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:
Dec. 17, 2024

Filed:

Jul. 02, 2020
Applicant:

Siemens Healthineers International Ag, Steinhausen, CH;

Inventors:

Laura Korhonen, Helsinki, FI;

Tuomas Tallinen, Helsinki, FI;

Jarkko Y. Peltola, Tuusula, FI;

Perttu Niemelä, Espoo, FI;

Martin Sabel, Hagendorn, CH;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 5/10 (2006.01); G16H 20/40 (2018.01); G16H 50/20 (2018.01); G16H 70/20 (2018.01); G06F 3/04847 (2022.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
A61N 5/1031 (2013.01); A61N 5/1039 (2013.01); A61N 5/1077 (2013.01); G16H 20/40 (2018.01); G16H 50/20 (2018.01); G16H 70/20 (2018.01); A61N 2005/1074 (2013.01); G06F 3/04847 (2013.01); G16H 10/60 (2018.01);
Abstract

In the context of a multi-criteria optimization workspace, a control circuit provides a user opportunity to modify radiation treatment plan optimization objective values, wherein the optimization objectives include at least one of a radiation treatment plan complexity optimization objective and a radiation treatment delivery time optimization objective. These teachings then provide for the control circuit receiving input from the user comprising a change to at least one of these optimization objective values. By one approach the control circuit first accesses a prioritized list of clinical goals and automatically generates optimization objectives as a function of the prioritized list of clinical goals. The control circuit then generates a seed optimized radiation treatment plan as a function of the automatically generated optimization objectives and subsequently generates a collection of different radiation treatment plans by varying the automatically generated optimization objectives to thereby characterize a trade-off exploration space for the multi-criteria optimization workspace.


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