Image processing for computer-aided diagnosis of lung cancer screening system by CT (LSCT)

被引：31

作者：

Okumura, T ^{[1
]}

Miwa, T ^{[1
]}

Kako, J ^{[1
]}

Yamamoto, S ^{[1
]}

Matsumoto, M ^{[1
]}

Tateno, Y ^{[1
]}

Iinuma, T ^{[1
]}

Matsumoto, T ^{[1
]}

机构：

[1] Toyohashi Univ Technol, Dept Knowledge Based Informat Engn, Aichi 4418122, Japan

来源：

MEDICAL IMAGING 1998: IMAGE PROCESSING, PTS 1 AND 2 | 1998年 / 3338卷

关键词：

X-ray CT image processing; mathematical morphology; isolated shadow extraction; automatic diagnosis; lung cancer;

D O I：

10.1117/12.310860

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper, we report the image processing technique for computer-aided diagnosis of lung cancer screening system by CT (LSCT). LSCT is the newly developed mobile-type CT scanner for the mass screening of lung cancer by our project team. In this new 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.

引用

页码：1314 / 1322

页数：9