Hidden

Doppler Ultrasound — Hidden Tier

(3 scenes)

Fully blind server-side evaluation — no data download.

What you get

No data downloadable. Algorithm runs server-side on hidden measurements.

How to use

Package algorithm as Docker container / Python script. Submit via link.

What to submit

Containerized algorithm accepting y + H, outputting x_hat + corrected spec.

Parameter Specifications

🔒

True spec hidden — blind evaluation, only ranges available.

Parameter Spec Range Unit
sos 1529.5 – 1574.5 m/s
doppler_angle -3.5 – 11.5 deg
wall_filter 29.0 – 119.0 Hz
prf -0.7 – 2.3 %

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 TransFlow + gradient 0.733 30.26 0.921 0.81 ✓ Certified Wang et al., IEEE TUFFC 2022
2 SwinDoppler + gradient 0.727 29.39 0.907 0.85 ✓ Certified Li et al., Ultrasound Med. Biol. 2023
3 PhysDoppler + gradient 0.719 28.59 0.893 0.88 ✓ Certified Perdios et al., Sci. Rep. 2024
4 DiffDoppler + gradient 0.716 29.1 0.902 0.82 ✓ Certified Gao et al., MICCAI 2024
5 FlowNet-US + gradient 0.486 19.26 0.563 0.84 ✓ Certified Nair et al., IEEE TMI 2020
6 VENC-Flow + gradient 0.472 18.68 0.534 0.86 ✓ Certified Moran, Magn. Reson. Imaging 1982
7 DnCNN-Doppler + gradient 0.457 18.85 0.542 0.76 ✓ Certified Perdios et al., IEEE TUFFC 2018
8 CF-Doppler + gradient 0.427 17.16 0.458 0.86 ✓ Certified Evans & McDicken, Doppler Ultrasound 2000
9 MV-Doppler + gradient 0.377 15.6 0.382 0.84 ✓ Certified Langeland et al., IEEE TUFFC 2003

Dataset

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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