[Original PDF] Optical Coherence Tomography of Ocular Diseases

by Joel S., Ed. Schuman Ed., Carmen A. Puliafito, James G. Fujimoto, Jay S. Duker
For more than 17 years, Optical Coherence Tomography of Ocular Diseases has been the classic text on this essential imaging technology. This completely revised and updated Third Edition of Optical Coherence Tomography of Ocular Diseases reflects the quickly advancing technology of spectral domain optical coherence tomography (OCT). Incorporated within over 600 pages are a multitude of updated features unique to this Third Edition including over 1,200 color images, state-of-the-art technology, and case presentations. These elements cohesively work together to successfully demonstrate the retina in normal and diseased states using spectral domain OCT. Optical Coherence Tomography of Ocular Diseases, Third Edition is written with the clinician in mind. The text’s primary objective is to illustrate the appearance of the eye in health and disease, comparing conventional clinical technologies using spectral domain OCT imaging. This method introduces the clinician to the manifestations of disease as indicated by OCT, while presenting the more familiar fundoscopic and fluorescein angiographic views side- by-side. Drs. Joel S. Schuman, Carmen A. Puliafito, James G. Fujimoto, and Jay Duker, together with their 17 contributors, have collaborated to revise and update this best-selling comprehensive resource to reflect the current state-of-the-art technology of spectral domain OCT. OCT applications in retinal diseases, glaucoma, neuro- ophthalmology, anterior segment, and a description of OCT technologies are all topics extensively covered in this new Third Edition. Two appendices are included that contain a wealth of technical information for those interested in learning more about the physical principles of operation of this diagnostic imaging technology, as well as scanning and image processing protocols. Features:
• Utilizes and interprets spectral domain OCT imaging from multiple machines.
• Over 1,200 color images.
• Strong focus on reti

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