March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
High Resolution Adaptive Optics Imaging Compliments Standard SD-OCT Imaging in Macular Diseases
Author Affiliations & Notes
  • Gibran S. Khurshid
    Ophthalmology & Visual Sciences,
    Univ of Texas Medical Branch, Galveston, Texas
  • Adam Boretsky
    Ctr for Biomed Engineering, Univ of Texas Medical Branch, Houston, Texas
  • Praveena Gupta
    Ophthalmology & Visual Sciences,
    Univ of Texas Medical Branch, Galveston, Texas
  • Cynthia Tung
    Ophthalmology & Visual Sciences,
    Univ of Texas Medical Branch, Galveston, Texas
  • Bernard F. Godley
    Ophthal & Visual Sciences,
    Univ of Texas Medical Branch, Galveston, Texas
  • Massoud Motamedi
    Ophthalmology and Visual Sciences,
    Univ of Texas Medical Branch, Galveston, Texas
  • Erik F. van Kuijk
    Ophthalmology MMC 493, Univ of Minnesota, Minneapolis, Minnesota
  • Footnotes
    Commercial Relationships  Gibran S. Khurshid, None; Adam Boretsky, None; Praveena Gupta, None; Cynthia Tung, None; Bernard F. Godley, None; Massoud Motamedi, None; Erik F. van Kuijk, None
  • Footnotes
    Support  RPB
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 5648. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Gibran S. Khurshid, Adam Boretsky, Praveena Gupta, Cynthia Tung, Bernard F. Godley, Massoud Motamedi, Erik F. van Kuijk; High Resolution Adaptive Optics Imaging Compliments Standard SD-OCT Imaging in Macular Diseases. Invest. Ophthalmol. Vis. Sci. 2012;53(14):5648.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose: : To evaluate the architecture of the photoreceptor layer using adaptive optics imaging and to compare its clinical application over standard diagnostic tools in evaluating macular diseases.

Methods: : We examined patients with macular hole, cone dystrophy and retinal pigment epithelitis (Krill’s disease). Visual acuity and color fundus pictures were taken and posterior segment was examined with Heidelberg Spectralis TM SD-OCT using high speed scans (40 kHz/s, axial resolution 7.0 um). Patients were subjected to additional imaging on a custom built multi-modal Adaptive optics-SLO utilizing a super luminescent diode (SLD) centered at 830 nm with a bandwidth of 62 nm to obtain high resolution reflectance images of the retinal photoreceptor mosaic in the macular region. The images were registered to create a large photoreceptor mosaic and were averaged to improve the overall signal to noise ratio. The AO-SLO mosaic was correlated with clinical OCT scans and fundus photographs.

Results: : Morphological damage was detected at the single photoreceptor level using the AO-SLO that corresponded with abnormalities seen on standard OCT scans and fundus photographs. In the macular hole patient, AO-SLO imaging assessed the integrity of the cone photoreceptor mosaic before and after surgical repair. In rod-cone dystrophy, the adaptive optics imaging showed irregular rod-cone packing density along with the loss of cone cells in the macular region in both eyes of the patient when compared to the healthy adjacent zones. It is highly significant because clinical picture was simulating age related macular degeneration. In Krill’s disease, the disruption in the RPE layer was seen in SD-OCT slightly temporal to the fovea. AO system depicted changes in the mosaic pattern of the photoreceptor layer with areas of low packing density and dark regions of photoreceptor cell loss.

Conclusions: : The adaptive optics can evaluate changes in the photoreceptor layer at a very high resolution that are currently undetectable by standard diagnostic methods. A combination of adaptive optics scanning laser ophthalmoscopy (AO-SLO) and SD-OCT provided complimentary views of the retina with enhanced lateral and axial resolution. Such heightened resolution of the retina may provide insights in early detection, prognosis and management of patients with vision threatening macular diseases.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • photoreceptors: visual performance • macula/fovea 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×