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