Public

US/MRI Fusion — 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
registration_error_(deformable) -2.0 – 4.0 1.0 mm
probe_pressure_deformation -3.0 – 6.0 1.5 mm
mr_distortion -1.0 – 2.0 0.5 mm

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

7.72 dB

SSIM 0.3738

Scenario II (Mismatch)

7.66 dB

SSIM 0.2292

Scenario III (Oracle)

16.33 dB

SSIM 0.4587

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 7.57 0.3615 7.52 0.2249 16.28 0.4660
scene_01 7.70 0.3833 7.81 0.2328 16.28 0.4522
scene_02 7.97 0.3846 7.55 0.2285 16.43 0.4500
scene_03 7.63 0.3655 7.75 0.2308 16.33 0.4667

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 TransMorph + gradient 0.774 32.22 0.945 0.87 ✓ Certified Chen et al., Med. Image Anal. 2022
2 VoxelMorph + gradient 0.735 29.14 0.903 0.91 ✓ Certified Balakrishnan et al., IEEE TMI 2019
3 B-spline FFD + gradient 0.629 23.89 0.765 0.92 ✓ Certified Rueckert et al., IEEE TMI 1999
4 Demons + gradient 0.628 23.68 0.757 0.94 ✓ Certified Thirion, Med. Image Anal. 1998

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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