May 2004
Volume 45, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2004
Ultrahigh Speed, Ultrahigh Resolution Optical Coherence Tomography Using Spectral Domain Detection
Author Affiliations & Notes
  • M.D. Wojtkowski
    Electric Engin/Comp Sci, Mass Institute of Technology, Cambridge, MA
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • T.H. Ko
    Electric Engin/Comp Sci, Mass Institute of Technology, Cambridge, MA
  • J.G. Fujimoto
    Electric Engin/Comp Sci, Mass Institute of Technology, Cambridge, MA
  • T. Bajraszewski
    Institute of Physics, Nicholas Copernicus University, Torun, Poland
  • I. Gorczynska
    Institute of Physics, Nicholas Copernicus University, Torun, Poland
  • P. Targowski
    Institute of Physics, Nicholas Copernicus University, Torun, Poland
  • A. Kowalczyk
    Institute of Physics, Nicholas Copernicus University, Torun, Poland
  • J.S. Schuman
    Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
  • J.S. Duker
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • Footnotes
    Commercial Relationships  M.D. Wojtkowski, None; T.H. Ko, None; J.G. Fujimoto, Carl Zeiss Meditec P; T. Bajraszewski, None; I. Gorczynska, None; P. Targowski, None; A. Kowalczyk, None; J.S. Schuman, Carl Zeiss Meditec P; J.S. Duker, None.
  • Footnotes
    Support  NIH EY11289–14, EY13178–02, P30–EY13078, and NSF ECS–0119452
Investigative Ophthalmology & Visual Science May 2004, Vol.45, 3009. doi:https://doi.org/
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      M.D. Wojtkowski, T.H. Ko, J.G. Fujimoto, T. Bajraszewski, I. Gorczynska, P. Targowski, A. Kowalczyk, J.S. Schuman, J.S. Duker; Ultrahigh Speed, Ultrahigh Resolution Optical Coherence Tomography Using Spectral Domain Detection . Invest. Ophthalmol. Vis. Sci. 2004;45(13):3009. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Abstract: : Purpose: To demonstrate new technology for ultrahigh speed and ultrahigh resolution optical coherence tomography (UHR–OCT) using spectral domain detection which can perform imaging more than 10x faster than standard OCT. To demonstrate ultrahigh speed, UHR–OCT imaging in the clinical setting. Methods: An UHR–OCT system has been developed which enables ultrahigh speed imaging in the ophthalmology clinic. This new OCT detection scheme measures the spectrum of the backscattered light with a CCD and uses digital processing to reconstruct the backscattering versus depth. Using a high performance femtosecond laser as light source and a high performance, high speed CCD camera as the detector, ultrahigh resolution OCT imaging with <3 um axial resolution can be achieved at high speeds. Axial scans can be performed in only 64 us, compared to 2.5 ms required for conventional OCT. Results: Using this new technology, ultrahigh speed, ultrahigh resolution imaging was performed in the macula and optic disk region of the retina. Ultrahigh speed, ultrahigh resolution OCT imaging can acquire images more than 10x faster than standard OCT. Ultrahigh speed imaging allows motion artefacts to be significantly reduced. High pixel density images with improved image quality can be acquired faster than previously possible. The fine axial image resolution of <3 um achieved by UHR–OCT significantly improves the ability to image retinal architectural morphology over standard 10 um resolution imaging. Ultrahigh speed OCT imaging enables dynamics such as pulsatile movement of the blood vessels to be imaged in real time. Conclusions: Ultrahigh speed, UHR–OCT imaging has been achieved using a new spectral domain detection technology. Ultrahigh axial resolutions significantly improve the ability to visualize the internal architectural morphology of the retina. The ability to scan areas of the macular or optic disk will enable three dimensional data sets to be acquired which can be used to generate topographic maps or arbitrary tomographic viewing planes. The more than 10x improvement in imaging speed promises to enable a wide range of new ophthalmic imaging applications for basic research and clinical diagnosis.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • imaging/image analysis: non–clinical • retina 
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