US 12,186,588 B2
Knowledge based multi-criteria optimization for radiotherapy treatment planning
Janne Nord, Espoo (FI); Esa Kuusela, Espoo (FI); Joakim Pyyry, Helsinki (FI); Jarkko Peltola, Tuusula (FI); and Martin Sabel, Hagendorn (CH)
Assigned to SIEMENS HEALTHINEERS INTERNATIONAL AG, Steinhausen (CH)
Filed by Varian Medical Systems International AG, Cham (CH)
Filed on Jan. 27, 2023, as Appl. No. 18/102,642.
Application 18/102,642 is a continuation of application No. 14/852,024, filed on Sep. 11, 2015, granted, now 11,565,126.
Prior Publication US 2023/0173303 A1, Jun. 8, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. A61N 5/10 (2006.01); G16H 20/40 (2018.01)
CPC A61N 5/1031 (2013.01) [A61N 5/1038 (2013.01); G16H 20/40 (2018.01); A61N 2005/1041 (2013.01); A61N 2005/1074 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of generating a treatment plan for treating a patient with radiotherapy, the method comprising:
identifying a plurality of organs at risk for a planning target volume;
obtaining a plurality of sample plans, wherein the plurality of sample plans are generated by use of a knowledge base comprising historical treatment plans and patient data;
performing a multi-criteria optimization, based on the plurality of sample plans, to construct a Pareto frontier, wherein the plurality of sample plans are evaluated with at least two objectives measuring qualities of the plurality of sample plans, wherein the performing the multi-criteria optimization to construct the Pareto frontier comprises using a confidence level associated with a predicted sample plan, wherein treatment plans on the constructed Pareto frontier are Pareto optimal with respect to the objectives, wherein the performing the multi-criteria optimization further comprises generating a Pareto frontier with one organ at risk at a time of the plurality of organs at risk;
receiving a selected tradeoff point on the constructed Pareto frontier;
utilizing a minimum Euclidean distance criterion such that a point on the constructed Pareto frontier closest to the selected trade off point is an identified treatment plan; and
generating the identified treatment plan by use of the constructed Pareto frontier, wherein said generating the identified treatment plan by use of the constructed Pareto frontier comprises generating (i) a combinational treatment plan comprising a combination of sample plans and (ii) a machine deliverable control point sequence corresponding to the combinational treatment plan, wherein the control point sequence is a sequence that can be delivered by a treatment machine.