This paper presents a simple and fast algorithm to extract the skeleton of vascular structures from segmented vessel
datasets. Our algorithm is based on a step by step approach to move a small volume of interest along the vessel tree.
With the introduction of Signed Distance Function (SDF), the moving sphere along the vessel tree can easily and
automatically detect bifurcations and predict the location of next axis point. Some experiments have been carried out to
demonstrate the strengths of our proposed method.
Visualization and reconstruction of blood vessel from standard medical datasets play an important role in many
clinical situations. This paper presents a survey on the visualization and reconstruction of vascular structures. Firstly, the
visualization techniques of vasculatures are introduced, which includes volume rendering and surface rendering of
vasculatures. Then, we focus on the reconstruction techniques of vascular structures, which can be classified into two
categories: explicit reconstruction and implicit reconstruction of vascular structures. With reconstructed vascular
geometry, it is quite easy to produce smooth visualization of vessel surfaces. In addition, finding the accurate geometric
representation of vascular structures is crucial in developing computer aided vascular surgery systems.