The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 13, 2024

Filed:

Jun. 22, 2021
Applicant:

Elekta, Inc., Atlanta, GA (US);

Inventor:

Lyndon Stanley Hibbard, St. Louis, MO (US);

Assignee:

Elekta, Inc., Atlanta, GA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 5/10 (2006.01); G06N 3/08 (2023.01); G16H 20/40 (2018.01); G06T 7/00 (2017.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
A61N 5/1047 (2013.01); A61N 5/1031 (2013.01); A61N 5/1067 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G16H 20/40 (2018.01); G06T 2200/08 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

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.


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