Anna L. Ells's Books

Digital Image Processing for Ophthalmology

Detection of the Optic Nerve Head

By: Xiaolu Zhu,Rangaraj Rangayyan,Anna L. Ells

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Digital Image Processing for Ophthalmology

Detection of the Optic Nerve Head

By: Xiaolu Zhu,Rangaraj Rangayyan,Anna L. Ells

Fundus images of the retina are color images of the eye taken by specially designed digital cameras. Ophthalmologists rely on fundus images to diagnose various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structures, such as the optic nerve head (ONH), the macula, and the major vascular arcades. Identification of the ONH is an important initial step in the detection and analysis of the anatomical structures and pathological features in the retina. Different types of retinal pathology may be detected and analyzed via the application of appropriately designed techniques of digital image processing and pattern recognition. Computer-aided analysis of retinal images has the potential to facilitate quantitative and objective analysis of retinal lesions and abnormalities. Accurate identification and localization of retinal features and lesions could contribute to improved diagnosis, treatment, and management of retinopathy. This book presents an introduction to diagnostic imaging of the retina and an overview of image processing techniques for ophthalmology. In particular, digital image processing algorithms and pattern analysis techniques for the detection of the ONH are described. In fundus images, the ONH usually appears as a bright region, white or yellow in color, and is indicated as the convergent area of the network of blood vessels. Use of the geometrical and intensity characteristics of the ONH, as well as the property that the ONH represents the location of entrance of the blood vessels and the optic nerve into the retina, is demonstrated in developing the methods. The image processing techniques described in the book include morphological filters for preprocessing fundus images, filters for edge detection, the Hough transform for the detection of lines and circles, Gabor filters to detect the blood vessels, and phase portrait analysis for the detection of convergent or node-like patterns. Illustrations of application of the methods to fundus images from two publicly available databases are presented, in terms of locating the center and the boundary of the ONH. Methods for quantitative evaluation of the results of detection of the ONH using measures of overlap and free-response receiver operating characteristics are also described. Table of Contents: Introduction / Computer-aided Analysis of Images of the Retina / Detection of Geometrical Patterns / Datasets and Experimental Setup / Detection of the\\Optic Nerve Head\\Using the Hough Transform / Detection of the\\Optic Nerve Head\\Using Phase Portraits / Concluding Remarks

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Springer Nature

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ISBN 10

3031016491

ISBN 13

9783031016493

Digital Image Processing for Ophthalmology

Detection and Modeling of Retinal Vascular Architecture

By: Faraz Oloumi,Rangaraj Rangayyan,Anna Ells

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Digital Image Processing for Ophthalmology

Detection and Modeling of Retinal Vascular Architecture

By: Faraz Oloumi,Rangaraj Rangayyan,Anna Ells

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.

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151

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Springer Nature

Published Date

ISBN 10

3031016602

ISBN 13

9783031016608

Digital Image Processing for Ophthalmology

Detection and Modeling of Retinal Vascular Architecture

By: Faraz Oloumi,Rangaraj M. Rangayyan,Anna L. Ells

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Digital Image Processing for Ophthalmology

Detection and Modeling of Retinal Vascular Architecture

By: Faraz Oloumi,Rangaraj M. Rangayyan,Anna L. Ells

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177

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Morgan & Claypool Publishers

Published Date

ISBN 10

1627054316

ISBN 13

9781627054317

Book's by Anna L. Ells

Digital Image Processing for Ophthalmology

Digital Image Processing for Ophthalmology

Digital Image Processing for Ophthalmology

Digital Image Processing for Ophthalmology

Digital Image Processing for Ophthalmology

Digital Image Processing for Ophthalmology

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