Public
DEXA — 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 |
|---|---|---|---|
| energy_offset | -1.0 – 2.0 | 0.5 | keV |
| soft_tissue | -3.0 – 6.0 | 1.5 | % |
| beam_overlap | -0.02 – 0.04 | 0.01 |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
9.33 dB
SSIM 0.0730
Scenario II (Mismatch)
8.45 dB
SSIM 0.0249
Scenario III (Oracle)
10.85 dB
SSIM 0.1611
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 8.85 | 0.0678 | 8.09 | 0.0247 | 10.36 | 0.1590 |
| scene_01 | 9.91 | 0.0750 | 8.97 | 0.0252 | 11.44 | 0.1618 |
| scene_02 | 9.58 | 0.0745 | 8.61 | 0.0252 | 11.27 | 0.1707 |
| scene_03 | 8.98 | 0.0744 | 8.13 | 0.0246 | 10.34 | 0.1529 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffusionDXA + gradient | 0.851 | 38.57 | 0.984 | 0.86 | ✓ Certified | Blattmann et al., arXiv 2023 (DEXA adapt.) |
| 2 | PhysDXA + gradient | 0.832 | 36.52 | 0.976 | 0.88 | ✓ Certified | Raissi et al., J. Comput. Phys. 2019 (DEXA) |
| 3 | SwinDXA + gradient | 0.820 | 35.23 | 0.969 | 0.9 | ✓ Certified | Liu et al., ICCV 2021 (DEXA adapt.) |
| 4 | DXA-U-Net + gradient | 0.794 | 33.8 | 0.959 | 0.86 | ✓ Certified | Huo et al., IEEE TMED 2021 |
| 5 | PnP-DXA + gradient | 0.769 | 31.32 | 0.935 | 0.91 | ✓ Certified | Venkatakrishnan et al., 2013 (DEXA adapt.) |
| 6 | DXA-CNN + gradient | 0.764 | 31.0 | 0.931 | 0.91 | ✓ Certified | Lee et al., Bone 2020 |
| 7 | TV-DEXA + gradient | 0.711 | 28.33 | 0.888 | 0.86 | ✓ Certified | Sidky & Pan, Phys. Med. Biol. 2008 (DEXA) |
| 8 | BML-Sep + gradient | 0.673 | 26.02 | 0.833 | 0.9 | ✓ Certified | Lehmann et al., Med. Phys. 1981 |
| 9 | FBP-DEXA + gradient | 0.632 | 24.45 | 0.784 | 0.87 | ✓ Certified | Mazess et al., Am. J. Clin. Nutr. 1990 |
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%