Automatic photoreceptor detection in in-vivo adaptive optics retinal images: statistical validation

Authors:
Kevin Loquin;Isabelle Bloch;Kiyoko Nakashima;Florence Rossant;Pierre-Yves Boelle;Michel Paques
Affiliations:
Institut Telecom - Telecom ParisTech - CNRS LTCI, Paris, France;Institut Telecom - Telecom ParisTech - CNRS LTCI, Paris, France;CIC 503 of the XV-XX Hospital DHOS/INSERM, Paris, France;ISEP, Paris, France;Hôpital Saint-Antoine, Paris, France;CIC 503 of the XV-XX Hospital DHOS/INSERM, Paris, France
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Year:
2012

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Abstract

This article presents a 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 deconvoluted image. This algorithm is validated on a gold standard dataset obtained thanks to manual cones detections made by ophtalmologist physicians.