Automatic detection of lung cancers in chest CT images by variable N-Quoit filter

Author

Okumura, Toshiaki ; Miwa, Tomoko ; Kako, Jun-ichi ; Yamamoto, Shinji ; Matsumoto, Mitsuomi ; Tateno, Yukio ; Iinuma, Takeshi ; Matsumoto, Tohru

Author_Institution

Toyohashi Univ. of Technol., Japan

Volume

2

fYear

1998

fDate

16-20 Aug 1998

Firstpage

1671

Abstract

We report the image processing technique for computer-aided diagnosis of the lung cancer screening system by CT (LSCT). LSCT is a mobile-type CT scanner for the mass screening of lung cancer. In this LSCT system, one essential problem is the increase of image information to be diagnosed by a doctor to about 30 slices per patient from 1 X-ray film. To solve this difficult problem, we are trying to reduce the image information drastically to be displayed for the doctor by image processing techniques. We propose a new method named variable new-Quoit filter for the automatic recognition of the pathological shadow candidates. Our computer aided diagnosis (CAD) system can satisfactorily reduce the number of CT cross sections by this method, containing the abnormal shadow candidates

Keywords

cancer; computerised tomography; filtering theory; lung; medical image processing; chest CT images; computer-aided diagnosis; lung cancer screening system; lung cancers; mass screening; mobile-type CT scanner; pathological shadow candidates; variable new-Quoit filter; Biomedical imaging; Blood vessels; Cancer detection; Computed tomography; Filters; Lungs;

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.1998.712041

Filename

712041