Radioablation treatment systems and methods
Systems and methods for cardiac radioablation treatment planning are disclosed. In some examples, a computing device receives a first signal identifying a first event within a first workspace from a second computing device. The computing device determines a first action to apply to a first image displayed within a second workspace based on the first signal. The computing device generates a second image based on applying the first action to the first image within the second workspace, and displays the second image within the second workspace. In some examples, the first workspace is a radiation oncologist workspace and the second workspace is an electrophysiologist workspace. In some examples, the first workspace is an electrophysiologist oncologist workspace and the second workspace is a radiation oncologist workspace.
1. A computer-implemented method comprising:
receiving, from a computing device, a first signal identifying a first event initiated at a first location of the computing device in response to a display of a first type of image, the first event comprising a selection of a portion of the first type of image;
determining a first action to apply to a first portion of a second type of image displayed at a second location based on the first signal, wherein the first portion of the second type of image corresponds to the portion of the first type of image;
adjusting the second type of image based on applying the first action to the second type of image at the second location;
displaying the adjusted second type of image at the second location;
receiving adjustment data characterizing a selection of a second portion of the second type of image; and
transmitting the adjustment data to the computing device, the adjustment data causing the computing device to adjust the first type of image.
2. The computer-implemented method of claim 1 wherein the first location is a location of a radiation oncologist and the second location is a location of an electrophysiologist.
3. The computer-implemented method of claim 2 wherein the first event is an identification of a target region of an organ displayed in the first type of image.
4. The computer-implemented method of claim 3 wherein the first action comprises identifying the target region of the organ in the second type of image.
5. The computer-implemented method of claim 4 wherein the first action comprises highlighting a contour of the target region of the organ in the second type of image.
6. The computer-implemented method of claim 1 wherein the first location is a location of an electrophysiologist oncologist and the second location is a location of a radiation oncologist.
7. The computer-implemented method of claim 1 wherein:
the first event is a selection of at least one segment of a segment model; and
the first action is a determination of a corresponding portion of an organ displayed in the second type of image.
8. The computer-implemented method of claim 7 comprising executing an algorithm to determine the corresponding portion of the organ displayed in the second type of image.
9. The computer-implemented method of claim 8 wherein adjusting the second type of image comprises generating the corresponding portion of the organ in a first color different from remaining portions of the organ.
10. The computer-implemented method of claim 1 , comprising:
receiving image data from an imaging device;
generating a 3D image mesh based on applying an image based meshing algorithm to the image data;
generating isodose volume data based on applying a threshold to dose matrix data characterizing a does matrix associated with the image data;
generating an isodose 3D surface mesh based on the isodose volume data; and
generating the second type of image based on the 3D image mesh and the isodose 3D surface mesh.
11. A non-transitory computer readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
receiving, from a computing device, a first signal identifying a first event initiated at a first location of the computing device in response to a display of a first type of image, the first event comprising a selection of a portion of the first type of image;
determining a first action to apply to a first portion of a second type of image displayed at a second location based on the first signal, wherein the first portion of the second type of image corresponds to the portion of the first type of image;
adjusting the second type of image based on applying the first action to the second type of image at the second location;
displaying the adjusted second type of image at the second location;
receiving adjustment data characterizing a selection of a second portion of the second type of image; and
transmitting the adjustment data to the computing device, the adjustment data causing the computing device to adjust the first type of image.
12. The non-transitory computer readable medium of claim 11 wherein the first location is a radiation oncologist location and the second location is an electrophysiologist location.
13. The non-transitory computer readable medium of claim 11 wherein the first location is a location of an electrophysiologist oncologist and the second workspace is a location of a radiation oncologist.
14. A system comprising:
a first computing device configured to:
receive, from a second computing device, a first signal identifying a first event initiated at a first location of the computing device in response to a display of a first type of image, the first event comprising a selection of a portion of the first type of image;
determine a first action to apply to a first portion of a second type of image displayed at a second location based on the first signal, wherein the first portion of the second type of image corresponds to the portion of the first type of image;
adjust the second type of image based on applying the first action to the second type of image at the second location;
display the adjusted second type of image at the second location;
receive adjustment data characterizing a selection of a second portion of the second type of image; and
transmit the adjustment data to the computing device, the adjustment data causing the computing device to adjust the first type of image.
15. The system of claim 14 , wherein the first location is a location of a radiation oncologist and the second location is a location of an electrophysiologist.
16. The system of claim 15 , wherein:
the first event is an identification of a target region of an organ displayed in the first type of image; and
the first action comprises an identification of the target region of the organ in the second type of image.
17. The system of claim 16 , wherein;
the first action comprises highlighting a contour of the target region of the organ in the second type of image.
18. The system of claim 14 , wherein the first location is a location of an electrophysiologist oncologist workspace and the second location is a location of a radiation oncologist.
19. The system of claim 1 , wherein:
the first event is a selection of at least one segment of a segment model; and
the first action is a determination of a corresponding portion of an organ displayed in the second type of image.
20. The system of claim 19 , wherein the at least one processor is configured to execute an algorithm to determine the corresponding portion of the organ displayed in the second type of image, wherein adjust the second type of image comprises generating the corresponding portion of the organ in a first color different from remaining portions of the organ.