{"id":"W1999101585","doi":"10.1118/1.3447722","title":"Design of iterative ROI transmission tomography reconstruction procedures and image quality analysis","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Université de Sherbrooke; Polytechnique Montréal","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Iterative reconstruction; Region of interest; Image quality; Computer vision; Computer science; Artificial intelligence; Scanner; Iterative method; Image resolution; Projection (relational algebra); Reconstruction algorithm; Algorithm; Image (mathematics); Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353275,0.001002639,0.0004996727,0.0007004814,0.0003165733,0.0007496268,0.001497492,0.0006794948,0.002068872],"category_scores_gemma":[0.009865061,0.0006425973,0.0006328944,0.0003842613,0.0005664615,0.0007493511,0.0006863572,0.0006467708,0.0007080602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990586,"about_ca_system_score_gemma":0.00135758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008174579,"about_ca_topic_score_gemma":0.0008229908,"domain_scores_codex":[0.9988123,0.0004431219,0.00007534039,0.0001672847,0.0004471015,0.0000548671],"domain_scores_gemma":[0.996901,0.001427058,0.0004956428,0.0003129204,0.0007807981,0.00008250549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008618397,0.0002616709,0.005123213,0.0007025338,0.0002560992,0.0004784495,0.0005381989,0.295946,0.2760043,0.0153422,0.001379234,0.4031061],"study_design_scores_gemma":[0.00006916302,0.0004212763,0.00144786,0.0000383135,0.00006935919,0.0005087372,0.00003982819,0.8994154,0.0934665,0.002091639,0.002389714,0.00004225416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004607492,0.00002807523,0.9948564,0.00001295869,0.000002124439,0.00007422554,0.00001017316,0.0002814256,0.0001271529],"genre_scores_gemma":[0.05943846,0.00005242873,0.9397612,0.00001473563,0.000004711342,0.0002663165,0.00004865383,0.0001950516,0.0002184843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002353275,"threshold_uncertainty_score":0.01244551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145615355544894,"score_gpt":0.3420282172435832,"score_spread":0.3205720636881343,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}