AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms [PDF]
, 2023 Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD). Inspired by the training procedure of interventional cardiologists for interpreting the structure of coronary ...
arxiv +1 more source
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network [PDF]
, 2023 Coronary artery disease (CAD) is one of the primary causes leading deaths worldwide. The presence of atherosclerotic lesions in coronary arteries is the underlying pathophysiological basis of CAD, and accurate extraction of individual arterial branches using invasive coronary angiography (ICA) is crucial for stenosis detection and CAD diagnosis.
arxiv +1 more source
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling [PDF]
arXiv, 2023 Coronary artery disease (CAD) is one of the primary causes leading to death worldwide. Accurate extraction of individual arterial branches on invasive coronary angiograms (ICA) is important for stenosis detection and CAD diagnosis. However, deep learning-based models face challenges in generating semantic segmentation for coronary arteries due to the ...
arxiv
Wall Shear Stress Analysis in Stenosed Carotid Arteries with Different Shapes of Plaque [PDF]
International Journal of Computer Applications, Volume 145, No.4,
July 2016, 2017 Atherosclerosis is a disease caused due to formation of plaque into the artery. Increase in plaque affects the wall shear stress. The present study is performed to calculate wall shear stress in different geometries of stenosed carotid artery. A 2D model of different geometries is generated using CFD for Non- Newtonian model.
arxiv +1 more source
Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms [PDF]
, 2022 Accurate extraction of coronary arteries from invasive coronary angiography (ICA) is important in clinical decision-making for the diagnosis and risk stratification of coronary artery disease (CAD). In this study, we develop a method using deep learning to automatically extract the coronary artery lumen. Methods.
arxiv +1 more source
Multiscale Mechanical Behavior of Large Arteries [PDF]
Encyclopedia of Biomedical Engineering, Elsevier, pp.180-202, 2019, 2019 The mechanical integrity of arteries is of prime importance, for a proper oxygen and nutrients delivery to all organs. To optimize their mechanical properties, healthy arteries exhibit a complex hierarchical microstructure which ensures a sufficient compliance at low stresses and which stiffens at higher stresses, preventing over-dilatation.
arxiv +1 more source
Detection and localization of Coronary Arterial Lesion with the Aid of Impedance Cardiography [PDF]
arXiv, 2020 In recent years, coronary artery disease is escalating and is likely to assume an epidemic proportion by 2030. Currently the reliable methods for detection of coronary arterial lesions are either conventional coronary angiogram (CAG) or MDCT (Multiple Detector Computed Tomography) coronary angiogram.
arxiv
Classification of Pressure Gradient of Human Common Carotid Artery and Ascending Aorta on the Basis of Age and Gender [PDF]
International Journal of computer Applications, Volume 145, No.1,
July 2016, 2017 The current work is done to see which artery has more chance of having cardiovascular diseases by measuring value of pressure gradient in the common carotid artery (CCA) and ascending aorta according to age and gender. Pressure gradient is determined in the CCA and ascending aorta of presumed healthy volunteers, having age between 10 and 60 years.
arxiv +1 more source
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network [PDF]
arXiv, 2023 Segmentation of the coronary artery is an important task for the quantitative analysis of coronary computed tomography angiography (CCTA) images and is being stimulated by the field of deep learning. However, the complex structures with tiny and narrow branches of the coronary artery bring it a great challenge.
arxiv
Integrated Freeway Traffic Control Using Q-Learning with Adjacent Arterial Traffic Considerations [PDF]
arXiv, 2023 Numerous studies have shown the effectiveness of intelligent transportation system techniques such as variable speed limit (VSL), lane change (LC) control, and ramp metering (RM) in freeway traffic flow control. The integration of these techniques has the potential to further enhance the traffic operation efficiency of both freeway and adjacent ...
arxiv