Public

Intravascular Ultrasound (IVUS) — 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
catheter_rotation_non_uniformity -2.0 – 4.0 1.0 -
ring_down_artifact -4.0 – 8.0 2.0 -
sound_speed_in_plaque 1508.0 – 1604.0 1556.0 m/s

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

17.61 dB

SSIM 0.3262

Scenario II (Mismatch)

13.39 dB

SSIM 0.0553

Scenario III (Oracle)

16.66 dB

SSIM 0.1359

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 16.58 0.3251 12.85 0.0515 16.16 0.1317
scene_01 18.88 0.3252 14.12 0.0562 17.37 0.1299
scene_02 18.30 0.3298 13.74 0.0603 16.95 0.1425
scene_03 16.68 0.3248 12.85 0.0534 16.15 0.1394

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 UltrasoundFormer + gradient 0.806 33.64 0.958 0.93 ✓ Certified Park et al., CVPR 2024
2 DiffUS + gradient 0.799 34.06 0.961 0.87 ✓ Certified Chen et al., NeurIPS 2024
3 ScoreUS + gradient 0.798 33.34 0.956 0.91 ✓ Certified Johnson et al., ECCV 2025
4 AttentionBeam + gradient 0.792 33.49 0.957 0.87 ✓ Certified Xu et al., ECCV 2024
5 Phase-ADMM-Net + gradient 0.790 32.33 0.946 0.94 ✓ Certified Hou et al., IEEE TMI 2022
6 BeamDATA + gradient 0.789 33.25 0.955 0.87 ✓ Certified Smith et al., ICCV 2024
7 BeamFormer + gradient 0.783 32.45 0.947 0.9 ✓ Certified Li et al., ICCV 2024
8 ABLE + gradient 0.762 30.55 0.925 0.93 ✓ Certified Luijten et al., IEEE TMI 2020
9 MU-Net + gradient 0.756 30.69 0.927 0.89 ✓ Certified Hyun et al., IEEE TUFFC 2022
10 PnP-TV + gradient 0.753 30.3 0.921 0.91 ✓ Certified TV regularization for ultrasound
11 PnP-ADMM + gradient 0.697 26.98 0.858 0.92 ✓ Certified Goudarzi et al., 2020
12 PW-DAS + gradient 0.622 23.95 0.767 0.88 ✓ Certified Plane wave synthesis baseline
13 DAS-CF + gradient 0.614 23.72 0.758 0.87 ✓ Certified Capon filter, IEEE 1969
14 DAS + gradient 0.567 21.61 0.673 0.91 ✓ Certified Analytical baseline

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%
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