Dev
Functional Near-Infrared Spectroscopy (fNIRS) — Dev Tier
(3 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 |
|---|---|---|
| source_detector_coupling | 0.88 – 1.18 | - |
| scalp_brain_distance_variation | -1.2 – 1.8 | mm |
| motion_artifact_(head) | -2.4 – 3.6 | - |
| systemic_physiology_contamination | -7.2 – 10.8 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PnP-DOT + gradient | 0.710 | 28.51 | 0.891 | 0.84 | ✓ Certified | Yoo et al., IEEE TMI 2020 |
| 2 | DL-DOT + gradient | 0.704 | 27.86 | 0.878 | 0.87 | ✓ Certified | Yoo et al., IEEE TMI 2020 |
| 3 | MBLL + gradient | 0.675 | 27.28 | 0.865 | 0.78 | ✓ Certified | Cope & Delpy, Med. Biol. Eng. Comput. 1988 |
| 4 | Tikhonov-DOT + gradient | 0.585 | 22.65 | 0.717 | 0.86 | ✓ Certified | Arridge, Inverse Probl. 1999 |
Visible Data Fields
y
H_ideal
spec_ranges
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%