Hidden

CBCT — Hidden Tier

(20 scenes)

Fully blind: 20 adversarial 256³ phantoms (extreme complexity: TPMS, reaction-diffusion, multi-metal, depth-6 vascular trees). Strongest mismatch.

What you get

No data download. Algorithm runs server-side on hidden projections.

How to use

Package algorithm as Docker container / Python script accepting projections + geometry, outputting reconstructed volume + corrected spec.

What to submit

Containerized algorithm. Scored server-side against adversarial phantoms.

Parameter Specifications

🔒

True spec hidden — blind evaluation, only ranges available.

Parameter Spec Range Unit
source_offset_x -0.5 – 3.5 mm
source_offset_z -0.5 – 2.5 mm
detector_tilt -0.15 – 0.85 deg
detector_shift_u -0.8 – 5.2 px
beam_hardening 0.045 – 0.195
scatter_fraction 0.03 – 0.13

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DuDoTrans + gradient 0.750 31.51 0.937 0.8 ✓ Certified Wang et al., IEEE TMI 2022
2 CTFormer + gradient 0.744 30.74 0.927 0.83 ✓ Certified Wang et al., MICCAI 2023
3 DiffusionCBCT + gradient 0.658 26.72 0.851 0.75 ✓ Certified Gao et al., Med. Phys. 2024
4 DuDoNet + gradient 0.655 26.68 0.85 0.74 ✓ Certified Lin et al., CVPR 2019
5 Learned Primal-Dual + gradient 0.649 25.54 0.819 0.83 ✓ Certified Adler & Oktem, IEEE TMI 2018
6 FDK + gradient 0.625 24.41 0.783 0.84 ✓ Certified Feldkamp et al., J. Opt. Soc. Am. A 1984
7 Metal-AR-Net + gradient 0.622 24.54 0.787 0.81 ✓ Certified Zhang & Yu, IEEE TMI 2018
8 TV-ADMM + gradient 0.583 22.63 0.716 0.85 ✓ Certified Boyd et al., Found. Trends 2011
9 FBPConvNet + gradient 0.576 22.68 0.718 0.81 ✓ Certified Jin et al., IEEE TIP 2017

Dataset

Scenes: 20

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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