Tubular structure segmentation in medical images, eg, segmenting vessels in CT scans,
serves as a vital step in the use of computers to aid in screening early stages of related …

This paper explores the point set representation for tubular structure extraction tasks.
Compared with the traditional mask representation, the point set representation enjoys its …

Accurate segmentation of long and thin tubular structures is required in a wide variety of
areas such as biology, medicine, and remote sensing. The complex topology and geometry …

Cylindrical organs, eg, blood vessels, airways, and intestines, are ubiquitous structures in
biomedical optical imaging analysis. Image segmentation of these structures serves as a …

The availability of digital twins for the cardiovascular system will enable insightful
computational tools both for research and clinical practice. This, however, demands robust …

Purpose The shape and size of the aortic lumen can be associated with several aortic
diseases. Automated computer segmentation can provide a mechanism for extracting the …

The structural information of coronary arteries has important clinical value for quantitative
diagnosis and treatment of coronary artery disease. In this study, a deep feature regression …

This work presents an automatic method to segment the aortic lumen in computed
tomography scans by combining an ellipse-based structure of the artery and an active …

Analysis of mechanical behavior in blood flow is a relevant topic for many diseases. Wall
Shear Stress (WSS) in aorta has been related to aneurysm formation. The study of this topic …

In this paper we propose a multiscale parametric snake model for ellipse motion estimation
across a sequence of images. We use a robust ellipse parameterization based on the …