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Proceedings Paper

Automatic detection method of lung cancers including ground-glass opacities from chest x-ray CT images
Author(s): Toshiharu Ezoe; Hotaka Takizawa; Shinji Yamamoto; Akinobu Shimizu; Tohru Matsumoto; Yukio Tateno; Takeshi Iimura; Mitsuomi Matsumoto
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Paper Abstract

In this paper, we described an algorithm of automatic detection of ground glass opacities (GGO) from X-ray CT images. In this algorithm, at first, pathological shadow candidates are extracted by our variable N-Quoit filter which is a kind of mathematical morphology filter. Next, shadow candidates are classified into some classes using feature values calculated from the shadow candidates. By using discriminate functions, at last, shadow candidates are discriminated between normal shadows and abnormal ones. This method was examined by 38 samples (including GGO's shadows) of chest CT images, and proved to be very effective.

Paper Details

Date Published: 9 May 2002
PDF: 9 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467137
Show Author Affiliations
Toshiharu Ezoe, Toyohashi Univ. of Technology (Japan)
Hotaka Takizawa, Toyohashi Univ. of Technology (Japan)
Shinji Yamamoto, Toyohashi Univ. of Technology (Japan)
Akinobu Shimizu, Tokyo Univ. of Agriculture and Technology (Japan)
Tohru Matsumoto, National Institute of Radiological Science (Japan)
Yukio Tateno, National Institute of Radiological Science (Japan)
Takeshi Iimura, National Institute of Radiological Science (Japan)
Mitsuomi Matsumoto, Tokyo Metropolitan Univ. of Health Sciences (Japan)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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