Title
Model-based morphological segmentation and labeling of coronary angiograms.
Abstract
A method for extraction and labeling of the coronary arterial tree (CAT) using minimal user supervision in single-view angiograms is proposed. The CAT structural description (skeleton and borders) is produced, along with quantitative information for the artery dimensions and assignment of coded labels, based on a given coronary artery model represented by a graph. The stages of the method are: (1)...
Year
DOI
Venue
1999
10.1109/42.811312
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Labeling,Arteries,Skeleton,Biomedical informatics,Biomedical imaging,Medical diagnostic imaging,Coronary arteriosclerosis,Image segmentation,Angiography,Educational technology
Graph theory,Computer vision,Edge detection,Segmentation,Image processing,Feature extraction,Image segmentation,Matching (graph theory),Pixel,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
18
10
0278-0062
Citations 
PageRank 
References 
30
3.22
22
Authors
6
Name
Order
Citations
PageRank
K. Haris129218.33
SERAFIM N. EFSTRATIADIS2407.54
N. Maglaveras39713.51
J. Gourassas4343.77
J Gourassas5535.87
G. Louridas69712.91