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Conference Papers Year : 2009

Automated segmentation of retinal layers in OCT imaging and derived ophthalmic measures

Abstract

This paper proposes an automated method for the segmentation of eight retinal layers in high resolution OCT images. It has been evaluated based on comparison with manual segmentation performed by five different experts. The method has been successfully applied on a database of 72 images. Quantitative measures are then derived as an aid to ophthalmic diagnosis. A good agreement with measures derived from manual segmentation is obtained which allows us to use the proposed method for retinal variability studies.
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Dates and versions

hal-00683523 , version 1 (29-03-2012)

Identifiers

  • HAL Id : hal-00683523 , version 1

Cite

Florence Rossant, Itebeddine Ghorbel, Isabelle Bloch, Michel Paques, Sarah Tick. Automated segmentation of retinal layers in OCT imaging and derived ophthalmic measures. International Symposium on Biomedical Imaging (ISBI'2009), Jun 2009, Boston, United States. pp.1370-1373. ⟨hal-00683523⟩
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