April 2011
Volume 52, Issue 14
ARVO Annual Meeting Abstract  |   April 2011
Retinal Capillary Network Imaging with Ultrahigh Speed OCT
Author Affiliations & Notes
  • Rainer A. Leitgeb
    Center of Med Phys and Biomed. Eng., Medical University of Vienna, Vienna, Austria
  • Tilman Schmoll
    Center of Biomed Eng and Physics, Medical University Vienna, Vienna, Austria
  • Amardeep S. Singh
    Center of Med Phys and Biomed. Eng., Medical University of Vienna, Vienna, Austria
  • Cedric Blatter
    Center of Med Phys and Biomed. Eng., Medical University of Vienna, Vienna, Austria
  • Footnotes
    Commercial Relationships  Rainer A. Leitgeb, Femtolasers, Inc. (F); Tilman Schmoll, None; Amardeep S. Singh, None; Cedric Blatter, None
  • Footnotes
    Support  FP7-HEALTH EU grant, no. 201880
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 1718. doi:
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    • Get Citation

      Rainer A. Leitgeb, Tilman Schmoll, Amardeep S. Singh, Cedric Blatter; Retinal Capillary Network Imaging with Ultrahigh Speed OCT. Invest. Ophthalmol. Vis. Sci. 2011;52(14):1718.

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

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To visualize comprehensively the retinal capillary network in 3D using high speed optical coherence tomography with high lateral resolution and to analyze the network for healthy and diseased cases.


We employ CMOS equipped ultra-high speed OCT that allows for imaging speeds reaching 160.000 A-scans/sec. A tdensely sampled volume of 500x500x768 pixels is recorded in only 1.5 sec, minimizing transverse motion blurring and preserving the integrity of small structural details. We combine such ultra-high speed system with broadband light source, to achieve as well ultra high axial resolution (1.5 µm in tissue). The capillary network in the parafoveal region is imaged of healthy and diseased subjects using a high-density sampling. We apply then refined image-processing algorithms, based on a probabilistic kernel, in order to segment the capillary network. This gives us the capability to quantify the amount of micro-vascularization per volume for the tissue surrounding the fovea. Having the segmented capillary network at hand, we also employ fractional dimension analysis using a standard sandbox algorithm.


The capillary network as well as the foveal avasculature zone of 3 healthy volunteers has been segmented and the vascular density and the fractional dimension quantitatively analyzed. Since those results are not based on Doppler analysis of phase resolved OCT techniques they are less sensitive to motion artifacts, and in particular are independent of otherwise strict scanning and sampling issues. Moreover they yield high resolution 3D capillary images with a quality, that has not yet been achieved with any other technique.


Comprehensive 3D images of capillary patterns are the basis for analysis of vessel density and vessel tree structure using fractional dimensionality. Since retinal diseases will manifest at an early stage in capillary disorders we believe that such in-vivo studies of capillary details will help for a better understanding as well as early diagnosis of such major retinal diseases  

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • blood supply • retina 

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