March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
Age Effects on Retinal Blood Flow Assessed Using Spectral-Domain Optical Coherence Tomography Doppler
Author Affiliations & Notes
  • Firdaus Yusof
    School of Optometry and Vision Sciences, University of Waterloo, Waterloo, Ontario, Canada
    Department of Optometry and Visual Science, International Islamic University of Malaysia, Bandar Indera Mahkota, Kuantan, Malaysia
  • Faryan Tayyari
    School of Optometry and Vision Sciences, University of Waterloo, Waterloo, Ontario, Canada
  • John G. Flanagan
    School of Optometry and Vision Sciences, University of Waterloo, Waterloo, Ontario, Canada
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
  • Christopher Hudson
    School of Optometry and Vision Sciences, University of Waterloo, Waterloo, Ontario, Canada
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
  • Footnotes
    Commercial Relationships  Firdaus Yusof, None; Faryan Tayyari, None; John G. Flanagan, Carl Zeiss Meditec (F), Heidelberg Engineering (F, C); Christopher Hudson, Optovue Inc. (F)
  • Footnotes
    Support  Ontario Research Fund
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 6865. doi:
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      Firdaus Yusof, Faryan Tayyari, John G. Flanagan, Christopher Hudson; Age Effects on Retinal Blood Flow Assessed Using Spectral-Domain Optical Coherence Tomography Doppler. Invest. Ophthalmol. Vis. Sci. 2012;53(14):6865.

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

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Abstract

Purpose: : To determine the impact of healthy aging upon total retinal blood flow as derived by Spectral-Domain, Optical Coherence Tomography Doppler SD-OCT.

Methods: : SD-OCT Doppler blood flow was non-invasively measured using the RTVue system (Optovue Inc., USA). One eye of each of 6 healthy young (mean age 25.7; SD 3.5 years) and 6 healthy elderly (mean age 63.5; SD 1.8 years) subjects was randomly selected for the study and dilated using Mydriacyl 1%. A double circular scanning pattern was employed. A minimum of six separate SD-OCT Doppler measurements (i.e. each separate measurement comprising a superior nasal pupil scan and an inferior nasal pupil scan) were acquired. Total retinal blood flow was calculated, using data from valid scans only, by summing flow from all detectable venules.

Results: : 117 of 170 images (68.82%) were determined to be valid using the DOCTORC software (Centre for Ophthalmic Optics and Lasers, CA, USA). Mean total retinal blood flow for the young group was 44.96±15.59 µl/min, while for the elderly group it was 39.45±13.20 µl/min. Two-sided t-test showed no significant difference between both groups (p=0.52). Linear regression analysis showed no significant correlation between total retinal blood flow and age (r=-0.31, p=0.33).

Conclusions: : Preliminary data acquired using SD-OCT Doppler shows no significant difference in retinal blood flow between a young and elderly group.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • image processing • aging 
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