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 …

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 …

Vascular diseases are among the most important public health problems in developed
countries. Given the size and complexity of modern angiographic acquisitions, segmentation …

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

Patient-specific hemodynamic technology has been applied in clinical applications.
However, the process of vessel segmentation was insufficiently validated. In order to confirm …

Though providing vital means for the visualization, diagnosis, and quantification of decision‐
making processes for the treatment of vascular pathologies, vascular segmentation remains …

We present an analysis framework to assess the quality and accuracy of vessel
segmentation algorithms for three dimensional images. We generate synthetic (in silico) …

In this paper, a robust and semi‐automatic modelling pipeline for blood flow through subject‐
specific arterial geometries is presented. The framework developed consists of image …

This paper proposes a vessel active contour model based on local intensity weighting and a
vessel vector field. Firstly, the energy function we define is evaluated along the evolving …

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 …