Image registration of treatment planning image, intrafraction 3D image, and intrafraction 2D x-ray image
A method of the present disclosure includes performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient. The method further includes performing, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the reference image of the patient. The method further includes tracking at least a translational change in the target position based on the first registration and the second registration.
1. A method, comprising:
performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient;
performing, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient; and
tracking at least a translational change in the target position based on the first registration and the second registration.
2. The method of claim 1 , wherein the reference image and the motion image are three-dimensional (3D) images.
3. The method of claim 2 , wherein the reference image is a 3D planning image.
4. The method of claim 2 , wherein the reference image is one of: a kilovoltage computed tomography (kV-CT) image, a magnetic resonance imaging (MRI) image, a kilovoltage cone beam computed tomography (kV-CBCT) image, or a megavoltage computed tomography (MVCT) image.
5. The method of claim 2 , wherein the motion image is one of: a kilovoltage cone beam computed tomography (kV-CBCT) image, a megavoltage cone beam computed tomography (MV-CBCT) image, a megavoltage computed tomography (MVCT) image, or a helical kV-CT image.
6. The method of claim 1 , wherein the first image registration is used to perform a global rotational patient alignment, and wherein the second image registration is used to maintain the global rotational patient alignment.
7. The method of claim 1 , wherein the reference image, the motion image, and the motion x-ray image are generated by an imaging source of a helical radiation delivery system or by one or more imaging sources at different positions with respect to the patient.
8. The method of claim 1 , further comprising:
detecting a fiducial migration associated with the patient based on the reference image; and
modifying a tracking algorithm associated with a treatment delivery of the patient to account for the fiducial migration.
9. A non-transitory computer readable medium comprising instructions that, when executed by a processing device, cause the processing device to:
perform, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient;
perform, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient; and
track at least a translational change in the target position based on the first registration and the second registration.
10. The non-transitory computer readable medium of claim 9 , wherein the reference image, the motion image, and the motion x-ray image are generated by an imaging source of a helical radiation delivery system or by one or more imaging sources at different positions with respect to the patient.
11. The non-transitory computer readable medium of claim 9 , the processing device further to:
detect a fiducial migration associated with the patient based on the first image registration; and
modify a tracking algorithm associated with a treatment delivery of the patient to account for the fiducial migration.
12. A method, comprising:
performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient, to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient;
performing, by the processing device, a second image registration between the motion image and a motion x-ray image of the patient; and
tracking at least one of a translational change, a rotation change, and a deformation change in the target position based on the first registration and the second registration.
13. The method of claim 12 , wherein the motion image has a higher spatial resolution than the reference image.
14. The method of claim 12 , wherein the reference image is one of: a kilovoltage computed tomography (kV-CT) image, a magnetic resonance imaging (MRI) image, a kilovoltage cone beam computed tomography (kV-CBCT) image, or a megavoltage computed tomography (MVCT) image.
15. The method of claim 12 , wherein the motion image is one of: a kilovoltage cone beam computed tomography (kV-CBCT) image, a megavoltage cone beam computed tomography (MV-CBCT) image, a megavoltage computed tomography (MVCT) image, or a helical kV-CT image.
16. The method of claim 12 , further comprising:
detecting a fiducial migration associated with the patient; and
modifying a tracking algorithm associated with a treatment delivery of the patient to account for the fiducial migration.