IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

• US 20140240669A1
• Filed: 02/26/2014
• Published: 08/28/2014
• Est. Priority Date: 02/28/2013
• Status: Active Grant

• Current Assignee: Canon Ayutthaya Limited (Canon Inc.)
• Original Assignee: Canon Ayutthaya Limited (Canon Inc.)
• Inventors: Imamura, Hiroshi
• Granted Patent: US 9,307,903 B2
• Time in Patent Office: Days
• US Class Current: 351/206
• 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 obtaining 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 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.

9. 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.

10. 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.

11. The method according to claim 10,

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.

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

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

13. The method according to claim 10,

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.

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

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

15. The method according to claim 10, 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.

16. The method according to claim 15,

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.

17. 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.

18. The method according to claim 16,

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. A non-transitory computer readable storage medium storing a program for causing a computer to execute the method according to claim 10.