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