Hidden
Bioluminescence Tomography (BLT) — Hidden Tier
(5 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| optical_property_error_(mu_a,_mu_s') | -2.8 – 9.2 | relative |
| source_depth_ambiguity | -0.7 – 2.3 | mm |
| autofluorescence_background | -4.2 – 13.8 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PhysDiff-BLT + gradient | 0.689 | 27.93 | 0.879 | 0.79 | ✓ Certified | Physics-constrained diffusion for BLT, 2025 |
| 2 | BLT-Former + gradient | 0.660 | 26.72 | 0.851 | 0.76 | ✓ Certified | Transformer for optical tomography, MICCAI 2023 |
| 3 | DiffusionPINN-BLT + gradient | 0.655 | 25.92 | 0.83 | 0.82 | ✓ Certified | Cai et al., Phys. Med. Biol. 68:035005, 2023 |
| 4 | ScoreBLT + gradient | 0.599 | 23.81 | 0.762 | 0.78 | ✓ Certified | Score-based BLT with uncertainty, 2024 |
| 5 | PnP-ADMM (BLT) + gradient | 0.518 | 20.07 | 0.602 | 0.88 | ✓ Certified | Venkatakrishnan et al., IEEE GlobalSIP 2013 |
| 6 | Tikhonov-PR + gradient | 0.450 | 18.61 | 0.53 | 0.76 | ✓ Certified | Han et al., Opt. Express 14(8):3673, 2006 |
| 7 | BLT-CNN + gradient | 0.439 | 17.64 | 0.482 | 0.85 | ✓ Certified | Gao et al., Sci. Rep. 8:8363, 2018 |
| 8 | LISTA-BLT + gradient | 0.405 | 16.5 | 0.426 | 0.85 | ✓ Certified | Gregor & LeCun, ICML 2010; adapted BLT 2020 |
| 9 | Tikhonov-BLT + gradient | 0.337 | 14.04 | 0.312 | 0.86 | ✓ Certified | Lv et al., Phys. Med. Biol. 51:1479, 2006 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%