Public

X-ray Fluorescence Tomography — Public Tier

(5 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
self_absorption_correction -6.0 – 12.0 3.0 -
rotation_axis_offset -0.6 – 1.2 0.3 px
fluorescence_yield_error -2.0 – 4.0 1.0 -
dead_time_at_high_count_rate -2.0 – 4.0 1.0 -

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

33.04 dB

SSIM 0.8313

Scenario II (Mismatch)

22.80 dB

SSIM 0.4030

Scenario III (Oracle)

24.56 dB

SSIM 0.4982

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 32.90 0.8330 22.40 0.4133 24.52 0.5154
scene_01 32.93 0.8361 22.59 0.4422 24.50 0.5349
scene_02 33.03 0.8183 23.28 0.3763 24.65 0.4644
scene_03 33.32 0.8377 22.94 0.3802 24.59 0.4779

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffusionInstrumentation + gradient 0.781 31.57 0.938 0.95 ✓ Certified Zhang et al., 2024
2 CalibFormer + gradient 0.775 31.34 0.935 0.94 ✓ Certified Transformer calibration, 2024
3 Instrument-CNN + gradient 0.741 29.54 0.91 0.91 ✓ Certified Instrument-specific CNN
4 ResNet-Calib + gradient 0.728 29.08 0.902 0.88 ✓ Certified ResNet for calibration, 2022
5 MassSpecFormer + gradient 0.722 28.75 0.896 0.88 ✓ Certified Mass spectrometry transformer, 2024
6 ScoreInstrumentation + gradient 0.688 27.02 0.859 0.87 ✓ Certified Wei et al., 2025
7 PnP-BM3D + gradient 0.653 25.17 0.808 0.89 ✓ Certified Danielyan et al., 2012
8 PnP-NLM + gradient 0.638 24.53 0.787 0.89 ✓ Certified Non-local means filter
9 Calibration-Lookup + gradient 0.625 23.83 0.762 0.91 ✓ Certified Look-up table calibration
10 Peak Fitting + gradient 0.619 23.91 0.765 0.87 ✓ Certified Gaussian peak fitting
11 Deconv + gradient 0.599 22.57 0.714 0.94 ✓ Certified Analytical baseline

Visible Data Fields

y H_ideal spec_ranges x_true true_spec

Dataset

Format: HDF5
Scenes: 5

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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