Background and Objective X-ray coronary angiography (XCA) remains the gold standard
imaging technique for the diagnosis and treatment of cardiovascular disease. Automatic …

X-ray coronary angiography is the most common tool for the diagnosis and treatment of
coronary artery disease. It involves the injection of contrast agents into coronary vessels …

An efficient and robust method for identification of coronary arteries and evaluation of the
severity of the stenosis on the routine X-ray angiograms is proposed. It is a challenging …

Abstract Background and Objective Coronary artery segmentation is a fundamental step for
a computer-aided diagnosis system to be developed to assist cardiothoracic radiologists in …

Accurate detection and quantification of coronary artery stenoses is an essential
requirement for treatment planning of patients with suspected coronary artery disease. We …

Automatic detection of coronary stenosis in X-ray angiography data is a challenging
problem. The low contrast between vessels and surrounding tissue, as well as large …

Recently conducted clinical studies prove the utility of Coronary Computed Tomography
Angiography (CCTA) as a viable alternative to invasive angiography for the detection of …

Background The automatic detection of coronary artery stenosis on X-ray images is
important in coronary heart disease diagnosis. Conventional methods cannot accurately …

This paper describes a hybrid algorithm to detect and quantify the coronary artery stenoses
in 3D CT Angiography images. The approach combines the Hessian matrix based …

Coronary artery disease (CAD) is a major threat to human health. In clinical practice, X-ray
coronary angiography remains the gold standard for CAD diagnosis, where the detection of …