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Segmentation of retinal arterial bifurcations in 2D adaptive optics ophtalmoscopy images

Iyed Trimeche Florence Rossant Isabelle Bloch 1, 2 M. Pâques
1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
2 IDS - Département Images, Données, Signal
Résumé : The study of vascular morphometry requires segmenting vessels with high precision. Of particular clinical interest is the morphometric analysis of arterial bifurcations in Adaptive Optics Ophthalmoscopy (AOO) images of eye fundus. In this paper, we extend our previous approach for segmenting retinal vessel branches to the segmentation of bifurcations. This enables us to recover the microvascular tree and extract biomarkers that charactarize the blood flow. Segmentation results are shown to be within the range of intra- and inter-user variability, allowing a preliminary study on biomarkers derived from vessel diameter estimates at arterial bifurcations.
Mots-clés : Active contours segmentation retinal arterial bifurcations adaptive optics ophthalmoscopy images.
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Conference papers
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https://hal.telecom-paris.fr/hal-02288065
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 5:38:45 PM
Last modification on : Tuesday, September 21, 2021 - 2:16:04 PM

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  • HAL Id : hal-02288065, version 1

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LTCI | PARISTECH | INSTITUT-TELECOM | IDS | IMAGES

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Iyed Trimeche, Florence Rossant, Isabelle Bloch, M. Pâques. Segmentation of retinal arterial bifurcations in 2D adaptive optics ophtalmoscopy images. IEEE International Conference on Image Processing, 2019, Taipei, Taiwan. pp.1490-1494. ⟨hal-02288065⟩

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