Digital Image Processing for Ophthalmology

Digital Image Processing for Ophthalmology
Detection and Modeling of Retinal Vascular Architecture

Faraz Oloumi, Rangaraj M. Rangayyan, Anna L. Ells
ISBN: 9781627054300 | PDF ISBN: 9781627054317
Copyright © 2015 | 185 Pages | Publication Date: 04/01/2014

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The monitoring of the effects of retinopathy on the visual system can be assisted by analyzing the vascular architecture of the retina. This book presents methods based on Gabor filters to detect blood vessels in fundus images of the retina. Forty images of the retina from the Digital Retinal Images for Vessel Extraction (DRIVE) database were used to evaluate the performance of the methods. The results demonstrate high efficiency in the detection of blood vessels with an area under the receiver operating characteristic curve of 0.96. Monitoring the openness of the major temporal arcade (MTA) could facilitate improved diagnosis and optimized treatment of retinopathy. This book presents methods for the detection and modeling of the MTA, including the generalized Hough transform to detect parabolic forms. Results obtained with 40 images of the DRIVE database, compared with hand-drawn traces of the MTA, indicate a mean distance to the closest point of about 0.24mm.

This book illustrates applications of the methods mentioned above for the analysis of the effects of proliferative diabetic retinopathy and retinopathy of prematurity on retinal vascular architecture.

Table of Contents

Preface
Acknowledgments
List of Symbols and Abbreviations
Introduction
Computer-aided Analysis of Images of the Retina
Methods for the Detection of Oriented and Geometrical Patterns
Databases of Retinal Images and the Experimental Setup
Detection of Retinal Vasculature
Modeling of the Major Temporal Arcade
Potential Clinical Applications
References
Authors' Biographies

About the Author(s)

Faraz Oloumi, University of Calgary

Rangaraj M. Rangayyan, University of Calgary

Anna L. Ells, Alberta Children's Hospital

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