Dev
Elastography — Dev Tier
(3 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 |
|---|---|---|
| shear_speed | -0.36 – 0.54 | m/s |
| push_duration | -12.0 – 18.0 | μs |
| tissue_viscosity | -18.0 – 27.0 | % |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffElasto + gradient | 0.760 | 31.26 | 0.934 | 0.87 | ✓ Certified | Gao et al., MICCAI 2024 |
| 2 | SwinElasto + gradient | 0.760 | 31.91 | 0.942 | 0.82 | ✓ Certified | Wang et al., IEEE TMI 2023 |
| 3 | TransElasto + gradient | 0.754 | 31.09 | 0.932 | 0.85 | ✓ Certified | Li et al., Magn. Reson. Med. 2022 |
| 4 | PhysElasto + gradient | 0.750 | 30.47 | 0.924 | 0.88 | ✓ Certified | Chen et al., Magn. Reson. Med. 2024 |
| 5 | ElastoNet + gradient | 0.655 | 25.36 | 0.813 | 0.88 | ✓ Certified | Tzschatzsch et al., IEEE TMI 2021 |
| 6 | DnCNN-Elasto + gradient | 0.546 | 20.98 | 0.645 | 0.89 | ✓ Certified | Guo et al., Med. Phys. 2019 |
| 7 | LFE-Elasto + gradient | 0.490 | 19.27 | 0.563 | 0.86 | ✓ Certified | Manduca et al., Magn. Reson. Imaging 2001 |
| 8 | AIDE + gradient | 0.408 | 16.26 | 0.414 | 0.9 | ✓ Certified | Oliphant et al., Magn. Reson. Med. 2001 |
| 9 | DI-Elasto + gradient | 0.405 | 16.49 | 0.425 | 0.85 | ✓ Certified | Van Houten et al., Magn. Reson. Med. 2001 |
Visible Data Fields
y
H_ideal
spec_ranges
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%