Public
CT + Fluorescence (FLIT) — 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 |
|---|---|---|---|
| optical_property_assignment_error | -6.0 – 12.0 | 3.0 | - |
| autofluorescence | -10.0 – 20.0 | 5.0 | - |
| registration_(ct_to_optical) | -0.6 – 1.2 | 0.3 | mm |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
7.72 dB
SSIM 0.3738
Scenario II (Mismatch)
7.66 dB
SSIM 0.2292
Scenario III (Oracle)
16.33 dB
SSIM 0.4587
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 7.57 | 0.3615 | 7.52 | 0.2249 | 16.28 | 0.4660 |
| scene_01 | 7.70 | 0.3833 | 7.81 | 0.2328 | 16.28 | 0.4522 |
| scene_02 | 7.97 | 0.3846 | 7.55 | 0.2285 | 16.43 | 0.4500 |
| scene_03 | 7.63 | 0.3655 | 7.75 | 0.2308 | 16.33 | 0.4667 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffusionXRF + gradient | 0.867 | 38.4 | 0.983 | 0.95 | ✓ Certified | Song et al., ICLR 2021 (XRF adapt.) |
| 2 | SwinXRF + gradient | 0.841 | 36.25 | 0.975 | 0.94 | ✓ Certified | Liu et al., ICCV 2021 (XRF adapt.) |
| 3 | PhysXRF-Net + gradient | 0.828 | 35.68 | 0.972 | 0.91 | ✓ Certified | Raissi et al., J. Comput. Phys. 2019 (XRF) |
| 4 | PnP-XRF + gradient | 0.817 | 34.39 | 0.964 | 0.94 | ✓ Certified | Chan et al., IEEE TIP 2016 (XRF adapt.) |
| 5 | U-Net-XRF + gradient | 0.802 | 33.47 | 0.957 | 0.92 | ✓ Certified | Ronneberger et al., MICCAI 2015 (XRF adapt.) |
| 6 | DnCNN-XRF + gradient | 0.768 | 30.74 | 0.927 | 0.95 | ✓ Certified | Zhang et al., IEEE TIP 2017 (XRF adapt.) |
| 7 | TV-XRFCT + gradient | 0.724 | 28.32 | 0.887 | 0.93 | ✓ Certified | Larsson et al., Phys. Med. Biol. 2020 |
| 8 | MLEM-XRF + gradient | 0.654 | 24.78 | 0.795 | 0.94 | ✓ Certified | Jaszczak et al., IEEE TNS 1981 (XRF adapt.) |
| 9 | FBP-XRF + gradient | 0.531 | 20.47 | 0.621 | 0.89 | ✓ Certified | Boisseau & Grodzins, Hyperfine Int. 1987 |
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%