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Proceedings Paper

Pulmonary emphysema classification based on an improved texton learning model by sparse representation
Author(s): Min Zhang; Xiangrong Zhou; Satoshi Goshima; Huayue Chen; Chisako Muramatsu; Takeshi Hara; Ryujiro Yokoyama; Masayuki Kanematsu; Hiroshi Fujita
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Paper Abstract

In this paper, we present a texture classification method based on texton learned via sparse representation (SR) with new feature histogram maps in the classification of emphysema. First, an overcomplete dictionary of textons is learned via KSVD learning on every class image patches in the training dataset. In this stage, high-pass filter is introduced to exclude patches in smooth area to speed up the dictionary learning process. Second, 3D joint-SR coefficients and intensity histograms of the test images are used for characterizing regions of interest (ROIs) instead of conventional feature histograms constructed from SR coefficients of the test images over the dictionary. Classification is then performed using a classifier with distance as a histogram dissimilarity measure. Four hundreds and seventy annotated ROIs extracted from 14 test subjects, including 6 paraseptal emphysema (PSE) subjects, 5 centrilobular emphysema (CLE) subjects and 3 panlobular emphysema (PLE) subjects, are used to evaluate the effectiveness and robustness of the proposed method. The proposed method is tested on 167 PSE, 240 CLE and 63 PLE ROIs consisting of mild, moderate and severe pulmonary emphysema. The accuracy of the proposed system is around 74%, 88% and 89% for PSE, CLE and PLE, respectively.

Paper Details

Date Published: 18 March 2013
PDF: 7 pages
Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86700F (18 March 2013); doi: 10.1117/12.2007934
Show Author Affiliations
Min Zhang, Gifu Univ. School of Medicine (Japan)
Xiangrong Zhou, Gifu Univ. School of Medicine (Japan)
Satoshi Goshima, Gifu Univ. Hospital (Japan)
Huayue Chen, Gifu Univ. School of Medicine (Japan)
Chisako Muramatsu, Gifu Univ. School of Medicine (Japan)
Takeshi Hara, Gifu Univ. School of Medicine (Japan)
Ryujiro Yokoyama, Gifu Univ. Hospital (Japan)
Masayuki Kanematsu, Gifu Univ. Hospital (Japan)
Hiroshi Fujita, Gifu Univ. School of Medicine (Japan)

Published in SPIE Proceedings Vol. 8670:
Medical Imaging 2013: Computer-Aided Diagnosis
Carol L. Novak; Stephen Aylward, Editor(s)

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