FUNDUS INFORMATION PROCESSING APPARATUS AND FUNDUS INFORMATION PROCESSING METHOD

• US 20110103655A1
• Filed: 11/03/2009
• Published: 05/05/2011
• Est. Priority Date: 11/03/2009
• Status: Abandoned Application

• Current Assignee: Nidek Company Limited
• Original Assignee: Nidek Company Limited
• Inventors: Kobayashi, Masahiko, Hoshikawa, Yasuhiro, Young, Warren G.
• Application Number:
  US12/611,439
• Publication Number:
  US 20110103655A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 2200/32 involving image mosaicing
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/20221 Image fusion; Image merging
• CPC Class Codes: G06T 2207/30041 Eye; Retina; Ophthalmic
• CPC Class Codes: G06T 7/33 using feature-based methods

Abstract

The present inventions relates to a fundus imaging device integrated with a computer processing to comprise a fundus information processing apparatus and method for executing the same in order to produce a panoramic fundus image and to obtain blood vessel information of the fundus. The apparatus and method processes a first fundus image and a second fundus image acquired with a fundus imaging device. The fundus information processing apparatus and method extracts blood vessel shapes from the first and second fundus images, and identifies branching points of the blood vessel of the blood vessel shape through image processing. Further, a plurality of line segments are obtained by interconnecting two predetermined branching points and thereafter identification of two common line segments of the first and second fundus images. The apparatus and method determines relative positional relationship between the branching points constituting at least two of the line segments and thereafter performs comparison operation followed by an alignment operation. By the alignment a panoramic image of the plurality of fundus images is produced along with blood vessel information of the fundus.

Claims

1. A fundus information processing apparatus for processing a first fundus image and a second fundus image acquired with a fundus imaging device and acquiring at least one of a panoramic fundus image and fundus blood vessel information, the apparatus comprising:

a blood vessel extraction unit that extracts blood vessel shapes from the first and second fundus images, the unit extracting branching points of the blood vessel of the blood vessel shape through image processing;

a line segment information acquisition unit that acquires, in each of the first and second fundus images, information of a plurality of line segments obtained by interconnecting two predetermined branching points by using the plurality of branching points extracted by the blood vessel extraction unit;

a line segment identification unit that identifies at least two of the line segments common to the first and second fundus images by using the line segment information obtained by the line segment information acquisition unit;

a branching point information calculation unit that calculates, in each of the first and second fundus images, branching point information that indicates a relative positional relationship between the branching points constituting at least two of the line segments identified by the line segment identification unit;

a comparison operation unit that performs comparison operation on first branching point information of the first fundus image and second branching point information of the second fundus image which are calculated by the branching point information calculation unit; and

an alignment processing unit that performs alignment processing on the first and second fundus images based on a result of comparison by the comparison operation unit.

2. The fundus information processing apparatus according to claim 1, wherein the line segment information contains a length of the line segment and a formed angle.

3. The fundus information processing apparatus according to claim 1, wherein the branching point information calculation unit calculates information of a triangle formed by three branching points of the identified two line segments, in each of the first and second fundus images.

4. The fundus information processing apparatus according to claim 3, wherein the information of the triangle contains the respective lengths of two sides of the formed triangle and the angle formed by the two sides.

5. The fundus information processing apparatus according to claim 1, further comprising an overlapping unit that overlaps the first and second fundus images based on a result of the alignment by the alignment processing unit, thereby obtaining a panoramic fundus image.

6. The fundus information processing apparatus according to claim 1 further comprising a fundus blood vessel information calculation unit that calculates fundus blood vessel information which links the blood vessel shape of the first fundus image and the blood vessel shape of the second fundus image based on the result of the alignment by the alignment processing unit.

7. The fundus information processing apparatus according to claim 6, further comprising a blood vessel feature extraction unit that calculates any one of the number of blood vessel branches, the blood vessel branching shape, the length of the blood vessel between the branching points, and a width of the blood vessel from the fundus blood vessel information calculated by the fundus blood vessel information calculation unit.

8. The fundus information processing apparatus according to claim 1 to further comprising a boundary processing unit that, by using the alignment processing unit, sets up a boundary region at a location where the first and second fundus images overlap each other, performs comparison operation on the respective blood vessel shapes of the first and second fundus images, and aligns the first and second fundus images based on the result of the comparison operation.

9. The fundus information processing apparatus according to claim 1, further comprising a correction unit that corrects distortion in the first and second fundus images.

10. A fundus information processing method to process a first fundus image and a second fundus image acquired with a fundus imaging device to generate a panoramic fundus image and fundus blood vessel information comprising the following steps:

a blood vessel extraction step of extracting blood vessel shapes from the first and second fundus images, the step extracting branching points of the blood vessel of the blood vessel shape through image processing;

a line segment information acquisition step of acquiring, in each of the first and second fundus images, information of a plurality of line segments obtained by interconnecting two predetermined branching points by using the plurality of branching points extracted at the blood vessel extraction step;

a line segment identification step of identifying at least two of the line segments common to the first and second fundus images by using the line segment information obtained at the line segment information acquisition step;

a branching point information calculation step of calculating, in each of the first and second fundus images, branching point information that indicates a relative positional relationship between the branching points constituting at least two of the line segments identified at the line segment identification step;

a comparison operation step of performing comparison operation on first branching point information of the first fundus image and second branching point information of the second fundus image which are calculated at the branching point information calculation step; and

an alignment processing step of performing alignment processing on the first and second fundus images based on a result of the comparison operation at the comparison operation step.

11. A method of generating an image of biological tissue comprising:

generating a first image of a first region of tissue;

generating a second image a second region of tissue, wherein said second region includes at least a portion of the first region of tissue;

identifying blood vessels visible within the first and second images;

identifying the branch points of the identified blood vessels;

generating at least two line segments in said first and second images, said line segments representing an interconnection between branch points of identified blood vessels;

comparing line segments of said first and second images to identify at least two common line segments of said first and second images;

aligning the first and second images using the common line segments; and

generating a combined image.

12. The method of generating an image of biological tissue of claim 11 wherein said first and second steps of generating an image is completed using a digital camera to create digital images.

13. The method of generating an image of biological tissue of claim 11 wherein said first and second steps of generating first is completed using a fundus camera to create digital images.

14. The method of generating an image of biological tissue of claim 12 wherein said digital images are stored in a computer memory.

15. The method of generating an image of biological tissue of claim 14 wherein the step of identifying blood vessels within said first and second images is completed by extracting blood vessel shapes though image processing of the stored digital images.

16. The method of generating an image of biological tissue of claim 11 wherein the step of generating at least two line segments includes generation of information containing the length of the line and formed angle of the line.

17. The method of generating an image of biological tissue of claim 11 further comprising the step of calculating blood vessel branching point information to indicate relative positional relationship between branching points.

18. The method of generating an image of biological tissue of claim 17 wherein the calculating step uses information of a triangle formed by three branching points of at least two identified line segments.

19. The method of generating an image of biological tissue of claim 12 comprising the further step of image processing said digital images to remove image distortion.

20. The method of generating an image of biological tissue of claim 12 comprising the further step of image processing said digital images to remove image noise.

21. The method of generating an image of biological tissue of 11 further comprising the step of overlaying said first and second images with a grid to identify seed points of the image where blood vessels intersect the grid.

22. The method of generating an image of biological tissue of claim 21 further comprising the step of line scanning on a rotational axis about the seed point.

23. The method of generating an image of biological tissue of claim 22 wherein the line scanning distance is 10 pixels with the seed point as the center point of the line scan.