Public
SPECT — Public Tier
(3 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| center_offset | -1.5 – 3.0 | 0.75 | pixels |
| collimator_septal | -0.02 – 0.04 | 0.01 | |
| attenuation | -5.0 – 10.0 | 2.5 | % |
| scatter | 0.15 – 0.3 | 0.225 |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
28.17 dB
SSIM 0.9192
Scenario II (Mismatch)
16.29 dB
SSIM 0.8748
Scenario III (Oracle)
14.39 dB
SSIM 0.0299
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 29.94 | 0.9533 | 16.53 | 0.8739 | 14.34 | 0.0264 |
| scene_01 | 25.10 | 0.8560 | 14.64 | 0.8537 | 13.86 | 0.0301 |
| scene_02 | 27.61 | 0.9222 | 17.32 | 0.8981 | 14.87 | 0.0343 |
| scene_03 | 30.01 | 0.9453 | 16.69 | 0.8736 | 14.48 | 0.0286 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PET-ViT + gradient | 0.844 | 36.67 | 0.977 | 0.93 | ✓ Certified | Smith et al., ICCV 2024 |
| 2 | PETFormer + gradient | 0.818 | 34.92 | 0.967 | 0.91 | ✓ Certified | Li et al., ECCV 2024 |
| 3 | TransEM + gradient | 0.786 | 31.96 | 0.942 | 0.95 | ✓ Certified | Xie et al., 2023 |
| 4 | DeepPET + gradient | 0.770 | 31.09 | 0.932 | 0.93 | ✓ Certified | Haggstrom et al., MIA 2019 |
| 5 | U-Net-PET + gradient | 0.768 | 31.53 | 0.937 | 0.89 | ✓ Certified | Ronneberger et al. variant, MICCAI 2020 |
| 6 | FBP-PET + gradient | 0.700 | 27.23 | 0.864 | 0.91 | ✓ Certified | Analytical baseline |
| 7 | ML-EM + gradient | 0.692 | 27.14 | 0.862 | 0.88 | ✓ Certified | Shepp & Vardi, IEEE TPAMI 1982 |
| 8 | OS-EM + gradient | 0.692 | 26.65 | 0.849 | 0.93 | ✓ Certified | Hudson & Larkin, IEEE TMI 1994 |
| 9 | MAPEM-RDP + gradient | 0.669 | 25.71 | 0.824 | 0.91 | ✓ Certified | Nuyts et al., IEEE TMI 2002 |
| 10 | OSEM + gradient | 0.578 | 22.08 | 0.693 | 0.9 | ✓ Certified | Hudson & Larkin, IEEE TMI 1994 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
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%