Dev
Contrast-Enhanced Ultrasound (CEUS) — 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 |
|---|---|---|
| bubble_concentration | -1.2 – 1.8 | relative |
| nonlinear_harmonic_extraction | -2.4 – 3.6 | - |
| motion_between_frames | -1.2 – 1.8 | mm |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | CEUSF-Transformer + gradient | 0.761 | 31.34 | 0.935 | 0.87 | ✓ Certified | Huang et al., IEEE TMI 2023 |
| 2 | DiffusionCEUS + gradient | 0.745 | 31.01 | 0.931 | 0.81 | ✓ Certified | Chen et al., Nat. Methods 2024 |
| 3 | SUPER-ULM + gradient | 0.738 | 30.96 | 0.93 | 0.78 | ✓ Certified | Rigo et al., IEEE TUFFC 2023 |
| 4 | PINN-CEUS + gradient | 0.715 | 28.92 | 0.899 | 0.83 | ✓ Certified | Lowerison et al., Nat. Commun. 2022 |
| 5 | DeepULM + gradient | 0.715 | 28.72 | 0.895 | 0.85 | ✓ Certified | van Sloun et al., IEEE TUFFC 2021 |
| 6 | AM-CEUS + gradient | 0.629 | 24.49 | 0.785 | 0.85 | ✓ Certified | Mor-Avi et al., JACC 2002 |
| 7 | ULM-Net + gradient | 0.586 | 23.28 | 0.742 | 0.78 | ✓ Certified | Christensen-Jeffries et al., Nat. Biomed. Eng. 2020 |
| 8 | Pulse-Inversion + gradient | 0.535 | 20.73 | 0.633 | 0.87 | ✓ Certified | Simpson et al., Ultrasound Med. Biol. 1999 |
| 9 | CNN-Bubble + gradient | 0.474 | 18.75 | 0.537 | 0.86 | ✓ Certified | Youn et al., IEEE TUFFC 2020 |
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%