The current diagnosis and quantification of retinal diseases, such as age-related macular degeneration, relies on the subjective interpretation of color retinal images and fluorescein angiograms by trained experts. The subjectivity of the diagnostic process has complicated the appropriate application of clinical trial results to clinical practice. With rapid advances in the genotyping of retinal disease and the development of therapies which target disease at the molecular level, the need for accurate, reproducible, and precise phenotyping of retinal disease has become critical. The development of high-resolution digital fundus imaging systems, advanced mathematics, and high-speed computing has now made complete quantification of retinal lesions feasible. To solve this important problem, a team of retinal image interpretation experts, mathematicians, computer scientists, and image processing experts has been assembled. The process of retinal image analysis and quantification is divided into three major components: (1) image selection and preparation, (2) image alignment or registration, and (3) image segmentation, identification, and quantification. In the first (R21) phase of this proposal, the aim is to develop a prototype system to answer important feasibility questions related to each of these three components. Accomplishing this aim will require the development of image quality assessment metrics, shade-correction algorithms, global warping functions, and a database of intensity profiles for various retinal structures. In the second (R33) phase of this proposal, the prototype system from the R21 phase will be refined, optimized, and validated against the existing gold standard (expert human interpretation) and other objective and subjective clinical parameters. At the end of this proposed research project, a validated technology will have been developed for the reproducible, accurate, and objective diagnosis, classification, and quantification of retinal disease. This technology will be of great value in future clinical and pre-clinical studies, and in everyday clinical practice.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21EY015914-03
Application #
7120064
Study Section
Special Emphasis Panel (ZRG1-MDCN-G (55))
Program Officer
Mariani, Andrew P
Project Start
2004-09-01
Project End
2008-08-31
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
3
Fiscal Year
2006
Total Cost
$352,681
Indirect Cost
Name
Doheny Eye Institute
Department
Type
DUNS #
020738787
City
Los Angeles
State
CA
Country
United States
Zip Code
90033
Tan, Colin S; Heussen, Florian; Sadda, Srinivas R (2013) Peripheral autofluorescence and clinical findings in neovascular and non-neovascular age-related macular degeneration. Ophthalmology 120:1271-7
Ouyang, Yanling; Heussen, Florian M; Hariri, Amirhossein et al. (2013) Optical coherence tomography-based observation of the natural history of drusenoid lesion in eyes with dry age-related macular degeneration. Ophthalmology 120:2656-2665
Alasil, Tarek; Keane, Pearse A; Updike, Jared F et al. (2010) Relationship between optical coherence tomography retinal parameters and visual acuity in diabetic macular edema. Ophthalmology 117:2379-86
Kashani, Amir H; Keane, Pearse A; Dustin, Laurie et al. (2009) Quantitative subanalysis of cystoid spaces and outer nuclear layer using optical coherence tomography in age-related macular degeneration. Invest Ophthalmol Vis Sci 50:3366-73
Choe, Tae Eun; Medioni, Gerard; Cohen, Isaac et al. (2008) 2-D registration and 3-D shape inference of the retinal fundus from fluorescein images. Med Image Anal 12:174-90
Joeres, Sandra; Kaplowitz, Kevin; Brubaker, Jacob W et al. (2008) Quantitative comparison of optical coherence tomography after pegaptanib or bevacizumab in neovascular age-related macular degeneration. Ophthalmology 115:347-354.e2
Liakopoulos, Sandra; Ongchin, Sharel; Bansal, Alok et al. (2008) Quantitative optical coherence tomography findings in various subtypes of neovascular age-related macular degeneration. Invest Ophthalmol Vis Sci 49:5048-54
Keane, Pearse A; Liakopoulos, Sandra; Ongchin, Sharel C et al. (2008) Quantitative subanalysis of optical coherence tomography after treatment with ranibizumab for neovascular age-related macular degeneration. Invest Ophthalmol Vis Sci 49:3115-20
Keane, P A; Liakopoulos, S; Chang, K T et al. (2008) Comparison of the optical coherence tomographic features of choroidal neovascular membranes in pathological myopia versus age-related macular degeneration, using quantitative subanalysis. Br J Ophthalmol 92:1081-5
Keane, Pearse A; Liakopoulos, Sandra; Chang, Karen T et al. (2008) Relationship between optical coherence tomography retinal parameters and visual acuity in neovascular age-related macular degeneration. Ophthalmology 115:2206-14

Showing the most recent 10 out of 12 publications