Segmentation of retinal vessels in adaptive optics images for assessment of vasculitis

Marthe Lagarrigue-Charbonnier (1) , Florence Rossant (1) , Isabelle Bloch (2) , Marie-Hélène Errera (3) , Michel Paques (3)

1 ISEP - Institut Supérieur d'Electronique de Paris
2 LTCI - Laboratoire Traitement et Communication de l'Information
3 CHNO - Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts

—In this paper we propose a new method for segmenting retinal vessels in adaptive optics images. This method is particularly dedicated for segmenting vessels with significant morphological alterations due to vasculitis, but it is also accurate for vessels with moderate or without alteration. It relies on a pre-segmentation step which is crucial for the robustness and accuracy of the results. This step is based on a specific morphological processing of isolines of the original image: they constitute of good basis for the segmentation because they are disposed along the wall borders of the vessels. Regularization is then performed using active contour model embedding a parallelism constraint. This novel model allows precise segmenting inner and outer walls of the vessel. In particular it is more accurate in the case of vasculitis than the existing methods. This is the only method that allows quantification. The results and the runtime make it suitable for clinical use.

Mots clés: Parallel snakes; isolines; retinal vessels segmentation; vasculitis; adaptive optics imaging

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

Marthe Lagarrigue-Charbonnier, Florence Rossant, Isabelle Bloch, Marie-Hélène Errera, Michel Paques. Segmentation of retinal vessels in adaptive optics images for assessment of vasculitis. IEEE 6th International Conference on Image Processing Theory, Tools and Applications (IPTA'16), Dec 2016, OULU, Finland. pp.1 - 6, ⟨10.1109/IPTA.2016.7821037⟩. ⟨hal-01567288⟩