title: Three-dimensional techniques and artificial intelligence in thallium-201 cardiac imaging.
abstract: Three-dimensional reconstruction techniques including bull's-eye polar-coordinate maps, surface rendering, and surface modeling have been developed that help interpreting physicians assimilate complex 3-D tomographic data. Comparison of patient data with normal files highlights myocardial perfusion abnormalities, thus facilitating their recognition. In addition, AI systems that use heuristically defined rules derived from an expert knowledge base assist inexperienced observers in drawing conclusions regarding scan abnormalities.
authors.affiliation: Department of Radiology, Emory University School of Medicine, Atlanta, GA 30322.
authors.forename: E G
authors.initials: EG
authors.lastname: DePuey
authors.forename: E V
authors.initials: EV
authors.lastname: Garcia
authors.forename: N F
authors.initials: NF
authors.lastname: Ezquerra
mesh_terms: D001185:Artificial Intelligence; D005103:Expert Systems; D006321:Heart / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D013794:Thallium Radioisotopes; D014055:Tomography, Emission-Computed
chemical_list: D013794:Thallium Radioisotopes