Image analysis and modeling in ophthalmology

Summary: "The human eye is a complex and important organ that works similarly to the conventional camera. Many advanced image-processing algorithms have been proposed to analyze the subtle changes in the eye to diagnose eye abnormalities efficiently. Digital fundus images have been used efficiently for the diagnosis of diabetes retinopathy and glaucoma. Infrared imaging provides a temperature profile that depicts changes in the vascular tissues, which helps to study the ocular surface temperature (OST) and ocular diseases like dry eye and cataracts. This book covers the detection of diabetes retinopathy, glaucoma, and anterior segment eye abnormalities; instruments for the detection of glaucoma; and the development of a human eye model using computational fluid dynamics and heat transfer principles to predict inner temperatures of the eye from its surface temperature. Ultrasound biomicroscopy (UBM) is one of the imaging systems that allow visualization of the anatomy and pathology of the anterior segment. It is particularly beneficial in evaluating regions of the eye behind the iris such as the ciliary body, lens zonular attachment, and lens periphery, which are obscured in other anterior scanning systems. In glaucoma imaging, UBM plays a significant role in objective assessment of peripheral anterior chamber angle morphology, which is useful in angle closure glaucoma diagnosis and management. Chapter 1 presents a UBM system for anterior chamber angle imaging. Chapter 2 describes both the formal design and development of an automated anterior segment eye disease classification system. The proposed system can be used for early disease diagnosis and treatment management"--