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Improved visualisation of choroidal neovascularisation by scanning laser ophthalmoscope using image averaging
  1. D U Bartsch1,
  2. M H El-Bradey2,
  3. A El-Musharaf3,
  4. W R Freeman1
  1. 1Jacobs Retina Center, Department of Ophthalmology, University of California San Diego, CA, USA
  2. 2Faculty of Medicine, Tanta University, Egypt
  3. 3Toronto, Canada
  1. Correspondence to: D U Bartsch PhD, UCSD Jacobs Retina Center, Department of Ophthalmology, University of California San Diego, 9415 Campus Point Drive, La Jolla, CA 92093-0946, USA; dbartschucsd.edu

Abstract

Aims: To improve visualisation of angiographic features in patients with age related macular degeneration associated with choroidal neovascularisation (CNV) and related complications. To evaluate if image averaging can achieve this goal.

Methods: 27 eyes of 20 sequential patients with age related macular degeneration over a 3 month period were studied. Indocyanine green angiograms (ICGA), fluorescein angiograms (FA), and oral fluorescein angiograms were recorded with a confocal scanning laser ophthalmoscope. Software was used to average multiple images from a 10–20 image series (over 0.5–1.0 seconds). Image quality was assessed by two masked observers and graded on a scale of 0–3. A more quantifiable grading method was devised by adding a variable amount of Gaussian noise to the improved image until the original and image averaged image appeared equal.

Results: Masked review showed mild to strong improvement of visualisation of structures including borders of CNV. Improvement varied depending on the type and phase of the angiogram. Improvement was highest in late phase FA, mid and late phase ICGA, and all phases of oral FA.

Conclusion: Image averaging using software based algorithms improves the quality of angiographic images, particularly late ICGA images and oral FAs. This method may assist in the visualisation of choroidal neovascularisation in age related macular degeneration.

  • AMD, age related macular degeneration
  • CNV, choroidal neovascularisation
  • FA, fluorescein angiography
  • FOV, field of view
  • HRA, Heidelberg retina angiograph
  • ICGA, indocyanine green angiography
  • IV, intravenous
  • RPE, retinal pigment epithelium
  • SLO, scanning laser ophthalmoscope
  • SNR, signal to noise ratio
  • scanning laser ophthalmoscope
  • image averaging
  • image processing
  • age related macular degeneration
  • choroidal neovascularisation
  • AMD, age related macular degeneration
  • CNV, choroidal neovascularisation
  • FA, fluorescein angiography
  • FOV, field of view
  • HRA, Heidelberg retina angiograph
  • ICGA, indocyanine green angiography
  • IV, intravenous
  • RPE, retinal pigment epithelium
  • SLO, scanning laser ophthalmoscope
  • SNR, signal to noise ratio
  • scanning laser ophthalmoscope
  • image averaging
  • image processing
  • age related macular degeneration
  • choroidal neovascularisation
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Footnotes

  • Sponsor details/grant support: This study was sponsored in part by a grant from the National Eye Institute NIH-NEI grant #EY13304 (DUB) and NIH grant #EY07366 (WRF) and Research to Prevent Blindness (UCSD).

  • Competing interests: The UCSD Shiley Eye Center has received unrestricted research support from Heidelberg Engineering, a company that makes the confocal scanning laser ophthalmoscope used in this study.

  • Ethics approval: The Human Research Protection Program at UCSD has reviewed and approved this study.

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