Public
Doppler Ultrasound — Public Tier
(3 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| sos | 1525.0 – 1570.0 | 1547.5 | m/s |
| doppler_angle | -5.0 – 10.0 | 2.5 | deg |
| wall_filter | 20.0 – 110.0 | 65.0 | Hz |
| prf | -1.0 – 2.0 | 0.5 | % |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
17.82 dB
SSIM 0.3159
Scenario II (Mismatch)
13.13 dB
SSIM 0.0462
Scenario III (Oracle)
16.47 dB
SSIM 0.1205
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 16.80 | 0.3126 | 12.50 | 0.0439 | 15.94 | 0.1205 |
| scene_01 | 19.39 | 0.3156 | 13.98 | 0.0487 | 17.30 | 0.1144 |
| scene_02 | 18.67 | 0.3153 | 13.50 | 0.0480 | 16.71 | 0.1239 |
| scene_03 | 16.41 | 0.3201 | 12.53 | 0.0440 | 15.92 | 0.1231 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PhysDoppler + gradient | 0.841 | 36.17 | 0.974 | 0.95 | ✓ Certified | Perdios et al., Sci. Rep. 2024 |
| 2 | DiffDoppler + gradient | 0.838 | 36.74 | 0.977 | 0.9 | ✓ Certified | Gao et al., MICCAI 2024 |
| 3 | SwinDoppler + gradient | 0.808 | 34.94 | 0.967 | 0.86 | ✓ Certified | Li et al., Ultrasound Med. Biol. 2023 |
| 4 | TransFlow + gradient | 0.784 | 32.63 | 0.949 | 0.89 | ✓ Certified | Wang et al., IEEE TUFFC 2022 |
| 5 | FlowNet-US + gradient | 0.742 | 29.56 | 0.91 | 0.91 | ✓ Certified | Nair et al., IEEE TMI 2020 |
| 6 | DnCNN-Doppler + gradient | 0.692 | 27.05 | 0.859 | 0.89 | ✓ Certified | Perdios et al., IEEE TUFFC 2018 |
| 7 | MV-Doppler + gradient | 0.666 | 25.4 | 0.815 | 0.93 | ✓ Certified | Langeland et al., IEEE TUFFC 2003 |
| 8 | VENC-Flow + gradient | 0.562 | 21.57 | 0.671 | 0.89 | ✓ Certified | Moran, Magn. Reson. Imaging 1982 |
| 9 | CF-Doppler + gradient | 0.523 | 20.17 | 0.607 | 0.89 | ✓ Certified | Evans & McDicken, Doppler Ultrasound 2000 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
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%