Texture-based feature extraction using the wavelet transform on x rays

Ingrid Scholl; Erich Pelikan; Rudolf Repges; Thomas Tolxdorff

doi:10.1117/12.237970

16 April 1996 Texture-based feature extraction using the wavelet transform on x rays

Ingrid Scholl, Erich Pelikan, Rudolf Repges, Thomas Tolxdorff

Proceedings Volume 2710, Medical Imaging 1996: Image Processing; (1996) https://doi.org/10.1117/12.237970
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

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.

Citation Download Citation

Ingrid Scholl, Erich Pelikan, Rudolf Repges, and Thomas Tolxdorff "Texture-based feature extraction using the wavelet transform on x rays", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237970

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