Medical image processing apparatus, medical image processing method, and medical image processing program
A medical image processing apparatus having a processor configured to detect at least four reference landmarks among the left eye, the right eye, the diencephalon, the fornix, the corpus callosum, the left hippocampus, and the right hippocampus from a brain image, performs first registration including registration by similarity transformation using reference landmarks between the brain image and a standard brain image, and perform second registration by nonlinear transformation between the brain image and the standard brain image after the first registration.
1. A medical image processing apparatus, comprising a processor configured to:
detect at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject;
perform first registration including registration by similarity transformation using the reference landmarks between the brain image and a standard brain image; and
perform second registration by nonlinear transformation between the brain image and the standard brain image after the first registration,
wherein the second registration by the nonlinear transformation is performed with a first registration result as an initial value,
wherein, after the registration by similarity transformation using the reference landmarks, the processor configured to perform additional registration between the entire brain image and the entire standard brain image as the first registration,
wherein the additional registration calculates an additional coefficient for matching the shape and size of the brain image with the shape and size of the standard brain image.
2. The medical image processing apparatus according to claim 1 ,
wherein the processor configured to detect the reference landmarks by performing template matching between the brain image and a template including the reference landmarks in the standard brain image.
3. The medical image processing apparatus according to claim 2 ,
wherein, after the registration by similarity transformation using the reference landmarks, the processor configured to perform additional registration between the entire brain image and the entire standard brain image as the first registration.
4. The medical image processing apparatus according to claim 1 ,
wherein the processor further configured to detect at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks, and
perform, as the first registration, further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
5. The medical image processing apparatus according to claim 2 ,
wherein the processor further configured to detect at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks, and
perform, as the first registration, further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
6. The medical image processing apparatus according to claim 1 ,
wherein the processor further configured to detect at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks, and
perform, as the first registration, further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
7. The medical image processing apparatus according to claim 3 ,
wherein the processor further configured to detect at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks, and
perform, as the first registration, further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
8. A medical image processing method, comprising:
detecting at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject;
performing first registration including registration by similarity transformation using the reference landmarks between the brain image and a standard brain image; and
performing second registration by nonlinear transformation between the brain image and the standard brain image after the first registration,
wherein the second registration by the nonlinear transformation is performed with a first registration result as an initial value,
wherein, after the registration by similarity transformation using the reference landmarks, additional registration between the entire brain image and the entire standard brain image is performed as the first registration,
wherein the additional registration calculates an additional coefficient for matching the shape and size of the brain image with the shape and size of the standard brain image.
9. The medical image processing method according to claim 8 ,
wherein the reference landmarks is detect by performing template matching between the brain image and a template including the reference landmarks in the standard brain image.
10. The medical image processing method according to claim 9 ,
wherein, after the registration by similarity transformation using the reference landmarks, additional registration between the entire brain image and the entire standard brain image is performed as the first registration.
11. The medical image processing method according to claim 8 ,
wherein at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks is detected and further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark is performed as the first registration, the reference landmarks and the local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
12. The medical image processing method according to claim 9 ,
wherein at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks is detected and further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark is performed as the first registration, the reference landmarks and the local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
13. The medical image processing method according to claim 8 ,
wherein at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks is detected and further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark is performed as the first registration, the reference landmarks and the local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
14. The medical image processing method according to claim 10 ,
wherein at least one local landmark from the brain image based on a result of the registration by similarity transformation using the reference landmarks is detected and further registration by similarity transformation between the detected reference landmarks and the detected local landmark, and reference landmarks and a local landmark is performed as the first registration, the reference landmarks and the local landmark corresponding to the detected reference landmarks and the detected local landmark included in the standard brain image.
15. A non-transitory computer readable medium for storing a medical image processing program causing a computer to execute a process comprising:
detecting at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject;
performing first registration including registration by similarity transformation using the reference landmarks between the brain image and a standard brain image; and
performing second registration by nonlinear transformation between the brain image and the standard brain image after the first registration,
wherein the second registration by the nonlinear transformation is performed with a first registration result as an initial value,
wherein, after the registration by similarity transformation using the reference landmarks, additional registration between the entire brain image and the entire standard brain image is performed as the first registration,
wherein the additional registration calculates an additional coefficient for matching the shape and size of the brain image with the shape and size of the standard brain image.