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Proceedings Paper

Texture-based feature extraction using the wavelet transform on x rays
Author(s): Ingrid Scholl; Erich Pelikan; Rudolf Repges; Thomas Tolxdorff
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Paper Abstract

Focal bone lesions and bone tumors are of special interest in radiology because of their rare appearance (only one percent of all tumor diseases). This motivates a computer-assisted diagnosis recognizing bone tumors. Our image analysis extracts the radiomorphologic features in x rays using a texture-based approach. Diagnosing x rays, the radiologist examines regions of different size in x rays to gain both local and global impressions of the morphologic structure. In order to analyze the x ray in different resolutions, a multiresolution approach based on the wavelet transform is applied to the radiographs. To measure the informational content of the wavelet coefficients for the individual morphologic structures, we calculated a normalized summation of the absolute wavelet coefficients within a local N by N window and called this feature the local energy. We proved in different tests this feature and the parameter for calculating the wavelet transform for a correct classification of the medical structures, applying a topologic map from Kohonen. It is shown that the wavelet transform is well suited for the feature extraction of textures.

Paper Details

Date Published: 16 April 1996
PDF: 11 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237970
Show Author Affiliations
Ingrid Scholl, Technical Univ. Aachen (Germany)
Erich Pelikan, Freie Univ. Berlin (Germany)
Rudolf Repges, Technical Univ. Aachen (Germany)
Thomas Tolxdorff, Freie Univ. Berlin (Germany)

Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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