May 2004
Volume 45, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2004
Ultrahigh Resolution Optical Coherence Tomography Imaging of Architectural Morphology in Retinal Diseases
T.H. Ko; J.G. Fujimoto; J.S. Duker; L.A. Paunescu; A. Chan; W. Drexler; A.H. Rogers; C.R. Baumal; E. Reichel; J.S. Schuman
Author Affiliations & Notes
  • T.H. Ko
    Electrical Engin/Comp Sci, Mass Institute of Technology, Cambridge, MA
  • J.G. Fujimoto
    Electrical Engin/Comp Sci, Mass Institute of Technology, Cambridge, MA
  • J.S. Duker
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • L.A. Paunescu
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • A. Chan
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • W. Drexler
    Institute of Medical Physics, University of Vienna, Vienna, Austria
  • A.H. Rogers
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • C.R. Baumal
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • E. Reichel
    New England Eye Center, Tufts–New England Medical Center, Boston, MA
  • J.S. Schuman
    Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
  • Footnotes
    Commercial Relationships  T.H. Ko, None; J.G. Fujimoto, Carl Zeiss Meditec P; J.S. Duker, None; L.A. Paunescu, None; A. Chan, None; W. Drexler, Carl Zeiss Meditec C; A.H. Rogers, None; C.R. Baumal, None; E. Reichel, None; J.S. Schuman, Carl Zeiss Meditec P.
  • Footnotes
    Support  NIH EY11289–14, EY13178–03, P30–EY13078, NSF ECS–0119452, FWF P14218–PSY, FWF Y159, CRAF–1999–705
Investigative Ophthalmology & Visual Science May 2004, Vol.45, 3012. doi:
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      T.H. Ko, J.G. Fujimoto, J.S. Duker, L.A. Paunescu, A. Chan, W. Drexler, A.H. Rogers, C.R. Baumal, E. Reichel, J.S. Schuman; Ultrahigh Resolution Optical Coherence Tomography Imaging of Architectural Morphology in Retinal Diseases . Invest. Ophthalmol. Vis. Sci. 2004;45(13):3012.

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Abstract

Abstract: : Purpose: To demonstrate the capability of ultrahigh resolution optical coherence tomography (UHR–OCT) in improving visualization of architectural morphology in retinal diseases. To identify retinal pathologies where UHR–OCT yields information on architectural morphology that is not available with standard resolution imaging. Methods: An ultrahigh resolution OCT system has been developed which enables imaging in the ophthalmic clinic using a high performance, femtosecond laser light source. UHR–OCT achieves axial image resolutions of better than 3 um and image sizes of 3000 axial pixels by 600 transverse pixels. Comparative studies are performed using a standard resolution commercial StratusOCT instrument with a 10 um axial resolution. UHR–OCT and standard resolution imaging are performed in the same patients and results correlated with standard ophthalmoscopic clinical examination. Results: In vivo UHR–OCT imaging has been performed in more than 570 eyes of 312 patients with various retinal pathologies. A cross–section of retinal pathologies including various stage macular holes, macular edema, diabetic retinopathy, age–related macular degeneration, epiretinal membrane, central serous chorioretinopathy, retinitis pigmentosa, and glaucoma has been surveyed. Compared to standard resolution OCT, the improved axial resolution of the UHR–OCT enables better visualization of intraretinal architectural morphology such as the retinal nerve fiber layer, ganglion cell layers, and photoreceptor layer. UHR–OCT is especially powerful for visualizing retinal pathologies affecting specific intraretinal layers such as epiretinal membrane, retinitis pigmentosa, early stage macular holes and glaucoma. In addition, UHR–OCT also provides a baseline for interpreting intraretinal features seen with standard resolution OCT. Conclusions: UHR–OCT enables improved visualization of abnormalities in intraretinal morphology. The ability to visualize, at high resolution, small changes in architectural morphology associated with retinal pathology can help to elucidate disease pathogenesis and improve early diagnosis.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • imaging/image analysis: clinical • retina 
© 2004, The Association for Research in Vision and Ophthalmology, Inc., all rights reserved. Permission to republish any abstract or part of an abstract in any form must be obtained in writing from the ARVO Office prior to publication.
Copyright © 2025 Association for Research in Vision and Ophthalmology.
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