Image Analysis and Modeling in Ophthalmology

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

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.

E Y K Ng, received his PhD at Cambridge University. He is a faculty member at the Nanyang Technological University in the School of Mechanical and Aerospace Engineering. Ng is editor-in-chief for the J. of Mechanics in Medicine and Biology and J. Med. Imaging and Health Informatics; assoc. editor for Int. J. of Rotating Machinery, Computational Fluid Dynamics J., Int. J. of Breast Cancer, Chinese J. of Medicine, Open Medical Informatics J., Open Numerical Methods J., and J. of Healthcare Engineering; and strategy assoc. editor-in-chief for World J. of Clinical Oncology. Ng has published more than 255 SCI journal papers, and co-edited 11 books including Human Eye Imaging and Modeling by CRC (2011).

U. Rajendra Acharya, PhD, DEng is a visiting faculty in Ngee Ann Polytechnic, Singapore. He is also an adjunct professor at the University of Malaya, Malaysia; adjunct faculty in Singapore Institute of Technology-University of Glasgow, Singapore; associate faculty in SIM University, Singapore; and adjunct faculty in Manipal Institute of Technology, Manipal, India. He received his Ph.D. from the National Institute of Technology Karnataka, Surathkal, India and D Engg from Chiba University, Japan. He has published more than 275 papers in refereed international SCI-IF journals, international conference proceedings, textbook chapters, and books. His major interests are in biomedical signal processing, bio-imaging, data mining, visualization, and biophysics.

Aurélio Campilho, is a full professor in the Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto (FEUP), Portugal. He served as president of the Biomedical Engineering Institute, as director of the doctoral program in Electrical and Computer Engineering at FEUP, and as a member of the Scientific Committee of the Master Degree in Bioengineering at the University of Porto. His current research int