Public

Functional Near-Infrared Spectroscopy (fNIRS) — 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
source_detector_coupling 0.9 – 1.2 1.05 -
scalp_brain_distance_variation -1.0 – 2.0 0.5 mm
motion_artifact_(head) -2.0 – 4.0 1.0 -
systemic_physiology_contamination -6.0 – 12.0 3.0 -

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

17.61 dB

SSIM 0.3262

Scenario II (Mismatch)

13.39 dB

SSIM 0.0553

Scenario III (Oracle)

16.66 dB

SSIM 0.1359

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 16.58 0.3251 12.85 0.0515 16.16 0.1317
scene_01 18.88 0.3252 14.12 0.0562 17.37 0.1299
scene_02 18.30 0.3298 13.74 0.0603 16.95 0.1425
scene_03 16.68 0.3248 12.85 0.0534 16.15 0.1394

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DL-DOT + gradient 0.790 32.8 0.951 0.91 ✓ Certified Yoo et al., IEEE TMI 2020
2 PnP-DOT + gradient 0.784 32.22 0.945 0.92 ✓ Certified Yoo et al., IEEE TMI 2020
3 MBLL + gradient 0.728 28.43 0.89 0.94 ✓ Certified Cope & Delpy, Med. Biol. Eng. Comput. 1988
4 Tikhonov-DOT + gradient 0.660 25.07 0.804 0.94 ✓ Certified Arridge, Inverse Probl. 1999

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%
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