September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Clinical-grade Adaptive Optics Swept Source Optical Coherence Tomography
Author Affiliations & Notes
  • Myeong Jin Ju
    School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada
  • Sujin Lee
    School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada
  • Morgan Heisler
    School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada
  • Robert J Zawadzki
    Department of Cell Biology and Human Anatomy, University of California Davis, Davis, California, United States
  • Stefano Bonora
    CNR Institute for Photonics and Nanotechnology, Padova, Italy
  • Yifan Jian
    School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada
  • Marinko Venci Sarunic
    School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada
  • Footnotes
    Commercial Relationships   Myeong Jin Ju, None; Sujin Lee, None; Morgan Heisler, None; Robert Zawadzki, None; Stefano Bonora, None; Yifan Jian, None; Marinko Sarunic, None
  • Footnotes
    Support  Brain Canada, National Sciences and Engineering Research Council of Canada, Canadian Institutes of Health Research, Alzheimer Society Canada, Pacific Alzheimer Research Foundation, Michael Smith Foundation for Health Research, Genome British Columbia
Investigative Ophthalmology & Visual Science September 2016, Vol.57, No Pagination Specified. doi:
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      Myeong Jin Ju, Sujin Lee, Morgan Heisler, Robert J Zawadzki, Stefano Bonora, Yifan Jian, Marinko Venci Sarunic; Clinical-grade Adaptive Optics Swept Source Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 201657(12):.

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      © 2017 Association for Research in Vision and Ophthalmology.

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Abstract

Purpose : We present a new instrument that we call clinical-grade adaptive optics swept source optical coherence tomography (CAOSS-OCT) that is compact and capable of visualizing 3D human retinal structure with a high resolution in real-time. To demonstrate its functionality and clinical utility, in vivo retina images of research subjects are presented.

Methods : CAOSS-OCT is capable of depth-resolved high resolution retinal imaging by incorporating an AO system with a high speed OCT engine. A wavelength swept laser with a center wavelength of 1060 nm was used as the OCT light source. In the CAOSS-OCT, two deformable optical elements were employed: a Multi-actuator Adaptive Lens (MAL) for optical aberration correction, and a Variable Focus Lens (VFL) for dynamic focusing. A series of photoreceptor images were acquired with the CAOSS-OCT at different retinal eccentricities with the focus set to the outer retina, and then images of nerve fiber layer were also obtained by interactively adjusting the deformable optical components.

Results : The representative photoreceptor images at ~3 and ~7 degrees from the fovea are shown in the figure (a) and (b), respectively. With aberration correction using MAL, the photoreceptor cones are clearly visualized, and the size difference at the two eccentricities are readily observed; the cone photoreceptors at large eccentricities are larger than the ones closer to the fovea where the cones are more densely packed. In addition to photoreceptor imaging, moving the position of the focus to the inner retinal layers with VFL, the characteristic features of the other retinal layers were also imaged. The figure (c) and (d) are wide-field en face projection images of OPL and NFL acquired with the CAOSS-OCT. In the projection images, the capillary bed in the OPL and the nerve fiber bundles in the NFL are clearly visualized. The figure (e) shows a wide-field cross-sectional image obtained near center of the fovea; the individual photoreceptor segments are resolved while visualizing full thickness of the retina.

Conclusions : Integrating AO with OCT imaging by employing MAL and VFL lenses permits the system design to be compact in size, and well suited for a clinical setting. In combination with GPU-based real-time processing and display of the cross-sectional and en face images, the operational complexity of the system could be reduced while permitted interactive and dynamic high resolution retinal imaging.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

 

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