Dev
Bioluminescence Tomography (BLT) — Dev Tier
(5 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 |
|---|---|---|
| optical_property_error_(mu_a,_mu_s') | -4.8 – 7.2 | relative |
| source_depth_ambiguity | -1.2 – 1.8 | mm |
| autofluorescence_background | -7.2 – 10.8 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PhysDiff-BLT + gradient | 0.735 | 29.41 | 0.907 | 0.89 | ✓ Certified | Physics-constrained diffusion for BLT, 2025 |
| 2 | BLT-Former + gradient | 0.708 | 28.99 | 0.9 | 0.79 | ✓ Certified | Transformer for optical tomography, MICCAI 2023 |
| 3 | DiffusionPINN-BLT + gradient | 0.681 | 27.0 | 0.858 | 0.84 | ✓ Certified | Cai et al., Phys. Med. Biol. 68:035005, 2023 |
| 4 | ScoreBLT + gradient | 0.660 | 26.46 | 0.844 | 0.79 | ✓ Certified | Score-based BLT with uncertainty, 2024 |
| 5 | PnP-ADMM (BLT) + gradient | 0.551 | 21.24 | 0.657 | 0.88 | ✓ Certified | Venkatakrishnan et al., IEEE GlobalSIP 2013 |
| 6 | BLT-CNN + gradient | 0.526 | 20.98 | 0.645 | 0.79 | ✓ Certified | Gao et al., Sci. Rep. 8:8363, 2018 |
| 7 | LISTA-BLT + gradient | 0.487 | 19.65 | 0.582 | 0.79 | ✓ Certified | Gregor & LeCun, ICML 2010; adapted BLT 2020 |
| 8 | Tikhonov-PR + gradient | 0.482 | 19.56 | 0.577 | 0.78 | ✓ Certified | Han et al., Opt. Express 14(8):3673, 2006 |
| 9 | Tikhonov-BLT + gradient | 0.376 | 15.84 | 0.394 | 0.8 | ✓ Certified | Lv et al., Phys. Med. Biol. 51:1479, 2006 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%