We present a segmentation method for vessels using an implicit deformable model with a
soft shape prior. Blood vessels are challenging structures to segment due to their branching …

We describean active contour framework with accurate shape and size constraints on the
vessel cross-sectional planes to produce the vessel segmentation. It starts with a multiscale …

This paper proposes a novel approach to segment three dimensional curvilinear structures,
particularly vessels in angiography, by inspecting the symmetry of image gradients. The …

We deal with image segmentation applied to three-dimensional (3D) analysis of of vascular
morphology in magnetic resonance angiography (MRA) images. The main goal of our work …

In this paper we propose a Particle Filter-based propagation approach for the segmentation
of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many …

In this paper, we propose an active contour model using local morphology fitting for
automatic vascular segmentation on 2-D angiogram. The vessel and background are fitted …

The authors' work contributes to the accurate segmentation of blood vessels from 3D
medical images. The blood vessel axis and surface are optimized in an alternating way …

In this paper, a level-set-based geometric regularization method is proposed which has the
ability to estimate the local orientation of the evolving front and utilize it as shape induced …

In this paper, a novel active contour model is proposed for vessel tree segmentation. First,
we introduce a region competition-based active contour model exploiting the Gaussian …

This paper proposes an automatic segmentation method of vasculature that combines level-
sets with an implicit 3D model of the vessels. First, a 3D vessel model from a set of initial …