A new 3D segmentation method based on the level set technique is proposed. The main
contribution is a robust evolutionary model that requires no fine tuning of parameters. A …

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 …

A new segmentation scheme is proposed for 3D vascular tree delineation in CTA data sets,
which has two essential features. First, the segmentation is carried out locally in a small …

In this article, we use a level set-based segmentation algorithm to extract the vascular tree
from magnetic resonance angiography (MRA) data sets. The classification approach …

The paper presents a method aimed at segmentation of a vascular network in 3D medical
data. The method implements an extended version of a vesselness function that considers …

Vessel segmentation has always been a considerable challenge task due to the presence of
varying thickness of the vessels and weak contrasts of medical image intensities. In this …

Vascular segmentation plays an important role in medical image analysis. A novel technique
for the automatic extraction of vascular trees from 2D medical images is presented, which …

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 …

Vascular disease is the leading cause of death in the developed world (Benjamin et al.
2018). There is a wide body of evidence demonstrating that the geometric structure and …

Background Intensity inhomogeneity occurs in many medical images, especially in vessel
images. Overcoming the difficulty due to image inhomogeneity is crucial for the …