Automatic contour adaptation using neural networks

Systems and methods are disclosed for performing automatic contour adaptation. The systems and methods receive first and second images depicting an anatomy of a subject and obtain a segmentation associated with the first image. The systems and methods apply a trained neural network to estimate the a...

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Bibliographic Details
Main Authors Novosad, Philip P, Beriault, Silvain
Format Patent
LanguageEnglish
Published 12.12.2023
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTROTHERAPY
HUMAN NECESSITIES
HYGIENE
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MAGNETOTHERAPY
MEDICAL OR VETERINARY SCIENCE
PHYSICS
RADIATION THERAPY
ULTRASOUND THERAPY
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Summary:Systems and methods are disclosed for performing automatic contour adaptation. The systems and methods receive first and second images depicting an anatomy of a subject and obtain a segmentation associated with the first image. The systems and methods apply a trained neural network to estimate the adapted segmentation corresponding to the anatomy depicted in the second image, the trained network consisting of two sub-networks: a registration sub-network, generating an initial segmentation estimate representing a deformation of the segmentation associated with the first image to fit the anatomy depicted in the second image, and a segmentation refinement sub-network, predicting a refined segmentation for the second image given the initial segmentation estimate.
Bibliography:Application Number: US202117248925