Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier

JM Wolterink, RW van Hamersvelt, MA Viergever… - Medical image …, 2019 - Elsevier
Coronary artery centerline extraction in cardiac CT angiography (CCTA) images is a
prerequisite for evaluation of stenoses and atherosclerotic plaque. In this work, we propose …

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms

M Schaap, CT Metz, T van Walsum… - Medical image …, 2009 - Elsevier
Efficiently obtaining a reliable coronary artery centerline from computed tomography
angiography data is relevant in clinical practice. Whereas numerous methods have been …

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes

Y Zheng, M Loziczonek, B Georgescu… - Medical Imaging …, 2011 - spiedigitallibrary.org
Automatic coronary centerline extraction and lumen segmentation facilitate the diagnosis of
coronary artery disease (CAD), which is a leading cause of death in developed countries …

Joint coronary centerline extraction and lumen segmentation from ccta using cnntracker and vascular graph convolutional network

R Gao, Z Hou, J Li, H Han, B Lu… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Automatic analysis of coronary artery in coronary computed tomography angiography
(CCTA) is important for clinicians to diagnose and evaluate coronary artery disease (CAD) …

Discriminative coronary artery tracking via 3D CNN in cardiac CT angiography

H Yang, J Chen, Y Chi, X Xie, X Hua - … 13–17, 2019, Proceedings, Part II …, 2019 - Springer
Extraction of the coronary artery centerline from cardiac CT angiography (CCTA) is a
challenging yet prerequisite task for subsequent diagnosis in clinical practice. In this paper …

Multi-resolution 3d convolutional neural networks for automatic coronary centerline extraction in cardiac CT angiography scans

Z Salahuddin, M Lenga… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
We propose a deep learning-based automatic coronary artery tree centerline tracker
(AuCoTrack) extending the vessel work of [1]. A multi-resolution 3D Convolutional Neural …

LIVE-Net: Comprehensive 3D vessel extraction framework in CT angiography

Q Sun, J Yang, S Zhao, C Chen, Y Hou, Y Yuan… - Computers in Biology …, 2023 - Elsevier
The extraction of vessels from computed tomography angiography (CTA) is significant in
diagnosing and evaluating vascular diseases. However, due to the anatomical complexity …

[PDF][PDF] 3D segmentation in the clinic: A grand challenge II-coronary artery tracking

C Metz, M Schaap, T van Walsum… - Insight …, 2008 - researchgate.net
In this paper the Coronary Artery Tracking competition, which was part of the workshop:" 3D
Segmentation in the Clinic: A Grand Challenge II" is described. This workshop was held …

Branch-aware double DQN for centerline extraction in coronary CT angiography

Y Zhang, G Luo, W Wang, K Wang - … Conference, Lima, Peru, October 4–8 …, 2020 - Springer
Accurate coronary artery centerline is essential for coronary stenosis analysis and
atherosclerotic plaque analysis. However, the existence of many branches makes accurate …

CenterlineNet: Automatic coronary artery centerline extraction for computed tomographic angiographic images using convolutional neural network architectures

S Rjiba, T Urruty, P Bourdon… - … on Image Processing …, 2020 - ieeexplore.ieee.org
The prevention of cardiovascular diseases starts by a thorough examination of the coronary
artery vessels for atherosclerotic plaques existence. By combining deep learning …