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:
Mar. 07, 2023

Filed:

Nov. 13, 2020
Applicant:

Accuray Incorporated, Sunnyvale, CA (US);

Inventors:

Calvin R. Maurer, San Jose, CA (US);

Eric Schnarr, McFarland, WI (US);

Rich Holloway, Chapel Hill, NC (US);

Jacob Shea, Cross Plains, WI (US);

Charles Brandon Frederick, Raleigh, NC (US);

Kevin Gorczowski, Chapel Hill, NC (US);

Robert Elijah Broadhurst, Carrboro, NC (US);

Mark Foskey, Chapel Hill, NC (US);

Assignee:

Accuray Incorporated, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 5/10 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06N 3/088 (2023.01); G06T 7/246 (2017.01); G06T 7/33 (2017.01); G06N 5/00 (2023.01);
U.S. Cl.
CPC ...
A61N 5/1039 (2013.01); A61N 5/103 (2013.01); A61N 5/1031 (2013.01); A61N 5/1037 (2013.01); A61N 5/1049 (2013.01); A61N 5/1082 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/088 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 7/246 (2017.01); G06T 7/344 (2017.01); G06T 7/75 (2017.01); A61N 5/1083 (2013.01); A61N 2005/1051 (2013.01); G06N 3/0472 (2013.01); G06N 5/003 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10076 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10124 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A method comprises identifying a treatment planning image of a target subject, the treatment planning image comprising information associated with an arrangement of structures within the target subject. The method further comprises generating, based on the information, a set of reference data associated with the target subject, the reference data indicating a plurality of positions of the target subject. The method further comprises generating target-subject-specific models based on the reference data and modifying one or more hyper-parameters of the target-subject-specific mode to generate second target-subject-specific models corresponding to a second position of the plurality of positions. The method further comprises controlling a radiation treatment delivery device based on the second target-subject-specific model to deliver a radiation treatment to the target subject.


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