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

Visualization in Medicine is the first book on visualization and its application to problems in
medical diagnosis, education, and treatment. The book describes the algorithms, the …

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 …

We describe a pipeline of image processing steps for deriving symbolic models of vascular
structures from radiological data which reflect the branching pattern and diameter of vessels …

This paper proposes a hybrid approach with the integration of a pre-processing and a post-
processing technique to examine Magnetic Resonance Angiography (MRA) images. In pre …

Current magnetic resonance imaging (MRI) technology allows the determination of patient-
individual coronary tree structure, detection of infarctions, and assessment of myocardial …

We introduce a new approach for 3-D segmentation and quantification of vessels. The
approach is based on a 3-D cylindrical parametric intensity model, which is directly fitted to …

We present a novel approach to the coarse segmentation of tubular structures in three-
dimensional (3-D) image data. Our algorithm, which requires only few initial values and …

A method is introduced to automatically find the coronary axis based on two or more user‐
defined points, even in the presence of a severe stenosis. The coronary axis is determined …

Recent, rapid advances in mathematical engineering and applied mathematics have
opened the door to solving complex problems in angiography imaging. For the first time, this …