Title
Generation of patient-specific cardiac vascular networks: a hybrid image-based and synthetic geometric model.
Abstract
Image-based models derived from CT angiography are being used clinically to simulate blood flow in the coronary arteries of individual patients to aid in the diagnosis of disease and planning treatments. However, image resolution limits vessel segmentation to larger epicardial arteries. The generated model can be used to simulate blood flow and derived quantities from the aorta into the myocardium. This is an important step for diagnosis an treatment planning of coronary artery disease.
Year
DOI
Venue
2019
10.1109/TBME.2018.2865667
IEEE transactions on bio-medical engineering
Keywords
Field
DocType
Vegetation,Forestry,Optimization,Bifurcation,Image segmentation,Arteries,Myocardium
Coronary artery disease,Computer vision,Coronary arteries,Blood flow,Computer science,Geometric modeling,Image segmentation,Artificial intelligence,Image resolution,Aorta,Angiography
Journal
Volume
Issue
ISSN
66
4
1558-2531
Citations 
PageRank 
References 
1
0.36
0
Authors
9
Name
Order
Citations
PageRank
Clara Jaquet110.70
Laurent Najman22365172.20
Hugues Talbot387180.69
Leo Grady4354.17
Michiel Schaap545027.30
Buzzy Spain610.36
Hyun Jin Kim7136.45
Irene E. Vignon-Clementel8235.20
Charles A Taylor9448.12