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Split-spectrum amplitude-decorrelation angiography with optical coherence tomography

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      Amplitude decorrelation measurement is sensitive to transverse flow and immune to phase noise in comparison to Doppler and other phase-based approaches. However, the high axial resolution of OCT makes it very sensitive to the pulsatile bulk motion noise in the axial direction. To overcome this limitation, we developed split-spectrum amplitude-decorrelation angiography (SSADA) to improve the signal-to-noise ratio (SNR) of flow detection. The full OCT spectrum was split into several narrower bands. Inter-B-scan decorrelation was computed using the spectral bands separately and then averaged. The SSADA algorithm was tested on in vivo images of the human macula and optic nerve head. It significantly improved both SNR for flow detection and connectivity of microvascular network when compared to other amplitude-decorrelation algorithms.

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      Most cited references 49

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      Optical coherence tomography.

      A technique called optical coherence tomography (OCT) has been developed for noninvasive cross-sectional imaging in biological systems. OCT uses low-coherence interferometry to produce a two-dimensional image of optical scattering from internal tissue microstructures in a way that is analogous to ultrasonic pulse-echo imaging. OCT has longitudinal and lateral spatial resolutions of a few micrometers and can detect reflected signals as small as approximately 10(-10) of the incident optical power. Tomographic imaging is demonstrated in vitro in the peripapillary area of the retina and in the coronary artery, two clinically relevant examples that are representative of transparent and turbid media, respectively.
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        Sensitivity advantage of swept source and Fourier domain optical coherence tomography.

        We present theoretical and experimental results which demonstrate the superior sensitivity of swept source (SS) and Fourier domain (FD) optical coherence tomography (OCT) techniques over the conventional time domain (TD) approach. We show that SS- and FD-OCT have equivalent expressions for system signal-to-noise ratio which result in a typical sensitivity advantage of 20-30dB over TD-OCT. Experimental verification is provided using two novel spectral discrimination (SD) OCT systems: a differential fiber-based 800nm FD-OCT system which employs deep-well photodiode arrays, and a differential 1300nm SS-OCT system based on a swept laser with an 87nm tuning range.
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          Performance of fourier domain vs. time domain optical coherence tomography.

          In this article we present a detailed discussion of noise sources in Fourier Domain Optical Coherence Tomography (FDOCT) setups. The performance of FDOCT with charge coupled device (CCD) cameras is compared to current standard time domain OCT systems. We describe how to measure sensitivity in the case of FDOCT and confirm the theoretically obtained values. It is shown that FDOCT systems have a large sensitivity advantage and allow for sensitivities well above 80dB, even in situations with low light levels and high speed detection.

            Author and article information

            [1 ]Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA
            [2 ]Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA
            [3 ]Department of Electrical Engineering and Computer Science, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
            [4 ]Advanced Imaging Group, Thorlabs, Inc., Newton, NJ 07860, USA
            [5 ]Pattern Recognition Lab, University Erlangen-Nuremberg, D-91058 Erlangen, Germany
            Author notes
            Opt Express
            Opt Express
            Optics Express
            Optical Society of America
            09 February 2012
            13 February 2012
            09 February 2013
            : 20
            : 4
            : 4710-4725
            ©2012 Optical Society of America

            This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.

            Funded by: NIH
            Award ID: R01 EY013516
            Award ID: R01-EY11289-26
            Funded by: AFOSR
            Award ID: FA9550-10-1-0551
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