ADVERSARIAL PREDICTION OF RADIOTHERAPY TREATMENT PLANS

Systems and methods are disclosed for generating radiotherapy treatment machine parameters based on projection images of a target anatomy. The systems and methods include operations including receiving a set of pairs of image data for each gantry angle of a radiotherapy treatment machine, wherein ea...

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Bibliographic Details
Main Author HIBBARD, Lyndon Stanley
Format Patent
LanguageEnglish
French
German
Published 14.12.2022
Subjects
ELECTROTHERAPY
HUMAN NECESSITIES
HYGIENE
MAGNETOTHERAPY
MEDICAL OR VETERINARY SCIENCE
RADIATION THERAPY
ULTRASOUND THERAPY
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Summary:Systems and methods are disclosed for generating radiotherapy treatment machine parameters based on projection images of a target anatomy. The systems and methods include operations including receiving a set of pairs of image data for each gantry angle of a radiotherapy treatment machine, wherein each pair of the set of pairs comprises a given projection image that represents a view of an anatomy of a subject from a given gantry angle and a given graphical aperture image of multi-leaf collimator (MLC) leaf positions at the given gantry angle based on the given projection image; training a generative adversarial network (GAN) model based on the set of pairs of image data for each gantry angle; and using the trained GAN model to predict an aperture image of MLC leaf positions for a desired gantry angle based on a projection image that represents a view of an anatomical region of interest.
Bibliography:Application Number: EP20210709317