Ophthalmological Imaging and Applications

1. Retinal Vascular Imaging in Clinical Research
2. Detection and Modeling of the Major Temporal Arcade in Retinal Fundus Images
3. Application of Higher Order Spectra Cumulants for Diabetic Retinopathy Detection using Digital Fundus Images
4. Quality Measures for Retinal Images
5. Graph Search Retinal Vessel Tracking
6. Fundus Autofluorescence Imaging: Fundamentals and Clinical Relevance
7. The Needs/Requirements and Design of Imaging and Image Processing Methods for Ophthalmology in the Indian Context
8. The Application of Ocular Fundus Photography and Angiography
9. Optic Nerve Analysis and Imaging in Relation to Glaucoma
10. Imaging of the Eye after Glaucoma Surgery
11. Confocal Microscopy of Cornea
12. Corneal Topography and Tomography: The Orbscan II
13. Automatic Analysis of Scanning Laser Ophthalmoscope Sequences for Arteriovenous Passage Time Measurement
14. Optical Coherence Tomography
15. The Role of Optical Coherence Tomography on Imaging of the Ocular Surface
16. Anterior Segment Imaging of Anterior Segment Optical Coherence Tomography (ASOCT)
17. Cyst Detection in OCT Images for Pathology Characterization
18. Scanning Laser Ophthalmoscope Fundus Perimetry: The Microperimetry
19. In Vivo Confocal Microscopy: Imaging of the Ocular Surface
20. Biomechanical Modeling of Blood Vessels for Interpretation of Tortuosity Estimates
21. Hybrid Finite Element Simulation for Bioheat Transfer in Human Eye
22. Effects of Electromagnetic Fields on Specific Absorption Rate and Heat Transfer in the Human Eye
23. Dry-Eye Characterization by Analysis of Tear Film Images
24. Thermography and the Eye: A Look at Ocular Surface Temperature

Edited by and featuring contributions from world-class researchers, Ophthalmological Imaging and Applicationsoffers a unified work of the latest human eye imaging and modeling techniques that have been proposed and applied to the diagnosis of ophthalmologic problems, including inflammation, cataracts, diabetic retinopathy, and glaucoma. With a focus on theory, basic principles, and results derived from research, the book:     Explores various morphological, textural, higher-order spectral, and wavelet transformation techniques used to extract salient features from images of the human eye Examines 2D and 3D finite element and boundary element models of the human eye developed to simulate thermal steady-state conditions Addresses the difficult task of benchmarking the validity of human eye imaging techniques and computer-simulated results with experimental measurements Intended to be a companion to Image Analysis and Modeling in Ophthalmology, this volume covers several aspects of multimodal ophthalmological imaging and applications, presenting information in an accessible manner to appeal to a wide audience of students, researchers, and practitioners. Ophthalmological Imaging and Applicationsconsiders promising simulations that pave the way for new possibilities in computational methods for eye health care.