Image processing apparatus and image processing method

• US 9,307,903 B2
• Filed: 02/26/2014
• Issued: 04/12/2016
• Est. Priority Date: 02/28/2013
• Status: Active Grant

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Imamura, Hiroshi
• Primary Examiner(s): HASAN, MOHAMMED A
• Application Number:
  US14/190,475
• Publication Number:
  US 20140240669A1
• Time in Patent Office: 776 Days
• Field of Search: 351200-246
• US Class Current: 1/1
• CPC Class Codes: A61B 3/0025 characterised by electronic signal processing, e.g. eye models
• CPC Class Codes: A61B 3/1241 specially adapted for observation of ocular blood flow, e.g. by fluorescein angiography

Abstract

An image processing apparatus obtains a plurality of moving images of a predetermined site of an eye, specifies a vascular region by using at least one moving image of the plurality of moving images, and measures the sizes of blood cell aggregates in a specific vascular branch in the specified vascular region for each moving image of the plurality of moving images.

Claims

1. An image processing apparatus comprising:

an image obtaining unit configured to obtain a plurality of moving images of a predetermined site in an eye area;

a specifying unit configured to specify a vascular region by using at least one moving image of the plurality of moving images; and

a measuring unit configured to measure a blood cell aggregate size in a specific vascular branch in the specified vascular region in each moving image of the plurality of moving images.

2. The apparatus according to claim 1, wherein the measuring unit measures a change over time in measured values based on the blood cell aggregate size in each of the plurality of moving images.

3. The apparatus according to claim 2, further comprising:

a display control unit configured to display the change over time measured in the plurality of moving images by the measuring unit.

4. The apparatus according to claim 1, wherein the measuring unit outputs a plurality of measured values based on the blood cell aggregate size measured in the same phase range in a heartbeat or pulse wave data for each of the plurality of moving images.

5. The apparatus according to claim 4, further comprising:

a calculating unit configured to calculate a measured value reliability degree based on a statistical value for the plurality of measured values.

6. The apparatus according to claim 1, further comprising:

a measurement position determining unit configured to determine a measurement target vascular branch based on the vascular bifurcations in the vascular region specified by the specifying unit.

7. The apparatus according to claim 6, wherein the measurement position determining unit uses a region having detected vascular bifurcations at both ends in the vascular region as a vascular branch candidate and determines a measurement target vascular branch out of the vascular branch candidates based on the vascular length and diameter.

8. The apparatus according to claim 7, wherein the measurement position determining unit furthermore determines the measurement target vascular branch based on at least one of the difference between, and the variance in, luminance values over time in the moving images of the vascular branch candidates.

9. The apparatus according to claim 6, wherein the measurement position determining unit determines the measurement target vascular branch in the vascular region specified by the specifying unit for one moving image out of the plurality of moving images, and determines a measurement target vascular branch in another moving image based on the positional relationship between the one moving image and the other moving image.

10. The apparatus according to claim 1, wherein the image obtaining unit obtains the plurality of moving images by imaging the same area of the eye at different times.

11. An image processing method comprising:

an image obtaining step of obtaining a plurality of moving images of a predetermined site in an eye area;

a specifying step of specifying a vascular region using at least one moving image of the plurality of moving images; and

a measuring step of measuring a blood cell aggregate size in a specific vascular branch in the specified vascular region in each of the plurality of moving images.

12. The method according to claim 11, wherein in the measuring step, change over time in measured values based on the blood cell aggregate size in each of the plurality of moving images is measured.

13. The method according to claim 12, further comprising:

a display control step of displaying the change over time measured in the plurality of moving images by the measuring means.

14. The method according to claim 11, wherein in the measuring step, a plurality of measured values based on the blood cell aggregate size measured in the same phase range in a heartbeat or pulse wave data for each of the plurality of moving images are output.

15. The method according to claim 14, further comprising:

a calculating step of calculating a measured value reliability degree based on a statistical value for the plurality of measured values.

