DocumentCode :
1678249
Title :
3D image analysis of lung area using thin slice CT images
Author :
Tozaki, Tetsuya ; Kawata, Yoshiki ; Niki, Noboru ; Ohmatsu, Hironobu ; Eguchi, Kenji ; Moriyama, Noriyuki
Author_Institution :
Dept. of Inf. Sci., Tokushima Univ., Japan
Volume :
3
fYear :
1995
Firstpage :
1592
Abstract :
The lung area has very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it is difficult for even a medical doctor to understand the spatial relationships between the tumor, the bronchus, and the blood vessels. Here the authors present a 3D image analysis method for lung areas using thin slice CT images, and they apply this system to the differential diagnosis of malignant and benign tumors. This system involves two steps. The first step is the analysis of the structure of the lung area, and the second step is the visualization of classified pulmonary organs for quantitative analysis
Keywords :
computerised tomography; lung; medical image processing; 3D image analysis; benign tumors; blood vessels; bronchus; classified pulmonary organs; differential diagnosis; lung area; malignant tumors; medical diagnostic imaging; medical doctor; pulmonary artery; pulmonary vein; quantitative analysis; spatial relationship; thin slice CT images; Arteries; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Image analysis; Lungs; Medical diagnostic imaging; Neoplasms; Veins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-3180-X
Type :
conf
DOI :
10.1109/NSSMIC.1995.500331
Filename :
500331
Link To Document :
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