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:
Oct. 15, 2024

Filed:

Nov. 18, 2021
Applicant:

Siemens Healthineers International Ag, Steinhausen, CH;

Inventors:

Heini Hyvonen, Helsinki, FI;

Hannu Laaksonen, Espoo, FI;

Ville Pietila, Helsinki, FI;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); A61N 5/10 (2006.01); G06T 7/00 (2017.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61N 5/1064 (2013.01); G06T 7/0012 (2013.01); G16H 50/20 (2018.01); A61N 2005/1074 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01);
Abstract

Disclosed herein are methods and systems for predicting a virtual bolus in order to generate a radiation therapy treatment plan comprising training, by a processor, a machine-learning model using a training dataset comprising a set of medical images corresponding to a set of previously performed radiation therapy treatments, each medical image comprising at least one planning target volume and a non-anatomical region added to the medical image; and executing, by the processor, the machine-learning model using a medical image not included within the training dataset, the machine-learning model predicting an attribute of a non-anatomical region for the medical image not included in the training dataset.


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