Vessel segmentation as a component of medical image processing is the prerequisite for
accurate diagnosis of vascular-related diseases. Manual delineation of blood vessels has …

Digital topology and geometry refers to the use of topologic and geometric properties and
features for images defined in digital grids. Such methods have been widely used in many …

Accurate coronary artery segmentation is a fundamental step in various medical imaging
applications such as stenosis detection, 3D reconstruction and cardiac dynamics assessing …

The analysis of thin curvilinear objects in 3D images is a complex and challenging task. In
this article, we introduce a new, non-linear operator, called RORPO (Ranking the Orientation …

Cerebrovascular segmentation from time-of-flight magnetic resonance angiography (TOF-
MRA) data is of great importance in blood supply structure analysis, diagnosis, and …

Curvilinear object segmentation is a paramount step for many applications ranging from
medical to aerial image processing. In particular, vessel segmentation in retinal images …

Tunnel lining (bare-lining) cross-sections play an important role in analyzing deformations of
tunnel linings. The goal of this paper is to develop an automatic method for extracting bare …

Positron Emission Tomography (PET) using 18 F-FDG is recognized as the modality of
choice for lymphoma, due to its high sensitivity and specificity. Its wider use for the detection …

Visualization of cerebral blood vessels is vital for stroke diagnosis and surgical planning. A
suitable modality for the visualization of blood vessels is very important for the analysis of …

The location of building boundary is a crucial prerequisite for geographical condition
monitoring, urban management, and building reconstruction. This paper presents a …