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Proceedings Paper

Image processing for computer-aided diagnosis of lung cancer screening system by CT (LSCT)
Author(s): Toshiaki Okumura; Tomoko Miwa; Jun-ichi Kako; Shinji Yamamoto; Mitsuomi Matsumoto; Yukio Tateno; Takeshi Iinuma; Tohru Matsumoto
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Paper Abstract

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 detector 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 system can satisfactorily reduce the number of CT cross sections by this method, containing the abnormal shadow candidates.

Paper Details

Date Published: 24 June 1998
PDF: 9 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310860
Show Author Affiliations
Toshiaki Okumura, Toyohashi Univ. of Technology (Japan)
Tomoko Miwa, Toyohashi Univ. of Technology (Japan)
Jun-ichi Kako, Toyohashi Univ. of Technology (Japan)
Shinji Yamamoto, Toyohashi Univ. of Technology (Japan)
Mitsuomi Matsumoto, Tokyo Metropolitan College of Allied Medical Sciences (Japan)
Yukio Tateno, National Institute of Radiological Science (Japan)
Takeshi Iinuma, Saitama Institute of Technology (Japan)
Tohru Matsumoto, National Institute of Radiological Science (Japan)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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