Image processor, image processing method, and treatment system
According to some embodiments, an image processor includes an image generator, a region acquirer, and a label applicator. The region acquirer acquires at least one two-dimensional region designated on at least one first perspective image generated from three-dimensional volume data of a target. The label applicator applies a label on at least one first three-dimensional region. The at least one first three-dimensional region is a part of a second three-dimensional region. The second three-dimensional region is defined by the at least one two-dimensional region, a point and a surface which is defined by a set of straight lines between the point and the boundary of the two-dimensional region. The first three-dimensional region is defined to be a first overlapping region where the three-dimensional volume data and the second three-dimensional region overlap.
1. An image processor, comprising:
one or more memories that store one or more software components; and
one or more processors configured to execute the one or more software components to perform at least:
acquiring at least one two-dimensional region designated on at least one first perspective image generated from three-dimensional volume data of a target; and
applying a label on at least one first three-dimensional region, wherein the at least one first three-dimensional region is a part of a second three-dimensional region, the second three-dimensional region is defined by the at least one two-dimensional region, a point and a surface which is defined by a set of straight line segments between the point and the boundary of the two-dimensional region, wherein
the first three-dimensional region is defined to be a first overlapping region where the three-dimensional volume data and the second three-dimensional region overlap each other, and
the at least one first perspective image is aligned with images acquired by capturing the target at a time different from a time at which the three-dimensional volume data of the target is obtained, based on the three-dimensional region with the label applied.
2. The processor as claimed in claim 1 , wherein the point is a viewpoint for perspective projection to generate the first perspective image.
3. The processor as claimed in claim 2 , wherein the at least one first perspective image includes a plurality of first perspective images, and the one or more processors are further configured to perform generating the plurality of first perspective images from the three-dimensional volume data using different viewpoints for perspective projection.
4. The processor as claimed in claim 3 , wherein the one or more processors are further configured to
perform generating a first one of the first perspective image, the first one including a perspective projection of the at least one first three-dimensional region, and
perform making the perspective projection from a first one of the viewpoints to generate the perspective projection on the first one of the first perspective image, the first one of the viewpoints is different from a second one of the viewpoints for a second one of the first perspective image on which the at least one two-dimensional region is designated.
5. The processor as claimed in claim 4 , further comprising:
a display device that displays the first one of the first perspective image.
6. The processor as claimed in claim 1 , wherein
the at least one two-dimensional region is a plurality of two-dimensional regions,
the one or more processors are further configured to perform calculating the first three-dimensional region for each of the plurality of two-dimensional regions, and applying the label on a second overlapping region where the first three-dimensional regions overlap each other.
7. The processor as claimed in claim 1 , wherein,
the one or more processors are further configured to perform applying the label on a set of voxels having voxel values in a range of voxel value, the set of voxels is in the first three-dimensional region.
8. The processor as claimed in claim 1 , wherein,
the at least one two-dimensional region includes plural sets of the two-dimensional regions,
the one or more processors are further configured to
perform calculating the first three-dimensional region for each two-dimensional region of the plural sets of the two-dimensional regions, and
perform applying a respective one of the labels on a second overlapping region where the first three-dimensional regions of each set of the two-dimensional regions overlap each other.
9. The processor as claimed in claim 8 , wherein
the respective one of the labels is a respectively different one of the labels.
10. The processor as claimed in claim 1 , wherein the one or more processors are further configured to perform
comparing the first perspective image with a second perspective image, the second perspective image being acquired with a radiographic imaging apparatus for capturing the target, and
generating the first perspective image from the three-dimensional volume data that includes the at least one first three-dimensional region.
11. The processor as claimed in claim 1 , wherein the one or more processors are further configured to perform
calculating a dose distribution for radiation treatment, based on the three-dimensional volume data.
12. The processor as claimed in claim 1 , wherein the one or more processors are futher configured to perform
generating a three-dimensional image of the at least one first three-dimensional region.
13. The processor according to claim 12 , further comprising:
a bed that includes a movable mount for the target; and
a treatment apparatus for irradiating the target with radiation,
wherein the control apparatus, based on the difference in position, controls the movable mount for irradiation to the target.
14. The processor as claimed in claim 1 , wherein the one or more processors are configured to further perform comparing the images with at least one third perspective image generated from the three-dimensional volume data including the three-dimensional region with the label applied, the one or more processors are configured to further perform aligning the at least one third perspective image with the images to calculate a difference in position of the target between when the three-dimensional volume data is acquired and when the images are acquired by capturing the target, the one or more processors are configured to further perform supplying the difference in position to a bed including a movable mount for the target to move the target.
15. An image processing method comprising:
acquiring, by a computer, at least one two-dimensional region designated on at least one first perspective image generated from three-dimensional volume data of a target; and
applying, by the computer, a label on at least one first three-dimensional region, wherein the at least one first three-dimensional region is a part of a second three-dimensional region, the second three-dimensional region is defined by the at least one two-dimensional region, a point and a surface which is defined by a set of straight line segments between the point and the boundary of the two-dimensional region, wherein
the first three-dimensional region is defined to be an overlapping region where the three-dimensional volume data and the second three-dimensional region overlap each other, and
the at least one first perspective image is aligned with images acquired by capturing the target at a time different from a time at which the three-dimensional volume data of the target is obtained, based on the three-dimensional region with the label applied.
16. A treatment system, comprising:
a radiographic imaging apparatus,
an image processor,
a planning apparatus that stores a three-dimensional volume data of a target and a treatment plan; and
a control apparatus,
wherein the image processor comprises:
one or more memories that store one or more software components:
one or more hardware processors configured to execute the one or more software components to perform at least:
acquiring at least one two-dimensional region designated on the at least one first perspective image generated from the three-dimensional volume data; and
applying a label on at least one first three-dimensional region, wherein the at least one first three-dimensional region is a part of a second three-dimensional region, the second three-dimensional region is defined by the at least one two-dimensional region, a point and a surface which is defined by a set of straight line segments between the point and the boundary of the two-dimensional region, wherein
the first three-dimensional region is defined to be an overlapping region where the three-dimensional volume data and the second three-dimensional region overlap each other,
the radiographic imaging apparatus captures at least one second perspective images of the target, and
the control apparatus generates at least one third perspective image from the three-dimensional volume data with the label applied, and the control apparatus performs an image comparison between the at least one second perspective image and the at least one third perspective image and, the control apparatus calculates a difference in position of the target between when the three-dimensional volume data, which is used for establishing the treatment plan, is generated by a device for computed tomography and when the at least one second perspective image is captured by the radiographic imaging apparatus.
17. The system according to claim 16 , further comprising:
a bed that includes a movable mount for the target; and
a treatment apparatus for irradiating the target with radiation,
wherein the control apparatus, based on the difference in position, controls the movable mount for irradiation to the target.