AUTOMATED SEGMENTATION OF RETINAL LAYERS IN OCT IMAGING AND DERIVED OPHTHALMIC MEASURES

Florence Rossant (1) , Itebeddine Ghorbel (2) , Isabelle Bloch (3) , Michel Paques (4) , Sarah Tick (4)

1 ISEP - Institut Supérieur d'Electronique de Paris
2 BGE - UMR S1038 - Laboratoire de Biologie à Grande Échelle
3 UB - Université de Bordeaux
4 CHNO - Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts

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.

Mots clés: Quantitative evaluation; Automated segmentation; OCT retinal imaging

Domaines: Traitement du signal et de l'image [eess.SP]

Florence Rossant, Itebeddine Ghorbel, Isabelle Bloch, Michel Paques, Sarah Tick. AUTOMATED SEGMENTATION OF RETINAL LAYERS IN OCT IMAGING AND DERIVED OPHTHALMIC MEASURES. ISBI, Jun 2009, Boston, United States. ⟨10.1109/ISBI.2009.5193320⟩. ⟨hal-02882945⟩