16. The method according to claim 11, further comprising:

a measurement position determining step of determining a measurement target vascular branch based on the vascular bifurcations in the vascular region specified in the specifying step.

17. The method according to claim 16, wherein in the measurement position determining step, a region having detected vascular bifurcations at both ends in the vascular region is used as a vascular branch candidate and a measurement target vascular branch is determined out of the vascular branch candidates based on the vascular length and diameter.

18. The method according to claim 17, wherein in the measurement position determining step, the measurement target vascular branch is furthermore determined based on at least one of the difference between, and the variance in, luminance values over time in the moving images of the vascular branch candidates.

19. The method according to claim 16, wherein in the measurement position determining step, the measurement target vascular branch is determined in the vascular region specified in the specifying step for one moving image out of the plurality of moving images, and a measurement target vascular branch in another moving image is determined based on the positional relationship between the one moving image and the other moving image.

20. The method according to claim 11, wherein, in the image obtaining step, the plurality of moving images are obtained by imaging the same area of the eye at different times are obtained.

21. A non-transitory computer readable storage medium storing a program for causing a computer to execute an image processing method, the method comprising:

an image obtaining step of obtaining a plurality of moving images of a predetermined site in an eye area;

a specifying step of specifying a vascular region using at least one moving image of the plurality of moving images; and

a measuring step of measuring a blood cell aggregate size in a specific vascular branch in the specified vascular region in each of the plurality of moving images.

22. An image processing apparatus comprising:

an image obtaining unit configured to obtain a moving image of an eye area;

a specifying unit configured to specify a vascular region by using the moving image; and

a determining unit configured to determine a vascular branch based on the vascular bifurcations in the specified vascular region.

23. The apparatus according to claim 22, further comprising:

a measuring unit configured to measure a blood cell aggregate size in the determined vascular branch in the moving image.

24. The apparatus according to claim 22, wherein the determining unit uses a region having detected vascular bifurcations at both ends in the vascular region as a vascular branch candidate and determines the vascular branch out of the vascular branch candidates based on the vascular length and diameter.

25. The apparatus according to claim 24, wherein the determining unit furthermore determines the vascular branch based on at least one of the difference between, and the variance in, luminance values over time in the moving image of the vascular branch candidates.

26. The apparatus according to claim 22, wherein the determining unit determines the vascular branch in the vascular region specified by the specifying unit for one moving image out of a plurality of moving images, and determines a vascular branch in another moving image based on the positional relationship between the one moving image and the other moving image.

27. The apparatus according to claim 26, wherein the image obtaining unit obtains the moving image by imaging the same area of the eye at different times.

28. An image processing method comprising:

an image obtaining step of obtaining a moving image of an eye area;

a specifying step of specifying a vascular region using the moving image; and

a determining step of determining a vascular branch based on the vascular bifurcations in the specified vascular region.

29. The method according to claim 28, further comprising:

a measuring step of measuring a blood cell aggregate size in the determined vascular branch in the moving image.

30. The method according to claim 28, wherein in the determining step, a region having detected vascular bifurcations at both ends in the vascular region is used as a vascular branch candidate and the vascular branch is determined out of the vascular branch candidates based on the vascular length and diameter.

31. The method according to claim 30, wherein in the measurement position determining step, the measurement target vascular branch is furthermore determined based on at least one of the difference between, and the variance in, luminance values over time in the moving image of the vascular branch candidates.

32. The method according to claim 28, wherein in the determining step, the vascular branch is determined in the vascular region specified in the specifying step for one moving image out of a plurality of moving images, and a vascular branch in another moving image is determined based on the positional relationship between the one moving image and the other moving image.

33. The method according to claim 32, wherein, in the image obtaining step, the moving image is obtained by imaging the same area of the eye at different times.

34. A non-transitory computer-readable storage medium storing a program for causing a computer to execute an image processing method, the method comprising:

an image obtaining step of obtaining a moving images of an eye area;

a specifying step of specifying a vascular region using the moving image; and

a determining step of determining a vascular branch based on the vascular bifurcations in the specified vascular region.