Calculating conjunctival redness

US9854970B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9854970-B2
Application numberUS-201313773310-A
CountryUS
Kind codeB2
Filing dateFeb 21, 2013
Priority dateFeb 21, 2012
Publication dateJan 2, 2018
Grant dateJan 2, 2018

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes determining for each of a plurality of pixels within the evaluation area, a plurality of color components that are based on a Cartesian color space, and determining, from the color components, a hue value in a polar coordinate based color space. The method further includes determining a color value based on the hue value for each of the plurality of pixels, and assigning a color score to the evaluation area based on an average of the color values of the plurality of pixels.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer implemented method for evaluating a condition of an ocular surface based on a color of the ocular surface, the method comprising: obtaining a digital image of at least a portion of the ocular surface; receiving a selection of a portion of the image as an evaluation area; for each of a plurality of pixels within the evaluation area: determining a plurality of color components that are based on a Cartesian color space, determining, from the color components, a hue value in a polar coordinate based hue-saturation-value (HSV) color space, selecting an angle range in accordance with a color associated with the ocular condition being evaluated, determining that the hue value lies within the angle range that represents the color associated with the condition being evaluated in a hue circle representation of the HSV color space, mapping the hue value to a scalar value within a predetermined range, in response to determining that the hue value lies within the angle range, selecting a function of one or both of the saturation and value components of the HSV color space, wherein the function is selected based on the condition being evaluated, and determining a color value as a product of the scalar value and the function of one or both of the saturation and value components of the HSV color space; and generating a color score for the evaluation area based on an average of the color values of the plurality of pixels, wherein the color score of the ocular surface relates to a quantitative evaluation of the condition of the ocular surface. 2. The method of claim 1 , wherein the digital image further comprises an area of reference white color. 3. The method of claim 2 , further comprising receiving a selection of at least a portion of the reference white color; determining an average gain associated with the portion of the reference white color; and applying the average gain to each of the plurality of pixels within the evaluation area. 4. The method of claim 1 wherein a parabolic curve is used in mapping the hue value to the scalar value within the predetermined range. 5. The method of claim 1 , wherein the selection of the evaluation area is received through a graphical user interface in which the digital image is presented. 6. The method of claim 5 , wherein the selection of the evaluation area is received as a polygonal area of the digital image selected through the graphical user interface. 7. The method of claim 1 , wherein the ocular surface comprises conjunctiva. 8. The method of claim 1 , wherein the Cartesian color space is an RGB color space. 9. The method of claim 1 , further comprising storing the color score and an association of the color score with the digital image. 10. The method of claim 1 , wherein the digital images are related to one or more of corneal neovascularization, fluorescein stained epithelial punctate keratitis and epithelial defects, eyelid and skin telangiectasia, and conjunctival/scleral pigmented lesions. 11. The method of claim 1 , wherein the angle range is determined based on whether the condition is a conjunctival condition or a corneal neovascularization condition. 12. The method of claim 3 , further comprising omitting an area of specular reflection from the portion of the reference white color in determining the average gain. 13. The method of claim 1 , wherein to evaluate conjunctival redness, the color value is determined as a product of the scalar value and a saturation component of the polar coordinate based color space. 14. The method of claim 1 , wherein to evaluate conjunctival/scleral pigmented lesions or fluorescein stained punctuate keratitis, the color value is determined as a product of the scalar value, a saturation component, and a brightness component of the polar coordinate based color space. 15. The method of claim 1 , further comprising scaling the color score within a predetermined range. 16. The method of claim 15 , wherein the predetermined range is 0-100.

Assignees

Inventors

Classifications

  • A61B3/14Primary

    Arrangements specially adapted for eye photography · CPC title

  • Eye; Retina; Ophthalmic · CPC title

  • Determination of colour characteristics · CPC title

  • Biomedical image inspection · CPC title

  • H04N1/628Primary

    Memory colours, e.g. skin or sky · CPC title

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Frequently asked questions

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What does patent US9854970B2 cover?
The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes dete…
Who is the assignee on this patent?
Massachusetts Eye & Ear Infirmary
What technology area does this patent fall under?
Primary CPC classification A61B3/14. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jan 02 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).