Coupled Parallel Snakes for Segmenting Healthy and Pathological Retinal Arteries in Adaptive Optics Images

Lermé, Nicolas; Rossant, Florence; Bloch, Isabelle; Pâques, Michel; Koch, Edouard

doi:10.1007/978-3-319-11755-3_35

Cited by 7 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is worth noting that the Parallel Double Snakes have been used also for the estimation of vessel diameters in standard photos of the eye fundus [9], and that the model with one curve evolving with respect to a fixed one has been successfully applied for the segmentation of retinal arteries in Adaptive Optics images [28][29][30][31]. Other applications can be anticipated, in different fields (e.g.…”

Section: Resultsmentioning

confidence: 99%

Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects

Rossant

Bloch²,

Ghorbel³

et al. 2015

Pattern Recognition

Self Cite

View full text Add to dashboard Cite

a b s t r a c tIn 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.

show abstract

Section: Resultsmentioning

confidence: 99%

Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects

Rossant

Bloch²,

Ghorbel³

et al. 2015

Pattern Recognition

Self Cite

View full text Add to dashboard Cite

show abstract

“…rteriole (between ood illumination proposed by our semi-automatical oles [10,11]. Our i) detection and flection, (ii) prere relying mostly elineation of the contour model .…”

Section: Arterial Hypertensionmentioning

confidence: 99%

“…Several wn that the severity of ed on fundus photographs incidence of arterial mage such as coronary ine and lacunar stroke. mn of vessels appears as an axial light reflection g both sides of the blood h most likely corresponds Advanced image processing methods were group, allowing automatical or segmentation of parietal structures of arterio approach relies on three main steps: (i accurate localization of the vessel axial re segmentation through a tracking procedur on gradient information, (iii) accurate de arterial walls, based on a new active integrating parallelism information [10]. energy functional, that defines the active makes evolve independently four curves to wall contours assuming that they are almo axial reflection.…”

Section: Arterial Hypertensionmentioning

confidence: 99%

Adaptive optics imaging of retinal microstructures: Image processing for medical applications

Pâques¹,

Rossant²,

Lermé³

et al. 2014

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)

Self Cite

View full text Add to dashboard Cite

Adaptive optics (AO) fundus imaging is an optoelectronic technique allowing an improvement of an order of magnitude of lateral resolution of retinal images. Currently, its main applications in ophthalmology span from photoreceptor to retinal pigment epithelial cells and vessels, each of them being affected by specific diseases. Technological and image processing improvements are expanding the scope of its medical applications. Here we will review some of the current and envisioned applications of AO in clinical practice.Index Terms-adaptive optics retinal imaging, agerelated macular degeneration, photoreceptors, arterial hypertension.

show abstract

“…Then the CPS active contour model [9] is applied to more accurately position the curves found by the pre-segmentation. In this step, the symmetry imposed in (1) is relaxed and the four curves are defined, as illustrated, in Fig.…”

Section: Segmentation Of Vessels Walls and Limitsmentioning

confidence: 99%

“…In our previous work, the segmentation of retinal vessels in Adaptive Optics images (FIAO) focused on the segmentation of arteries in healthy subjects and pathological subjects [8] [9] [10], and was based on two main steps: (i) a pre-segmentation step to initialize the four curves that delineate the parietal wall; (ii) the application of a new parametric snake algorithm integrating structural a priori information, such as the approximate parallelism of the interfaces and/or the approximate symmetry of the parietal wall with respect to the axial reflection. We proposed two models named respectively "parallel snakes" (PS) [8] [9] and "coupled parallel snakes" (CPS) [9]. Both are derived from the classical snakes of [11] but include additional terms in the energy functional in order to integrate structural information and thus gain in robustness and accuracy.…”

Section: Introductionmentioning

confidence: 99%

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

Lagarrigue-Charbonnier

Rossant

Bloch

et al. 2016

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)

Self Cite

View full text Add to dashboard Cite

International audience—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

show abstract

Coupled Parallel Snakes for Segmenting Healthy and Pathological Retinal Arteries in Adaptive Optics Images

Cited by 7 publications

References 8 publications

Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects

Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects

Adaptive optics imaging of retinal microstructures: Image processing for medical applications

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

Contact Info

Product

Resources

About