DocumentCode :
350293
Title :
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
Link To Document :
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