Dev
US/MRI Fusion — 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 |
|---|---|---|
| registration_error_(deformable) | -2.4 – 3.6 | mm |
| probe_pressure_deformation | -3.6 – 5.4 | mm |
| mr_distortion | -1.2 – 1.8 | mm |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | TransMorph + gradient | 0.691 | 27.51 | 0.87 | 0.84 | ✓ Certified | Chen et al., Med. Image Anal. 2022 |
| 2 | B-spline FFD + gradient | 0.600 | 23.55 | 0.752 | 0.82 | ✓ Certified | Rueckert et al., IEEE TMI 1999 |
| 3 | Demons + gradient | 0.586 | 23.04 | 0.733 | 0.81 | ✓ Certified | Thirion, Med. Image Anal. 1998 |
| 4 | VoxelMorph + gradient | 0.572 | 22.0 | 0.69 | 0.88 | ✓ Certified | Balakrishnan et al., IEEE TMI 2019 |
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%