Retinal Imaging and Image Analysis
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TLDR
Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed and aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships.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.read more
Citations
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Journal ArticleDOI
Statistical atlas-based descriptor for an early detection of optic disc abnormalities.
TL;DR: It is shown that the ASD is able to characterize healthy and glaucomatous OD regions, and the deviation map extracted from the atlas can be used to assist clinicians in an early detection of deformation abnormalities in the OD region.
Patent
Method and apparatus for tomography imaging
TL;DR: In this article, a method and apparatus for determining the position of a feature of an object under test in a tomography image are disclosed, which includes: determining characterizing points, in an additional image, of the feature of interest; determining position data relating to the feature in the additional image based on the detected characterising points.
Proceedings Article
Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning.
Ehsan Shahrian Varnousfaderani,Siamak Yousefi,Christopher Bowd,Akram Belghith,Michael H. Goldbaum +4 more
TL;DR: A novel supervised method to evaluate performance of Leung-Malik filters in delineating vessels and a two level hierarchical learning framework is proposed to segment vessels in retinal images with confounding disease abnormalities.
Posted Content
Reproducibility of Retinal Thickness Measurements across Spectral-Domain Optical Coherence Tomography Devices using Iowa Reference Algorithm
Adnan Rashid,Sebastian M Waldstein,Bianca S Gerendas,Hrvoje Bogunovic,Andreas Wahle,Kyungmoo Lee,Kai Wang,Christian Simader,Michael D. Abràmoff,Ursula Schmidt-Erfurth,Milan Sonka +10 more
TL;DR: Combination of the Iowa Reference Algorithm with scanner-specific bias correction yields cross-scanner consistency of total retinal thickness measurements, facilitating scanning-device independent quantitative assessment of total Retinal thickness, longitudinal follow-up quantification without requiring patients to be imaged on the same scanner model, and allowing for multi-center studies with heterogeneous device utilization.
Book ChapterDOI
Pattern Classes in Retinal Fundus Images Based on Function Norms
TL;DR: The aim is to explain how norms in function spaces can be used to set up, automatically, classes of different retinal fundus images, and how these classifications rely on crucial and unique retinal features, such as the vascular network, whose location and measurement are appropriately quantified by weighted norms infunction spaces.
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