Retinal Imaging and Image Analysis

M D Abràmoff; M K Garvin; M Sonka

doi:10.1109/RBME.2010.2084567

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Journal article

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Retinal Imaging and Image Analysis

M D Abràmoff, M K Garvin and M Sonka

IEEE Reviews in Biomedical Engineering, Vol.3, pp.169-208

2010

DOI: 10.1109/RBME.2010.2084567

PMCID: PMC3131209

PMID: 22275207

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https://www.ncbi.nlm.nih.gov/pmc/articles/3131209View

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Abstract

Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age-related macular degeneration, diabetic retinopathy, and glaucoma, the review is devoted to retinal imaging and image analysis methods and their clinical implications. Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed. Special attention is given to quantitative techniques for analysis of fundus photographs with a focus on clinically relevant assessment of retinal vasculature, identification of retinal lesions, assessment of optic nerve head (ONH) shape, building retinal atlases, and to automated methods for population screening for retinal diseases. A separate section is devoted to 3-D analysis of OCT images, describing methods for segmentation and analysis of retinal layers, retinal vasculature, and 2-D/3-D detection of symptomatic exudate-associated derangements, as well as to OCT-based analysis of ONH morphology and shape. Throughout the paper, aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships.

Eye

fundus photography

optical coherence tomography (OCT)

Retina

Computer aided diagnosis

Biomedical image processing

Computer-aided diagnosis

population screening

Details

Title: Subtitle: Retinal Imaging and Image Analysis
Creators: M D Abràmoff - Dept. of Ophthalmology & Visual Sci., Univ. of Iowa, Iowa City, IA, USA
M K Garvin - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
M Sonka - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
Resource Type: Journal article
Publication Details: IEEE Reviews in Biomedical Engineering, Vol.3, pp.169-208
DOI: 10.1109/RBME.2010.2084567
PMID: 22275207
PMCID: PMC3131209
NLM abbreviation: IEEE Rev Biomed Eng
ISSN: 1937-3333
eISSN: 1941-1189
Publisher: IEEE
Language: English
Date published: 2010
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9983806288602771

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