Intravascular Ultrasound images (IVUS) is a useful guide for medical practitioners to identify
the vascular status of coronary arteries in human beings. IVUS is a unique intracoronary …

Intracoronary imaging is a crucial imaging technology in coronary disease diagnosis as it
visualizes the internal tissue morphologies of coronary arteries. Vessel border detection 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 …

Segmentation of lumen and vessel contours in intravascular ultrasound (IVUS) pullbacks is
an arduous and time-consuming task, which demands adequately trained human resources …

Deep learning (DL) application has demonstrated its enormous potential in accomplishing
biomedical tasks, such as vessel segmentation, brain visualization, and speech recognition …

Background and objective The delineation of the lumen contour and external elastic lamina
(EEL) in intravascular ultrasound (IVUS) images is crucial for the quantitative analysis of …

Intravascular Ultrasound (IVUS) is an intra-operative imaging modality that facilitates
observing and appraising the vessel wall structure of the human coronary arteries …

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 …

Background Intravascular ultrasound (IVUS) provides axial grey-scale images of blood
vessels. The large number of images require automatic analysis, specifically to identify the …

Media-adventitia (MA) border delineates the outer appearance of arterial wall in
intravascular ultrasound (IVUS) image. The detection of MA border is a challenging topic …