Method and apparatus to facilitate administering therapeutic radiation to a patient
A control circuit accesses patient image content as well as field geometry information regarding a particular radiation treatment platform. The control circuit then generates a predicted three-dimensional dose map for the radiation treatment plan as a function of both the patient image content and the field geometry information.
1. An apparatus to facilitate providing a radiation treatment plan to administer therapeutic radiation to a patient via a particular radiation treatment platform, the apparatus comprising:
a memory having image content regarding the patient and field geometry information regarding the particular radiation treatment platform stored therein;
a control circuit operably coupled to the memory, the control circuit being configured to:
access the image content regarding the patient;
access the field geometry information;
generate a predicted three-dimensional dose map that will result when treating the patient with the radiation treatment plan as a function of both the image content regarding the patient and the field geometry information, wherein the predicted three-dimensional dose map identifies quantitatively and discreetly differing levels of radiation dose within and throughout at least part of segmented, identified structures.
2. The apparatus of claim 1 wherein the image content regarding the patient comprises, at least in part, at least one organ mask and at least one computed tomography image.
3. The apparatus of claim 2 wherein the at least one organ mask comprises, at least in part, a contoured planning target volume and at least one contoured organ-at-risk.
4. The apparatus of claim 1 wherein the field geometry information comprises at least one image depicting at least part of the field geometry information.
5. The apparatus of claim 1 wherein the control circuit is configured to generate the predicted three-dimensional dose map by providing the image content regarding the patient and the field geometry information as input to a convolutional neural network model that processes the field geometry information together with the image content regarding the patient to generate the predicted three-dimensional dose map.
6. The apparatus of claim 5 wherein the control circuit is configured to provide the image content regarding the patient and the field geometry information as input to the convolutional neural network model as stacks of two-dimensional images.
7. The apparatus of claim 6 wherein the control circuit is configured to provide the stacks of two-dimensional images via corresponding channels.
8. The apparatus of claim 7 wherein the channels comprise, at least in part:
a computed tomography images channel;
a contoured planning target volume images channel;
a contoured organ-at-risk images channel; and
a field geometry information channel.
9. The apparatus of claim 8 wherein the field geometry information provided via the field geometry information channel is encoded as imagery.
10. The apparatus of claim 9 wherein the field geometry information that is encoded as imagery is encoded as imagery having a same resolution as the computed tomography images.
11. A method to facilitate providing a radiation treatment plan to administer therapeutic radiation to a patient via a particular radiation treatment platform, the method comprising:
providing a memory having image content regarding the patient and field geometry information regarding the particular radiation treatment platform stored therein; and
by a control circuit operably coupled to the memory:
accessing the image content regarding the patient;
accessing the field geometry information; and
generating a predicted three-dimensional dose map that will result when treating the patient with the radiation treatment plan as a function of both the image content regarding the patient and the field geometry information, wherein the predicted three-dimensional dose map identifies quantitatively and discreetly differing levels of radiation dose within and throughout at least part of segmented, identified structures.
12. The method of claim 11 wherein the image content regarding the patient comprises, at least in part, at least one organ mask and at least one computed tomography image.
13. The method of claim 12 wherein the at least one organ mask comprises, at least in part, a contoured planning target volume and at least one contoured organ-at-risk.
14. The method of claim 11 wherein the field geometry information comprises at least one image depicting at least part of the field geometry information.
15. The method of claim 11 wherein generating the predicted three-dimensional dose map comprises providing the image content regarding the patient and the field geometry information as input to a convolutional neural network model that processes the field geometry information together with the image content regarding the patient to generate the predicted three-dimensional dose map.
16. The method of claim 15 wherein providing the image content regarding the patient and the field geometry information as input to the convolutional neural network model comprises providing the image content regarding the patient and the field geometry information as input to the convolutional neural network model as stacks of two-dimensional images.
17. The method of claim 16 wherein providing the stacks of two-dimensional images comprises providing the stacks of two-dimensional images via corresponding channels.
18. The method of claim 17 wherein the channels comprise, at least in part:
a computed tomography images channel;
a contoured planning target volume images channel;
a contoured organ-at-risk images channel; and
a field geometry information channel.
19. The method of claim 18 wherein the field geometry information provided via the field geometry information channel is encoded as imagery.
20. The method of claim 19 wherein the field geometry information that is encoded as imagery is encoded as imagery having a same resolution as the computed tomography images.