Public

X-ray Angiography — 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
contrast_timing -0.5 – 1.0 0.25 s
motion -2.0 – 4.0 1.0 mm
scatter -0.05 – 0.1 0.025

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

14.88 dB

SSIM 0.2885

Scenario II (Mismatch)

11.40 dB

SSIM 0.0410

Scenario III (Oracle)

14.64 dB

SSIM 0.1177

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 14.80 0.2898 11.38 0.0400 14.58 0.1169
scene_01 15.05 0.2857 11.41 0.0409 14.66 0.1169
scene_02 14.99 0.2846 11.40 0.0427 14.66 0.1192
scene_03 14.69 0.2938 11.40 0.0405 14.65 0.1180

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffusionAngio + gradient 0.830 35.7 0.972 0.92 ✓ Certified Shen et al., Med. Image Anal. 94:103102, 2024
2 NeRF-Angio + gradient 0.818 34.78 0.966 0.92 ✓ Certified Wang et al., IEEE Trans. Med. Imaging 43:1401, 2024
3 VesselNet + gradient 0.809 33.92 0.96 0.93 ✓ Certified Zhang et al., Radiology AI 6:e230298, 2024
4 AngioFormer + gradient 0.799 33.43 0.956 0.91 ✓ Certified Geometry-aware transformer for few-view 3DRA, 2024
5 FBPConvNet + gradient 0.787 32.27 0.946 0.93 ✓ Certified Jin et al., IEEE TIP 26:4509, 2017
6 Learned Primal-Dual + gradient 0.778 32.48 0.948 0.87 ✓ Certified Adler & Oktem, IEEE TMI 37:1322, 2018
7 PnP-ADMM + gradient 0.742 30.07 0.918 0.87 ✓ Certified Venkatakrishnan et al., IEEE GlobalSIP 2013
8 TV-CS + gradient 0.716 28.65 0.894 0.86 ✓ Certified Rudin et al., Physica D 60:259, 1992; Sidky et al., PMB 2008
9 FDK + gradient 0.646 25.05 0.804 0.87 ✓ Certified Feldkamp et al., JOSA A 1(6):612, 1984

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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