title: Automated Verification of IGRT-based Patient Positioning.
abstract: A system for automated quality assurance in radiotherapy of a therapist's registration was designed and tested in clinical practice. The approach compliments the clinical software's automated registration in terms of algorithm configuration and performance, and constitutes a practical approach for ensuring safe patient setups. Per our convergence analysis, evolutionary algorithms perform better in finding the global optima of the cost function with discrepancies from a deterministic optimizer seen sporadically.
authors.affiliation: Emory University. xjiang6@emory.edu.
authors.forename: Xiaojun
authors.initials: X
authors.lastname: Jiang
authors.forename: Tim
authors.initials: T
authors.lastname: Fox
authors.forename: James S
authors.initials: JS
authors.lastname: Cordova
authors.forename: Eduard
authors.initials: E
authors.lastname: Schreibmann
mesh_terms: D000465:Algorithms; D006801:Humans; D056888:Patient Positioning / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D011785:Quality Assurance, Health Care; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D061089:Radiotherapy, Image-Guided / Q000379:methods* / Q000706:statistics & numerical data; D012984:Software