Photoreceptor detection in in-vivo Adaptive Optics images of the retina: Towards a simple interactive tool for the physicians

Kevin Loquin (1) , Isabelle Bloch (1) , Kiyoko Nakashima (2) , Florence Rossant , Michel Paques (2)

1 LTCI - Laboratoire Traitement et Communication de l'Information
2 CHNO - Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts

This article presents a novel photoreceptor detection algorithm applied to in-vivo Adaptive Optics (AO) images of the retina obtained from an advanced ophthalmic diagnosis device. Our algorithm is based on a recursive construction of thresholded connected components when the seeds of the recursions are the regional maxima of the image. This algorithm results in a labeling of the AO image which is then used to segment the image with a marker-controlled watershed algorithm. This method has been implemented in a software currently used by medical experts, and preliminary results are very encouraging.

Mots clés: Adaptive Optics; Photoreceptor detection; Retina imaging; In vivo diagnosis

Domaines: Traitement des images [eess.IV]; Optique / photonique

Kevin Loquin, Isabelle Bloch, Kiyoko Nakashima, Florence Rossant, Michel Paques. Photoreceptor detection in in-vivo Adaptive Optics images of the retina: Towards a simple interactive tool for the physicians. ISBI: International Symposium on Biomedical Imaging, Mar 2011, Chicago, IL, United States. ⟨10.1109/ISBI.2011.5872385⟩. ⟨hal-01959833⟩