Public
Elastography — 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 |
|---|---|---|---|
| shear_speed | -0.3 – 0.6 | 0.15 | m/s |
| push_duration | -10.0 – 20.0 | 5.0 | μs |
| tissue_viscosity | -15.0 – 30.0 | 7.5 | % |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
17.82 dB
SSIM 0.3159
Scenario II (Mismatch)
13.13 dB
SSIM 0.0462
Scenario III (Oracle)
16.47 dB
SSIM 0.1205
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 16.80 | 0.3126 | 12.50 | 0.0439 | 15.94 | 0.1205 |
| scene_01 | 19.39 | 0.3156 | 13.98 | 0.0487 | 17.30 | 0.1144 |
| scene_02 | 18.67 | 0.3153 | 13.50 | 0.0480 | 16.71 | 0.1239 |
| scene_03 | 16.41 | 0.3201 | 12.53 | 0.0440 | 15.92 | 0.1231 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffElasto + gradient | 0.857 | 38.02 | 0.982 | 0.92 | ✓ Certified | Gao et al., MICCAI 2024 |
| 2 | PhysElasto + gradient | 0.841 | 36.43 | 0.976 | 0.93 | ✓ Certified | Chen et al., Magn. Reson. Med. 2024 |
| 3 | SwinElasto + gradient | 0.828 | 35.51 | 0.971 | 0.92 | ✓ Certified | Wang et al., IEEE TMI 2023 |
| 4 | TransElasto + gradient | 0.782 | 32.22 | 0.945 | 0.91 | ✓ Certified | Li et al., Magn. Reson. Med. 2022 |
| 5 | ElastoNet + gradient | 0.745 | 29.99 | 0.917 | 0.89 | ✓ Certified | Tzschatzsch et al., IEEE TMI 2021 |
| 6 | DnCNN-Elasto + gradient | 0.693 | 26.97 | 0.857 | 0.9 | ✓ Certified | Guo et al., Med. Phys. 2019 |
| 7 | AIDE + gradient | 0.638 | 24.6 | 0.789 | 0.88 | ✓ Certified | Oliphant et al., Magn. Reson. Med. 2001 |
| 8 | DI-Elasto + gradient | 0.623 | 23.56 | 0.753 | 0.93 | ✓ Certified | Van Houten et al., Magn. Reson. Med. 2001 |
| 9 | LFE-Elasto + gradient | 0.516 | 20.02 | 0.6 | 0.88 | ✓ Certified | Manduca et al., Magn. Reson. Imaging 2001 |
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%