Automated Verification of IGRT‐based Patient Positioning | Zendy

Jiang Xiaojun | Zendy; Fox Tim | Zendy; Cordova James S. | Zendy; Schreibmann Eduard | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research