Through focus retinal image capturing

US10799115B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10799115-B2
Application numberUS-201715651853-A
CountryUS
Kind codeB2
Filing dateJul 17, 2017
Priority dateFeb 27, 2015
Publication dateOct 13, 2020
Grant dateOct 13, 2020

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Abstract

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An apparatus for producing a non-mydriatic fundus image is disclosed. The apparatus can include a processor and memory, as well as an illumination component and a camera with a variable focus lens. The apparatus can be configured to adjust the focus of the lens to a plurality of different diopter ranges and capture at least one image at each of the plurality of different diopter ranges. Using the captured images, three-dimensional maps of the fundus may be generated. Three-dimensional maps of the fundus may be used to screen or diagnose various diseases.

First claim

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What is claimed is: 1. A non-mydriatic fundus imaging apparatus, the apparatus comprising: a processor and memory; and a camera including a lens, the camera operatively coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the apparatus to: adjust a focus of the lens to a plurality of different diopter ranges; capture a plurality of images of a fundus, wherein the camera captures at least one image at each of the plurality of different diopter ranges; and after capturing each of the plurality of images of the fundus, generate a three-dimensional map of the fundus using each of the plurality of images of the fundus, including: identify a first region, each of the plurality of images having corresponding first regions; evaluate each of the respective first regions of each of the plurality of images for focus quality, thereby generating a focus quality score for each of the respective first regions of each of the plurality of images; generate a slope of the fundus based on a change in the focus quality score in the first regions across the plurality of images of the fundus; and use the slope to generate the three-dimensional map of the fundus. 2. The apparatus according to claim 1 , the instructions further causing the apparatus to: identify one or more areas of interest on the three-dimensional map of the fundus; and screen the one or more areas of interest for indications of disease. 3. The apparatus according to claim 1 , the instructions further causing the apparatus to: identify one or more areas of interest on the three-dimensional map of the fundus; and identify a diagnosis based on the one or more areas of interest. 4. The apparatus of claim 3 , the diagnosis including a determination of whether the three dimensional map is indicative of papilledema. 5. The apparatus according to claim 4 , the diagnosis further including a determination of a stage of papilledema. 6. The apparatus according to claim 3 , further comprising a display coupled to the memory and to the processor and configured to display an image or text representative of the diagnosis. 7. The apparatus according to claim 1 , the instructions further causing the apparatus to: adjust the focus of the lens and capture subsequent images until images have been captured of a depth of field from −6 diopters to +6 diopters. 8. The apparatus according to claim 6 , wherein each adjustment of the focus is by +/−3 diopters. 9. The apparatus according to claim 1 , wherein the images are captured sequentially in less than about 150 milliseconds. 10. The apparatus according to claim 1 , further comprising a visible light component configured to illuminate during the capture of the plurality of images. 11. A method for screening for optic nerve edema with a non-mydriatic fundus imaging apparatus, the method comprising: adjusting a lens of a camera to focus on each of a plurality of different diopter ranges in a depth of field; capturing at least one image at each of the plurality of different diopter ranges; generating a three-dimensional map of a fundus using the at least one image captured at each of the plurality of different diopter ranges, including: identifying a first region, each of the images having corresponding first regions; evaluating each of the respective first regions of each of the images for focus quality, thereby generating a focus quality score for each of the respective first regions of each of the plurality of images; generating a slope of the fundus based on a change in the focus quality score in the first regions across the plurality of images of the fundus; and using the slope to generate the three-dimensional map of the fundus; and based on the three-dimensional map, screening for optic nerve edema. 12. The method according to claim 11 , further comprising identifying one or more areas of interest on the three-dimensional map of the fundus, wherein the screening for optic nerve edema includes analyzing the one or more areas of interest. 13. The method according to claim 12 , wherein screening for optic nerve edema includes identifying a diagnosis. 14. The method according to claim 13 , further comprising displaying an indication of the diagnosis on a display. 15. The method according to claim 12 , wherein the depth of field is from −6 diopters to 6 diopters. 16. A non-mydriatic fundus image capture system, comprising: a housing; an image capture device coupled to the housing, the image capture device including a visible light component configured to illuminate; a display; a processing unit; and memory storing instructions that, when executed by the processing unit, cause the system to: capture a plurality of images of a fundus in an image capture mode, wherein the image capture mode includes a plurality of adjustments of a lens of the image capture device such that the image capture device captures an image at each of the plurality of adjustments in a depth of field focus range, wherein the light from the visible light component is gathered in a single step for each image; after capturing each of the plurality of images of the fundus, generate a three-dimensional map of the fundus using each of the plurality of images of the fundus, including: identify a first region, each of the plurality of images having corresponding first regions; evaluate each of the respective first regions of each of the plurality of images for focus quality, thereby generating a focus quality score for each of the respective first regions of each of the plurality of images; generate a slope of the fundus based on a change in the focus quality score in the first regions across the plurality of images of the fundus; and use the slope to generate the three-dimensional map of the fundus; identify one or more areas of interest on the three-dimensional map of the fundus; and screen the one or more areas of interest for indications of disease. 17. The non-mydriatic fundus image capture system according to claim 16 , the instructions further causing the apparatus to: identify a diagnosis based on the one or more areas of interest; and display a diagnosis image representing the diagnosis. 18. The non-mydriatic fundus image capture system according to claim 17 , the instructions further causing the apparatus to adjust the focus of the lens and capture subsequent images until images have been captured of a depth of field from −6 diopters to +6 diopters, wherein each adjustment of the focus is by +/−3 diopters. 19. The apparatus according to claim 1 , wherein the first region is a 5 pixel by 5 pixel region. 20. The apparatus according to claim 19 , wherein slopes are generated for regions neighboring the first region.

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What does patent US10799115B2 cover?
An apparatus for producing a non-mydriatic fundus image is disclosed. The apparatus can include a processor and memory, as well as an illumination component and a camera with a variable focus lens. The apparatus can be configured to adjust the focus of the lens to a plurality of different diopter ranges and capture at least one image at each of the plurality of different diopter ranges. Using t…
Who is the assignee on this patent?
Welch Allyn Inc
What technology area does this patent fall under?
Primary CPC classification A61B3/12. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Oct 13 2020 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 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).