Treatment plan optimization method for radiosurgery
Systems and methods for providing radiosurgery treatment to a patient by combining methods from both traditional radiosurgery and radiotherapy are disclosed. A dose sufficient to kill tissue is applied to a target area while a steep drop off, or gradient, is provided at the border between the target area and adjacent areas so that other portions of the brain or nearby structures or organs are not damaged. The treatment plan is optimized by using both measures known in the art along with a new gradient index or curve that indicates the amount of the drop off at the border between the target area and the surrounding tissues.
1. A method for planning delivery of a radiation dose to a target area within a subject, the method comprising:
defining a desired dose distribution to be delivered to the target area;
defining a gradient index at the border of the target area indicating a desired reduction in dose from the target area to the surrounding tissue;
specifying a plurality of beam aperture points along a trajectory comprising relative movement between a radiation source and the subject; and
iteratively optimizing a simulated dose distribution relative to the desired dose distribution and the gradient index to determine one or more radiation delivery parameters associated with each of the plurality of beam aperture points.
2. The method of claim 1 , further comprising adding a second plurality of beam aperture points along the trajectory.
3. The method of claim 1 , wherein iteratively optimizing a simulated dose distribution relative to the desired dose distribution and the gradient index further comprises iteratively optimizing the simulated dose distribution subject to one or more constraints.
4. The method of claim 1 , wherein iteratively optimizing the simulated dose distribution to determining one or more radiation delivery parameters associated with each of the plurality of beam aperture points comprises, for each iteration:
varying one or more of the radiation delivery parameters associated with one or more of the plurality of beam aperture points;
determining a revised simulated dose distribution based on the one or more varied radiation delivery parameters;
determining to accept or reject the one or more varied radiation delivery parameters by using an optimization algorithm and the revised simulated dose distribution; and
updating the current radiation delivery parameters to include the one or more varied radiation delivery parameters if the one or more varied radiation delivery parameters is accepted.
5. The method of claim 1 , wherein the one or more radiation delivery parameters comprise one or more beam-shaping parameters.
6. The method of claim 5 , wherein the one or more beam-shaping parameters comprise one or more configurations of a multi-leaf collimator.
7. The method of claim 6 , wherein iteratively optimizing a simulated dose distribution relative to the desired dose distribution and the gradient index further comprises calculating leaf positions for each leaf pair of the multi-leaf collimator in order to achieve the determined radiation delivery parameter associated with each of the plurality of beam aperture points.
8. The method of claim 7 , further comprising using a leaf controller to move each leaf pair into the calculated leaf positions at each of the plurality of beam aperture points.
9. The method of claim 8 , wherein calculating leaf positions further comprises determining that the calculated leaf positions can be achieved within the mechanical limitations of the multi-leaf collimator.
10. The method of claim 1 , wherein the one or more radiation delivery parameters comprise a beam intensity.
11. The method of claim 1 , wherein the one or more radiation delivery parameters comprise a position of the radiation source relative to the subject.
12. A radiation treatment system comprising:
a radiation source configured to generate a beam of radiation;
a gantry configured to move the radiation source; and
a computing device configured to:
receive a definition of a target area, a desired dose to the target area, and a gradient index at the border of the target area indicating a desired reduction in dose from the target area to the surrounding tissue;
specify a plurality of beam aperture points along a trajectory comprising relative movement between the radiation source and a subject; and
iteratively optimize a simulated dose distribution relative to a desired dose distribution and the gradient index to determine one or more radiation delivery parameters associated with each of the plurality of beam aperture points.
13. The radiation treatment system of claim 12 , further comprising a beam aperture having a plurality of aperture leaves configured to shape the beam of radiation, and wherein the computing device is further configured to calculate a leaf position for each of the plurality of aperture leaves in order to achieve the determined radiation delivery parameter associated with each of the plurality of beam aperture points.
14. The radiation treatment system of claim 13 , wherein the computing device is further configured to calculate a leaf position for each of the plurality of aperture leaves at each of the beam aperture points responsive to the desired dose distribution and gradient index thereby providing the desired dose distribution.
15. The radiation treatment system of claim 12 , wherein the computing device is further configured to add a second plurality of beam aperture points along the trajectory.
16. The radiation treatment system of claim 12 , wherein the computing device is further configured to iteratively optimize the simulated dose distribution relative to the desired dose distribution and the gradient index subject to one or more constraints.
17. The radiation treatment system of claim 12 wherein the computing device is further configured to iteratively optimize the simulated dose distribution to determine one or more radiation delivery parameters associated with each of the plurality of beam aperture points by, for each iteration:
varying one or more of the radiation delivery parameters associated with one or more of the plurality of beam aperture points;
determining a revised simulated dose distribution based on the one or more varied radiation delivery parameters;
determining, to accept or reject the one or more varied radiation delivery parameters by using an optimization algorithm and the revised simulated dose distribution; and
updating the current radiation delivery parameters to include the one or more varied radiation delivery parameters if the one or more varied radiation delivery parameters is accepted.
18. The radiation treatment system of claim 12 , wherein the radiation source is an x-ray source.
19. A computing system comprising:
input means for receiving a definition of a target area, a desired dose to the target area, and a gradient index at the border of the target area indicating a desired reduction in dose from the target area to the surrounding tissue;
an aperture position engine for selecting a plurality of beam aperture points along a trajectory comprising relative movement between a radiation source and a subject; and
an optimization engine for iteratively optimizing a simulated dose distribution relative to a desired dose distribution and the gradient index to determine one or more radiation delivery parameters associated with each of the plurality of beam aperture points.
20. The computing system of claim 19 , further comprising:
a leaf position calculator configured to calculate leaf positions for a plurality of leaves in a radiation beam aperture, the leaf positions being configured to achieve the determined radiation delivery parameter associated with each of the plurality of beam aperture points; and
a leaf controller configured to control the plurality of leaves according to the leaf positions calculated using the leaf position calculator.
21. The computing system of claim 19 , wherein the optimization engine is further configured to instruct the aperture position engine to add additional beam aperture points along the trajectory.
22. The computing system of claim 19 , wherein the optimization engine is further configured to iteratively optimize the simulated dose distribution subject to one or more constraints.
23. The computing system of claim 19 , wherein the optimization engine is further configured to optimize the simulated dose distribution by, for each iteration:
varying one or more of the radiation delivery parameters associated with one or more of the plurality of beam aperture points;
determining a revised simulated dose distribution based on the one or more varied radiation delivery parameters;
determining to accept or reject the one or more varied radiation delivery parameters by using an optimization algorithm and the revised simulated dose distribution; and
updating the current radiation delivery parameters to include the one or more varied radiation delivery parameters if the one or more varied radiation delivery parameters is accepted.