Pulmonary organs analysis method and its evaluation based on thoracic thin-section CT images

Author

Tanaka, Akira ; Tozaki, Tetsuya ; Kawata, Yoshiki ; Niki, Noboru ; Ohmatsu, Hironobu ; Kakinuma, Ryutaro ; Kaneko, Masahiro ; Eguchi, Kenji ; Moriyama, Noriyuki

Author_Institution

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

Volume

3

fYear

1999

fDate

1999

Firstpage

421

Abstract

To diagnose the lung cancer as to determine if it has malignant or benign nature, it is important to understand the spatial relationship among the abnormal nodule and other pulmonary organs. But the lung field has very complicated structure, so it is difficult to understand the connectivity of the pulmonary organs using thin-section CT images. This method consists of two parts. The first is the classification of the pulmonary structure based on the anatomical information. The second is the quantitative analysis that is then applicable to differential diagnosis, such as differentiation of malignant or benign abnormal tissue

Keywords

blood vessels; cancer; computerised tomography; differentiation; lung; medical image processing; abnormal nodule; anatomical information; benign abnormal tissue; differential diagnosis; lung cancer; malignant abnormal tissue; pulmonary organs; pulmonary organs analysis method; quantitative analysis; spatial relationship; thoracic thin-section CT images; Arteries; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Hospitals; Image analysis; Lung neoplasms; Shape; Veins;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-5467-2

Type

conf

DOI

10.1109/ICIP.1999.817148

Filename

817148