Paper Info
Title
A Method for Automated Extraction of Aorta and Pulmonary Artery in the Mediastinum Using Medial Line Models from 3D Chest X-ray CT Images without Contrast Materials
Abstract
This paper proposes a new method of automated extraction of aorta and pulmonary artery (PA) areas in the mediastinum from uncontrasted 3D chest X-ray CT images. The proposed method does not extract contours of these blood vessels directly, but extracts the medial line of each vessel and recovers each vessel area. First, the process performs edge detection based on the local standard deviation to get edge areas of vessels. Second, the Euclidean distance transformation is applied for non-edge areas and the likelihood image of the center of vessels is obtained. Medial line models are deformed basing upon the likelihood image so as to be fit to the center of each artery. The aorta and the PA areas are obtained by applying the reverse distance transformation to medial lines extracted above. We appliedthe proposed method to seven cases of uncontrasted 3D chest X-ray CT images. The experimental results showed that the aorta and the PA areas could be extracted satisfactorily.
Year
DOI
Venue
2002
10.1109/ICPR.2002.1047847
ICPR
Keywords
Field
DocType
blood vessels,computerised tomography,edge detection,image segmentation,lung,medical image processing,3D chest X-ray CT images,Euclidean distance transform,aorta,automated extraction,blood vessels,edge detection,likelihood image,local standard deviation,medial line models,mediastinum,pulmonary artery,reverse distance transformation,uncontrasted images
Nuclear medicine,Artery,Computer vision,Pulmonary artery,Medical imaging,Edge detection,Computer science,Euclidean distance,Image segmentation,Artificial intelligence,Aorta,Mediastinum
Conference
Volume
ISSN
ISBN
3
1051-4651
0-7695-1695-X
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Takayuki Kitasaka152067.91
Kensaku Mori21125160.28
Jun-ichi Hasegawa322161.17
Jun-ichiro Toriwaki4578136.04