System and method of calculating dose uncertainty
View Patent ↗A dose calculation tool operable to generate a variance map that represents a dose uncertainty. The variance map illustrates on a point-by-point basis where high uncertainty in the dose may exist and where low uncertainty in the dose may exist. The dose uncertainty is a result of an error in one or more data parameters related to a delivery parameter or a computational parameter.
1. A method of detecting a delivery error in a radiation delivery device, the method comprising using a computer to carry out the steps of:
generating a treatment plan for a patient, the treatment plan including an intended fluence;
delivering radiation to the patient according to the treatment plan;
acquiring output fluence information from the radiation delivery device after delivery of the treatment plan;
comparing the output fluence information and the intended fluence to determine a fluence variance; and
applying a dose calculation algorithm to the fluence variance to generate a dose variance map.
2. The method of claim 1 wherein the fluence variance is based on feedback from the radiation delivery device over the course of a plurality of treatments.
3. The method of claim 1 further comprising modifying the treatment plan based on the fluence variance.
4. The method of claim 1 further comprising generating a new treatment plan based on the fluence variance.
5. The method of claim 1 further comprising selecting a different radiation delivery device to deliver the treatment plan based on the fluence variance.
6. The method of claim 1 further comprising modifying the treatment plan based on anticipated changes to the radiation delivery device.
7. The method of claim 1 further comprising displaying the dose variance map.
8. The method of claim 1 wherein the dose variance map represents an uncertainty indication in the dose to be delivered to the patient, the uncertainty indication related to a data parameter of the radiation delivery device.
9. The method of claim 8 wherein the data parameter includes a combination of multiple single data parameters.
10. The method of claim 8 wherein the data parameter is fluence.
11. The method of claim 8 wherein the data parameter is linac output.
12. The method of claim 8 wherein the data parameter is leaf timing.
13. The method of claim 8 wherein the data parameter is jaw position.
14. The method of claim 8 wherein the data parameter is couch position.
15. The method of claim 8 wherein the data parameter is gantry position.