A comprehensive analysis of vascular morphology and the application of generic models of
vascular biomechanics to specific patients require the ability of extracting a geometrical …

Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …

With the rapid development of multi-detector computed tomography (MDCT), resulting in
increasing temporal and spatial resolution of data sets, clinical use of computed …

A synthesis of the authors' projects in the last decade, in the field of 3D vascular image
processing, is provided. This work was motivated by the following applications: display …

Vascular segmentation has recently been given much attention. This review paper has two
parts. Part I of this review focused on the physics of magnetic resonance angiography (MRA) …

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 …

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 …

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 …

A physics‐based medical image segmentation method is developed. Specifically, the image
greyscale intensity is used to infer the voxel partial volumes and subsequently formulate a …

We propose a novel method for the validation of vascular segmentations. Our technique
combines morphological operators and the STAPLE algorithm to obtain ground truth of …