Title
Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects
Abstract
In order to segment elongated structures, we propose a new approach for integrating an approximate parallelism constraint in deformable models. The proposed Parallel Double Snakes evolve simultaneously two contours, in order to minimize an energy functional which attracts these contours towards high image gradients and enforces the approximate parallelism between them by controlling their distance to a centerline under regularity constraints of this line. The proposed approach is applied on retina images, for segmenting retinal layers in optical coherence tomography images of pathological subjects (and it applies to healthy subjects as well). Results are evaluated by comparing with manual segmentations for three retinal layers, and provide a similarity index above 0.87, sensitivity between 0.85 and 0.93, and specificity between 0.84 and 0.94. These results are within the range of intra and inter-expert variability. Moreover, quantitative studies demonstrate that, in our application, our Parallel Double Snake (PDS) model outperforms other parametric active contour algorithms integrating parallelism information. HighlightsOriginal segmentation method for elongated structures.Integration of an approximate parallelism constraint in deformable models.Application to retina imaging (retinal layers in OCT for pathological subjects).Results are accurate and within the range of intra and inter-expert variability.
Year
DOI
Venue
2015
10.1016/j.patcog.2015.06.009
Pattern Recognition
Keywords
Field
DocType
Parametric active contours,Double snakes,Approximate parallelism,Optical coherence tomography,Retinal layers
Active contour model,Computer vision,Optical coherence tomography,Pattern recognition,Retina,Computer science,Segmentation,Parametric statistics,Artificial intelligence,Energy functional,Retinal
Journal
Volume
Issue
ISSN
48
12
0031-3203
Citations 
PageRank 
References 
10
0.77
20
Authors
4
Name
Order
Citations
PageRank
Florence Rossant113315.22
Isabelle Bloch22123170.75
Itebeddine Ghorbel3413.44
Michel Pâques4182.27