SINGLE SHOT HIGH RESOLUTION CONJUNCTIVAL SMALL VESSEL PERFUSION METHOD FOR EVALUATING MICROVASCULATURE IN SYSTEMIC AND OCULAR VASCULAR DISEASES

• US 20140358011A1
• Filed: 05/28/2014
• Published: 12/04/2014
• Est. Priority Date: 05/29/2013
• Status: Abandoned Application

• Current Assignee: University of Miami
• Original Assignee: University of Miami
• Inventors: JIANG, Hong, DeBUC, Delia, WANG, Jianhua
• Application Number:
  US14/288,774
• Publication Number:
  US 20140358011A1
• Time in Patent Office: Days
• US Class Current: 600/476
• CPC Class Codes: A61B 3/12 for looking at the eye fundus, e.g. ophthalmoscopes A61B3/13 takes precedence
• CPC Class Codes: A61B 3/145 by video means
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/10056 Microscopic image
• CPC Class Codes: G06T 2207/20044 Skeletonization; Medial axis transform
• CPC Class Codes: G06T 2207/30041 Eye; Retina; Ophthalmic
• CPC Class Codes: G06T 2207/30104 Vascular flow; Blood flow; Perfusion
• CPC Class Codes: G06T 5/30 Erosion or dilatation, e.g. thinning
• CPC Class Codes: G06T 5/73 Deblurring; Sharpening
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

A system and method for generating high-resolution, small vessel perfusion maps (nCPMs) of the ocular conjunctival microvasculature. Unlike current systems and methods, the present invention allows for the generation of nCPMs using only a single raw image obtained in a single image acquisition step. The method includes obtaining a single raw image of at least a portion of the microvasculature of the ocular conjunctiva. The raw image may be obtained using a digital camera and slit lamp. The red and blue color channels are removed from the raw image to create a color-adjusted image in which contrast between the microvasculature and the sclera is enhanced. The color-adjusted image is then inverted and saved as a grayscale inverted image. The grayscale inverted image may be skeletonized. The grayscale image and/or the skeletonized image may be quantitatively analyzed.

Claims

1. A method for generating a small vessel perfusion map of an ocular conjunctiva, the method comprising:

obtaining a single raw image of at least a portion of microvasculature of the ocular conjunctiva, the raw image including at least a red color channel, a blue color channel, and a green color channel;

removing the red color channel and the blue color channel from the raw image to create a color-adjusted image of the microvasculature; and

inverting the color-adjusted image to create a grayscale inverted image of the microvasculature.

2. The method of claim 1, further comprising skeletonizing the grayscale inverted image of the microvasculature to create a skeletonized image of the microvasculature.

3. The method of claim 2, wherein the microvasculature includes a plurality of vessels, and skeletonizing the grayscale inverted image comprises digitally reducing anatomical boundaries of one or more of the plurality of vessels to one or more linear shapes, each linear shape having a uniform diameter.

4. The method of claim 1, wherein the grayscale inverted image of the microvasculature is cropped to include a region of interest.

5. The method of claim 4, wherein the region of interest is skeletonized and the microvasculature in the skeletonized image is evaluated using fractal analysis.

6. The method of claim 5, wherein the fractal analysis is multifractal analysis.

7. The method of claim 1, wherein at least one of the grayscale inverted image and the skeletonized image is quantitatively analyzed.

8. The method of claim 7, wherein microvascular density is evaluated using at least one of the grayscale inverted image and the skeletonized image.

9. The method of claim 1, further comprising:

determining a threshold value for at least one of conjunctival artery diameter and conjunctival vein diameter;

determining from at least one of the grayscale inverted image and the skeletonized image an average value for at least one of conjunctival artery diameter and conjunctival vein diameter; and

comparing the at least one threshold value to the at least one average value.

10. The method of claim 9, further comprising:

determining the presence of a medical condition based at least in part on the comparison.

11. The method of claim 10, wherein the medical condition is at least one of cerebral small vessel disease, dry eye, chronic inflammation, multiple sclerosis, ocular stress, and hypoperfusion.

12. The method of claim 10, wherein the medical condition is at least one of allergies, ocular tumors, corneal transplant rejection, glaucoma, hypertension, diabetes, vascular dementia, Parkinson'"'"'s disease, and Alzheimer'"'"'s disease.

13. The method of claim 9, wherein a response of the ocular conjunctiva to at least one of contact lens wear and the use of an ophthalmic solution is evaluated based at least in part on the comparison.

14. The method of claim 1, wherein the raw image is obtained using a slit lamp or fundus camera.

15. The method of claim 1, wherein the red color channel and the blue color channel are removed using image processing software.

16. A method of evaluating microvasculature of an eye, the method comprising:

obtaining a single raw image of at least a portion of microvasculature of the ocular conjunctiva, the image including at least a red color channel, a blue color channel, and a green color channel;

removing the red color channel and the blue color channel from the raw image to create a color-adjusted image of the microvasculature;

inverting the color-adjusted image to create a grayscale inverted image of the microvasculature; and

skeletonizing the grayscale inverted image of the microvasculature to create a skeletonized image of the microvasculature, the microvasculature including a plurality of vessels, and skeletonizing the grayscale inverted image including digitally reducing one or more of the plurality of vessels to one or more linear shapes, each linear shape having a uniform diameter.

17. A system for generating a small vessel perfusion map of an ocular conjunctiva, the system comprising:

a slit lamp; and

a computer in electrical communication with the slit lamp, the computer including one or more processors programmed to;

obtain a single raw image of at least a portion of microvasculature of the ocular conjunctiva from the slit lamp, the raw image including at least a red color channel, a blue color channel, and a green color channel;

remove the red color channel and the blue color channel to create a grayscale image of the microvasculature;

invert the grayscale image; and

calculate at least one conjunctival microvasculature characteristic.

18. The system of claim 17, wherein the microvasculature includes a plurality of vessels, and the one or more processors are further programmed to:

skeletonize the grayscale inverted image to create a skeletonized image; and

perform a fractal analysis on the skeletonized image.

19. The system of claim 17, wherein the at least one conjunctival microvasculature characteristic is selected from the group consisting of:

average conjunctival vein diameter and average conjunctival artery diameter.

20. The system of claim 17, wherein the one or more processors are further programmed to:

determine a threshold value for at the least one conjunctival microvasculature characteristic;

compare the at least one threshold value to the at least one calculated microvasculature characteristic; and

determine the presence of a medical condition based at least in part on the comparison.