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:

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

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

a feature amount obtaining unit configured to obtain a 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;

a map generation unit configured to generate a feature amount map based on the feature amount of the retinal layer; and

a display control unit configured to display side by side a current image analysis result of a current plurality of tomographic images and a previous image analysis result of a previous plurality of tomographic images on a display screen, each of the current image analysis result including the current tomographic image, a current fundus image and a current feature amount map superimposed on the current fundus image and the previous image analysis result including the previous tomographic image, a previous fundus image and a previous feature amount map superimposed on the previous fundus image.

2. The image processing system according to claim 1 , wherein the feature amount map is at least one of a thickness map indicating thicknesses and a curvature map indicating curvatures calculated at respective parts on the detected retinal layer in the tomographic image.

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

an analysis unit configured to obtain, as the current image analysis result, a shape analysis information with reference to the feature amount of the retinal layer selected by the selecting unit.

4. The image processing system according to claim 1 , further comprising a plurality of imaging modes including an imaging mode for myopia analysis,

wherein the feature amount obtaining unit obtains the 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.

5. The image processing system according to claim 1 , further comprising a database configured to hold the tomographic images and a plurality of feature amounts of retinal layers,

wherein the units further include a search unit configured to search the database for the tomographic images so as to obtain the previous image analysis result.

6. The image processing system according to claim 1 , wherein the units further include an alignment unit configured to align the fundus image and the feature amount map, and

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

7. The image processing system according to claim 1 , further comprising a SLO (Scanning Laser Ophthalmoscope), wherein the fundus image is an SLO image captured by the SLO.

8. The image processing system according to claim 1 , wherein the display control unit further displays an analysis graph indicating the current image analysis result of an eye to be examined.

9. The image processing system according to claim 1 , wherein the display control unit further displays diagnosis information indicating the previous image analysis result of an eye to be examined.

10. An image processing method comprising:

obtaining a fundus image captured by a fundus imaging device and a plurality of tomographic images captured by an tomographic imaging apparatus;

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

obtaining a 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;

generating a feature amount map based on the feature amount of the retinal layer; and

displaying side by side a current image analysis result of a current plurality of tomographic images and a previous image analysis result of a previous plurality of tomographic images on a display screen, the current image analysis result including the current tomographic image, a current fundus image and a current feature amount map superimposed on the current fundus image and the previous image analysis result including the previous tomographic image, a previous fundus image and a previous feature amount map superimposed on the previous fundus image.

11. The image processing method according to claim 10 , wherein the feature amount map is at least one of a thickness map indicating thicknesses and a curvature map indicating curvatures calculated at respective parts on the detected retinal layer in the tomographic image.

12. The image processing method according to claim 10 , further comprising searching a database for the tomographic images so as to obtain the previous image analysis result,

wherein the database holds the tomographic images and a plurality of feature amounts of retinal layers.