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Proceedings Paper

Eigen nodule: view-based recognition of lung nodule in chest x-ray CT images using subspace method
Author(s): Yoshihiko Nakamura; Gentaro Fukano; Hotaka Takizawa; Shinji Mizuno; Shinji Yamamoto; Tohru Matsumoto; Yukio Tateno; Takeshi Iinuma
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Paper Abstract

We previously proposed a recognition method of lung nodules based on experimentally selected feature values (such as contrast, circularities, etc.) of the suspicious shadows detected by our Quoit filter. In this paper, we propose a new recognition method of lung nodule using each CT value itself in ROI (region of interest) area as a feature value. In the clustering stage, first, the suspicious shadows are classified into some clusters using Principal Component (PC) theories. A set of CT values in each ROI is regarded as a feature vector, and then the eigen vectors and the eigen values are calculated for each cluster by applying Principal Component Analysis (PCA). The eigen vectors (we call them Eigen Images) corresponding to the first 10 largest eigen values, are utilized as base vectors for subspaces of the clusters in the feature space. In the discrimination stage, correlations are measured between the unknown shadow and the subspace which is spanned by the Eigen Images. If the correlation with the abnormal subspace is large, the suspicious shadow is determined to be abnormal. Otherwise, it is determined to be normal. By applying our new method, good results have been acquired.

Paper Details

Date Published: 12 May 2004
PDF: 5 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.535709
Show Author Affiliations
Yoshihiko Nakamura, Toyohashi Univ. of Technology (Japan)
Gentaro Fukano, Toyohashi Univ. of Technology (Japan)
Yokogawa Electric Corp. (Japan)
Hotaka Takizawa, Toyohashi Univ. of Technology (Japan)
Shinji Mizuno, Toyohashi Univ. of Technology (Japan)
Shinji Yamamoto, Toyohashi Univ. of Technology (Japan)
Tohru Matsumoto, National Institute of Radiological Sciences (Japan)
Yukio Tateno, National Institute of Radiological Sciences (Japan)
Takeshi Iinuma, National Institute of Radiological Sciences (Japan)


Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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