Radiation systems and methods using deformable image registration
A method includes obtaining a first image, obtaining a second image, determining a deformation field using the first and second images, and determining a transformation matrix using the deformation field. A computer product having a set of instruction, an execution of which causes a process to be performed, the process comprising determining a deformation field using first and second images, and determining a transformation matrix using the deformation field. A system includes a computer-readable medium for storing a first image and a second image, and a processor configured to determine a deformation field using the first and second images, and determine a transformation matrix using the deformation field.
1. A method, comprising:
obtaining a first image;
obtaining a second image;
determining a deformation field using the first and second images;
determining a transformation matrix using the deformation field; and
storing the transformation matrix;
wherein the transformation matrix is determined using a processor, and a number of degrees of freedom associated with the transformation matrix is less than a number of degrees of freedom associated with the deformation field.
2. The method of claim 1 , further comprising changing a relative position between at least a portion of a patient and a radiation source based on the transformation matrix.
3. The method of claim 2 , wherein the act of changing the relative position comprises positioning a patient support.
4. The method of claim 2 , wherein the act of changing the relative position comprises positioning a radiation source.
5. The method of claim 1 , further comprising adjusting a treatment plan using the transformation matrix.
6. The method of claim 5 , wherein the treatment plan comprises a radiation treatment plan.
7. The method of claim 1 , further comprising storing the transformation matrix in a computer-readable medium.
8. The method of claim 1 , wherein the transformation matrix comprises a vector.
9. The method of claim 8 , wherein the vector has a direction that represents a direction of travel by a control point in the first image in order to reach a location of the control point in the second image.
10. The method of claim 8 , wherein the vector has a magnitude that represents a distance between a control point in the first image and the control point in the second image.
11. The method of claim 1 , wherein the first image and the second image are images of a portion of the patient.
12. The method of claim 1 , wherein the first image comprises an image of another patient, and the second image comprises an image of the patient.
13. The method of claim 1 , wherein the transformation matrix includes information associated with a deformation of an object.
14. The method of claim 13 , wherein the transformation matrix also includes information associated with a translation and a rotation of the object.
15. A computer product having a set of instruction, an execution of which causes a process to be performed, the process comprising:
determining a deformation field using first and second images; and
determining a transformation matrix using the deformation field;
wherein a number of degrees of freedom associated with the transformation matrix is less than a number of degrees of freedom associated with the deformation field.
16. The computer product of claim 15 , wherein the process further comprises changing a relative position between at least a portion of a patient and a radiation source based on the transformation matrix.
17. The computer product of claim 15 , wherein the process further comprises adjusting a treatment plan using the transformation matrix.
18. The computer product of claim 15 , wherein the transformation matrix comprises a vector.
19. The computer product of claim 18 , wherein the vector has a direction that represents a direction of travel by a control point in the first image in order to reach a location of the control point in the second image.
20. The computer product of claim 18 , wherein the vector has a magnitude that represents a distance between a control point in the first image and the control point in the second image.
21. The computer product of claim 18 , wherein the transformation matrix includes information associated with a deformation of an object.
22. The computer product of claim 21 , wherein the transformation matrix also includes information associated with a translation and a rotation of the object.
23. A system, comprising:
a computer-readable medium for storing a first image and a second image; and
a processor configured to determine a deformation field using the first and second images, and determine a transformation matrix using the deformation field, wherein a number of degrees of freedom associated with the transformation matrix is less than a number of degrees of freedom associated with the deformation field.
24. The system of claim 23 , wherein the transformation matrix includes information associated with a deformation of an object.
25. The system of claim 24 , wherein the transformation matrix also includes information associated with a translation and a rotation of the object.
26. The method of claim 1 , wherein the transformation matrix comprises a two dimensional matrix.
27. The method of claim 1 , wherein the first image is obtained for a portion of a patient when the portion of the patient is stationary.
28. The computer product of claim 15 , wherein the transformation matrix comprises a two dimensional matrix.
29. The computer product of claim 15 , wherein the first image is obtained for a portion of a patient when the portion of the patient is stationary.
30. The system of claim 23 , wherein the transformation matrix comprises a two dimensional matrix.
31. The system of claim 23 , wherein the first image is obtained for a portion of a patient when the portion of the patient is stationary.