{"artifact_id":"L1-040","layer":"L1","title":"Diffuse Optical Tomography (DOT)","domain":"Medical Imaging","sub_domain":"Near-IR scattering-based functional imaging","physics_fingerprint":{"L_DAG":4.0,"title":"Diffuse Optical Tomography (DOT)","domain":"Medical Imaging","carrier":"photon","primitives":["L.nir_source","L.diffusion_propagation","S.scan.source_detector","int.spatial"],"sub_domain":"Near-IR scattering-based functional imaging","noise_model":"shot_poisson","problem_class":"nonlinear_inverse","solution_space":"3D_optical_absorption","difficulty_delta":10,"integration_axis":"spatial","sensing_mechanism":"near_infrared_diffusion"},"observable_profile":{"metric":"PSNR_dB","regime":"Existence of the recovered 3D optical absorption is guaranteed within the declared Omega bounds. Uniqueness is local rather than global (non-convex landscape); convergence depends on initialisation and priors. Stability is moderately conditioned (kappa_eff ~= 30); tissue_scattering dominates the stability cliff; anatomical_prior_error and the remaining mismatch parameters contribute higher-order bias terms. Photon-shot-noise-limited (poisson counting) sets the irreducible data-fidelity floor, while TV / wavelet-sparsity / deep priors stabilise recovery at the ill-conditioned end of Omega.","secondary":"SSIM"},"size_tiers":{"center_spec":{"omega":{"SNR_dB":25,"motion":0.0,"N_sources":32,"lambda_nm":760,"N_detectors":32,"partial_volume":0.1,"tissue_scattering":10.0,"source_distance_cm":3.5,"anatomical_prior_error":0.0},"input_format":"measurement_only","problem_class":"dot","forward_operator":"dot_forward","epsilon_fn_center":"18.0"},"omega_bounds":{"SNR_dB":[0.0,35.0],"motion":[0.0,0.3],"N_sources":[8,256],"lambda_nm":[650,900],"N_detectors":[8,256],"partial_volume":[0.0,0.5],"tissue_scattering":[5.0,20.0],"source_distance_cm":[1.0,10.0],"anatomical_prior_error":[0.0,0.5]},"epsilon_bounds":{"psnr_db":[5.0,45.0]},"allowed_problem_classes":["dot"],"allowed_omega_dimensions":["N_sources","N_detectors","lambda_nm","source_distance_cm","SNR_dB","tissue_scattering","anatomical_prior_error","partial_volume","motion","tissue_scattering","anatomical_prior_error","partial_volume","motion"],"allowed_forward_operators":["dot_forward"]},"hardness_fn":{"type":"epsilon_fn","delta":10,"kappa":600,"metric":"PSNR_dB"},"initiator_dataset":[{"name":"primary","weight":1.0,"ipfs_cid":null,"license_hash":null}],"status":"testnet","staked_pwm":0.0,"chain_hash":"0xb4872c1d2d2dcb7a5ef7e22a621bb2298ea0ab7a90ad8acec35cf81509135a4b","chain_tx_hash":"0x45e960be5d35ae5d2adaeb980d395acdb6a2a60427236e96d9b4892a99ccf402","chain_block":41553385}