{"id":"W2063304235","doi":"10.1016/j.ultras.2014.09.005","title":"Ultrasound speckle tracking for radial, longitudinal and circumferential strain estimation of the carotid artery – An in vitro validation via sonomicrometry using clinical and high-frequency ultrasound","year":2014,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Vetenskapsrådet; Hjärt-Lungfonden; Fonds Wetenschappelijk Onderzoek; VINNOVA","keywords":"Ultrasound; Sonomicrometry; Speckle pattern; Lateral strain; Biomedical engineering; Strain (injury); Medicine; Materials science; Ultrasonic sensor; Strain rate; Nuclear medicine; Radiology; Anatomy; Optics; Hemodynamics; Internal medicine; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004328909,0.0004498271,0.0004791705,0.0005909064,0.0002330896,0.000512222,0.0004235818,0.0006966133,0.0005620848],"category_scores_gemma":[0.003800167,0.0004322325,0.0003389505,0.0004443507,0.0006790428,0.0003619695,0.0004709456,0.0003910027,0.0001976094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002391696,"about_ca_system_score_gemma":0.0004669473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007328,"about_ca_topic_score_gemma":0.001468357,"domain_scores_codex":[0.998295,0.0007963515,0.0001169826,0.0002588792,0.0004529968,0.00007976714],"domain_scores_gemma":[0.9973915,0.001467665,0.0003068603,0.00035737,0.0004149101,0.00006164541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002756623,0.0001736748,0.002926045,0.0000833489,0.00001940297,0.00003758557,0.0001840768,0.002377076,0.9796983,0.0001408598,0.00003607247,0.01404795],"study_design_scores_gemma":[0.00006866898,0.002779804,0.04462963,0.00004168259,0.0001549306,0.0005695539,0.0001212446,0.08474015,0.8651434,0.0002126492,0.001470729,0.00006755023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7829093,0.001268994,0.2146364,0.00008071029,0.00006405501,0.0001345209,0.00007054711,0.0001429245,0.0006927368],"genre_scores_gemma":[0.8176817,0.001206706,0.1798442,0.00005082976,0.00003528946,0.0002454447,0.0001645842,0.00005219425,0.0007189613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004328909,"threshold_uncertainty_score":0.02289373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382431288875197,"score_gpt":0.3193368890956314,"score_spread":0.2855125762068794,"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."}}