Endovascular techniques have been embraced as a minimally-invasive treatment approach
within different disciplines of interventional radiology and cardiology. The current practice of …

Objective: Segmentation of anatomical structures in ultrasound images requires vast
radiological knowledge and experience. Moreover, the manual segmentation often results in …

This paper describes an evaluation framework that allows a standardized and quantitative
comparison of IVUS lumen and media segmentation algorithms. This framework has been …

Intravascular ultrasound (IVUS) is a catheter-based medical imaging technique that
produces cross-sectional images of blood vessels and is particularly useful for studying …

Image assessment of the arterial system plays an important role in the diagnosis of
cardiovascular diseases. The segmentation of the lumen and media-adventitia in …

An automated framework for detecting lumen and media–adventitia borders in intravascular
ultrasound images was developed on the basis of an adaptive region-growing method and …

The goal of this study was to show the feasibility of a 2D segmentation fast-marching method
(FMM) in the context of intravascular ultrasound (IVUS) imaging of coronary arteries. The …

Background Atherosclerosis causes millions of deaths, annually yielding billions in
expenses round the world. Intravascular Optical Coherence Tomography (IVOCT) is a …

Medical ultrasound (US) image segmentation and quantification can be challenging due to
signal dropouts, missing boundaries, and presence of speckle, which gives images of …

Background. Optical coherence tomography (OCT) is an innovative imaging technique that
generates high‐resolution intracoronary images. In the last few years, the need for more …