Method and apparatus pertaining to multi-stage radiation-treatment plan optimization

1. A method to facilitate optimizing a radiation-treatment plan, the method comprising:

at a control circuit:

during a first optimization stage:

using a first radiation-treatment plan optimization process that concludes within a first period of time, that employs user-selected constraints that comprise non-machine-specific constraints, and that models at least one of a dose-distribution shape and a dose-distribution property to provide a first plan result, wherein the first plan result is non-specific with respect to a particular radiation-delivery apparatus and in particular is independent of any particular radiation-delivery method, such that the first plan result is independent of a radiation beam's specific trajectory, a speed at which a radiation source can be moved, an available number of collimators, any particular type of available collimator, a number of available collimator leaves, available collimator leaf shapes, a speed at which collimator leaves can be moved, and whether a corresponding patient support device is capable of movement;

providing an opportunity for a user to modify the user-selected constraints in view of the first plan result to thereby provide resultant vetted user-selected constraints;

during a second optimization stage:

using a second radiation-treatment plan optimization process that requires more than the first period of time to conclude and that employs the resultant vetted user-selected constraints to provide an optimized radiation-treatment plan, wherein the second radiation-treatment plan optimization process makes use of operating parameters for a specific radiation-delivery apparatus, wherein the operating parameters are specific and precise with respect to physical limitations of the specific radiation-delivery apparatus including movement speed limitations for a radiation source and speed limitations for changing aperture settings of a multi-leaf collimator, and wherein the second optimization stage yields the optimized radiation-treatment plan in less time than it would take the second optimization stage alone, in the absence of employing the resultant vetted user-selected constraints, to produce the optimized radiation-treatment plan.

2. The method of claim 1 wherein the user-selected constraints pertain, at least in part, to dosing requirements for a target and limitation-of-exposure requirements for non-targets.

3. The method of claim 1 wherein the second optimization stage offers reduced opportunities for dynamic user interaction as regards modification of the user-selected constraints as compared to the first optimization stage.

4. The method of claim 1 wherein the second radiation-treatment plan optimization process comprises a more precise optimization process than the first radiation-treatment plan optimization process.

5. The method of claim 4 wherein the second radiation-treatment plan optimization process comprises a higher-resolution version of the first radiation-treatment plan optimization process.

6. The method of claim 1 wherein the first radiation-treatment plan optimization process employs simpler models pertaining to a treatment target area as compared to the second radiation-treatment plan optimization process.

7. The method of claim 1 wherein the first radiation-treatment plan optimization process provides general plan results that are non-specific with respect to a particular radiation-delivery method.