Public

Arterial Spin Labeling (ASL) 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
labeling_efficiency 0.83 – 0.89 0.86 -
transit_delay 1.2 – 2.1 1.65 s
t1_blood_error -2.0 – 4.0 1.0 -

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 PromptMR + gradient 0.820 34.76 0.966 0.93 ✓ Certified Xin et al., ECCV 2024
2 Score-MRI (ASL) + gradient 0.804 33.97 0.961 0.9 ✓ Certified Chung & Ye, Med. Image Anal. 93:102689, 2022
3 E2E-VarNet + gradient 0.800 33.24 0.955 0.93 ✓ Certified Sriram et al., MICCAI 2020
4 ReconFormer + gradient 0.790 33.23 0.955 0.88 ✓ Certified Guo et al., IEEE TMI 41(5):1297, 2024
5 U-Net (ASL) + gradient 0.764 30.59 0.925 0.94 ✓ Certified Tian et al., MRM 89(4):1616, 2023
6 Kinetic-CS + gradient 0.755 30.67 0.926 0.89 ✓ Certified Zhao et al., JMRI 60(4):1204, 2024
7 PnP-DnCNN + gradient 0.704 27.97 0.88 0.86 ✓ Certified Ahmad et al., IEEE SPM 2020
8 L1-Wavelet (ESPIRiT) + gradient 0.668 25.75 0.825 0.9 ✓ Certified Lustig et al., MRM 2007; Uecker et al., MRM 2014
9 Zero-Filled IFFT + gradient 0.567 21.6 0.673 0.91 ✓ Certified Zbontar et al., fastMRI, arXiv 2018

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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