DocumentCode :
2813822
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. ; Kaneko, M. ; Eguchi, K. ; Moriyama, N.
Author_Institution :
Dept. of Opt. Sci., Tokushima Univ., Japan
Volume :
2
fYear :
1997
fDate :
9-15 Nov 1997
Firstpage :
1332
Abstract :
The pulmonary organs have a very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it can be difficult for a even medical doctor to understand the spatial relationships among the tumor and the pulmonary organs. Here, the authors present a 3D image analysis method of the pulmonary organs using thin-section CT images, and they apply this system to determine the malignant or benign nature of the abnormal module. This system consists of two steps. The first step is the analysis of the pulmonary structure, and the second step is the quantitative analysis of the spatial relationship among the classified pulmonary organs and the abnormal nodule for the differential diagnosis of the lung cancer
Keywords :
computerised tomography; lung; medical image processing; abnormal nodule; benign nature; bronchus; differential diagnosis; lung cancer; malignant nature; medical diagnostic imaging; pulmonary artery; pulmonary organs analysis; pulmonary vein; spatial relationships; thoracic thin-section CT images; tumor; Arteries; Biomedical imaging; Biomedical optical imaging; Cancer; Computed tomography; Hospitals; Image analysis; Lung neoplasms; Marine vehicles; Veins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium, 1997. IEEE
Conference_Location :
Albuquerque, NM
ISSN :
1082-3654
Print_ISBN :
0-7803-4258-5
Type :
conf
DOI :
10.1109/NSSMIC.1997.670567
Filename :
670567
Link To Document :
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