{"artifact_id":"L1-038","layer":"L1","title":"Cone-Beam CT (CBCT) — dental / interventional","domain":"Medical Imaging","sub_domain":"Flat-panel cone-beam CT reconstruction","physics_fingerprint":{"L_DAG":4.0,"title":"Cone-Beam CT (CBCT) — dental / interventional","domain":"Medical Imaging","carrier":"x_ray","primitives":["L.xray_source","L.cone_beam_geometry","S.scan.angular","L.FDK_backproject","int.angular"],"sub_domain":"Flat-panel cone-beam CT reconstruction","noise_model":"shot_poisson","problem_class":"linear_inverse","solution_space":"3D_attenuation","difficulty_delta":5,"integration_axis":"angular","sensing_mechanism":"xray_ct"},"observable_profile":{"metric":"PSNR_dB","regime":"Existence of the recovered 3D attenuation is guaranteed within the declared Omega bounds. Uniqueness holds on the measurement-supported subspace; out-of-support modes are controlled by the declared priors. Stability is moderately conditioned (kappa_eff ~= 20); scatter dominates the stability cliff; truncation 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":{"H":512,"W":512,"Z":512,"kVp":90,"mAs":20,"scatter":0.2,"pixel_mm":0.3,"truncation":0.0,"N_projections":400,"patient_motion":0.0,"geometric_misalignment":0.0},"input_format":"measurement_only","problem_class":"cbct","forward_operator":"cbct_forward","epsilon_fn_center":"27.0"},"omega_bounds":{"H":256,"W":256,"Z":[64,2048],"kVp":[60,120],"mAs":[1,200],"scatter":[0.0,0.5],"pixel_mm":[0.1,2.0],"truncation":[0.0,0.3],"N_projections":[100,2000],"beam_hardening":[0.0,0.3],"patient_motion":[0.0,0.3],"geometric_misalignment":[0.0,2.0]},"epsilon_bounds":{"psnr_db":[5.0,45.0]},"allowed_problem_classes":["cbct"],"allowed_omega_dimensions":["H","W","Z","N_projections","kVp","mAs","pixel_mm","scatter","truncation","patient_motion","geometric_misalignment","scatter","truncation","beam_hardening","patient_motion","geometric_misalignment"],"allowed_forward_operators":["cbct_forward"]},"hardness_fn":{"type":"epsilon_fn","delta":5,"kappa":400,"metric":"PSNR_dB"},"initiator_dataset":[{"name":"primary","weight":1.0,"ipfs_cid":null,"license_hash":null}],"status":"testnet","staked_pwm":0.0,"chain_hash":"0x0167c8e97c6664b8519368f278d9d1fff3ace452d1d642090aec60c2f7e14b27","chain_tx_hash":"0x6026b2517c3101582d089bad659fd833ef65a08756ca8a85cf59e7e145352218","chain_block":41553358}