Schnidt-Erfurth, Ursula, Leitgeb, Rainer A., Michels, Stephan, Považay, Boris, Sacu, Stefan, Hermann, Boris ORCID: https://orcid.org/0000-0001-8658-485X, Ahlers, Christian, Sattmann, Harald, Scholda, Christoph, Fercher, Adolf F. and Drexler, Wolfgang 2005. Three-dimensional ultrahigh resolution optical coherence tomography of macular pathologies. Investigative Ophthalmology and Visual Science 46 (9) , pp. 3393-3402. 10.1167/iovs.05-0370 |
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Abstract
purpose. To demonstrate a new generation of three-dimensional (3-D) ultrahigh-resolution optical coherence tomography (UHR OCT) technology for visualization of macular diseases. methods. One hundred forty eyes with a distinct disease in each of the posterior pole compartments were examined with 3-D UHR OCT. 3-D imaging was performed with a high axial resolution of 3 ?m with a compact, commercially available, ultra–broad-bandwidth (160 nm) titanium:sapphire laser at a video rate of up to 25 B-scans/s. Each tomogram consisted of 1024 × 1024 pixels, resulting in 25 megavoxels/s. results. 3-D UHR OCT offers high-precision 3-D visualization of macular diseases at all structural levels. The UHR modality allows identification of the contour of the hyaloid membrane, tractive forces of epiretinal membranes, and changes within the inner limiting membrane. The system provides quality 3-D images of the topographic dynamics of traction lines from the retinal surface down to the level of the photoreceptor segments. Intraretinal diseases are identified by their specific location in different layers of the neurosensory ultrastructure. Photoreceptor inner and outer segments are clearly delineated in configuration and size, with a characteristic peak in the subfoveal area. The microarchitecture of choroidal neovascularization is distinctly imaged, related leakage can be identified, and the volume can be quantified. conclusions. High-speed UHR OCT offers unprecedented, realistic, 3-D imaging of ocular diseases at all epi-, intra- and subretinal levels. A complete 3-D data set of the macular layers allows a comprehensive analysis of focal and diffuse diseases, as well as identification of dynamic pathomechanisms.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Optometry and Vision Sciences |
Additional Information: | Confirmation received by publisher on 21 February 2014 that publisher's pdf can be self-archived 6 months after publication. |
Publisher: | Association for Research in Vision and Ophthalmology |
ISSN: | 0146-0404 |
Date of First Compliant Deposit: | 30 March 2016 |
Last Modified: | 05 May 2023 21:42 |
URI: | https://orca.cardiff.ac.uk/id/eprint/850 |
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