April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Real-time acquisition and display of flow contrast in macula and ONH with speckle variance OCT
Author Affiliations & Notes
  • Jing Xu
    Engineering Science, Simon Fraser University, Burnaby, BC, Canada
  • Sherry Han
    Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
  • Michelle Cua
    Engineering Science, Simon Fraser University, Burnaby, BC, Canada
  • Mei Young
    Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
  • Andrew Merkur
    Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
  • Andrew Kirker
    Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
  • David Albiani
    Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
  • Farzin Forooghian
    Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
  • Paul Mackenzie
    Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
  • Marinko V Sarunic
    Engineering Science, Simon Fraser University, Burnaby, BC, Canada
  • Footnotes
    Commercial Relationships Jing Xu, None; Sherry Han, None; Michelle Cua, None; Mei Young, None; Andrew Merkur, None; Andrew Kirker, None; David Albiani, None; Farzin Forooghian, None; Paul Mackenzie, None; Marinko Sarunic, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 220. doi:
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      Jing Xu, Sherry Han, Michelle Cua, Mei Young, Andrew Merkur, Andrew Kirker, David Albiani, Farzin Forooghian, Paul Mackenzie, Marinko V Sarunic; Real-time acquisition and display of flow contrast in macula and ONH with speckle variance OCT. Invest. Ophthalmol. Vis. Sci. 2014;55(13):220.

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

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Abstract
 
Purpose
 

The purpose of this study is to investigate speckle variance Optical Coherence Tomography (svOCT) as a non-invasive tool for real time visualization of retinal blood flow in human subjects, in both the macula and optic nerve head (ONH).

 
Methods
 

A custom 1060nm swept source OCT system was used in combination with a GPU accelerated processing platform for real-time acquisition, svOCT processing and en-face display of flow contrast in the retina. The flow contrast data were calculated as the variance of OCT intensity data. The en-face projection views of flow were generated from up to three selected depth regions, and superimposed into a single RGB image with colour-coded depth. Data acquisition for svOCT data required 2.7s per volume (volume size of 1024*300*900 pixels), but the display was continuously updated during acquisition.

 
Results
 

Our system permits real-time processing and display of flow contrast with svOCT for visualization of microvasculature in multi-layer en-face OCT volumes. In Fig 1, intensity based (a) and flow contrast images (b) of the ONH from a healthy human subject are shown, emphasizing the blood vessels relative to the laminar pores. A flow contrast en-face svOCT image in the fovea from a healthy human subject is shown in (c), and from a diabetic patient with active proliferative diabetic retinopathy is shown in (d) revealing the locations of microaneurysms (a few are indicated by the yellow arrows) comparable to results obtained with fluorescein angiography on record.

 
Conclusions
 

We demonstrated a non-invasive svOCT imaging tool for simultaneous visualization of structural OCT images as well as the en-face flow contrast. Real time svOCT has potential for clinical imaging of retina and ONH for diseases affecting the microvasculature.

 
 
Fig 1: Intensity (a) and svOCT (b-d) images acquired in vivo.
 
Fig 1: Intensity (a) and svOCT (b-d) images acquired in vivo.
 
Keywords: 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • 585 macula/fovea • 577 lamina cribrosa  
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