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%
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