Despite continuous progress in X-ray angiography systems, X-ray coronary angiography is
fundamentally limited by its 2D representation of moving coronary arterial trees, which can …

We present a multi-stage neural network approach for 3D reconstruction of coronary artery
trees from uncalibrated 2D X-ray angiography images. This method uses several binarized …

Objective Assessment of coronary stenosis severity is crucial in clinical practice. This study
proposes a novel method to generate 3D models of stenotic coronary arteries, directly from …

Three-dimensional (3-D) reconstruction of the coronary artery is important for the diagnosis
and interventional treatment of cardiovascular diseases. In this paper, a novel mean …

Purpose The purpose of this work is to present a new method for reconstructing patient-
specific three-dimensional (3D) vasculature of the brain from a pair of digital subtraction …

Vascular tracking of coronary angiographic image sequences is one of the most clinically
important tasks in the diagnostic assessment and interventional guidance of cardiac …

X-ray angiography is the most commonly used imaging modality for the detection of
coronary stenoses due to its high spatial and temporal resolution of lumen contour and its …

Despite a lot of progress in the fields of medical imaging and modeling, problem of
estimating the risk of in-stent restenosis and monitoring the progress of the therapy following …

Abstract Automated three-dimensional (3D) blood vessel reconstruction to improve vascular
diagnosis and therapeutics is a challenging task in which the real-time implementation of …

Post-injection fuel dribble is known to lead to incomplete atomisation and combustion due to
the release of slow-moving, and often surface-bound, liquid fuel after the end of injection …