NDLI: Modeling a parallelism constraint in active contours. Application to the segmentation of eye vessels and retinal layers

Content Provider	IEEE Xplore Digital Library
Author	Ghorbel, I. Rossant, F. Bloch, I. Paques, M.
Copyright Year	2011
Description	Author affiliation: Clinical Investigation Center 503, Centre Hospitalier National des Quinze-Vingts Paris, France (Paques, M.) \|\| Te´le´com ParisTech, CNRS LTCI, Paris, France (Bloch, I.) \|\| ISEP Paris, France (Rossant, F.) \|\| FOVEA Pharmaceuticals Paris, France (Ghorbel, I.)
Abstract	Parametric deformable models are an important technique for image segmentation. In order to improve the robustness of the model, it may be interesting to incorporate a priori information about the shape of the objects to be segmented. In this paper, we propose to add a parallelism constraint. Such a model is relevant in many applications where elongated structures have to be detected. One main advantage of our formulation is that it only needs few parameters to be adjusted in addition to those of traditional snakes. The proposed model has been applied for the segmentation of OCT images of the retina and for the segmentation of retinal vessels. Experimental results, obtained on 25 OCT images and 30 eye fundus images, demonstrated the robustness, flexibility and large potential applicability of this new formulation. The accuracy of the method has been assessed by comparing manual segmentations, made by experts, with the automatic ones.
Starting Page	445
Ending Page	448
File Size	2464617
Page Count	4
File Format	PDF
ISBN	9781457713040
ISSN	15224880
e-ISBN	9781457713033
e-ISBN	9781457713026
DOI	10.1109/ICIP.2011.6116546
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-11
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Mathematical model Equations Retina Parallel processing Manuals Robustness Quantitative Evaluation Active contours Parallelism Retinal vessel segmentation Optical Coherence Tomography Segmentation
Content Type	Text
Resource Type	Article

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