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:
May. 24, 2022

Filed:

Sep. 14, 2020
Applicant:

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

Inventors:

Silvain Bériault, Longueuil, CA;

Martin Emile Lachaine, Montreal, CA;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/246 (2017.01); G16H 50/20 (2018.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 15/06 (2011.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/251 (2017.01); G06T 15/06 (2013.01); G16H 50/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and techniques may be used to estimate a relative motion of patient anatomy using a deep learning network during a radiotherapy treatment. For example, a method may include using a first deep neural network to relate input real-time partial patient measurements and a patient model including a reference volume to output patient states. The method may include using a second deep neural network to relate the patient states and the reference volume to relative motion information between the patient states and the reference volume. The deep neural networks may be used in real time to estimate a relative motion corresponding to an input image.


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