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%
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