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Automated Image-based Biomarker Computation Tools for Diabetic Retinopathy

Award Number: R42TR000377
ORGANIZATION: NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2012
PERIOD OF PERFORMANCE END DATE: 06/30/2017

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Automated Image-based Biomarker Computation Tools for Diabetic Retinopathy - DESCRIPTION (provided by applicant): In this STTR project, we present EyeMark, a set of advanced image analysis tools for automated computation of biomarkers for diabetic retinopathy (DR) using retinal fundus images. Specifically, we will develop tools for computation of microaneurysm (MA) appearance and disappearance rates (jointly known as turnover rates) for use as a biomarker in quantifying DR progression risk. The availability of a reliable image-based biomarker will have high positive influence on various aspects of DR care, including screening, monitoring progression, drug discovery and clinical research. Measuring MA turnover involves two labor intensive steps: careful alignment of current and baseline images, and marking of individual MAs. This process is very time consuming and prone to error, if done entirely by human graders. The primary goal of this project is to overcome these limitations by automating both the steps involved in MA turnover measurement: accurate image registration, and MA detection. In Phase I we have designed and developed a MA turnover computation prototype tool that robustly registers longitudinal images (even with multiple lesion changes) and effectively detects MAs (lesion level AUROC=0.92). The tool provides graceful degradation to confounding image factors by reporting MA turnover as a range, thereby capturing the inherent confidence in MA detection. By the end of Phase II we will develop a clinically validated end-to-end desktop software for robust, automated computation of MA turnover biomarker, that can work on the cloud to produces results in near constant time (for large datasets), and also provide intuitive visualization tools for clinicians to more effectively monitor DR progression.


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: 2018 ( Subtotal = $0 )
2018	2016	EYENUK, INC.	5850 CANOGA AVE STE 250	WOODLAND HILLS	CA	91367	LOS ANGELES	USA	National Center for Advancing Translational Sciences	000	4	11/9/2017	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2016 ( Subtotal = $483,375 )
2016	2016	EYENUK INC	22130 CLARENDON STREET	SAN LUIS OBISPO	CA	91367		USA	National Center for Advancing Translational Sciences	000	4	6/23/2016	NON-COMPETING CONTINUATION	$483,375
														Subtotal = $483,375

Issue Date FY: 2015 ( Subtotal = $498,654 )
2015	2015	EYENUK INC	22130 CLARENDON STREET	SAN LUIS OBISPO	CA	91367		USA	National Center for Advancing Translational Sciences	000	3	7/2/2015	NON-COMPETING CONTINUATION	$498,654
														Subtotal = $498,654

Issue Date FY: 2014 ( Subtotal = $490,830 )
2014	2014	EYENUK INC	22130 CLARENDON STREET	SAN LUIS OBISPO	CA	91367		USA	National Center for Advancing Translational Sciences	000	2	9/26/2014	COMPETING CONTINUATION	$490,830
														Subtotal = $490,830

Grand Total All Awards = $1,472,859

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Automated Image-based Biomarker Computation Tools for Diabetic Retinopathy

Award Number: R42TR000377

ORGANIZATION: NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 09/01/2012

PERIOD OF PERFORMANCE END DATE: 06/30/2017

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