Methods and apparatus for determining radioablation treatment
Systems and methods for cardiac radioablation treatment planning are disclosed. In some examples, a computing device receives an image volume and a dose matrix data. The computing device generates a first mesh of organ substructures for the organ based on substructure contours for the organ. Further, the computing device generates a second mesh of an isodose volume based on the dose matrix data. The computing device displays the first mesh of the organ substructures and the second mesh of the isodose volume within a same scene. In some examples, the computing device samples a plurality of dosage values, determines representative dosage values for each of a plurality of points along surfaces of a dose matrix, and generates an image for display based on the representative dosage values. In some examples, a segmentation model is generated for display based on the representative dosage values.
1. A computer-implemented method comprising:
receiving substructure data identifying substructure contours of an organ, and dose matrix data;
generating a first mesh of organ substructures for the organ based on the substructure data;
obtaining a dose threshold value;
generating a second mesh of an isodose volume based on filtering the dose matrix data based on the dose threshold value; and
displaying the first mesh of the organ substructures and the second mesh of the isodose volume within a same scene.
2. The computer-implemented method of claim 1 wherein generating the first mesh of organ substructures comprises:
generating a voxelized volume of the substructure contours; and
executing an image based meshing algorithm that operates on the voxelized volume of the substructure contours.
3. The computer-implemented method of claim 1 wherein generating the second mesh of the isodose volume comprises executing an image based meshing algorithm that operates on the filtered dose matrix data.
4. The computer-implemented method of claim 1 wherein the organ is a heart.
5. The computer-implemented method of claim 1 wherein generating the second mesh of the isodose volume comprises associating a plurality of dose value ranges with a unique identifier; and determining the unique identifier for each of a plurality of surface points of the second mesh based on the plurality of dose value ranges.
6. The computer-implemented method of claim 5 wherein determining the unique identifier for each of the plurality of surface points of the second mesh comprises:
determining each of a plurality of dosage values along a tangential line to each of the plurality of surface points;
determining a representative dosage value for each of the plurality of surface points based on the corresponding plurality of dosage values; and
determining the unique identifier for each of the plurality of surface points based on the corresponding representative dosage value.
7. The computer-implemented method of claim 6 comprising:
mapping the unique identifier for each of the plurality of surface points to a segmentation model;
generating an image of the segmentation model based on the mapped unique identifiers; and
displaying the image of the segmentation model.
8. The computer-implemented method of claim 7 wherein generating the image of the segmentation model comprises applying a color wash to the segmentation model based on the mapped unique identifiers.
9. The computer-implemented method of claim 5 wherein the unique identifier is a color.
10. 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 substructure data identifying substructure contours for an organ, and dose matrix data;
generating a first mesh of organ substructures for the organ based on the substructure data;
obtaining a dose threshold value;
generating a second mesh of an isodose volume based on filtering the dose matrix data based on the dose threshold value; and
displaying the first mesh of the organ substructures and the second mesh of the isodose volume within a same scene.
11. The non-transitory computer readable medium of claim 10 wherein generating the first mesh of organ substructures comprises:
generating a voxelized volume of the substructure contours; and
executing an image based meshing algorithm that operates on the voxelized volume of the substructure contours.
12. The non-transitory computer readable medium of claim 10 wherein generating the second mesh of the isodose volume comprises associating a plurality of dose value ranges with a unique identifier; and determining the unique identifier for each of a plurality of surface points of the second mesh based on the plurality of dose value ranges.
13. The non-transitory computer readable medium of claim 12 wherein determining the unique identifier for each of the plurality of surface points of the second mesh comprises:
determining each of a plurality of dosage values along a tangential line to each of the plurality of surface points;
determining a representative dosage value for each of the plurality of surface points based on the corresponding plurality of dosage values; and
determining the unique identifier for each of the plurality of surface points based on the corresponding representative dosage value.
14. The non-transitory computer readable medium of claim 13 wherein the operations further comprise:
mapping the unique identifier for each of the plurality of surface points to a segmentation model;
generating an image of the segmentation model based on the mapped unique identifiers; and
displaying the image of the segmentation model.
15. A system comprising:
a computing device configured to:
receive-substructure data identifying substructure contours for an organ, and dose matrix data;
generate a first mesh of organ substructures for the organ based on the substructure data;
obtain a dose threshold value;
generate a second mesh of an isodose volume based on filtering the dose matrix data based on the dose threshold value; and
display the first mesh of the organ substructures and the second mesh of the isodose volume within a same scene.
16. The system of claim 15 , wherein to generate the first mesh of organ substructures, the computing device is configured to:
generate a voxelized volume of the substructure contours; and
execute an image based meshing algorithm that operates on the voxelized volume of the substructure contours.
17. The system of claim 15 , wherein to generate the second mesh of the isodose volume, the computing device is configured to associate a plurality of dose value ranges with a unique identifier; and determine the unique identifier for each of a plurality of surface points of the second mesh based on the plurality of dose value ranges.
18. The system of claim 17 , wherein to determine the unique identifier for each of the plurality of surface points of the second mesh, the computing device is configured to:
determine each of a plurality of dosage values along a tangential line to each of the plurality of surface points;
determine a representative dosage value for each of the plurality of surface points based on the corresponding plurality of dosage values; and
determine the unique identifier for each of the plurality of surface points based on the corresponding representative dosage value.
19. The system of claim 18 , wherein the computing device is configured to:
map the unique identifier for each of the plurality of surface points to a segmentation model;
generate an image of the segmentation model based on the mapped unique identifiers; and
display the image of the segmentation model.
20. The system of claim 15 , wherein to generate the second mesh of the isodose volume, the computing device is configured to execute an image based meshing algorithm that operates on the filtered dose matrix data.