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Proceedings Paper

Texture analysis of tissue structures as a task of nonlinear identification on base of wave-packet decomposition
Author(s): Dmitriy V. Shutin; Alexander M. Akhmetshin
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Paper Abstract

In this work we have developed a new effective method to increase the probity of tissue structure classification based on X-Ray and X-RAY CT images. The proposed method requires much smaller resolution and it is also more sensitive to the small changes in the topology of tissue structure. As initial data, we used X-ray and X-ray CT images of coxa, affected with osteoporosis. The wave packet decompositions of a cut form the image were interpreted as an input and output of virtual non-linear system. The peculiarities of non-linear transfer characteristics were considered for performing a qualitative classification. The method helps to classify about 84% of data visually. A neuron network, which was used for classification based on this technique, has given an opportunity to classify correctly about 94% of all reviewed data. The described method was successfully applied to classification of other tissue.

Paper Details

Date Published: 19 January 2001
PDF: 9 pages
Proc. SPIE 4158, Biomonitoring and Endoscopy Technologies, (19 January 2001); doi: 10.1117/12.413805
Show Author Affiliations
Dmitriy V. Shutin, Dnepropetrovsk State Univ. (Austria)
Alexander M. Akhmetshin, Dnepropetrovsk State Univ. (Ukraine)


Published in SPIE Proceedings Vol. 4158:
Biomonitoring and Endoscopy Technologies
Israel Gannot; Yuri V. Gulyaev; Theodore G. Papazoglou; Christiaan F. P. van Swol, Editor(s)

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