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Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images.

Publication ,  Journal Article
Cunefare, D; Cooper, RF; Higgins, B; Katz, DF; Dubra, A; Carroll, J; Farsiu, S
Published in: Biomedical optics express
May 2016

Quantitative analysis of the cone photoreceptor mosaic in the living retina is potentially useful for early diagnosis and prognosis of many ocular diseases. Non-confocal split detector based adaptive optics scanning light ophthalmoscope (AOSLO) imaging reveals the cone photoreceptor inner segment mosaics often not visualized on confocal AOSLO imaging. Despite recent advances in automated cone segmentation algorithms for confocal AOSLO imagery, quantitative analysis of split detector AOSLO images is currently a time-consuming manual process. In this paper, we present the fully automatic adaptive filtering and local detection (AFLD) method for detecting cones in split detector AOSLO images. We validated our algorithm on 80 images from 10 subjects, showing an overall mean Dice's coefficient of 0.95 (standard deviation 0.03), when comparing our AFLD algorithm to an expert grader. This is comparable to the inter-observer Dice's coefficient of 0.94 (standard deviation 0.04). To the best of our knowledge, this is the first validated, fully-automated segmentation method which has been applied to split detector AOSLO images.

Duke Scholars

Published In

Biomedical optics express

DOI

EISSN

2156-7085

ISSN

2156-7085

Publication Date

May 2016

Volume

7

Issue

5

Start / End Page

2036 / 2050

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 3212 Ophthalmology and optometry
  • 0912 Materials Engineering
  • 0205 Optical Physics
 

Citation

APA
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ICMJE
MLA
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Cunefare, D., Cooper, R. F., Higgins, B., Katz, D. F., Dubra, A., Carroll, J., & Farsiu, S. (2016). Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images. Biomedical Optics Express, 7(5), 2036–2050. https://doi.org/10.1364/boe.7.002036
Cunefare, David, Robert F. Cooper, Brian Higgins, David F. Katz, Alfredo Dubra, Joseph Carroll, and Sina Farsiu. “Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images.Biomedical Optics Express 7, no. 5 (May 2016): 2036–50. https://doi.org/10.1364/boe.7.002036.
Cunefare D, Cooper RF, Higgins B, Katz DF, Dubra A, Carroll J, et al. Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images. Biomedical optics express. 2016 May;7(5):2036–50.
Cunefare, David, et al. “Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images.Biomedical Optics Express, vol. 7, no. 5, May 2016, pp. 2036–50. Epmc, doi:10.1364/boe.7.002036.
Cunefare D, Cooper RF, Higgins B, Katz DF, Dubra A, Carroll J, Farsiu S. Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images. Biomedical optics express. 2016 May;7(5):2036–2050.
Journal cover image

Published In

Biomedical optics express

DOI

EISSN

2156-7085

ISSN

2156-7085

Publication Date

May 2016

Volume

7

Issue

5

Start / End Page

2036 / 2050

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 3212 Ophthalmology and optometry
  • 0912 Materials Engineering
  • 0205 Optical Physics