Public

DOT — Public Tier

(3 scenes)

Full-access development tier with all data visible.

Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.

Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.

Reconstructed signals (x_hat) and corrected spec as HDF5.

✓

True spec visible — use these exact values for Scenario III oracle reconstruction.

Parameter	Spec Range	True Value	Unit
mu_a	-10.0 – 20.0	5.0	%
mu_s	-8.0 – 16.0	4.0	%
source_pos	-1.0 – 2.0	0.5	mm

Method: CPU_baseline — Mismatch parameter: nominal

17.61 dB

SSIM 0.3262

13.04 dB

SSIM 0.0468

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

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	DiffusionDOT + gradient	0.835	36.94	0.978	0.87	✓ Certified	Gao et al., NeurIPS 2024
2	SwinDOT + gradient	0.821	34.82	0.967	0.93	✓ Certified	Wang et al., Biomed. Opt. Express 2023
3	PhysDOT + gradient	0.815	35.18	0.969	0.88	✓ Certified	Chen et al., Opt. Express 2024
4	TransDOT + gradient	0.775	32.28	0.946	0.87	✓ Certified	Li et al., IEEE TMI 2022
5	DOT-Net + gradient	0.730	29.33	0.906	0.87	✓ Certified	Guo et al., Biomed. Opt. Express 2021
6	DnCNN-DOT + gradient	0.707	27.39	0.867	0.93	✓ Certified	Yoo et al., Sci. Rep. 2019
7	FEM-DOT + gradient	0.607	23.11	0.735	0.91	✓ Certified	Schweiger et al., J. Biomed. Opt. 2005
8	TV-DOT + gradient	0.559	21.59	0.672	0.87	✓ Certified	Borsic et al., IEEE TMI 2010
9	Born-Approx + gradient	0.502	19.08	0.554	0.95	✓ Certified	Arridge, Inverse Probl. 1999

y H_ideal spec_ranges x_true true_spec

Format: HDF5

Scenes: 3

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%