Paper
11 March 2008 Ultra-high resolution adaptive optics: optical coherence tomography for in vivo imaging of healthy and diseased retinal structures
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Proceedings Volume 6844, Ophthalmic Technologies XVIII; 684408 (2008) https://doi.org/10.1117/12.764115
Event: SPIE BiOS, 2008, San Jose, California, United States
Abstract
Ultra-high isotropic resolution imaging of retinal structures was made possible with an adaptive optics system using dual deformable mirrors and a Fourier-domain optical coherence tomography (Fd-OCT) system with correction for longitudinal chromatic aberration. This system was used to image microscopic retinal structures of healthy as well as diseased retinas in vivo. The improved resolution and contrast enhanced visualization of morphological structures in the retina can be clearly seen. The benefits of this instrument are apparent from comparison of new images with those acquired using a previous generation AO-OCT instrument. Big change in the appearance of speckle field (reduction in speckle size) can be observed as well. Additionally, further improvements in volumetric data acquisition and image representation will be discussed. This includes creation of large Field of View (FOV) AO-OCT volume from multiple sub-volumes and its visualization. Also techniques and results of reducing speckle contrast by averaging multiple B-scans will be presented.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert J. Zawadzki, Yan Zhang, Steven M. Jones, Stacey S. Choi, Barry Cense, Julia W. Evans, Donald T. Miller, Scot S. Olivier, and John S. Werner "Ultra-high resolution adaptive optics: optical coherence tomography for in vivo imaging of healthy and diseased retinal structures", Proc. SPIE 6844, Ophthalmic Technologies XVIII, 684408 (11 March 2008); https://doi.org/10.1117/12.764115
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Cited by 3 patents.
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KEYWORDS
Adaptive optics optical coherence tomography

Optical coherence tomography

Adaptive optics

Speckle

Image resolution

Visualization

Eye

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