DocumentCode :
1459415
Title :
Pulmonary organs analysis for differential diagnosis based on thoracic thin-section CT images
Author :
Tozaki, T. ; Kawata, Y. ; Niki, N. ; Ohmatsu, H. ; Kakinuma, R. ; Eguchi, K. ; Kaneko, M. ; Moriyama, N.
Author_Institution :
Dept. of Opt. Sci., Tokushima Univ., Japan
Volume :
45
Issue :
6
fYear :
1998
fDate :
12/1/1998 12:00:00 AM
Firstpage :
3075
Lastpage :
3082
Abstract :
The pulmonary organs have a very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it is difficult for a medical doctor to understand the spatial relationships among a tumor and the pulmonary organs. Here, the authors present a 3D image analysis method of the pulmonary organs based on thin-section CT images. First, they extract the regions of interest using Gaussian curvature and mean curvature of lung field, then they classify the bronchus and the blood vessels, and they conclude with the identification of the pulmonary artery and the pulmonary vein. The authors use this method to support a differential diagnosis of lung cancer by making quantitative analysis of abnormal nodules
Keywords :
blood vessels; cancer; computerised tomography; image classification; lung; medical image processing; tumours; Gaussian curvature; abnormal nodules; bronchus; differential diagnosis; lung cancer; medical diagnostic imaging; pulmonary artery; pulmonary organs analysis; pulmonary vein; regions of interest extraction; thoracic thin-section CT images; Arteries; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Image analysis; Lungs; Medical diagnostic imaging; Neoplasms; Veins;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.737667
Filename :
737667
Link To Document :
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