Radiation therapy optimization unit with global considerations

1. A radiation therapy planning system, comprising:

a radiation therapy (RT) optimization unit comprising a processor, the RT optimization unit configured to:

receive at least one target structure and at least one organ-at-risk (OAR) segmented from a volumetric image;

weight voxels according to a distance from a nearest one of the at least one target structure;

receive a first dose goal for one of the at least one organ-at-risk; and

generate an optimized plan based on at least one modified objective function comprising a maximum organ-at-risk modified objective function associated with voxels in the one of the at least one organ-at-risk, the optimized plan comprising a planned radiation dose for each voxel, wherein generating the optimized plan comprises decreasing the planned radiation dose for at least one voxel below the received first dose goal based on the maximum organ-at-risk modified objective function, when the first dose goal is met.

2. The radiation therapy planning system according to claim 1 , wherein the RT optimization unit is further configured to receive, a first weight, and a first level of sparing for one of the at least one organ-at-risk.

3. The radiation therapy planning system according to claim 2 , wherein the RT optimization unit is further configured to receive a second dose goal, a second weight, and a second level of sparing for one of the at least one organ-at-risk, and one of the at least one modified objective function comprises a maximum organ-at-risk equivalent uniform dose modified objective function associated with voxels in the one of the at least one organ-at-risk.

4. The radiation planning therapy system according to claim 1 , wherein the RT optimization unit is configured to adjust at least one of a first weight, a second weight, the first dose goal, and a second dose goal between iterations of optimization for at least one voxel in the volumetric image.

5. The radiation therapy planning system according to claim 1 , wherein the RT optimization unit is configured to generate a dose fall off region structure which comprises a geometric volume of voxels surrounding the at least one target structure a distance from the at least one target structure, and associates a modified objective function with the dose fall off region structure.

6. The radiation therapy planning system according to claim 5 , wherein the RT optimization unit is configured to generate a body region structure which comprises a volume of voxels in the body region structure excluding voxels in the dose fall off region, the at least one target structure, and the at least one organ-at-risk, and to associate the maximum organ-at-risk modified objective function with the body region structure and a received third dose goal.

7. The radiation therapy planning system according to claim 1 , wherein the at least one target structure and the at least one organ-at-risk comprise an overlapping region of voxels, and the planned radiation dose in the overlapping region of voxels is computed according to at least one of:

the maximum organ-at-risk modified objective function weighted according to received dose goals of the at least one organ-at-risk; or

a maximum organ-at-risk equivalent uniform dose modified objective function weighted according to a distance from an edge of the overlapping region of voxels and received dose goals of the at least one target structure.

8. The radiation therapy planning system according to claim 1 , wherein the RT optimization unit is configured to fit a dose grid to a volume of the volumetric image and compute planned doses in iterations for a group of spatially adjacent voxels, which in subsequent iteration are processed as volumes of individual voxels; and further comprising:

a radiation delivery device configured to deliver a set of external radiation beams to the at least one target structure according to the optimized plan.

9. A method of radiation therapy planning, comprising:

segmenting at least one target structure and at least one organ-at-risk from a volumetric image;

weighting voxels according to a distance from a nearest one of the at least one target structure;

receiving a first dose goal for one of the at least one organ-at-risk; and

generating an optimized plan based on at least one modified objective function, and the optimized plan comprises a planned radiation dose for at least one voxel,

wherein one of the at least one modified objective function comprises a maximum organ-at-risk modified objective function associated with voxels in the one of the at least one organ-at-risk, and

wherein generating based on the maximum organ-at-risk modified objective function decreases the planned radiation dose for the at least one voxel below the received dose goal, when the received first dose goal is met.

10. The method according to claim 9 , further comprising:

receiving, a first weight, and a first level of sparing for the one of the at least one organ-at-risk.

11. The method according to claim 10 , further comprising:

receiving a second dose goal, a second weight, and a second level of sparing for one of the at least one organ-at-risk, and one of the at least one modified objective function comprises a maximum organ-at-risk equivalent uniform dose modified objective function associated with voxels in the one of the at least one organ-at-risk.

12. The method according to claim 9 , wherein generating comprises adjusting at least one of a first weight, a second weight, a first dose goal and a second dose goal between iterations of optimization for at least one voxel.

13. The method according to claim 9 , wherein generating comprises generating a dose fall off region structure, which comprises a geometric volume of voxels surrounding the at least one target structure a distance from the at least one target structure, and associating a modified objective function with the dose fall off region structure.

14. The method according to claim 13 , wherein generating comprises generating a body region structure, which comprises a volume of voxels in the body region structure excluding voxels in the dose fall off region, the at least one target structure, and the at least one organ-at-risk, and associating the maximum organ-at-risk modified objective function with the body region structure and a received third dose goal.

15. The method according to claim 9 , further comprising

controlling a radiation delivery device with the optimized plan to deliver a set of external radiation beams to the at least one target structure.

16. A therapy control device for radiation therapy (RT) optimization, comprising:

a processor;

a tangible and non-transitory memory that stores instructions, which when executed by the processor, cause the processor to:

receive at least one target structure and at least one organ-at-risk (OAR) segmented from a volumetric image;

weight voxels according to a distance from a nearest one of the at least one target structure;

receive a first dose goal for one of the at least one organ-at-risk; and

generate an optimized plan based on at least one modified objective function comprising a maximum organ-at-risk modified objective plan associated with voxels in the one of the at least one organ-at-risk, the optimized plan comprising a planned radiation dose for each voxel, wherein generating the optimized plan comprises decreasing the planned radiation dose for at least one voxel below the received first dose goal based on the maximum organ-at-risk modified objective function, when the first dose goal is met.

17. The therapy control device according to claim 16 , wherein the tangible and non-transitory memory stores further instructions, which when executed by the processor, cause the processor to receive, a first weight, and a first level of sparing for one of the at least one organ-at-risk.

18. The therapy control device according to claim 16 , wherein the at least one target structure and the at least one organ-at-risk each comprise an overlapping region of voxels, and the planned radiation dose in the overlapping region of voxels is determined based on at least one of:

the maximum organ-at-risk modified objective function weighted according to received dose goals of the at least one organ-at-risk; or

a maximum organ-at-risk equivalent uniform dose modified objective function weighted according to a distance from an edge of the overlapping region of voxels and received dose goals of the at least one target structure.

19. The therapy control device according to claim 16 , wherein the tangible and non-transitory memory that stores further instructions, which when executed by the processor, cause the processor to:

fit a dose grid to a volume of the volumetric image and compute planned doses in iterations for groups of spatially adjacent voxels, which in subsequent iterations are processed as volumes of individual voxels; and generate a set of control instructions that cause a radiation delivery device configured to deliver a set of external radiation beams to the at least one target structure according to the optimized plan.