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1. (WO2018160763) RADIATION THERAPY TREATMENT VERIFICATION WITH ELECTRONIC PORTAL IMAGING DEVICE TRANSIT IMAGES
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CLAIMS

What is claimed is:

1. A method for radiation therapy treatment verification comprising:

acquiring treatment plan information from a radiation therapy system;

acquiring patient image data;

acquiring transit image data received from an electronic portal imaging device during radiation therapy;

dividing the treatment plan information into a plurality of segments;

determining predicted segment image data utilizing a predicted image calculation algorithm and at least the patient image data, and the treatment plan information;

determining a predicted integrated image through superposition of the predicted segment image data;

determining measured segment responses from the transit image data utilizing the predicted segment image data and the predicted integrated image;

converting the measured segment responses to measured segment doses; and comparing a measured dose map comprising a sum of the measured segment doses to a planned dose map based on the treatment plan information to assess radiation treatment delivery.

2. The method of claim 1, the comparing further comprising:

transmitting, to a recipient device, a difference between the measured dose map and the planned dose map when the planned dose map corresponds to a sum of the plurality of segments.

3. The method of claim 1 , the converting comprising utilization of an effective field size calculator.

4. The method of claim 1 , the converting comprising utilization of a ray tracer algorithm.

5. The method of claim 2, the comparing further comprising at least one of: displaying, at an electronic display, a report comprising the difference; and generating, at an electronic device, a warning based on the difference.

6. The method of claim 1 , the converting comprising:

accessing, from at least one database, a measurement of an output of the treatment beam, the patient image data, and a physical configuration of the radiation therapy system;

generating a conversion factor based on the accessed measurement, the patient image data, and the physical configuration corresponding to a segment; and

applying the conversion factor to the measured segment responses to generate the measured segment doses.

7. The method of claim 1 , wherein the patient image data comprises three-dimensional images of patient anatomy.

8. The method of claim 1 , wherein each of the plurality of segments correspond to a time window where the delivery of dose to a portion of a patient anatomy is substantially constant.

9. The method of claim 1 , the converting comprising:

executing a neural network to generate the predicted integrated image by weighting a predicted segment response contribution as part of an input layer of the neural network.

10. The method of claim 1 , wherein the comparison of measured segment doses to the desired doses comprises the comparison of a first sum of the measured segment doses to a second sum of the desired doses.

11. The method of claim 1 , further comprising:

generating an electronic warning at a display device when the comparison of a first sum of measured segment doses to a second sum of the desired doses is outside of a predetermined dose limit.

12. The method of claim 1 , the determining of the measured segment responses comprising:

extracting a predicted response contribution based on the predicted segment image data and the predicted integrated image; and

generating the measured segment response from the predicted response contribution and the transit data.

13. A computer program product comprising a non-transitory, machine-readable medium storing instructions which, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

acquiring treatment plan information from a radiation therapy system;

acquiring patient image data;

acquiring transit image data received from an electronic portal imaging device during radiation therapy;

dividing the treatment plan information into a plurality of segments;

determining predicted segment image data utilizing a predicted image calculation algorithm and at least the patient image data, and the treatment plan information;

determining a predicted integrated image through superposition of the predicted segment image data;

determining measured segment responses from the transit image data utilizing the predicted segment image data and the predicted integrated image;

converting the measured segment responses to measured segment doses; and comparing measured segment doses to desired doses to assess radiation treatment delivery.

14. A system comprising:

a radiation therapy system comprising:

an electronic portal imaging device; and

a radiation source configured to generate a treatment beam that intersects the electronic portal imaging device;

at least one programmable processor; and

a non-transitory machine-readable medium storing instructions which, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

acquiring treatment plan information from the radiation therapy system; acquiring patient image data;

acquiring transit image data received from the electronic portal imaging device during radiation therapy;

dividing the treatment plan information into a plurality of segments; determining predicted segment image data utilizing a predicted image calculation algorithm and at least the patient image data, and the treatment plan information;

determining a predicted integrated image through superposition of the predicted segment image data;

determining measured segment responses from the transit image data utilizing the predicted segment image data and the predicted integrated image; converting the measured segment responses to measured segment doses; and

comparing measured segment doses to desired doses to assess radiation treatment delivery.

15. A method comprising:

generating, at a server, a composite calibration image by operations comprising: applying a first weight to a first calibration image from an electronic portal imaging device to generate a weighted first calibration image;

applying a second weight to a second calibration image from the electronic portal imaging device to generate a weighted second calibration image; and

superimposing the weighted first calibration image and the weighted second calibration image to generate the composite calibration image;

generating, by a dose calculation engine, a composite dose map based on a first dose map, a second dose map, the first weight, and the second weight;

generating, at the server, at least one conversion factor that converts images to dose maps, where the at least one conversion factor corresponds to a first radiation therapy system configuration that is different than a second radiation therapy system configuration corresponding to at least one of the first calibration image or the second calibration image; storing the at least one conversion factor in a multidimensional conversion structure; and

transmitting, from the server to a requesting device, the at least one conversion factor generated from the composite dose map and the composite calibration image.

16. The method of claim 15, wherein the at least one conversion factor in the multidimensional conversion structure is based on the composite calibration image and the composite dose map, and

wherein the at least one conversion factor is generated by the superposition of more than two calibration images and more than two dose maps.

17. The method of claim 15, wherein the conversion factors in the

multidimensional conversion structure are based on a plurality of basis parameters comprising at least one of an effective field size, a radiological path length, an exit distance, a pixel position, and a primary signal ratio.

18. The method of claim 15, the method further comprising populating the multidimensional conversion structure with additional conversion factors corresponding to a range of primary signal ratios.

19. The method of claim 18, wherein the first weight is a primary radiation fraction, the second weight is a secondary radiation fraction, and the primary signal ratio is based on the primary radiation fraction and the secondary radiation fraction.

20. The method of claim 15, further comprising generating the composite dose map by operations comprising:

generating a first dose map based on the first calibration image and a first conversion factor in the multidimensional conversion structure;

generating a second dose map based on the second calibration image and a second conversion factor in the multidimensional conversion structure; and superimposing the first dose map, weighted by the first weight, and the second dose map, weighted by the second weight, to generate the composite dose map.