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Automated Verification of IGRT‐based Patient Positioning
Author(s) -
Jiang Xiaojun,
Fox Tim,
Cordova James S.,
Schreibmann Eduard
Publication year - 2015
Publication title -
journal of applied clinical medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.83
H-Index - 48
ISSN - 1526-9914
DOI - 10.1120/jacmp.v16i6.5295
Subject(s) - image guided radiation therapy , medical physics , computer science , medicine , nuclear medicine , radiology , computer vision , artificial intelligence , medical imaging
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. PACS number(s): 87.55.Qr, 87.55.T, 87.55.N

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