Image analysis and modeling in ophthalmology
Author(s)
Bibliographic Information
Image analysis and modeling in ophthalmology
CRC Press, c2014
- : hardback
Available at 3 libraries
Note
Other editors: U. Rajendra Acharya, Aurélio Campilho, Jasjit S. Suri
Includes bibliographical references and index
Description and Table of Contents
Description
Digital fundus images can effectively diagnose glaucoma and diabetes retinopathy, while infrared imaging can show changes in the vascular tissues. Likening the eye to the conventional camera, Image Analysis and Modeling in Ophthalmology explores the application of advanced image processing in ocular imaging. This book considers how images can be used to effectively diagnose ophthalmologic problems. It introduces multi-modality image processing algorithms as a means for analyzing subtle changes in the eye. It details eye imaging, textural imaging, and modeling, and highlights specific imaging and modeling techniques.
The book covers the detection of diabetes retinopathy, glaucoma, anterior segment eye abnormalities, instruments on detection of glaucoma, and development of human eye models using computational fluid dynamics and heat transfer principles to predict inner temperatures of the eye from its surface temperature. It presents an ultrasound biomicroscopy (UBM) system for anterior chamber angle imaging and proposes an automated anterior segment eye disease classification system that can be used for early disease diagnosis and treatment management. It focuses on the segmentation of the blood vessels in high-resolution retinal images and describes the integration of the image processing methodologies in a web-based framework aimed at retinal analysis.
The authors introduce the A-Levelset algorithm, explore the ARGALI system to calculate the cup-to-disc ratio (CDR), and describe the Singapore Eye Vessel Assessment (SIVA) system, a holistic tool which brings together various technologies from image processing and artificial intelligence to construct vascular models from retinal images. The text furnishes the working principles of mechanical and optical instruments for the diagnosis and healthcare administration of glaucoma, reviews state-of-the-art CDR calculation detail, and discusses the existing methods and databases.
Image Analysis and Modeling in Ophthalmology
includes the latest research development in the field of eye modeling and the multi-modality image processing techniques in ocular imaging. It addresses the differences, performance measures, advantages and disadvantages of various approaches, and provides extensive reviews on related fields.
Table of Contents
Ultrasound Biomicroscopic Imaging of the Anterior Chamber Angle. Automated Glaucoma Identification Using Retinal Fundus Images: A Hybrid Texture Feature Extraction Paradigm. Ensemble Classification Applied to Retinal Blood Vessel Segmentation: Theory and Implementation. Computer Vision Algorithms Applied to Retinal Vessel Segmentation and Quantification of Vessel Caliber. Segmentation of the Vascular Network of the Retina. Automatic Analysis of the Microaneurysm Turnover in a Web-Based Framework for Retinal Analysis. A-Levelset-Based Automatic Cup-to-Disc Ratio Measurement for Glaucoma Diagnosis from Fundus Image. The Singapore Eye Vessel Assessment System. Quantification of Diabetic Retinopathy Using Digital Fundus Images. Diagnostics Instruments for Glaucoma Detection. Automated Cup-to-Disc Ratio Estimation for Glaucoma Diagnosis in Retinal Fundus Images. Arteriovenous Ratio Calculation Using Image-Processing Techniques. Survey on Techniques Used in Iris Recognition Systems. Formal Design and Development of an Anterior Segment Eye Disease Classification System. Modeling of Laser-Induced Thermal Damage to the Retina and the Cornea. Automatization of Dry Eye Syndrome Tests. Thermal Modeling of the Ageing Eye. A Perspective Review on the Use of In Vivo Confocal Microscopy in the Ocular Surface. Computational Modeling of Thermal Damage Induced by Laser in a Choroidal Melanoma.
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