Public

Brachytherapy Imaging — 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
source_position_error -0.4 – 0.8 0.2 mm
attenuation_coefficient 0.19 – 0.22 0.205 1/cm
detector_gain_drift 0.99 – 1.02 1.005 -
scatter_fraction 0.13 – 0.19 0.16 -

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

17.61 dB

SSIM 0.3262

Scenario II (Mismatch)

13.04 dB

SSIM 0.0468

Scenario III (Oracle)

16.34 dB

SSIM 0.1224

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 16.58 0.3251 12.51 0.0447 15.93 0.1214
scene_01 18.88 0.3252 13.74 0.0480 17.02 0.1162
scene_02 18.30 0.3298 13.37 0.0496 16.55 0.1259
scene_03 16.68 0.3248 12.53 0.0450 15.85 0.1262

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffusionSeed + gradient 0.849 38.22 0.983 0.87 ✓ Certified Gao et al., Med. Phys. 2024
2 CTFormer + gradient 0.837 36.99 0.978 0.88 ✓ Certified Wang et al., MICCAI 2023
3 Learned Primal-Dual + gradient 0.830 35.38 0.97 0.94 ✓ Certified Adler & Oktem, IEEE TMI 2018
4 DuDoTrans + gradient 0.825 35.97 0.973 0.88 ✓ Certified Wang et al., IEEE TMI 2022
5 RED-CNN + gradient 0.809 34.05 0.961 0.92 ✓ Certified Chen et al., IEEE TMI 2017
6 Metal-AR-Net + gradient 0.802 33.99 0.961 0.89 ✓ Certified Zhang & Yu, IEEE TMI 2018
7 FBPConvNet + gradient 0.771 31.89 0.941 0.88 ✓ Certified Jin et al., IEEE TIP 2017
8 TV-ADMM + gradient 0.733 29.3 0.906 0.89 ✓ Certified Boyd et al., Found. Trends Mach. Learn. 2011
9 FDK + gradient 0.672 26.03 0.833 0.89 ✓ Certified Feldkamp et al., J. Opt. Soc. Am. A 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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