3D image analysis of the lung area using thin section CT images and its application to differential diagnosis

Author

Tozaki, Tetsuya ; Kawata, Yoshiki ; Niki, Noboru ; Ohmatsu, Hironobu ; Eguchi, Kenji ; Moriyama, Noriyuki

Author_Institution

Dept. of Inf. Sci., Tokushima Univ., Japan

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

281

Abstract

The lung area has a very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it is difficult for even medical specialists to understand the spatial relationships between the tumor, the bronchus, and the blood vessels. Here we present a 3D image analysis method of the lung area using thin section CT images, and we apply this system to the differential diagnosis of abnormal tissue to determine if it is of malignant or benign nature. This system consists of two steps. The first step is the analysis and classification of the structure of the lung area, and the second step is the 3D visualization and their quantitative analysis of pre-classified pulmonary organs for quantitative analysis

Keywords

computerised tomography; image classification; lung; medical image processing; 3D image analysis; 3D image analysis method; 3D visualization; X-ray CT scanner; abnormal tissue; benign nature; blood vessels; bronchus; classification; differential diagnosis; lung area; lung cancer; malignant nature; pre-classified pulmonary organs; pulmonary artery; pulmonary vein; quantitative analysis; thin section CT images; tumor; Arteries; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Image analysis; Lungs; Medical diagnostic imaging; Neoplasms; Veins;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560808

Filename

560808