Public
CEST MRI — 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 |
|---|---|---|---|
| b0_inhomogeneity | -10.0 – 20.0 | 5.0 | Hz |
| b1_inhomogeneity | -4.0 – 8.0 | 2.0 | - |
| saturation_power_error | -2.0 – 4.0 | 1.0 | - |
| mt_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 | DiffusionCEST + gradient | 0.843 | 37.67 | 0.981 | 0.87 | ✓ Certified | Chen et al., NeurIPS 2024 |
| 2 | PromptCEST + gradient | 0.830 | 36.35 | 0.975 | 0.88 | ✓ Certified | Liu et al., MRM 2024 |
| 3 | CESTFormer + gradient | 0.817 | 35.62 | 0.971 | 0.86 | ✓ Certified | Wu et al., IEEE TMI 2023 |
| 4 | PINN-CEST + gradient | 0.793 | 33.19 | 0.954 | 0.9 | ✓ Certified | Cohen et al., MRM 2022 |
| 5 | U-Net-CEST + gradient | 0.783 | 32.82 | 0.951 | 0.87 | ✓ Certified | Zhao et al., MRM 2021 |
| 6 | DnCNN-CEST + gradient | 0.739 | 29.62 | 0.911 | 0.89 | ✓ Certified | Zhang et al., IEEE TIP 2017 (CEST adapted) |
| 7 | WASSR + gradient | 0.668 | 25.68 | 0.823 | 0.91 | ✓ Certified | Kim et al., MRM 2009 |
| 8 | Lorentzian-Fit + gradient | 0.652 | 25.43 | 0.815 | 0.86 | ✓ Certified | Zaiss & Bachert, NMR Biomed. 2013 |
| 9 | MTR-asym + gradient | 0.590 | 22.67 | 0.718 | 0.88 | ✓ Certified | Zhou et al., Nat. Med. 2003 |
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%