Trajectory optimization using dose estimation and conflict detection

1. A method of radiation treatment planning comprising:

determining, by one or more processors, an estimate of a radiation dose distribution within an anatomical region of a patient;

determining, by the one or more processors using the estimate of the radiation dose distribution, a cost matrix representing an objective function defined in terms of the estimate of the radiation dose distribution and patient specific data;

projecting, by the one or more processors, the cost matrix on each of a plurality of fluence planes, each of the plurality of fluence planes associated with a corresponding gantry-couch orientation of a plurality of gantry-couch orientations of a medical linear accelerator device; and

determining, using projections of the cost matrix on each of the plurality of fluence planes, a sequence of gantry-couch orientations among the plurality of gantry-couch orientations representing a treatment path.

2. The method of claim 1 , wherein determining the estimate of radiation dose the distribution within the anatomical region of the patient includes determining the estimate of the radiation dose distribution as a function of a distance from a planning target volume (PTV) of the anatomical region of the patient.

3. The method of claim 1 , wherein the objective function reflects one or more radiation constraints for the patient.

4. The method of claim 1 , wherein the objective function is defined to optimize an intensity-modulated radiation therapy (IMRT) based radiation plan.

5. The method of claim 1 , wherein the objective function is defined to optimize a volumetric-modulated arc therapy (VMAT) based radiation plan.

6. The method of claim 1 , further comprising:

determining the plurality of gantry-couch orientations by discretizing a space of possible gantry-couch orientations, each point of a discretized space of possible gantry-couch orientations represents a corresponding gantry-couch orientation of the plurality of gantry-couch orientations.

7. The method of claim 1 , wherein projecting the cost matrix on each of the plurality of fluence planes includes applying a weighted projection.

8. The method of claim 7 , wherein applying the weighted projection includes weighing projected values of the cost matrix on each of the plurality of fluence planes according to a depth relative to a planning target volume (PTV) inside the anatomical region of the patient in a direction of a radiation beam.

9. The method of claim 1 , wherein determining the sequence of gantry-couch orientations includes:

computing, for each gantry-couch orientation of the plurality of gantry-couch orientations, a corresponding matrix sum value representing a sum of a projection of the cost matrix on each of the plurality of fluence planes a target mask of a fluence plane associated with each gantry-couch orientation; and

determining the sequence of gantry-couch orientations using matrix sum values computed for the plurality of gantry-couch orientations.

10. The method of claim 9 , wherein determining the sequence of gantry-couch orientations includes minimizing a total of matrix sum values over the treatment path, the treatment path extending over a predefined range of the plurality of gantry-couch orientations.

11. A radiation treatment planning system comprising:

one or more processors; and

a non-transitory memory to store computer code instructions, the computer code instructions when executed cause the one or more processors to:

determine an estimate of a radiation dose distribution within an anatomical region of a patient;

determine, using the estimate of the radiation dose distribution, a cost matrix representing an objective function defined in terms of the estimate of the radiation dose distribution and patient specific data;

project the cost matrix on each of a plurality of fluence planes, each of the plurality of fluence planes associated with a corresponding gantry-couch orientation of a plurality of gantry-couch orientations of a medical linear accelerator device; and

determine, using projections of the cost matrix on each of the plurality of fluence planes, a sequence of gantry-couch orientations among the plurality of gantry-couch orientations representing a treatment path.

12. The radiation treatment planning system of claim 11 , wherein the computer code instructions when executed cause the one or more processors to determine the estimate of the radiation dose distribution within the anatomical region of the patient by determining the estimate of the radiation dose distribution as a function of a distance from a planning target volume (PTV) of the anatomical region of the patient.

13. The radiation treatment planning system of claim 11 , wherein the objective function reflects one or more radiation constraints for the patient.

14. The radiation treatment planning system of claim 11 , wherein the objective function is defined to optimize an intensity-modulated radiation therapy (IMRT) based radiation plan or to optimize a volumetric-modulated arc therapy (VMAT) based radiation plan.

15. The radiation treatment planning system of claim 11 , wherein the computer code instructions when executed further cause the one or more processors to:

determine the plurality of gantry-couch orientations by discretizing a space of possible gantry-couch orientations, each point of a discretized space of possible gantry-couch orientations represents a corresponding gantry-couch orientation of the plurality of gantry-couch orientations.

16. The radiation treatment planning system of claim 11 , wherein the computer code instructions when executed cause the one or more processors to project the cost matrix on each of the plurality of fluence planes by applying a weighted projection.

17. The radiation treatment planning system of claim 16 , wherein the computer code instructions when executed cause the one or more processors to apply the weighted projection by weighing projected values of the cost matrix on each of the plurality of fluence planes according to a depth relative to a planning target volume (PTV) inside the anatomical region of the patient in a direction of a radiation beam.

18. The radiation treatment planning system of claim 11 , wherein the computer code instructions when executed cause the one or more processors to determine the sequence of gantry-couch orientations by:

computing, for each gantry-couch orientation of the plurality of gantry-couch orientations, a corresponding matrix sum value representing a sum of a projection of the cost matrix on each of the plurality of fluence planes on a target mask of a fluence plane associated with each gantry-couch orientation; and

determining the sequence of gantry-couch orientations using matrix sum values computed for the plurality of gantry-couch orientations.

19. The radiation treatment planning system of claim 18 , wherein the computer code instructions when executed cause the one or more processors to determine the sequence of gantry-couch orientations by minimizing a total of matrix sum values over the treatment path, the treatment path extending over a predefined range of the plurality of gantry-couch orientations.

20. A non-transitory computer-readable medium including computer code instructions stored thereon, the computer code instructions when executed cause one or more processors to:

determine an estimate of a radiation dose distribution within an anatomical region of a patient;

determine, using the estimate of the radiation dose distribution, a cost matrix representing an objective function defined in terms of the estimate of the radiation dose distribution and patient specific data;

project the cost matrix on each of a plurality of fluence planes, each of the plurality of fluence planes associated with a corresponding gantry-couch orientation of a plurality of gantry-couch orientations of a medical linear accelerator device; and

determine, using projections of the cost matrix on each of the plurality of fluence planes, a sequence of gantry-couch orientations among the plurality of gantry-couch orientations representing a treatment path.