Dev
Electrical Impedance Tomography (EIT) — 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 |
|---|---|---|
| contact_impedance | 76.0 – 136.0 | ohm |
| electrode_position_error | -0.48 – 0.72 | mm |
| background_conductivity | 0.152 – 0.272 | S/m |
| current_amplitude_drift | 0.988 – 1.018 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | EIT-Former + gradient | 0.561 | 21.73 | 0.678 | 0.86 | ✓ Certified | EIT reconstruction transformer, 2024 |
| 2 | D-bar CNN + gradient | 0.480 | 19.32 | 0.566 | 0.8 | ✓ Certified | Hamilton & Hauptmann, IEEE TMI 2018 |
| 3 | TV-ADMM + gradient | 0.458 | 18.41 | 0.52 | 0.83 | ✓ Certified | Borsic et al., Physiol. Meas. 2010 |
| 4 | Gauss-Newton + gradient | 0.412 | 17.12 | 0.456 | 0.79 | ✓ Certified | Cheney et al., SIAM Rev. 1999 |
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%