Therapeutic radiation treatment
A control circuit uses a (possibly self-generated) seed radiation treatment plan to identify a portion (possibly only a point) of a multi-criteria optimization (MCO)-based Pareto surface. The control circuit then selects a sampling plan set for MCO planning by enlarging that portion of the Pareto surface region to thereby facilitate developing an optimized radiation treatment plan. A radiation treatment platform then uses that optimized radiation treatment plan to treat a patient by administering the radiation in accordance with the plan.
1. An apparatus comprising:
a memory having a seed radiation treatment plan stored therein wherein the seed radiation treatment plan comprises a radiation treatment plan designed to administer radiation in a manner consistent with at least one currently-available radiation treatment platform;
a control circuit operably coupled to the memory and configured to:
use the seed radiation treatment plan to identify a portion of a multi-criteria optimization (MCO)-based Pareto surface;
select a sampling plan set for MCO planning by enlarging the portion of the Pareto surface region to thereby facilitate developing an optimized radiation treatment plan;
a radiation treatment platform configured to use the optimized radiation treatment plan to treat a patient.
2. The apparatus of claim 1 wherein the seed radiation treatment plan comprises a clinically relevant plan for the patient.
3. The apparatus of claim 1 wherein the control circuit is further configured to:
generate the seed radiation treatment plan;
store the seed radiation treatment plan in the memory.
4. The apparatus of claim 3 wherein the control circuit is configured to generate the seed radiation treatment plan using an automated knowledge-based approach.
5. The apparatus of claim 1 wherein the portion of the multi-criteria optimization (MCO)-based Pareto surface comprises a point on the multi-criteria optimization (MCO)-based Pareto surface.
6. The apparatus of claim 1 wherein the control circuit is configured to enlarge the portion of the Pareto surface region by, at least in part, taking steps from the seed radiation treatment plan in different directions to thereby facilitate consideration of different sample radiation treatment plans that are near the seed radiation treatment plan.
7. The apparatus of claim 6 wherein the different sample radiation treatment plans are near to the seed radiation treatment plan when predetermined quality indexes are within at least one predetermined clinical goal and tangent plane differences therebetween do not exceed a predetermined amount.
8. The apparatus of claim 1 wherein the control circuit is configured to enlarge the portion of the Pareto surface region by, at least in part, taking consecutive steps from the seed radiation treatment plan along a surface path from one sample radiation treatment plan to a next sample radiation treatment plan.
9. The apparatus of claim 1 wherein the control circuit is configured to enlarge the portion of the Pareto surface region by, at least in part, using clinical information to define a direction of an enlargement step to be made next.
10. The apparatus of claim 1 wherein the control circuit is configured to enlarge the portion of the Pareto surface region by, at least in part, using at least one quadratic cost function having a varying weight matrix and object values to determine a desired direction and distance in which to enlarge the portion of the Pareto surface region.
11. A method comprising:
by a control circuit:
using a seed radiation treatment plan to identify a portion of a multi-criteria optimization (MCO)-based Pareto surface, wherein the seed radiation treatment plan comprises a radiation treatment plan designed to administer radiation in a manner consistent with at least one currently-available radiation treatment platform;
selecting a sampling plan set for MCO planning by enlarging the portion of the Pareto surface region to thereby facilitate developing an optimized radiation treatment plan;
using the optimized radiation treatment plan to treat a patient.
12. The method of claim 11 wherein the seed radiation treatment plan comprises a clinically relevant plan for the patient.
13. The method of claim 11 further comprising:
generating the seed radiation treatment plan.
14. The method of claim 13 wherein generating the seed radiation treatment plan comprises using an automated knowledge-based approach.
15. The method of claim 11 wherein the portion of the multi-criteria optimization (MCO)-based Pareto surface comprises a point on the multi-criteria optimization (MCO)-based Pareto surface.
16. The method of claim 11 wherein enlarging the portion of the Pareto surface region comprises, at least in part, taking steps from the seed radiation treatment plan in different directions to thereby facilitate consideration of different sample radiation treatment plans that are near the seed radiation treatment plan.
17. The method of claim 16 wherein the different sample radiation treatment plans are considered near to the seed radiation treatment plan when predetermined quality indexes are within at least one predetermined clinical goal and tangent plane differences therebetween do not exceed a predetermined amount.
18. The method of claim 11 wherein enlarging the portion of the Pareto surface region comprises, at least in part, taking consecutive steps from the seed radiation treatment plan along a surface path from one sample radiation treatment plan to a next sample radiation treatment plan.
19. The method of claim 11 wherein enlarging the portion of the Pareto surface region comprises, at least in part, using clinical information to define a direction of an enlargement step to be made next.
20. The method of claim 11 wherein enlarging the portion of the Pareto surface region comprises, at least in part, using at least one quadratic cost function having a varying weight matrix and object values to determine a desired direction and distance in which to enlarge the portion of the Pareto surface region.