Image processing system, processing method, and storage medium

1. An image processing system comprising:

a memory that stores a program; and

a processor that executes the program stored in the memory so as to function as units including:

a detection unit configured to detect a retinal layer of a fundus retina in each of a plurality of tomographic images captured by a tomographic imaging apparatus;

an obtaining unit configured to obtain a shape feature amount of the retinal layer of the fundus retina based on the detected retinal layer of the each of the tomographic images, the shape feature amount being a plurality of curvatures calculated at respective parts on the detected retinal layer in the tomographic image; and

an analysis unit configured to obtain shape analysis information by comparing the shape feature amount of the retinal layer of the fundus retina with a database in which a plurality of shape feature amounts are stored, the plurality of shape feature amounts being classified based on ophthalmic axis length-dependent parameter.

2. The image processing system according to claim 1 , wherein the units further include a selecting unit configured to select the retinal layer for an analysis target layer, and

wherein the analysis unit obtains the shape analysis information with reference to the shape feature amount of the retinal layer selected by the selecting unit.

3. The image processing system according to claim 2 , wherein the units further include a display control unit configured to display a tomographic image and the retinal layer selected by the selecting unit in a discriminating state on the tomographic image.

4. The image processing system according to claim 3 , further comprising a generating unit configured to generate a curvature map by using the shape feature amount the retinal layer, and

wherein the display control unit displays the curvature map.

5. The image processing system according to claim 1 , wherein the image processing system further includes a plurality of imaging modes including an imaging mode for myopia analysis, and

wherein the obtaining unit obtains the shape feature amount of the plurality of tomographic images in a case where the imaging mode is the imaging mode for myopia analysis when the plurality of tomographic images are captured.

6. An image processing system comprising;

a memory that stores a program; and

a processor that executes the program stored in the memory so as to function as units including:

an obtaining unit configured to obtain a plurality of tomographic images captured by a tomographic imaging apparatus;

a detecting unit configured to detect a retinal layer of a fundus retina in each of the plurality of tomographic images; and

an analysis unit configured to obtain a shape feature amount of a fundus retina by processing the plurality of tomographic images,

wherein the shape feature amount of the retinal layer is a plurality of signed curvature values calculated a respective parts on the detected retinal layer in the tomographic image, and

wherein each of the plurality of signed curvature values reveals that a partial shape of the retinal layer is upward or downward concave.

7. The image processing system according to claim 6 , wherein the units further include:

a generating unit configured to generate a curvature map based on the plurality of signed curvature values; and

a display control unit configured to display the curvature map.

8. The image processing system according to claim 7 , wherein the units further include:

a fundus image capturing unit configured to capture a fundus image of the fundus; and

an alignment unit configured to align the fundus image and the curvature map,

wherein the display control unit is configured to display the curvature map superimposed on the fundus image based on a result of alignment by the alignment unit.

9. The image processing system according to claim 7 , wherein the units further include a database configured to hold a plurality of feature amounts obtained from a plurality of eyes to be examined.

10. An image processing method comprising:

detecting a retinal layer of a fundus retina in each of a plurality of tomographic images captured by a tomographic imaging apparatus;

obtaining a shape feature amount of the retinal layer of a fundus retina based on the detected retinal layer of the each of the plurality of tomographic images, the shape feature amount being a plurality of curvatures calculated at respective parts on the detected retinal layer in the tomographic image; and

obtaining shape analysis information by comparing the shape feature amount of the retinal layer of the fundus retina with a database in which a plurality of feature amounts are stored, the plurality of feature amounts being classified based on ophthalmic axis length-dependent parameter.

11. An image processing method comprising:

obtaining a plurality of tomographic images captured by a tomographic imaging apparatus;

detecting a retinal layer of a fundus retina in each of the plurality of tomographic images; and

obtaining a shape feature amount of a fundus retina by processing the plurality of tomographic images,

wherein the shape feature amount of the retinal layer is a plurality of signed curvature values calculated respective parts on the detected retinal layer in the tomographic image,

wherein each of the plurality of signed curvature values reveals a partial shape of the retinal layer is upward or downward concave.

12. A computer-readable storage medium storing a program which causes a computer to realize respective units of an image processing system, wherein the image processing system comprises:

a detection unit configured to detect a retinal layer of a fundus retina in each of a plurality of tomographic images captured by a tomographic imaging apparatus;

an obtaining unit configured to obtain a shape feature amount of the retinal layer of the fundus retina based on the detected retinal layer of the each of the plurality of tomographic images, the shape feature amount being a plurality of curvatures calculated at respective parts on the detected retinal layer in the tomographic image; and

an analysis unit configured to obtain shape analysis information by comparing the shape feature amount of the retinal layer of the fundus retina with a database in which a plurality of feature amounts are stored, the plurality of feature amounts being classified based on ophthalmic axis length-dependent parameter.

13. A computer-readable storage medium storing a program which causes a computer to realize respective units of an image processing system, wherein the image processing system comprises:

an obtaining unit configured to obtain a plurality of tomographic images captured by a tomographic imaging apparatus;

a detecting unit configured to detect a retinal layer of a fundus retina in each of the plurality of tomographic images; and

an analysis unit configured to obtain a shape feature amount of a fundus retina by processing the plurality of tomographic images,

wherein the shape feature amount of the retinal layer is a plurality of signed curvature values calculated at respective parts on the detected retinal layer in the tomographic image, and

wherein each of the plurality of signed curvature values reveals that a partial shape of the retinal layer is upward or downward concave.