Controlling and shaping the dose distribution outside treatment targets in external-beam radiation treatments

Patent metadata

Field	Value
Publication number	US-10143859-B2
Application number	US-201615273373-A
Country	US
Kind code	B2
Filing date	Sep 22, 2016
Priority date	Sep 22, 2016
Publication date	Dec 4, 2018
Grant date	Dec 4, 2018

Abstract

Streamlined and partially automated methods of setting normal tissue objectives in radiation treatment planning are provided. These methods may be applied to multiple-target cases as well as single-target cases. The methods can impose one or more target-specific dose falloff constraints around each target, taking into account geometric characteristics of each target such as target volume and shape. In some embodiments, methods can also take into account a planner's preferences for target dose homogeneity. In some embodiments, methods can generate additional dose falloff constraints in locations between two targets where dose bridging is likely to occur.

First claim

What is claimed is:

1. A method of controlling dose distribution outside one or more target volumes within a domain of interest of a patient in a radiation treatment plan for delivering radiation to the one or more target volumes using an external-beam radiation treatment system, the method comprising:
receiving, by a computer system, geometrical information about the one or more target volumes, wherein the one or more target volumes includes a first target volume, and wherein the geometrical information includes contour information of the first target volume;
receiving, by the computer system, a dose prescription including a lower dose limit for the first target volume;
determining, by the computer system, a first dose falloff constraint profile for voxels outside the first target volume based on (i) the contour information of the first target volume and (ii) the lower dose limit for the first target volume, wherein the first dose falloff constraint profile includes a first upper dose constraint for each voxel outside the first target volume defined by a first dose falloff constraint curve;
obtaining, by the computer system, a cost function including a first term proportional to an excess of a dose value at each respective voxel outside the first target volume with respect to a corresponding value of the first dose falloff constraint profile at the respective voxel; and
determining, by the computer system, an optimal radiation treatment plan using the cost function, wherein the optimal radiation treatment plan produces a dose distribution that is compliant with the first dose falloff constraint profile for voxels outside the first target volume, and wherein the optimal radiation treatment plan includes a control-point sequence and a multileaf collimator (MLC) leaf sequence to be used by the external-beam radiation treatment system for delivering the radiation.

2. The method of claim 1 , wherein determining the optimal radiation treatment plan comprises:
identifying, by the computer system, a plurality of candidate radiation treatment plans, each candidate radiation treatment plan having a respective control-point sequence and a respective multileaf collimator (MLC) leaf sequence for delivering the radiation using the external-beam radiation treatment system;
for each of the plurality of candidate radiation treatment plans:
determining a corresponding dose distribution for voxels outside the first target volume; and
determining a value of the first term of the cost function based on the corresponding dose distribution and the first dose falloff constraint profile; and

selecting the optimal radiation treatment plan among the plurality of candidate radiation treatment plans that minimizes the cost function.

3. The method of claim 1 , further comprising transmitting the optimal radiation treatment plan to control circuitry of the external-beam radiation treatment system to cause the external-beam radiation treatment system to deliver the radiation to the one or more target volumes according to the control-point sequence and the multileaf collimator (MLC) leaf sequence of the optimal radiation treatment plan.

4. The method of claim 1 , wherein the first term of the cost function is proportional to square of the excess of the dose value at each respective voxel outside the first target volume with respect to the corresponding value of the first dose falloff constraint profile at the respective voxel.

5. The method of claim 1 , wherein the first dose falloff constraint curve decays substantially exponentially as a function of a distance away from and in a direction normal to a surface of the first target volume.

6. The method of claim 5 , wherein the first dose falloff constraint curve asymptotically decays to a predetermined percentage of the lower dose limit for the first target volume for distances far away from the surface of the first target volume.

7. The method of claim 1 , wherein:
the dose prescription further includes an upper dose limit for the first target volume; and
determining the first dose falloff constraint profile is based on both the lower dose limit and the upper dose limit for the first target volume.

8. The method of claim 1 , wherein:
the one or more target volumes further includes a second target volume;
the geometrical information about the one or more target volumes further includes contour information of the second target volume;
the dose prescription further includes a lower dose limit for the second target volume; and
the method further comprising:
determining a second dose falloff constraint profile for voxels outside the second target volume based on (i) the contour information of the second target volume and (ii) the lower dose limit for the second target volume, wherein the second dose falloff constraint profile includes a second upper dose constraint for each voxel outside the second target volume defined by a second dose falloff constraint curve; and

wherein the first term of the cost function is further proportional to an excess of a dose value at each respective voxel outside the second target volume with respect to a corresponding value of the second dose falloff constraint profile at the respective voxel.

9. The method of claim 8 , wherein each of the first dose falloff constraint curve and the second dose falloff constraint curve asymptotically decays to a predetermined percentage of a greater of: (i) the lower dose limit for the first target volume and (ii) the lower dose limit for the second target volume, for distances far away from a surface of the first target volume and a surface of the second target volume.

10. The method of claim 8 , wherein, for each respective voxel in a region outside the first target volume and the second target volume, the first term of the cost function is proportional to the excess of the dose value at the respective voxel with respect to a greater of: (i) a corresponding value of the first dose falloff constraint profile at the respective voxel, and (ii) a corresponding value of the second dose falloff constraint profile at the respective voxel.

11. The method of claim 10 , further comprising:
determining, by the computer system, a first dose falloff constraint envelope for voxels outside the first target volume, wherein the first dose falloff constraint envelope includes a third upper dose constraint for each voxel outside the first target volume defined by a third dose falloff constraint curve; and
determining, by the computer system, a second dose falloff constraint envelope for voxels outside the second target volume, wherein the second dose falloff constraint envelope includes a fourth upper dose constraint for each voxel outside the second target volume defined by a fourth dose falloff constraint curve;
wherein the cost function further includes a second term, and wherein for each respective voxel in a region outside the first target volume and the second target volume, the second term is proportional to an excess of a dose value at the respective voxel with respect to a greater of: (i) a corresponding value of the first dose falloff constraint envelope at the respective voxel, and (ii) a corresponding value of the second dose falloff constraint envelope at the respective voxel; and
wherein the optimal radiation treatment plan produces a dose distribution for voxels in an overlap region that is compliant with the first dose falloff constraint envelope and the second dose falloff constraint envelope.

12. The method of claim 11 , wherein the second term of the cost function is proportional to square of the excess of the dose value at the respective voxel with respect to the greater of: (

Assignees

• Varian Medical Systems Int Ag

Inventors

• Ollila Santtu
• Vainio Mikko
• Peltola Jarkko
• Nord Janne

Classifications

• A61N5/1031 Primary

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• A61N5/1036

  Leaf sequencing algorithms · CPC title

• A61N5/1077 Primary

  Beam delivery systems · CPC title

• A61N5/1048

  Monitoring, verifying, controlling systems and methods · CPC title