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Fully-automated lesion characterization in ultrawide-field retinal images

Award Number: R43EY028081
ORGANIZATION: NATIONAL EYE INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 06/01/2018
PERIOD OF PERFORMANCE END DATE: 09/30/2019

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Fully-automated lesion characterization in ultrawide-field retinal images - Abstract In this grant application we propose to develop, EyeReadUWF, a fully automated tool for lesion characterization in ultra-widefield scanning laser ophthalmoscopy (UWF SLO) images. In recent times non mydriatic UWF SLO imaging has been shown to be a promising alternative to conventional digital color fundus imaging for grading of diabetic eye diseases, with advantages including 130°-200° field-of-view showing more than 80% of the retina in a single image, no need for multiple fields, multiple flashes, or refocusing between field acquisitions, ability to penetrate media opacities like cataract, and lower rate of ungradable images. UWF SLO images are particularly suitable for detecting predominantly peripheral lesions (PPLs), which have been associated with higher risk of diabetic retinopathy (DR) progression. Accurate quantification of presence and extent of PPLs can only be done by a robust automated tool that is specifically designed for the pseudo-colored images of UWF SLO modality. EyeReadUWF will automatically characterize lesions in pseudo colored UWF images while handling possible artifacts from eyelashes and determine the lesion predominance in peripheral and central regions of UWF image. The ability to accurately quantify the presence and extent of predominantly peripheral lesions in UWF SLO images can enable clinicians to triage patients with higher risk of DR progression and onset of PDR, have a positive impact on diabetic patient management, and aid drug discovery research.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2019 ( Subtotal = $0 )
2019	2018	EYENUK, INC.	5850 CANOGA AVE STE 250	WOODLAND HILLS	CA	91367	LOS ANGELES	USA	Vision Research	000	1	8/27/2019	NEW	$0
														Subtotal = $0

Issue Date FY: 2018 ( Subtotal = $216,440 )
2018	2018	EYENUK, INC.	5850 CANOGA AVE STE 250	WOODLAND HILLS	CA	91367	LOS ANGELES	USA	Vision Research	000	1	5/23/2018	NEW	$216,440
														Subtotal = $216,440

Grand Total All Awards = $216,440

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Fully-automated lesion characterization in ultrawide-field retinal images

Award Number: R43EY028081

ORGANIZATION: NATIONAL EYE INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 06/01/2018

PERIOD OF PERFORMANCE END DATE: 09/30/2019

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