Results 1 to 10 of about 580,196 (120)
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans [PDF]
We propose a deep learning-based automatic coronary artery tree centerline tracker (AuCoTrack) extending the vessel tracker by Wolterink (arXiv:1810.03143). A dual pathway Convolutional Neural Network (CNN) operating on multi-scale 3D inputs predicts the direction of the coronary arteries as well as the presence of a bifurcation.
arxiv +1 more source
OBJECTIVES External stents significantly reduce intimal hyperplasia and improve lumen uniformity and flow pattern in saphenous vein grafts (SVG) 1 year after coronary artery bypass grafting.
D. Taggart+8 more
semanticscholar +1 more source
Background Recent studies have reported the association between pericoronary inflammation assessed by pericoronary adipose tissue attenuation (PCATA) on computed tomography angiography and worse outcomes in patients with coronary artery disease.
T. Sugiyama+19 more
semanticscholar +1 more source
Surgical Repair for Anomalous Origin of the Right Coronary Artery from the Pulmonary Artery
Anomalous origin of the right coronary artery from the pulmonary artery (ARCAPA) is a very rare congenital heart defect. Herein, we describe three cases of ARCAPA in an 8 months old, 18 months old, and 4 year old child.
A. Al-Dairy+5 more
semanticscholar +1 more source
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms [PDF]
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
We attempted to characterize the anatomy, function, clinical consequences, and treatment of right‐sided anomalous coronary artery origin from the opposite side (R‐ACAOS).
P. Angelini+5 more
semanticscholar +1 more source
Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms [PDF]
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
The single right coronary artery.
An asymptomatic obese 60-year-old man with an increased cardiovascular risk profile (arterial hypertension and hypercholesterolemia) was checked prior to hip surgery. Resting ECG was normal. Exercise test was not possible.
E. Christiaanse+4 more
semanticscholar +1 more source
MPSeg : Multi-Phase strategy for coronary artery Segmentation [PDF]
Accurate segmentation of coronary arteries is a pivotal process in assessing cardiovascular diseases. However, the intricate structure of the cardiovascular system presents significant challenges for automatic segmentation, especially when utilizing methodologies like the SYNTAX Score, which relies extensively on detailed structural information for ...
arxiv
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network [PDF]
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