | -3.6 – 5.4 | % |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | pCT-Former + gradient | 0.709 | 28.05 | 0.882 | 0.88 | ✓ Certified | Proton CT transformer, 2024 |
| 2 | DROP-TVS + gradient | 0.553 | 21.26 | 0.657 | 0.89 | ✓ Certified | Penfold et al., Med. Phys. 2010 |
| 3 | ProtonNet + gradient | 0.536 | 21.42 | 0.665 | 0.78 | ✓ Certified | Proton CT DL reconstruction, 2022 |
| 4 | FBP-MLP + gradient | 0.534 | 21.15 | 0.652 | 0.81 | ✓ Certified | Schulte et al., Med. Phys. 2008 |
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%