In-vivo, real-time cross-sectional images of retina using a GPU enhanced master slave optical coherence tomography system

Bradu, Adrian and Kapinchev, Konstantin and Barnes, Frederick R.M. and Podoleanu, Adrian G.H. (2016) In-vivo, real-time cross-sectional images of retina using a GPU enhanced master slave optical coherence tomography system. In: Manns, Fabrice and Söderberg, Per G. and Ho, Arthur, eds. Progress in Biomedical Optics and Imaging. Ophthalmic Technologies XXVI. Proceedings of SPIE, 17 (5). SPIE Society of Photo-Optical Instrumentation Engineers, Bellingham, Washington, United States 96930S. ISBN 978-1-62841-927-6. (doi:https://doi.org/10.1117/12.2211072) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://doi.org/10.1117/12.2211072

Abstract

In our previous reports we demonstrated a novel Fourier domain optical coherence tomography method, Master Slave optical coherence tomography (MS-OCT), that does not require resampling of data and can deliver en-face images from several depths simultaneously. While ideally suited for delivering information from a selected depth, the MS-OCT has been so far inferior to the conventional FFT based OCT in terms of time of producing cross section images. Here, we demonstrate that by taking advantage of the parallel processing capabilities offered by the MS-OCT method, cross-sectional OCT images of the human retina can be produced in real-time by assembling several T-scans from different depths. We analyze the conditions that ensure a real-time B-scan imaging operation, and demonstrate in-vivo real-time images from human fovea and the optic nerve, of comparable resolution and sensitivity to those produced using the traditional Fourier domain based method. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Item Type: Conference or workshop item (Proceeding)
Divisions: Faculties > Sciences > School of Physical Sciences
Depositing User: Matthias Werner
Date Deposited: 23 Jan 2017 13:40 UTC
Last Modified: 23 Jan 2017 13:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60029 (The current URI for this page, for reference purposes)
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