Computer-aided diagnosis for pulmonary nodules based on helical CT images

Author

Kanazawa, Kenji ; Kawata, Yoshimasa ; Niki, N. ; Satoh, H. ; Ohmatsu, H. ; Kakinuma, R.

Author_Institution

Takuma Nat. Coll. of Technol., Kagawa

Volume

2

fYear

1998

fDate

16-20 Aug 1998

Firstpage

1683

Abstract

We present a computer assisted automatic diagnostic system for lung cancer that detects nodule candidates at an early stage from helical CT images of the thorax. Our diagnostic system consists of analytic and diagnostic procedures. In the analysis procedure, we extract the lung and the blood vessel regions using a fuzzy clustering algorithm, then we analyze the features of these regions. In the diagnosis procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations

Keywords

blood vessels; cancer; computerised tomography; feature extraction; lung; medical image processing; blood vessel regions; computer-aided diagnosis; diagnostic rules; fuzzy clustering algorithm; helical CT images; pulmonary nodules; thorax; Algorithm design and analysis; Biomedical imaging; Blood vessels; Cancer detection; Clustering algorithms; Computed tomography; Computer aided diagnosis; Feature extraction; Lungs; Thorax;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on

Conference_Location

Brisbane, Qld.

ISSN

1051-4651

Print_ISBN

0-8186-8512-3

Type

conf

DOI

10.1109/ICPR.1998.712045

Filename

712045