Lung Tissue Classification Using Wavelet Frames

A. Depeursinge, D. Sage, A. Hidki, A. Platon, P.-A. Poletti, M. Unser, H. Müller

Proceedings of the Twenty-Ninth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, in conjunction with the biennial Conference of the French Society of Biological and Medical Engineering (EMBC'07), Lyon, France, August 23-26, 2007, pp. 6259-6262.

We describe a texture classification system that identifies lung tissue patterns from high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD). This pattern recognition task is part of an image-based diagnostic aid system for ILDs. Five lung tissue patterns (healthy, emphysema, ground glass, fibrosis and microdules) selected from a multimedia database are classified using the overcomplete discrete wavelet frame decompostion combined with grey-level histogram features. The overall multiclass accuracy reaches 92.5% of correct matches while combining the two types of features, which are found to be complementary.

@INPROCEEDINGS(http://bigwww.epfl.ch/publications/depeursinge0701.html,
AUTHOR="Depeursinge, A. and Sage, D. and Hidki, A. and Platon, A. and
        Poletti, P.-A. and Unser, M. and M{\"{u}}ller, H.",
TITLE="Lung Tissue Classification Using Wavelet Frames",
BOOKTITLE="Proceedings of the Twenty-Ninth Annual International
        Conference of the {IEEE} Engineering in Medicine and Biology
        Society, in conjunction with the biennial Conference of the French
        Society of Biological and Medical Engineering ({EMBC'07})",
YEAR="2007",
editor="",
volume="",
series="",
pages="6259--6262",
address="Lyon, France",
month="August 23-26,",
organization="",
publisher="",
note="")

© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.